GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer

DEFF Research Database (Denmark)

Pharoah, Paul D P; Tsai, Ya-Yu; Ramus, Susan J

2013-01-01

Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24...

Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD.

Directory of Open Access Journals (Sweden)

Carsten A Böger

2011-09-01

Full Text Available Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD and end stage renal disease (ESRD. Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR <60ml/min/1.73m(2 at follow-up and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls. SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1. SNPs in UMOD (OR = 0.92, p = 0.04 and GCKR (OR = 0.93, p = 0.03 were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.

High-Resolution Genome-Wide Linkage Mapping Identifies Susceptibility Loci for BMI in the Chinese Population

DEFF Research Database (Denmark)

Zhang, Dong Feng; Pang, Zengchang; Li, Shuxia

2012-01-01

The genetic loci affecting the commonly used BMI have been intensively investigated using linkage approaches in multiple populations. This study aims at performing the first genome-wide linkage scan on BMI in the Chinese population in mainland China with hypothesis that heterogeneity in genetic...... linkage could exist in different ethnic populations. BMI was measured from 126 dizygotic twins in Qingdao municipality who were genotyped using high-resolution Affymetrix Genome-Wide Human SNP arrays containing about 1 million single-nucleotide polymorphisms (SNPs). Nonparametric linkage analysis...... in western countries. Multiple loci showing suggestive linkage were found on chromosome 1 (lod score 2.38 at 242 cM), chromosome 8 (2.48 at 95 cM), and chromosome 14 (2.2 at 89.4 cM). The strong linkage identified in the Chinese subjects that is consistent with that found in populations of European origin...

Genome-wide association study identifies five new schizophrenia loci.

LENUS (Irish Health Repository)

Ripke, Stephan

2011-10-01

We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 × 10(-11)) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 × 10(-9)), ANK3 (rs10994359, P = 2.5 × 10(-8)) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 × 10(-9)).

Genome-wide Association Study Identifies New Loci for Resistance to Leptosphaeria maculans in Canola

Directory of Open Access Journals (Sweden)

Harsh Raman

2016-10-01

Full Text Available Blackleg, caused by Leptosphaeria maculans, is a significant disease which affects the sustainable production of canola. This study reports a genome-wide association study based on 18,804 polymorphic SNPs to identify loci associated with qualitative and quantitative resistance to L. maculans. Genomic regions delimited with 503 significant SNP markers, that are associated with resistance evaluated using 12 single spore isolates and pathotypes from four canola stubble were identified. Several significant associations were detected at known disease resistance loci including in the vicinity of recently cloned Rlm2/LepR3 genes, and at new loci on chromosomes A01/C01, A02/C02, A03/C03, A05/C05, A06, A08, and A09. In addition, we validated statistically significant associations on A01, A07 and A10 in four genetic mapping populations, demonstrating that GWAS marker loci are indeed associated with resistance to L. maculans. One of the novel loci identified for the first time, Rlm12, conveys adult plant resistance and mapped within 13.2 kb from Arabidopsis R gene of TIR-NBS class. We showed that resistance loci are located in the vicinity of R genes of A. thaliana and B. napus on the sequenced genome of B. napus cv. Darmor-bzh. Significantly associated SNP markers provide a valuable tool to enrich germplasm for favorable alleles in order to improve the level of resistance to L. maculans in canola.

Systems Genetics Reveals the Functional Context of PCOS Loci and Identifies Genetic and Molecular Mechanisms of Disease Heterogeneity

Science.gov (United States)

Xu, Ning; Cui, Jinrui; Mengesha, Emebet; Chen, Yii-Der I.; Taylor, Kent D.; Azziz, Ricardo; Goodarzi, Mark O.

2015-01-01

Genome wide association studies (GWAS) have revealed 11 independent risk loci for polycystic ovary syndrome (PCOS), a common disorder in young women characterized by androgen excess and oligomenorrhea. To put these risk loci and the single nucleotide polymorphisms (SNPs) therein into functional context, we measured DNA methylation and gene expression in subcutaneous adipose tissue biopsies to identify PCOS-specific alterations. Two genes from the LHCGR region, STON1-GTF2A1L and LHCGR, were overexpressed in PCOS. In analysis stratified by obesity, LHCGR was overexpressed only in non-obese PCOS women. Although not differentially expressed in the entire PCOS group, INSR was underexpressed in obese PCOS subjects only. Alterations in gene expression in the LHCGR, RAB5B and INSR regions suggest that SNPs in these loci may be functional and could affect gene expression directly or indirectly via epigenetic alterations. We identified reduced methylation in the LHCGR locus and increased methylation in the INSR locus, changes that are concordant with the altered gene expression profiles. Complex patterns of meQTL and eQTL were identified in these loci, suggesting that local genetic variation plays an important role in gene regulation. We propose that non-obese PCOS women possess significant alterations in LH receptor expression, which drives excess androgen secretion from the ovary. Alternatively, obese women with PCOS possess alterations in insulin receptor expression, with underexpression in metabolic tissues and overexpression in the ovary, resulting in peripheral insulin resistance and excess ovarian androgen production. These studies provide a genetic and molecular basis for the reported clinical heterogeneity of PCOS. PMID:26305227

Systems Genetics Reveals the Functional Context of PCOS Loci and Identifies Genetic and Molecular Mechanisms of Disease Heterogeneity.

Science.gov (United States)

Jones, Michelle R; Brower, Meredith A; Xu, Ning; Cui, Jinrui; Mengesha, Emebet; Chen, Yii-Der I; Taylor, Kent D; Azziz, Ricardo; Goodarzi, Mark O

2015-08-01

Genome wide association studies (GWAS) have revealed 11 independent risk loci for polycystic ovary syndrome (PCOS), a common disorder in young women characterized by androgen excess and oligomenorrhea. To put these risk loci and the single nucleotide polymorphisms (SNPs) therein into functional context, we measured DNA methylation and gene expression in subcutaneous adipose tissue biopsies to identify PCOS-specific alterations. Two genes from the LHCGR region, STON1-GTF2A1L and LHCGR, were overexpressed in PCOS. In analysis stratified by obesity, LHCGR was overexpressed only in non-obese PCOS women. Although not differentially expressed in the entire PCOS group, INSR was underexpressed in obese PCOS subjects only. Alterations in gene expression in the LHCGR, RAB5B and INSR regions suggest that SNPs in these loci may be functional and could affect gene expression directly or indirectly via epigenetic alterations. We identified reduced methylation in the LHCGR locus and increased methylation in the INSR locus, changes that are concordant with the altered gene expression profiles. Complex patterns of meQTL and eQTL were identified in these loci, suggesting that local genetic variation plays an important role in gene regulation. We propose that non-obese PCOS women possess significant alterations in LH receptor expression, which drives excess androgen secretion from the ovary. Alternatively, obese women with PCOS possess alterations in insulin receptor expression, with underexpression in metabolic tissues and overexpression in the ovary, resulting in peripheral insulin resistance and excess ovarian androgen production. These studies provide a genetic and molecular basis for the reported clinical heterogeneity of PCOS.

Genome-wide analysis identifies 12 loci influencing human reproductive behavior

NARCIS (Netherlands)

Barban, Nicola; Jansen, Rick; de Vlaming, Ronald; Vaez, Ahmad; Mandemakers, Jornt J; Tropf, Felix C; Shen, Xia; Wilson, James F; Chasman, Daniel I; Nolte, Ilja M; Tragante, Vinicius; van der Laan, Sander W; Perry, John R B; Kong, Augustine; Ahluwalia, Tarunveer S; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E; Turman, Constance; Concas, Maria Pina; Cordell, Heather J; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J; Gieger, Christian; Gunderson, Erica P; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F; McMahon, George; Meddens, S Fleur W; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A; Monnereau, Claire; van der Most, Peter J; Myhre, Ronny; Nalls, Mike A; Nutile, Teresa; Kalafati, Ioanna Panagiota; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B; Rich-Edwards, Janet; Rietveld, Cornelius A; Robino, Antonietta; Rose, Lynda M; Rueedi, Rico; Ryan, Kathleen A; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A; Stolk, Lisette; Streeten, Elizabeth; Tönjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Daria V; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bønnelykke, Klaus; Boomsma, Dorret I; Buring, Julie E; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R; Cucca, Francesco; Toniolo, Daniela; Davey-Smith, George; Deary, Ian J; Dedoussis, George; Deloukas, Panos; van Duijn, Cornelia M; de Geus, Eco J C; Eriksson, Johan G; Evans, Denis A; Faul, Jessica D; Sala, Cinzia Felicita; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans-Jörgen; Greiser, Karin Halina; Groenen, Patrick J F; de Haan, Hugoline G; Haerting, Johannes; Harris, Tamara B; Heath, Andrew C; Heikkilä, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G; Hopper, John; Hyppönen, Elina; Jacobsson, Bo; Jaddoe, Vincent W V; Johannesson, Magnus; Jugessur, Astanand; Kähönen, Mika; Kajantie, Eero; Kardia, Sharon L R; Keavney, Bernard; Kolcic, Ivana; Koponen, Päivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; La Bianca, Martina; Lachance, Genevieve; Iacono, William G; Lai, Sandra; Lehtimäki, Terho; Liewald, David C; Lindgren, Cecilia M; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrik K E; Martin, Nicholas G; McGue, Matt; McQuillan, Ruth; Medland, Sarah E; Meisinger, Christa; Mellström, Dan; Metspalu, Andres; Traglia, Michela; Milani, Lili; Mitchell, Paul; Montgomery, Grant W; Mook-Kanamori, Dennis; de Mutsert, Renée; Nohr, Ellen A; Ohlsson, Claes; Olsen, Jørn; Ong, Ken K; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda W J H; Perola, Markus; Peyser, Patricia A; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J; Räikkönen, Katri; Raitakari, Olli; Ridker, Paul M; Ring, Susan M; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D; Starr, John M; Stöckl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A; Thorsteinsdottir, Unnur; Thurik, A Roy; Timpson, Nicholas J; Tung, Joyce Y; Uitterlinden, André G; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Völzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G; Wang, Jie Jin; Wareham, Nicholas J; Weir, David R; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F; Zondervan, Krina T; Stefansson, Kari; Krueger, Robert F; Lee, James J; Benjamin, Daniel J; Cesarini, David; Koellinger, Philipp D; den Hoed, Marcel; Snieder, Harold; Mills, Melinda C

2016-01-01

The genetic architecture of human reproductive behavior age at first birth (AFB) and number of children ever born (NEB) has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the

Genome-wide analysis identifies 12 loci influencing human reproductive behavior

NARCIS (Netherlands)

Barban, Nicola; Jansen, Rick; De Vlaming, Ronald; Vaez, Ahmad; Mandemakers, Jornt J.; Tropf, Felix C.; Shen, Xia; Wilson, James F.; Chasman, Daniel I.; Nolte, Ilja M.; Tragante, Vinicius; Van Der Laan, Sander W.; Perry, John R B; Kong, Augustine; Ahluwalia, Tarunveer S.; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F.; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E.; Turman, Constance; Concas, Maria Pina; Cordell, Heather J.; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F.; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J.; Gieger, Christian; Gunderson, Erica P.; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K.; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A.; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F.; McMahon, George; Meddens, S. Fleur W; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A.; Monnereau, Claire; Van Der Most, Peter J.; Myhre, Ronny; Nalls, Mike A.; Nutile, Teresa; Kalafati, Ioanna Panagiota; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B.; Rich-Edwards, Janet; Rietveld, Cornelius A.; Robino, Antonietta; Rose, Lynda M.; Rueedi, Rico; Ryan, Kathleen A.; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A.; Stolk, Lisette; Streeten, Elizabeth; Tönjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Daria V.; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bønnelykke, Klaus; Boomsma, Dorret I.; Buring, Julie E.; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R.; Cucca, Francesco; Toniolo, Daniela; Davey-Smith, George; Deary, Ian J.; Dedoussis, George; Deloukas, Panos; Van Duijn, Cornelia M.; De Geus, Eco J C; Eriksson, Johan G.; Evans, Denis A.; Faul, Jessica D.; Sala, Cinzia Felicita; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans Jörgen; Greiser, Karin Halina; Groenen, Patrick J F; De Haan, Hugoline G.; Haerting, Johannes; Harris, Tamara B.; Heath, Andrew C.; Heikkilä, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G.; Hopper, John; Hyppönen, Elina; Jacobsson, Bo; Jaddoe, Vincent W V; Johannesson, Magnus; Jugessur, Astanand; Kähönen, Mika; Kajantie, Eero; Kardia, Sharon L R; Keavney, Bernard; Kolcic, Ivana; Koponen, Päivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; La Bianca, Martina; Lachance, Genevieve; Iacono, William G.; Lai, Sandra; Lehtimäki, Terho; Liewald, David C.; Lindgren, Cecilia M.; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrikke; Martin, Nicholas G.; McGue, Matt; McQuillan, Ruth; Medland, Sarah E.; Meisinger, Christa; Mellström, Dan; Metspalu, Andres; Traglia, Michela; Milani, Lili; Mitchell, Paul; Montgomery, Grant W.; Mook-Kanamori, Dennis; De Mutsert, Renée; Nohr, Ellen A.; Ohlsson, Claes; Olsen, Jørn; Ong, Ken K.; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda W J H; Perola, Markus; Peyser, Patricia A.; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J.; Räikkönen, Katri; Raitakari, Olli; Ridker, Paul M.; Ring, Susan M.; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D.; Starr, John M.; Stöckl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A.; Thorsteinsdottir, Unnur; Roy Thurik, A.; Timpson, Nicholas J.; Tung, Joyce Y.; Uitterlinden, André G.; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Völzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G.; Wang, Jie Jin; Wareham, Nicholas J.; Weir, David R.; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F.; Zondervan, Krina T.; Stefansson, Kari; Krueger, Robert F.; Lee, James J.; Benjamin, Daniel J.; Cesarini, David; Koellinger, Philipp D.; Den Hoed, Marcel; Snieder, Harold; Mills, Melinda C.

2016-01-01

The genetic architecture of human reproductive behavior - age at first birth (AFB) and number of children ever born (NEB) - has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

DEFF Research Database (Denmark)

Justice, Anne E; Winkler, Thomas W; Feitosa, Mary F

2017-01-01

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87......% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent...... direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting...

Genome-wide analysis identifies 12 loci influencing human reproductive behavior

NARCIS (Netherlands)

Barban, Nicola; Jansen, Rick; Vlaming, de Ronald; Vaez, Ahmad; Mandemakers, Jornt J.; Tropf, Felix C.; Shen, Xia; Wilson, James F.; Chasman, Daniel I.; Nolte, Ilja M.; Tragante, Vinicius; Laan, van der Sander W.; Perry, John R.B.; Kong, Augustine; Ahluwalia, Tarunveer S.; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F.; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E.; Turman, Constance; Concas, Maria Pina; Cordell, Heather J.; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F.; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J.; Gieger, Christian; Gunderson, Erica P.; Guo, Xiuqing; Hayward, Caroline; He, Chunyan; Hofer, Edith; Huang, Hongyan; Joshi, Peter K.; Kanoni, Stavroula; Karlsson, Robert; Kiechl, Stefan; Kifley, Annette; Kluttig, Alexander; Kraft, Peter; Lagou, Vasiliki; Lecoeur, Cecile; Lahti, Jari; Li-Gao, Ruifang; Lind, Penelope A.; Liu, Tian; Makalic, Enes; Mamasoula, Crysovalanto; Matteson, Lindsay; Mbarek, Hamdi; McArdle, Patrick F.; McMahon, George; Meddens, S.F.W.; Mihailov, Evelin; Miller, Mike; Missmer, Stacey A.; Monnereau, Claire; Most, van der Peter J.; Myhre, Ronny; Nalls, Mike A.; Nutile, Teresa; Kalafati, Ioanna Panagiota; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B.; Rich-Edwards, Janet; Rietveld, Cornelius A.; Robino, Antonietta; Rose, Lynda M.; Rueedi, Rico; Ryan, Kathleen A.; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A.; Stolk, Lisette; Streeten, Elizabeth; Tönjes, Anke; Thorleifsson, Gudmar; Ulivi, Sheila; Wedenoja, Juho; Wellmann, Juergen; Willeit, Peter; Yao, Jie; Yengo, Loic; Zhao, Jing Hua; Zhao, Wei; Zhernakova, Daria V.; Amin, Najaf; Andrews, Howard; Balkau, Beverley; Barzilai, Nir; Bergmann, Sven; Biino, Ginevra; Bisgaard, Hans; Bønnelykke, Klaus; Boomsma, Dorret I.; Buring, Julie E.; Campbell, Harry; Cappellani, Stefania; Ciullo, Marina; Cox, Simon R.; Cucca, Francesco; Toniolo, Daniela; Davey-Smith, George; Deary, Ian J.; Dedoussis, George; Deloukas, Panos; Duijn, van Cornelia M.; Geus, de Eco J.C.; Eriksson, Johan G.; Evans, Denis A.; Faul, Jessica D.; Sala, Cinzia Felicita; Froguel, Philippe; Gasparini, Paolo; Girotto, Giorgia; Grabe, Hans-Jörgen; Greiser, Karin Halina; Groenen, Patrick J.F.; Haan, de Hugoline G.; Haerting, Johannes; Harris, Tamara B.; Heath, Andrew C.; Heikkilä, Kauko; Hofman, Albert; Homuth, Georg; Holliday, Elizabeth G.; Hopper, John; Hyppönen, Elina; Jacobsson, Bo; Jaddoe, Vincent W.V.; Johannesson, Magnus; Jugessur, Astanand; Kähönen, Mika; Kajantie, Eero; Kardia, Sharon L.R.; Keavney, Bernard; Kolcic, Ivana; Koponen, Päivikki; Kovacs, Peter; Kronenberg, Florian; Kutalik, Zoltan; Bianca, la Martina; Lachance, Genevieve; Iacono, William G.; Lai, Sandra; Lehtimäki, Terho; Liewald, David C.; Lindgren, Cecilia M.; Liu, Yongmei; Luben, Robert; Lucht, Michael; Luoto, Riitta; Magnus, Per; Magnusson, Patrik K.E.; Martin, Nicholas G.; McGue, Matt; McQuillan, Ruth; Medland, Sarah E.; Meisinger, Christa; Mellström, Dan; Metspalu, Andres; Traglia, Michela; Milani, Lili; Mitchell, Paul; Montgomery, Grant W.; Mook-Kanamori, Dennis; Mutsert, de Renée; Nohr, Ellen A.; Ohlsson, Claes; Olsen, Jørn; Ong, Ken K.; Paternoster, Lavinia; Pattie, Alison; Penninx, Brenda W.J.H.; Perola, Markus; Peyser, Patricia A.; Pirastu, Mario; Polasek, Ozren; Power, Chris; Kaprio, Jaakko; Raffel, Leslie J.; Räikkönen, Katri; Raitakari, Olli; Ridker, Paul M.; Ring, Susan M.; Roll, Kathryn; Rudan, Igor; Ruggiero, Daniela; Rujescu, Dan; Salomaa, Veikko; Schlessinger, David; Schmidt, Helena; Schmidt, Reinhold; Schupf, Nicole; Smit, Johannes; Sorice, Rossella; Spector, Tim D.; Starr, John M.; Stöckl, Doris; Strauch, Konstantin; Stumvoll, Michael; Swertz, Morris A.; Thorsteinsdottir, Unnur; Thurik, A.R.; Timpson, Nicholas J.; Tung, Joyce Y.; Uitterlinden, André G.; Vaccargiu, Simona; Viikari, Jorma; Vitart, Veronique; Völzke, Henry; Vollenweider, Peter; Vuckovic, Dragana; Waage, Johannes; Wagner, Gert G.; Wang, Jie Jin; Wareham, Nicholas J.; Weir, David R.; Willemsen, Gonneke; Willeit, Johann; Wright, Alan F.; Zondervan, Krina T.; Stefansson, Kari; Krueger, Robert F.; Lee, James J.; Benjamin, Daniel J.; Cesarini, David; Koellinger, Philipp D.; Hoed, den Marcel; Snieder, Harold; Mills, Melinda C.

2016-01-01

The genetic architecture of human reproductive behavior—age at first birth (AFB) and number of children ever born (NEB)—has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the

Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47

DEFF Research Database (Denmark)

Anderson, Carl A; Boucher, Gabrielle; Lees, Charlie W

2011-01-01

Genome-wide association studies and candidate gene studies in ulcerative colitis have identified 18 susceptibility loci. We conducted a meta-analysis of six ulcerative colitis genome-wide association study datasets, comprising 6,687 cases and 19,718 controls, and followed up the top association...... signals in 9,628 cases and 12,917 controls. We identified 29 additional risk loci (P associated loci to 47. After annotating associated regions using GRAIL, expression quantitative trait loci data and correlations with non-synonymous SNPs, we...... identified many candidate genes that provide potentially important insights into disease pathogenesis, including IL1R2, IL8RA-IL8RB, IL7R, IL12B, DAP, PRDM1, JAK2, IRF5, GNA12 and LSP1. The total number of confirmed inflammatory bowel disease risk loci is now 99, including a minimum of 28 shared association...

Systems Genetics Reveals the Functional Context of PCOS Loci and Identifies Genetic and Molecular Mechanisms of Disease Heterogeneity.

Directory of Open Access Journals (Sweden)

Michelle R Jones

2015-08-01

Full Text Available Genome wide association studies (GWAS have revealed 11 independent risk loci for polycystic ovary syndrome (PCOS, a common disorder in young women characterized by androgen excess and oligomenorrhea. To put these risk loci and the single nucleotide polymorphisms (SNPs therein into functional context, we measured DNA methylation and gene expression in subcutaneous adipose tissue biopsies to identify PCOS-specific alterations. Two genes from the LHCGR region, STON1-GTF2A1L and LHCGR, were overexpressed in PCOS. In analysis stratified by obesity, LHCGR was overexpressed only in non-obese PCOS women. Although not differentially expressed in the entire PCOS group, INSR was underexpressed in obese PCOS subjects only. Alterations in gene expression in the LHCGR, RAB5B and INSR regions suggest that SNPs in these loci may be functional and could affect gene expression directly or indirectly via epigenetic alterations. We identified reduced methylation in the LHCGR locus and increased methylation in the INSR locus, changes that are concordant with the altered gene expression profiles. Complex patterns of meQTL and eQTL were identified in these loci, suggesting that local genetic variation plays an important role in gene regulation. We propose that non-obese PCOS women possess significant alterations in LH receptor expression, which drives excess androgen secretion from the ovary. Alternatively, obese women with PCOS possess alterations in insulin receptor expression, with underexpression in metabolic tissues and overexpression in the ovary, resulting in peripheral insulin resistance and excess ovarian androgen production. These studies provide a genetic and molecular basis for the reported clinical heterogeneity of PCOS.

Association analysis identifies 65 new breast cancer risk loci

DEFF Research Database (Denmark)

Michailidou, Kyriaki; Lindström, Sara; Dennis, Joe

2017-01-01

Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast...... cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P risk single-nucleotide polymorphisms in these loci fall......-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores...

Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

Science.gov (United States)

Elks, Cathy E.; Perry, John R.B.; Sulem, Patrick; Chasman, Daniel I.; Franceschini, Nora; He, Chunyan; Lunetta, Kathryn L.; Visser, Jenny A.; Byrne, Enda M.; Cousminer, Diana L.; Gudbjartsson, Daniel F.; Esko, Tõnu; Feenstra, Bjarke; Hottenga, Jouke-Jan; Koller, Daniel L.; Kutalik, Zoltán; Lin, Peng; Mangino, Massimo; Marongiu, Mara; McArdle, Patrick F.; Smith, Albert V.; Stolk, Lisette; van Wingerden, Sophie W.; Zhao, Jing Hua; Albrecht, Eva; Corre, Tanguy; Ingelsson, Erik; Hayward, Caroline; Magnusson, Patrik K.E.; Smith, Erin N.; Ulivi, Shelia; Warrington, Nicole M.; Zgaga, Lina; Alavere, Helen; Amin, Najaf; Aspelund, Thor; Bandinelli, Stefania; Barroso, Ines; Berenson, Gerald S.; Bergmann, Sven; Blackburn, Hannah; Boerwinkle, Eric; Buring, Julie E.; Busonero, Fabio; Campbell, Harry; Chanock, Stephen J.; Chen, Wei; Cornelis, Marilyn C.; Couper, David; Coviello, Andrea D.; d’Adamo, Pio; de Faire, Ulf; de Geus, Eco J.C.; Deloukas, Panos; Döring, Angela; Smith, George Davey; Easton, Douglas F.; Eiriksdottir, Gudny; Emilsson, Valur; Eriksson, Johan; Ferrucci, Luigi; Folsom, Aaron R.; Foroud, Tatiana; Garcia, Melissa; Gasparini, Paolo; Geller, Frank; Gieger, Christian; Gudnason, Vilmundur; Hall, Per; Hankinson, Susan E.; Ferreli, Liana; Heath, Andrew C.; Hernandez, Dena G.; Hofman, Albert; Hu, Frank B.; Illig, Thomas; Järvelin, Marjo-Riitta; Johnson, Andrew D.; Karasik, David; Khaw, Kay-Tee; Kiel, Douglas P.; Kilpeläinen, Tuomas O.; Kolcic, Ivana; Kraft, Peter; Launer, Lenore J.; Laven, Joop S.E.; Li, Shengxu; Liu, Jianjun; Levy, Daniel; Martin, Nicholas G.; McArdle, Wendy L.; Melbye, Mads; Mooser, Vincent; Murray, Jeffrey C.; Murray, Sarah S.; Nalls, Michael A.; Navarro, Pau; Nelis, Mari; Ness, Andrew R.; Northstone, Kate; Oostra, Ben A.; Peacock, Munro; Palmer, Lyle J.; Palotie, Aarno; Paré, Guillaume; Parker, Alex N.; Pedersen, Nancy L.; Peltonen, Leena; Pennell, Craig E.; Pharoah, Paul; Polasek, Ozren; Plump, Andrew S.; Pouta, Anneli; Porcu, Eleonora; Rafnar, Thorunn; Rice, John P.; Ring, Susan M.; Rivadeneira, Fernando; Rudan, Igor; Sala, Cinzia; Salomaa, Veikko; Sanna, Serena; Schlessinger, David; Schork, Nicholas J.; Scuteri, Angelo; Segrè, Ayellet V.; Shuldiner, Alan R.; Soranzo, Nicole; Sovio, Ulla; Srinivasan, Sathanur R.; Strachan, David P.; Tammesoo, Mar-Liis; Tikkanen, Emmi; Toniolo, Daniela; Tsui, Kim; Tryggvadottir, Laufey; Tyrer, Jonathon; Uda, Manuela; van Dam, Rob M.; van Meurs, Joyve B.J.; Vollenweider, Peter; Waeber, Gerard; Wareham, Nicholas J.; Waterworth, Dawn M.; Weedon, Michael N.; Wichmann, H. Erich; Willemsen, Gonneke; Wilson, James F.; Wright, Alan F.; Young, Lauren; Zhai, Guangju; Zhuang, Wei Vivian; Bierut, Laura J.; Boomsma, Dorret I.; Boyd, Heather A.; Crisponi, Laura; Demerath, Ellen W.; van Duijn, Cornelia M.; Econs, Michael J.; Harris, Tamara B.; Hunter, David J.; Loos, Ruth J.F.; Metspalu, Andres; Montgomery, Grant W.; Ridker, Paul M.; Spector, Tim D.; Streeten, Elizabeth A.; Stefansson, Kari; Thorsteinsdottir, Unnur; Uitterlinden, André G.; Widen, Elisabeth; Murabito, Joanne M.; Ong, Ken K.; Murray, Anna

2011-01-01

To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P=5.4×10−60) and 9q31.2 (P=2.2×10−33), we identified 30 novel menarche loci (all P<5×10−8) and found suggestive evidence for a further 10 loci (P<1.9×10−6). New loci included four previously associated with BMI (in/near FTO, SEC16B, TRA2B and TMEM18), three in/near other genes implicated in energy homeostasis (BSX, CRTC1, and MCHR2), and three in/near genes implicated in hormonal regulation (INHBA, PCSK2 and RXRG). Ingenuity and MAGENTA pathway analyses identified coenzyme A and fatty acid biosynthesis as biological processes related to menarche timing. PMID:21102462

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.

Science.gov (United States)

Justice, Anne E; Winkler, Thomas W; Feitosa, Mary F; Graff, Misa; Fisher, Virginia A; Young, Kristin; Barata, Llilda; Deng, Xuan; Czajkowski, Jacek; Hadley, David; Ngwa, Julius S; Ahluwalia, Tarunveer S; Chu, Audrey Y; Heard-Costa, Nancy L; Lim, Elise; Perez, Jeremiah; Eicher, John D; Kutalik, Zoltán; Xue, Luting; Mahajan, Anubha; Renström, Frida; Wu, Joseph; Qi, Qibin; Ahmad, Shafqat; Alfred, Tamuno; Amin, Najaf; Bielak, Lawrence F; Bonnefond, Amelie; Bragg, Jennifer; Cadby, Gemma; Chittani, Martina; Coggeshall, Scott; Corre, Tanguy; Direk, Nese; Eriksson, Joel; Fischer, Krista; Gorski, Mathias; Neergaard Harder, Marie; Horikoshi, Momoko; Huang, Tao; Huffman, Jennifer E; Jackson, Anne U; Justesen, Johanne Marie; Kanoni, Stavroula; Kinnunen, Leena; Kleber, Marcus E; Komulainen, Pirjo; Kumari, Meena; Lim, Unhee; Luan, Jian'an; Lyytikäinen, Leo-Pekka; Mangino, Massimo; Manichaikul, Ani; Marten, Jonathan; Middelberg, Rita P S; Müller-Nurasyid, Martina; Navarro, Pau; Pérusse, Louis; Pervjakova, Natalia; Sarti, Cinzia; Smith, Albert Vernon; Smith, Jennifer A; Stančáková, Alena; Strawbridge, Rona J; Stringham, Heather M; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van der Most, Peter J; Van Vliet-Ostaptchouk, Jana V; Vedantam, Sailaja L; Verweij, Niek; Vink, Jacqueline M; Vitart, Veronique; Wu, Ying; Yengo, Loic; Zhang, Weihua; Hua Zhao, Jing; Zimmermann, Martina E; Zubair, Niha; Abecasis, Gonçalo R; Adair, Linda S; Afaq, Saima; Afzal, Uzma; Bakker, Stephan J L; Bartz, Traci M; Beilby, John; Bergman, Richard N; Bergmann, Sven; Biffar, Reiner; Blangero, John; Boerwinkle, Eric; Bonnycastle, Lori L; Bottinger, Erwin; Braga, Daniele; Buckley, Brendan M; Buyske, Steve; Campbell, Harry; Chambers, John C; Collins, Francis S; Curran, Joanne E; de Borst, Gert J; de Craen, Anton J M; de Geus, Eco J C; Dedoussis, George; Delgado, Graciela E; den Ruijter, Hester M; Eiriksdottir, Gudny; Eriksson, Anna L; Esko, Tõnu; Faul, Jessica D; Ford, Ian; Forrester, Terrence; Gertow, Karl; Gigante, Bruna; Glorioso, Nicola; Gong, Jian; Grallert, Harald; Grammer, Tanja B; Grarup, Niels; Haitjema, Saskia; Hallmans, Göran; Hamsten, Anders; Hansen, Torben; Harris, Tamara B; Hartman, Catharina A; Hassinen, Maija; Hastie, Nicholas D; Heath, Andrew C; Hernandez, Dena; Hindorff, Lucia; Hocking, Lynne J; Hollensted, Mette; Holmen, Oddgeir L; Homuth, Georg; Jan Hottenga, Jouke; Huang, Jie; Hung, Joseph; Hutri-Kähönen, Nina; Ingelsson, Erik; James, Alan L; Jansson, John-Olov; Jarvelin, Marjo-Riitta; Jhun, Min A; Jørgensen, Marit E; Juonala, Markus; Kähönen, Mika; Karlsson, Magnus; Koistinen, Heikki A; Kolcic, Ivana; Kolovou, Genovefa; Kooperberg, Charles; Krämer, Bernhard K; Kuusisto, Johanna; Kvaløy, Kirsti; Lakka, Timo A; Langenberg, Claudia; Launer, Lenore J; Leander, Karin; Lee, Nanette R; Lind, Lars; Lindgren, Cecilia M; Linneberg, Allan; Lobbens, Stephane; Loh, Marie; Lorentzon, Mattias; Luben, Robert; Lubke, Gitta; Ludolph-Donislawski, Anja; Lupoli, Sara; Madden, Pamela A F; Männikkö, Reija; Marques-Vidal, Pedro; Martin, Nicholas G; McKenzie, Colin A; McKnight, Barbara; Mellström, Dan; Menni, Cristina; Montgomery, Grant W; Musk, Aw Bill; Narisu, Narisu; Nauck, Matthias; Nolte, Ilja M; Oldehinkel, Albertine J; Olden, Matthias; Ong, Ken K; Padmanabhan, Sandosh; Peyser, Patricia A; Pisinger, Charlotta; Porteous, David J; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rasmussen-Torvik, Laura J; Rawal, Rajesh; Rice, Treva; Ridker, Paul M; Rose, Lynda M; Bien, Stephanie A; Rudan, Igor; Sanna, Serena; Sarzynski, Mark A; Sattar, Naveed; Savonen, Kai; Schlessinger, David; Scholtens, Salome; Schurmann, Claudia; Scott, Robert A; Sennblad, Bengt; Siemelink, Marten A; Silbernagel, Günther; Slagboom, P Eline; Snieder, Harold; Staessen, Jan A; Stott, David J; Swertz, Morris A; Swift, Amy J; Taylor, Kent D; Tayo, Bamidele O; Thorand, Barbara; Thuillier, Dorothee; Tuomilehto, Jaakko; Uitterlinden, Andre G; Vandenput, Liesbeth; Vohl, Marie-Claude; Völzke, Henry; Vonk, Judith M; Waeber, Gérard; Waldenberger, Melanie; Westendorp, R G J; Wild, Sarah; Willemsen, Gonneke; Wolffenbuttel, Bruce H R; Wong, Andrew; Wright, Alan F; Zhao, Wei; Zillikens, M Carola; Baldassarre, Damiano; Balkau, Beverley; Bandinelli, Stefania; Böger, Carsten A; Boomsma, Dorret I; Bouchard, Claude; Bruinenberg, Marcel; Chasman, Daniel I; Chen, Yii-DerIda; Chines, Peter S; Cooper, Richard S; Cucca, Francesco; Cusi, Daniele; Faire, Ulf de; Ferrucci, Luigi; Franks, Paul W; Froguel, Philippe; Gordon-Larsen, Penny; Grabe, Hans-Jörgen; Gudnason, Vilmundur; Haiman, Christopher A; Hayward, Caroline; Hveem, Kristian; Johnson, Andrew D; Wouter Jukema, J; Kardia, Sharon L R; Kivimaki, Mika; Kooner, Jaspal S; Kuh, Diana; Laakso, Markku; Lehtimäki, Terho; Marchand, Loic Le; März, Winfried; McCarthy, Mark I; Metspalu, Andres; Morris, Andrew P; Ohlsson, Claes; Palmer, Lyle J; Pasterkamp, Gerard; Pedersen, Oluf; Peters, Annette; Peters, Ulrike; Polasek, Ozren; Psaty, Bruce M; Qi, Lu; Rauramaa, Rainer; Smith, Blair H; Sørensen, Thorkild I A; Strauch, Konstantin; Tiemeier, Henning; Tremoli, Elena; van der Harst, Pim; Vestergaard, Henrik; Vollenweider, Peter; Wareham, Nicholas J; Weir, David R; Whitfield, John B; Wilson, James F; Tyrrell, Jessica; Frayling, Timothy M; Barroso, Inês; Boehnke, Michael; Deloukas, Panagiotis; Fox, Caroline S; Hirschhorn, Joel N; Hunter, David J; Spector, Tim D; Strachan, David P; van Duijn, Cornelia M; Heid, Iris M; Mohlke, Karen L; Marchini, Jonathan; Loos, Ruth J F; Kilpeläinen, Tuomas O; Liu, Ching-Ti; Borecki, Ingrid B; North, Kari E; Cupples, L Adrienne

2017-04-26

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

NARCIS (Netherlands)

S.I. Berndt (Sonja); S. Gustafsson (Stefan); R. Mägi (Reedik); A. Ganna (Andrea); E. Wheeler (Eleanor); M.F. Feitosa (Mary Furlan); A.E. Justice (Anne); K.L. Monda (Keri); D.C. Croteau-Chonka (Damien); F.R. Day (Felix); T. Esko (Tõnu); M. Fall (Magnus); T. Ferreira (Teresa); D. Gentilini (Davide); A.U. Jackson (Anne); J. Luan; J.C. Randall (Joshua); S. Vedantam (Sailaja); C.J. Willer (Cristen); T.W. Winkler (Thomas); A.R. Wood (Andrew); T. Workalemahu (Tsegaselassie); Y.-J. Hu (Yi-Juan); S.H. Lee (Sang Hong); L. Liang (Liming); D.Y. Lin (Dan); J. Min (Josine); B.M. Neale (Benjamin); G. Thorleifsson (Gudmar); J. Yang (Jian); E. Albrecht (Eva); N. Amin (Najaf); J.L. Bragg-Gresham (Jennifer L.); G. Cadby (Gemma); M. den Heijer (Martin); N. Eklund (Niina); K. Fischer (Krista); A. Goel (Anuj); J.J. Hottenga (Jouke Jan); J.E. Huffman (Jennifer); I. Jarick (Ivonne); A. Johansson (Åsa); T. Johnson (Toby); S. Kanoni (Stavroula); M.E. Kleber (Marcus); I.R. König (Inke); K. Kristiansson (Kati); Z. Kutalik (Zoltán); C. Lamina (Claudia); C. Lecoeur (Cécile); G. Li (Guo); M. Mangino (Massimo); W.L. McArdle (Wendy); M.C. Medina-Gomez (Carolina); M. Müller-Nurasyid (Martina); J.S. Ngwa; I.M. Nolte (Ilja); L. Paternoster (Lavinia); S. Pechlivanis (Sonali); M. Perola (Markus); M.J. Peters (Marjolein); M. Preuss (Michael); L.M. Rose (Lynda); J. Shi (Jianxin); D. Shungin (Dmitry); G.D. Smith; R.J. Strawbridge (Rona); I. Surakka (Ida); A. Teumer (Alexander); M.D. Trip (Mieke); J.P. Tyrer (Jonathan); J.V. van Vliet-Ostaptchouk (Jana); L. Vandenput (Liesbeth); L. Waite (Lindsay); J.H. Zhao (Jing Hua); D. Absher (Devin); F.W. Asselbergs (Folkert); M. Atalay (Mustafa); A.P. Attwood (Antony); A.J. Balmforth (Anthony); D.C.G. Basart (Dick); J.P. Beilby (John); L.L. Bonnycastle (Lori); P. Brambilla (Paolo); M. Bruinenberg (M.); H. Campbell (Harry); D.I. Chasman (Daniel); P.S. Chines (Peter); F.S. Collins (Francis); J. Connell (John); W. O Cookson (William); U. de Faire (Ulf); F. de Vegt (Femmie); M. Dei (Mariano); M. Dimitriou (Maria); T. Edkins (Ted); K. Estrada Gil (Karol); D.M. Evans (David); M. Farrall (Martin); F. Ferrario (Franco); J. Ferrières (Jean); L. Franke (Lude); F. Frau (Francesca); P.V. Gejman (Pablo); H. Grallert (Harald); H. Grönberg (Henrik); V. Gudnason (Vilmundur); A. Hall (Anne); A.S. Hall (Alistair); A.L. Hartikainen; C. Hayward (Caroline); N.L. Heard-Costa (Nancy); A.C. Heath (Andrew); J. Hebebrand (Johannes); G. Homuth (Georg); F.B. Hu (Frank); S.E. Hunt (Sarah); E. Hyppönen (Elina); C. Iribarren (Carlos); K.B. Jacobs (Kevin); J.-O. Jansson (John-Olov); A. Jula (Antti); M. Kähönen (Mika); S. Kathiresan (Sekar); F. Kee (F.); K-T. Khaw (Kay-Tee); M. Kivimaki (Mika); W. Koenig (Wolfgang); A. Kraja (Aldi); M. Kumari (Meena); K. Kuulasmaa (Kari); J. Kuusisto (Johanna); J. Laitinen (Jaana); T.A. Lakka (Timo); C. Langenberg (Claudia); L.J. Launer (Lenore); L. Lind (Lars); J. Lindstrom (Jaana); J. Liu (Jianjun); A. Liuzzi (Antonio); M.L. Lokki; M. Lorentzon (Mattias); P.A. Madden (Pamela); P.K. Magnusson (Patrik); P. Manunta (Paolo); D. Marek (Diana); W. März (Winfried); I.M. Leach (Irene Mateo); B. McKnight (Barbara); S.E. Medland (Sarah Elizabeth); E. Mihailov (Evelin); L. Milani (Lili); G.W. Montgomery (Grant); V. Mooser (Vincent); T.W. Mühleisen (Thomas); P. Munroe (Patricia); A.W. Musk (Arthur); N. Narisu (Narisu); G. Navis (Gerjan); G. Nicholson (Ggeorge); C. Nohr (Christian); K. Ong (Ken); B.A. Oostra (Ben); C.N.A. Palmer (Colin); A. Palotie (Aarno); J. Peden (John); N. Pedersen; A. Peters (Annette); O. Polasek (Ozren); A. Pouta (Anneli); P.P. Pramstaller (Peter Paul); I. Prokopenko (Inga); C. Pütter (Carolin); A. Radhakrishnan (Aparna); O. Raitakari (Olli); A. Rendon (Augusto); F. Rivadeneira Ramirez (Fernando); I. Rudan (Igor); T. Saaristo (Timo); J.G. Sambrook (Jennifer); A.R. Sanders (Alan); S. Sanna (Serena); J. Saramies (Jouko); S. Schipf (Sabine); S. Schreiber (Stefan); H. Schunkert (Heribert); S.-Y. Shin; S. Signorini (Stefano); J. Sinisalo (Juha); B. Skrobek (Boris); N. Soranzo (Nicole); A. Stancáková (Alena); K. Stark (Klaus); J. Stephens (Jonathan); K. Stirrups (Kathy); R.P. Stolk (Ronald); M. Stumvoll (Michael); A.J. Swift (Amy); E.V. Theodoraki (Eirini); B. Thorand (Barbara); D.-A. Tregouet (David-Alexandre); E. Tremoli (Elena); M.M. van der Klauw (Melanie); J.B.J. van Meurs (Joyce); S.H.H.M. Vermeulen (Sita); J. Viikari (Jorma); J. Virtamo (Jarmo); V. Vitart (Veronique); G. Waeber (Gérard); Z. Wang (Zhaoming); E. Widen (Elisabeth); S.H. Wild (Sarah); G.A.H.M. Willemsen (Gonneke); B. Winkelmann; J.C.M. Witteman (Jacqueline); B.H.R. Wolffenbuttel (Bruce); A. Wong (Andrew); A.F. Wright (Alan); M.C. Zillikens (Carola); P. Amouyel (Philippe); B.O. Boehm (Bernhard); E.A. Boerwinkle (Eric); D.I. Boomsma (Dorret); M. Caulfield (Mark); S.J. Chanock (Stephen); L.A. Cupples (Adrienne); D. Cusi (Daniele); G.V. Dedoussis (George); J. Erdmann (Jeanette); J.G. Eriksson (Johan); P.W. Franks (Paul); P. Froguel (Philippe); C. Gieger (Christian); U. Gyllensten (Ulf); A. Hamsten (Anders); T.B. Harris (Tamara); C. Hengstenberg (Christian); A.A. Hicks (Andrew); A. Hingorani (Aroon); A. Hinney (Anke); A. Hofman (Albert); G.K. Hovingh (Kees); K. Hveem (Kristian); T. Illig (Thomas); M.-R. Jarvelin (Marjo-Riitta); K.-H. Jöckel (Karl-Heinz); S. Keinanen-Kiukaanniemi (Sirkka); L.A.L.M. Kiemeney (Bart); D. Kuh (Diana); M. Laakso (Markku); T. Lehtimäki (Terho); D.F. Levinson (Douglas); N.G. Martin (Nicholas); A. Metspalu (Andres); A.D. Morris (Andrew); M.S. Nieminen (Markku); I. Njølstad (Inger); C. Ohlsson (Claes); A.J. Oldehinkel (Albertine); W.H. Ouwehand (Willem); C. Palmer (Cameron); B.W.J.H. Penninx (Brenda); C. Power (Christopher); M.A. Province (Mike); B.M. Psaty (Bruce); L. Qi (Lu); R. Rauramaa (Rainer); P.M. Ridker (Paul); S. Ripatti (Samuli); V. Salomaa (Veikko); N.J. Samani (Nilesh); H. Snieder (Harold); H.G. Sorensen; T.D. Spector (Timothy); J-A. Zwart (John-Anker); A. Tönjes (Anke); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); M. Uusitupa (Matti); P. van der Harst (Pim); P. Vollenweider (Peter); H. Wallaschofski (Henri); N.J. Wareham (Nick); H. Watkins (Hugh); H.E. Wichmann (Heinz Erich); J.F. Wilson (James F); G.R. Abecasis (Gonçalo); T.L. Assimes (Themistocles); I.E. Barroso (Inês); M. Boehnke (Michael); I.B. Borecki (Ingrid); P. Deloukas (Panagiotis); C. Fox (Craig); T.M. Frayling (Timothy); L. Groop (Leif); T. Haritunian (Talin); I.M. Heid (Iris); D. Hunter (David); R.C. Kaplan (Robert); F. Karpe (Fredrik); M.F. Moffatt (Miriam); K.L. Mohlke (Karen); J.R. O´Connell; Y. Pawitan (Yudi); E.E. Schadt (Eric); D. Schlessinger (David); V. Steinthorsdottir (Valgerdur); D.P. Strachan (David); U. Thorsteinsdottir (Unnur); C.M. van Duijn (Cornelia); P.M. Visscher (Peter); A.M. Di Blasio (Anna Maria); J.N. Hirschhorn (Joel); C.M. Lindgren (Cecilia); A.D. Morris (Andrew); D. Meyre (David); A. Scherag (Andre); M.I. McCarthy (Mark); E.K. Speliotes (Elizabeth); K.E. North (Kari); R.J.F. Loos (Ruth); E. Ingelsson (Erik)

2013-01-01

textabstractApproaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of

Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

NARCIS (Netherlands)

Webb, Thomas R; Erdmann, Jeanette; Stirrups, Kathleen E; Stitziel, Nathan O; Masca, Nicholas G D; Jansen, Henning; Kanoni, Stavroula; Nelson, Christopher P; Ferrario, Paola G; König, Inke R; Eicher, John D; Johnson, Andrew D; Hamby, Stephen E; Betsholtz, Christer; Ruusalepp, Arno; Franzén, Oscar; Schadt, Eric E; Björkegren, Johan L M; Weeke, Peter E; Auer, Paul L; Schick, Ursula M; Lu, Yingchang; Zhang, He; Dube, Marie-Pierre; Goel, Anuj; Farrall, Martin; Peloso, Gina M; Won, Hong-Hee; Do, Ron; van Iperen, Erik; Kruppa, Jochen; Mahajan, Anubha; Scott, Robert A; Willenborg, Christina; Braund, Peter S; van Capelleveen, Julian C; Doney, Alex S F; Donnelly, Louise A; Asselta, Rosanna; Merlini, Pier A; Duga, Stefano; Marziliano, Nicola; Denny, Josh C; Shaffer, Christian; El-Mokhtari, Nour Eddine; Franke, Andre; Heilmann, Stefanie; Hengstenberg, Christian; Hoffmann, Per; Holmen, Oddgeir L; Hveem, Kristian; Jansson, Jan-Håkan; Jöckel, Karl-Heinz; Kessler, Thorsten; Kriebel, Jennifer; Laugwitz, Karl L; Marouli, Eirini; Martinelli, Nicola; McCarthy, Mark I; Van Zuydam, Natalie R; Meisinger, Christa; Esko, Tõnu; Mihailov, Evelin; Escher, Stefan A; Alver, Maris; Moebus, Susanne; Morris, Andrew D; Virtamo, Jarma; Nikpay, Majid; Olivieri, Oliviero; Provost, Sylvie; AlQarawi, Alaa; Robertson, Neil R; Akinsansya, Karen O; Reilly, Dermot F; Vogt, Thomas F; Yin, Wu; Asselbergs, Folkert W; Kooperberg, Charles; Jackson, Rebecca D; Stahl, Eli; Müller-Nurasyid, Martina; Strauch, Konstantin; Varga, Tibor V; Waldenberger, Melanie; Zeng, Lingyao; Chowdhury, Rajiv; Salomaa, Veikko; Ford, Ian; Jukema, J Wouter; Amouyel, Philippe; Kontto, Jukka; Nordestgaard, Børge G; Ferrières, Jean; Saleheen, Danish; Sattar, Naveed; Surendran, Praveen; Wagner, Aline; Young, Robin; Howson, Joanna M M; Butterworth, Adam S; Danesh, John; Ardissino, Diego; Bottinger, Erwin P; Erbel, Raimund; Franks, Paul W; Girelli, Domenico; Hall, Alistair S; Hovingh, G Kees; Kastrati, Adnan; Lieb, Wolfgang; Meitinger, Thomas; Kraus, William E; Shah, Svati H; McPherson, Ruth; Orho-Melander, Marju; Melander, Olle; Metspalu, Andres; Palmer, Colin N A; Peters, Annette; Rader, Daniel J; Reilly, Muredach P; Loos, Ruth J F; Reiner, Alex P; Roden, Dan M; Tardif, Jean-Claude; Thompson, John R; Wareham, Nicholas J; Watkins, Hugh; Willer, Cristen J; Samani, Nilesh J; Schunkert, Heribert; Deloukas, Panos; Kathiresan, Sekar

2017-01-01

BACKGROUND: Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES: This study sought to systematically test if genetic variants

Genetic Susceptibility to Vitiligo: GWAS Approaches for Identifying Vitiligo Susceptibility Genes and Loci

Science.gov (United States)

Shen, Changbing; Gao, Jing; Sheng, Yujun; Dou, Jinfa; Zhou, Fusheng; Zheng, Xiaodong; Ko, Randy; Tang, Xianfa; Zhu, Caihong; Yin, Xianyong; Sun, Liangdan; Cui, Yong; Zhang, Xuejun

2016-01-01

Vitiligo is an autoimmune disease with a strong genetic component, characterized by areas of depigmented skin resulting from loss of epidermal melanocytes. Genetic factors are known to play key roles in vitiligo through discoveries in association studies and family studies. Previously, vitiligo susceptibility genes were mainly revealed through linkage analysis and candidate gene studies. Recently, our understanding of the genetic basis of vitiligo has been rapidly advancing through genome-wide association study (GWAS). More than 40 robust susceptible loci have been identified and confirmed to be associated with vitiligo by using GWAS. Most of these associated genes participate in important pathways involved in the pathogenesis of vitiligo. Many susceptible loci with unknown functions in the pathogenesis of vitiligo have also been identified, indicating that additional molecular mechanisms may contribute to the risk of developing vitiligo. In this review, we summarize the key loci that are of genome-wide significance, which have been shown to influence vitiligo risk. These genetic loci may help build the foundation for genetic diagnosis and personalize treatment for patients with vitiligo in the future. However, substantial additional studies, including gene-targeted and functional studies, are required to confirm the causality of the genetic variants and their biological relevance in the development of vitiligo. PMID:26870082

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

NARCIS (Netherlands)

Berndt, Sonja I; Gustafsson, Stefan; Mägi, Reedik; Ganna, Andrea; Wheeler, Eleanor; Feitosa, Mary F; Justice, Anne E; Monda, Keri L; Croteau-Chonka, Damien C; Day, Felix R; Esko, Tõnu; Fall, Tove; Ferreira, Teresa; Gentilini, Davide; Jackson, Anne U; Luan, Jian'an; Randall, Joshua C; Vedantam, Sailaja; Willer, Cristen J; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Hu, Yi-Juan; Lee, Sang Hong; Liang, Liming; Lin, Dan-Yu; Min, Josine L; Neale, Benjamin M; Thorleifsson, Gudmar; Yang, Jian; Albrecht, Eva; Amin, Najaf; Bragg-Gresham, Jennifer L; Cadby, Gemma; den Heijer, Martin; Eklund, Niina; Fischer, Krista; Goel, Anuj; Hottenga, Jouke-Jan; Huffman, Jennifer E; Jarick, Ivonne; Johansson, Åsa; Johnson, Toby; Kanoni, Stavroula; Kleber, Marcus E; König, Inke R; Kristiansson, Kati; Kutalik, Zoltán; Lamina, Claudia; Lecoeur, Cecile; Li, Guo; Mangino, Massimo; McArdle, Wendy L; Medina-Gomez, Carolina; Müller-Nurasyid, Martina; Ngwa, Julius S; Nolte, Ilja M; Paternoster, Lavinia; Pechlivanis, Sonali; Perola, Markus; Peters, Marjolein J; Preuss, Michael; Rose, Lynda M; Shi, Jianxin; Shungin, Dmitry; Smith, Albert Vernon; Strawbridge, Rona J; Surakka, Ida; Teumer, Alexander; Trip, Mieke D; Tyrer, Jonathan; Van Vliet-Ostaptchouk, Jana V; Vandenput, Liesbeth; Waite, Lindsay L; Zhao, Jing Hua; Absher, Devin; Asselbergs, Folkert W; Atalay, Mustafa; Attwood, Antony P; Balmforth, Anthony J; Basart, Hanneke; Beilby, John; Bonnycastle, Lori L; Brambilla, Paolo; Bruinenberg, Marcel; Campbell, Harry; Chasman, Daniel I; Chines, Peter S; Collins, Francis S; Connell, John M; Cookson, William O; de Faire, Ulf; de Vegt, Femmie; Dei, Mariano; Dimitriou, Maria; Edkins, Sarah; Estrada, Karol; Evans, David M; Farrall, Martin; Ferrario, Marco M; Ferrières, Jean; Franke, Lude; Frau, Francesca; Gejman, Pablo V; Grallert, Harald; Grönberg, Henrik; Gudnason, Vilmundur; Hall, Alistair S; Hall, Per; Hartikainen, Anna-Liisa; Hayward, Caroline; Heard-Costa, Nancy L; Heath, Andrew C; Hebebrand, Johannes; Homuth, Georg; Hu, Frank B; Hunt, Sarah E; Hyppönen, Elina; Iribarren, Carlos; Jacobs, Kevin B; Jansson, John-Olov; Jula, Antti; Kähönen, Mika; Kathiresan, Sekar; Kee, Frank; Khaw, Kay-Tee; Kivimäki, Mika; Koenig, Wolfgang; Kraja, Aldi T; Kumari, Meena; Kuulasmaa, Kari; Kuusisto, Johanna; Laitinen, Jaana H; Lakka, Timo A; Langenberg, Claudia; Launer, Lenore J; Lind, Lars; Lindström, Jaana; Liu, Jianjun; Liuzzi, Antonio; Lokki, Marja-Liisa; Lorentzon, Mattias; Madden, Pamela A; Magnusson, Patrik K; Manunta, Paolo; Marek, Diana; März, Winfried; Mateo Leach, Irene; McKnight, Barbara; Medland, Sarah E; Mihailov, Evelin; Milani, Lili; Montgomery, Grant W; Mooser, Vincent; Mühleisen, Thomas W; Munroe, Patricia B; Musk, Arthur W; Narisu, Narisu; Navis, Gerjan; Nicholson, George; Nohr, Ellen A; Ong, Ken K; Oostra, Ben A; Palmer, Colin N A; Palotie, Aarno; Peden, John F; Pedersen, Nancy; Peters, Annette; Polasek, Ozren; Pouta, Anneli; Pramstaller, Peter P; Prokopenko, Inga; Pütter, Carolin; Radhakrishnan, Aparna; Raitakari, Olli; Rendon, Augusto; Rivadeneira, Fernando; Rudan, Igor; Saaristo, Timo E; Sambrook, Jennifer G; Sanders, Alan R; Sanna, Serena; Saramies, Jouko; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Shin, So-Youn; Signorini, Stefano; Sinisalo, Juha; Skrobek, Boris; Soranzo, Nicole; Stančáková, Alena; Stark, Klaus; Stephens, Jonathan C; Stirrups, Kathleen; Stolk, Ronald P; Stumvoll, Michael; Swift, Amy J; Theodoraki, Eirini V; Thorand, Barbara; Tregouet, David-Alexandre; Tremoli, Elena; Van der Klauw, Melanie M; van Meurs, Joyce B J; Vermeulen, Sita H; Viikari, Jorma; Virtamo, Jarmo; Vitart, Veronique; Waeber, Gérard; Wang, Zhaoming; Widén, Elisabeth; Wild, Sarah H; Willemsen, Gonneke; Winkelmann, Bernhard R; Witteman, Jacqueline C M; Wolffenbuttel, Bruce H R; Wong, Andrew; Wright, Alan F; Zillikens, M Carola; Amouyel, Philippe; Boehm, Bernhard O; Boerwinkle, Eric; Boomsma, Dorret I; Caulfield, Mark J; Chanock, Stephen J; Cupples, L Adrienne; Cusi, Daniele; Dedoussis, George V; Erdmann, Jeanette; Eriksson, Johan G; Franks, Paul W; Froguel, Philippe; Gieger, Christian; Gyllensten, Ulf; Hamsten, Anders; Harris, Tamara B; Hengstenberg, Christian; Hicks, Andrew A; Hingorani, Aroon; Hinney, Anke; Hofman, Albert; Hovingh, Kees G; Hveem, Kristian; Illig, Thomas; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Keinanen-Kiukaanniemi, Sirkka M; Kiemeney, Lambertus A; Kuh, Diana; Laakso, Markku; Lehtimäki, Terho; Levinson, Douglas F; Martin, Nicholas G; Metspalu, Andres; Morris, Andrew D; Nieminen, Markku S; Njølstad, Inger; Ohlsson, Claes; Oldehinkel, Albertine J; Ouwehand, Willem H; Palmer, Lyle J; Penninx, Brenda; Power, Chris; Province, Michael A; Psaty, Bruce M; Qi, Lu; Rauramaa, Rainer; Ridker, Paul M; Ripatti, Samuli; Salomaa, Veikko; Samani, Nilesh J; Snieder, Harold; Sørensen, Thorkild I A; Spector, Timothy D; Stefansson, Kari; Tönjes, Anke; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; van der Harst, Pim; Vollenweider, Peter; Wallaschofski, Henri; Wareham, Nicholas J; Watkins, Hugh; Wichmann, H-Erich; Wilson, James F; Abecasis, Goncalo R; Assimes, Themistocles L; Barroso, Inês; Boehnke, Michael; Borecki, Ingrid B; Deloukas, Panos; Fox, Caroline S; Frayling, Timothy; Groop, Leif C; Haritunian, Talin; Heid, Iris M; Hunter, David; Kaplan, Robert C; Karpe, Fredrik; Moffatt, Miriam F; Mohlke, Karen L; O'Connell, Jeffrey R; Pawitan, Yudi; Schadt, Eric E; Schlessinger, David; Steinthorsdottir, Valgerdur; Strachan, David P; Thorsteinsdottir, Unnur; van Duijn, Cornelia M; Visscher, Peter M; Di Blasio, Anna Maria; Hirschhorn, Joel N; Lindgren, Cecilia M; Morris, Andrew P; Meyre, David; Scherag, André; McCarthy, Mark I; Speliotes, Elizabeth K; North, Kari E; Loos, Ruth J F; Ingelsson, Erik

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

NARCIS (Netherlands)

Berndt, Sonja I.; Gustafsson, Stefan; Mägi, Reedik; Ganna, Andrea; Wheeler, Eleanor; Feitosa, Mary F.; Justice, Anne E.; Monda, Keri L.; Croteau-Chonka, Damien C.; Day, Felix R.; Esko, Tõnu; Fall, Tove; Ferreira, Teresa; Gentilini, Davide; Jackson, Anne U.; Luan, Jian'an; Randall, Joshua C.; Vedantam, Sailaja; Willer, Cristen J.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Hu, Yi-Juan; Lee, Sang Hong; Liang, Liming; Lin, Dan-Yu; Min, Josine L.; Neale, Benjamin M.; Thorleifsson, Gudmar; Yang, Jian; Albrecht, Eva; Amin, Najaf; Bragg-Gresham, Jennifer L.; Cadby, Gemma; den Heijer, Martin; Eklund, Niina; Fischer, Krista; Goel, Anuj; Hottenga, Jouke-Jan; Huffman, Jennifer E.; Jarick, Ivonne; Johansson, Asa; Johnson, Toby; Kanoni, Stavroula; Kleber, Marcus E.; König, Inke R.; Kristiansson, Kati; Kutalik, Zoltán; Lamina, Claudia; Lecoeur, Cecile; Li, Guo; Mangino, Massimo; McArdle, Wendy L.; Medina-Gomez, Carolina; Müller-Nurasyid, Martina; Ngwa, Julius S.; Nolte, Ilja M.; Paternoster, Lavinia; Pechlivanis, Sonali; Perola, Markus; Peters, Marjolein J.; Preuss, Michael; Rose, Lynda M.; Shi, Jianxin; Shungin, Dmitry; Smith, Albert Vernon; Strawbridge, Rona J.; Surakka, Ida; Teumer, Alexander; Trip, Mieke D.; Tyrer, Jonathan; van Vliet-Ostaptchouk, Jana V.; Vandenput, Liesbeth; Waite, Lindsay L.; Zhao, Jing Hua; Absher, Devin; Asselbergs, Folkert W.; Atalay, Mustafa; Attwood, Antony P.; Balmforth, Anthony J.; Basart, Hanneke; Beilby, John; Bonnycastle, Lori L.; Brambilla, Paolo; Bruinenberg, Marcel; Campbell, Harry; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Connell, John M.; Cookson, William O.; de Faire, Ulf; de Vegt, Femmie; dei, Mariano; Dimitriou, Maria; Edkins, Sarah; Estrada, Karol; Evans, David M.; Farrall, Martin; Ferrario, Marco M.; Ferrières, Jean; Franke, Lude; Frau, Francesca; Gejman, Pablo V.; Grallert, Harald; Grönberg, Henrik; Gudnason, Vilmundur; Hall, Alistair S.; Hall, Per; Hartikainen, Anna-Liisa; Hayward, Caroline; Heard-Costa, Nancy L.; Heath, Andrew C.; Hebebrand, Johannes; Homuth, Georg; Hu, Frank B.; Hunt, Sarah E.; Hyppönen, Elina; Iribarren, Carlos; Jacobs, Kevin B.; Jansson, John-Olov; Jula, Antti; Kähönen, Mika; Kathiresan, Sekar; Kee, Frank; Khaw, Kay-Tee; Kivimäki, Mika; Koenig, Wolfgang; Kraja, Aldi T.; Kumari, Meena; Kuulasmaa, Kari; Kuusisto, Johanna; Laitinen, Jaana H.; Lakka, Timo A.; Langenberg, Claudia; Launer, Lenore J.; Lind, Lars; Lindström, Jaana; Liu, Jianjun; Liuzzi, Antonio; Lokki, Marja-Liisa; Lorentzon, Mattias; Madden, Pamela A.; Magnusson, Patrik K.; Manunta, Paolo; Marek, Diana; März, Winfried; Mateo Leach, Irene; McKnight, Barbara; Medland, Sarah E.; Mihailov, Evelin; Milani, Lili; Montgomery, Grant W.; Mooser, Vincent; Mühleisen, Thomas W.; Munroe, Patricia B.; Musk, Arthur W.; Narisu, Narisu; Navis, Gerjan; Nicholson, George; Nohr, Ellen A.; Ong, Ken K.; Oostra, Ben A.; Palmer, Colin N. A.; Palotie, Aarno; Peden, John F.; Pedersen, Nancy; Peters, Annette; Polasek, Ozren; Pouta, Anneli; Pramstaller, Peter P.; Prokopenko, Inga; Pütter, Carolin; Radhakrishnan, Aparna; Raitakari, Olli; Rendon, Augusto; Rivadeneira, Fernando; Rudan, Igor; Saaristo, Timo E.; Sambrook, Jennifer G.; Sanders, Alan R.; Sanna, Serena; Saramies, Jouko; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Shin, So-Youn; Signorini, Stefano; Sinisalo, Juha; Skrobek, Boris; Soranzo, Nicole; Stančáková, Alena; Stark, Klaus; Stephens, Jonathan C.; Stirrups, Kathleen; Stolk, Ronald P.; Stumvoll, Michael; Swift, Amy J.; Theodoraki, Eirini V.; Thorand, Barbara; Tregouet, David-Alexandre; Tremoli, Elena; van der Klauw, Melanie M.; van Meurs, Joyce B. J.; Vermeulen, Sita H.; Viikari, Jorma; Virtamo, Jarmo; Vitart, Veronique; Waeber, Gérard; Wang, Zhaoming; Widén, Elisabeth; Wild, Sarah H.; Willemsen, Gonneke; Winkelmann, Bernhard R.; Witteman, Jacqueline C. M.; Wolffenbuttel, Bruce H. R.; Wong, Andrew; Wright, Alan F.; Zillikens, M. Carola; Amouyel, Philippe; Boehm, Bernhard O.; Boerwinkle, Eric; Boomsma, Dorret I.; Caulfield, Mark J.; Chanock, Stephen J.; Cupples, L. Adrienne; Cusi, Daniele; Dedoussis, George V.; Erdmann, Jeanette; Eriksson, Johan G.; Franks, Paul W.; Froguel, Philippe; Gieger, Christian; Gyllensten, Ulf; Hamsten, Anders; Harris, Tamara B.; Hengstenberg, Christian; Hicks, Andrew A.; Hingorani, Aroon; Hinney, Anke; Hofman, Albert; Hovingh, Kees G.; Hveem, Kristian; Illig, Thomas; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Kuh, Diana; Laakso, Markku; Lehtimäki, Terho; Levinson, Douglas F.; Martin, Nicholas G.; Metspalu, Andres; Morris, Andrew D.; Nieminen, Markku S.; Njølstad, Inger; Ohlsson, Claes; Oldehinkel, Albertine J.; Ouwehand, Willem H.; Palmer, Lyle J.; Penninx, Brenda; Power, Chris; Province, Michael A.; Psaty, Bruce M.; Qi, Lu; Rauramaa, Rainer; Ridker, Paul M.; Ripatti, Samuli; Salomaa, Veikko; Samani, Nilesh J.; Snieder, Harold; Sørensen, Thorkild I. A.; Spector, Timothy D.; Stefansson, Kari; Tönjes, Anke; Tuomilehto, Jaakko; Uitterlinden, André G.; Uusitupa, Matti; van der Harst, Pim; Vollenweider, Peter; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Wichmann, H.-Erich; Wilson, James F.; Abecasis, Goncalo R.; Assimes, Themistocles L.; Barroso, Inês; Boehnke, Michael; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Frayling, Timothy; Groop, Leif C.; Haritunian, Talin; Heid, Iris M.; Hunter, David; Kaplan, Robert C.; Karpe, Fredrik; Moffatt, Miriam F.; Mohlke, Karen L.; O'Connell, Jeffrey R.; Pawitan, Yudi; Schadt, Eric E.; Schlessinger, David; Steinthorsdottir, Valgerdur; Strachan, David P.; Thorsteinsdottir, Unnur; van Duijn, Cornelia M.; Visscher, Peter M.; Di Blasio, Anna Maria; Hirschhorn, Joel N.; Lindgren, Cecilia M.; Morris, Andrew P.; Meyre, David; Scherag, André; McCarthy, Mark I.; Speliotes, Elizabeth K.; North, Kari E.; Loos, Ruth J. F.; Ingelsson, Erik

2013-01-01

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

DEFF Research Database (Denmark)

Berndt, Sonja I; Gustafsson, Stefan; Mägi, Reedik

2013-01-01

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass ...

Genome-wide association analysis identifies three new breast cancer susceptibility loci

DEFF Research Database (Denmark)

Ghoussaini, Maya; Fletcher, Olivia; Michailidou, Kyriaki

2012-01-01

Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS...

High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis

NARCIS (Netherlands)

Eyre, Steve; Bowes, John; Diogo, Dorothee; Lee, Annette; Barton, Anne; Martin, Paul; Zhernakova, Alexandra; Stahl, Eli; Viatte, Sebastien; McAllister, Kate; Amos, Christopher I.; Padyukov, Leonid; Toes, Rene E. M.; Huizinga, Tom W. J.; Wijmenga, Cisca; Trynka, Gosia; Franke, Lude; Westra, Harm-Jan; Alfredsson, Lars; Hu, Xinli; Sandor, Cynthia; de Bakker, Paul I. W.; Davila, Sonia; Khor, Chiea Chuen; Heng, Khai Koon; Andrews, Robert; Edkins, Sarah; Hunt, Sarah E.; Langford, Cordelia; Symmons, Deborah; Concannon, Pat; Onengut-Gumuscu, Suna; Rich, Stephen S.; Deloukas, Panos; Gonzalez-Gay, Miguel A.; Rodriguez-Rodriguez, Luis; Arlsetig, Lisbeth; Martin, Javier; Rantapaa-Dahlqvist, Solbritt; Plenge, Robert M.; Raychaudhuri, Soumya; Klareskog, Lars; Gregersen, Peter K.; Worthington, Jane

2012-01-01

Using the Immunochip custom SNP array, which was designed for dense genotyping of 186 loci identified through genome-wide association studies (GWAS), we analyzed 11,475 individuals with rheumatoid arthritis (cases) of European ancestry and 15,870 controls for 129,464 markers. We combined these data

New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals

DEFF Research Database (Denmark)

Kraja, Aldi T.; Cook, James P.; Warren, Helen R.

2017-01-01

Background - Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data...

Nine Loci for Ocular Axial Length Identified through Genome-wide Association Studies, Including Shared Loci with Refractive Error

Science.gov (United States)

Cheng, Ching-Yu; Schache, Maria; Ikram, M. Kamran; Young, Terri L.; Guggenheim, Jeremy A.; Vitart, Veronique; MacGregor, Stuart; Verhoeven, Virginie J.M.; Barathi, Veluchamy A.; Liao, Jiemin; Hysi, Pirro G.; Bailey-Wilson, Joan E.; St. Pourcain, Beate; Kemp, John P.; McMahon, George; Timpson, Nicholas J.; Evans, David M.; Montgomery, Grant W.; Mishra, Aniket; Wang, Ya Xing; Wang, Jie Jin; Rochtchina, Elena; Polasek, Ozren; Wright, Alan F.; Amin, Najaf; van Leeuwen, Elisabeth M.; Wilson, James F.; Pennell, Craig E.; van Duijn, Cornelia M.; de Jong, Paulus T.V.M.; Vingerling, Johannes R.; Zhou, Xin; Chen, Peng; Li, Ruoying; Tay, Wan-Ting; Zheng, Yingfeng; Chew, Merwyn; Rahi, Jugnoo S.; Hysi, Pirro G.; Yoshimura, Nagahisa; Yamashiro, Kenji; Miyake, Masahiro; Delcourt, Cécile; Maubaret, Cecilia; Williams, Cathy; Guggenheim, Jeremy A.; Northstone, Kate; Ring, Susan M.; Davey-Smith, George; Craig, Jamie E.; Burdon, Kathryn P.; Fogarty, Rhys D.; Iyengar, Sudha K.; Igo, Robert P.; Chew, Emily; Janmahasathian, Sarayut; Iyengar, Sudha K.; Igo, Robert P.; Chew, Emily; Janmahasathian, Sarayut; Stambolian, Dwight; Wilson, Joan E. Bailey; MacGregor, Stuart; Lu, Yi; Jonas, Jost B.; Xu, Liang; Saw, Seang-Mei; Baird, Paul N.; Rochtchina, Elena; Mitchell, Paul; Wang, Jie Jin; Jonas, Jost B.; Nangia, Vinay; Hayward, Caroline; Wright, Alan F.; Vitart, Veronique; Polasek, Ozren; Campbell, Harry; Vitart, Veronique; Rudan, Igor; Vatavuk, Zoran; Vitart, Veronique; Paterson, Andrew D.; Hosseini, S. Mohsen; Iyengar, Sudha K.; Igo, Robert P.; Fondran, Jeremy R.; Young, Terri L.; Feng, Sheng; Verhoeven, Virginie J.M.; Klaver, Caroline C.; van Duijn, Cornelia M.; Metspalu, Andres; Haller, Toomas; Mihailov, Evelin; Pärssinen, Olavi; Wedenoja, Juho; Wilson, Joan E. Bailey; Wojciechowski, Robert; Baird, Paul N.; Schache, Maria; Pfeiffer, Norbert; Höhn, René; Pang, Chi Pui; Chen, Peng; Meitinger, Thomas; Oexle, Konrad; Wegner, Aharon; Yoshimura, Nagahisa; Yamashiro, Kenji; Miyake, Masahiro; Pärssinen, Olavi; Yip, Shea Ping; Ho, Daniel W.H.; Pirastu, Mario; Murgia, Federico; Portas, Laura; Biino, Genevra; Wilson, James F.; Fleck, Brian; Vitart, Veronique; Stambolian, Dwight; Wilson, Joan E. Bailey; Hewitt, Alex W.; Ang, Wei; Verhoeven, Virginie J.M.; Klaver, Caroline C.; van Duijn, Cornelia M.; Saw, Seang-Mei; Wong, Tien-Yin; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Wong, Tien-Yin; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Wong, Tien-Yin; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Tai, E-Shyong; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Saw, Seang-Mei; Teo, Yik-Ying; Fan, Qiao; Cheng, Ching-Yu; Zhou, Xin; Ikram, M. Kamran; Mackey, David A.; MacGregor, Stuart; Hammond, Christopher J.; Hysi, Pirro G.; Deangelis, Margaret M.; Morrison, Margaux; Zhou, Xiangtian; Chen, Wei; Paterson, Andrew D.; Hosseini, S. Mohsen; Mizuki, Nobuhisa; Meguro, Akira; Lehtimäki, Terho; Mäkelä, Kari-Matti; Raitakari, Olli; Kähönen, Mika; Burdon, Kathryn P.; Craig, Jamie E.; Iyengar, Sudha K.; Igo, Robert P.; Lass, Jonathan H.; Reinhart, William; Belin, Michael W.; Schultze, Robert L.; Morason, Todd; Sugar, Alan; Mian, Shahzad; Soong, Hunson Kaz; Colby, Kathryn; Jurkunas, Ula; Yee, Richard; Vital, Mark; Alfonso, Eduardo; Karp, Carol; Lee, Yunhee; Yoo, Sonia; Hammersmith, Kristin; Cohen, Elisabeth; Laibson, Peter; Rapuano, Christopher; Ayres, Brandon; Croasdale, Christopher; Caudill, James; Patel, Sanjay; Baratz, Keith; Bourne, William; Maguire, Leo; Sugar, Joel; Tu, Elmer; Djalilian, Ali; Mootha, Vinod; McCulley, James; Bowman, Wayne; Cavanaugh, H. Dwight; Verity, Steven; Verdier, David; Renucci, Ann; Oliva, Matt; Rotkis, Walter; Hardten, David R.; Fahmy, Ahmad; Brown, Marlene; Reeves, Sherman; Davis, Elizabeth A.; Lindstrom, Richard; Hauswirth, Scott; Hamilton, Stephen; Lee, W. Barry; Price, Francis; Price, Marianne; Kelly, Kathleen; Peters, Faye; Shaughnessy, Michael; Steinemann, Thomas; Dupps, B.J.; Meisler, David M.; Mifflin, Mark; Olson, Randal; Aldave, Anthony; Holland, Gary; Mondino, Bartly J.; Rosenwasser, George; Gorovoy, Mark; Dunn, Steven P.; Heidemann, David G.; Terry, Mark; Shamie, Neda; Rosenfeld, Steven I.; Suedekum, Brandon; Hwang, David; Stone, Donald; Chodosh, James; Galentine, Paul G.; Bardenstein, David; Goddard, Katrina; Chin, Hemin; Mannis, Mark; Varma, Rohit; Borecki, Ingrid; Chew, Emily Y.; Haller, Toomas; Mihailov, Evelin; Metspalu, Andres; Wedenoja, Juho; Simpson, Claire L.; Wojciechowski, Robert; Höhn, René; Mirshahi, Alireza; Zeller, Tanja; Pfeiffer, Norbert; Lackner, Karl J.; Donnelly, Peter; Barroso, Ines; Blackwell, Jenefer M.; Bramon, Elvira; Brown, Matthew A.; Casas, Juan P.; Corvin, Aiden; Deloukas, Panos; Duncanson, Audrey; Jankowski, Janusz; Markus, Hugh S.; Mathew, Christopher G.; Palmer, Colin N.A.; Plomin, Robert; Rautanen, Anna; Sawcer, Stephen J.; Trembath, Richard C.; Viswanathan, Ananth C.; Wood, Nicholas W.; Spencer, Chris C.A.; Band, Gavin; Bellenguez, Céline; Freeman, Colin; Hellenthal, Garrett; Giannoulatou, Eleni; Pirinen, Matti; Pearson, Richard; Strange, Amy; Su, Zhan; Vukcevic, Damjan; Donnelly, Peter; Langford, Cordelia; Hunt, Sarah E.; Edkins, Sarah; Gwilliam, Rhian; Blackburn, Hannah; Bumpstead, Suzannah J.; Dronov, Serge; Gillman, Matthew; Gray, Emma; Hammond, Naomi; Jayakumar, Alagurevathi; McCann, Owen T.; Liddle, Jennifer; Potter, Simon C.; Ravindrarajah, Radhi; Ricketts, Michelle; Waller, Matthew; Weston, Paul; Widaa, Sara; Whittaker, Pamela; Barroso, Ines; Deloukas, Panos; Mathew, Christopher G.; Blackwell, Jenefer M.; Brown, Matthew A.; Corvin, Aiden; Spencer, Chris C.A.; Bettecken, Thomas; Meitinger, Thomas; Oexle, Konrad; Pirastu, Mario; Portas, Laura; Nag, Abhishek; Williams, Katie M.; Yonova-Doing, Ekaterina; Klein, Ronald; Klein, Barbara E.; Hosseini, S. Mohsen; Paterson, Andrew D.; Genuth, S.; Nathan, D.M.; Zinman, B.; Crofford, O.; Crandall, J.; Reid, M.; Brown-Friday, J.; Engel, S.; Sheindlin, J.; Martinez, H.; Shamoon, H.; Engel, H.; Phillips, M.; Gubitosi-Klug, R.; Mayer, L.; Pendegast, S.; Zegarra, H.; Miller, D.; Singerman, L.; Smith-Brewer, S.; Novak, M.; Quin, J.; Dahms, W.; Genuth, Saul; Palmert, M.; Brillon, D.; Lackaye, M.E.; Kiss, S.; Chan, R.; Reppucci, V.; Lee, T.; Heinemann, M.; Whitehouse, F.; Kruger, D.; Jones, J.K.; McLellan, M.; Carey, J.D.; Angus, E.; Thomas, A.; Galprin, A.; Bergenstal, R.; Johnson, M.; Spencer, M.; Morgan, K.; Etzwiler, D.; Kendall, D.; Aiello, Lloyd Paul; Golden, E.; Jacobson, A.; Beaser, R.; Ganda, O.; Hamdy, O.; Wolpert, H.; Sharuk, G.; Arrigg, P.; Schlossman, D.; Rosenzwieg, J.; Rand, L.; Nathan, D.M.; Larkin, M.; Ong, M.; Godine, J.; Cagliero, E.; Lou, P.; Folino, K.; Fritz, S.; Crowell, S.; Hansen, K.; Gauthier-Kelly, C.; Service, J.; Ziegler, G.; Luttrell, L.; Caulder, S.; Lopes-Virella, M.; Colwell, J.; Soule, J.; Fernandes, J.; Hermayer, K.; Kwon, S.; Brabham, M.; Blevins, A.; Parker, J.; Lee, D.; Patel, N.; Pittman, C.; Lindsey, P.; Bracey, M.; Lee, K.; Nutaitis, M.; Farr, A.; Elsing, S.; Thompson, T.; Selby, J.; Lyons, T.; Yacoub-Wasef, S.; Szpiech, M.; Wood, D.; Mayfield, R.; Molitch, M.; Schaefer, B.; Jampol, L.; Lyon, A.; Gill, M.; Strugula, Z.; Kaminski, L.; Mirza, R.; Simjanoski, E.; Ryan, D.; Kolterman, O.; Lorenzi, G.; Goldbaum, M.; Sivitz, W.; Bayless, M.; Counts, D.; Johnsonbaugh, S.; Hebdon, M.; Salemi, P.; Liss, R.; Donner, T.; Gordon, J.; Hemady, R.; Kowarski, A.; Ostrowski, D.; Steidl, S.; Jones, B.; Herman, W.H.; Martin, C.L.; Pop-Busui, R.; Sarma, A.; Albers, J.; Feldman, E.; Kim, K.; Elner, S.; Comer, G.; Gardner, T.; Hackel, R.; Prusak, R.; Goings, L.; Smith, A.; Gothrup, J.; Titus, P.; Lee, J.; Brandle, M.; Prosser, L.; Greene, D.A.; Stevens, M.J.; Vine, A.K.; Bantle, J.; Wimmergren, N.; Cochrane, A.; Olsen, T.; Steuer, E.; Rath, P.; Rogness, B.; Hainsworth, D.; Goldstein, D.; Hitt, S.; Giangiacomo, J.; Schade, D.S.; Canady, J.L.; Chapin, J.E.; Ketai, L.H.; Braunstein, C.S.; Bourne, P.A.; Schwartz, S.; Brucker, A.; Maschak-Carey, B.J.; Baker, L.; Orchard, T.; Silvers, N.; Ryan, C.; Songer, T.; Doft, B.; Olson, S.; Bergren, R.L.; Lobes, L.; Rath, P. Paczan; Becker, D.; Rubinstein, D.; Conrad, P.W.; Yalamanchi, S.; Drash, A.; Morrison, A.; Bernal, M.L.; Vaccaro-Kish, J.; Malone, J.; Pavan, P.R.; Grove, N.; Iyer, M.N.; Burrows, A.F.; Tanaka, E.A.; Gstalder, R.; Dagogo-Jack, S.; Wigley, C.; Ricks, H.; Kitabchi, A.; Murphy, M.B.; Moser, S.; Meyer, D.; Iannacone, A.; Chaum, E.; Yoser, S.; Bryer-Ash, M.; Schussler, S.; Lambeth, H.; Raskin, P.; Strowig, S.; Zinman, B.; Barnie, A.; Devenyi, R.; Mandelcorn, M.; Brent, M.; Rogers, S.; Gordon, A.; Palmer, J.; Catton, S.; Brunzell, J.; Wessells, H.; de Boer, I.H.; Hokanson, J.; Purnell, J.; Ginsberg, J.; Kinyoun, J.; Deeb, S.; Weiss, M.; Meekins, G.; Distad, J.; Van Ottingham, L.; Dupre, J.; Harth, J.; Nicolle, D.; Driscoll, M.; Mahon, J.; Canny, C.; May, M.; Lipps, J.; Agarwal, A.; Adkins, T.; Survant, L.; Pate, R.L.; Munn, G.E.; Lorenz, R.; Feman, S.; White, N.; Levandoski, L.; Boniuk, I.; Grand, G.; Thomas, M.; Joseph, D.D.; Blinder, K.; Shah, G.; Boniuk; Burgess; Santiago, J.; Tamborlane, W.; Gatcomb, P.; Stoessel, K.; Taylor, K.; Goldstein, J.; Novella, S.; Mojibian, H.; Cornfeld, D.; Lima, J.; Bluemke, D.; Turkbey, E.; van der Geest, R.J.; Liu, C.; Malayeri, A.; Jain, A.; Miao, C.; Chahal, H.; Jarboe, R.; Maynard, J.; Gubitosi-Klug, R.; Quin, J.; Gaston, P.; Palmert, M.; Trail, R.; Dahms, W.; Lachin, J.; Cleary, P.; Backlund, J.; Sun, W.; Braffett, B.; Klumpp, K.; Chan, K.; Diminick, L.; Rosenberg, D.; Petty, B.; Determan, A.; Kenny, D.; Rutledge, B.; Younes, Naji; Dews, L.; Hawkins, M.; Cowie, C.; Fradkin, J.; Siebert, C.; Eastman, R.; Danis, R.; Gangaputra, S.; Neill, S.; Davis, M.; Hubbard, L.; Wabers, H.; Burger, M.; Dingledine, J.; Gama, V.; Sussman, R.; Steffes, M.; Bucksa, J.; Nowicki, M.; Chavers, B.; O’Leary, D.; Polak, J.; Harrington, A.; Funk, L.; Crow, R.; Gloeb, B.; Thomas, S.; O’Donnell, C.; Soliman, E.; Zhang, Z.M.; Prineas, R.; Campbell, C.; Ryan, C.; Sandstrom, D.; Williams, T.; Geckle, M.; Cupelli, E.; Thoma, F.; Burzuk, B.; Woodfill, T.; Low, P.; Sommer, C.; Nickander, K.; Budoff, M.; Detrano, R.; Wong, N.; Fox, M.; Kim, L.; Oudiz, R.; Weir, G.; Espeland, M.; Manolio, T.; Rand, L.; Singer, D.; Stern, M.; Boulton, A.E.; Clark, C.; D’Agostino, R.; Lopes-Virella, M.; Garvey, W.T.; Lyons, T.J.; Jenkins, A.; Virella, G.; Jaffa, A.; Carter, Rickey; Lackland, D.; Brabham, M.; McGee, D.; Zheng, D.; Mayfield, R.K.; Boright, A.; Bull, S.; Sun, L.; Scherer, S.; Zinman, B.; Natarajan, R.; Miao, F.; Zhang, L.; Chen;, Z.; Nathan, D.M.; Makela, Kari-Matti; Lehtimaki, Terho; Kahonen, Mika; Raitakari, Olli; Yoshimura, Nagahisa; Matsuda, Fumihiko; Chen, Li Jia; Pang, Chi Pui; Yip, Shea Ping; Yap, Maurice K.H.; Meguro, Akira; Mizuki, Nobuhisa; Inoko, Hidetoshi; Foster, Paul J.; Zhao, Jing Hua; Vithana, Eranga; Tai, E-Shyong; Fan, Qiao; Xu, Liang; Campbell, Harry; Fleck, Brian; Rudan, Igor; Aung, Tin; Hofman, Albert; Uitterlinden, André G.; Bencic, Goran; Khor, Chiea-Chuen; Forward, Hannah; Pärssinen, Olavi; Mitchell, Paul; Rivadeneira, Fernando; Hewitt, Alex W.; Williams, Cathy; Oostra, Ben A.; Teo, Yik-Ying; Hammond, Christopher J.; Stambolian, Dwight; Mackey, David A.; Klaver, Caroline C.W.; Wong, Tien-Yin; Saw, Seang-Mei; Baird, Paul N.

2013-01-01

Refractive errors are common eye disorders of public health importance worldwide. Ocular axial length (AL) is the major determinant of refraction and thus of myopia and hyperopia. We conducted a meta-analysis of genome-wide association studies for AL, combining 12,531 Europeans and 8,216 Asians. We identified eight genome-wide significant loci for AL (RSPO1, C3orf26, LAMA2, GJD2, ZNRF3, CD55, MIP, and ALPPL2) and confirmed one previously reported AL locus (ZC3H11B). Of the nine loci, five (LAMA2, GJD2, CD55, ALPPL2, and ZC3H11B) were associated with refraction in 18 independent cohorts (n = 23,591). Differential gene expression was observed for these loci in minus-lens-induced myopia mouse experiments and human ocular tissues. Two of the AL genes, RSPO1 and ZNRF3, are involved in Wnt signaling, a pathway playing a major role in the regulation of eyeball size. This study provides evidence of shared genes between AL and refraction, but importantly also suggests that these traits may have unique pathways. PMID:24144296

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes.

Science.gov (United States)

McKay, James D; Hung, Rayjean J; Han, Younghun; Zong, Xuchen; Carreras-Torres, Robert; Christiani, David C; Caporaso, Neil E; Johansson, Mattias; Xiao, Xiangjun; Li, Yafang; Byun, Jinyoung; Dunning, Alison; Pooley, Karen A; Qian, David C; Ji, Xuemei; Liu, Geoffrey; Timofeeva, Maria N; Bojesen, Stig E; Wu, Xifeng; Le Marchand, Loic; Albanes, Demetrios; Bickeböller, Heike; Aldrich, Melinda C; Bush, William S; Tardon, Adonina; Rennert, Gad; Teare, M Dawn; Field, John K; Kiemeney, Lambertus A; Lazarus, Philip; Haugen, Aage; Lam, Stephen; Schabath, Matthew B; Andrew, Angeline S; Shen, Hongbing; Hong, Yun-Chul; Yuan, Jian-Min; Bertazzi, Pier Alberto; Pesatori, Angela C; Ye, Yuanqing; Diao, Nancy; Su, Li; Zhang, Ruyang; Brhane, Yonathan; Leighl, Natasha; Johansen, Jakob S; Mellemgaard, Anders; Saliba, Walid; Haiman, Christopher A; Wilkens, Lynne R; Fernandez-Somoano, Ana; Fernandez-Tardon, Guillermo; van der Heijden, Henricus F M; Kim, Jin Hee; Dai, Juncheng; Hu, Zhibin; Davies, Michael P A; Marcus, Michael W; Brunnström, Hans; Manjer, Jonas; Melander, Olle; Muller, David C; Overvad, Kim; Trichopoulou, Antonia; Tumino, Rosario; Doherty, Jennifer A; Barnett, Matt P; Chen, Chu; Goodman, Gary E; Cox, Angela; Taylor, Fiona; Woll, Penella; Brüske, Irene; Wichmann, H-Erich; Manz, Judith; Muley, Thomas R; Risch, Angela; Rosenberger, Albert; Grankvist, Kjell; Johansson, Mikael; Shepherd, Frances A; Tsao, Ming-Sound; Arnold, Susanne M; Haura, Eric B; Bolca, Ciprian; Holcatova, Ivana; Janout, Vladimir; Kontic, Milica; Lissowska, Jolanta; Mukeria, Anush; Ognjanovic, Simona; Orlowski, Tadeusz M; Scelo, Ghislaine; Swiatkowska, Beata; Zaridze, David; Bakke, Per; Skaug, Vidar; Zienolddiny, Shanbeh; Duell, Eric J; Butler, Lesley M; Koh, Woon-Puay; Gao, Yu-Tang; Houlston, Richard S; McLaughlin, John; Stevens, Victoria L; Joubert, Philippe; Lamontagne, Maxime; Nickle, David C; Obeidat, Ma'en; Timens, Wim; Zhu, Bin; Song, Lei; Kachuri, Linda; Artigas, María Soler; Tobin, Martin D; Wain, Louise V; Rafnar, Thorunn; Thorgeirsson, Thorgeir E; Reginsson, Gunnar W; Stefansson, Kari; Hancock, Dana B; Bierut, Laura J; Spitz, Margaret R; Gaddis, Nathan C; Lutz, Sharon M; Gu, Fangyi; Johnson, Eric O; Kamal, Ahsan; Pikielny, Claudio; Zhu, Dakai; Lindströem, Sara; Jiang, Xia; Tyndale, Rachel F; Chenevix-Trench, Georgia; Beesley, Jonathan; Bossé, Yohan; Chanock, Stephen; Brennan, Paul; Landi, Maria Teresa; Amos, Christopher I

2017-07-01

Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genome-wide association study (GWAS) analysis of lung cancer in 29,266 cases and 56,450 controls. We identified 18 susceptibility loci achieving genome-wide significance, including 10 new loci. The new loci highlight the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer, with four loci associated with lung cancer overall and six loci associated with lung adenocarcinoma. Gene expression quantitative trait locus (eQTL) analysis in 1,425 normal lung tissue samples highlights RNASET2, SECISBP2L and NRG1 as candidate genes. Other loci include genes such as a cholinergic nicotinic receptor, CHRNA2, and the telomere-related genes OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer.

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

Science.gov (United States)

McKay, James D.; Hung, Rayjean J.; Han, Younghun; Zong, Xuchen; Carreras-Torres, Robert; Christiani, David C.; Caporaso, Neil E.; Johansson, Mattias; Xiao, Xiangjun; Li, Yafang; Byun, Jinyoung; Dunning, Alison; Pooley, Karen A.; Qian, David C.; Ji, Xuemei; Liu, Geoffrey; Timofeeva, Maria N.; Bojesen, Stig E.; Wu, Xifeng; Le Marchand, Loic; Albanes, Demetrios; Bickeböller, Heike; Aldrich, Melinda C.; Bush, William S.; Tardon, Adonina; Rennert, Gad; Teare, M. Dawn; Field, John K.; Kiemeney, Lambertus A.; Lazarus, Philip; Haugen, Aage; Lam, Stephen; Schabath, Matthew B.; Andrew, Angeline S.; Shen, Hongbing; Hong, Yun-Chul; Yuan, Jian-Min; Bertazzi, Pier Alberto; Pesatori, Angela C.; Ye, Yuanqing; Diao, Nancy; Su, Li; Zhang, Ruyang; Brhane, Yonathan; Leighl, Natasha; Johansen, Jakob S.; Mellemgaard, Anders; Saliba, Walid; Haiman, Christopher A.; Wilkens, Lynne R.; Fernandez-Somoano, Ana; Fernandez-Tardon, Guillermo; van der Heijden, Henricus F.M.; Kim, Jin Hee; Dai, Juncheng; Hu, Zhibin; Davies, Michael PA; Marcus, Michael W.; Brunnström, Hans; Manjer, Jonas; Melander, Olle; Muller, David C.; Overvad, Kim; Trichopoulou, Antonia; Tumino, Rosario; Doherty, Jennifer A.; Barnett, Matt P.; Chen, Chu; Goodman, Gary E.; Cox, Angela; Taylor, Fiona; Woll, Penella; Brüske, Irene; Wichmann, H.-Erich; Manz, Judith; Muley, Thomas R.; Risch, Angela; Rosenberger, Albert; Grankvist, Kjell; Johansson, Mikael; Shepherd, Frances A.; Tsao, Ming-Sound; Arnold, Susanne M.; Haura, Eric B.; Bolca, Ciprian; Holcatova, Ivana; Janout, Vladimir; Kontic, Milica; Lissowska, Jolanta; Mukeria, Anush; Ognjanovic, Simona; Orlowski, Tadeusz M.; Scelo, Ghislaine; Swiatkowska, Beata; Zaridze, David; Bakke, Per; Skaug, Vidar; Zienolddiny, Shanbeh; Duell, Eric J.; Butler, Lesley M.; Koh, Woon-Puay; Gao, Yu-Tang; Houlston, Richard S.; McLaughlin, John; Stevens, Victoria L.; Joubert, Philippe; Lamontagne, Maxime; Nickle, David C.; Obeidat, Ma’en; Timens, Wim; Zhu, Bin; Song, Lei; Kachuri, Linda; Artigas, María Soler; Tobin, Martin D.; Wain, Louise V.; Rafnar, Thorunn; Thorgeirsson, Thorgeir E.; Reginsson, Gunnar W.; Stefansson, Kari; Hancock, Dana B.; Bierut, Laura J.; Spitz, Margaret R.; Gaddis, Nathan C.; Lutz, Sharon M.; Gu, Fangyi; Johnson, Eric O.; Kamal, Ahsan; Pikielny, Claudio; Zhu, Dakai; Lindströem, Sara; Jiang, Xia; Tyndale, Rachel F.; Chenevix-Trench, Georgia; Beesley, Jonathan; Bossé, Yohan; Chanock, Stephen; Brennan, Paul; Landi, Maria Teresa; Amos, Christopher I.

2017-01-01

Summary While several lung cancer susceptibility loci have been identified, much of lung cancer heritability remains unexplained. Here, 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated GWAS analysis of lung cancer on 29,266 patients and 56,450 controls. We identified 18 susceptibility loci achieving genome wide significance, including 10 novel loci. The novel loci highlighted the striking heterogeneity in genetic susceptibility across lung cancer histological subtypes, with four loci associated with lung cancer overall and six with lung adenocarcinoma. Gene expression quantitative trait analysis (eQTL) in 1,425 normal lung tissues highlighted RNASET2, SECISBP2L and NRG1 as candidate genes. Other loci include genes such as a cholinergic nicotinic receptor, CHRNA2, and the telomere-related genes, OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer. PMID:28604730

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

NARCIS (Netherlands)

K. Michailidou (Kyriaki); J. Beesley (Jonathan); S. Lindstrom (Stephen); S. Canisius (Sander); J. Dennis (Joe); M. Lush (Michael); M. Maranian (Melanie); M.K. Bolla (Manjeet); Q. Wang (Qing); M. Shah (Mitul); B. Perkins (Barbara); K. Czene (Kamila); M. Eriksson (Mikael); H. Darabi (Hatef); J.S. Brand (Judith S.); S.E. Bojesen (Stig); B.G. Nordestgaard (Børge); H. Flyger (Henrik); S.F. Nielsen (Sune); N. Rahman (Nazneen); C. Turnbull (Clare); O. Fletcher (Olivia); J. Peto (Julian); L.J. Gibson (Lorna); I. dos Santos Silva (Isabel); J. Chang-Claude (Jenny); D. Flesch-Janys (Dieter); A. Rudolph (Anja); U. Eilber (Ursula); T.W. Behrens (Timothy); H. Nevanlinna (Heli); T.A. Muranen (Taru); K. Aittomäki (Kristiina); C. Blomqvist (Carl); S. Khan (Sofia); K. Aaltonen (Kirsimari); H. Ahsan (Habibul); M.G. Kibriya (Muhammad); A.S. Whittemore (Alice S.); E.M. John (Esther M.); K.E. Malone (Kathleen E.); M.D. Gammon (Marilie); R.M. Santella (Regina M.); G. Ursin (Giske); E. Makalic (Enes); D.F. Schmidt (Daniel); G. Casey (Graham); D.J. Hunter (David J.); S.M. Gapstur (Susan M.); M.M. Gaudet (Mia); W.R. Diver (Ryan); C.A. Haiman (Christopher A.); F.R. Schumacher (Fredrick); B.E. Henderson (Brian); L. Le Marchand (Loic); C.D. Berg (Christine); S.J. Chanock (Stephen); J.D. Figueroa (Jonine); R.N. Hoover (Robert N.); D. Lambrechts (Diether); P. Neven (Patrick); H. Wildiers (Hans); E. van Limbergen (Erik); M.K. Schmidt (Marjanka); A. Broeks (Annegien); S. Verhoef; S. Cornelissen (Sten); F.J. Couch (Fergus); J.E. Olson (Janet); B. Hallberg (Boubou); C. Vachon (Celine); Q. Waisfisz (Quinten); E.J. Meijers-Heijboer (Hanne); M.A. Adank (Muriel); R.B. van der Luijt (Rob); J. Li (Jingmei); J. Liu (Jianjun); M.K. Humphreys (Manjeet); D. Kang (Daehee); J.-Y. Choi (Ji-Yeob); S.K. Park (Sue K.); K.Y. Yoo; K. Matsuo (Keitaro); H. Ito (Hidemi); H. Iwata (Hiroji); K. Tajima (Kazuo); P. Guénel (Pascal); T. Truong (Thérèse); C. Mulot (Claire); M. Sanchez (Marie); B. Burwinkel (Barbara); F. Marme (Federick); H. Surowy (Harald); C. Sohn (Christof); A.H. Wu (Anna H); C.-C. Tseng (Chiu-chen); D. Van Den Berg (David); D.O. Stram (Daniel O.); A. González-Neira (Anna); J. Benítez (Javier); M.P. Zamora (Pilar); J.I.A. Perez (Jose Ignacio Arias); X.-O. Shu (Xiao-Ou); W. Lu (Wei); Y. Gao; H. Cai (Hui); A. Cox (Angela); S.S. Cross (Simon); M.W.R. Reed (Malcolm); I.L. Andrulis (Irene); J.A. Knight (Julia); G. Glendon (Gord); A.-M. Mulligan (Anna-Marie); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); N. Miller (Nicola); A. Lindblom (Annika); S. Margolin (Sara); S.H. Teo (Soo Hwang); C.H. Yip (Cheng Har); N.A.M. Taib (Nur Aishah Mohd); G.-H. Tan (Gie-Hooi); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); J.W.M. Martens (John); J.M. Collée (Margriet); W.J. Blot (William); L.B. Signorello (Lisa B.); Q. Cai (Qiuyin); J. Hopper (John); M.C. Southey (Melissa); H. Tsimiklis (Helen); C. Apicella (Carmel); C-Y. Shen (Chen-Yang); C.-N. Hsiung (Chia-Ni); P.-E. Wu (Pei-Ei); M.-F. Hou (Ming-Feng); V. Kristensen (Vessela); S. Nord (Silje); G.G. Alnæs (Grethe); G.G. Giles (Graham G.); R.L. Milne (Roger); C.A. McLean (Catriona Ann); F. Canzian (Federico); D. Trichopoulos (Dimitrios); P.H.M. Peeters; E. Lund (Eiliv); R. Sund (Reijo); K.T. Khaw; M.J. Gunter (Marc J.); D. Palli (Domenico); L.M. Mortensen (Lotte Maxild); L. Dossus (Laure); J.-M. Huerta (Jose-Maria); A. Meindl (Alfons); R.K. Schmutzler (Rita); C. Sutter (Christian); R. Yang (Rongxi); K. Muir (Kenneth); A. Lophatananon (Artitaya); S. Stewart-Brown (Sarah); P. Siriwanarangsan (Pornthep); J.M. Hartman (Joost); X. Miao; K.S. Chia (Kee Seng); C.W. Chan (Ching Wan); P.A. Fasching (Peter); R. Hein (Rebecca); M.W. Beckmann (Matthias); L. Haeberle (Lothar); H. Brenner (Hermann); A.K. Dieffenbach (Aida Karina); V. Arndt (Volker); C. Stegmaier (Christa); A. Ashworth (Alan); N. Orr (Nick); M. Schoemaker (Minouk); A.J. Swerdlow (Anthony ); L.A. Brinton (Louise); M. García-Closas (Montserrat); W. Zheng (Wei); S.L. Halverson (Sandra L.); M. Shrubsole (Martha); J. Long (Jirong); M.S. Goldberg (Mark); F. Labrèche (France); M. Dumont (Martine); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); H. Brauch (Hiltrud); U. Hamann (Ute); T. Brüning (Thomas); P. Radice (Paolo); P. Peterlongo (Paolo); S. Manoukian (Siranoush); L. Bernard (Loris); N.V. Bogdanova (Natalia); T. Dörk (Thilo); A. Mannermaa (Arto); V. Kataja (Vesa); V-M. Kosma (Veli-Matti); J.M. Hartikainen (J.); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); C.M. Seynaeve (Caroline); C.J. van Asperen (Christi); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska (Katarzyna); T. Huzarski (Tomasz); S. Sangrajrang (Suleeporn); V. Gaborieau (Valerie); P. Brennan (Paul); J.D. McKay (James); S. Slager (Susan); A.E. Toland (Amanda); C.B. Ambrosone (Christine); D. Yannoukakos (Drakoulis); M. Kabisch (Maria); D. Torres (Diana); S.L. Neuhausen (Susan); H. Anton-Culver (Hoda); C. Luccarini (Craig); C. Baynes (Caroline); S. Ahmed (Shahana); S. Healey (Sue); D.C. Tessier (Daniel C.); D. Vincent (Daniel); F. Bacot (Francois); G. Pita (Guillermo); M.R. Alonso (Rosario); N. Álvarez (Nuria); D. Herrero (Daniel); J. Simard (Jacques); P.P.D.P. Pharoah (Paul P.D.P.); P. Kraft (Peter); A.M. Dunning (Alison); G. Chenevix-Trench (Georgia); P. Hall (Per); D.F. Easton (Douglas)

2015-01-01

textabstractGenome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS,

Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

NARCIS (Netherlands)

Jones, G.T.; Tromp, G.; Kuivaniemi, H.; Gretarsdottir, S.; Baas, A.F.; Giusti, B.; Strauss, E.; Hof, F.N. van 't; Webb, T.R.; Erdman, R.; Ritchie, M.D.; Elmore, J.R.; Verma, A.; Pendergrass, S.; Kullo, I.J.; Ye, Z.; Peissig, P.L.; Gottesman, O.; Verma, S.S.; Malinowski, J.; Rasmussen-Torvik, L.J.; Borthwick, K.M.; Smelser, D.T.; Crosslin, D.R.; Andrade, M. de; Ryer, E.J.; McCarty, C.A.; Bottinger, E.P.; Pacheco, J.A.; Crawford, D.C.; Carrell, D.S.; Gerhard, G.S.; Franklin, D.P.; Carey, D.J.; Phillips, V.L.; Williams, M.J.; Wei, W.; Blair, R.; Hill, A.A.; Vasudevan, T.M.; Lewis, D.R.; Thomson, I.A.; Krysa, J.; Hill, G.B.; Roake, J.; Merriman, T.R.; Oszkinis, G.; Galora, S.; Saracini, C.; Abbate, R.; Pulli, R.; Pratesi, C.; Saratzis, A.; Verissimo, A.R.; Bumpstead, S.; Badger, S.A.; Clough, R.E.; Cockerill, G.; Hafez, H.; Scott, D.J.; Futers, T.S.; Romaine, S.P.; Bridge, K.; Griffin, K.J.; Bailey, M.A.; Smith, A.; Thompson, M.M.; Bockxmeer, F.M. van; Matthiasson, S.E.; Thorleifsson, G.; Thorsteinsdottir, U.; Blankensteijn, J.D.; Teijink, J.A.; Wijmenga, C.; Graaf, J. de; Kiemeney, L.A.L.M.; Lindholt, J.S.; Hughes, A.; Bradley, D.T.; Stirrups, K.; Golledge, J.; Norman, P.E.; Powell, J.T.; Humphries, S.E.; Hamby, S.E.; Goodall, A.H.; Nelson, C.P.; Sakalihasan, N.; Courtois, A.; Ferrell, R.E.; Eriksson, P.; Folkersen, L.; Franco-Cereceda, A.; Eicher, J.D.; Johnson, A.D.; Betsholtz, C.; Ruusalepp, A.; Franzen, O.; Schadt, E.E.; Bjorkegren, J.L.; et al.,

2017-01-01

RATIONALE: Abdominal aortic aneurysm (AAA) is a complex disease with both genetic and environmental risk factors. Together, 6 previously identified risk loci only explain a small proportion of the heritability of AAA. OBJECTIVE: To identify additional AAA risk loci using data from all available

Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes

DEFF Research Database (Denmark)

Imamura, Minako; Takahashi, Atsushi; Yamauchi, Toshimasa

2016-01-01

Genome-wide association studies (GWAS) have identified more than 80 susceptibility loci for type 2 diabetes (T2D), but most of its heritability still remains to be elucidated. In this study, we conducted a meta-analysis of GWAS for T2D in the Japanese population. Combined data from discovery...... and subsequent validation analyses (23,399 T2D cases and 31,722 controls) identify 7 new loci with genome-wide significance (P2, rs7107784 near MIR4686 and rs67839313 near INAFM2....... Of these, the association of 4 loci with T2D is replicated in multi-ethnic populations other than Japanese (up to 65,936 T2Ds and 158,030 controls, P

Novel genetic loci underlying human intracranial volume identified through genome-wide association

Science.gov (United States)

Adams, Hieab HH; Hibar, Derrek P; Chouraki, Vincent; Stein, Jason L; Nyquist, Paul A; Rentería, Miguel E; Trompet, Stella; Arias-Vasquez, Alejandro; Seshadri, Sudha; Desrivières, Sylvane; Beecham, Ashley H; Jahanshad, Neda; Wittfeld, Katharina; Van der Lee, Sven J; Abramovic, Lucija; Alhusaini, Saud; Amin, Najaf; Andersson, Micael; Arfanakis, Konstantinos; Aribisala, Benjamin S; Armstrong, Nicola J; Athanasiu, Lavinia; Axelsson, Tomas; Beiser, Alexa; Bernard, Manon; Bis, Joshua C; Blanken, Laura ME; Blanton, Susan H; Bohlken, Marc M; Boks, Marco P; Bralten, Janita; Brickman, Adam M; Carmichael, Owen; Chakravarty, M Mallar; Chauhan, Ganesh; Chen, Qiang; Ching, Christopher RK; Cuellar-Partida, Gabriel; Den Braber, Anouk; Doan, Nhat Trung; Ehrlich, Stefan; Filippi, Irina; Ge, Tian; Giddaluru, Sudheer; Goldman, Aaron L; Gottesman, Rebecca F; Greven, Corina U; Grimm, Oliver; Griswold, Michael E; Guadalupe, Tulio; Hass, Johanna; Haukvik, Unn K; Hilal, Saima; Hofer, Edith; Hoehn, David; Holmes, Avram J; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kasperaviciute, Dalia; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H; Liao, Jiemin; Liewald, David CM; Lopez, Lorna M; Luciano, Michelle; Macare, Christine; Marquand, Andre; Matarin, Mar; Mather, Karen A; Mattheisen, Manuel; Mazoyer, Bernard; McKay, David R; McWhirter, Rebekah; Milaneschi, Yuri; Mirza-Schreiber, Nazanin; Muetzel, Ryan L; Maniega, Susana Muñoz; Nho, Kwangsik; Nugent, Allison C; Olde Loohuis, Loes M; Oosterlaan, Jaap; Papmeyer, Martina; Pappa, Irene; Pirpamer, Lukas; Pudas, Sara; Pütz, Benno; Rajan, Kumar B; Ramasamy, Adaikalavan; Richards, Jennifer S; Risacher, Shannon L; Roiz-Santiañez, Roberto; Rommelse, Nanda; Rose, Emma J; Royle, Natalie A; Rundek, Tatjana; Sämann, Philipp G; Satizabal, Claudia L; Schmaal, Lianne; Schork, Andrew J; Shen, Li; Shin, Jean; Shumskaya, Elena; Smith, Albert V; Sprooten, Emma; Strike, Lachlan T; Teumer, Alexander; Thomson, Russell; Tordesillas-Gutierrez, Diana; Toro, Roberto; Trabzuni, Daniah; Vaidya, Dhananjay; Van der Grond, Jeroen; Van der Meer, Dennis; Van Donkelaar, Marjolein MJ; Van Eijk, Kristel R; Van Erp, Theo GM; Van Rooij, Daan; Walton, Esther; Westlye, Lars T; Whelan, Christopher D; Windham, Beverly G; Winkler, Anderson M; Woldehawariat, Girma; Wolf, Christiane; Wolfers, Thomas; Xu, Bing; Yanek, Lisa R; Yang, Jingyun; Zijdenbos, Alex; Zwiers, Marcel P; Agartz, Ingrid; Aggarwal, Neelum T; Almasy, Laura; Ames, David; Amouyel, Philippe; Andreassen, Ole A; Arepalli, Sampath; Assareh, Amelia A; Barral, Sandra; Bastin, Mark E; Becker, Diane M; Becker, James T; Bennett, David A; Blangero, John; van Bokhoven, Hans; Boomsma, Dorret I; Brodaty, Henry; Brouwer, Rachel M; Brunner, Han G; Buckner, Randy L; Buitelaar, Jan K; Bulayeva, Kazima B; Cahn, Wiepke; Calhoun, Vince D; Cannon, Dara M; Cavalleri, Gianpiero L; Chen, Christopher; Cheng, Ching-Yu; Cichon, Sven; Cookson, Mark R; Corvin, Aiden; Crespo-Facorro, Benedicto; Curran, Joanne E; Czisch, Michael; Dale, Anders M; Davies, Gareth E; De Geus, Eco JC; De Jager, Philip L; de Zubicaray, Greig I; Delanty, Norman; Depondt, Chantal; DeStefano, Anita L; Dillman, Allissa; Djurovic, Srdjan; Donohoe, Gary; Drevets, Wayne C; Duggirala, Ravi; Dyer, Thomas D; Erk, Susanne; Espeseth, Thomas; Evans, Denis A; Fedko, Iryna O; Fernández, Guillén; Ferrucci, Luigi; Fisher, Simon E; Fleischman, Debra A; Ford, Ian; Foroud, Tatiana M; Fox, Peter T; Francks, Clyde; Fukunaga, Masaki; Gibbs, J Raphael; Glahn, David C; Gollub, Randy L; Göring, Harald HH; Grabe, Hans J; Green, Robert C; Gruber, Oliver; Gudnason, Vilmundur; Guelfi, Sebastian; Hansell, Narelle K; Hardy, John; Hartman, Catharina A; Hashimoto, Ryota; Hegenscheid, Katrin; Heinz, Andreas; Le Hellard, Stephanie; Hernandez, Dena G; Heslenfeld, Dirk J; Ho, Beng-Choon; Hoekstra, Pieter J; Hoffmann, Wolfgang; Hofman, Albert; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Hottenga, Jouke-Jan; Hulshoff Pol, Hilleke E; Ikeda, Masashi; Ikram, M Kamran; Jack, Clifford R; Jenkinson, Mark; Johnson, Robert; Jönsson, Erik G; Jukema, J Wouter; Kahn, René S; Kanai, Ryota; Kloszewska, Iwona; Knopman, David S; Kochunov, Peter; Kwok, John B; Lawrie, Stephen M; Lemaître, Hervé; Liu, Xinmin; Longo, Dan L; Longstreth, WT; Lopez, Oscar L; Lovestone, Simon; Martinez, Oliver; Martinot, Jean-Luc; Mattay, Venkata S; McDonald, Colm; McIntosh, Andrew M; McMahon, Katie L; McMahon, Francis J; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Mohnke, Sebastian; Montgomery, Grant W; Morris, Derek W; Mosley, Thomas H; Mühleisen, Thomas W; Müller-Myhsok, Bertram; Nalls, Michael A; Nauck, Matthias; Nichols, Thomas E; Niessen, Wiro J; Nöthen, Markus M; Nyberg, Lars; Ohi, Kazutaka; Olvera, Rene L; Ophoff, Roel A; Pandolfo, Massimo; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda WJH; Pike, G Bruce; Potkin, Steven G; Psaty, Bruce M; Reppermund, Simone; Rietschel, Marcella; Roffman, Joshua L; Romanczuk-Seiferth, Nina; Rotter, Jerome I; Ryten, Mina; Sacco, Ralph L; Sachdev, Perminder S; Saykin, Andrew J; Schmidt, Reinhold; Schofield, Peter R; Sigurdsson, Sigurdur; Simmons, Andy; Singleton, Andrew; Sisodiya, Sanjay M; Smith, Colin; Smoller, Jordan W; Soininen, Hilkka; Srikanth, Velandai; Steen, Vidar M; Stott, David J; Sussmann, Jessika E; Thalamuthu, Anbupalam; Tiemeier, Henning; Toga, Arthur W; Traynor, Bryan J; Troncoso, Juan; Turner, Jessica A; Tzourio, Christophe; Uitterlinden, Andre G; Valdés Hernández, Maria C; Van der Brug, Marcel; Van der Lugt, Aad; Van der Wee, Nic JA; Van Duijn, Cornelia M; Van Haren, Neeltje EM; Van 't Ent, Dennis; Van Tol, Marie-Jose; Vardarajan, Badri N; Veltman, Dick J; Vernooij, Meike W; Völzke, Henry; Walter, Henrik; Wardlaw, Joanna M; Wassink, Thomas H; Weale, Michael E; Weinberger, Daniel R; Weiner, Michael W; Wen, Wei; Westman, Eric; White, Tonya; Wong, Tien Y; Wright, Clinton B; Zielke, H Ronald; Zonderman, Alan B; Deary, Ian J; DeCarli, Charles; Schmidt, Helena; Martin, Nicholas G; De Craen, Anton JM; Wright, Margaret J; Launer, Lenore J; Schumann, Gunter; Fornage, Myriam; Franke, Barbara; Debette, Stéphanie; Medland, Sarah E; Ikram, M Arfan; Thompson, Paul M

2016-01-01

Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five novel loci for intracranial volume and confirmed two known signals. Four of the loci are also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (ρgenetic=0.748), which indicated a similar genetic background and allowed for the identification of four additional loci through meta-analysis (Ncombined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, Parkinson’s disease, and enriched near genes involved in growth pathways including PI3K–AKT signaling. These findings identify biological underpinnings of intracranial volume and provide genetic support for theories on brain reserve and brain overgrowth. PMID:27694991

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

NARCIS (Netherlands)

Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J.; Maranian, Mel J.; Bolla, Manjeet K.; Wang, Qin; Shah, Mitul; Perkins, Barbara J.; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S.; Bojesen, Stig E.; Nordestgaard, Borge G.; Flyger, Henrik; Nielsen, Sune F.; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A.; Aittomaki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G.; Whittemore, Alice S.; John, Esther M.; Malone, Kathleen E.; Gammon, Marilie D.; Santella, Regina M.; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F.; Casey, Graham; Hunter, David J.; Gapstur, Susan M.; Gaudet, Mia M.; Diver, W. Ryan; Haiman, Christopher A.; Schumacher, Fredrick; Henderson, Brian E.; Le Marchand, Loic; Berg, Christine D.; Chanock, Stephen J.; Figueroa, Jonine; Hoover, Robert N.; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K.; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J.; Olson, Janet E.; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A.; van der Luijt, Rob B.; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K.; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guenel, Pascal; Truong, Therese; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H.; Tseng, Chiu-chen; Van den Berg, David; Stram, Daniel O.; Gonzalez-Neira, Anna; Benitez, Javier; Zamora, M. Pilar; Arias Perez, Jose Ignacio; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; Tan, Gie-Hooi; Hooning, Maartje J.; Hollestelle, Antoinette; Martens, John W. M.; Collee, J. Margriet; Blot, William; Signorello, Lisa B.; Cai, Qiuyin; Hopper, John L.; Southey, Melissa C.; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N.; Nord, Silje; Alnaes, Grethe I. Grenaker; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Canzian, Federico; Trichopoulos, Dimitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J.; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K.; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A.; Hein, Alexander; Beckmann, Matthias W.; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J.; Swerdlow, Anthony J.; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L.; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S.; Labreche, France; Dumont, Martine; Winqvist, Robert; Pylkas, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Bruening, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V.; Doerk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Devilee, Peter; Tollenaar, Robert A. E. M.; Seynaeve, Caroline; Van Asperen, Christi J.; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; Mckay, James; Slager, Susan; Toland, Amanda E.; Ambrosone, Christine B.; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L.; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S.; Tessier, Daniel C.; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Rosario Alonso, M.; Alvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul P. D. P.; Kraft, Peter; Dunning, Alison M.; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F.

Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining similar to 14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

DEFF Research Database (Denmark)

Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara

2015-01-01

Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748...

Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

Science.gov (United States)

Felix, Janine F.; Bradfield, Jonathan P.; Monnereau, Claire; van der Valk, Ralf J.P.; Stergiakouli, Evie; Chesi, Alessandra; Gaillard, Romy; Feenstra, Bjarke; Thiering, Elisabeth; Kreiner-Møller, Eskil; Mahajan, Anubha; Pitkänen, Niina; Joro, Raimo; Cavadino, Alana; Huikari, Ville; Franks, Steve; Groen-Blokhuis, Maria M.; Cousminer, Diana L.; Marsh, Julie A.; Lehtimäki, Terho; Curtin, John A.; Vioque, Jesus; Ahluwalia, Tarunveer S.; Myhre, Ronny; Price, Thomas S.; Vilor-Tejedor, Natalia; Yengo, Loïc; Grarup, Niels; Ntalla, Ioanna; Ang, Wei; Atalay, Mustafa; Bisgaard, Hans; Blakemore, Alexandra I.; Bonnefond, Amelie; Carstensen, Lisbeth; Eriksson, Johan; Flexeder, Claudia; Franke, Lude; Geller, Frank; Geserick, Mandy; Hartikainen, Anna-Liisa; Haworth, Claire M.A.; Hirschhorn, Joel N.; Hofman, Albert; Holm, Jens-Christian; Horikoshi, Momoko; Hottenga, Jouke Jan; Huang, Jinyan; Kadarmideen, Haja N.; Kähönen, Mika; Kiess, Wieland; Lakka, Hanna-Maaria; Lakka, Timo A.; Lewin, Alexandra M.; Liang, Liming; Lyytikäinen, Leo-Pekka; Ma, Baoshan; Magnus, Per; McCormack, Shana E.; McMahon, George; Mentch, Frank D.; Middeldorp, Christel M.; Murray, Clare S.; Pahkala, Katja; Pers, Tune H.; Pfäffle, Roland; Postma, Dirkje S.; Power, Christine; Simpson, Angela; Sengpiel, Verena; Tiesler, Carla M. T.; Torrent, Maties; Uitterlinden, André G.; van Meurs, Joyce B.; Vinding, Rebecca; Waage, Johannes; Wardle, Jane; Zeggini, Eleftheria; Zemel, Babette S.; Dedoussis, George V.; Pedersen, Oluf; Froguel, Philippe; Sunyer, Jordi; Plomin, Robert; Jacobsson, Bo; Hansen, Torben; Gonzalez, Juan R.; Custovic, Adnan; Raitakari, Olli T.; Pennell, Craig E.; Widén, Elisabeth; Boomsma, Dorret I.; Koppelman, Gerard H.; Sebert, Sylvain; Järvelin, Marjo-Riitta; Hyppönen, Elina; McCarthy, Mark I.; Lindi, Virpi; Harri, Niinikoski; Körner, Antje; Bønnelykke, Klaus; Heinrich, Joachim; Melbye, Mads; Rivadeneira, Fernando; Hakonarson, Hakon; Ring, Susan M.; Smith, George Davey; Sørensen, Thorkild I.A.; Timpson, Nicholas J.; Grant, Struan F.A.; Jaddoe, Vincent W.V.

2016-01-01

A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We included 35 668 children from 20 studies in the discovery phase and 11 873 children from 13 studies in the replication phase. In total, 15 loci reached genome-wide significance (P-value < 5 × 10−8) in the joint discovery and replication analysis, of which 12 are previously identified loci in or close to ADCY3, GNPDA2, TMEM18, SEC16B, FAIM2, FTO, TFAP2B, TNNI3K, MC4R, GPR61, LMX1B and OLFM4 associated with adult body mass index or childhood obesity. We identified three novel loci: rs13253111 near ELP3, rs8092503 near RAB27B and rs13387838 near ADAM23. Per additional risk allele, body mass index increased 0.04 Standard Deviation Score (SDS) [Standard Error (SE) 0.007], 0.05 SDS (SE 0.008) and 0.14 SDS (SE 0.025), for rs13253111, rs8092503 and rs13387838, respectively. A genetic risk score combining all 15 SNPs showed that each additional average risk allele was associated with a 0.073 SDS (SE 0.011, P-value = 3.12 × 10−10) increase in childhood body mass index in a population of 1955 children. This risk score explained 2% of the variance in childhood body mass index. This study highlights the shared genetic background between childhood and adult body mass index and adds three novel loci. These loci likely represent age-related differences in strength of the associations with body mass index. PMID:26604143

Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution.

Directory of Open Access Journals (Sweden)

Cecilia M Lindgren

2009-06-01

Full Text Available To identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580 informative for adult waist circumference (WC and waist-hip ratio (WHR. We selected 26 SNPs for follow-up, for which the evidence of association with measures of central adiposity (WC and/or WHR was strong and disproportionate to that for overall adiposity or height. Follow-up studies in a maximum of 70,689 individuals identified two loci strongly associated with measures of central adiposity; these map near TFAP2B (WC, P = 1.9x10(-11 and MSRA (WC, P = 8.9x10(-9. A third locus, near LYPLAL1, was associated with WHR in women only (P = 2.6x10(-8. The variants near TFAP2B appear to influence central adiposity through an effect on overall obesity/fat-mass, whereas LYPLAL1 displays a strong female-only association with fat distribution. By focusing on anthropometric measures of central obesity and fat distribution, we have identified three loci implicated in the regulation of human adiposity.

Association analysis identifies 65 new breast cancer risk loci

OpenAIRE

Michailidou, Kyriaki; Lindström, Sara; Dennis, Joe; Beesley, Jonathan; Hui, Shirley; Kar, Siddhartha; Lemaçon, Audrey; Soucy, Penny; Glubb, Dylan; Rostamianfar, Asha; Bolla, Manjeet K; Wang, Qin; Tyrer, Jonathan; Dicks, Ed; Lee, Andrew

2017-01-01

Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer ri...

Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

NARCIS (Netherlands)

C.E. Elks (Cathy); J.R.B. Perry (John); P. Sulem (Patrick); D.I. Chasman (Daniel); N. Franceschini (Nora); C. He (Chunyan); K.L. Lunetta (Kathryn); J.A. Visser (Jenny); E.M. Byrne (Enda); D.L. Cousminer (Diana); D.F. Gudbjartsson (Daniel); T. Esko (Tõnu); B. Feenstra (Bjarke); J.J. Hottenga (Jouke Jan); D.L. Koller (Daniel); Z. Kutalik (Zoltán); P. Lin (Peng); M. Mangino (Massimo); M. Marongiu (Mara); P.F. McArdle (Patrick); A.V. Smith (Albert Vernon); L. Stolk (Lisette); S. van Wingerden (Sophie); J.H. Zhao (Jing Hua); E. Albrecht (Eva); T. Corre (Tanguy); E. Ingelsson (Erik); C. Hayward (Caroline); P.K. Magnusson (Patrik); S. Ulivi (Shelia); N.M. Warrington (Nicole); L. Zgaga (Lina); H. Alavere (Helene); N. Amin (Najaf); T. Aspelund (Thor); S. Bandinelli (Stefania); I.E. Barroso (Inês); G. Berenson (Gerald); S.M. Bergmann (Sven); H. Blackburn (Hannah); E.A. Boerwinkle (Eric); J.E. Buring (Julie); F. Busonero; H. Campbell (Harry); S.J. Chanock (Stephen); W. Chen (Wei); M. Cornelis (Marilyn); D.J. Couper (David); A.D. Coviello (Andrea); P. d' Adamo (Pio); U. de Faire (Ulf); E.J.C. de Geus (Eco); P. Deloukas (Panagiotis); A. Döring (Angela); D.F. Easton (Douglas); G. Eiriksdottir (Gudny); V. Emilsson (Valur); J.G. Eriksson (Johan); L. Ferrucci (Luigi); A.R. Folsom (Aaron); T. Foroud (Tatiana); M. Garcia (Melissa); P. Gasparini (Paolo); F. Geller (Frank); C. Gieger (Christian); V. Gudnason (Vilmundur); A.S. Hall (Alistair); S.E. Hankinson (Susan); L. Ferreli (Liana); A.C. Heath (Andrew); D.G. Hernandez (Dena); A. Hofman (Albert); F.B. Hu (Frank); T. Illig (Thomas); M.R. Järvelin; A.D. Johnson (Andrew); D. Karasik (David); K-T. Khaw (Kay-Tee); D.P. Kiel (Douglas); T.O. Kilpelänen (Tuomas); I. Kolcic (Ivana); P. Kraft (Peter); L.J. Launer (Lenore); J.S.E. Laven (Joop); S. Li (Shengxu); J. Liu (Jianjun); D. Levy (Daniel); N.G. Martin (Nicholas); M. Melbye (Mads); V. Mooser (Vincent); J.C. Murray (Jeffrey); M.A. Nalls (Michael); P. Navarro (Pau); M. Nelis (Mari); A.R. Ness (Andrew); K. Northstone (Kate); B.A. Oostra (Ben); M. Peacock (Munro); C. Palmer (Cameron); A. Palotie (Aarno); G. Paré (Guillaume); A.N. Parker (Alex); N.L. Pedersen (Nancy); L. Peltonen (Leena Johanna); C.E. Pennell (Craig); P.D.P. Pharoah (Paul); O. Polasek (Ozren); A.S. Plump (Andrew); A. Pouta (Anneli); E. Porcu (Eleonora); T. Rafnar (Thorunn); J.P. Rice (John); S.M. Ring (Susan); F. Rivadeneira Ramirez (Fernando); I. Rudan (Igor); C. Sala (Cinzia); V. Salomaa (Veikko); S. Sanna (Serena); D. Schlessinger; N.J. Schork (Nicholas); A. Scuteri (Angelo); A.V. Segrè (Ayellet); A.R. Shuldiner (Alan); N. Soranzo (Nicole); U. Sovio (Ulla); S.R. Srinivasan (Sathanur); D.P. Strachan (David); M.L. Tammesoo; E. Tikkanen (Emmi); D. Toniolo (Daniela); K. Tsui (Kim); L. Tryggvadottir (Laufey); J.P. Tyrer (Jonathan); M. Uda (Manuela); R.M. van Dam (Rob); J.B.J. van Meurs (Joyce); P. Vollenweider (Peter); G. Waeber (Gérard); N.J. Wareham (Nick); D. Waterworth (Dawn); H.E. Wichmann (Heinz Erich); G.A.H.M. Willemsen (Gonneke); J.F. Wilson (James); A.F. Wright (Alan); L. Young (Lauren); G. Zhai (Guangju); W.V. Zhuang; L.J. Bierut (Laura); D.I. Boomsma (Dorret); H.A. Boyd (Heather); L. Crisponi (Laura); E.W. Demerath (Ellen); P. Tikka-Kleemola (Päivi); M.J. Econs (Michael); T.B. Harris (Tamara); D. Hunter (David); R.J.F. Loos (Ruth); A. Metspalu (Andres); G.W. Montgomery (Grant); P.M. Ridker (Paul); T.D. Spector (Tim); E.A. Streeten (Elizabeth); K. Stefansson (Kari); U. Thorsteinsdottir (Unnur); A.G. Uitterlinden (André); E. Widen (Elisabeth); J. Murabito (Joanne); K. Ong (Ken); M.N. Weedon (Michael)

2010-01-01

textabstractTo identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10 -60) and 9q31.2 (P = 2.2 × 10 -33), we identified 30

Large-scale genotyping identifies 41 new loci associated with breast cancer risk.

Science.gov (United States)

Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna; Ghoussaini, Maya; Dennis, Joe; Milne, Roger L; Schmidt, Marjanka K; Chang-Claude, Jenny; Bojesen, Stig E; Bolla, Manjeet K; Wang, Qin; Dicks, Ed; Lee, Andrew; Turnbull, Clare; Rahman, Nazneen; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; Dos Santos Silva, Isabel; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel; van der Luijt, Rob B; Hein, Rebecca; Dahmen, Norbert; Beckman, Lars; Meindl, Alfons; Schmutzler, Rita K; Müller-Myhsok, Bertram; Lichtner, Peter; Hopper, John L; Southey, Melissa C; Makalic, Enes; Schmidt, Daniel F; Uitterlinden, Andre G; Hofman, Albert; Hunter, David J; Chanock, Stephen J; Vincent, Daniel; Bacot, François; Tessier, Daniel C; Canisius, Sander; Wessels, Lodewyk F A; Haiman, Christopher A; Shah, Mitul; Luben, Robert; Brown, Judith; Luccarini, Craig; Schoof, Nils; Humphreys, Keith; Li, Jingmei; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Couch, Fergus J; Wang, Xianshu; Vachon, Celine; Stevens, Kristen N; Lambrechts, Diether; Moisse, Matthieu; Paridaens, Robert; Christiaens, Marie-Rose; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Johnson, Nichola; Aitken, Zoe; Aaltonen, Kirsimari; Heikkinen, Tuomas; Broeks, Annegien; Veer, Laura J Van't; van der Schoot, C Ellen; Guénel, Pascal; Truong, Thérèse; Laurent-Puig, Pierre; Menegaux, Florence; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Burwinkel, Barbara; Zamora, M Pilar; Perez, Jose Ignacio Arias; Pita, Guillermo; Alonso, M Rosario; Cox, Angela; Brock, Ian W; Cross, Simon S; Reed, Malcolm W R; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Henderson, Brian E; Schumacher, Fredrick; Le Marchand, Loic; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Lindblom, Annika; Margolin, Sara; Hooning, Maartje J; Hollestelle, Antoinette; van den Ouweland, Ans M W; Jager, Agnes; Bui, Quang M; Stone, Jennifer; Dite, Gillian S; Apicella, Carmel; Tsimiklis, Helen; Giles, Graham G; Severi, Gianluca; Baglietto, Laura; Fasching, Peter A; Haeberle, Lothar; Ekici, Arif B; Beckmann, Matthias W; Brenner, Hermann; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Jones, Michael; Figueroa, Jonine; Lissowska, Jolanta; Brinton, Louise; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bonanni, Bernardo; Devilee, Peter; Tollenaar, Rob A E M; Seynaeve, Caroline; van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Bogdanova, Natalia V; Antonenkova, Natalia N; Dörk, Thilo; Kristensen, Vessela N; Anton-Culver, Hoda; Slager, Susan; Toland, Amanda E; Edge, Stephen; Fostira, Florentia; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Sueta, Aiko; Wu, Anna H; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Teo, Soo Hwang; Yip, Cheng Har; Phuah, Sze Yee; Cornes, Belinda K; Hartman, Mikael; Miao, Hui; Lim, Wei Yen; Sng, Jen-Hwei; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Ding, Shian-Ling; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Blot, William J; Signorello, Lisa B; Cai, Qiuyin; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha; Long, Jirong; Simard, Jacques; Garcia-Closas, Montse; Pharoah, Paul D P; Chenevix-Trench, Georgia; Dunning, Alison M; Benitez, Javier; Easton, Douglas F

2013-04-01

Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P breast cancer susceptibility.

Meta-analysis identifies seven susceptibility loci involved in the atopic march.

Science.gov (United States)

Marenholz, Ingo; Esparza-Gordillo, Jorge; Rüschendorf, Franz; Bauerfeind, Anja; Strachan, David P; Spycher, Ben D; Baurecht, Hansjörg; Margaritte-Jeannin, Patricia; Sääf, Annika; Kerkhof, Marjan; Ege, Markus; Baltic, Svetlana; Matheson, Melanie C; Li, Jin; Michel, Sven; Ang, Wei Q; McArdle, Wendy; Arnold, Andreas; Homuth, Georg; Demenais, Florence; Bouzigon, Emmanuelle; Söderhäll, Cilla; Pershagen, Göran; de Jongste, Johan C; Postma, Dirkje S; Braun-Fahrländer, Charlotte; Horak, Elisabeth; Ogorodova, Ludmila M; Puzyrev, Valery P; Bragina, Elena Yu; Hudson, Thomas J; Morin, Charles; Duffy, David L; Marks, Guy B; Robertson, Colin F; Montgomery, Grant W; Musk, Bill; Thompson, Philip J; Martin, Nicholas G; James, Alan; Sleiman, Patrick; Toskala, Elina; Rodriguez, Elke; Fölster-Holst, Regina; Franke, Andre; Lieb, Wolfgang; Gieger, Christian; Heinzmann, Andrea; Rietschel, Ernst; Keil, Thomas; Cichon, Sven; Nöthen, Markus M; Pennell, Craig E; Sly, Peter D; Schmidt, Carsten O; Matanovic, Anja; Schneider, Valentin; Heinig, Matthias; Hübner, Norbert; Holt, Patrick G; Lau, Susanne; Kabesch, Michael; Weidinger, Stefan; Hakonarson, Hakon; Ferreira, Manuel A R; Laprise, Catherine; Freidin, Maxim B; Genuneit, Jon; Koppelman, Gerard H; Melén, Erik; Dizier, Marie-Hélène; Henderson, A John; Lee, Young Ae

2015-11-06

Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P=2.1 × 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P=5.3 × 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.

Large-scale genotyping identifies 41 new loci associated with breast cancer risk

DEFF Research Database (Denmark)

Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna

2013-01-01

Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10...

Large-scale genotyping identifies 41 new loci associated with breast cancer risk

NARCIS (Netherlands)

Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna; Ghoussaini, Maya; Dennis, Joe; Milne, Roger L.; Schmidt, Marjanka K.; Chang-Claude, Jenny; Bojesen, Stig E.; Bolla, Manjeet K.; Wang, Qin; Dicks, Ed; Lee, Andrew; Turnbull, Clare; Rahman, Nazneen; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos Santos Silva, Isabel; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel; van der Luijt, Rob B.; Hein, Rebecca; Dahmen, Norbert; Beckman, Lars; Meindl, Alfons; Schmutzler, Rita K.; Müller-Myhsok, Bertram; Lichtner, Peter; Hopper, John L.; Southey, Melissa C.; Makalic, Enes; Schmidt, Daniel F.; Uitterlinden, Andre G.; Hofman, Albert; Hunter, David J.; Chanock, Stephen J.; Vincent, Daniel; Bacot, François; Tessier, Daniel C.; Canisius, Sander; Wessels, Lodewyk F. A.; Haiman, Christopher A.; Shah, Mitul; Luben, Robert; Brown, Judith; Luccarini, Craig; Schoof, Nils; Humphreys, Keith; Li, Jingmei; Nordestgaard, Børge G.; Nielsen, Sune F.; Flyger, Henrik; Couch, Fergus J.; Wang, Xianshu; Vachon, Celine; Stevens, Kristen N.; Lambrechts, Diether; Moisse, Matthieu; Paridaens, Robert; Christiaens, Marie-Rose; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Johnson, Nichola; Aitken, Zoe; Aaltonen, Kirsimari; Heikkinen, Tuomas; Broeks, Annegien; van 't Veer, Laura J.; van der Schoot, C. Ellen; Guénel, Pascal; Truong, Thérèse; Laurent-Puig, Pierre; Menegaux, Florence; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Burwinkel, Barbara; Zamora, M. Pilar; Perez, Jose Ignacio Arias; Pita, Guillermo; Alonso, M. Rosario; Cox, Angela; Brock, Ian W.; Cross, Simon S.; Reed, Malcolm W. R.; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Lindblom, Annika; Margolin, Sara; Hooning, Maartje J.; Hollestelle, Antoinette; van den Ouweland, Ans M. W.; Jager, Agnes; Bui, Quang M.; Stone, Jennifer; Dite, Gillian S.; Apicella, Carmel; Tsimiklis, Helen; Giles, Graham G.; Severi, Gianluca; Baglietto, Laura; Fasching, Peter A.; Haeberle, Lothar; Ekici, Arif B.; Beckmann, Matthias W.; Brenner, Hermann; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Jones, Michael; Figueroa, Jonine; Lissowska, Jolanta; Brinton, Louise; Goldberg, Mark S.; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bonanni, Bernardo; Devilee, Peter; Tollenaar, Rob A. E. M.; Seynaeve, Caroline; van Asperen, Christi J.; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Bogdanova, Natalia V.; Antonenkova, Natalia N.; Dörk, Thilo; Kristensen, Vessela N.; Anton-Culver, Hoda; Slager, Susan; Toland, Amanda E.; Edge, Stephen; Fostira, Florentia; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Sueta, Aiko; Wu, Anna H.; Tseng, Chiu-Chen; van den Berg, David; Stram, Daniel O.; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; teo, Soo Hwang; Yip, Cheng Har; Phuah, Sze Yee; Cornes, Belinda K.; Hartman, Mikael; Miao, Hui; Lim, Wei Yen; Sng, Jen-Hwei; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Ding, Shian-Ling; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Blot, William J.; Signorello, Lisa B.; Cai, Qiuyin; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha; Long, Jirong; Simard, Jacques; Garcia-Closas, Montse; Pharoah, Paul D. P.; Chenevix-Trench, Georgia; Dunning, Alison M.; Benitez, Javier; Easton, Douglas F.

2013-01-01

Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including

Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease

NARCIS (Netherlands)

Nalls, Mike A.; Pankratz, Nathan; Lill, Christina M.; Do, Chuong B.; Hernandez, Dena G.; Saad, Mohamad; DeStefano, Anita L.; Kara, Eleanna; Bras, Jose; Sharma, Manu; Schulte, Claudia; Keller, Margaux F.; Arepalli, Sampath; Letson, Christopher; Edsall, Connor; Stefansson, Hreinn; Liu, Xinmin; Pliner, Hannah; Lee, Joseph H.; Cheng, Rong; Ikram, M. Arfan; Ioannidis, John P. A.; Hadjigeorgiou, Georgios M.; Bis, Joshua C.; Martinez, Maria; Perlmutter, Joel S.; Goate, Alison; Marder, Karen; Fiske, Brian; Sutherland, Margaret; Xiromerisiou, Georgia; Myers, Richard H.; Clark, Lorraine N.; Stefansson, Kari; Hardy, John A.; Heutink, Peter; Chen, Honglei; Wood, Nicholas W.; Houlden, Henry; Payami, Haydeh; Brice, Alexis; Scott, William K.; Gasser, Thomas; Bertram, Lars; Eriksson, Nicholas; Foroud, Tatiana; Singleton, Andrew B.; Plagnol, Vincent; Sheerin, Una-Marie; Simón-Sánchez, Javier; Lesage, Suzanne; Sveinbjörnsdóttir, Sigurlaug; Barker, Roger; Ben-Shlomo, Yoav; Berendse, Henk W.; Berg, Daniela; Bhatia, Kailash; de Bie, Rob M. A.; Biffi, Alessandro; Bloem, Bas; Bochdanovits, Zoltan; Bonin, Michael; Bras, Jose M.; Brockmann, Kathrin; Brooks, Janet; Burn, David J.; Charlesworth, Gavin; Chinnery, Patrick F.; Chong, Sean; Clarke, Carl E.; Cookson, Mark R.; Cooper, J. Mark; Corvol, Jean Christophe; Counsell, Carl; Damier, Philippe; Dartigues, Jean-François; Deloukas, Panos; Deuschl, Günther; Dexter, David T.; van Dijk, Karin D.; Dillman, Allissa; Durif, Frank; Dürr, Alexandra; Edkins, Sarah; Evans, Jonathan R.; Foltynie, Thomas; Dong, Jing; Gardner, Michelle; Gibbs, J. Raphael; Gray, Emma; Guerreiro, Rita; Harris, Clare; van Hilten, Jacobus J.; Hofman, Albert; Hollenbeck, Albert; Holton, Janice; Hu, Michele; Huang, Xuemei; Wurster, Isabel; Mätzler, Walter; Hudson, Gavin; Hunt, Sarah E.; Huttenlocher, Johanna; Illig, Thomas; Jónsson, Pálmi V.; Lambert, Jean-Charles; Langford, Cordelia; Lees, Andrew; Lichtner, Peter; Limousin, Patricia; Lopez, Grisel; Lorenz, Delia; McNeill, Alisdair; Moorby, Catriona; Moore, Matthew; Morris, Huw R.; Morrison, Karen E.; Mudanohwo, Ese; O'Sullivan, Sean S.; Pearson, Justin; Pétursson, Hjörvar; Pollak, Pierre; Post, Bart; Potter, Simon; Ravina, Bernard; Revesz, Tamas; Riess, Olaf; Rivadeneira, Fernando; Rizzu, Patrizia; Ryten, Mina; Sawcer, Stephen; Schapira, Anthony; Scheffer, Hans; Shaw, Karen; Shoulson, Ira; Sidransky, Ellen; Smith, Colin; Spencer, Chris C. A.; Stefánsson, Hreinn; Bettella, Francesco; Stockton, Joanna D.; Strange, Amy; Talbot, Kevin; Tanner, Carlie M.; Tashakkori-Ghanbaria, Avazeh; Tison, François; Trabzuni, Daniah; Traynor, Bryan J.; Uitterlinden, André G.; Velseboer, Daan; Vidailhet, Marie; Walker, Robert; van de Warrenburg, Bart; Wickremaratchi, Mirdhu; Williams, Nigel; Williams-Gray, Caroline H.; Winder-Rhodes, Sophie; Stefánsson, Kári; Hardy, John; Factor, S.; Higgins, D.; Evans, S.; Shill, H.; Stacy, M.; Danielson, J.; Marlor, L.; Williamson, K.; Jankovic, J.; Hunter, C.; Simon, D.; Ryan, P.; Scollins, L.; Saunders-Pullman, R.; Boyar, K.; Costan-Toth, C.; Ohmann, E.; Sudarsky, L.; Joubert, C.; Friedman, J.; Chou, K.; Fernandez, H.; Lannon, M.; Galvez-Jimenez, N.; Podichetty, A.; Thompson, K.; Lewitt, P.; Deangelis, M.; O'Brien, C.; Seeberger, L.; Dingmann, C.; Judd, D.; Marder, K.; Fraser, J.; Harris, J.; Bertoni, J.; Peterson, C.; Rezak, M.; Medalle, G.; Chouinard, S.; Panisset, M.; Hall, J.; Poiffaut, H.; Calabrese, V.; Roberge, P.; Wojcieszek, J.; Belden, J.; Jennings, D.; Marek, K.; Mendick, S.; Reich, S.; Dunlop, B.; Jog, M.; Horn, C.; Uitti, R.; Turk, M.; Ajax, T.; Mannetter, J.; Sethi, K.; Carpenter, J.; Dill, B.; Hatch, L.; Ligon, K.; Narayan, S.; Blindauer, K.; Abou-Samra, K.; Petit, J.; Elmer, L.; Aiken, E.; Davis, K.; Schell, C.; Wilson, S.; Velickovic, M.; Koller, W.; Phipps, S.; Feigin, A.; Gordon, M.; Hamann, J.; Licari, E.; Marotta-Kollarus, M.; Shannon, B.; Winnick, R.; Simuni, T.; Videnovic, A.; Kaczmarek, A.; Williams, K.; Wolff, M.; Rao, J.; Cook, M.; Fernandez, M.; Kostyk, S.; Hubble, J.; Campbell, A.; Reider, C.; Seward, A.; Camicioli, R.; Carter, J.; Nutt, J.; Andrews, P.; Morehouse, S.; Stone, C.; Mendis, T.; Grimes, D.; Alcorn-Costa, C.; Gray, P.; Haas, K.; Vendette, J.; Sutton, J.; Hutchinson, B.; Young, J.; Rajput, A.; Klassen, L.; Shirley, T.; Manyam, B.; Simpson, P.; Whetteckey, J.; Wulbrecht, B.; Truong, D.; Pathak, M.; Frei, K.; Luong, N.; Tra, T.; Tran, A.; Vo, J.; Lang, A.; Kleiner- Fisman, G.; Nieves, A.; Johnston, L.; So, J.; Podskalny, G.; Giffin, L.; Atchison, P.; Allen, C.; Martin, W.; Wieler, M.; Suchowersky, O.; Furtado, S.; Klimek, M.; Hermanowicz, N.; Niswonger, S.; Shults, C.; Fontaine, D.; Aminoff, M.; Christine, C.; Diminno, M.; Hevezi, J.; Dalvi, A.; Kang, U.; Richman, J.; Uy, S.; Sahay, A.; Gartner, M.; Schwieterman, D.; Hall, D.; Leehey, M.; Culver, S.; Derian, T.; Demarcaida, T.; Thurlow, S.; Rodnitzky, R.; Dobson, J.; Lyons, K.; Pahwa, R.; Gales, T.; Thomas, S.; Shulman, L.; Weiner, W.; Dustin, K.; Singer, C.; Zelaya, L.; Tuite, P.; Hagen, V.; Rolandelli, S.; Schacherer, R.; Kosowicz, J.; Gordon, P.; Werner, J.; Serrano, C.; Roque, S.; Kurlan, R.; Berry, D.; Gardiner, I.; Hauser, R.; Sanchez-Ramos, J.; Zesiewicz, T.; Delgado, H.; Price, K.; Rodriguez, P.; Wolfrath, S.; Pfeiffer, R.; Davis, L.; Pfeiffer, B.; Dewey, R.; Hayward, B.; Johnson, A.; Meacham, M.; Estes, B.; Walker, F.; Hunt, V.; O'Neill, C.; Racette, B.; Swisher, L.; Dijamco, Cheri; Conley, Emily Drabant; Dorfman, Elizabeth; Tung, Joyce Y.; Hinds, David A.; Mountain, Joanna L.; Wojcicki, Anne; Lew, M.; Klein, C.; Golbe, L.; Growdon, J.; Wooten, G. F.; Watts, R.; Guttman, M.; Goldwurm, S.; Saint-Hilaire, M. H.; Baker, K.; Litvan, I.; Nicholson, G.; Nance, M.; Drasby, E.; Isaacson, S.; Burn, D.; Pramstaller, P.; Al-hinti, J.; Moller, A.; Sherman, S.; Roxburgh, R.; Slevin, J.; Perlmutter, J.; Mark, M. H.; Huggins, N.; Pezzoli, G.; Massood, T.; Itin, I.; Corbett, A.; Chinnery, P.; Ostergaard, K.; Snow, B.; Cambi, F.; Kay, D.; Samii, A.; Agarwal, P.; Roberts, J. W.; Higgins, D. S.; Molho, Eric; Rosen, Ami; Montimurro, J.; Martinez, E.; Griffith, A.; Kusel, V.; Yearout, D.; Zabetian, C.; Clark, L. N.; Liu, X.; Lee, J. H.; Taub, R. Cheng; Louis, E. D.; Cote, L. J.; Waters, C.; Ford, B.; Fahn, S.; Vance, Jeffery M.; Beecham, Gary W.; Martin, Eden R.; Nuytemans, Karen; Pericak-Vance, Margaret A.; Haines, Jonathan L.; DeStefano, Anita; Seshadri, Sudha; Choi, Seung Hoan; Frank, Samuel; Psaty, Bruce M.; Rice, Kenneth; Longstreth, W. T.; Ton, Thanh G. N.; Jain, Samay; van Duijn, Cornelia M.; Verlinden, Vincent J.; Koudstaal, Peter J.; Singleton, Andrew; Cookson, Mark; Hernandez, Dena; Nalls, Michael; Zonderman, Alan; Ferrucci, Luigi; Johnson, Robert; Longo, Dan; O'Brien, Richard; Traynor, Bryan; Troncoso, Juan; van der Brug, Marcel; Zielke, Ronald; Weale, Michael; Ramasamy, Adaikalavan; Dardiotis, Efthimios; Tsimourtou, Vana; Spanaki, Cleanthe; Plaitakis, Andreas; Bozi, Maria; Stefanis, Leonidas; Vassilatis, Dimitris; Koutsis, Georgios; Panas, Marios; Lunnon, Katie; Lupton, Michelle; Powell, John; Parkkinen, Laura; Ansorge, Olaf

2014-01-01

We conducted a meta-analysis of Parkinson's disease genome-wide association studies using a common set of 7,893,274 variants across 13,708 cases and 95,282 controls. Twenty-six loci were identified as having genome-wide significant association; these and 6 additional previously reported loci were

Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

NARCIS (Netherlands)

Kottgen, A.; Albrecht, E.; Teumer, A.; Vitart, V.; Krumsiek, J.; Hundertmark, C.; Pistis, G.; Ruggiero, D.; O'Seaghdha, C.M.; Haller, T.; Yang, Q.; Johnson, A.D.; Kutalik, Z.; Smith, A.V.; Shi, J.L.; Struchalin, M.; Middelberg, R.P.S.; Brown, M.J.; Gaffo, A.L.; Pirastu, N.; Li, G.; Hayward, C.; Zemunik, T.; Huffman, J.; Yengo, L.; Zhao, J.H.; Demirkan, A.; Feitosa, M.F.; Liu, X.; Malerba, G.; Lopez, L.M.; van der Harst, P.; Li, X.Z.; Kleber, M.E.; Hicks, A.A.; Nolte, I.M.; Johansson, A.; Murgia, F.; Wild, S.H.; Bakker, S.J.L.; Peden, J.F.; Dehghan, A.; Steri, M.; Tenesa, A.; Lagou, V.; Salo, P.; Mangino, M.; Rose, L.M.; Lehtimaki, T.; Woodward, O.M.; Okada, Y.; Tin, A.; Muller, C.; Oldmeadow, C.; Putku, M.; Czamara, D.; Kraft, P.; Frogheri, L.; Thun, G.A.; Grotevendt, A.; Gislason, G.K.; Harris, T.B.; Launer, L.J.; McArdle, P.; Shuldiner, A.R.; Boerwinkle, E.; Coresh, J.; Schmidt, H.; Schallert, M.; Martin, N.G.; Montgomery, G.W.; Kubo, M.; Nakamura, Y.; Tanaka, T.; Munroe, P.B.; Samani, N.J.; Jacobs, D.R.; Liu, K.; d'Adamo, P.; Ulivi, S.; Rotter, J.I.; Psaty, B.M.; Vollenweider, P.; Waeber, G.; Campbell, S.; Devuyst, O.; Navarro, P.; Kolcic, I.; Hastie, N.; Balkau, B.; Froguel, P.; Esko, T.; Salumets, A.; Khaw, K.T.; Langenberg, C.; Wareham, N.J.; Isaacs, A.; Kraja, A.; Zhang, Q.Y.; Penninx, B.W.J.H.; Smit, J.H.; Bochud, M.; Gieger, C.

2013-01-01

Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with

Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

NARCIS (Netherlands)

Köttgen, Anna; Albrecht, Eva; Teumer, Alexander; Vitart, Veronique; Krumsiek, Jan; Hundertmark, Claudia; Pistis, Giorgio; Ruggiero, Daniela; O'Seaghdha, Conall M; Haller, Toomas; Yang, Qiong; Tanaka, Toshiko; Johnson, Andrew D; Kutalik, Zoltán; Smith, Albert V; Shi, Julia; Struchalin, Maksim; Middelberg, Rita P S; Brown, Morris J; Gaffo, Angelo L; Pirastu, Nicola; Li, Guo; Hayward, Caroline; Zemunik, Tatijana; Huffman, Jennifer; Yengo, Loic; Zhao, Jing Hua; Demirkan, Ayse; Feitosa, Mary F; Liu, Xuan; Malerba, Giovanni; Lopez, Lorna M; van der Harst, Pim; Li, Xinzhong; Kleber, Marcus E; Hicks, Andrew A; Nolte, Ilja M; Johansson, Asa; Murgia, Federico; Bakker, Stephan J L; Lagou, Vasiliki; Bruinenberg, Marcel; Stolk, Ronald P; Penninx, Brenda W; Mateo Leach, Irene; van Gilst, Wiek H; Hillege, Hans L; Wolffenbuttel, Bruce H R; Snieder, Harold; Navis, Gerjan

Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with

Association analysis identifies 65 new breast cancer risk loci.

Science.gov (United States)

Michailidou, Kyriaki; Lindström, Sara; Dennis, Joe; Beesley, Jonathan; Hui, Shirley; Kar, Siddhartha; Lemaçon, Audrey; Soucy, Penny; Glubb, Dylan; Rostamianfar, Asha; Bolla, Manjeet K; Wang, Qin; Tyrer, Jonathan; Dicks, Ed; Lee, Andrew; Wang, Zhaoming; Allen, Jamie; Keeman, Renske; Eilber, Ursula; French, Juliet D; Qing Chen, Xiao; Fachal, Laura; McCue, Karen; McCart Reed, Amy E; Ghoussaini, Maya; Carroll, Jason S; Jiang, Xia; Finucane, Hilary; Adams, Marcia; Adank, Muriel A; Ahsan, Habibul; Aittomäki, Kristiina; Anton-Culver, Hoda; Antonenkova, Natalia N; Arndt, Volker; Aronson, Kristan J; Arun, Banu; Auer, Paul L; Bacot, François; Barrdahl, Myrto; Baynes, Caroline; Beckmann, Matthias W; Behrens, Sabine; Benitez, Javier; Bermisheva, Marina; Bernstein, Leslie; Blomqvist, Carl; Bogdanova, Natalia V; Bojesen, Stig E; Bonanni, Bernardo; Børresen-Dale, Anne-Lise; Brand, Judith S; Brauch, Hiltrud; Brennan, Paul; Brenner, Hermann; Brinton, Louise; Broberg, Per; Brock, Ian W; Broeks, Annegien; Brooks-Wilson, Angela; Brucker, Sara Y; Brüning, Thomas; Burwinkel, Barbara; Butterbach, Katja; Cai, Qiuyin; Cai, Hui; Caldés, Trinidad; Canzian, Federico; Carracedo, Angel; Carter, Brian D; Castelao, Jose E; Chan, Tsun L; David Cheng, Ting-Yuan; Seng Chia, Kee; Choi, Ji-Yeob; Christiansen, Hans; Clarke, Christine L; Collée, Margriet; Conroy, Don M; Cordina-Duverger, Emilie; Cornelissen, Sten; Cox, David G; Cox, Angela; Cross, Simon S; Cunningham, Julie M; Czene, Kamila; Daly, Mary B; Devilee, Peter; Doheny, Kimberly F; Dörk, Thilo; Dos-Santos-Silva, Isabel; Dumont, Martine; Durcan, Lorraine; Dwek, Miriam; Eccles, Diana M; Ekici, Arif B; Eliassen, A Heather; Ellberg, Carolina; Elvira, Mingajeva; Engel, Christoph; Eriksson, Mikael; Fasching, Peter A; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Flyger, Henrik; Fritschi, Lin; Gaborieau, Valerie; Gabrielson, Marike; Gago-Dominguez, Manuela; Gao, Yu-Tang; Gapstur, Susan M; García-Sáenz, José A; Gaudet, Mia M; Georgoulias, Vassilios; Giles, Graham G; Glendon, Gord; Goldberg, Mark S; Goldgar, David E; González-Neira, Anna; Grenaker Alnæs, Grethe I; Grip, Mervi; Gronwald, Jacek; Grundy, Anne; Guénel, Pascal; Haeberle, Lothar; Hahnen, Eric; Haiman, Christopher A; Håkansson, Niclas; Hamann, Ute; Hamel, Nathalie; Hankinson, Susan; Harrington, Patricia; Hart, Steven N; Hartikainen, Jaana M; Hartman, Mikael; Hein, Alexander; Heyworth, Jane; Hicks, Belynda; Hillemanns, Peter; Ho, Dona N; Hollestelle, Antoinette; Hooning, Maartje J; Hoover, Robert N; Hopper, John L; Hou, Ming-Feng; Hsiung, Chia-Ni; Huang, Guanmengqian; Humphreys, Keith; Ishiguro, Junko; Ito, Hidemi; Iwasaki, Motoki; Iwata, Hiroji; Jakubowska, Anna; Janni, Wolfgang; John, Esther M; Johnson, Nichola; Jones, Kristine; Jones, Michael; Jukkola-Vuorinen, Arja; Kaaks, Rudolf; Kabisch, Maria; Kaczmarek, Katarzyna; Kang, Daehee; Kasuga, Yoshio; Kerin, Michael J; Khan, Sofia; Khusnutdinova, Elza; Kiiski, Johanna I; Kim, Sung-Won; Knight, Julia A; Kosma, Veli-Matti; Kristensen, Vessela N; Krüger, Ute; Kwong, Ava; Lambrechts, Diether; Le Marchand, Loic; Lee, Eunjung; Lee, Min Hyuk; Lee, Jong Won; Neng Lee, Chuen; Lejbkowicz, Flavio; Li, Jingmei; Lilyquist, Jenna; Lindblom, Annika; Lissowska, Jolanta; Lo, Wing-Yee; Loibl, Sibylle; Long, Jirong; Lophatananon, Artitaya; Lubinski, Jan; Luccarini, Craig; Lux, Michael P; Ma, Edmond S K; MacInnis, Robert J; Maishman, Tom; Makalic, Enes; Malone, Kathleen E; Kostovska, Ivana Maleva; Mannermaa, Arto; Manoukian, Siranoush; Manson, JoAnn E; Margolin, Sara; Mariapun, Shivaani; Martinez, Maria Elena; Matsuo, Keitaro; Mavroudis, Dimitrios; McKay, James; McLean, Catriona; Meijers-Heijboer, Hanne; Meindl, Alfons; Menéndez, Primitiva; Menon, Usha; Meyer, Jeffery; Miao, Hui; Miller, Nicola; Taib, Nur Aishah Mohd; Muir, Kenneth; Mulligan, Anna Marie; Mulot, Claire; Neuhausen, Susan L; Nevanlinna, Heli; Neven, Patrick; Nielsen, Sune F; Noh, Dong-Young; Nordestgaard, Børge G; Norman, Aaron; Olopade, Olufunmilayo I; Olson, Janet E; Olsson, Håkan; Olswold, Curtis; Orr, Nick; Pankratz, V Shane; Park, Sue K; Park-Simon, Tjoung-Won; Lloyd, Rachel; Perez, Jose I A; Peterlongo, Paolo; Peto, Julian; Phillips, Kelly-Anne; Pinchev, Mila; Plaseska-Karanfilska, Dijana; Prentice, Ross; Presneau, Nadege; Prokofyeva, Darya; Pugh, Elizabeth; Pylkäs, Katri; Rack, Brigitte; Radice, Paolo; Rahman, Nazneen; Rennert, Gadi; Rennert, Hedy S; Rhenius, Valerie; Romero, Atocha; Romm, Jane; Ruddy, Kathryn J; Rüdiger, Thomas; Rudolph, Anja; Ruebner, Matthias; Rutgers, Emiel J T; Saloustros, Emmanouil; Sandler, Dale P; Sangrajrang, Suleeporn; Sawyer, Elinor J; Schmidt, Daniel F; Schmutzler, Rita K; Schneeweiss, Andreas; Schoemaker, Minouk J; Schumacher, Fredrick; Schürmann, Peter; Scott, Rodney J; Scott, Christopher; Seal, Sheila; Seynaeve, Caroline; Shah, Mitul; Sharma, Priyanka; Shen, Chen-Yang; Sheng, Grace; Sherman, Mark E; Shrubsole, Martha J; Shu, Xiao-Ou; Smeets, Ann; Sohn, Christof; Southey, Melissa C; Spinelli, John J; Stegmaier, Christa; Stewart-Brown, Sarah; Stone, Jennifer; Stram, Daniel O; Surowy, Harald; Swerdlow, Anthony; Tamimi, Rulla; Taylor, Jack A; Tengström, Maria; Teo, Soo H; Beth Terry, Mary; Tessier, Daniel C; Thanasitthichai, Somchai; Thöne, Kathrin; Tollenaar, Rob A E M; Tomlinson, Ian; Tong, Ling; Torres, Diana; Truong, Thérèse; Tseng, Chiu-Chen; Tsugane, Shoichiro; Ulmer, Hans-Ulrich; Ursin, Giske; Untch, Michael; Vachon, Celine; van Asperen, Christi J; Van Den Berg, David; van den Ouweland, Ans M W; van der Kolk, Lizet; van der Luijt, Rob B; Vincent, Daniel; Vollenweider, Jason; Waisfisz, Quinten; Wang-Gohrke, Shan; Weinberg, Clarice R; Wendt, Camilla; Whittemore, Alice S; Wildiers, Hans; Willett, Walter; Winqvist, Robert; Wolk, Alicja; Wu, Anna H; Xia, Lucy; Yamaji, Taiki; Yang, Xiaohong R; Har Yip, Cheng; Yoo, Keun-Young; Yu, Jyh-Cherng; Zheng, Wei; Zheng, Ying; Zhu, Bin; Ziogas, Argyrios; Ziv, Elad; Lakhani, Sunil R; Antoniou, Antonis C; Droit, Arnaud; Andrulis, Irene L; Amos, Christopher I; Couch, Fergus J; Pharoah, Paul D P; Chang-Claude, Jenny; Hall, Per; Hunter, David J; Milne, Roger L; García-Closas, Montserrat; Schmidt, Marjanka K; Chanock, Stephen J; Dunning, Alison M; Edwards, Stacey L; Bader, Gary D; Chenevix-Trench, Georgia; Simard, Jacques; Kraft, Peter; Easton, Douglas F

2017-11-02

Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P < 5 × 10 -8 . The majority of credible risk single-nucleotide polymorphisms in these loci fall in distal regulatory elements, and by integrating in silico data to predict target genes in breast cells at each locus, we demonstrate a strong overlap between candidate target genes and somatic driver genes in breast tumours. We also find that heritability of breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores for individualized screening and prevention.

A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

DEFF Research Database (Denmark)

Al Olama, Ali Amin; Kote-Jarai, Zsofia; Berndt, Sonja I

2014-01-01

Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer...

Genome-wide methylation analysis identifies differentially methylated CpG loci associated with severe obesity in childhood.

Science.gov (United States)

Huang, R C; Garratt, E S; Pan, H; Wu, Y; Davis, E A; Barton, S J; Burdge, G C; Godfrey, K M; Holbrook, J D; Lillycrop, K A

2015-01-01

Childhood obesity is a major public health issue. Here we investigated whether differential DNA methylation was associated with childhood obesity. We studied DNA methylation profiles in whole blood from 78 obese children (mean BMI Z-score: 2.6) and 71 age- and sex-matched controls (mean BMI Z-score: 0.1). DNA samples from obese and control groups were pooled and analyzed using the Infinium HumanMethylation450 BeadChip array. Comparison of the methylation profiles between obese and control subjects revealed 129 differentially methylated CpG (DMCpG) loci associated with 80 unique genes that had a greater than 10% difference in methylation (P-value obesity were validated using sodium bisulfite pyrosequencing across loci within the FYN, PIWIL4, and TAOK3 genes in individual subjects. Three CpG loci within FYN were hypermethylated in obese individuals (all P obesity was associated with lower methylation of CpG loci within PIWIL4 (P = 0.003) and TAOK3 (P = 0.001). After building logistic regression models, we determined that a 1% increase in methylation in TAOK3, multiplicatively decreased the odds of being obese by 0.91 (95% CI: 0.86 - 0.97), and an increase of 1% methylation in FYN CpG3, multiplicatively increased the odds of being obese by 1.03 (95% CI: 0.99 - 1.07). In conclusion, these findings provide evidence that childhood obesity is associated with specific DNA methylation changes in whole blood, which may have utility as biomarkers of obesity risk.

Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality.

Directory of Open Access Journals (Sweden)

Johannes Raffler

2015-09-01

Full Text Available Genome-wide association studies with metabolic traits (mGWAS uncovered many genetic variants that influence human metabolism. These genetically influenced metabotypes (GIMs contribute to our metabolic individuality, our capacity to respond to environmental challenges, and our susceptibility to specific diseases. While metabolic homeostasis in blood is a well investigated topic in large mGWAS with over 150 known loci, metabolic detoxification through urinary excretion has only been addressed by few small mGWAS with only 11 associated loci so far. Here we report the largest mGWAS to date, combining targeted and non-targeted 1H NMR analysis of urine samples from 3,861 participants of the SHIP-0 cohort and 1,691 subjects of the KORA F4 cohort. We identified and replicated 22 loci with significant associations with urinary traits, 15 of which are new (HIBCH, CPS1, AGXT, XYLB, TKT, ETNPPL, SLC6A19, DMGDH, SLC36A2, GLDC, SLC6A13, ACSM3, SLC5A11, PNMT, SLC13A3. Two-thirds of the urinary loci also have a metabolite association in blood. For all but one of the 6 loci where significant associations target the same metabolite in blood and urine, the genetic effects have the same direction in both fluids. In contrast, for the SLC5A11 locus, we found increased levels of myo-inositol in urine whereas mGWAS in blood reported decreased levels for the same genetic variant. This might indicate less effective re-absorption of myo-inositol in the kidneys of carriers. In summary, our study more than doubles the number of known loci that influence urinary phenotypes. It thus allows novel insights into the relationship between blood homeostasis and its regulation through excretion. The newly discovered loci also include variants previously linked to chronic kidney disease (CPS1, SLC6A13, pulmonary hypertension (CPS1, and ischemic stroke (XYLB. By establishing connections from gene to disease via metabolic traits our results provide novel hypotheses about molecular

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Science.gov (United States)

Berndt, Sonja I.; Gustafsson, Stefan; Mägi, Reedik; Ganna, Andrea; Wheeler, Eleanor; Feitosa, Mary F.; Justice, Anne E.; Monda, Keri L.; Croteau-Chonka, Damien C.; Day, Felix R.; Esko, Tõnu; Fall, Tove; Ferreira, Teresa; Gentilini, Davide; Jackson, Anne U.; Luan, Jian’an; Randall, Joshua C.; Vedantam, Sailaja; Willer, Cristen J.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Hu, Yi-Juan; Lee, Sang Hong; Liang, Liming; Lin, Dan-Yu; Min, Josine L.; Neale, Benjamin M.; Thorleifsson, Gudmar; Yang, Jian; Albrecht, Eva; Amin, Najaf; Bragg-Gresham, Jennifer L.; Cadby, Gemma; den Heijer, Martin; Eklund, Niina; Fischer, Krista; Goel, Anuj; Hottenga, Jouke-Jan; Huffman, Jennifer E.; Jarick, Ivonne; Johansson, Åsa; Johnson, Toby; Kanoni, Stavroula; Kleber, Marcus E.; König, Inke R.; Kristiansson, Kati; Kutalik, Zoltán; Lamina, Claudia; Lecoeur, Cecile; Li, Guo; Mangino, Massimo; McArdle, Wendy L.; Medina-Gomez, Carolina; Müller-Nurasyid, Martina; Ngwa, Julius S.; Nolte, Ilja M.; Paternoster, Lavinia; Pechlivanis, Sonali; Perola, Markus; Peters, Marjolein J.; Preuss, Michael; Rose, Lynda M.; Shi, Jianxin; Shungin, Dmitry; Smith, Albert Vernon; Strawbridge, Rona J.; Surakka, Ida; Teumer, Alexander; Trip, Mieke D.; Tyrer, Jonathan; Van Vliet-Ostaptchouk, Jana V.; Vandenput, Liesbeth; Waite, Lindsay L.; Zhao, Jing Hua; Absher, Devin; Asselbergs, Folkert W.; Atalay, Mustafa; Attwood, Antony P.; Balmforth, Anthony J.; Basart, Hanneke; Beilby, John; Bonnycastle, Lori L.; Brambilla, Paolo; Bruinenberg, Marcel; Campbell, Harry; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Connell, John M.; Cookson, William; de Faire, Ulf; de Vegt, Femmie; Dei, Mariano; Dimitriou, Maria; Edkins, Sarah; Estrada, Karol; Evans, David M.; Farrall, Martin; Ferrario, Marco M.; Ferrières, Jean; Franke, Lude; Frau, Francesca; Gejman, Pablo V.; Grallert, Harald; Grönberg, Henrik; Gudnason, Vilmundur; Hall, Alistair S.; Hall, Per; Hartikainen, Anna-Liisa; Hayward, Caroline; Heard-Costa, Nancy L.; Heath, Andrew C.; Hebebrand, Johannes; Homuth, Georg; Hu, Frank B.; Hunt, Sarah E.; Hyppönen, Elina; Iribarren, Carlos; Jacobs, Kevin B.; Jansson, John-Olov; Jula, Antti; Kähönen, Mika; Kathiresan, Sekar; Kee, Frank; Khaw, Kay-Tee; Kivimaki, Mika; Koenig, Wolfgang; Kraja, Aldi T.; Kumari, Meena; Kuulasmaa, Kari; Kuusisto, Johanna; Laitinen, Jaana H.; Lakka, Timo A.; Langenberg, Claudia; Launer, Lenore J.; Lind, Lars; Lindström, Jaana; Liu, Jianjun; Liuzzi, Antonio; Lokki, Marja-Liisa; Lorentzon, Mattias; Madden, Pamela A.; Magnusson, Patrik K.; Manunta, Paolo; Marek, Diana; März, Winfried; Mateo Leach, Irene; McKnight, Barbara; Medland, Sarah E.; Mihailov, Evelin; Milani, Lili; Montgomery, Grant W.; Mooser, Vincent; Mühleisen, Thomas W.; Munroe, Patricia B.; Musk, Arthur W.; Narisu, Narisu; Navis, Gerjan; Nicholson, George; Nohr, Ellen A.; Ong, Ken K.; Oostra, Ben A.; Palmer, Colin N.A.; Palotie, Aarno; Peden, John F.; Pedersen, Nancy; Peters, Annette; Polasek, Ozren; Pouta, Anneli; Pramstaller, Peter P.; Prokopenko, Inga; Pütter, Carolin; Radhakrishnan, Aparna; Raitakari, Olli; Rendon, Augusto; Rivadeneira, Fernando; Rudan, Igor; Saaristo, Timo E.; Sambrook, Jennifer G.; Sanders, Alan R.; Sanna, Serena; Saramies, Jouko; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Shin, So-Youn; Signorini, Stefano; Sinisalo, Juha; Skrobek, Boris; Soranzo, Nicole; Stančáková, Alena; Stark, Klaus; Stephens, Jonathan C.; Stirrups, Kathleen; Stolk, Ronald P.; Stumvoll, Michael; Swift, Amy J.; Theodoraki, Eirini V.; Thorand, Barbara; Tregouet, David-Alexandre; Tremoli, Elena; Van der Klauw, Melanie M.; van Meurs, Joyce B.J.; Vermeulen, Sita H.; Viikari, Jorma; Virtamo, Jarmo; Vitart, Veronique; Waeber, Gérard; Wang, Zhaoming; Widén, Elisabeth; Wild, Sarah H.; Willemsen, Gonneke; Winkelmann, Bernhard R.; Witteman, Jacqueline C.M.; Wolffenbuttel, Bruce H.R.; Wong, Andrew; Wright, Alan F.; Zillikens, M. Carola; Amouyel, Philippe; Boehm, Bernhard O.; Boerwinkle, Eric; Boomsma, Dorret I.; Caulfield, Mark J.; Chanock, Stephen J.; Cupples, L. Adrienne; Cusi, Daniele; Dedoussis, George V.; Erdmann, Jeanette; Eriksson, Johan G.; Franks, Paul W.; Froguel, Philippe; Gieger, Christian; Gyllensten, Ulf; Hamsten, Anders; Harris, Tamara B.; Hengstenberg, Christian; Hicks, Andrew A.; Hingorani, Aroon; Hinney, Anke; Hofman, Albert; Hovingh, Kees G.; Hveem, Kristian; Illig, Thomas; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Kuh, Diana; Laakso, Markku; Lehtimäki, Terho; Levinson, Douglas F.; Martin, Nicholas G.; Metspalu, Andres; Morris, Andrew D.; Nieminen, Markku S.; Njølstad, Inger; Ohlsson, Claes; Oldehinkel, Albertine J.; Ouwehand, Willem H.; Palmer, Lyle J.; Penninx, Brenda; Power, Chris; Province, Michael A.; Psaty, Bruce M.; Qi, Lu; Rauramaa, Rainer; Ridker, Paul M.; Ripatti, Samuli; Salomaa, Veikko; Samani, Nilesh J.; Snieder, Harold; Sørensen, Thorkild I.A.; Spector, Timothy D.; Stefansson, Kari; Tönjes, Anke; Tuomilehto, Jaakko; Uitterlinden, André G.; Uusitupa, Matti; van der Harst, Pim; Vollenweider, Peter; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Wichmann, H.-Erich; Wilson, James F.; Abecasis, Goncalo R.; Assimes, Themistocles L.; Barroso, Inês; Boehnke, Michael; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Frayling, Timothy; Groop, Leif C.; Haritunian, Talin; Heid, Iris M.; Hunter, David; Kaplan, Robert C.; Karpe, Fredrik; Moffatt, Miriam; Mohlke, Karen L.; O’Connell, Jeffrey R.; Pawitan, Yudi; Schadt, Eric E.; Schlessinger, David; Steinthorsdottir, Valgerdur; Strachan, David P.; Thorsteinsdottir, Unnur; van Duijn, Cornelia M.; Visscher, Peter M.; Di Blasio, Anna Maria; Hirschhorn, Joel N.; Lindgren, Cecilia M.; Morris, Andrew P.; Meyre, David; Scherag, André; McCarthy, Mark I.; Speliotes, Elizabeth K.; North, Kari E.; Loos, Ruth J.F.; Ingelsson, Erik

2014-01-01

Approaches exploiting extremes of the trait distribution may reveal novel loci for common traits, but it is unknown whether such loci are generalizable to the general population. In a genome-wide search for loci associated with upper vs. lower 5th percentiles of body mass index, height and waist-hip ratio, as well as clinical classes of obesity including up to 263,407 European individuals, we identified four new loci (IGFBP4, H6PD, RSRC1, PPP2R2A) influencing height detected in the tails and seven new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3, ZZZ3) for clinical classes of obesity. Further, we show that there is large overlap in terms of genetic structure and distribution of variants between traits based on extremes and the general population and little etiologic heterogeneity between obesity subgroups. PMID:23563607

GWAS of clinically defined gout and subtypes identifies multiple susceptibility loci that include urate transporter genes.

Science.gov (United States)

Nakayama, Akiyoshi; Nakaoka, Hirofumi; Yamamoto, Ken; Sakiyama, Masayuki; Shaukat, Amara; Toyoda, Yu; Okada, Yukinori; Kamatani, Yoichiro; Nakamura, Takahiro; Takada, Tappei; Inoue, Katsuhisa; Yasujima, Tomoya; Yuasa, Hiroaki; Shirahama, Yuko; Nakashima, Hiroshi; Shimizu, Seiko; Higashino, Toshihide; Kawamura, Yusuke; Ogata, Hiraku; Kawaguchi, Makoto; Ohkawa, Yasuyuki; Danjoh, Inaho; Tokumasu, Atsumi; Ooyama, Keiko; Ito, Toshimitsu; Kondo, Takaaki; Wakai, Kenji; Stiburkova, Blanka; Pavelka, Karel; Stamp, Lisa K; Dalbeth, Nicola; Sakurai, Yutaka; Suzuki, Hiroshi; Hosoyamada, Makoto; Fujimori, Shin; Yokoo, Takashi; Hosoya, Tatsuo; Inoue, Ituro; Takahashi, Atsushi; Kubo, Michiaki; Ooyama, Hiroshi; Shimizu, Toru; Ichida, Kimiyoshi; Shinomiya, Nariyoshi; Merriman, Tony R; Matsuo, Hirotaka

2017-05-01

A genome-wide association study (GWAS) of gout and its subtypes was performed to identify novel gout loci, including those that are subtype-specific. Putative causal association signals from a GWAS of 945 clinically defined gout cases and 1213 controls from Japanese males were replicated with 1396 cases and 1268 controls using a custom chip of 1961 single nucleotide polymorphisms (SNPs). We also first conducted GWASs of gout subtypes. Replication with Caucasian and New Zealand Polynesian samples was done to further validate the loci identified in this study. In addition to the five loci we reported previously, further susceptibility loci were identified at a genome-wide significance level (pgout cases, and NIPAL1 and FAM35A for the renal underexcretion gout subtype. While NIPAL1 encodes a magnesium transporter, functional analysis did not detect urate transport via NIPAL1, suggesting an indirect association with urate handling. Localisation analysis in the human kidney revealed expression of NIPAL1 and FAM35A mainly in the distal tubules, which suggests the involvement of the distal nephron in urate handling in humans. Clinically ascertained male patients with gout and controls of Caucasian and Polynesian ancestries were also genotyped, and FAM35A was associated with gout in all cases. A meta-analysis of the three populations revealed FAM35A to be associated with gout at a genome-wide level of significance (p meta =3.58×10 -8 ). Our findings including novel gout risk loci provide further understanding of the molecular pathogenesis of gout and lead to a novel concept for the therapeutic target of gout/hyperuricaemia. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

A PQL (protein quantity loci) analysis of mature pea seed proteins identifies loci determining seed protein composition.

Science.gov (United States)

Bourgeois, Michael; Jacquin, Françoise; Cassecuelle, Florence; Savois, Vincent; Belghazi, Maya; Aubert, Grégoire; Quillien, Laurence; Huart, Myriam; Marget, Pascal; Burstin, Judith

2011-05-01

Legume seeds are a major source of dietary proteins for humans and animals. Deciphering the genetic control of their accumulation is thus of primary significance towards their improvement. At first, we analysed the genetic variability of the pea seed proteome of three genotypes over 3 years of cultivation. This revealed that seed protein composition variability was under predominant genetic control, with as much as 60% of the spots varying quantitatively among the three genotypes. Then, by combining proteomic and quantitative trait loci (QTL) mapping approaches, we uncovered the genetic architecture of seed proteome variability. Protein quantity loci (PQL) were searched for 525 spots detected on 2-D gels obtained for 157 recombinant inbred lines. Most protein quantity loci mapped in clusters, suggesting that the accumulation of the major storage protein families was under the control of a limited number of loci. While convicilin accumulation was mainly under the control of cis-regulatory regions, vicilins and legumins were controlled by both cis- and trans-regulatory regions. Some loci controlled both seed protein composition and protein content and a locus on LGIIa appears to be a major regulator of protein composition and of protein in vitro digestibility. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis

NARCIS (Netherlands)

Paternoster, Lavinia; Standl, Marie; Waage, Johannes; Baurecht, Hansjoerg; Hotze, Melanie; Strachan, David P.; Curtin, John A.; Bonnelykke, Klaus; Tian, Chao; Takahashi, Atsushi; Esparza-Gordillo, Jorge; Alves, Alexessander Couto; Thyssen, Jacob P.; den Dekker, Herman T.; Ferreira, Manuel A.; Altmaier, Elisabeth; Sleiman, Patrick M. A.; Xiao, Feng Li; Gonzalez, Juan R.; Marenholz, Ingo; Kalb, Birgit; Pino-Yanes, Maria; Xu, Chengjian; Carstensen, Lisbeth; Groen-Blokhuis, Maria M.; Venturini, Cristina; Pennell, Craig E.; Barton, Sheila J.; Levin, Albert M.; Curjuric, Ivan; Bustamante, Mariona; Kreiner-Moller, Eskil; Lockett, Gabrielle A.; Bacelis, Jonas; Bunyavanich, Supinda; Myers, Rachel A.; Matanovic, Anja; Kumar, Ashish; Tung, Joyce Y.; Hirota, Tomomitsu; Kubo, Michiaki; McArdle, Wendy L.; Henderson, A. John; Kemp, John P.; Zheng, Jie; Smith, George Davey; Rueschendorf, Franz; Postma, Dirkje S.; Weiss, Scott T.; Koppelman, Gerard H.

2015-01-01

Genetic association studies have identified 21 loci associated with atopic dermatitis risk predominantly in populations of European ancestry. To identify further susceptibility loci for this common, complex skin disease, we performed a meta-analysis of >15 million genetic variants in 21,399 cases

Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis

DEFF Research Database (Denmark)

Paternoster, Lavinia; Standl, Marie; Waage, Johannes

2015-01-01

Genetic association studies have identified 21 loci associated with atopic dermatitis risk predominantly in populations of European ancestry. To identify further susceptibility loci for this common, complex skin disease, we performed a meta-analysis of >15 million genetic variants in 21,399 cases...

Conditional analysis identifies three novel major histocompatibility complex loci associated with psoriasis.

Science.gov (United States)

Knight, Jo; Spain, Sarah L; Capon, Francesca; Hayday, Adrian; Nestle, Frank O; Clop, Alex; Barker, Jonathan N; Weale, Michael E; Trembath, Richard C

2012-12-01

Psoriasis is a common, chronic, inflammatory skin disorder. A number of genetic loci have been shown to confer risk for psoriasis. Collectively, these offer an integrated model for the inherited basis for susceptibility to psoriasis that combines altered skin barrier function together with the dysregulation of innate immune pathogen sensing and adap-tive immunity. The major histocompatibility complex (MHC) harbours the psoriasis susceptibility region which exhibits the largest effect size, driven in part by variation contained on the HLA-Cw*0602 allele. However, the resolution of the number and genomic location of potential independent risk loci are hampered by extensive linkage disequilibrium across the region. We leveraged the power of large psoriasis case and control data sets and the statistical approach of conditional analysis to identify potential further association signals distributed across the MHC. In addition to the major loci at HLA-C (P = 2.20 × 10(-236)), we observed and replicated four additional independent signals for disease association, three of which are novel. We detected evidence for association at SNPs rs2507971 (P = 6.73 × 10(-14)), rs9260313 (P = 7.93 × 10(-09)), rs66609536 (P = 3.54 × 10(-07)) and rs380924 (P = 6.24 × 10(-06)), located within the class I region of the MHC, with each observation replicated in an independent sample (P ≤ 0.01). The previously identified locus is close to MICA, the other three lie near MICB, HLA-A and HCG9 (a non-coding RNA gene). The identification of disease associations with both MICA and MICB is particularly intriguing, since each encodes an MHC class I-related protein with potent immunological function.

Novel association strategy with copy number variation for identifying new risk Loci of human diseases.

Directory of Open Access Journals (Sweden)

Xianfeng Chen

2010-08-01

Full Text Available Copy number variations (CNV are important causal genetic variations for human disease; however, the lack of a statistical model has impeded the systematic testing of CNVs associated with disease in large-scale cohort.Here, we developed a novel integrated strategy to test CNV-association in genome-wide case-control studies. We converted the single-nucleotide polymorphism (SNP signal to copy number states using a well-trained hidden Markov model. We mapped the susceptible CNV-loci through SNP site-specific testing to cope with the physiological complexity of CNVs. We also ensured the credibility of the associated CNVs through further window-based CNV-pattern clustering. Genome-wide data with seven diseases were used to test our strategy and, in total, we identified 36 new susceptible loci that are associated with CNVs for the seven diseases: 5 with bipolar disorder, 4 with coronary artery disease, 1 with Crohn's disease, 7 with hypertension, 9 with rheumatoid arthritis, 7 with type 1 diabetes and 3 with type 2 diabetes. Fifteen of these identified loci were validated through genotype-association and physiological function from previous studies, which provide further confidence for our results. Notably, the genes associated with bipolar disorder converged in the phosphoinositide/calcium signaling, a well-known affected pathway in bipolar disorder, which further supports that CNVs have impact on bipolar disorder.Our results demonstrated the effectiveness and robustness of our CNV-association analysis and provided an alternative avenue for discovering new associated loci of human diseases.

A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

DEFF Research Database (Denmark)

de Vries, Paul S; Chasman, Daniel I; Sabater-Lleal, Maria

2016-01-01

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. W...

A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

NARCIS (Netherlands)

P.S. de Vries (Paul); D.I. Chasman (Daniel); M. Sabater-Lleal (Maria); M.-H. Chen (Ming-Huei); J.E. Huffman (Jennifer E.); M. Steri (Maristella); W. Tang (Weihong); A. Teumer (Alexander); R.E. Marioni (Riccardo); V. Grossmann (Vera); J.J. Hottenga (Jouke Jan); S. Trompet (Stella); M. Müller-Nurasyid (Martina); J.H. Zhao (Jing Hua); J. Brody (Jennifer); M.E. Kleber (Marcus); X. Guo (Xiuqing); J.J. Wang (Jie Jin); P. Auer (Paul); J. Attia (John); L.R. Yanek (Lisa); T.S. Ahluwalia (Tarunveer Singh); J. Lahti (Jari); C. Venturini (Cristina); T. Tanaka (Toshiko); L.F. Bielak (Lawrence F.); P.K. Joshi (Peter); A. Rocanin-Arjo (Ares); I. Kolcic (Ivana); P. Navarro (Pau); L.M. Rose (Lynda); C. Oldmeadow (Christopher); H. Riess (Helene); J. Mazur (Johanna); S. Basu (Saonli); A. Goel (Anuj); Q. Yang (Qiong); M. Ghanbari (Mohsen); Gonnekewillemsen; A. Rumley (Ann); E. Fiorillo (Edoardo); A.J. de Craen (Anton); A. Grotevendt (Anne); R.A. Scott (Robert); K.D. Taylor (Kent D.); G.E. Delgado (Graciela E.); J. Yao (Jie); A. Kifley (Annette); C. Kooperberg (Charles); Q. Qayyum (Rehan); L. Lopez (Lornam); T.L. Berentzen (Tina L.); K. Räikkönen (Katri); Massimomangino; S. Bandinelli (Stefania); P.A. Peyser (Patricia A.); S. Wild (Sarah); D.-A. Tregouet (David-Alexandre); A.F. Wright (Alan); J. Marten (Jonathan); T. Zemunik (Tatijana); A.C. Morrison (Alanna); B. Sennblad (Bengt); G.H. Tofler (Geoffrey); M.P.M. de Maat (Moniek); E.J.C. de Geus (Eco); G.D. Lowe (Gordon D.); M. Zoledziewska (Magdalena); N. Sattar (Naveed); H. Binder (Harald); U. Völker (Uwe); M. Waldenberger (Melanie); K.-T. Khaw (Kay-Tee); B. McKnight (Barbara); J. Huang (Jian); N.S. Jenny (Nancy); E.G. Holliday (Elizabeth); L. Qi (Lihong); M.G. Mcevoy (Mark G.); D.M. Becker (Diane); J.M. Starr (John); A.-P. Sarin; P.G. Hysi (Pirro); D.G. Hernandez (Dena); M.A. Jhun (Min A.); H. Campbell (Harry); A. Hamsten (Anders); F. Sarin (Fernando); W.L. McArdle (Wendy); P. Eline Slagboom; T. Zeller (Tanja); W. Koenig (Wolfgang); B. Psaty (Brucem); T. Haritunians (Talin); J. Liu (Jingmin); A. Palotie (Aarno); A.G. Uitterlinden (André); D.J. Stott (David J.); A. Hofman (Albert); O.H. Franco (Oscar); O. Polasek (Ozren); I. Rudan (Igor); P.-E. Morange (P.); J.F. Wilson (James F.); S.L. Kardia (Sharon L.r); L. Ferrucci (Luigi); T.D. Spector (Timothy); J.G. Eriksson (Johan G.); T. Hansen (Torben); I.J. Deary (Ian); L.C. Becker (Lewis); R.J. Scott (Rodney); P. Mitchell (Paul); W. März (Winfried); N.J. Wareham (Nick J.); A. Peters (Annette); A. Greinacher (Andreas); P.S. Wild (Philipp S.); J.W. Jukema (Jan Wouter); D.I. Boomsma (Dorret I.); C. Hayward (Caroline); F. Cucca (Francesco); R.P. Tracy (Russell); H. Watkins (Hugh); A.P. Reiner (Alex P.); A.R. Folsom (Aaron); P.M. Ridker (Paul); C.J. O'Donnell (Christopher J.); N.L. Smith (Nicholas L.); D.P. Strachan (David P.); A. Dehghan (Abbas)

2016-01-01

textabstractGenome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes

Application of multi-locus analytical methods to identify interacting loci in case-control studies.

NARCIS (Netherlands)

Vermeulen, S.; Heijer, M. den; Sham, P.; Knight, J.

2007-01-01

To identify interacting loci in genetic epidemiological studies the application of multi-locus methods of analysis is warranted. Several more advanced classification methods have been developed in the past years, including multiple logistic regression, sum statistics, logic regression, and the

Genome-wide association studies identify four ER negative-specific breast cancer risk loci

DEFF Research Database (Denmark)

Garcia-Closas, Montserrat; Couch, Fergus J; Lindstrom, Sara

2013-01-01

differences in genetic predisposition. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls......), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10(-12) and LGR6, P = 1.4 × 10(-8)), 2p24.1 (P = 4.6 × 10(-8)) and 16q12.2 (FTO, P = 4.0 × 10(-8)), were associated with ER-negative but not ER...

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer.

OpenAIRE

Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J; Maranian, Mel J; Bolla, Manjeet K; Wang, Qin; Shah, Mitulkumar Nandlal; Perkins, Barbara J; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S

2015-01-01

Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ~14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of Europea...

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

OpenAIRE

Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Stephen; Canisius, Sander; Dennis, Joe; Lush, Michael; Maranian, Melanie; Bolla, Manjeet; Wang, Qing; Shah, Mitul; Perkins, Barbara; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S.

2015-01-01

textabstractGenome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to wome...

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer.

Science.gov (United States)

Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J; Maranian, Mel J; Bolla, Manjeet K; Wang, Qin; Shah, Mitul; Perkins, Barbara J; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S; Bojesen, Stig E; Nordestgaard, Børge G; Flyger, Henrik; Nielsen, Sune F; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G; Whittemore, Alice S; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Santella, Regina M; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F; Casey, Graham; Hunter, David J; Gapstur, Susan M; Gaudet, Mia M; Diver, W Ryan; Haiman, Christopher A; Schumacher, Fredrick; Henderson, Brian E; Le Marchand, Loic; Berg, Christine D; Chanock, Stephen J; Figueroa, Jonine; Hoover, Robert N; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J; Olson, Janet E; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A; van der Luijt, Rob B; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guénel, Pascal; Truong, Thérèse; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H; Tseng, Chiu-chen; Van Den Berg, David; Stram, Daniel O; González-Neira, Anna; Benitez, Javier; Zamora, M Pilar; Perez, Jose Ignacio Arias; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S; Reed, Malcolm W R; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; Tan, Gie-Hooi; Hooning, Maartje J; Hollestelle, Antoinette; Martens, John W M; Collée, J Margriet; Blot, William; Signorello, Lisa B; Cai, Qiuyin; Hopper, John L; Southey, Melissa C; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N; Nord, Silje; Alnaes, Grethe I Grenaker; Giles, Graham G; Milne, Roger L; McLean, Catriona; Canzian, Federico; Trichopoulos, Dimitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J; Swerdlow, Anthony J; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V; Dörk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Devilee, Peter; Tollenaar, Robert A E M; Seynaeve, Caroline; Van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Slager, Susan; Toland, Amanda E; Ambrosone, Christine B; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S; Tessier, Daniel C; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Alonso, M Rosario; Álvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul P D P; Kraft, Peter; Dunning, Alison M; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F

2015-04-01

Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of European ancestry. We generated genotypes for more than 11 million SNPs by imputation using the 1000 Genomes Project reference panel, and we identified 15 new loci associated with breast cancer at P association analysis with ChIP-seq chromatin binding data in mammary cell lines and ChIA-PET chromatin interaction data from ENCODE, we identified likely target genes in two regions: SETBP1 at 18q12.3 and RNF115 and PDZK1 at 1q21.1. One association appears to be driven by an amino acid substitution encoded in EXO1.

GWAS identifies four novel eosinophilic esophagitis loci

NARCIS (Netherlands)

Sleiman, Patrick M. A.; Wang, Mei-Lun; Cianferoni, Antonella; Aceves, Seema; Gonsalves, Nirmala; Nadeau, Kari; Bredenoord, Albert J.; Furuta, Glenn T.; Spergel, Jonathan M.; Hakonarson, Hakon

2014-01-01

Eosinophilic esophagitis (EoE) is an allergic disorder characterized by infiltration of the oesophagus with eosinophils. We had previously reported association of the TSLP/WDR36 locus with EoE. Here we report genome-wide significant associations at four additional loci; c11orf30 and STAT6, which

Genome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar disorder.

Science.gov (United States)

Chen, D T; Jiang, X; Akula, N; Shugart, Y Y; Wendland, J R; Steele, C J M; Kassem, L; Park, J-H; Chatterjee, N; Jamain, S; Cheng, A; Leboyer, M; Muglia, P; Schulze, T G; Cichon, S; Nöthen, M M; Rietschel, M; McMahon, F J; Farmer, A; McGuffin, P; Craig, I; Lewis, C; Hosang, G; Cohen-Woods, S; Vincent, J B; Kennedy, J L; Strauss, J

2013-02-01

Meta-analyses of bipolar disorder (BD) genome-wide association studies (GWAS) have identified several genome-wide significant signals in European-ancestry samples, but so far account for little of the inherited risk. We performed a meta-analysis of ∼750,000 high-quality genetic markers on a combined sample of ∼14,000 subjects of European and Asian-ancestry (phase I). The most significant findings were further tested in an extended sample of ∼17,700 cases and controls (phase II). The results suggest novel association findings near the genes TRANK1 (LBA1), LMAN2L and PTGFR. In phase I, the most significant single nucleotide polymorphism (SNP), rs9834970 near TRANK1, was significant at the P=2.4 × 10(-11) level, with no heterogeneity. Supportive evidence for prior association findings near ANK3 and a locus on chromosome 3p21.1 was also observed. The phase II results were similar, although the heterogeneity test became significant for several SNPs. On the basis of these results and other established risk loci, we used the method developed by Park et al. to estimate the number, and the effect size distribution, of BD risk loci that could still be found by GWAS methods. We estimate that >63,000 case-control samples would be needed to identify the ∼105 BD risk loci discoverable by GWAS, and that these will together explain <6% of the inherited risk. These results support previous GWAS findings and identify three new candidate genes for BD. Further studies are needed to replicate these findings and may potentially lead to identification of functional variants. Sample size will remain a limiting factor in the discovery of common alleles associated with BD.

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Science.gov (United States)

Scott, Robert A; Lagou, Vasiliki; Welch, Ryan P; Wheeler, Eleanor; Montasser, May E; Luan, Jian’an; Mägi, Reedik; Strawbridge, Rona J; Rehnberg, Emil; Gustafsson, Stefan; Kanoni, Stavroula; Rasmussen-Torvik, Laura J; Yengo, Loïc; Lecoeur, Cecile; Shungin, Dmitry; Sanna, Serena; Sidore, Carlo; Johnson, Paul C D; Jukema, J Wouter; Johnson, Toby; Mahajan, Anubha; Verweij, Niek; Thorleifsson, Gudmar; Hottenga, Jouke-Jan; Shah, Sonia; Smith, Albert V; Sennblad, Bengt; Gieger, Christian; Salo, Perttu; Perola, Markus; Timpson, Nicholas J; Evans, David M; Pourcain, Beate St; Wu, Ying; Andrews, Jeanette S; Hui, Jennie; Bielak, Lawrence F; Zhao, Wei; Horikoshi, Momoko; Navarro, Pau; Isaacs, Aaron; O’Connell, Jeffrey R; Stirrups, Kathleen; Vitart, Veronique; Hayward, Caroline; Esko, Tönu; Mihailov, Evelin; Fraser, Ross M; Fall, Tove; Voight, Benjamin F; Raychaudhuri, Soumya; Chen, Han; Lindgren, Cecilia M; Morris, Andrew P; Rayner, Nigel W; Robertson, Neil; Rybin, Denis; Liu, Ching-Ti; Beckmann, Jacques S; Willems, Sara M; Chines, Peter S; Jackson, Anne U; Kang, Hyun Min; Stringham, Heather M; Song, Kijoung; Tanaka, Toshiko; Peden, John F; Goel, Anuj; Hicks, Andrew A; An, Ping; Müller-Nurasyid, Martina; Franco-Cereceda, Anders; Folkersen, Lasse; Marullo, Letizia; Jansen, Hanneke; Oldehinkel, Albertine J; Bruinenberg, Marcel; Pankow, James S; North, Kari E; Forouhi, Nita G; Loos, Ruth J F; Edkins, Sarah; Varga, Tibor V; Hallmans, Göran; Oksa, Heikki; Antonella, Mulas; Nagaraja, Ramaiah; Trompet, Stella; Ford, Ian; Bakker, Stephan J L; Kong, Augustine; Kumari, Meena; Gigante, Bruna; Herder, Christian; Munroe, Patricia B; Caulfield, Mark; Antti, Jula; Mangino, Massimo; Small, Kerrin; Miljkovic, Iva; Liu, Yongmei; Atalay, Mustafa; Kiess, Wieland; James, Alan L; Rivadeneira, Fernando; Uitterlinden, Andre G; Palmer, Colin N A; Doney, Alex S F; Willemsen, Gonneke; Smit, Johannes H; Campbell, Susan; Polasek, Ozren; Bonnycastle, Lori L; Hercberg, Serge; Dimitriou, Maria; Bolton, Jennifer L; Fowkes, Gerard R; Kovacs, Peter; Lindström, Jaana; Zemunik, Tatijana; Bandinelli, Stefania; Wild, Sarah H; Basart, Hanneke V; Rathmann, Wolfgang; Grallert, Harald; Maerz, Winfried; Kleber, Marcus E; Boehm, Bernhard O; Peters, Annette; Pramstaller, Peter P; Province, Michael A; Borecki, Ingrid B; Hastie, Nicholas D; Rudan, Igor; Campbell, Harry; Watkins, Hugh; Farrall, Martin; Stumvoll, Michael; Ferrucci, Luigi; Waterworth, Dawn M; Bergman, Richard N; Collins, Francis S; Tuomilehto, Jaakko; Watanabe, Richard M; de Geus, Eco J C; Penninx, Brenda W; Hofman, Albert; Oostra, Ben A; Psaty, Bruce M; Vollenweider, Peter; Wilson, James F; Wright, Alan F; Hovingh, G Kees; Metspalu, Andres; Uusitupa, Matti; Magnusson, Patrik K E; Kyvik, Kirsten O; Kaprio, Jaakko; Price, Jackie F; Dedoussis, George V; Deloukas, Panos; Meneton, Pierre; Lind, Lars; Boehnke, Michael; Shuldiner, Alan R; van Duijn, Cornelia M; Morris, Andrew D; Toenjes, Anke; Peyser, Patricia A; Beilby, John P; Körner, Antje; Kuusisto, Johanna; Laakso, Markku; Bornstein, Stefan R; Schwarz, Peter E H; Lakka, Timo A; Rauramaa, Rainer; Adair, Linda S; Smith, George Davey; Spector, Tim D; Illig, Thomas; de Faire, Ulf; Hamsten, Anders; Gudnason, Vilmundur; Kivimaki, Mika; Hingorani, Aroon; Keinanen-Kiukaanniemi, Sirkka M; Saaristo, Timo E; Boomsma, Dorret I; Stefansson, Kari; van der Harst, Pim; Dupuis, Josée; Pedersen, Nancy L; Sattar, Naveed; Harris, Tamara B; Cucca, Francesco; Ripatti, Samuli; Salomaa, Veikko; Mohlke, Karen L; Balkau, Beverley; Froguel, Philippe; Pouta, Anneli; Jarvelin, Marjo-Riitta; Wareham, Nicholas J; Bouatia-Naji, Nabila; McCarthy, Mark I; Franks, Paul W; Meigs, James B; Teslovich, Tanya M; Florez, Jose C; Langenberg, Claudia; Ingelsson, Erik; Prokopenko, Inga; Barroso, Inês

2012-01-01

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have raised the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q fasting insulin showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional follow-up of these newly discovered loci will further improve our understanding of glycemic control. PMID:22885924

Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution

NARCIS (Netherlands)

C.M. Lindgren (Cecilia); I.M. Heid (Iris); J.C. Randall (Joshua); C. Lamina (Claudia); V. Steinthorsdottir (Valgerdur); L. Qi (Lu); E.K. Speliotes (Elizabeth); G. Thorleifsson (Gudmar); C.J. Willer (Cristen); B.M. Herrera (Blanca); A.U. Jackson (Anne); N. Lim (Noha); P. Scheet (Paul); N. Soranzo (Nicole); N. Amin (Najaf); Y.S. Aulchenko (Yurii); J.C. Chambers (John); A. Drong (Alexander); J. Luan; H.N. Lyon (Helen); F. Rivadeneira Ramirez (Fernando); S. Sanna (Serena); N.J. Timpson (Nicholas); M.C. Zillikens (Carola); H.Z. Jing; P. Almgren (Peter); S. Bandinelli (Stefania); A.J. Bennett (Amanda); R.N. Bergman (Richard); L.L. Bonnycastle (Lori); S. Bumpstead (Suzannah); S.J. Chanock (Stephen); L. Cherkas (Lynn); P.S. Chines (Peter); L. Coin (Lachlan); C. Cooper (Charles); G. Crawford (Gabe); A. Doering (Angela); A. Dominiczak (Anna); A.S.F. Doney (Alex); S. Ebrahim (Shanil); P. Elliott (Paul); M.R. Erdos (Michael); K. Estrada Gil (Karol); L. Ferrucci (Luigi); G. Fischer (Guido); N.G. Forouhi (Nita); C. Gieger (Christian); H. Grallert (Harald); C.J. Groves (Christopher); S.M. Grundy (Scott); C. Guiducci (Candace); D. Hadley (David); A. Hamsten (Anders); A.S. Havulinna (Aki); A. Hofman (Albert); R. Holle (Rolf); J.W. Holloway (John); T. Illig (Thomas); B. Isomaa (Bo); L.C. Jacobs (Leonie); K. Jameson (Karen); P. Jousilahti (Pekka); F. Karpe (Fredrik); J. Kuusisto (Johanna); J. Laitinen (Jaana); G.M. Lathrop (Mark); D.A. Lawlor (Debbie); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); M.A. Morken (Mario); A.P. Morris (Andrew); P. Munroe (Patricia); N. Narisu (Narisu); A. Nordström (Anna); B.A. Oostra (Ben); C.N.A. Palmer (Colin); F. Payne (Felicity); J. Peden (John); I. Prokopenko (Inga); F. Renström (Frida); A. Ruokonen (Aimo); V. Salomaa (Veikko); M.S. Sandhu (Manjinder); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); K. Song (Kijoung); X. Yuan (Xin); H.M. Stringham (Heather); A.J. Swift (Amy); T. Tuomi (Tiinamaija); M. Uda (Manuela); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); G.B. Walters (Bragi); M.N. Weedon (Michael); J.C.M. Witteman (Jacqueline); C. Zhang (Cuilin); M. Caulfield (Mark); F.S. Collins (Francis); G.D. Smith; I.N.M. Day (Ian); P.W. Franks (Paul); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.-R. Jarvelin (Marjo-Riitta); A. Kong (Augustine); J.S. Kooner (Jaspal); M. Laakso (Markku); E. Lakatta (Edward); V. Mooser (Vincent); L. Peltonen (Leena Johanna); N.J. Samani (Nilesh); T.D. Spector (Timothy); D.P. Strachan (David); T. Tanaka (Toshiko); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); P. Tikka-Kleemola (Päivi); N.J. Wareham (Nick); H. Watkins (Hugh); D. Waterworth (Dawn); M. Boehnke (Michael); P. Deloukas (Panagiotis); L. Groop (Leif); D.J. Hunter (David); U. Thorsteinsdottir (Unnur); D. Schlessinger (David); H.E. Wichmann (Erich); T.M. Frayling (Timothy); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel); R.J.F. Loos (Ruth); J-A. Zwart (John-Anker); K.L. Mohlke (Karen); I.E. Barroso (Inês); M.I. McCarthy (Mark)

2009-01-01

textabstractTo identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the

Seven newly identified loci for autoimmune thyroid disease.

Science.gov (United States)

Cooper, Jason D; Simmonds, Matthew J; Walker, Neil M; Burren, Oliver; Brand, Oliver J; Guo, Hui; Wallace, Chris; Stevens, Helen; Coleman, Gillian; Franklyn, Jayne A; Todd, John A; Gough, Stephen C L

2012-12-01

Autoimmune thyroid disease (AITD), including Graves' disease (GD) and Hashimoto's thyroiditis (HT), is one of the most common of the immune-mediated diseases. To further investigate the genetic determinants of AITD, we conducted an association study using a custom-made single-nucleotide polymorphism (SNP) array, the ImmunoChip. The SNP array contains all known and genotype-able SNPs across 186 distinct susceptibility loci associated with one or more immune-mediated diseases. After stringent quality control, we analysed 103 875 common SNPs (minor allele frequency >0.05) in 2285 GD and 462 HT patients and 9364 controls. We found evidence for seven new AITD risk loci (P test derived significance threshold), five at locations previously associated and two at locations awaiting confirmation, with other immune-mediated diseases.

Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations.

Directory of Open Access Journals (Sweden)

Ayşe Demirkan

study identified nine novel phospho- and sphingolipid loci, substantially increasing our knowledge of the genetic basis for these traits.

Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

NARCIS (Netherlands)

Cerhan, James R.; Berndt, Sonja I.; Vijai, Joseph; Ghesquières, Hervé; McKay, James; Wang, Sophia S.; Wang, Zhaoming; Yeager, Meredith; Conde, Lucia; De Bakker, Paul I W; Nieters, Alexandra; Cox, David; Burdett, Laurie; Monnereau, Alain; Flowers, Christopher R.; De Roos, Anneclaire J.; Brooks-Wilson, Angela R.; Lan, Qing; Severi, Gianluca; Melbye, Mads; Gu, Jian; Jackson, Rebecca D.; Kane, Eleanor; Teras, Lauren R.; Purdue, Mark P.; Vajdic, Claire M.; Spinelli, John J.; Giles, Graham G.; Albanes, Demetrius; Kelly, Rachel S.; Zucca, Mariagrazia; Bertrand, Kimberly A.; Zeleniuch-Jacquotte, Anne; Lawrence, Charles; Hutchinson, Amy; Zhi, Degui; Habermann, Thomas M.; Link, Brian K.; Novak, Anne J.; Dogan, Ahmet; Asmann, Yan W.; Liebow, Mark; Thompson, Carrie A.; Ansell, Stephen M.; Witzig, Thomas E.; Weiner, George J.; Veron, Amelie S.; Zelenika, Diana; Tilly, Hervé; Haioun, Corinne; Molina, Thierry Jo; Hjalgrim, Henrik; Glimelius, Bengt; Adami, Hans Olov; Bracci, Paige M.; Riby, Jacques; Smith, Martyn T.; Holly, Elizabeth A.; Cozen, Wendy; Hartge, Patricia; Morton, Lindsay M.; Severson, Richard K.; Tinker, Lesley F.; North, Kari E.; Becker, Nikolaus; Benavente, Yolanda; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; Staines, Anthony; Lightfoot, Tracy; Crouch, Simon; Smith, Alex; Roman, Eve; Diver, W. Ryan; Offit, Kenneth; Zelenetz, Andrew; Klein, Robert J.; Villano, Danylo J.; Zheng, Tongzhang; Zhang, Yawei; Holford, Theodore R.; Kricker, Anne; Turner, Jenny; Southey, Melissa C.; Clavel, Jacqueline; Virtamo, Jarmo; Weinstein, Stephanie; Riboli, Elio; Vineis, Paolo; Kaaks, Rudolph; Trichopoulos, Dimitrios; Vermeulen, Roel C H; Boeing, Heiner; Tjonneland, Anne; Angelucci, Emanuele; Di Lollo, Simonetta; Rais, Marco; Birmann, Brenda M.; Laden, Francine; Giovannucci, Edward; Kraft, Peter; Huang, Jinyan; Ma, Baoshan; Ye, Yuanqing; Chiu, Brian C H; Sampson, Joshua; Liang, Liming; Park, Ju Hyun; Chung, Charles C.; Weisenburger, Dennis D.; Chatterjee, Nilanjan; Fraumeni, Joseph F.; Slager, Susan L.; Wu, Xifeng; De Sanjose, Silvia; Smedby, Karin E.; Salles, Gilles; Skibola, Christine F.; Rothman, Nathaniel; Chanock, Stephen J.

2014-01-01

Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of

Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.

Directory of Open Access Journals (Sweden)

Jingjing Liang

2017-05-01

Full Text Available Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25×10-8 for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4 and multiple-trait analyses identified one novel locus (FRMD3 for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained.

Directory of Open Access Journals (Sweden)

Ying Wu

2013-03-01

Full Text Available Genome-wide association studies (GWAS have identified ~100 loci associated with blood lipid levels, but much of the trait heritability remains unexplained, and at most loci the identities of the trait-influencing variants remain unknown. We conducted a trans-ethnic fine-mapping study at 18, 22, and 18 GWAS loci on the Metabochip for their association with triglycerides (TG, high-density lipoprotein cholesterol (HDL-C, and low-density lipoprotein cholesterol (LDL-C, respectively, in individuals of African American (n = 6,832, East Asian (n = 9,449, and European (n = 10,829 ancestry. We aimed to identify the variants with strongest association at each locus, identify additional and population-specific signals, refine association signals, and assess the relative significance of previously described functional variants. Among the 58 loci, 33 exhibited evidence of association at P<1 × 10(-4 in at least one ancestry group. Sequential conditional analyses revealed that ten, nine, and four loci in African Americans, Europeans, and East Asians, respectively, exhibited two or more signals. At these loci, accounting for all signals led to a 1.3- to 1.8-fold increase in the explained phenotypic variance compared to the strongest signals. Distinct signals across ancestry groups were identified at PCSK9 and APOA5. Trans-ethnic analyses narrowed the signals to smaller sets of variants at GCKR, PPP1R3B, ABO, LCAT, and ABCA1. Of 27 variants reported previously to have functional effects, 74% exhibited the strongest association at the respective signal. In conclusion, trans-ethnic high-density genotyping and analysis confirm the presence of allelic heterogeneity, allow the identification of population-specific variants, and limit the number of candidate SNPs for functional studies.

Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

DEFF Research Database (Denmark)

Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G

2011-01-01

Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of st...

A genome-wide association analysis of a broad psychosis phenotype identifies three loci for further investigation

OpenAIRE

Bramon, Elvira; Pirinen, Matti; Strange, Amy; Lin, Kuang; Freeman, Colin; Bellenguez, Céline; Su, Zhan; Band, Gavin; Pearson, Richard; Vukcevic, Damjan; Langford, Cordelia; Deloukas, Panos; Hunt, Sarah; Gray, Emma; Dronov, Serge

2014-01-01

Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories.

Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk

Science.gov (United States)

Lindström, Sara; Thompson, Deborah J.; Paterson, Andrew D.; Li, Jingmei; Gierach, Gretchen L.; Scott, Christopher; Stone, Jennifer; Douglas, Julie A.; dos-Santos-Silva, Isabel; Fernandez-Navarro, Pablo; Verghase, Jajini; Smith, Paula; Brown, Judith; Luben, Robert; Wareham, Nicholas J.; Loos, Ruth J.F.; Heit, John A.; Pankratz, V. Shane; Norman, Aaron; Goode, Ellen L.; Cunningham, Julie M.; deAndrade, Mariza; Vierkant, Robert A.; Czene, Kamila; Fasching, Peter A.; Baglietto, Laura; Southey, Melissa C.; Giles, Graham G.; Shah, Kaanan P.; Chan, Heang-Ping; Helvie, Mark A.; Beck, Andrew H.; Knoblauch, Nicholas W.; Hazra, Aditi; Hunter, David J.; Kraft, Peter; Pollan, Marina; Figueroa, Jonine D.; Couch, Fergus J.; Hopper, John L.; Hall, Per; Easton, Douglas F.; Boyd, Norman F.; Vachon, Celine M.; Tamimi, Rulla M.

2015-01-01

Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,379 women in stage 2. We identify genome-wide significant (P<5×10−8) loci for dense area (AREG, ESR1, ZNF365, LSP1/TNNT3, IGF1, TMEM184B, SGSM3/MKL1), non-dense area (8p11.23) and percent density (PRDM6, 8p11.23, TMEM184B). Four of these regions are known breast cancer susceptibility loci, and four additional regions were found to be associated with breast cancer (P<0.05) in a large meta-analysis. These results provide further evidence of a shared genetic basis between mammographic density and breast cancer and illustrate the power of studying intermediate quantitative phenotypes to identify putative disease susceptibility loci. PMID:25342443

Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks

DEFF Research Database (Denmark)

Demenais, Florence; Margaritte-Jeannin, Patricia; Barnes, Kathleen C

2018-01-01

We examined common variation in asthma risk by conducting a meta-analysis of worldwide asthma genome-wide association studies (23,948 asthma cases, 118,538 controls) of individuals from ethnically diverse populations. We identified five new asthma loci, found two new associations at two known...

Genome-wide association study identifies common loci influencing circulating glycated hemoglobin (HbA1c) levels in non-diabetic subjects

DEFF Research Database (Denmark)

An, Ping; Miljkovic, Iva; Thyagarajan, Bharat

2014-01-01

Glycated hemoglobin (HbA1c) is a stable index of chronic glycemic status and hyperglycemia associated with progressive development of insulin resistance and frank diabetes. It is also associated with premature aging and increased mortality. To uncover novel loci for HbA1c that are associated with...

Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks

NARCIS (Netherlands)

Demenais, Florence; Margaritte-Jeannin, Patricia; Barnes, Kathleen C; Cookson, William O C; Altmüller, Janine; Ang, Wei; Barr, R Graham; Beaty, Terri H; Becker, Allan B; Beilby, John; Bisgaard, Hans; Bjornsdottir, Unnur Steina; Bleecker, Eugene; Bønnelykke, Klaus; Boomsma, Dorret I; Bouzigon, Emmanuelle; Brightling, Christopher E; Brossard, Myriam; Brusselle, Guy G; Burchard, Esteban; Burkart, Kristin M; Bush, Andrew; Chan-Yeung, Moira; Chung, Kian Fan; Couto Alves, Alexessander; Curtin, John A; Custovic, Adnan; Daley, Denise; de Jongste, Johan C; Del-Rio-Navarro, Blanca E; Donohue, Kathleen M; Duijts, Liesbeth; Eng, Celeste; Eriksson, Johan G; Farrall, Martin; Fedorova, Yuliya; Feenstra, Bjarke; Ferreira, Manuel A; Freidin, Maxim B; Gajdos, Zofia; Gauderman, Jim; Gehring, Ulrike; Geller, Frank; Genuneit, Jon; Gharib, Sina A; Gilliland, Frank; Granell, Raquel; Graves, Penelope E; Gudbjartsson, Daniel F; Haahtela, Tari; Heckbert, Susan R; Heederik, Dick; Heinrich, Joachim; Heliövaara, Markku; Henderson, John; Himes, Blanca E; Hirose, Hiroshi; Hirschhorn, Joel N; Hofman, Albert; Holt, Patrick; Hottenga, Jouke; Hudson, Thomas J; Hui, Jennie; Imboden, Medea; Ivanov, Vladimir; Jaddoe, Vincent W V; James, Alan; Janson, Christer; Jarvelin, Marjo-Riitta; Jarvis, Deborah; Jones, Graham; Jonsdottir, Ingileif; Jousilahti, Pekka; Kabesch, Michael; Kähönen, Mika; Kantor, David B; Karunas, Alexandra S; Khusnutdinova, Elza; Koppelman, Gerard H; Kozyrskyj, Anita L; Kreiner, Eskil; Kubo, Michiaki; Kumar, Rajesh; Kumar, Ashish; Kuokkanen, Mikko; Lahousse, Lies; Laitinen, Tarja; Laprise, Catherine; Lathrop, Mark; Lau, Susanne; Lee, Young-Ae; Lehtimäki, Terho; Letort, Sébastien; Levin, Albert M; Li, Guo; Liang, Liming; Loehr, Laura R; London, Stephanie J; Loth, Daan W; Manichaikul, Ani; Marenholz, Ingo; Martinez, Fernando J; Matheson, Melanie C; Mathias, Rasika A; Matsumoto, Kenji; Mbarek, Hamdi; McArdle, Wendy L; Melbye, Mads; Melén, Erik; Meyers, Deborah; Michel, Sven; Mohamdi, Hamida; Musk, Arthur W; Myers, Rachel A; Nieuwenhuis, Maartje A E; Noguchi, Emiko; O'Connor, George T; Ogorodova, Ludmila M; Palmer, Cameron D; Palotie, Aarno; Park, Julie E; Pennell, Craig E; Pershagen, Göran; Polonikov, Alexey; Postma, Dirkje S; Probst-Hensch, Nicole; Puzyrev, Valery P; Raby, Benjamin A; Raitakari, Olli T; Ramasamy, Adaikalavan; Rich, Stephen S; Robertson, Colin F; Romieu, Isabelle; Salam, Muhammad T; Salomaa, Veikko; Schlünssen, Vivi; Scott, Robert; Selivanova, Polina A; Sigsgaard, Torben; Simpson, Angela; Siroux, Valérie; Smith, Lewis J; Solodilova, Maria; Standl, Marie; Stefansson, Kari; Strachan, David P; Stricker, Bruno H; Takahashi, Atsushi; Thompson, Philip J; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Tiesler, Carla M T; Torgerson, Dara G; Tsunoda, Tatsuhiko; Uitterlinden, André G; van der Valk, Ralf J P; Vaysse, Amaury; Vedantam, Sailaja; von Berg, Andrea; von Mutius, Erika; Vonk, Judith M; Waage, Johannes; Wareham, Nick J; Weiss, Scott T; White, Wendy B; Wickman, Magnus; Widén, Elisabeth; Willemsen, Gonneke; Williams, L Keoki; Wouters, Inge M; Yang, James J; Zhao, Jing Hua; Moffatt, Miriam F; Ober, Carole; Nicolae, Dan L

We examined common variation in asthma risk by conducting a meta-analysis of worldwide asthma genome-wide association studies (23,948 asthma cases, 118,538 controls) of individuals from ethnically diverse populations. We identified five new asthma loci, found two new associations at two known asthma

Association analysis identifies 65 new breast cancer risk loci

Science.gov (United States)

Lemaçon, Audrey; Soucy, Penny; Glubb, Dylan; Rostamianfar, Asha; Bolla, Manjeet K.; Wang, Qin; Tyrer, Jonathan; Dicks, Ed; Lee, Andrew; Wang, Zhaoming; Allen, Jamie; Keeman, Renske; Eilber, Ursula; French, Juliet D.; Chen, Xiao Qing; Fachal, Laura; McCue, Karen; McCart Reed, Amy E.; Ghoussaini, Maya; Carroll, Jason; Jiang, Xia; Finucane, Hilary; Adams, Marcia; Adank, Muriel A.; Ahsan, Habibul; Aittomäki, Kristiina; Anton-Culver, Hoda; Antonenkova, Natalia N.; Arndt, Volker; Aronson, Kristan J.; Arun, Banu; Auer, Paul L.; Bacot, François; Barrdahl, Myrto; Baynes, Caroline; Beckmann, Matthias W.; Behrens, Sabine; Benitez, Javier; Bermisheva, Marina; Bernstein, Leslie; Blomqvist, Carl; Bogdanova, Natalia V.; Bojesen, Stig E.; Bonanni, Bernardo; Børresen-Dale, Anne-Lise; Brand, Judith S.; Brauch, Hiltrud; Brennan, Paul; Brenner, Hermann; Brinton, Louise; Broberg, Per; Brock, Ian W.; Broeks, Annegien; Brooks-Wilson, Angela; Brucker, Sara Y.; Brüning, Thomas; Burwinkel, Barbara; Butterbach, Katja; Cai, Qiuyin; Cai, Hui; Caldés, Trinidad; Canzian, Federico; Carracedo, Angel; Carter, Brian D.; Castelao, Jose E.; Chan, Tsun L.; Cheng, Ting-Yuan David; Chia, Kee Seng; Choi, Ji-Yeob; Christiansen, Hans; Clarke, Christine L.; Collée, Margriet; Conroy, Don M.; Cordina-Duverger, Emilie; Cornelissen, Sten; Cox, David G; Cox, Angela; Cross, Simon S.; Cunningham, Julie M.; Czene, Kamila; Daly, Mary B.; Devilee, Peter; Doheny, Kimberly F.; Dörk, Thilo; dos-Santos-Silva, Isabel; Dumont, Martine; Durcan, Lorraine; Dwek, Miriam; Eccles, Diana M.; Ekici, Arif B.; Eliassen, A. Heather; Ellberg, Carolina; Elvira, Mingajeva; Engel, Christoph; Eriksson, Mikael; Fasching, Peter A.; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Flyger, Henrik; Fritschi, Lin; Gaborieau, Valerie; Gabrielson, Marike; Gago-Dominguez, Manuela; Gao, Yu-Tang; Gapstur, Susan M.; García-Sáenz, José A.; Gaudet, Mia M.; Georgoulias, Vassilios; Giles, Graham G.; Glendon, Gord; Goldberg, Mark S.; Goldgar, David E.; González-Neira, Anna; Grenaker Alnæs, Grethe I.; Grip, Mervi; Gronwald, Jacek; Grundy, Anne; Guénel, Pascal; Haeberle, Lothar; Hahnen, Eric; Haiman, Christopher A.; Håkansson, Niclas; Hamann, Ute; Hamel, Nathalie; Hankinson, Susan; Harrington, Patricia; Hart, Steven N.; Hartikainen, Jaana M.; Hartman, Mikael; Hein, Alexander; Heyworth, Jane; Hicks, Belynda; Hillemanns, Peter; Ho, Dona N.; Hollestelle, Antoinette; Hooning, Maartje J.; Hoover, Robert N.; Hopper, John L.; Hou, Ming-Feng; Hsiung, Chia-Ni; Huang, Guanmengqian; Humphreys, Keith; Ishiguro, Junko; Ito, Hidemi; Iwasaki, Motoki; Iwata, Hiroji; Jakubowska, Anna; Janni, Wolfgang; John, Esther M.; Johnson, Nichola; Jones, Kristine; Jones, Michael; Jukkola-Vuorinen, Arja; Kaaks, Rudolf; Kabisch, Maria; Kaczmarek, Katarzyna; Kang, Daehee; Kasuga, Yoshio; Kerin, Michael J.; Khan, Sofia; Khusnutdinova, Elza; Kiiski, Johanna I.; Kim, Sung-Won; Knight, Julia A.; Kosma, Veli-Matti; Kristensen, Vessela N.; Krüger, Ute; Kwong, Ava; Lambrechts, Diether; Marchand, Loic Le; Lee, Eunjung; Lee, Min Hyuk; Lee, Jong Won; Lee, Chuen Neng; Lejbkowicz, Flavio; Li, Jingmei; Lilyquist, Jenna; Lindblom, Annika; Lissowska, Jolanta; Lo, Wing-Yee; Loibl, Sibylle; Long, Jirong; Lophatananon, Artitaya; Lubinski, Jan; Luccarini, Craig; Lux, Michael P.; Ma, Edmond S.K.; MacInnis, Robert J.; Maishman, Tom; Makalic, Enes; Malone, Kathleen E; Kostovska, Ivana Maleva; Mannermaa, Arto; Manoukian, Siranoush; Manson, JoAnn E.; Margolin, Sara; Mariapun, Shivaani; Martinez, Maria Elena; Matsuo, Keitaro; Mavroudis, Dimitrios; McKay, James; McLean, Catriona; Meijers-Heijboer, Hanne; Meindl, Alfons; Menéndez, Primitiva; Menon, Usha; Meyer, Jeffery; Miao, Hui; Miller, Nicola; Mohd Taib, Nur Aishah; Muir, Kenneth; Mulligan, Anna Marie; Mulot, Claire; Neuhausen, Susan L.; Nevanlinna, Heli; Neven, Patrick; Nielsen, Sune F.; Noh, Dong-Young; Nordestgaard, Børge G.; Norman, Aaron; Olopade, Olufunmilayo I.; Olson, Janet E.; Olsson, Håkan; Olswold, Curtis; Orr, Nick; Pankratz, V. Shane; Park, Sue K.; Park-Simon, Tjoung-Won; Lloyd, Rachel; Perez, Jose I.A.; Peterlongo, Paolo; Peto, Julian; Phillips, Kelly-Anne; Pinchev, Mila; Plaseska-Karanfilska, Dijana; Prentice, Ross; Presneau, Nadege; Prokofieva, Darya; Pugh, Elizabeth; Pylkäs, Katri; Rack, Brigitte; Radice, Paolo; Rahman, Nazneen; Rennert, Gadi; Rennert, Hedy S.; Rhenius, Valerie; Romero, Atocha; Romm, Jane; Ruddy, Kathryn J; Rüdiger, Thomas; Rudolph, Anja; Ruebner, Matthias; Rutgers, Emiel J. Th.; Saloustros, Emmanouil; Sandler, Dale P.; Sangrajrang, Suleeporn; Sawyer, Elinor J.; Schmidt, Daniel F.; Schmutzler, Rita K.; Schneeweiss, Andreas; Schoemaker, Minouk J.; Schumacher, Fredrick; Schürmann, Peter; Scott, Rodney J.; Scott, Christopher; Seal, Sheila; Seynaeve, Caroline; Shah, Mitul; Sharma, Priyanka; Shen, Chen-Yang; Sheng, Grace; Sherman, Mark E.; Shrubsole, Martha J.; Shu, Xiao-Ou; Smeets, Ann; Sohn, Christof; Southey, Melissa C.; Spinelli, John J.; Stegmaier, Christa; Stewart-Brown, Sarah; Stone, Jennifer; Stram, Daniel O.; Surowy, Harald; Swerdlow, Anthony; Tamimi, Rulla; Taylor, Jack A.; Tengström, Maria; Teo, Soo H.; Terry, Mary Beth; Tessier, Daniel C.; Thanasitthichai, Somchai; Thöne, Kathrin; Tollenaar, Rob A.E.M.; Tomlinson, Ian; Tong, Ling; Torres, Diana; Truong, Thérèse; Tseng, Chiu-chen; Tsugane, Shoichiro; Ulmer, Hans-Ulrich; Ursin, Giske; Untch, Michael; Vachon, Celine; van Asperen, Christi J.; Van Den Berg, David; van den Ouweland, Ans M.W.; van der Kolk, Lizet; van der Luijt, Rob B.; Vincent, Daniel; Vollenweider, Jason; Waisfisz, Quinten; Wang-Gohrke, Shan; Weinberg, Clarice R.; Wendt, Camilla; Whittemore, Alice S.; Wildiers, Hans; Willett, Walter; Winqvist, Robert; Wolk, Alicja; Wu, Anna H.; Xia, Lucy; Yamaji, Taiki; Yang, Xiaohong R.; Yip, Cheng Har; Yoo, Keun-Young; Yu, Jyh-Cherng; Zheng, Wei; Zheng, Ying; Zhu, Bin; Ziogas, Argyrios; Ziv, Elad; Lakhani, Sunil R.; Antoniou, Antonis C.; Droit, Arnaud; Andrulis, Irene L.; Amos, Christopher I.; Couch, Fergus J.; Pharoah, Paul D.P.; Chang-Claude, Jenny; Hall, Per; Hunter, David J.; Milne, Roger L.; García-Closas, Montserrat; Schmidt, Marjanka K.; Chanock, Stephen J.; Dunning, Alison M.; Edwards, Stacey L.; Bader, Gary D.; Chenevix-Trench, Georgia; Simard, Jacques; Kraft, Peter; Easton, Douglas F.

2017-01-01

Breast cancer risk is influenced by rare coding variants in susceptibility genes such as BRCA1 and many common, mainly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. We report results from a genome-wide association study (GWAS) of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry1. We identified 65 new loci associated with overall breast cancer at pcancer due to all SNPs in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the utility of genetic risk scores for individualized screening and prevention. PMID:29059683

Loci associated with skin pigmentation identified in African populations

Science.gov (United States)

Crawford, Nicholas G.; Kelly, Derek E.; Hansen, Matthew E. B.; Beltrame, Marcia H.; Fan, Shaohua; Bowman, Shanna L.; Jewett, Ethan; Ranciaro, Alessia; Thompson, Simon; Lo, Yancy; Pfeifer, Susanne P.; Jensen, Jeffrey D.; Campbell, Michael C.; Beggs, William; Hormozdiari, Farhad; Mpoloka, Sununguko Wata; Mokone, Gaonyadiwe George; Nyambo, Thomas; Meskel, Dawit Wolde; Belay, Gurja; Haut, Jake; Rothschild, Harriet; Zon, Leonard; Zhou, Yi; Kovacs, Michael A.; Xu, Mai; Zhang, Tongwu; Bishop, Kevin; Sinclair, Jason; Rivas, Cecilia; Elliot, Eugene; Choi, Jiyeon; Li, Shengchao A.; Hicks, Belynda; Burgess, Shawn; Abnet, Christian; Watkins-Chow, Dawn E.; Oceana, Elena; Song, Yun S.; Eskin, Eleazar; Brown, Kevin M.; Marks, Michael S.; Loftus, Stacie K.; Pavan, William J.; Yeager, Meredith; Chanock, Stephen; Tishkoff, Sarah

2017-01-01

Despite the wide range of skin pigmentation in humans, little is known about its genetic basis in global populations. Examining ethnically diverse African genomes, we identify variants in or near SLC24A5, MFSD12, DDB1, TMEM138, OCA2 and HERC2 that are significantly associated with skin pigmentation. Genetic evidence indicates that the light pigmentation variant at SLC24A5 was introduced into East Africa by gene flow from non-Africans. At all other loci, variants associated with dark pigmentation in Africans are identical by descent in southern Asian and Australo-Melanesian populations. Functional analyses indicate that MFSD12 encodes a lysosomal protein that affects melanogenesis in zebrafish and mice, and that mutations in melanocyte-specific regulatory regions near DDB1/TMEM138 correlate with expression of UV response genes under selection in Eurasians. PMID:29025994

Genome-wide association analysis identifies three new risk loci for gout arthritis in Han Chinese

Science.gov (United States)

Li, Changgui; Li, Zhiqiang; Liu, Shiguo; Wang, Can; Han, Lin; Cui, Lingling; Zhou, Jingguo; Zou, Hejian; Liu, Zhen; Chen, Jianhua; Cheng, Xiaoyu; Zhou, Zhaowei; Ding, Chengcheng; Wang, Meng; Chen, Tong; Cui, Ying; He, Hongmei; Zhang, Keke; Yin, Congcong; Wang, Yunlong; Xing, Shichao; Li, Baojie; Ji, Jue; Jia, Zhaotong; Ma, Lidan; Niu, Jiapeng; Xin, Ying; Liu, Tian; Chu, Nan; Yu, Qing; Ren, Wei; Wang, Xuefeng; Zhang, Aiqing; Sun, Yuping; Wang, Haili; Lu, Jie; Li, Yuanyuan; Qing, Yufeng; Chen, Gang; Wang, Yangang; Zhou, Li; Niu, Haitao; Liang, Jun; Dong, Qian; Li, Xinde; Mi, Qing-Sheng; Shi, Yongyong

2015-01-01

Gout is one of the most common types of inflammatory arthritis, caused by the deposition of monosodium urate crystals in and around the joints. Previous genome-wide association studies (GWASs) have identified many genetic loci associated with raised serum urate concentrations. However, hyperuricemia alone is not sufficient for the development of gout arthritis. Here we conduct a multistage GWAS in Han Chinese using 4,275 male gout patients and 6,272 normal male controls (1,255 cases and 1,848 controls were genome-wide genotyped), with an additional 1,644 hyperuricemic controls. We discover three new risk loci, 17q23.2 (rs11653176, P=1.36 × 10−13, BCAS3), 9p24.2 (rs12236871, P=1.48 × 10−10, RFX3) and 11p15.5 (rs179785, P=1.28 × 10−8, KCNQ1), which contain inflammatory candidate genes. Our results suggest that these loci are most likely related to the progression from hyperuricemia to inflammatory gout, which will provide new insights into the pathogenesis of gout arthritis. PMID:25967671

Genome-wide association analysis identifies three new risk loci for gout arthritis in Han Chinese.

Science.gov (United States)

Li, Changgui; Li, Zhiqiang; Liu, Shiguo; Wang, Can; Han, Lin; Cui, Lingling; Zhou, Jingguo; Zou, Hejian; Liu, Zhen; Chen, Jianhua; Cheng, Xiaoyu; Zhou, Zhaowei; Ding, Chengcheng; Wang, Meng; Chen, Tong; Cui, Ying; He, Hongmei; Zhang, Keke; Yin, Congcong; Wang, Yunlong; Xing, Shichao; Li, Baojie; Ji, Jue; Jia, Zhaotong; Ma, Lidan; Niu, Jiapeng; Xin, Ying; Liu, Tian; Chu, Nan; Yu, Qing; Ren, Wei; Wang, Xuefeng; Zhang, Aiqing; Sun, Yuping; Wang, Haili; Lu, Jie; Li, Yuanyuan; Qing, Yufeng; Chen, Gang; Wang, Yangang; Zhou, Li; Niu, Haitao; Liang, Jun; Dong, Qian; Li, Xinde; Mi, Qing-Sheng; Shi, Yongyong

2015-05-13

Gout is one of the most common types of inflammatory arthritis, caused by the deposition of monosodium urate crystals in and around the joints. Previous genome-wide association studies (GWASs) have identified many genetic loci associated with raised serum urate concentrations. However, hyperuricemia alone is not sufficient for the development of gout arthritis. Here we conduct a multistage GWAS in Han Chinese using 4,275 male gout patients and 6,272 normal male controls (1,255 cases and 1,848 controls were genome-wide genotyped), with an additional 1,644 hyperuricemic controls. We discover three new risk loci, 17q23.2 (rs11653176, P=1.36 × 10(-13), BCAS3), 9p24.2 (rs12236871, P=1.48 × 10(-10), RFX3) and 11p15.5 (rs179785, P=1.28 × 10(-8), KCNQ1), which contain inflammatory candidate genes. Our results suggest that these loci are most likely related to the progression from hyperuricemia to inflammatory gout, which will provide new insights into the pathogenesis of gout arthritis.

A Genome-wide Association Analysis of a Broad Psychosis Phenotype Identifies Three Loci for Further Investigation

NARCIS (Netherlands)

Bramon, Elvira; Pirinen, Matti; Strange, Amy; Lin, Kuang; Freeman, Colin; Bellenguez, Celine; Su, Zhan; Band, Gavin; Pearson, Richard; Vukcevic, Damjan; Langford, Cordelia; Deloukas, Panos; Hunt, Sarah; Gray, Emma; Dronov, Serge; Potter, Simon C.; Tashakkori-Ghanbaria, Avazeh; Edkins, Sarah; Bumpstead, Suzannah J.; Arranz, Maria J.; Bakker, Steven; Bender, Stephan; Bruggeman, Richard; Cahn, Wiepke; Chandler, David; Collier, David A.; Crespo-Facorro, Benedicto; Dazzan, Paola; de Haan, Lieuwe; di Forti, Marta; Dragovic, Milan; Giegling, Ina; Hall, Jeremy; Iyegbe, Conrad; Jablensky, Assen; Kahn, Rene S.; Kalaydjieva, Luba; Kravariti, Eugenia; Lawrie, Stephen; Lins-Zen, Don H.; Mata, Ignacio; McDonald, Colm; McIntosh, Andrew; Myin-Germeys, Inez; Ophoff, Roel A.; Pariante, Carmine M.; Paunio, Tiina; Picchioni, Marco; Ripke, Stephan; Wiersma, Durk

2014-01-01

Background: Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. Methods: 1239 cases with schizophrenia, schizoaffective

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Science.gov (United States)

Dupuis, Josée; Langenberg, Claudia; Prokopenko, Inga; Saxena, Richa; Soranzo, Nicole; Jackson, Anne U; Wheeler, Eleanor; Glazer, Nicole L; Bouatia-Naji, Nabila; Gloyn, Anna L; Lindgren, Cecilia M; Mägi, Reedik; Morris, Andrew P; Randall, Joshua; Johnson, Toby; Elliott, Paul; Rybin, Denis; Thorleifsson, Gudmar; Steinthorsdottir, Valgerdur; Henneman, Peter; Grallert, Harald; Dehghan, Abbas; Hottenga, Jouke Jan; Franklin, Christopher S; Navarro, Pau; Song, Kijoung; Goel, Anuj; Perry, John R B; Egan, Josephine M; Lajunen, Taina; Grarup, Niels; Sparsø, Thomas; Doney, Alex; Voight, Benjamin F; Stringham, Heather M; Li, Man; Kanoni, Stavroula; Shrader, Peter; Cavalcanti-Proença, Christine; Kumari, Meena; Qi, Lu; Timpson, Nicholas J; Gieger, Christian; Zabena, Carina; Rocheleau, Ghislain; Ingelsson, Erik; An, Ping; O’Connell, Jeffrey; Luan, Jian'an; Elliott, Amanda; McCarroll, Steven A; Payne, Felicity; Roccasecca, Rosa Maria; Pattou, François; Sethupathy, Praveen; Ardlie, Kristin; Ariyurek, Yavuz; Balkau, Beverley; Barter, Philip; Beilby, John P; Ben-Shlomo, Yoav; Benediktsson, Rafn; Bennett, Amanda J; Bergmann, Sven; Bochud, Murielle; Boerwinkle, Eric; Bonnefond, Amélie; Bonnycastle, Lori L; Borch-Johnsen, Knut; Böttcher, Yvonne; Brunner, Eric; Bumpstead, Suzannah J; Charpentier, Guillaume; Chen, Yii-Der Ida; Chines, Peter; Clarke, Robert; Coin, Lachlan J M; Cooper, Matthew N; Cornelis, Marilyn; Crawford, Gabe; Crisponi, Laura; Day, Ian N M; de Geus, Eco; Delplanque, Jerome; Dina, Christian; Erdos, Michael R; Fedson, Annette C; Fischer-Rosinsky, Antje; Forouhi, Nita G; Fox, Caroline S; Frants, Rune; Franzosi, Maria Grazia; Galan, Pilar; Goodarzi, Mark O; Graessler, Jürgen; Groves, Christopher J; Grundy, Scott; Gwilliam, Rhian; Gyllensten, Ulf; Hadjadj, Samy; Hallmans, Göran; Hammond, Naomi; Han, Xijing; Hartikainen, Anna-Liisa; Hassanali, Neelam; Hayward, Caroline; Heath, Simon C; Hercberg, Serge; Herder, Christian; Hicks, Andrew A; Hillman, David R; Hingorani, Aroon D; Hofman, Albert; Hui, Jennie; Hung, Joe; Isomaa, Bo; Johnson, Paul R V; Jørgensen, Torben; Jula, Antti; Kaakinen, Marika; Kaprio, Jaakko; Kesaniemi, Y Antero; Kivimaki, Mika; Knight, Beatrice; Koskinen, Seppo; Kovacs, Peter; Kyvik, Kirsten Ohm; Lathrop, G Mark; Lawlor, Debbie A; Le Bacquer, Olivier; Lecoeur, Cécile; Li, Yun; Lyssenko, Valeriya; Mahley, Robert; Mangino, Massimo; Manning, Alisa K; Martínez-Larrad, María Teresa; McAteer, Jarred B; McCulloch, Laura J; McPherson, Ruth; Meisinger, Christa; Melzer, David; Meyre, David; Mitchell, Braxton D; Morken, Mario A; Mukherjee, Sutapa; Naitza, Silvia; Narisu, Narisu; Neville, Matthew J; Oostra, Ben A; Orrù, Marco; Pakyz, Ruth; Palmer, Colin N A; Paolisso, Giuseppe; Pattaro, Cristian; Pearson, Daniel; Peden, John F; Pedersen, Nancy L.; Perola, Markus; Pfeiffer, Andreas F H; Pichler, Irene; Polasek, Ozren; Posthuma, Danielle; Potter, Simon C; Pouta, Anneli; Province, Michael A; Psaty, Bruce M; Rathmann, Wolfgang; Rayner, Nigel W; Rice, Kenneth; Ripatti, Samuli; Rivadeneira, Fernando; Roden, Michael; Rolandsson, Olov; Sandbaek, Annelli; Sandhu, Manjinder; Sanna, Serena; Sayer, Avan Aihie; Scheet, Paul; Scott, Laura J; Seedorf, Udo; Sharp, Stephen J; Shields, Beverley; Sigurðsson, Gunnar; Sijbrands, Erik J G; Silveira, Angela; Simpson, Laila; Singleton, Andrew; Smith, Nicholas L; Sovio, Ulla; Swift, Amy; Syddall, Holly; Syvänen, Ann-Christine; Tanaka, Toshiko; Thorand, Barbara; Tichet, Jean; Tönjes, Anke; Tuomi, Tiinamaija; Uitterlinden, André G; van Dijk, Ko Willems; van Hoek, Mandy; Varma, Dhiraj; Visvikis-Siest, Sophie; Vitart, Veronique; Vogelzangs, Nicole; Waeber, Gérard; Wagner, Peter J; Walley, Andrew; Walters, G Bragi; Ward, Kim L; Watkins, Hugh; Weedon, Michael N; Wild, Sarah H; Willemsen, Gonneke; Witteman, Jaqueline C M; Yarnell, John W G; Zeggini, Eleftheria; Zelenika, Diana; Zethelius, Björn; Zhai, Guangju; Zhao, Jing Hua; Zillikens, M Carola; Borecki, Ingrid B; Loos, Ruth J F; Meneton, Pierre; Magnusson, Patrik K E; Nathan, David M; Williams, Gordon H; Hattersley, Andrew T; Silander, Kaisa; Salomaa, Veikko; Smith, George Davey; Bornstein, Stefan R; Schwarz, Peter; Spranger, Joachim; Karpe, Fredrik; Shuldiner, Alan R; Cooper, Cyrus; Dedoussis, George V; Serrano-Ríos, Manuel; Morris, Andrew D; Lind, Lars; Palmer, Lyle J; Hu, Frank B.; Franks, Paul W; Ebrahim, Shah; Marmot, Michael; Kao, W H Linda; Pankow, James S; Sampson, Michael J; Kuusisto, Johanna; Laakso, Markku; Hansen, Torben; Pedersen, Oluf; Pramstaller, Peter Paul; Wichmann, H Erich; Illig, Thomas; Rudan, Igor; Wright, Alan F; Stumvoll, Michael; Campbell, Harry; Wilson, James F; Hamsten, Anders; Bergman, Richard N; Buchanan, Thomas A; Collins, Francis S; Mohlke, Karen L; Tuomilehto, Jaakko; Valle, Timo T; Altshuler, David; Rotter, Jerome I; Siscovick, David S; Penninx, Brenda W J H; Boomsma, Dorret; Deloukas, Panos; Spector, Timothy D; Frayling, Timothy M; Ferrucci, Luigi; Kong, Augustine; Thorsteinsdottir, Unnur; Stefansson, Kari; van Duijn, Cornelia M; Aulchenko, Yurii S; Cao, Antonio; Scuteri, Angelo; Schlessinger, David; Uda, Manuela; Ruokonen, Aimo; Jarvelin, Marjo-Riitta; Waterworth, Dawn M; Vollenweider, Peter; Peltonen, Leena; Mooser, Vincent; Abecasis, Goncalo R; Wareham, Nicholas J; Sladek, Robert; Froguel, Philippe; Watanabe, Richard M; Meigs, James B; Groop, Leif; Boehnke, Michael; McCarthy, Mark I; Florez, Jose C; Barroso, Inês

2010-01-01

Circulating glucose levels are tightly regulated. To identify novel glycemic loci, we performed meta-analyses of 21 genome-wide associations studies informative for fasting glucose (FG), fasting insulin (FI) and indices of β-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 non-diabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with FG/HOMA-B and two associated with FI/HOMA-IR. These include nine new FG loci (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and FAM148B) and one influencing FI/HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB/TMEM195 with type 2 diabetes (T2D). Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify T2D risk loci, as well as loci that elevate FG modestly, but do not cause overt diabetes. PMID:20081858

Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function.

Directory of Open Access Journals (Sweden)

Dana B Hancock

Full Text Available Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1, and its ratio to forced vital capacity (FEV(1/FVC. Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA of single nucleotide polymorphism (SNP and SNP-by-smoking (ever-smoking or pack-years associations on FEV(1 and FEV(1/FVC across 19 studies (total N = 50,047. We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = 5.00×10(-11, HLA-DQB1 and HLA-DQA2 (smallest P(JMA = 4.35×10(-9, and KCNJ2 and SOX9 (smallest P(JMA = 1.28×10(-8 were associated with FEV(1/FVC or FEV(1 in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.

A genome-wide association analysis of a broad psychosis phenotype identifies three loci for further investigation

NARCIS (Netherlands)

Bramon, Elvira; Pirinen, Matti; Strange, Amy; Lin, Kuang; Freeman, Colin; Bellenguez, Céline; Su, Zhan; Band, Gavin; Pearson, Richard; Vukcevic, Damjan; Langford, Cordelia; Deloukas, Panos; Hunt, Sarah; Gray, Emma; Dronov, Serge; Potter, Simon C.; Tashakkori-Ghanbaria, Avazeh; Edkins, Sarah; Bumpstead, Suzannah J.; Arranz, Maria J.; Bakker, Steven; Bender, Stephan; Bruggeman, Richard; Cahn, Wiepke; Chandler, David; Collier, David A.; Crespo-Facorro, Benedicto; Dazzan, Paola; de Haan, Lieuwe; Di Forti, Marta; Dragović, Milan; Giegling, Ina; Hall, Jeremy; Iyegbe, Conrad; Jablensky, Assen; Kahn, René S.; Kalaydjieva, Luba; Kravariti, Eugenia; Lawrie, Stephen; Linszen, Don H.; Mata, Ignacio; McDonald, Colm; McIntosh, Andrew; Myin-Germeys, Inez; Ophoff, Roel A.; Pariante, Carmine M.; Paunio, Tiina; Picchioni, Marco; Ripke, Stephan; Rujescu, Dan

2014-01-01

Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. 1239 cases with schizophrenia, schizoaffective disorder, or psychotic

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

DEFF Research Database (Denmark)

Dupuis, Josée; Langenberg, Claudia; Prokopenko, Inga

2010-01-01

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up...... to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA......2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell...

Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

Science.gov (United States)

Wain, Louise V; Verwoert, Germaine C; O’Reilly, Paul F; Shi, Gang; Johnson, Toby; Johnson, Andrew D; Bochud, Murielle; Rice, Kenneth M; Henneman, Peter; Smith, Albert V; Ehret, Georg B; Amin, Najaf; Larson, Martin G; Mooser, Vincent; Hadley, David; Dörr, Marcus; Bis, Joshua C; Aspelund, Thor; Esko, Tõnu; Janssens, A Cecile JW; Zhao, Jing Hua; Heath, Simon; Laan, Maris; Fu, Jingyuan; Pistis, Giorgio; Luan, Jian’an; Arora, Pankaj; Lucas, Gavin; Pirastu, Nicola; Pichler, Irene; Jackson, Anne U; Webster, Rebecca J; Zhang, Feng; Peden, John F; Schmidt, Helena; Tanaka, Toshiko; Campbell, Harry; Igl, Wilmar; Milaneschi, Yuri; Hotteng, Jouke-Jan; Vitart, Veronique; Chasman, Daniel I; Trompet, Stella; Bragg-Gresham, Jennifer L; Alizadeh, Behrooz Z; Chambers, John C; Guo, Xiuqing; Lehtimäki, Terho; Kühnel, Brigitte; Lopez, Lorna M; Polašek, Ozren; Boban, Mladen; Nelson, Christopher P; Morrison, Alanna C; Pihur, Vasyl; Ganesh, Santhi K; Hofman, Albert; Kundu, Suman; Mattace-Raso, Francesco US; Rivadeneira, Fernando; Sijbrands, Eric JG; Uitterlinden, Andre G; Hwang, Shih-Jen; Vasan, Ramachandran S; Wang, Thomas J; Bergmann, Sven; Vollenweider, Peter; Waeber, Gérard; Laitinen, Jaana; Pouta, Anneli; Zitting, Paavo; McArdle, Wendy L; Kroemer, Heyo K; Völker, Uwe; Völzke, Henry; Glazer, Nicole L; Taylor, Kent D; Harris, Tamara B; Alavere, Helene; Haller, Toomas; Keis, Aime; Tammesoo, Mari-Liis; Aulchenko, Yurii; Barroso, Inês; Khaw, Kay-Tee; Galan, Pilar; Hercberg, Serge; Lathrop, Mark; Eyheramendy, Susana; Org, Elin; Sõber, Siim; Lu, Xiaowen; Nolte, Ilja M; Penninx, Brenda W; Corre, Tanguy; Masciullo, Corrado; Sala, Cinzia; Groop, Leif; Voight, Benjamin F; Melander, Olle; O’Donnell, Christopher J; Salomaa, Veikko; d’Adamo, Adamo Pio; Fabretto, Antonella; Faletra, Flavio; Ulivi, Sheila; Del Greco, M Fabiola; Facheris, Maurizio; Collins, Francis S; Bergman, Richard N; Beilby, John P; Hung, Joseph; Musk, A William; Mangino, Massimo; Shin, So-Youn; Soranzo, Nicole; Watkins, Hugh; Goel, Anuj; Hamsten, Anders; Gider, Pierre; Loitfelder, Marisa; Zeginigg, Marion; Hernandez, Dena; Najjar, Samer S; Navarro, Pau; Wild, Sarah H; Corsi, Anna Maria; Singleton, Andrew; de Geus, Eco JC; Willemsen, Gonneke; Parker, Alex N; Rose, Lynda M; Buckley, Brendan; Stott, David; Orru, Marco; Uda, Manuela; van der Klauw, Melanie M; Zhang, Weihua; Li, Xinzhong; Scott, James; Chen, Yii-Der Ida; Burke, Gregory L; Kähönen, Mika; Viikari, Jorma; Döring, Angela; Meitinger, Thomas; Davies, Gail; Starr, John M; Emilsson, Valur; Plump, Andrew; Lindeman, Jan H; ’t Hoen, Peter AC; König, Inke R; Felix, Janine F; Clarke, Robert; Hopewell, Jemma C; Ongen, Halit; Breteler, Monique; Debette, Stéphanie; DeStefano, Anita L; Fornage, Myriam; Mitchell, Gary F; Smith, Nicholas L; Holm, Hilma; Stefansson, Kari; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Samani, Nilesh J; Preuss, Michael; Rudan, Igor; Hayward, Caroline; Deary, Ian J; Wichmann, H-Erich; Raitakari, Olli T; Palmas, Walter; Kooner, Jaspal S; Stolk, Ronald P; Jukema, J Wouter; Wright, Alan F; Boomsma, Dorret I; Bandinelli, Stefania; Gyllensten, Ulf B; Wilson, James F; Ferrucci, Luigi; Schmidt, Reinhold; Farrall, Martin; Spector, Tim D; Palmer, Lyle J; Tuomilehto, Jaakko; Pfeufer, Arne; Gasparini, Paolo; Siscovick, David; Altshuler, David; Loos, Ruth JF; Toniolo, Daniela; Snieder, Harold; Gieger, Christian; Meneton, Pierre; Wareham, Nicholas J; Oostra, Ben A; Metspalu, Andres; Launer, Lenore; Rettig, Rainer; Strachan, David P; Beckmann, Jacques S; Witteman, Jacqueline CM; Erdmann, Jeanette; van Dijk, Ko Willems; Boerwinkle, Eric; Boehnke, Michael; Ridker, Paul M; Jarvelin, Marjo-Riitta; Chakravarti, Aravinda; Abecasis, Goncalo R; Gudnason, Vilmundur; Newton-Cheh, Christopher; Levy, Daniel; Munroe, Patricia B; Psaty, Bruce M; Caulfield, Mark J; Rao, Dabeeru C

2012-01-01

Numerous genetic loci influence systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans 1-3. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N=74,064) and follow-up studies (N=48,607), we identified at genome-wide significance (P= 2.7×10-8 to P=2.3×10-13) four novel PP loci (at 4q12 near CHIC2/PDGFRAI, 7q22.3 near PIK3CG, 8q24.12 in NOV, 11q24.3 near ADAMTS-8), two novel MAP loci (3p21.31 in MAP4, 10q25.3 near ADRB1) and one locus associated with both traits (2q24.3 near FIGN) which has recently been associated with SBP in east Asians. For three of the novel PP signals, the estimated effect for SBP was opposite to that for DBP, in contrast to the majority of common SBP- and DBP-associated variants which show concordant effects on both traits. These findings indicate novel genetic mechanisms underlying blood pressure variation, including pathways that may differentially influence SBP and DBP. PMID:21909110

Meta-analysis of genome-wide scans for human adult stature identifies novel Loci and associations with measures of skeletal frame size.

Directory of Open Access Journals (Sweden)

Nicole Soranzo

2009-04-01

Full Text Available Recent genome-wide (GW scans have identified several independent loci affecting human stature, but their contribution through the different skeletal components of height is still poorly understood. We carried out a genome-wide scan in 12,611 participants, followed by replication in an additional 7,187 individuals, and identified 17 genomic regions with GW-significant association with height. Of these, two are entirely novel (rs11809207 in CATSPER4, combined P-value = 6.1x10(-8 and rs910316 in TMED10, P-value = 1.4x10(-7 and two had previously been described with weak statistical support (rs10472828 in NPR3, P-value = 3x10(-7 and rs849141 in JAZF1, P-value = 3.2x10(-11. One locus (rs1182188 at GNA12 identifies the first height eQTL. We also assessed the contribution of height loci to the upper- (trunk and lower-body (hip axis and femur skeletal components of height. We find evidence for several loci associated with trunk length (including rs6570507 in GPR126, P-value = 4x10(-5 and rs6817306 in LCORL, P-value = 4x10(-4, hip axis length (including rs6830062 at LCORL, P-value = 4.8x10(-4 and rs4911494 at UQCC, P-value = 1.9x10(-4, and femur length (including rs710841 at PRKG2, P-value = 2.4x10(-5 and rs10946808 at HIST1H1D, P-value = 6.4x10(-6. Finally, we used conditional analyses to explore a possible differential contribution of the height loci to these different skeletal size measurements. In addition to validating four novel loci controlling adult stature, our study represents the first effort to assess the contribution of genetic loci to three skeletal components of height. Further statistical tests in larger numbers of individuals will be required to verify if the height loci affect height preferentially through these subcomponents of height.

GWAS of clinically defined gout and subtypes identifies multiple susceptibility loci that include urate transporter genes

NARCIS (Netherlands)

Nakayama, A.; Nakaoka, H.; Yamamoto, K.; Sakiyama, M.; Shaukat, A.; Toyoda, Y.; Okada, Y.; Kamatani, Y.; Nakamura, T.; Takada, T.; Inoue, K.; Yasujima, T.; Yuasa, H.; Shirahama, Y.; Nakashima, H.; Shimizu, S.; Higashino, T.; Kawamura, Y.; Ogata, H.; Kawaguchi, M.; Ohkawa, Y.; Danjoh, I.; Tokumasu, A.; Ooyama, K.; Ito, T.; Kondo, T.; Wakai, K.; Stiburkova, B.; Pavelka, K.; Stamp, L.K.; Dalbeth, N.; Sakurai, Y.; Suzuki, H; Hosoyamada, M.; Fujimori, S.; Yokoo, T.; Hosoya, T.; Inoue, I.; Takahashi, A.; Kubo, M.; Ooyama, H.; Shimizu, T.; Ichida, K.; Shinomiya, N.; Merriman, T.R.; Matsuo, H.; Andres, M; Joosten, L.A.; Janssen, M.C.H.; Jansen, T.L.; Liote, F.; Radstake, T.R.; Riches, P.L.; So, A.; Tauches, A.K.

2017-01-01

OBJECTIVE: A genome-wide association study (GWAS) of gout and its subtypes was performed to identify novel gout loci, including those that are subtype-specific. METHODS: Putative causal association signals from a GWAS of 945 clinically defined gout cases and 1213 controls from Japanese males were

Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

NARCIS (Netherlands)

Liu, C. (Chunyu); A. Kraja (Aldi); J.A. Smith (Jennifer A); J. Brody (Jennifer); N. Franceschini (Nora); J.C. Bis (Joshua); K.M. Rice (Kenneth); A.C. Morrison (Alanna); Y. Lu (Yingchang); Weiss, S. (Stefan); X. Guo (Xiuqing); W. Palmas (Walter); L.W. Martin (Lisa); Y.D. Chen (Y.); Surendran, P. (Praveen); F. Drenos (Fotios); Cook, J.P. (James P.); P. Auer (Paul); A.Y. Chu (Audrey); Giri, A. (Ayush); Zhao, W. (Wei); M. Jakobsdottir (Margret); Lin, L.-A. (Li-An); J.M. Stafford (Jeanette M.); N. Amin (Najaf); Mei, H. (Hao); J. Yao (Jiefen); J.M. Voorman (Jeanine); M.G. Larson (Martin); M.L. Grove (Megan); A.V. Smith (Albert Vernon); S.J. Hwang; H. Chen (Han); T. Huan (Tianxiao); Kosova, G. (Gulum); N.O. Stitziel (Nathan); S. Kathiresan (Sekar); N.J. Samani (Nilesh); H. Schunkert (Heribert); P. Deloukas (Panagiotis); M. Li (Man); C. Fuchsberger (Christian); C. Pattaro (Cristian); M. Gorski (Mathias); C. Kooperberg (Charles); G. Papanicolaou (George); Rossouw, J.E. (Jacques E.); J.D. Faul (Jessica D.); S.L.R. Kardia (Sharon); C. Bouchard (Claude); L.J. Raffel (Leslie); Uitterlinden, A.G. (André G.); O.H. Franco (Oscar); R. Vasan (Ramachandran); C.J. O'Donnell (Christopher); K.D. Taylor (Kent); K.Y. Liu; E.P. Bottinger (Erwin); R.F. Gottesman (Rebecca); E.W. Daw (E. Warwick); F. Giulianini (Franco); S.K. Ganesh (Santhi); E. Salfati (Elias); T.B. Harris (Tamara); Launer, L.J. (Lenore J.); M. Dörr (Marcus); S.B. Felix (Stephan); R. Rettig (Rainer); H. Völzke (Henry); E. Kim (Eric); W.-J. Lee (Wen-Jane); I.T. Lee; Sheu, W.H.-H. (Wayne H.-H.); Tsosie, K.S. (Krystal S.); Edwards, D.R.V. (Digna R. Velez); Y. Liu (YongMei); Correa, A. (Adolfo); D.R. Weir (David); U. Völker (Uwe); P.M. Ridker (Paul); E.A. Boerwinkle (Eric); V. Gudnason (Vilmundur); A. Reiner (Alexander); Van Duijn, C.M. (Cornelia M.); I.B. Borecki (Ingrid); T.L. Edwards (Todd L.); A. Chakravarti (Aravinda); Rotter, J.I. (Jerome I.); B.M. Psaty (Bruce); R.J.F. Loos (Ruth); M. Fornage (Myriam); G.B. Ehret (Georg); C. Newton-Cheh (Christopher); D. Levy (Daniel); D.I. Chasman (Daniel)

2016-01-01

textabstractMeta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood

Multicenter dizygotic twin cohort study confirms two linkage susceptibility loci for body mass index at 3q29 and 7q36 and identifies three further potential novel loci

DEFF Research Database (Denmark)

Kettunen, J; Perola, M; Martin, N G

2009-01-01

OBJECTIVE: To identify common loci and potential genetic variants affecting body mass index (BMI, kg m(-2)) in study populations originating from Europe. DESIGN: We combined genome-wide linkage scans of six cohorts from Australia, Denmark, Finland, the Netherlands, Sweden and the United Kingdom...... with an approximately 10-cM microsatellite marker map. Variance components linkage analysis was carried out with age, sex and country of origin as covariates. SUBJECTS: The GenomEUtwin consortium consists of twin cohorts from eight countries (Australia, Denmark, the Netherlands, Finland, Italy, Norway, Sweden...... and the United Kingdom) with a total data collection of more than 500,000 monozygotic and dizygotic (DZ) twin pairs. Variance due to early-life events and the environment is reduced within twin pairs, which makes DZ pairs highly valuable for linkage studies of complex traits. This study totaled 4401 European-originated...

Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

DEFF Research Database (Denmark)

Cho, Yoon Shin; Chen, Chien-Hsiun; Hu, Cheng

2012-01-01

We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis...... (5,843 cases and 4,574 controls) and a stage 3 de novo replication analysis (12,284 cases and 13,172 controls). The combined analysis identified eight new T2D loci reaching genome-wide significance, which mapped in or near GLIS3, PEPD, FITM2-R3HDML-HNF4A, KCNK16, MAEA, GCC1-PAX4, PSMD6 and ZFAND3...

Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

DEFF Research Database (Denmark)

Jones, Gregory T; Tromp, Gerard; Kuivaniemi, Helena

2017-01-01

studies (GWAS). Through a meta-analysis of 6 GWAS datasets and a validation study totalling 10,204 cases and 107,766 controls we identified 4 new AAA risk loci: 1q32.3 (SMYD2), 13q12.11 (LINC00540), 20q13.12 (near PCIF1/MMP9/ZNF335), and 21q22.2 (ERG). In various database searches we observed no new...... associations between the lead AAA SNPs and coronary artery disease, blood pressure, lipids or diabetes. Network analyses identified ERG, IL6R and LDLR as modifiers of MMP9, with a direct interaction between ERG and MMP9. The 4 new risk loci for AAA appear to be specific for AAA compared with other...

Loci influencing blood pressure identified using a cardiovascular gene-centric array.

Science.gov (United States)

Ganesh, Santhi K; Tragante, Vinicius; Guo, Wei; Guo, Yiran; Lanktree, Matthew B; Smith, Erin N; Johnson, Toby; Castillo, Berta Almoguera; Barnard, John; Baumert, Jens; Chang, Yen-Pei Christy; Elbers, Clara C; Farrall, Martin; Fischer, Mary E; Franceschini, Nora; Gaunt, Tom R; Gho, Johannes M I H; Gieger, Christian; Gong, Yan; Isaacs, Aaron; Kleber, Marcus E; Mateo Leach, Irene; McDonough, Caitrin W; Meijs, Matthijs F L; Mellander, Olle; Molony, Cliona M; Nolte, Ilja M; Padmanabhan, Sandosh; Price, Tom S; Rajagopalan, Ramakrishnan; Shaffer, Jonathan; Shah, Sonia; Shen, Haiqing; Soranzo, Nicole; van der Most, Peter J; Van Iperen, Erik P A; Van Setten, Jessica; Van Setten, Jessic A; Vonk, Judith M; Zhang, Li; Beitelshees, Amber L; Berenson, Gerald S; Bhatt, Deepak L; Boer, Jolanda M A; Boerwinkle, Eric; Burkley, Ben; Burt, Amber; Chakravarti, Aravinda; Chen, Wei; Cooper-Dehoff, Rhonda M; Curtis, Sean P; Dreisbach, Albert; Duggan, David; Ehret, Georg B; Fabsitz, Richard R; Fornage, Myriam; Fox, Ervin; Furlong, Clement E; Gansevoort, Ron T; Hofker, Marten H; Hovingh, G Kees; Kirkland, Susan A; Kottke-Marchant, Kandice; Kutlar, Abdullah; Lacroix, Andrea Z; Langaee, Taimour Y; Li, Yun R; Lin, Honghuang; Liu, Kiang; Maiwald, Steffi; Malik, Rainer; Murugesan, Gurunathan; Newton-Cheh, Christopher; O'Connell, Jeffery R; Onland-Moret, N Charlotte; Ouwehand, Willem H; Palmas, Walter; Penninx, Brenda W; Pepine, Carl J; Pettinger, Mary; Polak, Joseph F; Ramachandran, Vasan S; Ranchalis, Jane; Redline, Susan; Ridker, Paul M; Rose, Lynda M; Scharnag, Hubert; Schork, Nicholas J; Shimbo, Daichi; Shuldiner, Alan R; Srinivasan, Sathanur R; Stolk, Ronald P; Taylor, Herman A; Thorand, Barbara; Trip, Mieke D; van Duijn, Cornelia M; Verschuren, W Monique; Wijmenga, Cisca; Winkelmann, Bernhard R; Wyatt, Sharon; Young, J Hunter; Boehm, Bernhard O; Caulfield, Mark J; Chasman, Daniel I; Davidson, Karina W; Doevendans, Pieter A; Fitzgerald, Garret A; Gums, John G; Hakonarson, Hakon; Hillege, Hans L; Illig, Thomas; Jarvik, Gail P; Johnson, Julie A; Kastelein, John J P; Koenig, Wolfgang; März, Winfried; Mitchell, Braxton D; Murray, Sarah S; Oldehinkel, Albertine J; Rader, Daniel J; Reilly, Muredach P; Reiner, Alex P; Schadt, Eric E; Silverstein, Roy L; Snieder, Harold; Stanton, Alice V; Uitterlinden, André G; van der Harst, Pim; van der Schouw, Yvonne T; Samani, Nilesh J; Johnson, Andrew D; Munroe, Patricia B; de Bakker, Paul I W; Zhu, Xiaofeng; Levy, Daniel; Keating, Brendan J; Asselbergs, Folkert W

2013-04-15

Blood pressure (BP) is a heritable determinant of risk for cardiovascular disease (CVD). To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP), we genotyped ∼50 000 single-nucleotide polymorphisms (SNPs) that capture variation in ∼2100 candidate genes for cardiovascular phenotypes in 61 619 individuals of European ancestry from cohort studies in the USA and Europe. We identified novel associations between rs347591 and SBP (chromosome 3p25.3, in an intron of HRH1) and between rs2169137 and DBP (chromosome1q32.1 in an intron of MDM4) and between rs2014408 and SBP (chromosome 11p15 in an intron of SOX6), previously reported to be associated with MAP. We also confirmed 10 previously known loci associated with SBP, DBP, MAP or PP (ADRB1, ATP2B1, SH2B3/ATXN2, CSK, CYP17A1, FURIN, HFE, LSP1, MTHFR, SOX6) at array-wide significance (P < 2.4 × 10(-6)). We then replicated these associations in an independent set of 65 886 individuals of European ancestry. The findings from expression QTL (eQTL) analysis showed associations of SNPs in the MDM4 region with MDM4 expression. We did not find any evidence of association of the two novel SNPs in MDM4 and HRH1 with sequelae of high BP including coronary artery disease (CAD), left ventricular hypertrophy (LVH) or stroke. In summary, we identified two novel loci associated with BP and confirmed multiple previously reported associations. Our findings extend our understanding of genes involved in BP regulation, some of which may eventually provide new targets for therapeutic intervention.

Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

DEFF Research Database (Denmark)

Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire

2016-01-01

to ADCY3, GNPDA2, TMEM18, SEC16B, FAIM2, FTO, TFAP2B, TNNI3K, MC4R, GPR61, LMX1B and OLFM4 associated with adult body mass index or childhood obesity. We identified three novel loci: rs13253111 near ELP3, rs8092503 near RAB27B, and rs13387838 near ADAM23. Per additional risk allele, body mass index...

Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease

DEFF Research Database (Denmark)

Lu, Xiangfeng; Peloso, Gina M; Liu, Dajiang J

2017-01-01

Most genome-wide association studies have been of European individuals, even though most genetic variation in humans is seen only in non-European samples. To search for novel loci associated with blood lipid levels and clarify the mechanism of action at previously identified lipid loci, we used a...

Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

DEFF Research Database (Denmark)

Webb, Thomas R; Erdmann, Jeanette; Stirrups, Kathleen E

2017-01-01

%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control...... subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study...

Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk.

Directory of Open Access Journals (Sweden)

Fergus J Couch

Full Text Available BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer, with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8, HR = 1.14, 95% CI: 1.09-1.20. In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 × 10(-8, HR = 1.27, 95% CI: 1.17-1.38 and 4q32.3 (rs4691139, P = 3.4 × 10(-8, HR = 1.20, 95% CI: 1.17-1.38. The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10(-4. These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.

Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes

DEFF Research Database (Denmark)

Imamura, Minako; Takahashi, Atsushi; Yamauchi, Toshimasa

2016-01-01

Genome-wide association studies (GWAS) have identified more than 80 susceptibility loci for type 2 diabetes (T2D), but most of its heritability still remains to be elucidated. In this study, we conducted a meta-analysis of GWAS for T2D in the Japanese population. Combined data from discovery and ...

Genome-wide association study identifies novel breast cancer susceptibility loci

Science.gov (United States)

Easton, Douglas F.; Pooley, Karen A.; Dunning, Alison M.; Pharoah, Paul D. P.; Thompson, Deborah; Ballinger, Dennis G.; Struewing, Jeffery P.; Morrison, Jonathan; Field, Helen; Luben, Robert; Wareham, Nicholas; Ahmed, Shahana; Healey, Catherine S.; Bowman, Richard; Meyer, Kerstin B.; Haiman, Christopher A.; Kolonel, Laurence K.; Henderson, Brian E.; Marchand, Loic Le; Brennan, Paul; Sangrajrang, Suleeporn; Gaborieau, Valerie; Odefrey, Fabrice; Shen, Chen-Yang; Wu, Pei-Ei; Wang, Hui-Chun; Eccles, Diana; Evans, D. Gareth; Peto, Julian; Fletcher, Olivia; Johnson, Nichola; Seal, Sheila; Stratton, Michael R.; Rahman, Nazneen; Chenevix-Trench, Georgia; Bojesen, Stig E.; Nordestgaard, Børge G.; Axelsson, Christen K.; Garcia-Closas, Montserrat; Brinton, Louise; Chanock, Stephen; Lissowska, Jolanta; Peplonska, Beata; Nevanlinna, Heli; Fagerholm, Rainer; Eerola, Hannaleena; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Ahn, Sei-Hyun; Hunter, David J.; Hankinson, Susan E.; Cox, David G.; Hall, Per; Wedren, Sara; Liu, Jianjun; Low, Yen-Ling; Bogdanova, Natalia; Schürmann, Peter; Dörk, Thilo; Tollenaar, Rob A. E. M.; Jacobi, Catharina E.; Devilee, Peter; Klijn, Jan G. M.; Sigurdson, Alice J.; Doody, Michele M.; Alexander, Bruce H.; Zhang, Jinghui; Cox, Angela; Brock, Ian W.; MacPherson, Gordon; Reed, Malcolm W. R.; Couch, Fergus J.; Goode, Ellen L.; Olson, Janet E.; Meijers-Heijboer, Hanne; van den Ouweland, Ans; Uitterlinden, André; Rivadeneira, Fernando; Milne, Roger L.; Ribas, Gloria; Gonzalez-Neira, Anna; Benitez, Javier; Hopper, John L.; McCredie, Margaret; Southey, Melissa; Giles, Graham G.; Schroen, Chris; Justenhoven, Christina; Brauch, Hiltrud; Hamann, Ute; Ko, Yon-Dschun; Spurdle, Amanda B.; Beesley, Jonathan; Chen, Xiaoqing; Mannermaa, Arto; Kosma, Veli-Matti; Kataja, Vesa; Hartikainen, Jaana; Day, Nicholas E.; Cox, David R.; Ponder, Bruce A. J.; Luccarini, Craig; Conroy, Don; Shah, Mitul; Munday, Hannah; Jordan, Clare; Perkins, Barbara; West, Judy; Redman, Karen; Driver, Kristy; Aghmesheh, Morteza; Amor, David; Andrews, Lesley; Antill, Yoland; Armes, Jane; Armitage, Shane; Arnold, Leanne; Balleine, Rosemary; Begley, Glenn; Beilby, John; Bennett, Ian; Bennett, Barbara; Berry, Geoffrey; Blackburn, Anneke; Brennan, Meagan; Brown, Melissa; Buckley, Michael; Burke, Jo; Butow, Phyllis; Byron, Keith; Callen, David; Campbell, Ian; Chenevix-Trench, Georgia; Clarke, Christine; Colley, Alison; Cotton, Dick; Cui, Jisheng; Culling, Bronwyn; Cummings, Margaret; Dawson, Sarah-Jane; Dixon, Joanne; Dobrovic, Alexander; Dudding, Tracy; Edkins, Ted; Eisenbruch, Maurice; Farshid, Gelareh; Fawcett, Susan; Field, Michael; Firgaira, Frank; Fleming, Jean; Forbes, John; Friedlander, Michael; Gaff, Clara; Gardner, Mac; Gattas, Mike; George, Peter; Giles, Graham; Gill, Grantley; Goldblatt, Jack; Greening, Sian; Grist, Scott; Haan, Eric; Harris, Marion; Hart, Stewart; Hayward, Nick; Hopper, John; Humphrey, Evelyn; Jenkins, Mark; Jones, Alison; Kefford, Rick; Kirk, Judy; Kollias, James; Kovalenko, Sergey; Lakhani, Sunil; Leary, Jennifer; Lim, Jacqueline; Lindeman, Geoff; Lipton, Lara; Lobb, Liz; Maclurcan, Mariette; Mann, Graham; Marsh, Deborah; McCredie, Margaret; McKay, Michael; McLachlan, Sue Anne; Meiser, Bettina; Milne, Roger; Mitchell, Gillian; Newman, Beth; O'Loughlin, Imelda; Osborne, Richard; Peters, Lester; Phillips, Kelly; Price, Melanie; Reeve, Jeanne; Reeve, Tony; Richards, Robert; Rinehart, Gina; Robinson, Bridget; Rudzki, Barney; Salisbury, Elizabeth; Sambrook, Joe; Saunders, Christobel; Scott, Clare; Scott, Elizabeth; Scott, Rodney; Seshadri, Ram; Shelling, Andrew; Southey, Melissa; Spurdle, Amanda; Suthers, Graeme; Taylor, Donna; Tennant, Christopher; Thorne, Heather; Townshend, Sharron; Tucker, Kathy; Tyler, Janet; Venter, Deon; Visvader, Jane; Walpole, Ian; Ward, Robin; Waring, Paul; Warner, Bev; Warren, Graham; Watson, Elizabeth; Williams, Rachael; Wilson, Judy; Winship, Ingrid; Young, Mary Ann; Bowtell, David; Green, Adele; deFazio, Anna; Chenevix-Trench, Georgia; Gertig, Dorota; Webb, Penny

2009-01-01

Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2>0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P<10−7). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P<0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach. PMID:17529967

Genome-wide association studies identify four ER negative-specific breast cancer risk loci.

Science.gov (United States)

Garcia-Closas, Montserrat; Couch, Fergus J; Lindstrom, Sara; Michailidou, Kyriaki; Schmidt, Marjanka K; Brook, Mark N; Orr, Nick; Rhie, Suhn Kyong; Riboli, Elio; Feigelson, Heather S; Le Marchand, Loic; Buring, Julie E; Eccles, Diana; Miron, Penelope; Fasching, Peter A; Brauch, Hiltrud; Chang-Claude, Jenny; Carpenter, Jane; Godwin, Andrew K; Nevanlinna, Heli; Giles, Graham G; Cox, Angela; Hopper, John L; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Dicks, Ed; Howat, Will J; Schoof, Nils; Bojesen, Stig E; Lambrechts, Diether; Broeks, Annegien; Andrulis, Irene L; Guénel, Pascal; Burwinkel, Barbara; Sawyer, Elinor J; Hollestelle, Antoinette; Fletcher, Olivia; Winqvist, Robert; Brenner, Hermann; Mannermaa, Arto; Hamann, Ute; Meindl, Alfons; Lindblom, Annika; Zheng, Wei; Devillee, Peter; Goldberg, Mark S; Lubinski, Jan; Kristensen, Vessela; Swerdlow, Anthony; Anton-Culver, Hoda; Dörk, Thilo; Muir, Kenneth; Matsuo, Keitaro; Wu, Anna H; Radice, Paolo; Teo, Soo Hwang; Shu, Xiao-Ou; Blot, William; Kang, Daehee; Hartman, Mikael; Sangrajrang, Suleeporn; Shen, Chen-Yang; Southey, Melissa C; Park, Daniel J; Hammet, Fleur; Stone, Jennifer; Veer, Laura J Van't; Rutgers, Emiel J; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Peto, Julian; Schrauder, Michael G; Ekici, Arif B; Beckmann, Matthias W; Dos Santos Silva, Isabel; Johnson, Nichola; Warren, Helen; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Marme, Federick; Schneeweiss, Andreas; Sohn, Christof; Truong, Therese; Laurent-Puig, Pierre; Kerbrat, Pierre; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Milne, Roger L; Perez, Jose Ignacio Arias; Menéndez, Primitiva; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Lichtner, Peter; Lochmann, Magdalena; Justenhoven, Christina; Ko, Yon-Dschun; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Greco, Dario; Heikkinen, Tuomas; Ito, Hidemi; Iwata, Hiroji; Yatabe, Yasushi; Antonenkova, Natalia N; Margolin, Sara; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Balleine, Rosemary; Tseng, Chiu-Chen; Berg, David Van Den; Stram, Daniel O; Neven, Patrick; Dieudonné, Anne-Sophie; Leunen, Karin; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Peterlongo, Paolo; Peissel, Bernard; Bernard, Loris; Olson, Janet E; Wang, Xianshu; Stevens, Kristen; Severi, Gianluca; Baglietto, Laura; McLean, Catriona; Coetzee, Gerhard A; Feng, Ye; Henderson, Brian E; Schumacher, Fredrick; Bogdanova, Natalia V; Labrèche, France; Dumont, Martine; Yip, Cheng Har; Taib, Nur Aishah Mohd; Cheng, Ching-Yu; Shrubsole, Martha; Long, Jirong; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Kauppila, Saila; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Tollenaar, Robertus A E M; Seynaeve, Caroline M; Kriege, Mieke; Hooning, Maartje J; van den Ouweland, Ans M W; van Deurzen, Carolien H M; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Balasubramanian, Sabapathy P; Cross, Simon S; Reed, Malcolm W R; Signorello, Lisa; Cai, Qiuyin; Shah, Mitul; Miao, Hui; Chan, Ching Wan; Chia, Kee Seng; Jakubowska, Anna; Jaworska, Katarzyna; Durda, Katarzyna; Hsiung, Chia-Ni; Wu, Pei-Ei; Yu, Jyh-Cherng; Ashworth, Alan; Jones, Michael; Tessier, Daniel C; González-Neira, Anna; Pita, Guillermo; Alonso, M Rosario; Vincent, Daniel; Bacot, Francois; Ambrosone, Christine B; Bandera, Elisa V; John, Esther M; Chen, Gary K; Hu, Jennifer J; Rodriguez-Gil, Jorge L; Bernstein, Leslie; Press, Michael F; Ziegler, Regina G; Millikan, Robert M; Deming-Halverson, Sandra L; Nyante, Sarah; Ingles, Sue A; Waisfisz, Quinten; Tsimiklis, Helen; Makalic, Enes; Schmidt, Daniel; Bui, Minh; Gibson, Lorna; Müller-Myhsok, Bertram; Schmutzler, Rita K; Hein, Rebecca; Dahmen, Norbert; Beckmann, Lars; Aaltonen, Kirsimari; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Turnbull, Clare; Rahman, Nazneen; Meijers-Heijboer, Hanne; Uitterlinden, Andre G; Rivadeneira, Fernando; Olswold, Curtis; Slager, Susan; Pilarski, Robert; Ademuyiwa, Foluso; Konstantopoulou, Irene; Martin, Nicholas G; Montgomery, Grant W; Slamon, Dennis J; Rauh, Claudia; Lux, Michael P; Jud, Sebastian M; Bruning, Thomas; Weaver, Joellen; Sharma, Priyanka; Pathak, Harsh; Tapper, Will; Gerty, Sue; Durcan, Lorraine; Trichopoulos, Dimitrios; Tumino, Rosario; Peeters, Petra H; Kaaks, Rudolf; Campa, Daniele; Canzian, Federico; Weiderpass, Elisabete; Johansson, Mattias; Khaw, Kay-Tee; Travis, Ruth; Clavel-Chapelon, Françoise; Kolonel, Laurence N; Chen, Constance; Beck, Andy; Hankinson, Susan E; Berg, Christine D; Hoover, Robert N; Lissowska, Jolanta; Figueroa, Jonine D; Chasman, Daniel I; Gaudet, Mia M; Diver, W Ryan; Willett, Walter C; Hunter, David J; Simard, Jacques; Benitez, Javier; Dunning, Alison M; Sherman, Mark E; Chenevix-Trench, Georgia; Chanock, Stephen J; Hall, Per; Pharoah, Paul D P; Vachon, Celine; Easton, Douglas F; Haiman, Christopher A; Kraft, Peter

2013-04-01

Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10(-12) and LGR6, P = 1.4 × 10(-8)), 2p24.1 (P = 4.6 × 10(-8)) and 16q12.2 (FTO, P = 4.0 × 10(-8)), were associated with ER-negative but not ER-positive breast cancer (P > 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers.

Multi-ethnic fine-mapping of 14 central adiposity loci

NARCIS (Netherlands)

Liu, C.T.; Buchkovich, M.L.; Winkler, T.W.; Heid, I.M.; Hottenga, J.J.; Boomsma, D.I.; de Geus, E.J.C.; Willemsen, G.; Borecki, I.B.; Fox, C.S.; Mohlke, K.L.; North, K.E.; Cupples, L.A.

2014-01-01

The Genetic Investigation of Anthropometric Traits (GIANT) consortium identified 14 loci in European Ancestry (EA) individuals associated with waist-to-hip ratio (WHR) adjusted for body mass index. These loci are wide and narrowingthe signalsremains necessary. Twelve of 14 loci identified inGIANTEA

Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.

Directory of Open Access Journals (Sweden)

Symen Ligthart

Full Text Available Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS. We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463 as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10 appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18 had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes.

Genome-wide association study identifies shared risk loci common to two malignancies in golden retrievers.

Directory of Open Access Journals (Sweden)

Noriko Tonomura

2015-02-01

Full Text Available Dogs, with their breed-determined limited genetic background, are great models of human disease including cancer. Canine B-cell lymphoma and hemangiosarcoma are both malignancies of the hematologic system that are clinically and histologically similar to human B-cell non-Hodgkin lymphoma and angiosarcoma, respectively. Golden retrievers in the US show significantly elevated lifetime risk for both B-cell lymphoma (6% and hemangiosarcoma (20%. We conducted genome-wide association studies for hemangiosarcoma and B-cell lymphoma, identifying two shared predisposing loci. The two associated loci are located on chromosome 5, and together contribute ~20% of the risk of developing these cancers. Genome-wide p-values for the top SNP of each locus are 4.6×10-7 and 2.7×10-6, respectively. Whole genome resequencing of nine cases and controls followed by genotyping and detailed analysis identified three shared and one B-cell lymphoma specific risk haplotypes within the two loci, but no coding changes were associated with the risk haplotypes. Gene expression analysis of B-cell lymphoma tumors revealed that carrying the risk haplotypes at the first locus is associated with down-regulation of several nearby genes including the proximal gene TRPC6, a transient receptor Ca2+-channel involved in T-cell activation, among other functions. The shared risk haplotype in the second locus overlaps the vesicle transport and release gene STX8. Carrying the shared risk haplotype is associated with gene expression changes of 100 genes enriched for pathways involved in immune cell activation. Thus, the predisposing germ-line mutations in B-cell lymphoma and hemangiosarcoma appear to be regulatory, and affect pathways involved in T-cell mediated immune response in the tumor. This suggests that the interaction between the immune system and malignant cells plays a common role in the tumorigenesis of these relatively different cancers.

Unique genetic loci identified for emotional behavior in control and chronic stress conditions.

Directory of Open Access Journals (Sweden)

Kimberly AK Carhuatanta

2014-10-01

Full Text Available An individual’s genetic background affects their emotional behavior and response to stress. Although studies have been conducted to identify genetic predictors for emotional behavior or stress response, it remains unknown how prior stress history alters the interaction between an individual’s genome and their emotional behavior. Therefore, the purpose of this study is to identify chromosomal regions that affect emotional behavior and are sensitive to stress exposure. We utilized the BXD behavioral genetics mouse model to identify chromosomal regions that predict fear learning and emotional behavior following exposure to a control or chronic stress environment. 62 BXD recombinant inbred strains and C57BL/6 and DBA/2 parental strains underwent behavioral testing including a classical fear conditioning paradigm and the elevated plus maze. Distinct quantitative trait loci (QTLs were identified for emotional learning, anxiety and locomotion in control and chronic stress populations. Candidate genes, including those with already known functions in learning and stress were found to reside within the identified QTLs. Our data suggest that chronic stress history reveals novel genetic predictors of emotional behavior.

Genome-Wide Association Study Identifies Loci for Salt Tolerance during Germination in Autotetraploid Alfalfa (Medicago sativa L.) Using Genotyping-by-Sequencing

Science.gov (United States)

Yu, Long-Xi; Liu, Xinchun; Boge, William; Liu, Xiang-Ping

2016-01-01

Salinity is one of major abiotic stresses limiting alfalfa (Medicago sativa L.) production in the arid and semi-arid regions in US and other counties. In this study, we used a diverse panel of alfalfa accessions previously described by Zhang et al. (2015) to identify molecular markers associated with salt tolerance during germination using genome-wide association study (GWAS) and genotyping-by-sequencing (GBS). Phenotyping was done by germinating alfalfa seeds under different levels of salt stress. Phenotypic data of adjusted germination rates and SNP markers generated by GBS were used for marker-trait association. Thirty six markers were significantly associated with salt tolerance in at least one level of salt treatments. Alignment of sequence tags to the Medicago truncatula genome revealed genetic locations of the markers on all chromosomes except chromosome 3. Most significant markers were found on chromosomes 1, 2, and 4. BLAST search using the flanking sequences of significant markers identified 14 putative candidate genes linked to 23 significant markers. Most of them were repeatedly identified in two or three salt treatments. Several loci identified in the present study had similar genetic locations to the reported QTL associated with salt tolerance in M. truncatula. A locus identified on chromosome 6 by this study overlapped with that by drought in our previous study. To our knowledge, this is the first report on mapping loci associated with salt tolerance during germination in autotetraploid alfalfa. Further investigation on these loci and their linked genes would provide insight into understanding molecular mechanisms by which salt and drought stresses affect alfalfa growth. Functional markers closely linked to the resistance loci would be useful for MAS to improve alfalfa cultivars with enhanced resistance to drought and salt stresses. PMID:27446182

Novel genetic loci underlying human intracranial volume identified through genome-wide association

OpenAIRE

Adams, Hieab HH; Hibar, Derrek P; Chouraki, Vincent; Stein, Jason L; Nyquist, Paul A; Renter��a, Miguel E; Trompet, Stella; Arias-Vasquez, Alejandro; Seshadri, Sudha; Desrivi��res, Sylvane; Beecham, Ashley H; Jahanshad, Neda; Wittfeld, Katharina; Van der Lee, Sven J; Abramovic, Lucija

2016-01-01

Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjus...

Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease

Science.gov (United States)

Lambert, Jean-Charles; Ibrahim-Verbaas, Carla A; Harold, Denise; Naj, Adam C; Sims, Rebecca; Bellenguez, Céline; Jun, Gyungah; DeStefano, Anita L; Bis, Joshua C; Beecham, Gary W; Grenier-Boley, Benjamin; Russo, Giancarlo; Thornton-Wells, Tricia A; Jones, Nicola; Smith, Albert V; Chouraki, Vincent; Thomas, Charlene; Ikram, M Arfan; Zelenika, Diana; Vardarajan, Badri N; Kamatani, Yoichiro; Lin, Chiao-Feng; Gerrish, Amy; Schmidt, Helena; Kunkle, Brian; Dunstan, Melanie L; Ruiz, Agustin; Bihoreau, Marie-Thérèse; Choi, Seung-Hoan; Reitz, Christiane; Pasquier, Florence; Hollingworth, Paul; Ramirez, Alfredo; Hanon, Olivier; Fitzpatrick, Annette L; Buxbaum, Joseph D; Campion, Dominique; Crane, Paul K; Baldwin, Clinton; Becker, Tim; Gudnason, Vilmundur; Cruchaga, Carlos; Craig, David; Amin, Najaf; Berr, Claudine; Lopez, Oscar L; De Jager, Philip L; Deramecourt, Vincent; Johnston, Janet A; Evans, Denis; Lovestone, Simon; Letenneur, Luc; Morón, Francisco J; Rubinsztein, David C; Eiriksdottir, Gudny; Sleegers, Kristel; Goate, Alison M; Fiévet, Nathalie; Huentelman, Matthew J; Gill, Michael; Brown, Kristelle; Kamboh, M Ilyas; Keller, Lina; Barberger-Gateau, Pascale; McGuinness, Bernadette; Larson, Eric B; Green, Robert; Myers, Amanda J; Dufouil, Carole; Todd, Stephen; Wallon, David; Love, Seth; Rogaeva, Ekaterina; Gallacher, John; St George-Hyslop, Peter; Clarimon, Jordi; Lleo, Alberto; Bayer, Anthony; Tsuang, Debby W; Yu, Lei; Tsolaki, Magda; Bossù, Paola; Spalletta, Gianfranco; Proitsi, Petroula; Collinge, John; Sorbi, Sandro; Sanchez-Garcia, Florentino; Fox, Nick C; Hardy, John; Deniz Naranjo, Maria Candida; Bosco, Paolo; Clarke, Robert; Brayne, Carol; Galimberti, Daniela; Mancuso, Michelangelo; Matthews, Fiona; Moebus, Susanne; Mecocci, Patrizia; Zompo, Maria Del; Maier, Wolfgang; Hampel, Harald; Pilotto, Alberto; Bullido, Maria; Panza, Francesco; Caffarra, Paolo; Nacmias, Benedetta; Gilbert, John R; Mayhaus, Manuel; Lannfelt, Lars; Hakonarson, Hakon; Pichler, Sabrina; Carrasquillo, Minerva M; Ingelsson, Martin; Beekly, Duane; Alvarez, Victoria; Zou, Fanggeng; Valladares, Otto; Younkin, Steven G; Coto, Eliecer; Hamilton-Nelson, Kara L; Gu, Wei; Razquin, Cristina; Pastor, Pau; Mateo, Ignacio; Owen, Michael J; Faber, Kelley M; Jonsson, Palmi V; Combarros, Onofre; O’Donovan, Michael C; Cantwell, Laura B; Soininen, Hilkka; Blacker, Deborah; Mead, Simon; Mosley, Thomas H; Bennett, David A; Harris, Tamara B; Fratiglioni, Laura; Holmes, Clive; de Bruijn, Renee F A G; Passmore, Peter; Montine, Thomas J; Bettens, Karolien; Rotter, Jerome I; Brice, Alexis; Morgan, Kevin; Foroud, Tatiana M; Kukull, Walter A; Hannequin, Didier; Powell, John F; Nalls, Michael A; Ritchie, Karen; Lunetta, Kathryn L; Kauwe, John S K; Boerwinkle, Eric; Riemenschneider, Matthias; Boada, Mercè; Hiltunen, Mikko; Martin, Eden R; Schmidt, Reinhold; Rujescu, Dan; Wang, Li-san; Dartigues, Jean-François; Mayeux, Richard; Tzourio, Christophe; Hofman, Albert; Nöthen, Markus M; Graff, Caroline; Psaty, Bruce M; Jones, Lesley; Haines, Jonathan L; Holmans, Peter A; Lathrop, Mark; Pericak-Vance, Margaret A; Launer, Lenore J; Farrer, Lindsay A; van Duijn, Cornelia M; Van Broeckhoven, Christine; Moskvina, Valentina; Seshadri, Sudha; Williams, Julie; Schellenberg, Gerard D; Amouyel, Philippe

2013-01-01

Eleven susceptibility loci for late-onset Alzheimer’s disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer’s disease cases and 37,154 controls. In stage 2,11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer’s disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10−8) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer’s disease. PMID:24162737

Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

Science.gov (United States)

Wang, Xianshu; McGuffog, Lesley; Lee, Andrew; Olswold, Curtis; Kuchenbaecker, Karoline B.; Soucy, Penny; Fredericksen, Zachary; Barrowdale, Daniel; Dennis, Joe; Gaudet, Mia M.; Dicks, Ed; Kosel, Matthew; Healey, Sue; Sinilnikova, Olga M.; Lee, Adam; Bacot, François; Vincent, Daniel; Hogervorst, Frans B. L.; Peock, Susan; Stoppa-Lyonnet, Dominique; Jakubowska, Anna; Investigators, kConFab; Radice, Paolo; Schmutzler, Rita Katharina; Domchek, Susan M.; Piedmonte, Marion; Singer, Christian F.; Friedman, Eitan; Thomassen, Mads; Hansen, Thomas V. O.; Neuhausen, Susan L.; Szabo, Csilla I.; Blanco, Ignacio; Greene, Mark H.; Karlan, Beth Y.; Garber, Judy; Phelan, Catherine M.; Weitzel, Jeffrey N.; Montagna, Marco; Olah, Edith; Andrulis, Irene L.; Godwin, Andrew K.; Yannoukakos, Drakoulis; Goldgar, David E.; Caldes, Trinidad; Nevanlinna, Heli; Osorio, Ana; Terry, Mary Beth; Daly, Mary B.; van Rensburg, Elizabeth J.; Hamann, Ute; Ramus, Susan J.; Ewart Toland, Amanda; Caligo, Maria A.; Olopade, Olufunmilayo I.; Tung, Nadine; Claes, Kathleen; Beattie, Mary S.; Southey, Melissa C.; Imyanitov, Evgeny N.; Tischkowitz, Marc; Janavicius, Ramunas; John, Esther M.; Kwong, Ava; Diez, Orland; Balmaña, Judith; Barkardottir, Rosa B.; Arun, Banu K.; Rennert, Gad; Teo, Soo-Hwang; Ganz, Patricia A.; Campbell, Ian; van der Hout, Annemarie H.; van Deurzen, Carolien H. M.; Seynaeve, Caroline; Gómez Garcia, Encarna B.; van Leeuwen, Flora E.; Meijers-Heijboer, Hanne E. J.; Gille, Johannes J. P.; Ausems, Margreet G. E. M.; Blok, Marinus J.; Ligtenberg, Marjolijn J. L.; Rookus, Matti A.; Devilee, Peter; Verhoef, Senno; van Os, Theo A. M.; Wijnen, Juul T.; Frost, Debra; Ellis, Steve; Fineberg, Elena; Platte, Radka; Evans, D. Gareth; Izatt, Louise; Eeles, Rosalind A.; Adlard, Julian; Eccles, Diana M.; Cook, Jackie; Brewer, Carole; Douglas, Fiona; Hodgson, Shirley; Morrison, Patrick J.; Side, Lucy E.; Donaldson, Alan; Houghton, Catherine; Rogers, Mark T.; Dorkins, Huw; Eason, Jacqueline; Gregory, Helen; McCann, Emma; Murray, Alex; Calender, Alain; Hardouin, Agnès; Berthet, Pascaline; Delnatte, Capucine; Nogues, Catherine; Lasset, Christine; Houdayer, Claude; Leroux, Dominique; Rouleau, Etienne; Prieur, Fabienne; Damiola, Francesca; Sobol, Hagay; Coupier, Isabelle; Venat-Bouvet, Laurence; Castera, Laurent; Gauthier-Villars, Marion; Léoné, Mélanie; Pujol, Pascal; Mazoyer, Sylvie; Bignon, Yves-Jean; Złowocka-Perłowska, Elżbieta; Gronwald, Jacek; Lubinski, Jan; Durda, Katarzyna; Jaworska, Katarzyna; Huzarski, Tomasz; Spurdle, Amanda B.; Viel, Alessandra; Peissel, Bernard; Bonanni, Bernardo; Melloni, Giulia; Ottini, Laura; Papi, Laura; Varesco, Liliana; Tibiletti, Maria Grazia; Peterlongo, Paolo; Volorio, Sara; Manoukian, Siranoush; Pensotti, Valeria; Arnold, Norbert; Engel, Christoph; Deissler, Helmut; Gadzicki, Dorothea; Gehrig, Andrea; Kast, Karin; Rhiem, Kerstin; Meindl, Alfons; Niederacher, Dieter; Ditsch, Nina; Plendl, Hansjoerg; Preisler-Adams, Sabine; Engert, Stefanie; Sutter, Christian; Varon-Mateeva, Raymonda; Wappenschmidt, Barbara; Weber, Bernhard H. F.; Arver, Brita; Stenmark-Askmalm, Marie; Loman, Niklas; Rosenquist, Richard; Einbeigi, Zakaria; Nathanson, Katherine L.; Rebbeck, Timothy R.; Blank, Stephanie V.; Cohn, David E.; Rodriguez, Gustavo C.; Small, Laurie; Friedlander, Michael; Bae-Jump, Victoria L.; Fink-Retter, Anneliese; Rappaport, Christine; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; Tea, Muy-Kheng; Lindor, Noralane M.; Kaufman, Bella; Shimon Paluch, Shani; Laitman, Yael; Skytte, Anne-Bine; Gerdes, Anne-Marie; Pedersen, Inge Sokilde; Moeller, Sanne Traasdahl; Kruse, Torben A.; Jensen, Uffe Birk; Vijai, Joseph; Sarrel, Kara; Robson, Mark; Kauff, Noah; Mulligan, Anna Marie; Glendon, Gord; Ozcelik, Hilmi; Ejlertsen, Bent; Nielsen, Finn C.; Jønson, Lars; Andersen, Mette K.; Ding, Yuan Chun; Steele, Linda; Foretova, Lenka; Teulé, Alex; Lazaro, Conxi; Brunet, Joan; Pujana, Miquel Angel; Mai, Phuong L.; Loud, Jennifer T.; Walsh, Christine; Lester, Jenny; Orsulic, Sandra; Narod, Steven A.; Herzog, Josef; Sand, Sharon R.; Tognazzo, Silvia; Agata, Simona; Vaszko, Tibor; Weaver, Joellen; Stavropoulou, Alexandra V.; Buys, Saundra S.; Romero, Atocha; de la Hoya, Miguel; Aittomäki, Kristiina; Muranen, Taru A.; Duran, Mercedes; Chung, Wendy K.; Lasa, Adriana; Dorfling, Cecilia M.; Miron, Alexander; Benitez, Javier; Senter, Leigha; Huo, Dezheng; Chan, Salina B.; Sokolenko, Anna P.; Chiquette, Jocelyne; Tihomirova, Laima; Friebel, Tara M.; Agnarsson, Bjarni A.; Lu, Karen H.; Lejbkowicz, Flavio; James, Paul A.; Hall, Per; Dunning, Alison M.; Tessier, Daniel; Cunningham, Julie; Slager, Susan L.; Wang, Chen; Hart, Steven; Stevens, Kristen; Simard, Jacques; Pastinen, Tomi; Pankratz, Vernon S.; Offit, Kenneth; Antoniou, Antonis C.

2013-01-01

BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7×10−8, HR = 1.14, 95% CI: 1.09–1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4×10−8, HR = 1.27, 95% CI: 1.17–1.38) and 4q32.3 (rs4691139, P = 3.4×10−8, HR = 1.20, 95% CI: 1.17–1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10−4). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers. PMID:23544013

A genome-wide association meta-analysis identifies new childhood obesity loci

Science.gov (United States)

Bradfield, Jonathan P.; Taal, H. Rob; Timpson, Nicholas J.; Scherag, André; Lecoeur, Cecile; Warrington, Nicole M.; Hypponen, Elina; Holst, Claus; Valcarcel, Beatriz; Thiering, Elisabeth; Salem, Rany M.; Schumacher, Fredrick R.; Cousminer, Diana L.; Sleiman, Patrick M.A.; Zhao, Jianhua; Berkowitz, Robert I.; Vimaleswaran, Karani S.; Jarick, Ivonne; Pennell, Craig E.; Evans, David M.; St. Pourcain, Beate; Berry, Diane J.; Mook-Kanamori, Dennis O; Hofman, Albert; Rivadeinera, Fernando; Uitterlinden, André G.; van Duijn, Cornelia M.; van der Valk, Ralf J.P.; de Jongste, Johan C.; Postma, Dirkje S.; Boomsma, Dorret I.; Gauderman, William J.; Hassanein, Mohamed T.; Lindgren, Cecilia M.; Mägi, Reedik; Boreham, Colin A.G.; Neville, Charlotte E.; Moreno, Luis A.; Elliott, Paul; Pouta, Anneli; Hartikainen, Anna-Liisa; Li, Mingyao; Raitakari, Olli; Lehtimäki, Terho; Eriksson, Johan G.; Palotie, Aarno; Dallongeville, Jean; Das, Shikta; Deloukas, Panos; McMahon, George; Ring, Susan M.; Kemp, John P.; Buxton, Jessica L.; Blakemore, Alexandra I.F.; Bustamante, Mariona; Guxens, Mònica; Hirschhorn, Joel N.; Gillman, Matthew W.; Kreiner-Møller, Eskil; Bisgaard, Hans; Gilliland, Frank D.; Heinrich, Joachim; Wheeler, Eleanor; Barroso, Inês; O'Rahilly, Stephen; Meirhaeghe, Aline; Sørensen, Thorkild I.A.; Power, Chris; Palmer, Lyle J.; Hinney, Anke; Widen, Elisabeth; Farooqi, I. Sadaf; McCarthy, Mark I.; Froguel, Philippe; Meyre, David; Hebebrand, Johannes; Jarvelin, Marjo-Riitta; Jaddoe, Vincent W.V.; Smith, George Davey; Hakonarson, Hakon; Grant, Struan F.A.

2012-01-01

Multiple genetic variants have been associated with adult obesity and a few with severe obesity in childhood; however, less progress has been made to establish genetic influences on common early-onset obesity. We performed a North American-Australian-European collaborative meta-analysis of fourteen studies consisting of 5,530 cases (≥95th percentile of body mass index (BMI)) and 8,318 controls (<50th percentile of BMI) of European ancestry. Taking forward the eight novel signals yielding association with P < 5×10−6 in to nine independent datasets (n = 2,818 cases and 4,083 controls) we observed two loci that yielded a genome wide significant combined P-value, namely near OLFM4 on 13q14 (rs9568856; P=1.82×10−9; OR=1.22) and within HOXB5 on 17q21 (rs9299; P=3.54×10−9; OR=1.14). Both loci continued to show association when including two extreme childhood obesity cohorts (n = 2,214 cases and 2,674 controls). Finally, these two loci yielded directionally consistent associations in the GIANT meta-analysis of adult BMI1. PMID:22484627

Meta-analysis of five genome-wide association studies identifies multiple new loci associated with testicular germ cell tumor

DEFF Research Database (Denmark)

Wang, Zhaoming; McGlynn, Katherine A.; Rajpert-De Meyts, Ewa

2017-01-01

The international Testicular Cancer Consortium (TECAC) combined five published genome-wide association studies of testicular germ cell tumor (TGCT; 3,558 cases and 13,970 controls) to identify new susceptibility loci. We conducted a fixed-effects meta-analysis, including, to our knowledge, the fi...

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

NARCIS (Netherlands)

Mckay, James D.; Hung, Rayjean J; Han, Younghun; Zong, Xuchen; Carreras-Torres, Robert; Christiani, David C.; Caporaso, Neil E.; Johansson, Mattias; Xiao, Xiangjun; Li, Yafang; Byun, Jinyoung; Dunning, Alison; Pooley, Karen A.; Qian, David C.; Ji, Xuemei; Liu, Geoffrey; Timofeeva, Maria N.; Bojesen, Stig E.; Wu, Xifeng; Le Marchand, Loic; Albanes, Demetrios; Bickeboeller, Heike; Aldrich, Melinda C.; Bush, William S.; Tardon, Adonina; Rennert, Gad; Teare, M. Dawn; Field, John K.; Kiemeney, Lambertus A.; Lazarus, Philip; Haugen, Aage; Lam, Stephen; Schabath, Matthew B.; Andrew, Angeline S.; Shen, Hongbing; Hong, Yun-Chul; Yuan, Jian-Min; Bertazzi, Pier Alberto; Pesatori, Angela C.; Ye, Yuanqing; Diao, Nancy; Su, Li; Zhang, Ruyang; Brhane, Yonathan; Leighl, Natasha; Johansen, Jakob S.; Mellemgaard, Anders; Saliba, Walid; Marcus, Michael W.; Timens, Wim

Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genomewide association

Genome-wide association studies identify four ER negative–specific breast cancer risk loci

Science.gov (United States)

Garcia-Closas, Montserrat; Couch, Fergus J; Lindstrom, Sara; Michailidou, Kyriaki; Schmidt, Marjanka K; Brook, Mark N; orr, Nick; Rhie, Suhn Kyong; Riboli, Elio; Feigelson, Heather s; Le Marchand, Loic; Buring, Julie E; Eccles, Diana; Miron, Penelope; Fasching, Peter A; Brauch, Hiltrud; Chang-Claude, Jenny; Carpenter, Jane; Godwin, Andrew K; Nevanlinna, Heli; Giles, Graham G; Cox, Angela; Hopper, John L; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Dicks, Ed; Howat, Will J; Schoof, Nils; Bojesen, Stig E; Lambrechts, Diether; Broeks, Annegien; Andrulis, Irene L; Guénel, Pascal; Burwinkel, Barbara; Sawyer, Elinor J; Hollestelle, Antoinette; Fletcher, Olivia; Winqvist, Robert; Brenner, Hermann; Mannermaa, Arto; Hamann, Ute; Meindl, Alfons; Lindblom, Annika; Zheng, Wei; Devillee, Peter; Goldberg, Mark S; Lubinski, Jan; Kristensen, Vessela; Swerdlow, Anthony; Anton-Culver, Hoda; Dörk, Thilo; Muir, Kenneth; Matsuo, Keitaro; Wu, Anna H; Radice, Paolo; Teo, Soo Hwang; Shu, Xiao-Ou; Blot, William; Kang, Daehee; Hartman, Mikael; Sangrajrang, Suleeporn; Shen, Chen-Yang; Southey, Melissa C; Park, Daniel J; Hammet, Fleur; Stone, Jennifer; Veer, Laura J Van’t; Rutgers, Emiel J; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Peto, Julian; Schrauder, Michael G; Ekici, Arif B; Beckmann, Matthias W; Silva, Isabel dos Santos; Johnson, Nichola; Warren, Helen; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Marme, Federick; Schneeweiss, Andreas; Sohn, Christof; Truong, Therese; Laurent-Puig, Pierre; Kerbrat, Pierre; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Milne, Roger L; Perez, Jose Ignacio Arias; Menéndez, Primitiva; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Lichtner, Peter; Lochmann, Magdalena; Justenhoven, Christina; Ko, Yon-Dschun; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Greco, Dario; Heikkinen, Tuomas; Ito, Hidemi; Iwata, Hiroji; Yatabe, Yasushi; Antonenkova, Natalia N; Margolin, Sara; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Balleine, Rosemary; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Neven, Patrick; Dieudonné, Anne-Sophie; Leunen, Karin; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Peterlongo, Paolo; Peissel, Bernard; Bernard, Loris; Olson, Janet E; Wang, Xianshu; Stevens, Kristen; Severi, Gianluca; Baglietto, Laura; Mclean, Catriona; Coetzee, Gerhard A; Feng, Ye; Henderson, Brian E; Schumacher, Fredrick; Bogdanova, Natalia V; Labrèche, France; Dumont, Martine; Yip, Cheng Har; Taib, Nur Aishah Mohd; Cheng, Ching-Yu; Shrubsole, Martha; Long, Jirong; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Kauppila, Saila; knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Tollenaar, Robertus A E M; Seynaeve, Caroline M; Kriege, Mieke; Hooning, Maartje J; Van den Ouweland, Ans M W; Van Deurzen, Carolien H M; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Balasubramanian, Sabapathy P; Cross, Simon S; Reed, Malcolm W R; Signorello, Lisa; Cai, Qiuyin; Shah, Mitul; Miao, Hui; Chan, Ching Wan; Chia, Kee Seng; Jakubowska, Anna; Jaworska, Katarzyna; Durda, Katarzyna; Hsiung, Chia-Ni; Wu, Pei-Ei; Yu, Jyh-Cherng; Ashworth, Alan; Jones, Michael; Tessier, Daniel C; González-Neira, Anna; Pita, Guillermo; Alonso, M Rosario; Vincent, Daniel; Bacot, Francois; Ambrosone, Christine B; Bandera, Elisa V; John, Esther M; Chen, Gary K; Hu, Jennifer J; Rodriguez-gil, Jorge L; Bernstein, Leslie; Press, Michael F; Ziegler, Regina G; Millikan, Robert M; Deming-Halverson, Sandra L; Nyante, Sarah; Ingles, Sue A; Waisfisz, Quinten; Tsimiklis, Helen; Makalic, Enes; Schmidt, Daniel; Bui, Minh; Gibson, Lorna; Müller-Myhsok, Bertram; Schmutzler, Rita K; Hein, Rebecca; Dahmen, Norbert; Beckmann, Lars; Aaltonen, Kirsimari; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Turnbull, Clare; Rahman, Nazneen; Meijers-Heijboer, Hanne; Uitterlinden, Andre G; Rivadeneira, Fernando; Olswold, Curtis; Slager, Susan; Pilarski, Robert; Ademuyiwa, Foluso; Konstantopoulou, Irene; Martin, Nicholas G; Montgomery, Grant W; Slamon, Dennis J; Rauh, Claudia; Lux, Michael P; Jud, Sebastian M; Bruning, Thomas; Weaver, Joellen; Sharma, Priyanka; Pathak, Harsh; Tapper, Will; Gerty, Sue; Durcan, Lorraine; Trichopoulos, Dimitrios; Tumino, Rosario; Peeters, Petra H; Kaaks, Rudolf; Campa, Daniele; Canzian, Federico; Weiderpass, Elisabete; Johansson, Mattias; Khaw, Kay-Tee; Travis, Ruth; Clavel-Chapelon, Françoise; Kolonel, Laurence N; Chen, Constance; Beck, Andy; Hankinson, Susan E; Berg, Christine D; Hoover, Robert N; Lissowska, Jolanta; Figueroa, Jonine D; Chasman, Daniel I; Gaudet, Mia M; Diver, W Ryan; Willett, Walter C; Hunter, David J; Simard, Jacques; Benitez, Javier; Dunning, Alison M; Sherman, Mark E; Chenevix-Trench, Georgia; Chanock, Stephen J; Hall, Per; Pharoah, Paul D P; Vachon, Celine; Easton, Douglas F; Haiman, Christopher A; Kraft, Peter

2013-01-01

Estrogen receptor (ER)-negative tumors represent 20–30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry1. The etiology2 and clinical behavior3 of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition4. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10−12 and LGR6, P = 1.4 × 10−8), 2p24.1 (P = 4.6 × 10−8) and 16q12.2 (FTO, P = 4.0 × 10−8), were associated with ER-negative but not ER-positive breast cancer (P > 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers. PMID:23535733

Efficient genome-wide association in biobanks using topic modeling identifies multiple novel disease loci.

Science.gov (United States)

McCoy, Thomas H; Castro, Victor M; Snapper, Leslie A; Hart, Kamber L; Perlis, Roy H

2017-08-31

Biobanks and national registries represent a powerful tool for genomic discovery, but rely on diagnostic codes that may be unreliable and fail to capture the relationship between related diagnoses. We developed an efficient means of conducting genome-wide association studies using combinations of diagnostic codes from electronic health records (EHR) for 10845 participants in a biobanking program at two large academic medical centers. Specifically, we applied latent Dirichilet allocation to fit 50 disease topics based on diagnostic codes, then conducted genome-wide common-variant association for each topic. In sensitivity analysis, these results were contrasted with those obtained from traditional single-diagnosis phenome-wide association analysis, as well as those in which only a subset of diagnostic codes are included per topic. In meta-analysis across three biobank cohorts, we identified 23 disease-associated loci with p<1e-15, including previously associated autoimmune disease loci. In all cases, observed significant associations were of greater magnitude than for single phenome-wide diagnostic codes, and incorporation of less strongly-loading diagnostic codes enhanced association. This strategy provides a more efficient means of phenome-wide association in biobanks with coded clinical data.

Microarray analysis identifies keratin loci as sensitive biomarkers for thyroid hormone disruption in the salamander Ambystoma mexicanum.

Science.gov (United States)

Page, Robert B; Monaghan, James R; Samuels, Amy K; Smith, Jeramiah J; Beachy, Christopher K; Voss, S Randal

2007-02-01

Ambystomatid salamanders offer several advantages for endocrine disruption research, including genomic and bioinformatics resources, an accessible laboratory model (Ambystoma mexicanum), and natural lineages that are broadly distributed among North American habitats. We used microarray analysis to measure the relative abundance of transcripts isolated from A. mexicanum epidermis (skin) after exogenous application of thyroid hormone (TH). Only one gene had a >2-fold change in transcript abundance after 2 days of TH treatment. However, hundreds of genes showed significantly different transcript levels at days 12 and 28 in comparison to day 0. A list of 123 TH-responsive genes was identified using statistical, BLAST, and fold level criteria. Cluster analysis identified two groups of genes with similar transcription patterns: up-regulated versus down-regulated. Most notably, several keratins exhibited dramatic (1000 fold) increases or decreases in transcript abundance. Keratin gene expression changes coincided with morphological remodeling of epithelial tissues. This suggests that keratin loci can be developed as sensitive biomarkers to assay temporal disruptions of larval-to-adult gene expression programs. Our study has identified the first collection of loci that are regulated during TH-induced metamorphosis in a salamander, thus setting the stage for future investigations of TH disruption in the Mexican axolotl and other salamanders of the genus Ambystoma.

Genome-wide association study identifies 74 loci associated with educational attainment

Science.gov (United States)

Okbay, Aysu; Beauchamp, Jonathan P.; Fontana, Mark A.; Lee, James J.; Pers, Tune H.; Rietveld, Cornelius A.; Turley, Patrick; Chen, Guo-Bo; Emilsson, Valur; Meddens, S. Fleur W.; Oskarsson, Sven; Pickrell, Joseph K.; Thom, Kevin; Timshel, Pascal; de Vlaming, Ronald; Abdellaoui, Abdel; Ahluwalia, Tarunveer S.; Bacelis, Jonas; Baumbach, Clemens; Bjornsdottir, Gyda; Brandsma, Johannes H.; Concas, Maria Pina; Derringer, Jaime; Furlotte, Nicholas A.; Galesloot, Tessel E.; Girotto, Giorgia; Gupta, Richa; Hall, Leanne M.; Harris, Sarah E.; Hofer, Edith; Horikoshi, Momoko; Huffman, Jennifer E.; Kaasik, Kadri; Kalafati, Ioanna P.; Karlsson, Robert; Kong, Augustine; Lahti, Jari; van der Lee, Sven J.; de Leeuw, Christiaan; Lind, Penelope A.; Lindgren, Karl-Oskar; Liu, Tian; Mangino, Massimo; Marten, Jonathan; Mihailov, Evelin; Miller, Michael B.; van der Most, Peter J.; Oldmeadow, Christopher; Payton, Antony; Pervjakova, Natalia; Peyrot, Wouter J.; Qian, Yong; Raitakari, Olli; Rueedi, Rico; Salvi, Erika; Schmidt, Börge; Schraut, Katharina E.; Shi, Jianxin; Smith, Albert V.; Poot, Raymond A.; Pourcain, Beate; Teumer, Alexander; Thorleifsson, Gudmar; Verweij, Niek; Vuckovic, Dragana; Wellmann, Juergen; Westra, Harm-Jan; Yang, Jingyun; Zhao, Wei; Zhu, Zhihong; Alizadeh, Behrooz Z.; Amin, Najaf; Bakshi, Andrew; Baumeister, Sebastian E.; Biino, Ginevra; Bønnelykke, Klaus; Boyle, Patricia A.; Campbell, Harry; Cappuccio, Francesco P.; Davies, Gail; De Neve, Jan-Emmanuel; Deloukas, Panos; Demuth, Ilja; Ding, Jun; Eibich, Peter; Eisele, Lewin; Eklund, Niina; Evans68, David M.; Faul, Jessica D.; Feitosa, Mary F.; Forstner, Andreas J.; Gandin, Ilaria; Gunnarsson, Bjarni; Halldórsson, Bjarni V.; Harris, Tamara B.; Heath, Andrew C.; Hocking, Lynne J.; Holliday, Elizabeth G.; Homuth, Georg; Horan, Michael A.; Hottenga, Jouke-Jan; de Jager, Philip L.; Joshi, Peter K.; Jugessur, Astanand; Kaakinen, Marika A.; Kähönen, Mika; Kanoni, Stavroula; Keltigangas-Järvinen, Liisa; Kiemeney, Lambertus A.L.M.; Kolcic, Ivana; Koskinen, Seppo; Kraja, Aldi T.; Kroh, Martin; Kutalik, Zoltan; Latvala, Antti; Launer, Lenore J.; Lebreton, Maël P.; Levinson, Douglas F.; Lichtenstein, Paul; Lichtner, Peter; Liewald, David C.M.; Loukola, Anu; Madden, Pamela A.; Mägi, Reedik; Mäki-Opas, Tomi; Marioni, Riccardo E.; Marques-Vidal, Pedro; Meddens, Gerardus A.; McMahon, George; Meisinger, Christa; Meitinger, Thomas; Milaneschi, Yusplitri; Milani, Lili; Montgomery, Grant W.; Myhre, Ronny; Nelson, Christopher P.; Nyholt, Dale R.; Ollier, William E.R.; Palotie, Aarno; Paternoster, Lavinia; Pedersen, Nancy L.; Petrovic, Katja E.; Porteous, David J.; Räikkönen, Katri; Ring, Susan M.; Robino, Antonietta; Rostapshova, Olga; Rudan, Igor; Rustichini, Aldo; Salomaa, Veikko; Sanders, Alan R.; Sarin, Antti-Pekka; Schmidt, Helena; Scott, Rodney J.; Smith, Blair H.; Smith, Jennifer A.; Staessen, Jan A.; Steinhagen-Thiessen, Elisabeth; Strauch, Konstantin; Terracciano, Antonio; Tobin, Martin D.; Ulivi, Sheila; Vaccargiu, Simona; Quaye, Lydia; van Rooij, Frank J.A.; Venturini, Cristina; Vinkhuyzen, Anna A.E.; Völker, Uwe; Völzke, Henry; Vonk, Judith M.; Vozzi, Diego; Waage, Johannes; Ware, Erin B.; Willemsen, Gonneke; Attia, John R.; Bennett, David A.; Berger, Klaus; Bertram, Lars; Bisgaard, Hans; Boomsma, Dorret I.; Borecki, Ingrid B.; Bultmann, Ute; Chabris, Christopher F.; Cucca, Francesco; Cusi, Daniele; Deary, Ian J.; Dedoussis, George V.; van Duijn, Cornelia M.; Eriksson, Johan G.; Franke, Barbara; Franke, Lude; Gasparini, Paolo; Gejman, Pablo V.; Gieger, Christian; Grabe, Hans-Jörgen; Gratten, Jacob; Groenen, Patrick J.F.; Gudnason, Vilmundur; van der Harst, Pim; Hayward, Caroline; Hinds, David A.; Hoffmann, Wolfgang; Hyppönen, Elina; Iacono, William G.; Jacobsson, Bo; Järvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L.R.; Lehtimäki, Terho; Lehrer, Steven F.; Magnusson, Patrik K.E.; Martin, Nicholas G.; McGue, Matt; Metspalu, Andres; Pendleton, Neil; Penninx, Brenda W.J.H.; Perola, Markus; Pirastu, Nicola; Pirastu, Mario; Polasek, Ozren; Posthuma, Danielle; Power, Christine; Province, Michael A.; Samani, Nilesh J.; Schlessinger, David; Schmidt, Reinhold; Sørensen, Thorkild I.A.; Spector, Tim D.; Stefansson, Kari; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tiemeier, Henning; Tung, Joyce Y.; Uitterlinden, André G.; Vitart, Veronique; Vollenweider, Peter; Weir, David R.; Wilson, James F.; Wright, Alan F.; Conley, Dalton C.; Krueger, Robert F.; Smith, George Davey; Hofman, Albert; Laibson, David I.; Medland, Sarah E.; Meyer, Michelle N.; Yang, Jian; Johannesson, Magnus; Visscher, Peter M.; Esko, Tõnu; Koellinger, Philipp D.; Cesarini, David; Benjamin, Daniel J.

2016-01-01

Summary Educational attainment (EA) is strongly influenced by social and other environmental factors, but genetic factors are also estimated to account for at least 20% of the variation across individuals1. We report the results of a genome-wide association study (GWAS) for EA that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication in an independent sample of 111,349 individuals from the UK Biobank. We now identify 74 genome-wide significant loci associated with number of years of schooling completed. Single-nucleotide polymorphisms (SNPs) associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioral phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because EA is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric disease. PMID:27225129

A genome-wide association analysis of a broad psychosis phenotype identifies three loci for further investigation

OpenAIRE

Psychosis Endophenotypes International Consortium; Wellcome Trust Case-Control Consortium; Bramon, E.; Pirinen, M.; Strange, A.; Lin, K.; Freeman, C.; Bellenguez, C.; Su, Z.; Band, G.; Pearson, R.; Vukcevic, D.; Langford, C.; Deloukas, P.; Hunt, S.

2014-01-01

BACKGROUND: Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. METHODS: 1239 cases with schizophrenia, schizoaffective disorder, or psychotic bipolar disorder; 857 of their unaffected relatives, and 2739 healthy controls were genotyped with the Affymetrix 6.0 single nucleotide polymorphism (SNP) array. Analyses of 69...

A Genome-wide Association Analysis of a Broad Psychosis Phenotype Identifies Three Loci for Further Investigation

OpenAIRE

Tosato, Sarah; Myin-germeys, Inez; Barroso, Ines; Bender, Stephan; Giegling, Ina; Arranz, Maria J.; Donnelly, Peter; Bellenguez, Celine; Brown, Matthew A.; Lawrie, Stephen; Kalaydjieva, Luba; Vukcevic, Damjan; Kahn, Rene S.; Dronov, Serge; Walshe, Muriel

2014-01-01

Background: Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories.Methods: 1239 cases with schizophrenia, schizoaffective disorder, or psychotic bipolar disorder; 857 of their unaffected relatives, and 2739 healthy controls were genotyped with the Affymetrix 6.0 single nucleotide polymorphism (SNP) array. Analyses of 695,19...

Genome-wide association studies of autoimmune vitiligo identify 23 new risk loci and highlight key pathways and regulatory variants

NARCIS (Netherlands)

Jin, Ying; Andersen, Genevieve; Yorgov, Daniel; Ferrara, Tracey M.; Ben, Songtao; Brownson, Kelly M.; Holland, Paulene J.; Birlea, Stanca A.; Siebert, Janet; Hartmann, Anke; Lienert, Anne; van Geel, Nanja; Lambert, Jo; Luiten, Rosalie M.; Wolkerstorfer, Albert; Wietze van der Veen, J. P.; Bennett, Dorothy C.; Taïeb, Alain; Ezzedine, Khaled; Kemp, E. Helen; Gawkrodger, David J.; Weetman, Anthony P.; Kõks, Sulev; Prans, Ele; Kingo, Külli; Karelson, Maire; Wallace, Margaret R.; McCormack, Wayne T.; Overbeck, Andreas; Moretti, Silvia; Colucci, Roberta; Picardo, Mauro; Silverberg, Nanette B.; Olsson, Mats; Valle, Yan; Korobko, Igor; Böhm, Markus; Lim, Henry W.; Hamzavi, Iltefat; Zhou, Li; Mi, Qing-Sheng; Fain, Pamela R.; Santorico, Stephanie A.; Spritz, Richard A.

2016-01-01

Vitiligo is an autoimmune disease in which depigmented skin results from the destruction of melanocytes, with epidemiological association with other autoimmune diseases. In previous linkage and genome-wide association studies (GWAS1 and GWAS2), we identified 27 vitiligo susceptibility loci in

A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

NARCIS (Netherlands)

Sung, Yun J.; Winkler, Thomas W.; de las Fuentes, Lisa; Bentley, Amy R.; Brown, Michael R.; Kraja, Aldi T.; Schwander, Karen; Ntalla, Ioanna; Guo, Xiuqing; Franceschini, Nora; Lu, Yingchang; Cheng, Ching-Yu; Sim, Xueling; Vojinovic, Dina; Marten, Jonathan; Musani, Solomon K.; Li, Changwei; Feitosa, Mary F.; Kilpelainen, Tuomas O.; Richard, Melissa A.; Noordam, Raymond; Aslibekyan, Stella; Aschard, Hugues; Bartz, Traci M.; Dorajoo, Rajkumar; Liu, Yongmei; Manning, Alisa K.; Rankinen, Tuomo; Smith, Albert Vernon; Tajuddin, Salman M.; Tayo, Bamidele O.; Warren, Helen R.; Zhao, Wei; Zhou, Yanhua; Matoba, Nana; Sofer, Tamar; Alver, Maris; Amini, Marzyeh; Boissel, Mathilde; Chai, Jin Fang; Chen, Xu; Divers, Jasmin; Gandin, Ilaria; Gao, Chuan; Giulianini, Franco; Goel, Anuj; Harris, Sarah E.; Hartwig, Fernando Pires; Horimoto, Andrea R. V. R.; Hsu, Fang-Chi; Jackson, Anne U.; Kahonen, Mika; Kasturiratne, Anuradhani; Kuhnel, Brigitte; Leander, Karin; Lee, Wen-Jane; Lin, Keng-Hung; Luan, Jian' an; McKenzie, Colin A.; He Meian,; Nelson, Christopher P.; Rauramaa, Rainer; Schupf, Nicole; Scott, Robert A.; Sheu, Wayne H. H.; Stancakova, Alena; Takeuchi, Fumihiko; van der Most, Peter J.; Varga, Tibor V.; Wang, Heming; Wang, Yajuan; Ware, Erin B.; Weiss, Stefan; Wen, Wanqing; Yanek, Lisa R.; Zhang, Weihua; Zhao, Jing Hua; Afaq, Saima; Alfred, Tamuno; Amin, Najaf; Arking, Dan; Aung, Tin; Barr, R. Graham; Bielak, Lawrence F.; Boerwinkle, Eric; Bottinger, Erwin P.; Braund, Peter S.; Brody, Jennifer A.; Broeckel, Ulrich; Cabrera, Claudia P.; Cade, Brian; Yu Caizheng,; Campbell, Archie; Canouil, Mickael; Chakravarti, Aravinda; Chauhan, Ganesh; Christensen, Kaare; Cocca, Massimiliano; Collins, Francis S.; Connell, John M.; de Mutsert, Renee; de Silva, H. Janaka; Debette, Stephanie; Dorr, Marcus; Duan, Qing; Eaton, Charles B.; Ehret, Georg; Evangelou, Evangelos; Faul, Jessica D.; Fisher, Virginia A.; Forouhi, Nita G.; Franco, Oscar H.; Friedlander, Yechiel; Gao, He; Gigante, Bruna; Graff, Misa; Gu, C. Charles; Gu, Dongfeng; Gupta, Preeti; Hagenaars, Saskia P.; Harris, Tamara B.; He, Jiang; Heikkinen, Sami; Heng, Chew-Kiat; Hirata, Makoto; Hofman, Albert; Howard, Barbara V.; Hunt, Steven; Irvin, Marguerite R.; Jia, Yucheng; Joehanes, Roby; Justice, Anne E.; Katsuya, Tomohiro; Kaufman, Joel; Kerrison, Nicola D.; Khor, Chiea Chuen; Koh, Woon-Puay; Koistinen, Heikki A.; Komulainen, Pirjo; Kooperberg, Charles; Krieger, Jose E.; Kubo, Michiaki; Kuusisto, Johanna; Langefeld, Carl D.; Langenberg, Claudia; Launer, Lenore J.; Lehne, Benjamin; Lewis, Cora E.; Li, Yize; Lim, Sing Hui; Lin, Shiow; Liu, Ching-Ti; Liu, Jianjun; Liu, Jingmin; Liu, Kiang; Liu, Yeheng; Loh, Marie; Lohman, Kurt K.; Long, Jirong; Louie, Tin; Magi, Reedik; Mahajan, Anubha; Meitinger, Thomas; Metspalu, Andres; Milani, Lili; Momozawa, Yukihide; Morris, Andrew P.; Mosley, Thomas H.; Munson, Peter; Murray, Alison D.; Nalls, Mike A.; Nasri, Ubaydah; Norris, Jill M.; North, Kari; Ogunniyi, Adesola; Padmanabhan, Sandosh; Palmas, Walter R.; Palmer, Nicholette D.; Pankow, James S.; Pedersen, Nancy L.; Peters, Annette; Peyser, Patricia A.; Polasek, Ozren; Raitakari, Olli T.; Renstrom, Frida; Rice, Treva K.; Ridker, Paul M.; Robino, Antonietta; Robinson, Jennifer G.; Rose, Lynda M.; Rudan, Igor; Sabanayagam, Charumathi; Salako, Babatunde L.; Sandow, Kevin; Schmidt, Carsten O.; Schreiner, Pamela J.; Scott, William R.; Seshadri, Sudha; Sever, Peter; Sitlani, Colleen M.; Smith, Jennifer A.; Snieder, Harold; Starr, John M.; Strauch, Konstantin; Tang, Hua; Taylor, Kent D.; Teo, Yik Ying; Tham, Yih Chung; Ultterlinden, Andre G.; Waldenberger, Melanie; Wang, Lihua; Wang, Ya X.; Bin Wei, Wen; Williams, Christine; Wilson, Gregory; Wojczynski, Mary K.; Yao, Jie; Yuan, Jian-Min; Zonderman, Alan B.; Becker, Diane M.; Boehnke, Michael; Bowden, Donald W.; Chambers, John C.; Chen, Yii-Der Ida; de Faire, Ulf; Deary, Ian J.; Esko, Tonu; Farrall, Martin; Forrester, Terrence; Franks, Paul W.; Freedman, Barry I.; Froguel, Philippe; Gasparini, Paolo; Gieger, Christian; Horta, Bernardo Lessa; Hung, Yi-Jen; Jonas, Jost B.; Kato, Norihiro; Kooner, Jaspal S.; Laakso, Markku; Lehtimaki, Terho; Liang, Kae-Woei; Magnusson, Patrik K. E.; Newman, Anne B.; Oldehinkel, Albertine J.; Pereira, Alexandre C.; Redline, Susan; Rettig, Rainer; Samani, Nilesh J.; Scott, James; Shu, Xiao-Ou; van der Harst, Pim; Wagenknecht, Lynne E.; Wareham, Nicholas J.; Watkins, Hugh; Weir, David R.; Wickremasinghe, Ananda R.; Wu, Tangchun; Zheng, Wei; Kamatani, Yoichiro; Laurie, Cathy C.; Bouchard, Claude; Cooper, Richard S.; Evans, Michele K.; Gudnason, Vilmundur; Kardia, Sharon L. R.; Kritchevsky, Stephen B.; Levy, Daniel; O'Connell, Jeff R.; Psaty, Bruce M.; van Dam, Rob M.; Sims, Mario; Arnett, Donna K.; Mook-Kanamori, Dennis O.; Kelly, Tanika N.; Fox, Ervin R.; Hayward, Caroline; Fornage, Myriam; Rotimi, Charles N.; Province, Michael A.; van Duijn, Cornelia M.; Tai, E. Shyong; Wong, Tien Yin; Loos, Ruth J. F.; Reiner, Alex P.; Rotter, Jerome I.; Zhu, Xiaofeng; Bierut, Laura J.; Gauderman, W. James; Caulfield, Mark J.; Elliott, Paul; Rice, Kenneth; Munroe, Patricia B.; Morrison, Alanna C.; Cupples, L. Adrienne; Rao, Dabeeru C.; Chasman, Daniel I.; Study, Lifelines Cohort

2018-01-01

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

Science.gov (United States)

Ried, Janina S.; Jeff M., Janina; Chu, Audrey Y.; Bragg-Gresham, Jennifer L.; van Dongen, Jenny; Huffman, Jennifer E.; Ahluwalia, Tarunveer S.; Cadby, Gemma; Eklund, Niina; Eriksson, Joel; Esko, Tõnu; Feitosa, Mary F.; Goel, Anuj; Gorski, Mathias; Hayward, Caroline; Heard-Costa, Nancy L.; Jackson, Anne U.; Jokinen, Eero; Kanoni, Stavroula; Kristiansson, Kati; Kutalik, Zoltán; Lahti, Jari; Luan, Jian'an; Mägi, Reedik; Mahajan, Anubha; Mangino, Massimo; Medina-Gomez, Carolina; Monda, Keri L.; Nolte, Ilja M.; Pérusse, Louis; Prokopenko, Inga; Qi, Lu; Rose, Lynda M.; Salvi, Erika; Smith, Megan T.; Snieder, Harold; Stančáková, Alena; Ju Sung, Yun; Tachmazidou, Ioanna; Teumer, Alexander; Thorleifsson, Gudmar; van der Harst, Pim; Walker, Ryan W.; Wang, Sophie R.; Wild, Sarah H.; Willems, Sara M.; Wong, Andrew; Zhang, Weihua; Albrecht, Eva; Couto Alves, Alexessander; Bakker, Stephan J. L.; Barlassina, Cristina; Bartz, Traci M.; Beilby, John; Bellis, Claire; Bergman, Richard N.; Bergmann, Sven; Blangero, John; Blüher, Matthias; Boerwinkle, Eric; Bonnycastle, Lori L.; Bornstein, Stefan R.; Bruinenberg, Marcel; Campbell, Harry; Chen, Yii-Der Ida; Chiang, Charleston W. K.; Chines, Peter S.; Collins, Francis S; Cucca, Fracensco; Cupples, L Adrienne; D'Avila, Francesca; de Geus, Eco J .C.; Dedoussis, George; Dimitriou, Maria; Döring, Angela; Eriksson, Johan G.; Farmaki, Aliki-Eleni; Farrall, Martin; Ferreira, Teresa; Fischer, Krista; Forouhi, Nita G.; Friedrich, Nele; Gjesing, Anette Prior; Glorioso, Nicola; Graff, Mariaelisa; Grallert, Harald; Grarup, Niels; Gräßler, Jürgen; Grewal, Jagvir; Hamsten, Anders; Harder, Marie Neergaard; Hartman, Catharina A.; Hassinen, Maija; Hastie, Nicholas; Hattersley, Andrew Tym; Havulinna, Aki S.; Heliövaara, Markku; Hillege, Hans; Hofman, Albert; Holmen, Oddgeir; Homuth, Georg; Hottenga, Jouke-Jan; Hui, Jennie; Husemoen, Lise Lotte; Hysi, Pirro G.; Isaacs, Aaron; Ittermann, Till; Jalilzadeh, Shapour; James, Alan L.; Jørgensen, Torben; Jousilahti, Pekka; Jula, Antti; Marie Justesen, Johanne; Justice, Anne E.; Kähönen, Mika; Karaleftheri, Maria; Tee Khaw, Kay; Keinanen-Kiukaanniemi, Sirkka M.; Kinnunen, Leena; Knekt, Paul B.; Koistinen, Heikki A.; Kolcic, Ivana; Kooner, Ishminder K.; Koskinen, Seppo; Kovacs, Peter; Kyriakou, Theodosios; Laitinen, Tomi; Langenberg, Claudia; Lewin, Alexandra M.; Lichtner, Peter; Lindgren, Cecilia M.; Lindström, Jaana; Linneberg, Allan; Lorbeer, Roberto; Lorentzon, Mattias; Luben, Robert; Lyssenko, Valeriya; Männistö, Satu; Manunta, Paolo; Leach, Irene Mateo; McArdle, Wendy L.; Mcknight, Barbara; Mohlke, Karen L.; Mihailov, Evelin; Milani, Lili; Mills, Rebecca; Montasser, May E.; Morris, Andrew P.; Müller, Gabriele; Musk, Arthur W.; Narisu, Narisu; Ong, Ken K.; Oostra, Ben A.; Osmond, Clive; Palotie, Aarno; Pankow, James S.; Paternoster, Lavinia; Penninx, Brenda W.; Pichler, Irene; Pilia, Maria G.; Polašek, Ozren; Pramstaller, Peter P.; Raitakari, Olli T; Rankinen, Tuomo; Rao, D. C.; Rayner, Nigel W.; Ribel-Madsen, Rasmus; Rice, Treva K.; Richards, Marcus; Ridker, Paul M.; Rivadeneira, Fernando; Ryan, Kathy A.; Sanna, Serena; Sarzynski, Mark A.; Scholtens, Salome; Scott, Robert A.; Sebert, Sylvain; Southam, Lorraine; Sparsø, Thomas Hempel; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stolk, Ronald P.; Strauch, Konstantin; Stringham, Heather M.; Swertz, Morris A.; Swift, Amy J.; Tönjes, Anke; Tsafantakis, Emmanouil; van der Most, Peter J.; Van Vliet-Ostaptchouk, Jana V.; Vandenput, Liesbeth; Vartiainen, Erkki; Venturini, Cristina; Verweij, Niek; Viikari, Jorma S.; Vitart, Veronique; Vohl, Marie-Claude; Vonk, Judith M.; Waeber, Gérard; Widén, Elisabeth; Willemsen, Gonneke; Wilsgaard, Tom; Winkler, Thomas W.; Wright, Alan F.; Yerges-Armstrong, Laura M.; Hua Zhao, Jing; Carola Zillikens, M.; Boomsma, Dorret I.; Bouchard, Claude; Chambers, John C.; Chasman, Daniel I.; Cusi, Daniele; Gansevoort, Ron T.; Gieger, Christian; Hansen, Torben; Hicks, Andrew A.; Hu, Frank; Hveem, Kristian; Jarvelin, Marjo-Riitta; Kajantie, Eero; Kooner, Jaspal S.; Kuh, Diana; Kuusisto, Johanna; Laakso, Markku; Lakka, Timo A.; Lehtimäki, Terho; Metspalu, Andres; Njølstad, Inger; Ohlsson, Claes; Oldehinkel, Albertine J.; Palmer, Lyle J.; Pedersen, Oluf; Perola, Markus; Peters, Annette; Psaty, Bruce M.; Puolijoki, Hannu; Rauramaa, Rainer; Rudan, Igor; Salomaa, Veikko; Schwarz, Peter E. H.; Shudiner, Alan R.; Smit, Jan H.; Sørensen, Thorkild I. A.; Spector, Timothy D.; Stefansson, Kari; Stumvoll, Michael; Tremblay, Angelo; Tuomilehto, Jaakko; Uitterlinden, André G.; Uusitupa, Matti; Völker, Uwe; Vollenweider, Peter; Wareham, Nicholas J.; Watkins, Hugh; Wilson, James F.; Zeggini, Eleftheria; Abecasis, Goncalo R.; Boehnke, Michael; Borecki, Ingrid B.; Deloukas, Panos; van Duijn, Cornelia M.; Fox, Caroline; Groop, Leif C.; Heid, Iris M.; Hunter, David J.; Kaplan, Robert C.; McCarthy, Mark I.; North, Kari E.; O'Connell, Jeffrey R.; Schlessinger, David; Thorsteinsdottir, Unnur; Strachan, David P.; Frayling, Timothy; Hirschhorn, Joel N.; Müller-Nurasyid, Martina; Loos, Ruth J. F.

2016-01-01

Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways. PMID:27876822

A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

DEFF Research Database (Denmark)

Evangelou, Evangelos; Kerkhof, Hanneke J; Styrkarsdottir, Unnur

2014-01-01

Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects.......Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects....

A Meta-Analysis Identifies New Loci Associated with Body Mass index in Individuals of African Ancestry

Science.gov (United States)

Monda, Keri L.; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C.Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F.; Chen, Guanji; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A.; Sun, Yan V.; Wojczynski, Mary K.; Yanek, Lisa R.; Aldrich, Melinda C.; Ademola, Adeyinka; Amos, Christopher I.; Bandera, Elisa V.; Bock, Cathryn H.; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E.; Carlson, Chris; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I.; Chiang, Charleston W.K.; Coetzee, Gerhard A.; Demerath, Ellen; Deming-Halverson, Sandra L.; Driver, Ryan W.; Dubbert, Patricia; Feitosa, Mary F.; Freedman, Barry I.; Gillanders, Elizabeth M.; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C.; Hennis, Anselm JM; Hernandez, Dena G.; McNeill, Lorna H.; Howard, Timothy D.; Howard, Barbara V.; Howard, Virginia J.; Johnson, Karen C.; Kang, Sun J.; Keating, Brendan J.; Kolb, Suzanne; Kuller, Lewis H.; Kutlar, Abdullah; Langefeld, Carl D.; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, JoAnn E.; Maixner, William; Meng, Yan A.; Monroe, Kristine R.; Morhason-Bello, Imran; Murphy, Adam B.; Mychaleckyj, Josyf C.; Nadukuru, Rajiv; Nathanson, Katherine L.; Nayak, Uma; N’Diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M. Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O.; Ojengbede, Oladosu; Olopade, Olufunmilayo I.; Palmer, Julie R.; Ruiz-Narvaez, Edward A.; Palmer, Nicholette D.; Press, Michael F.; Rampersaud, Evandine; Rasmussen-Torvik, Laura J.; Rodriguez-Gil, Jorge L.; Salako, Babatunde; Schadt, Eric E.; Schwartz, Ann G.; Shriner, Daniel A.; Siscovick, David; Smith, Shad B.; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K.; Spitz, Margaret R.; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O.; Tucker, Margaret A.; Van Den Berg, David J.; Velez Edwards, Digna R.; Wang, Zhaoming; Wiencke, John K.; Winkler, Thomas W.; Witte, John S.; Wrensch, Margaret; Wu, Xifeng; Yang, James J.; Levin, Albert M.; Young, Taylor R.; Zakai, Neil A.; Cushman, Mary; Zanetti, Krista A.; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G.; Zmuda, Joseph M.; Fernandes, Jyotika K.; Gilkeson, Gary S.; Kamen, Diane L.; Hunt, Kelly J.; Spruill, Ida J.; Ambrosone, Christine B.; Ambs, Stefan; Arnett, Donna K.; Atwood, Larry; Becker, Diane M.; Berndt, Sonja I.; Bernstein, Leslie; Blot, William J.; Borecki, Ingrid B.; Bottinger, Erwin P.; Bowden, Donald W.; Burke, Gregory; Chanock, Stephen J.; Cooper, Richard S.; Ding, Jingzhong; Duggan, David; Evans, Michele K.; Fox, Caroline; Garvey, W. Timothy; Bradfield, Jonathan P.; Hakonarson, Hakon; Grant, Struan F.A.; Hsing, Ann; Chu, Lisa; Hu, Jennifer J.; Huo, Dezheng; Ingles, Sue A.; John, Esther M.; Jordan, Joanne M.; Kabagambe, Edmond K.; Kardia, Sharon L.R.; Kittles, Rick A.; Goodman, Phyllis J.; Klein, Eric A.; Kolonel, Laurence N.; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C.; Mosley, Thomas H.; Padhukasahasram, Badri; Williams, L. Keoki; Patel, Sanjay R.; Peters, Ulrike; Pettaway, Curtis A.; Peyser, Patricia A.; Psaty, Bruce M.; Redline, Susan; Rotimi, Charles N.; Rybicki, Benjamin A.; Sale, Michèle M.; Schreiner, Pamela J.; Signorello, Lisa B.; Singleton, Andrew B.; Stanford, Janet L.; Strom, Sara S.; Thun, Michael J.; Vitolins, Mara; Zheng, Wei; Moore, Jason H.; Williams, Scott M.; Zhu, Xiaofeng; Zonderman, Alan B.; Kooperberg, Charles; Papanicolaou, George; Henderson, Brian E.; Reiner, Alex P.; Hirschhorn, Joel N.; Loos, Ruth JF; North, Kari E.; Haiman, Christopher A.

2013-01-01

Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry, and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one novel locus at 5q33 (GALNT10, rs7708584, p=3.4×10−11) and another at 7p15 when combined with data from the Giant consortium (MIR148A/NFE2L3, rs10261878, p=1.2×10−10). We also found suggestive evidence of an association at a third locus at 6q16 in the African ancestry sample (KLHL32, rs974417, p=6.9×10−8). Thirty-two of the 36 previously established BMI variants displayed directionally consistent effect estimates in our GWAS (binomial p=9.7×10−7), of which five reached genome-wide significance. These findings provide strong support for shared BMI loci across populations as well as for the utility of studying ancestrally diverse populations. PMID:23583978

A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

DEFF Research Database (Denmark)

Sung, Yun J; Winkler, Thomas W; de Las Fuentes, Lisa

2018-01-01

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genom...

Admixture mapping of 15,280 African Americans identifies obesity susceptibility loci on chromosomes 5 and X.

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Ching-Yu Cheng

2009-05-01

Full Text Available The prevalence of obesity (body mass index (BMI > or =30 kg/m(2 is higher in African Americans than in European Americans, even after adjustment for socioeconomic factors, suggesting that genetic factors may explain some of the difference. To identify genetic loci influencing BMI, we carried out a pooled analysis of genome-wide admixture mapping scans in 15,280 African Americans from 14 epidemiologic studies. Samples were genotyped at a median of 1,411 ancestry-informative markers. After adjusting for age, sex, and study, BMI was analyzed both as a dichotomized (top 20% versus bottom 20% and a continuous trait. We found that a higher percentage of European ancestry was significantly correlated with lower BMI (rho = -0.042, P = 1.6x10(-7. In the dichotomized analysis, we detected two loci on chromosome X as associated with increased African ancestry: the first at Xq25 (locus-specific LOD = 5.94; genome-wide score = 3.22; case-control Z = -3.94; and the second at Xq13.1 (locus-specific LOD = 2.22; case-control Z = -4.62. Quantitative analysis identified a third locus at 5q13.3 where higher BMI was highly significantly associated with greater European ancestry (locus-specific LOD = 6.27; genome-wide score = 3.46. Further mapping studies with dense sets of markers will be necessary to identify the alleles in these regions of chromosomes X and 5 that may be associated with variation in BMI.

Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease

DEFF Research Database (Denmark)

Zhao, Wei; Rasheed, Asif; Tikkanen, Emmi

2017-01-01

To evaluate the shared genetic etiology of type 2 diabetes (T2D) and coronary heart disease (CHD), we conducted a genome-wide, multi-ancestry study of genetic variation for both diseases in up to 265,678 subjects for T2D and 260,365 subjects for CHD. We identify 16 previously unreported loci for ...

Discovery and refinement of loci associated with lipid levels

DEFF Research Database (Denmark)

Willer, C. J.; Schmidt, E. M.; Sengupta, S.

2013-01-01

Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individ...... of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.......Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188......,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry...

GWAS of clinically defined gout and subtypes identifies multiple susceptibility loci that include urate transporter genes

OpenAIRE

Nakayama, Akiyoshi; Nakaoka, Hirofumi; Yamamoto, Ken; Sakiyama, Masayuki; Shaukat, Amara; Toyoda, Yu; Okada, Yukinori; Kamatani, Yoichiro; Nakamura, Takahiro; Takada, Tappei; Inoue, Katsuhisa; Yasujima, Tomoya; Yuasa, Hiroaki; Shirahama, Yuko; Nakashima, Hiroshi

2016-01-01

Objective A genome-wide association study (GWAS) of gout and its subtypes was performed to identify novel gout loci, including those that are subtype-specific. Methods Putative causal association signals from a GWAS of 945 clinically defined gout cases and 1213 controls from Japanese males were replicated with 1396 cases and 1268 controls using a custom chip of 1961 single nucleotide polymorphisms (SNPs). We also first conducted GWASs of gout subtypes. Replication with Caucasian and New Zeala...

Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations.

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Conall M O'Seaghdha

Full Text Available Calcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤ 21,679 additional individuals. Seven loci (six new regions in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12, rs10491003 upstream of GATA3 (P = 4.8E-09 and rs7481584 in CARS (P = 1.2E-10 implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11, also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10 are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis.

Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

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2013-01-01

textabstractBRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer),

A revised nomenclature for transcribed human endogenous retroviral loci

Science.gov (United States)

2011-01-01

Background Endogenous retroviruses (ERVs) and ERV-like sequences comprise 8% of the human genome. A hitherto unknown proportion of ERV loci are transcribed and thus contribute to the human transcriptome. A small proportion of these loci encode functional proteins. As the role of ERVs in normal and diseased biological processes is not yet established, transcribed ERV loci are of particular interest. As more transcribed ERV loci are likely to be identified in the near future, the development of a systematic nomenclature is important to ensure that all information on each locus can be easily retrieved. Results Here we present a revised nomenclature of transcribed human endogenous retroviral loci that sorts loci into groups based on Repbase classifications. Each symbol is of the format ERV + group symbol + unique number. Group symbols are based on a mixture of Repbase designations and well-supported symbols used in the literature. The presented guidelines will allow newly identified loci to be easily incorporated into the scheme. Conclusions The naming system will be employed by the HUGO Gene Nomenclature Committee for naming transcribed human ERV loci. We hope that the system will contribute to clarifying a certain aspect of a sometimes confusing nomenclature for human endogenous retroviruses. The presented system may also be employed for naming transcribed loci of human non-ERV repeat loci. PMID:21542922

Genome-wide DNA methylation study in human placenta identifies novel loci associated with maternal smoking during pregnancy.

Science.gov (United States)

Morales, Eva; Vilahur, Nadia; Salas, Lucas A; Motta, Valeria; Fernandez, Mariana F; Murcia, Mario; Llop, Sabrina; Tardon, Adonina; Fernandez-Tardon, Guillermo; Santa-Marina, Loreto; Gallastegui, Mara; Bollati, Valentina; Estivill, Xavier; Olea, Nicolas; Sunyer, Jordi; Bustamante, Mariona

2016-10-01

We conducted an epigenome-wide association study (EWAS) of DNA methylation in placenta in relation to maternal tobacco smoking during pregnancy and examined whether smoking-induced changes lead to low birthweight. DNA methylation in placenta was measured using the Illumina HumanMethylation450 BeadChip in 179 participants from the INfancia y Medio Ambiente (INMA) birth cohort. Methylation levels across 431 311 CpGs were tested for differential methylation between smokers and non-smokers in pregnancy. We took forward three top-ranking loci for further validation and replication by bisulfite pyrosequencing using data of 248 additional participants of the INMA cohort. We examined the association of methylation at smoking-associated loci with birthweight by applying a mediation analysis and a two-sample Mendelian randomization approach. Fifty CpGs were differentially methylated in placenta between smokers and non-smokers during pregnancy [false discovery rate (FDR) < 0.05]. We validated and replicated differential methylation at three top-ranking loci: cg27402634 located between LINC00086 and LEKR1, a gene previously related to birthweight in genome-wide association studies; cg20340720 (WBP1L); and cg25585967 and cg12294026 (TRIO). Dose-response relationships with maternal urine cotinine concentration during pregnancy were confirmed. Differential methylation at cg27402634 explained up to 36% of the lower birthweight in the offspring of smokers (Sobel P-value < 0.05). A two-sample Mendelian randomization analysis provided evidence that decreases in methylation levels at cg27402634 lead to decreases in birthweight. We identified novel loci differentially methylated in placenta in relation to maternal smoking during pregnancy. Adverse effects of maternal smoking on birthweight of the offspring may be mediated by alterations in the placental methylome. © The Author 2016; all rights reserved. Published by Oxford University Press on behalf of the International

Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk

NARCIS (Netherlands)

Couch, Fergus J.; Wang, Xianshu; McGuffog, Lesley; Lee, Andrew; Olswold, Curtis; Kuchenbaecker, Karoline B.; Soucy, Penny; Fredericksen, Zachary; Barrowdale, Daniel; Dennis, Joe; Gaudet, Mia M.; Dicks, Ed; Kosel, Matthew; Healey, Sue; Sinilnikova, Olga M.; Lee, Adam; Bacot, François; Vincent, Daniel; Hogervorst, Frans B. L.; Peock, Susan; Stoppa-Lyonnet, Dominique; Jakubowska, Anna; Radice, Paolo; Schmutzler, Rita Katharina; Domchek, Susan M.; Piedmonte, Marion; Singer, Christian F.; Friedman, Eitan; Thomassen, Mads; Hansen, Thomas V. O.; Neuhausen, Susan L.; Szabo, Csilla I.; Blanco, Ignacio; Greene, Mark H.; Karlan, Beth Y.; Garber, Judy; Phelan, Catherine M.; Weitzel, Jeffrey N.; Montagna, Marco; Olah, Edith; Andrulis, Irene L.; Godwin, Andrew K.; Yannoukakos, Drakoulis; Goldgar, David E.; Caldes, Trinidad; Nevanlinna, Heli; Osorio, Ana; Terry, Mary Beth; Daly, Mary B.; van Rensburg, Elizabeth J.; Hamann, Ute; Ramus, Susan J.; Toland, Amanda Ewart; Caligo, Maria A.; Olopade, Olufunmilayo I.; Tung, Nadine; Claes, Kathleen; Beattie, Mary S.; Southey, Melissa C.; Imyanitov, Evgeny N.; Tischkowitz, Marc; Janavicius, Ramunas; John, Esther M.; Kwong, Ava; Diez, Orland; Balmaña, Judith; Barkardottir, Rosa B.; Arun, Banu K.; Rennert, Gad; teo, Soo-Hwang; Ganz, Patricia A.; Campbell, Ian; van der Hout, Annemarie H.; van Deurzen, Carolien H. M.; Seynaeve, Caroline; Gómez Garcia, Encarna B.; van Leeuwen, Flora E.; Meijers-Heijboer, Hanne E. J.; Gille, Johannes J. P.; Ausems, Margreet G. E. M.; Blok, Marinus J.; Ligtenberg, Marjolijn J. L.; Rookus, Matti A.; Devilee, Peter; Verhoef, Senno; van Os, Theo A. M.; Wijnen, Juul T.; Frost, Debra; Ellis, Steve; Fineberg, Elena; Platte, Radka; Evans, D. Gareth; Izatt, Louise; Eeles, Rosalind A.; Adlard, Julian; Eccles, Diana M.; Cook, Jackie; Brewer, Carole; Douglas, Fiona; Hodgson, Shirley; Morrison, Patrick J.; Side, Lucy E.; Donaldson, Alan; Houghton, Catherine; Rogers, Mark T.; Dorkins, Huw; Eason, Jacqueline; Gregory, Helen; McCann, Emma; Murray, Alex; Calender, Alain; Hardouin, Agnès; Berthet, Pascaline; Delnatte, Capucine; Nogues, Catherine; Lasset, Christine; Houdayer, Claude; Leroux, Dominique; Rouleau, Etienne; Prieur, Fabienne; Damiola, Francesca; Sobol, Hagay; Coupier, Isabelle; Venat-Bouvet, Laurence; Castera, Laurent; Gauthier-Villars, Marion; Léoné, Mélanie; Pujol, Pascal; Mazoyer, Sylvie; Bignon, Yves-Jean; Złowocka-Perłowska, Elżbieta; Gronwald, Jacek; Lubinski, Jan; Durda, Katarzyna; Jaworska, Katarzyna; Huzarski, Tomasz; Spurdle, Amanda B.; Viel, Alessandra; Peissel, Bernard; Bonanni, Bernardo; Melloni, Giulia; Ottini, Laura; Papi, Laura; Varesco, Liliana; Tibiletti, Maria Grazia; Peterlongo, Paolo; Volorio, Sara; Manoukian, Siranoush; Pensotti, Valeria; Arnold, Norbert; Engel, Christoph; Deissler, Helmut; Gadzicki, Dorothea; Gehrig, Andrea; Kast, Karin; Rhiem, Kerstin; Meindl, Alfons; Niederacher, Dieter; Ditsch, Nina; Plendl, Hansjoerg; Preisler-Adams, Sabine; Engert, Stefanie; Sutter, Christian; Varon-Mateeva, Raymonda; Wappenschmidt, Barbara; Weber, Bernhard H. F.; Arver, Brita; Stenmark-Askmalm, Marie; Loman, Niklas; Rosenquist, Richard; Einbeigi, Zakaria; Nathanson, Katherine L.; Rebbeck, Timothy R.; Blank, Stephanie V.; Cohn, David E.; Rodriguez, Gustavo C.; Small, Laurie; Friedlander, Michael; Bae-Jump, Victoria L.; Fink-Retter, Anneliese; Rappaport, Christine; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; tea, Muy-Kheng; Lindor, Noralane M.; Kaufman, Bella; Shimon Paluch, Shani; Laitman, Yael; Skytte, Anne-Bine; Gerdes, Anne-Marie; Pedersen, Inge Sokilde; Moeller, Sanne Traasdahl; Kruse, Torben A.; Jensen, Uffe Birk; Vijai, Joseph; Sarrel, Kara; Robson, Mark; Kauff, Noah; Mulligan, Anna Marie; Glendon, Gord; Ozcelik, Hilmi; Ejlertsen, Bent; Nielsen, Finn C.; Jønson, Lars; Andersen, Mette K.; Ding, Yuan Chun; Steele, Linda; Foretova, Lenka; Teulé, Alex; Lazaro, Conxi; Brunet, Joan; Pujana, Miquel Angel; Mai, Phuong L.; Loud, Jennifer T.; Walsh, Christine; Lester, Jenny; Orsulic, Sandra; Narod, Steven A.; Herzog, Josef; Sand, Sharon R.; Tognazzo, Silvia; Agata, Simona; Vaszko, Tibor; Weaver, Joellen; Stavropoulou, Alexandra V.; Buys, Saundra S.; Romero, Atocha; de la Hoya, Miguel; Aittomäki, Kristiina; Muranen, Taru A.; Duran, Mercedes; Chung, Wendy K.; Lasa, Adriana; Dorfling, Cecilia M.; Miron, Alexander; Benitez, Javier; Senter, Leigha; Huo, Dezheng; Chan, Salina B.; Sokolenko, Anna P.; Chiquette, Jocelyne; Tihomirova, Laima; Friebel, Tara M.; Agnarsson, Bjarni A.; Lu, Karen H.; Lejbkowicz, Flavio; James, Paul A.; Hall, Per; Dunning, Alison M.; Tessier, Daniel; Cunningham, Julie; Slager, Susan L.; Wang, Chen; Hart, Steven; Stevens, Kristen; Simard, Jacques; Pastinen, Tomi; Pankratz, Vernon S.; Offit, Kenneth; Easton, Douglas F.; Chenevix-Trench, Georgia; Antoniou, Antonis C.

2013-01-01

BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a

Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk

DEFF Research Database (Denmark)

Couch, Fergus J; Wang, Xianshu; McGuffog, Lesley

2013-01-01

BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a fur...

New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism

Science.gov (United States)

Horikoshi, Momoko; Yaghootkar, Hanieh; Mook-Kanamori, Dennis O.; Sovio, Ulla; Taal, H. Rob; Hennig, Branwen J.; Bradfield, Jonathan P.; St. Pourcain, Beate; Evans, David M.; Charoen, Pimphen; Kaakinen, Marika; Cousminer, Diana L.; Lehtimäki, Terho; Kreiner-Møller, Eskil; Warrington, Nicole M.; Bustamante, Mariona; Feenstra, Bjarke; Berry, Diane J.; Thiering, Elisabeth; Pfab, Thiemo; Barton, Sheila J.; Shields, Beverley M.; Kerkhof, Marjan; van Leeuwen, Elisabeth M.; Fulford, Anthony J.; Kutalik, Zoltán; Zhao, Jing Hua; den Hoed, Marcel; Mahajan, Anubha; Lindi, Virpi; Goh, Liang-Kee; Hottenga, Jouke-Jan; Wu, Ying; Raitakari, Olli T.; Harder, Marie N.; Meirhaeghe, Aline; Ntalla, Ioanna; Salem, Rany M.; Jameson, Karen A.; Zhou, Kaixin; Monies, Dorota M.; Lagou, Vasiliki; Kirin, Mirna; Heikkinen, Jani; Adair, Linda S.; Alkuraya, Fowzan S.; Al-Odaib, Ali; Amouyel, Philippe; Andersson, Ehm Astrid; Bennett, Amanda J.; Blakemore, Alexandra I.F.; Buxton, Jessica L.; Dallongeville, Jean; Das, Shikta; de Geus, Eco J. C.; Estivill, Xavier; Flexeder, Claudia; Froguel, Philippe; Geller, Frank; Godfrey, Keith M.; Gottrand, Frédéric; Groves, Christopher J.; Hansen, Torben; Hirschhorn, Joel N.; Hofman, Albert; Hollegaard, Mads V.; Hougaard, David M.; Hyppönen, Elina; Inskip, Hazel M.; Isaacs, Aaron; Jørgensen, Torben; Kanaka-Gantenbein, Christina; Kemp, John P.; Kiess, Wieland; Kilpeläinen, Tuomas O.; Klopp, Norman; Knight, Bridget A.; Kuzawa, Christopher W.; McMahon, George; Newnham, John P.; Niinikoski, Harri; Oostra, Ben A.; Pedersen, Louise; Postma, Dirkje S.; Ring, Susan M.; Rivadeneira, Fernando; Robertson, Neil R.; Sebert, Sylvain; Simell, Olli; Slowinski, Torsten; Tiesler, Carla M.T.; Tönjes, Anke; Vaag, Allan; Viikari, Jorma S.; Vink, Jacqueline M.; Vissing, Nadja Hawwa; Wareham, Nicholas J.; Willemsen, Gonneke; Witte, Daniel R.; Zhang, Haitao; Zhao, Jianhua; Wilson, James F.; Stumvoll, Michael; Prentice, Andrew M.; Meyer, Brian F.; Pearson, Ewan R.; Boreham, Colin A.G.; Cooper, Cyrus; Gillman, Matthew W.; Dedoussis, George V.; Moreno, Luis A; Pedersen, Oluf; Saarinen, Maiju; Mohlke, Karen L.; Boomsma, Dorret I.; Saw, Seang-Mei; Lakka, Timo A.; Körner, Antje; Loos, Ruth J.F.; Ong, Ken K.; Vollenweider, Peter; van Duijn, Cornelia M.; Koppelman, Gerard H.; Hattersley, Andrew T.; Holloway, John W.; Hocher, Berthold; Heinrich, Joachim; Power, Chris; Melbye, Mads; Guxens, Mònica; Pennell, Craig E.; Bønnelykke, Klaus; Bisgaard, Hans; Eriksson, Johan G.; Widén, Elisabeth; Hakonarson, Hakon; Uitterlinden, André G.; Pouta, Anneli; Lawlor, Debbie A.; Smith, George Davey; Frayling, Timothy M.; McCarthy, Mark I.; Grant, Struan F.A.; Jaddoe, Vincent W.V.; Jarvelin, Marjo-Riitta; Timpson, Nicholas J.; Prokopenko, Inga; Freathy, Rachel M.

2012-01-01

Birth weight within the normal range is associated with a variety of adult-onset diseases, but the mechanisms behind these associations are poorly understood1. Previous genome-wide association studies identified a variant in the ADCY5 gene associated both with birth weight and type 2 diabetes, and a second variant, near CCNL1, with no obvious link to adult traits2. In an expanded genome-wide association meta-analysis and follow-up study (up to 69,308 individuals of European descent from 43 studies), we have now extended the number of genome-wide significant loci to seven, accounting for a similar proportion of variance to maternal smoking. Five of the loci are known to be associated with other phenotypes: ADCY5 and CDKAL1 with type 2 diabetes; ADRB1 with adult blood pressure; and HMGA2 and LCORL with adult height. Our findings highlight genetic links between fetal growth and postnatal growth and metabolism. PMID:23202124

New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism

DEFF Research Database (Denmark)

Horikoshi, Momoko; Yaghootkar, Hanieh; Mook-Kanamori, Dennis O

2013-01-01

-wide significance to 7, accounting for a similar proportion of variance as maternal smoking. Five of the loci are known to be associated with other phenotypes: ADCY5 and CDKAL1 with type 2 diabetes, ADRB1 with adult blood pressure and HMGA2 and LCORL with adult height. Our findings highlight genetic links between...... diabetes and a second variant, near CCNL1, with no obvious link to adult traits. In an expanded genome-wide association meta-analysis and follow-up study of birth weight (of up to 69,308 individuals of European descent from 43 studies), we have now extended the number of loci associated at genome......Birth weight within the normal range is associated with a variety of adult-onset diseases, but the mechanisms behind these associations are poorly understood. Previous genome-wide association studies of birth weight identified a variant in the ADCY5 gene associated both with birth weight and type 2...

Genome-wide association study identifies multiple susceptibility loci for multiple myeloma

DEFF Research Database (Denmark)

Mitchell, Jonathan S; Li, Ni; Weinhold, Niels

2016-01-01

Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a ...

Integrative analysis of a cross-loci regulation network identifies App as a gene regulating insulin secretion from pancreatic islets.

Directory of Open Access Journals (Sweden)

Zhidong Tu

Full Text Available Complex diseases result from molecular changes induced by multiple genetic factors and the environment. To derive a systems view of how genetic loci interact in the context of tissue-specific molecular networks, we constructed an F2 intercross comprised of >500 mice from diabetes-resistant (B6 and diabetes-susceptible (BTBR mouse strains made genetically obese by the Leptin(ob/ob mutation (Lep(ob. High-density genotypes, diabetes-related clinical traits, and whole-transcriptome expression profiling in five tissues (white adipose, liver, pancreatic islets, hypothalamus, and gastrocnemius muscle were determined for all mice. We performed an integrative analysis to investigate the inter-relationship among genetic factors, expression traits, and plasma insulin, a hallmark diabetes trait. Among five tissues under study, there are extensive protein-protein interactions between genes responding to different loci in adipose and pancreatic islets that potentially jointly participated in the regulation of plasma insulin. We developed a novel ranking scheme based on cross-loci protein-protein network topology and gene expression to assess each gene's potential to regulate plasma insulin. Unique candidate genes were identified in adipose tissue and islets. In islets, the Alzheimer's gene App was identified as a top candidate regulator. Islets from 17-week-old, but not 10-week-old, App knockout mice showed increased insulin secretion in response to glucose or a membrane-permeant cAMP analog, in agreement with the predictions of the network model. Our result provides a novel hypothesis on the mechanism for the connection between two aging-related diseases: Alzheimer's disease and type 2 diabetes.

Elucidating novel dysfunctional pathways in Alzheimer's disease by integrating loci identified in genetic and epigenetic studies

Directory of Open Access Journals (Sweden)

Adam R. Smith

2016-06-01

Full Text Available Alzheimer's disease is a complex neurodegenerative disorder. A large number of genome-wide association studies have been performed, which have been supplemented more recently by the first epigenome-wide association studies, leading to the identification of a number of novel loci altered in disease. Twin studies have shown monozygotic twin discordance for Alzheimer's disease (Gatz et al., 2006, leading to the conclusion that a combination of genetic and epigenetic mechanisms is likely to be involved in disease etiology (Lunnon & Mill, 2013. This review focuses on identifying overlapping pathways between published genome-wide association studies and epigenome-wide association studies, highlighting dysfunctional synaptic, lipid metabolism, plasma membrane/cytoskeleton, mitochondrial, and immune cell activation pathways. Identifying common pathways altered in genetic and epigenetic studies will aid our understanding of disease mechanisms and identify potential novel targets for pharmacological intervention.

Characterization of EST-based SSR loci in the spruce budworm, Choristoneura fumiferana (Lepidoptera: Tortricidae)

Science.gov (United States)

B.M.T. Brunet; D. Doucet; B.R. Sturtevant; F.A.H. Sperling

2013-01-01

After identifying 114 microsatellite loci from Choristoneura fumiferana expressed sequence tags, 87 loci were assayed in a panel of 11 wild-caught individuals, giving 29 polymorphic loci. Further analysis of 20 of these loci on 31 individuals collected from a single population in northern Minnesota identified 14 in Hardy-Weinberg equilibrium.

Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness.

Science.gov (United States)

Heilmann-Heimbach, Stefanie; Herold, Christine; Hochfeld, Lara M; Hillmer, Axel M; Nyholt, Dale R; Hecker, Julian; Javed, Asif; Chew, Elaine G Y; Pechlivanis, Sonali; Drichel, Dmitriy; Heng, Xiu Ting; Del Rosario, Ricardo C-H; Fier, Heide L; Paus, Ralf; Rueedi, Rico; Galesloot, Tessel E; Moebus, Susanne; Anhalt, Thomas; Prabhakar, Shyam; Li, Rui; Kanoni, Stavroula; Papanikolaou, George; Kutalik, Zoltán; Deloukas, Panos; Philpott, Michael P; Waeber, Gérard; Spector, Tim D; Vollenweider, Peter; Kiemeney, Lambertus A L M; Dedoussis, George; Richards, J Brent; Nothnagel, Michael; Martin, Nicholas G; Becker, Tim; Hinds, David A; Nöthen, Markus M

2017-03-08

Male-pattern baldness (MPB) is a common and highly heritable trait characterized by androgen-dependent, progressive hair loss from the scalp. Here, we carry out the largest GWAS meta-analysis of MPB to date, comprising 10,846 early-onset cases and 11,672 controls from eight independent cohorts. We identify 63 MPB-associated loci (Pbiological basis with numerous other human phenotypes and may deserve evaluation as an early prognostic marker, for example, for prostate cancer, sudden cardiac arrest and neurodegenerative disorders.

Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

Science.gov (United States)

Drong, Alexander W; Abbott, James; Wahl, Simone; Tan, Sian-Tsung; Scott, William R; Campanella, Gianluca; Chadeau-Hyam, Marc; Afzal, Uzma; Ahluwalia, Tarunveer S; Bonder, Marc Jan; Chen, Peng; Dehghan, Abbas; Edwards, Todd L; Esko, Tõnu; Go, Min Jin; Harris, Sarah E; Hartiala, Jaana; Kasela, Silva; Kasturiratne, Anuradhani; Khor, Chiea-Chuen; Kleber, Marcus E; Li, Huaixing; Yu Mok, Zuan; Nakatochi, Masahiro; Sapari, Nur Sabrina; Saxena, Richa; Stewart, Alexandre F R; Stolk, Lisette; Tabara, Yasuharu; Teh, Ai Ling; Wu, Ying; Wu, Jer-Yuarn; Zhang, Yi; Aits, Imke; Da Silva Couto Alves, Alexessander; Das, Shikta; Dorajoo, Rajkumar; Hopewell, Jemma C; Kim, Yun Kyoung; Koivula, Robert W; Luan, Jian’an; Lyytikäinen, Leo-Pekka; Nguyen, Quang N; Pereira, Mark A; Postmus, Iris; Raitakari, Olli T; Bryan, Molly Scannell; Scott, Robert A; Sorice, Rossella; Tragante, Vinicius; Traglia, Michela; White, Jon; Yamamoto, Ken; Zhang, Yonghong; Adair, Linda S; Ahmed, Alauddin; Akiyama, Koichi; Asif, Rasheed; Aung, Tin; Barroso, Inês; Bjonnes, Andrew; Braun, Timothy R; Cai, Hui; Chang, Li-Ching; Chen, Chien-Hsiun; Cheng, Ching-Yu; Chong, Yap-Seng; Collins, Rory; Courtney, Regina; Davies, Gail; Delgado, Graciela; Do, Loi D; Doevendans, Pieter A; Gansevoort, Ron T; Gao, Yu-Tang; Grammer, Tanja B; Grarup, Niels; Grewal, Jagvir; Gu, Dongfeng; Wander, Gurpreet S; Hartikainen, Anna-Liisa; Hazen, Stanley L; He, Jing; Heng, Chew-Kiat; Hixson, James E; Hofman, Albert; Hsu, Chris; Huang, Wei; Husemoen, Lise L N; Hwang, Joo-Yeon; Ichihara, Sahoko; Igase, Michiya; Isono, Masato; Justesen, Johanne M; Katsuya, Tomohiro; Kibriya, Muhammad G; Kim, Young Jin; Kishimoto, Miyako; Koh, Woon-Puay; Kohara, Katsuhiko; Kumari, Meena; Kwek, Kenneth; Lee, Nanette R; Lee, Jeannette; Liao, Jiemin; Lieb, Wolfgang; Liewald, David C M; Matsubara, Tatsuaki; Matsushita, Yumi; Meitinger, Thomas; Mihailov, Evelin; Milani, Lili; Mills, Rebecca; Mononen, Nina; Müller-Nurasyid, Martina; Nabika, Toru; Nakashima, Eitaro; Ng, Hong Kiat; Nikus, Kjell; Nutile, Teresa; Ohkubo, Takayoshi; Ohnaka, Keizo; Parish, Sarah; Paternoster, Lavinia; Peng, Hao; Peters, Annette; Pham, Son T; Pinidiyapathirage, Mohitha J; Rahman, Mahfuzar; Rakugi, Hiromi; Rolandsson, Olov; Ann Rozario, Michelle; Ruggiero, Daniela; Sala, Cinzia F; Sarju, Ralhan; Shimokawa, Kazuro; Snieder, Harold; Sparsø, Thomas; Spiering, Wilko; Starr, John M; Stott, David J; Stram, Daniel O; Sugiyama, Takao; Szymczak, Silke; Tang, W H Wilson; Tong, Lin; Trompet, Stella; Turjanmaa, Väinö; Ueshima, Hirotsugu; Uitterlinden, André G; Umemura, Satoshi; Vaarasmaki, Marja; van Dam, Rob M; van Gilst, Wiek H; van Veldhuisen, Dirk J; Viikari, Jorma S; Waldenberger, Melanie; Wang, Yiqin; Wang, Aili; Wilson, Rory; Wong, Tien-Yin; Xiang, Yong-Bing; Yamaguchi, Shuhei; Ye, Xingwang; Young, Robin D; Young, Terri L; Yuan, Jian-Min; Zhou, Xueya; Asselbergs, Folkert W; Ciullo, Marina; Clarke, Robert; Deloukas, Panos; Franke, Andre; Franks, Paul W; Franks, Steve; Friedlander, Yechiel; Gross, Myron D; Guo, Zhirong; Hansen, Torben; Jarvelin, Marjo-Riitta; Jørgensen, Torben; Jukema, J Wouter; kähönen, Mika; Kajio, Hiroshi; Kivimaki, Mika; Lee, Jong-Young; Lehtimäki, Terho; Linneberg, Allan; Miki, Tetsuro; Pedersen, Oluf; Samani, Nilesh J; Sørensen, Thorkild I A; Takayanagi, Ryoichi; Toniolo, Daniela; Ahsan, Habibul; Allayee, Hooman; Chen, Yuan-Tsong; Danesh, John; Deary, Ian J; Franco, Oscar H; Franke, Lude; Heijman, Bastiaan T; Holbrook, Joanna D; Isaacs, Aaron; Kim, Bong-Jo; Lin, Xu; Liu, Jianjun; März, Winfried; Metspalu, Andres; Mohlke, Karen L; Sanghera, Dharambir K; Shu, Xiao-Ou; van Meurs, Joyce B J; Vithana, Eranga; Wickremasinghe, Ananda R; Wijmenga, Cisca; Wolffenbuttel, Bruce H W; Yokota, Mitsuhiro; Zheng, Wei; Zhu, Dingliang; Vineis, Paolo; Kyrtopoulos, Soterios A; Kleinjans, Jos C S; McCarthy, Mark I; Soong, Richie; Gieger, Christian; Scott, James

2016-01-01

We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10−11 to 5.0 × 10−21). The sentinel blood pressure SNPs are enriched for association with DNA methylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNA methylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10−6). Our results provide new evidence for the role of DNA methylation in blood pressure regulation. PMID:26390057

A meta-analysis of genome-wide association scans identifies IL18RAP, PTPN2, TAGAP, and PUS10 as shared risk loci for Crohn's disease and celiac disease.

Directory of Open Access Journals (Sweden)

Eleonora A M Festen

2011-01-01

Full Text Available Crohn's disease (CD and celiac disease (CelD are chronic intestinal inflammatory diseases, involving genetic and environmental factors in their pathogenesis. The two diseases can co-occur within families, and studies suggest that CelD patients have a higher risk to develop CD than the general population. These observations suggest that CD and CelD may share common genetic risk loci. Two such shared loci, IL18RAP and PTPN2, have already been identified independently in these two diseases. The aim of our study was to explicitly identify shared risk loci for these diseases by combining results from genome-wide association study (GWAS datasets of CD and CelD. Specifically, GWAS results from CelD (768 cases, 1,422 controls and CD (3,230 cases, 4,829 controls were combined in a meta-analysis. Nine independent regions had nominal association p-value <1.0 x 10⁻⁵ in this meta-analysis and showed evidence of association to the individual diseases in the original scans (p-value < 1 x 10⁻² in CelD and < 1 x 10⁻³ in CD. These include the two previously reported shared loci, IL18RAP and PTPN2, with p-values of 3.37 x 10⁻⁸ and 6.39 x 10⁻⁹, respectively, in the meta-analysis. The other seven had not been reported as shared loci and thus were tested in additional CelD (3,149 cases and 4,714 controls and CD (1,835 cases and 1,669 controls cohorts. Two of these loci, TAGAP and PUS10, showed significant evidence of replication (Bonferroni corrected p-values <0.0071 in the combined CelD and CD replication cohorts and were firmly established as shared risk loci of genome-wide significance, with overall combined p-values of 1.55 x 10⁻¹⁰ and 1.38 x 10⁻¹¹ respectively. Through a meta-analysis of GWAS data from CD and CelD, we have identified four shared risk loci: PTPN2, IL18RAP, TAGAP, and PUS10. The combined analysis of the two datasets provided the power, lacking in the individual GWAS for single diseases, to detect shared loci with a

Genome-wide Meta-analyses of Breast, Ovarian and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by At Least Two Cancer Types

Science.gov (United States)

Kar, Siddhartha P.; Beesley, Jonathan; Al Olama, Ali Amin; Michailidou, Kyriaki; Tyrer, Jonathan; Kote-Jarai, ZSofia; Lawrenson, Kate; Lindstrom, Sara; Ramus, Susan J.; Thompson, Deborah J.; Kibel, Adam S.; Dansonka-Mieszkowska, Agnieszka; Michael, Agnieszka; Dieffenbach, Aida K.; Gentry-Maharaj, Aleksandra; Whittemore, Alice S.; Wolk, Alicja; Monteiro, Alvaro; Peixoto, Ana; Kierzek, Andrzej; Cox, Angela; Rudolph, Anja; Gonzalez-Neira, Anna; Wu, Anna H.; Lindblom, Annika; Swerdlow, Anthony; Ziogas, Argyrios; Ekici, Arif B.; Burwinkel, Barbara; Karlan, Beth Y.; Nordestgaard, Børge G.; Blomqvist, Carl; Phelan, Catherine; McLean, Catriona; Pearce, Celeste Leigh; Vachon, Celine; Cybulski, Cezary; Slavov, Chavdar; Stegmaier, Christa; Maier, Christiane; Ambrosone, Christine B.; Høgdall, Claus K.; Teerlink, Craig C.; Kang, Daehee; Tessier, Daniel C.; Schaid, Daniel J.; Stram, Daniel O.; Cramer, Daniel W.; Neal, David E.; Eccles, Diana; Flesch-Janys, Dieter; Velez Edwards, Digna R.; Wokozorczyk, Dominika; Levine, Douglas A.; Yannoukakos, Drakoulis; Sawyer, Elinor J.; Bandera, Elisa V.; Poole, Elizabeth M.; Goode, Ellen L.; Khusnutdinova, Elza; Høgdall, Estrid; Song, Fengju; Bruinsma, Fiona; Heitz, Florian; Modugno, Francesmary; Hamdy, Freddie C.; Wiklund, Fredrik; Giles, Graham G.; Olsson, Håkan; Wildiers, Hans; Ulmer, Hans-Ulrich; Pandha, Hardev; Risch, Harvey A.; Darabi, Hatef; Salvesen, Helga B.; Nevanlinna, Heli; Gronberg, Henrik; Brenner, Hermann; Brauch, Hiltrud; Anton-Culver, Hoda; Song, Honglin; Lim, Hui-Yi; McNeish, Iain; Campbell, Ian; Vergote, Ignace; Gronwald, Jacek; Lubiński, Jan; Stanford, Janet L.; Benítez, Javier; Doherty, Jennifer A.; Permuth, Jennifer B.; Chang-Claude, Jenny; Donovan, Jenny L.; Dennis, Joe; Schildkraut, Joellen M.; Schleutker, Johanna; Hopper, John L.; Kupryjanczyk, Jolanta; Park, Jong Y.; Figueroa, Jonine; Clements, Judith A.; Knight, Julia A.; Peto, Julian; Cunningham, Julie M.; Pow-Sang, Julio; Batra, Jyotsna; Czene, Kamila; Lu, Karen H.; Herkommer, Kathleen; Khaw, Kay-Tee; Matsuo, Keitaro; Muir, Kenneth; Offitt, Kenneth; Chen, Kexin; Moysich, Kirsten B.; Aittomäki, Kristiina; Odunsi, Kunle; Kiemeney, Lambertus A.; Massuger, Leon F.A.G.; Fitzgerald, Liesel M.; Cook, Linda S.; Cannon-Albright, Lisa; Hooning, Maartje J.; Pike, Malcolm C.; Bolla, Manjeet K.; Luedeke, Manuel; Teixeira, Manuel R.; Goodman, Marc T.; Schmidt, Marjanka K.; Riggan, Marjorie; Aly, Markus; Rossing, Mary Anne; Beckmann, Matthias W.; Moisse, Matthieu; Sanderson, Maureen; Southey, Melissa C.; Jones, Michael; Lush, Michael; Hildebrandt, Michelle A. T.; Hou, Ming-Feng; Schoemaker, Minouk J.; Garcia-Closas, Montserrat; Bogdanova, Natalia; Rahman, Nazneen; Le, Nhu D.; Orr, Nick; Wentzensen, Nicolas; Pashayan, Nora; Peterlongo, Paolo; Guénel, Pascal; Brennan, Paul; Paulo, Paula; Webb, Penelope M.; Broberg, Per; Fasching, Peter A.; Devilee, Peter; Wang, Qin; Cai, Qiuyin; Li, Qiyuan; Kaneva, Radka; Butzow, Ralf; Kopperud, Reidun Kristin; Schmutzler, Rita K.; Stephenson, Robert A.; MacInnis, Robert J.; Hoover, Robert N.; Winqvist, Robert; Ness, Roberta; Milne, Roger L.; Travis, Ruth C.; Benlloch, Sara; Olson, Sara H.; McDonnell, Shannon K.; Tworoger, Shelley S.; Maia, Sofia; Berndt, Sonja; Lee, Soo Chin; Teo, Soo-Hwang; Thibodeau, Stephen N.; Bojesen, Stig E.; Gapstur, Susan M.; Kjær, Susanne Krüger; Pejovic, Tanja; Tammela, Teuvo L.J.; Dörk, Thilo; Brüning, Thomas; Wahlfors, Tiina; Key, Tim J.; Edwards, Todd L.; Menon, Usha; Hamann, Ute; Mitev, Vanio; Kosma, Veli-Matti; Setiawan, Veronica Wendy; Kristensen, Vessela; Arndt, Volker; Vogel, Walther; Zheng, Wei; Sieh, Weiva; Blot, William J.; Kluzniak, Wojciech; Shu, Xiao-Ou; Gao, Yu-Tang; Schumacher, Fredrick; Freedman, Matthew L.; Berchuck, Andrew; Dunning, Alison M.; Simard, Jacques; Haiman, Christopher A.; Spurdle, Amanda; Sellers, Thomas A.; Hunter, David J.; Henderson, Brian E.; Kraft, Peter; Chanock, Stephen J.; Couch, Fergus J.; Hall, Per; Gayther, Simon A.; Easton, Douglas F.; Chenevix-Trench, Georgia; Eeles, Rosalind; Pharoah, Paul D.P.; Lambrechts, Diether

2016-01-01

Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P cancer meta-analysis. PMID:27432226

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

DEFF Research Database (Denmark)

Zeggini, Eleftheria; Scott, Laura J; Saxena, Richa

2008-01-01

analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and approximately 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample......Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published...

A two-stage meta-analysis identifies several new loci for Parkinson's disease.

NARCIS (Netherlands)

Plagnol, V.; Nalls, M.A.; Bras, J.M.; Hernandez, D.; Sharma, M.; Sheerin, U.M.; Saad, M.; Simon-Sanchez, J.; Schulte, C.; Lesage, S.; Sveinbjornsdottir, S.; Amouyel, P.; Arepalli, S.; Band, G.; Barker, R.A.; Bellinguez, C.; Ben-Shlomo, Y.; Berendse, H.W.; Berg, D; Bhatia, K.P.; Bie, R.M. de; Biffi, A.; Bloem, B.R.; Bochdanovits, Z.; Bonin, M.; Brockmann, K.; Brooks, J.; Burn, D.J.; Charlesworth, G.; Chen, H.; Chinnery, P.F.; Chong, S.; Clarke, C.E.; Cookson, M.R.; Cooper, J.M.; Corvol, J.C.; Counsell, J.; Damier, P.; Dartigues, J.F.; Deloukas, P.; Deuschl, G.; Dexter, D.T.; Dijk, K.D. van; Dillman, A.; Durif, F.; Durr, A.; Edkins, S.; Evans, J.R.; Foltynie, T.; Freeman, C.; Gao, J.; Gardner, M.; Gibbs, J.R.; Goate, A.; Gray, E.; Guerreiro, R.; Gustafsson, O.; Harris, C.; Hellenthal, G.; Hilten, J.J. van; Hofman, A.; Hollenbeck, A.; Holton, J.L.; Hu, M.; Huang, X.; Huber, H; Hudson, G.; Hunt, S.E.; Huttenlocher, J.; Illig, T.; Jonsson, P.V.; Langford, C.; Lees, A.J.; Lichtner, P.; Limousin, P.; Lopez, G.; McNeill, A.; Moorby, C.; Moore, M.; Morris, H.A.; Morrison, K.E.; Mudanohwo, E.; O'Sullivan, S.S; Pearson, J.; Pearson, R.; Perlmutter, J.; Petursson, H.; Pirinen, M.; Polnak, P.; Post, B.; Potter, S.C.; Ravina, B.; Revesz, T.; Riess, O.; Rivadeneira, F.; Rizzu, P.; Ryten, M.; Sawcer, S.J.; Schapira, A.; Scheffer, H.; Shaw, K.; Shoulson, I.; Sidransky, E.; Silva, R. de; Smith, C.; Spencer, C.C.; Stefansson, H.; Steinberg, S.; Stockton, J.D.; Strange, A.; Su, Z.; Talbot, K.; Tanner, C.M.; Tashakkori-Ghanbaria, A.; Tison, F.; Trabzuni, D.; Traynor, B.J.; Uitterlinden, A.G.; Vandrovcova, J.; Velseboer, D.; Vidailhet, M.; Vukcevic, D.; Walker, R.; Warrenburg, B.P.C. van de; Weale, M.E.; Wickremaratchi, M.; Williams, N.; Williams-Gray, C.H.; Winder-Rhodes, S.; Stefansson, K.; Martinez, M.; Donnelly, P.; Singleton, A.B.; Hardy, J.; Heutink, P.; Brice, A.; Gasser, T.; Wood, N.W.

2011-01-01

A previous genome-wide association (GWA) meta-analysis of 12,386 PD cases and 21,026 controls conducted by the International Parkinson's Disease Genomics Consortium (IPDGC) discovered or confirmed 11 Parkinson's disease (PD) loci. This first analysis of the two-stage IPDGC study

Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure

NARCIS (Netherlands)

Visconti, A. (Alessia); D.L. Duffy (David); F. Liu (Fan); G. Zhu (Gu); Wu, W. (Wenting); C. Yan (Chen); P.G. Hysi (Pirro); C. Zeng (Changqing); Sanna, M. (Marianna); M.M. Iles (Mark M.); P.P. Kanetsky (Peter P.); F. Demenais (Florence); M.A. Hamer (Merel); A.G. Uitterlinden (André); M.A. Ikram (Arfan); T.E.C. Nijsten (Tamar); N.G. Martin (Nicholas); M.H. Kayser (Manfred); T.D. Spector (Timothy); J. Han (Jiali); V. Bataille (Veronique); M. Falchi (Mario)

2018-01-01

textabstractThe skin's tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm

Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

DEFF Research Database (Denmark)

Amin Al Olama, Ali; Dadaev, Tokhir; Hazelett, Dennis J

2015-01-01

associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated...... identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have...

Common genetic variation and novel loci associated with volumetric mammographic density.

Science.gov (United States)

Brand, Judith S; Humphreys, Keith; Li, Jingmei; Karlsson, Robert; Hall, Per; Czene, Kamila

2018-04-17

Mammographic density (MD) is a strong and heritable intermediate phenotype of breast cancer, but much of its genetic variation remains unexplained. We conducted a genetic association study of volumetric MD in a Swedish mammography screening cohort (n = 9498) to identify novel MD loci. Associations with volumetric MD phenotypes (percent dense volume, absolute dense volume, and absolute nondense volume) were estimated using linear regression adjusting for age, body mass index, menopausal status, and six principal components. We also estimated the proportion of MD variance explained by additive contributions from single-nucleotide polymorphisms (SNP-based heritability [h 2 SNP ]) in 4948 participants of the cohort. In total, three novel MD loci were identified (at P associated with breast cancer in available meta-analysis data including 122,977 breast cancer cases and 105,974 control subjects (P < 0.05). h 2 SNP (SE) estimates for percent dense, absolute dense, and nondense volume were 0.29 (0.07), 0.31 (0.07), and 0.25 (0.07), respectively. Corresponding ratios of h 2 SNP to previously observed narrow-sense h 2 estimates in the same cohort were 0.46, 0.72, and 0.41, respectively. These findings provide new insights into the genetic basis of MD and biological mechanisms linking MD to breast cancer risk. Apart from identifying three novel loci, we demonstrate that at least 25% of the MD variance is explained by common genetic variation with h 2 SNP /h 2 ratios varying between dense and nondense MD components.

Identifying Copy Number Variants under Selection in Geographically Structured Populations Based on -statistics

Directory of Open Access Journals (Sweden)

Hae-Hiang Song

2012-06-01

Full Text Available Large-scale copy number variants (CNVs in the human provide the raw material for delineating population differences, as natural selection may have affected at least some of the CNVs thus far discovered. Although the examination of relatively large numbers of specific ethnic groups has recently started in regard to inter-ethnic group differences in CNVs, identifying and understanding particular instances of natural selection have not been performed. The traditional FST measure, obtained from differences in allele frequencies between populations, has been used to identify CNVs loci subject to geographically varying selection. Here, we review advances and the application of multinomial-Dirichlet likelihood methods of inference for identifying genome regions that have been subject to natural selection with the FST estimates. The contents of presentation are not new; however, this review clarifies how the application of the methods to CNV data, which remains largely unexplored, is possible. A hierarchical Bayesian method, which is implemented via Markov Chain Monte Carlo, estimates locus-specific FST and can identify outlying CNVs loci with large values of FST. By applying this Bayesian method to the publicly available CNV data, we identified the CNV loci that show signals of natural selection, which may elucidate the genetic basis of human disease and diversity.

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

DEFF Research Database (Denmark)

McKay, James D; Hung, Rayjean J; Han, Younghun

2017-01-01

Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genome-wide association ...... receptor, CHRNA2, and the telomere-related genes OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer....

A Two-Stage Meta-Analysis Identifies Several New Loci for Parkinson's Disease

NARCIS (Netherlands)

Plagnol, Vincent; Nalls, Michael A.; Bras, Jose M.; Hernandez, Dena G.; Sharma, Manu; Sheerin, Una-Marie; Saad, Mohamad; Simon-Sanchez, Javier; Schulte, Claudia; Lesage, Suzanne; Sveinbjornsdottir, Sigurlaug; Amouyel, Philippe; Arepalli, Sampath; Band, Gavin; Barker, Roger A.; Bellinguez, Celine; Ben-Shlomo, Yoav; Berendse, Henk W.; Berg, Daniela; Bhatia, Kailash; de Bie, Rob M. A.; Biffi, Alessandro; Bloem, Bas; Bochdanovits, Zoltan; Bonin, Michael; Brockmann, Kathrin; Brooks, Janet; Burn, David J.; Charlesworth, Gavin; Chen, Honglei; Chinnery, Patrick F.; Chong, Sean; Clarke, Carl E.; Cookson, Mark R.; Cooper, J. Mark; Corvol, Jean Christophe; Counsell, Carl; Damier, Philippe; Dartigues, Jean-Francois; Deloukas, Panos; Deuschl, Guenther; Dexter, David T.; van Dijk, Karin D.; Dillman, Allissa; Durif, Frank; Duerr, Alexandra; Edkins, Sarah; Evans, Jonathan R.; Foltynie, Thomas; Freeman, Colin; Gao, Jianjun; Gardner, Michelle; Gibbs, J. Raphael; Goate, Alison; Gray, Emma; Guerreiro, Rita; Gustafsson, Omar; Harris, Clare; Hellenthal, Garrett; van Hilten, Jacobus J.; Hofman, Albert; Hollenbeck, Albert; Holton, Janice; Hu, Michele; Huang, Xuemei; Huber, Heiko; Hudson, Gavin; Hunt, Sarah E.; Huttenlocher, Johanna; Illig, Thomas; Jonsson, Palmi V.; Langford, Cordelia; Lees, Andrew; Lichtner, Peter; Limousin, Patricia; Lopez, Grisel; Lorenz, Delia; McNeill, Alisdair; Moorby, Catriona; Moore, Matthew; Morris, Huw; Morrison, Karen E.; Mudanohwo, Ese; O'Sullivan, Sean S.; Pearson, Justin; Pearson, Richard; Perlmutter, Joel S.; Petursson, Hjoervar; Pirinen, Matti; Pollak, Pierre; Post, Bart; Potter, Simon; Ravina, Bernard; Revesz, Tamas; Riess, Olaf; Rivadeneira, Fernando; Rizzu, Patrizia; Ryten, Mina; Sawcer, Stephen; Schapira, Anthony; Scheffer, Hans; Shaw, Karen; Shoulson, Ira; Sidransky, Ellen; de Silva, Rohan; Smith, Colin; Spencer, Chris C. A.; Stefansson, Hreinn; Steinberg, Stacy; Stockton, Joanna D.; Strange, Amy; Su, Zhan; Talbot, Kevin; Tanner, Carlie M.; Tashakkori-Ghanbaria, Avazeh; Tison, Francois; Trabzuni, Daniah; Traynor, Bryan J.; Uitterlinden, Andre G.; Vandrovcova, Jana; Velseboer, Daan; Vidailhet, Marie; Vukcevic, Damjan; Walker, Robert; van de Warrenburg, Bart; Weale, Michael E.; Wickremaratchi, Mirdhu; Williams, Nigel; Williams-Gray, Caroline H.; Winder-Rhodes, Sophie; Stefansson, Kari; Martinez, Maria; Donnelly, Peter; Singleton, Andrew B.; Hardy, John; Heutink, Peter; Brice, Alexis; Gasser, Thomas; Wood, Nicholas W.

2011-01-01

A previous genome-wide association (GWA) meta-analysis of 12,386 PD cases and 21,026 controls conducted by the International Parkinson's Disease Genomics Consortium (IPDGC) discovered or confirmed 11 Parkinson's disease (PD) loci. This first analysis of the two-stage IPDGC study focused on the set

The Case for High Resolution Extended 6-Loci HLA Typing for Identifying Related Donors in the Indian Subcontinent.

Science.gov (United States)

Agarwal, Rajat Kumar; Kumari, Ankita; Sedai, Amit; Parmar, Lalith; Dhanya, Rakesh; Faulkner, Lawrence

2017-09-01

%) consanguinity was unknown. We identified 18 donors (6%; 13 siblings and 5 parents) who would have been considered a 12/12 match by LR HLA typing alone but were found not to match on extended HR typing. In this group, 11 donors (61%) were from consanguineous families, 3 donors (17%) had no reported consanguinity, and in 4 donors (22%) consanguinity was unknown. Outcome analysis showed that the actuarial proportion of patients with GVHD was 4% in the FT group compared with 16% in the ST group, with log-rank P = .1952. The ST group included 2 patients with grade III-IV acute GVHD and 1 patient each with moderate and severe chronic GVHD, whereas the FT group only 1 patient with grade III acute GVHD. We conclude that even in the context of related donors, the use of LR and/or 3-loci (A, B, and DRB1) HR HLA typing might result in a sizable risk of missing a clinically relevant mismatch, which may have an adverse impact on transplantation outcomes. In the Indian subcontinent, this observation is not limited to putatively compatible parents or consanguineous families; we recommend full 6-loci HR HLA typing even for matched related BMTs. Copyright © 2017 The American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Variant-aware saturating mutagenesis using multiple Cas9 nucleases identifies regulatory elements at trait-associated loci.

Science.gov (United States)

Canver, Matthew C; Lessard, Samuel; Pinello, Luca; Wu, Yuxuan; Ilboudo, Yann; Stern, Emily N; Needleman, Austen J; Galactéros, Frédéric; Brugnara, Carlo; Kutlar, Abdullah; McKenzie, Colin; Reid, Marvin; Chen, Diane D; Das, Partha Pratim; A Cole, Mitchel; Zeng, Jing; Kurita, Ryo; Nakamura, Yukio; Yuan, Guo-Cheng; Lettre, Guillaume; Bauer, Daniel E; Orkin, Stuart H

2017-04-01

Cas9-mediated, high-throughput, saturating in situ mutagenesis permits fine-mapping of function across genomic segments. Disease- and trait-associated variants identified in genome-wide association studies largely cluster at regulatory loci. Here we demonstrate the use of multiple designer nucleases and variant-aware library design to interrogate trait-associated regulatory DNA at high resolution. We developed a computational tool for the creation of saturating-mutagenesis libraries with single or multiple nucleases with incorporation of variants. We applied this methodology to the HBS1L-MYB intergenic region, which is associated with red-blood-cell traits, including fetal hemoglobin levels. This approach identified putative regulatory elements that control MYB expression. Analysis of genomic copy number highlighted potential false-positive regions, thus emphasizing the importance of off-target analysis in the design of saturating-mutagenesis experiments. Together, these data establish a widely applicable high-throughput and high-resolution methodology to identify minimal functional sequences within large disease- and trait-associated regions.

Discovery and refinement of loci associated with lipid levels

NARCIS (Netherlands)

Willer, Cristen J.; Schmidt, Ellen M.; Sengupta, Sebanti; Peloso, Gina M.; Gustafsson, Stefan; Kanoni, Stavroula; Ganna, Andrea; Chen, Jin; Buchkovich, Martin L.; Mora, Samia; Beckmann, Jacques S.; Bragg-Gresham, Jennifer L.; Chang, Hsing-Yi; Demirkan, Ayşe; den Hertog, Heleen M.; Do, Ron; Donnelly, Louise A.; Ehret, Georg B.; Esko, Tõnu; Feitosa, Mary F.; Ferreira, Teresa; Fischer, Krista; Fontanillas, Pierre; Fraser, Ross M.; Freitag, Daniel F.; Gurdasani, Deepti; Heikkilä, Kauko; Hyppönen, Elina; Isaacs, Aaron; Jackson, Anne U.; Johansson, Asa; Johnson, Toby; Kaakinen, Marika; Kettunen, Johannes; Kleber, Marcus E.; Li, Xiaohui; Luan, Jian'an; Lyytikäinen, Leo-Pekka; Magnusson, Patrik K. E.; Mangino, Massimo; Mihailov, Evelin; Montasser, May E.; Müller-Nurasyid, Martina; Nolte, Ilja M.; O'Connell, Jeffrey R.; Palmer, Cameron D.; Perola, Markus; Petersen, Ann-Kristin; Sanna, Serena; Saxena, Richa; Service, Susan K.; Shah, Sonia; Shungin, Dmitry; Sidore, Carlo; Song, Ci; Strawbridge, Rona J.; Surakka, Ida; Tanaka, Toshiko; Teslovich, Tanya M.; Thorleifsson, Gudmar; van den Herik, Evita G.; Voight, Benjamin F.; Volcik, Kelly A.; Waite, Lindsay L.; Wong, Andrew; Wu, Ying; Zhang, Weihua; Absher, Devin; Asiki, Gershim; Barroso, Inês; Been, Latonya F.; Bolton, Jennifer L.; Bonnycastle, Lori L.; Brambilla, Paolo; Burnett, Mary S.; Cesana, Giancarlo; Dimitriou, Maria; Doney, Alex S. F.; Döring, Angela; Elliott, Paul; Epstein, Stephen E.; Eyjolfsson, Gudmundur Ingi; Gigante, Bruna; Goodarzi, Mark O.; Grallert, Harald; Gravito, Martha L.; Groves, Christopher J.; Hallmans, Göran; Hartikainen, Anna-Liisa; Hayward, Caroline; Hernandez, Dena; Hicks, Andrew A.; Holm, Hilma; Hung, Yi-Jen; Illig, Thomas; Jones, Michelle R.; Kaleebu, Pontiano; Kastelein, John J. P.; Khaw, Kay-Tee; Kim, Eric; Klopp, Norman; Komulainen, Pirjo; Kumari, Meena; Langenberg, Claudia; Lehtimäki, Terho; Lin, Shih-Yi; Lindström, Jaana; Loos, Ruth J. F.; Mach, François; McArdle, Wendy L.; Meisinger, Christa; Mitchell, Braxton D.; Müller, Gabrielle; Nagaraja, Ramaiah; Narisu, Narisu; Nieminen, Tuomo V. M.; Nsubuga, Rebecca N.; Olafsson, Isleifur; Ong, Ken K.; Palotie, Aarno; Papamarkou, Theodore; Pomilla, Cristina; Pouta, Anneli; Rader, Daniel J.; Reilly, Muredach P.; Ridker, Paul M.; Rivadeneira, Fernando; Rudan, Igor; Ruokonen, Aimo; Samani, Nilesh; Scharnagl, Hubert; Seeley, Janet; Silander, Kaisa; Stancáková, Alena; Stirrups, Kathleen; Swift, Amy J.; Tiret, Laurence; Uitterlinden, Andre G.; van Pelt, L. Joost; Vedantam, Sailaja; Wainwright, Nicholas; Wijmenga, Cisca; Wild, Sarah H.; Willemsen, Gonneke; Wilsgaard, Tom; Wilson, James F.; Young, Elizabeth H.; Zhao, Jing Hua; Adair, Linda S.; Arveiler, Dominique; Assimes, Themistocles L.; Bandinelli, Stefania; Bennett, Franklyn; Bochud, Murielle; Boehm, Bernhard O.; Boomsma, Dorret I.; Borecki, Ingrid B.; Bornstein, Stefan R.; Bovet, Pascal; Burnier, Michel; Campbell, Harry; Chakravarti, Aravinda; Chambers, John C.; Chen, Yii-Der Ida; Collins, Francis S.; Cooper, Richard S.; Danesh, John; Dedoussis, George; de Faire, Ulf; Feranil, Alan B.; Ferrières, Jean; Ferrucci, Luigi; Freimer, Nelson B.; Gieger, Christian; Groop, Leif C.; Gudnason, Vilmundur; Gyllensten, Ulf; Hamsten, Anders; Harris, Tamara B.; Hingorani, Aroon; Hirschhorn, Joel N.; Hofman, Albert; Hovingh, G. Kees; Hsiung, Chao Agnes; Humphries, Steve E.; Hunt, Steven C.; Hveem, Kristian; Iribarren, Carlos; Järvelin, Marjo-Riitta; Jula, Antti; Kähönen, Mika; Kaprio, Jaakko; Kesäniemi, Antero; Kivimaki, Mika; Kooner, Jaspal S.; Koudstaal, Peter J.; Krauss, Ronald M.; Kuh, Diana; Kuusisto, Johanna; Kyvik, Kirsten O.; Laakso, Markku; Lakka, Timo A.; Lind, Lars; Lindgren, Cecilia M.; Martin, Nicholas G.; März, Winfried; McCarthy, Mark I.; McKenzie, Colin A.; Meneton, Pierre; Metspalu, Andres; Moilanen, Leena; Morris, Andrew D.; Munroe, Patricia B.; Njølstad, Inger; Pedersen, Nancy L.; Power, Chris; Pramstaller, Peter P.; Price, Jackie F.; Psaty, Bruce M.; Quertermous, Thomas; Rauramaa, Rainer; Saleheen, Danish; Salomaa, Veikko; Sanghera, Dharambir K.; Saramies, Jouko; Schwarz, Peter E. H.; Sheu, Wayne H.-H.; Shuldiner, Alan R.; Siegbahn, Agneta; Spector, Tim D.; Stefansson, Kari; Strachan, David P.; Tayo, Bamidele O.; Tremoli, Elena; Tuomilehto, Jaakko; Uusitupa, Matti; van Duijn, Cornelia M.; Vollenweider, Peter; Wallentin, Lars; Wareham, Nicholas J.; Whitfield, John B.; Wolffenbuttel, Bruce H. R.; Ordovas, Jose M.; Boerwinkle, Eric; Palmer, Colin N. A.; Thorsteinsdottir, Unnur; Chasman, Daniel I.; Rotter, Jerome I.; Franks, Paul W.; Ripatti, Samuli; Cupples, L. Adrienne; Sandhu, Manjinder S.; Rich, Stephen S.; Boehnke, Michael; Deloukas, Panos; Kathiresan, Sekar; Mohlke, Karen L.; Ingelsson, Erik; Abecasis, Gonçalo R.

2013-01-01

Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577

Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations

OpenAIRE

Liang, Jingjing; Le, Thu H.; Edwards, Digna R. Velez; Tayo, Bamidele O.; Gaulton, Kyle J.; Smith, Jennifer A.; Lu, Yingchang; Jensen, Richard A.; Chen, Guanjie; Yanek, Lisa R.; Schwander, Karen; Tajuddin, Salman M.; Sofer, Tamar; Kim, Wonji; Kayima, James

2017-01-01

© 2017 Public Library of Science. All Rights Reserved. Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genom...

Immunochip analyses identify a novel risk locus for primary biliary cirrhosis at 13q14, multiple independent associations at four established risk loci and epistasis between 1p31 and 7q32 risk variants

Science.gov (United States)

Juran, Brian D.; Hirschfield, Gideon M.; Invernizzi, Pietro; Atkinson, Elizabeth J.; Li, Yafang; Xie, Gang; Kosoy, Roman; Ransom, Michael; Sun, Ye; Bianchi, Ilaria; Schlicht, Erik M.; Lleo, Ana; Coltescu, Catalina; Bernuzzi, Francesca; Podda, Mauro; Lammert, Craig; Shigeta, Russell; Chan, Landon L.; Balschun, Tobias; Marconi, Maurizio; Cusi, Daniele; Heathcote, E. Jenny; Mason, Andrew L.; Myers, Robert P.; Milkiewicz, Piotr; Odin, Joseph A.; Luketic, Velimir A.; Bacon, Bruce R.; Bodenheimer, Henry C.; Liakina, Valentina; Vincent, Catherine; Levy, Cynthia; Franke, Andre; Gregersen, Peter K.; Bossa, Fabrizio; Gershwin, M. Eric; deAndrade, Mariza; Amos, Christopher I.; Lazaridis, Konstantinos N.; Seldin, Michael F.; Siminovitch, Katherine A.

2012-01-01

To further characterize the genetic basis of primary biliary cirrhosis (PBC), we genotyped 2426 PBC patients and 5731 unaffected controls from three independent cohorts using a single nucleotide polymorphism (SNP) array (Immunochip) enriched for autoimmune disease risk loci. Meta-analysis of the genotype data sets identified a novel disease-associated locus near the TNFSF11 gene at 13q14, provided evidence for association at six additional immune-related loci not previously implicated in PBC and confirmed associations at 19 of 22 established risk loci. Results of conditional analyses also provided evidence for multiple independent association signals at four risk loci, with haplotype analyses suggesting independent SNP effects at the 2q32 and 16p13 loci, but complex haplotype driven effects at the 3q25 and 6p21 loci. By imputing classical HLA alleles from this data set, four class II alleles independently contributing to the association signal from this region were identified. Imputation of genotypes at the non-HLA loci also provided additional associations, but none with stronger effects than the genotyped variants. An epistatic interaction between the IL12RB2 risk locus at 1p31and the IRF5 risk locus at 7q32 was also identified and suggests a complementary effect of these loci in predisposing to disease. These data expand the repertoire of genes with potential roles in PBC pathogenesis that need to be explored by follow-up biological studies. PMID:22936693

Hyper-Methylated Loci Persisting from Sessile Serrated Polyps to Serrated Cancers.

Science.gov (United States)

Andrew, Angeline S; Baron, John A; Butterly, Lynn F; Suriawinata, Arief A; Tsongalis, Gregory J; Robinson, Christina M; Amos, Christopher I

2017-03-02

Although serrated polyps were historically considered to pose little risk, it is now understood that progression down the serrated pathway could account for as many as 15%-35% of colorectal cancers. The sessile serrated adenoma/polyp (SSA/P) is the most prevalent pre-invasive serrated lesion. Our objective was to identify the CpG loci that are persistently hyper-methylated during serrated carcinogenesis, from the early SSA/P lesion through the later cancer phases of neoplasia development. We queried the loci hyper-methylated in serrated cancers within our rightsided SSA/Ps from the New Hampshire Colonoscopy Registry, using the Illumina Infinium Human Methylation 450 k panel to comprehensively assess the DNA methylation status. We identified CpG loci and regions consistently hyper-methylated throughout the serrated carcinogenesis spectrum, in both our SSA/P specimens and in serrated cancers. Hyper-methylated CpG loci included the known the tumor suppressor gene RET (p = 5.72 x 10-10), as well as loci in differentially methylated regions for GSG1L, MIR4493, NTNG1, MCIDAS, ZNF568, and RERG. The hyper-methylated loci that we identified help characterize the biology of SSA/P development, and could be useful as therapeutic targets, or for future identification of patients who may benefit from shorter surveillance intervals.

Analyses of germline variants associated with ovarian cancer survival identify functional candidates at the 1q22 and 19p12 outcome loci

DEFF Research Database (Denmark)

Glubb, Dylan M; Johnatty, Sharon E; Quinn, Michael C J

2017-01-01

We previously identified associations with ovarian cancer outcome at five genetic loci. To identify putatively causal genetic variants and target genes, we prioritized two ovarian outcome loci (1q22 and 19p12) for further study. Bioinformatic and functional genetic analyses indicated that MEF2D...... and ZNF100 are targets of candidate outcome variants at 1q22 and 19p12, respectively. At 19p12, the chromatin interaction of a putative regulatory element with the ZNF100 promoter region correlated with candidate outcome variants. At 1q22, putative regulatory elements enhanced MEF2D promoter activity...... and haplotypes containing candidate outcome variants modulated these effects. In a public dataset, MEF2D and ZNF100 expression were both associated with ovarian cancer progression-free or overall survival time. In an extended set of 6,162 epithelial ovarian cancer patients, we found that functional candidates...

Meta-analysis of loci associated with age at natural menopause in African-American women

Science.gov (United States)

Chen, Christina T.L.; Liu, Ching-Ti; Chen, Gary K.; Andrews, Jeanette S.; Arnold, Alice M.; Dreyfus, Jill; Franceschini, Nora; Garcia, Melissa E.; Kerr, Kathleen F.; Li, Guo; Lohman, Kurt K.; Musani, Solomon K.; Nalls, Michael A.; Raffel, Leslie J.; Smith, Jennifer; Ambrosone, Christine B.; Bandera, Elisa V.; Bernstein, Leslie; Britton, Angela; Brzyski, Robert G.; Cappola, Anne; Carlson, Christopher S.; Couper, David; Deming, Sandra L.; Goodarzi, Mark O.; Heiss, Gerardo; John, Esther M.; Lu, Xiaoning; Le Marchand, Loic; Marciante, Kristin; Mcknight, Barbara; Millikan, Robert; Nock, Nora L.; Olshan, Andrew F.; Press, Michael F.; Vaiyda, Dhananjay; Woods, Nancy F.; Taylor, Herman A.; Zhao, Wei; Zheng, Wei; Evans, Michele K.; Harris, Tamara B.; Henderson, Brian E.; Kardia, Sharon L.R.; Kooperberg, Charles; Liu, Yongmei; Mosley, Thomas H.; Psaty, Bruce; Wellons, Melissa; Windham, Beverly G.; Zonderman, Alan B.; Cupples, L. Adrienne; Demerath, Ellen W.; Haiman, Christopher; Murabito, Joanne M.; Rajkovic, Aleksandar

2014-01-01

Age at menopause marks the end of a woman's reproductive life and its timing associates with risks for cancer, cardiovascular and bone disorders. GWAS and candidate gene studies conducted in women of European ancestry have identified 27 loci associated with age at menopause. The relevance of these loci to women of African ancestry has not been previously studied. We therefore sought to uncover additional menopause loci and investigate the relevance of European menopause loci by performing a GWAS meta-analysis in 6510 women with African ancestry derived from 11 studies across the USA. We did not identify any additional loci significantly associated with age at menopause in African Americans. We replicated the associations between six loci and age at menopause (P-value < 0.05): AMHR2, RHBLD2, PRIM1, HK3/UMC1, BRSK1/TMEM150B and MCM8. In addition, associations of 14 loci are directionally consistent with previous reports. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in women of African ancestry residing in USA. PMID:24493794

Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations

NARCIS (Netherlands)

Seow, Wei Jie; Matsuo, Keitaro; Hsiung, Chao Agnes; Shiraishi, Kouya; Song, Minsun; Kim, Hee Nam; Wong, Maria Pik; Hong, Yun-Chul; Hosgood, H. Dean; Wang, Zhaoming; Chang, I-Shou; Wang, Jiu-Cun; Chatterjee, Nilanjan; Tucker, Margaret; Wei, Hu; Mitsudomi, Tetsuya; Zheng, Wei; Kim, Jin Hee; Zhou, Baosen; Caporaso, Neil E; Albanes, Demetrius; Shin, Min-Ho; Chung, Lap Ping; An, She-Juan; Wang, Ping; Zheng, Hong; Yatabe, Yasushi; Zhang, Xu-Chao; Kim, Young Tae; Shu, Xiao Ou; Kim, Young-Chul; Bassig, Bryan A.; Chang, Jiang; Ho, James Chung Man; Ji, Bu Tian; Kubo, Michiaki; Daigo, Yataro; Ito, Hidemi; Momozawa, Yukihide; Ashikawa, Kyota; Kamatani, Yoichiro; Honda, Takayuki; Sakamoto, Hiromi; Kunitoh, Hideo; Tsuta, Koji; Watanabe, Shun-Ichi; Nokihara, Hiroshi; Miyagi, Yohei; Nakayama, Haruhiko; Matsumoto, Shingo; Tsuboi, Masahiro; Goto, Koichi; Yin, Zhihua; Shi, Jianxin; Takahashi, Atsushi; Goto, Akiteru; Minamiya, Yoshihiro; Shimizu, Kimihiro; Tanaka, Kazumi; Wu, Tangchun; Wei, Fusheng; Wong, Jason Y Y; Matsuda, Fumihiko; Su, Jian; Kim, Yeul Hong; Oh, In-Jae; Song, Fengju; Lee, Victor Ho Fun; Su, Wu-Chou; Chen, Yuh-Min; Chang, Gee-Chen; Chen, Kuan-Yu; Huang, Ming-Shyan; Yang, Pan-Chyr; Lin, Hsien-Chih; Xiang, Yong-Bing; Seow, Adeline; Park, Jae Yong; Kweon, Sun-Seog; Chen, Chien-Jen; Li, Haixin; Gao, Yu Tang; Wu, Chen; Qian, Biyun; Lu, Daru; Liu, Jianjun; Jeon, Hyo-Sung; Hsiao, Chin-Fu; Sung, Jae Sook; Tsai, Ying-Huang; Jung, Yoo Jin; Guo, Huan; Hu, Zhibin; Wang, Wen-Chang; Chung, Charles C.; Lawrence, Charles; Burdett, Laurie; Yeager, Meredith; Jacobs, Kevin B.; Hutchinson, Amy; Berndt, Sonja I.; He, Xingzhou; Wu, Wei; Wang, Junwen; Li, Yuqing; Choi, Jin Eun; Park, Kyong Hwa; Sung, Sook Whan; Liu, Li; Kang, Chang Hyun; Hu, Lingmin; Chen, Chung-Hsing; Yang, Tsung-Ying; Xu, Jun; Guan, Peng; Tan, Wen; Wang, Chih-Liang; Sihoe, Alan Dart Loon; Chen, Ying; Choi, Yi Young; Hung, Jen-Yu; Kim, Jun Suk; Yoon, Ho-Il; Cai, Qiuyin; Lin, Chien-Chung; Park, In Kyu; Xu, Ping; Dong, Jing; Kim, Christopher; He, Qincheng; Perng, Reury-Perng; Chen, Chih-Yi; Vermeulen, Roel; Wu, Junjie; Lim, Wei-Yen; Chen, Kun-Chieh; Chan, John K C; Chu, Minjie; Li, Yao-Jen; Li, Jihua; Chen, Hongyan; Yu, Chong-Jen; Jin, Li; Lo, Yen-Li; Chen, Ying-Hsiang; Fraumeni, Joseph F.; Liu, Jie; Yamaji, Taiki; Yang, Yang; Hicks, Belynda; Wyatt, Kathleen; Li, Shengchao A; Dai, Juncheng; Ma, Hongxia; Jin, Guangfu; Song, Bao; Wang, Zhehai; Cheng, Sensen; Li, Xuelian; Ren, Yangwu; Cui, Ping; Iwasaki, Motoki; Shimazu, Taichi; Tsugane, Shoichiro; Zhu, Junjie; Jiang, Gening; Fei, Ke; Wu, Guoping; Chien, Li-Hsin; Chen, Hui-Ling; Su, Yu-Chun; Tsai, Fang-Yu; Chen, Yi-Song; Yu, Jinming; Stevens, Victoria L; Laird-Offringa, Ite A; Marconett, Crystal N; Lin, Dongxin; Chen, Kexin; Wu, Yi-Long; Landi, Maria Teresa; Shen, Hongbing; Rothman, Nathaniel; Kohno, Takashi; Chanock, Stephen J.; Lan, Qing

2017-01-01

To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping in an additional 10,780 never-smoking cases and 10,938 never-smoking

Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

DEFF Research Database (Denmark)

Couch, Fergus J; Kuchenbaecker, Karoline B; Michailidou, Kyriaki

2016-01-01

Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10(-8)) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci...

Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

NARCIS (Netherlands)

Couch, Fergus J; Kuchenbaecker, Karoline B; Michailidou, Kyriaki; Mendoza-Fandino, Gustavo A; Nord, Silje; Lilyquist, Janna; Olswold, Curtis; Hallberg, Emily; Agata, Simona; Ahsan, Habibul; Aittomäki, Kristiina; Ambrosone, Christine; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Arun, Banu K; Arver, Brita; Barile, Monica; Barkardottir, Rosa B; Barrowdale, Daniel; Beckmann, Lars; Beckmann, Matthias W; Benitez, Javier; Blank, Stephanie V; Blomqvist, Carl; Bogdanova, Natalia V; Bojesen, Stig E; Bolla, Manjeet K; Bonanni, Bernardo; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Buys, Saundra S; Caldes, Trinidad; Caligo, Maria A; Canzian, Federico; Carpenter, Jane; Chang-Claude, Jenny; Chanock, Stephen J; Chung, Wendy K; Claes, Kathleen B M; Cox, Angela; Cross, Simon S; Cunningham, Julie M; Czene, Kamila; Daly, Mary B; Damiola, Francesca; Darabi, Hatef; de la Hoya, Miguel; Devilee, Peter; Diez, Orland; Ding, Yuan C; Dolcetti, Riccardo; Domchek, Susan M; Dorfling, Cecilia M; Dos-Santos-Silva, Isabel; Dumont, Martine; Dunning, Alison M; Eccles, Diana M; Ehrencrona, Hans; Ekici, Arif B; Eliassen, Heather; Ellis, Steve; Fasching, Peter A; Figueroa, Jonine; Flesch-Janys, Dieter; Försti, Asta; Fostira, Florentia; Foulkes, William D; Friebel, Tara; Friedman, Eitan; Frost, Debra; Gabrielson, Marike; Gammon, Marilie D; Ganz, Patricia A; Gapstur, Susan M; Garber, Judy; Gaudet, Mia M; Gayther, Simon A; Gerdes, Anne-Marie; Ghoussaini, Maya; Giles, Graham G; Glendon, Gord; Godwin, Andrew K; Goldberg, Mark S; Goldgar, David E; González-Neira, Anna; Greene, Mark H; Gronwald, Jacek; Guénel, Pascal; Gunter, Marc; Haeberle, Lothar; Haiman, Christopher A; Hamann, Ute; Hansen, Thomas V O; Hart, Steven; Healey, Sue; Heikkinen, Tuomas; Henderson, Brian E; Herzog, Josef; Hogervorst, Frans B L; Hollestelle, Antoinette; Hooning, Maartje J; Hoover, Robert N; Hopper, John L; Humphreys, Keith; Hunter, David J; Huzarski, Tomasz; Imyanitov, Evgeny N; Isaacs, Claudine; Jakubowska, Anna; James, Paul; Janavicius, Ramunas; Jensen, Uffe Birk; John, Esther M; Jones, Michael; Kabisch, Maria; Kar, Siddhartha; Karlan, Beth Y; Khan, Sofia; Khaw, Kay-Tee; Kibriya, Muhammad G; Knight, Julia A; Ko, Yon-Dschun; Konstantopoulou, Irene; Kosma, Veli-Matti; Kristensen, Vessela; Kwong, Ava; Laitman, Yael; Lambrechts, Diether; Lazaro, Conxi; Lee, Eunjung; Le Marchand, Loic; Lester, Jenny; Lindblom, Annika; Lindor, Noralane; Lindstrom, Sara; Liu, Jianjun; Long, Jirong; Lubinski, Jan; Mai, Phuong L; Makalic, Enes; Malone, Kathleen E; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Marme, Frederik; Martens, John W M; McGuffog, Lesley; Meindl, Alfons; Miller, Austin; Milne, Roger L; Miron, Penelope; Montagna, Marco; Mazoyer, Sylvie; Mulligan, Anna M; Muranen, Taru A; Nathanson, Katherine L; Neuhausen, Susan L; Nevanlinna, Heli; Nordestgaard, Børge G; Nussbaum, Robert L; Offit, Kenneth; Olah, Edith; Olopade, Olufunmilayo I; Olson, Janet E; Osorio, Ana; Park, Sue K; Peeters, Petra H; Peissel, Bernard; Peterlongo, Paolo; Peto, Julian; Phelan, Catherine M; Pilarski, Robert; Poppe, Bruce; Pylkäs, Katri; Radice, Paolo; Rahman, Nazneen; Rantala, Johanna; Rappaport, Christine; Rennert, Gad; Richardson, Andrea; Robson, Mark; Romieu, Isabelle; Rudolph, Anja; Rutgers, Emiel J; Sanchez, Maria-Jose; Santella, Regina M; Sawyer, Elinor J; Schmidt, Daniel F; Schmidt, Marjanka K; Schmutzler, Rita K; Schumacher, Fredrick; Scott, Rodney; Senter, Leigha; Sharma, Priyanka; Simard, Jacques; Singer, Christian F; Sinilnikova, Olga M; Soucy, Penny; Southey, Melissa; Steinemann, Doris; Stenmark-Askmalm, Marie; Stoppa-Lyonnet, Dominique; Swerdlow, Anthony; Szabo, Csilla I; Tamimi, Rulla; Tapper, William; Teixeira, Manuel R; Teo, Soo-Hwang; Terry, Mary B; Thomassen, Mads; Thompson, Deborah; Tihomirova, Laima; Toland, Amanda E; Tollenaar, Robert A E M; Tomlinson, Ian; Truong, Thérèse; Tsimiklis, Helen; Teulé, Alex; Tumino, Rosario; Tung, Nadine; Turnbull, Clare; Ursin, Giski; van Deurzen, Carolien H M; van Rensburg, Elizabeth J; Varon-Mateeva, Raymonda; Wang, Zhaoming; Wang-Gohrke, Shan; Weiderpass, Elisabete; Weitzel, Jeffrey N; Whittemore, Alice; Wildiers, Hans; Winqvist, Robert; Yang, Xiaohong R; Yannoukakos, Drakoulis; Yao, Song; Zamora, M Pilar; Zheng, Wei; Hall, Per; Kraft, Peter; Vachon, Celine; Slager, Susan; Chenevix-Trench, Georgia; Pharoah, Paul D P; Monteiro, Alvaro A N; García-Closas, Montserrat; Easton, Douglas F; Antoniou, Antonis C

2016-01-01

Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10(-8)) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci,

A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

Science.gov (United States)

Siddiq, Afshan; Couch, Fergus J.; Chen, Gary K.; Lindström, Sara; Eccles, Diana; Millikan, Robert C.; Michailidou, Kyriaki; Stram, Daniel O.; Beckmann, Lars; Rhie, Suhn Kyong; Ambrosone, Christine B.; Aittomäki, Kristiina; Amiano, Pilar; Apicella, Carmel; Baglietto, Laura; Bandera, Elisa V.; Beckmann, Matthias W.; Berg, Christine D.; Bernstein, Leslie; Blomqvist, Carl; Brauch, Hiltrud; Brinton, Louise; Bui, Quang M.; Buring, Julie E.; Buys, Saundra S.; Campa, Daniele; Carpenter, Jane E.; Chasman, Daniel I.; Chang-Claude, Jenny; Chen, Constance; Clavel-Chapelon, Françoise; Cox, Angela; Cross, Simon S.; Czene, Kamila; Deming, Sandra L.; Diasio, Robert B.; Diver, W. Ryan; Dunning, Alison M.; Durcan, Lorraine; Ekici, Arif B.; Fasching, Peter A.; Feigelson, Heather Spencer; Fejerman, Laura; Figueroa, Jonine D.; Fletcher, Olivia; Flesch-Janys, Dieter; Gaudet, Mia M.; Gerty, Susan M.; Rodriguez-Gil, Jorge L.; Giles, Graham G.; van Gils, Carla H.; Godwin, Andrew K.; Graham, Nikki; Greco, Dario; Hall, Per; Hankinson, Susan E.; Hartmann, Arndt; Hein, Rebecca; Heinz, Judith; Hoover, Robert N.; Hopper, John L.; Hu, Jennifer J.; Huntsman, Scott; Ingles, Sue A.; Irwanto, Astrid; Isaacs, Claudine; Jacobs, Kevin B.; John, Esther M.; Justenhoven, Christina; Kaaks, Rudolf; Kolonel, Laurence N.; Coetzee, Gerhard A.; Lathrop, Mark; Le Marchand, Loic; Lee, Adam M.; Lee, I-Min; Lesnick, Timothy; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Martin, Nicholas G.; McLean, Catriona A.; Meijers-Heijboer, Hanne; Meindl, Alfons; Miron, Penelope; Monroe, Kristine R.; Montgomery, Grant W.; Müller-Myhsok, Bertram; Nickels, Stefan; Nyante, Sarah J.; Olswold, Curtis; Overvad, Kim; Palli, Domenico; Park, Daniel J.; Palmer, Julie R.; Pathak, Harsh; Peto, Julian; Pharoah, Paul; Rahman, Nazneen; Rivadeneira, Fernando; Schmidt, Daniel F.; Schmutzler, Rita K.; Slager, Susan; Southey, Melissa C.; Stevens, Kristen N.; Sinn, Hans-Peter; Press, Michael F.; Ross, Eric; Riboli, Elio; Ridker, Paul M.; Schumacher, Fredrick R.; Severi, Gianluca; dos Santos Silva, Isabel; Stone, Jennifer; Sund, Malin; Tapper, William J.; Thun, Michael J.; Travis, Ruth C.; Turnbull, Clare; Uitterlinden, Andre G.; Waisfisz, Quinten; Wang, Xianshu; Wang, Zhaoming; Weaver, JoEllen; Schulz-Wendtland, Rüdiger; Wilkens, Lynne R.; Van Den Berg, David; Zheng, Wei; Ziegler, Regina G.; Ziv, Elad; Nevanlinna, Heli; Easton, Douglas F.; Hunter, David J.; Henderson, Brian E.; Chanock, Stephen J.; Garcia-Closas, Montserrat; Kraft, Peter; Haiman, Christopher A.; Vachon, Celine M.

2012-01-01

Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of ER-negative disease to date, comprising 4754 ER-negative cases and 31 663 controls from three GWAS: NCI Breast and Prostate Cancer Cohort Consortium (BPC3) (2188 ER-negative cases; 25 519 controls of European ancestry), Triple Negative Breast Cancer Consortium (TNBCC) (1562 triple negative cases; 3399 controls of European ancestry) and African American Breast Cancer Consortium (AABC) (1004 ER-negative cases; 2745 controls). We performed in silico replication of 86 SNPs at P ≤ 1 × 10-5 in an additional 11 209 breast cancer cases (946 with ER-negative disease) and 16 057 controls of Japanese, Latino and European ancestry. We identified two novel loci for breast cancer at 20q11 and 6q14. SNP rs2284378 at 20q11 was associated with ER-negative breast cancer (combined two-stage OR = 1.16; P = 1.1 × 10−8) but showed a weaker association with overall breast cancer (OR = 1.08, P = 1.3 × 10–6) based on 17 869 cases and 43 745 controls and no association with ER-positive disease (OR = 1.01, P = 0.67) based on 9965 cases and 22 902 controls. Similarly, rs17530068 at 6q14 was associated with breast cancer (OR = 1.12; P = 1.1 × 10−9), and with both ER-positive (OR = 1.09; P = 1.5 × 10−5) and ER-negative (OR = 1.16, P = 2.5 × 10−7) disease. We also confirmed three known loci associated with ER-negative (19p13) and both ER-negative and ER-positive breast cancer (6q25 and 12p11). Our results highlight the value of large-scale collaborative studies to identify novel breast cancer risk loci. PMID:22976474

A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

NARCIS (Netherlands)

Siddiq, Afshan; Couch, Fergus J.; Chen, Gary K.; Lindström, Sara; Eccles, Diana; Millikan, Robert C.; Michailidou, Kyriaki; Stram, Daniel O.; Beckmann, Lars; Rhie, Suhn Kyong; Ambrosone, Christine B.; Aittomäki, Kristiina; Amiano, Pilar; Apicella, Carmel; Baglietto, Laura; Bandera, Elisa V.; Beckmann, Matthias W.; Berg, Christine D.; Bernstein, Leslie; Blomqvist, Carl; Brauch, Hiltrud; Brinton, Louise; Bui, Quang M.; Buring, Julie E.; Buys, Saundra S.; Campa, Daniele; Carpenter, Jane E.; Chasman, Daniel I.; Chang-Claude, Jenny; Chen, Constance; Clavel-Chapelon, Françoise; Cox, Angela; Cross, Simon S.; Czene, Kamila; Deming, Sandra L.; Diasio, Robert B.; Diver, W. Ryan; Dunning, Alison M.; Durcan, Lorraine; Ekici, Arif B.; Fasching, Peter A.; Feigelson, Heather Spencer; Fejerman, Laura; Figueroa, Jonine D.; Fletcher, Olivia; Flesch-Janys, Dieter; Gaudet, Mia M.; Gerty, Susan M.; Rodriguez-Gil, Jorge L.; Giles, Graham G.; van Gils, Carla H.; Godwin, Andrew K.; Graham, Nikki; Greco, Dario; Hall, Per; Hankinson, Susan E.; Hartmann, Arndt; Hein, Rebecca; Heinz, Judith; Hoover, Robert N.; Hopper, John L.; Hu, Jennifer J.; Huntsman, Scott; Ingles, Sue A.; Irwanto, Astrid; Isaacs, Claudine; Jacobs, Kevin B.; John, Esther M.; Justenhoven, Christina; Kaaks, Rudolf; Kolonel, Laurence N.; Coetzee, Gerhard A.; Lathrop, Mark; Le Marchand, Loic; Lee, Adam M.; Lee, I.-Min; Lesnick, Timothy; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Martin, Nicholas G.; McLean, Catriona A.; Meijers-Heijboer, Hanne; Meindl, Alfons; Miron, Penelope; Monroe, Kristine R.; Montgomery, Grant W.; Müller-Myhsok, Bertram; Nickels, Stefan; Nyante, Sarah J.; Olswold, Curtis; Overvad, Kim; Palli, Domenico; Park, Daniel J.; Palmer, Julie R.; Pathak, Harsh; Peto, Julian; Pharoah, Paul; Rahman, Nazneen; Rivadeneira, Fernando; Schmidt, Daniel F.; Schmutzler, Rita K.; Slager, Susan; Southey, Melissa C.; Stevens, Kristen N.; Sinn, Hans-Peter; Press, Michael F.; Ross, Eric; Riboli, Elio; Ridker, Paul M.; Schumacher, Fredrick R.; Severi, Gianluca; dos Santos Silva, Isabel; Stone, Jennifer; Sund, Malin; Tapper, William J.; Thun, Michael J.; Travis, Ruth C.; Turnbull, Clare; Uitterlinden, Andre G.; Waisfisz, Quinten; Wang, Xianshu; Wang, Zhaoming; Weaver, Joellen; Schulz-Wendtland, Rüdiger; Wilkens, Lynne R.; van den Berg, David; Zheng, Wei; Ziegler, Regina G.; Ziv, Elad; Nevanlinna, Heli; Easton, Douglas F.; Hunter, David J.; Henderson, Brian E.; Chanock, Stephen J.; Garcia-Closas, Montserrat; Kraft, Peter; Haiman, Christopher A.; Vachon, Celine M.

2012-01-01

Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of

Meta-analysis of genome-wide association studies in celiac disease and rheumatoid arthritis identifies fourteen non-HLA shared loci.

Directory of Open Access Journals (Sweden)

Alexandra Zhernakova

2011-02-01

Full Text Available Epidemiology and candidate gene studies indicate a shared genetic basis for celiac disease (CD and rheumatoid arthritis (RA, but the extent of this sharing has not been systematically explored. Previous studies demonstrate that 6 of the established non-HLA CD and RA risk loci (out of 26 loci for each disease are shared between both diseases. We hypothesized that there are additional shared risk alleles and that combining genome-wide association study (GWAS data from each disease would increase power to identify these shared risk alleles. We performed a meta-analysis of two published GWAS on CD (4,533 cases and 10,750 controls and RA (5,539 cases and 17,231 controls. After genotyping the top associated SNPs in 2,169 CD cases and 2,255 controls, and 2,845 RA cases and 4,944 controls, 8 additional SNPs demonstrated P<5 × 10(-8 in a combined analysis of all 50,266 samples, including four SNPs that have not been previously confirmed in either disease: rs10892279 near the DDX6 gene (P(combined =  1.2 × 10(-12, rs864537 near CD247 (P(combined =  2.2 × 10(-11, rs2298428 near UBE2L3 (P(combined =  2.5 × 10(-10, and rs11203203 near UBASH3A (P(combined =  1.1 × 10(-8. We also confirmed that 4 gene loci previously established in either CD or RA are associated with the other autoimmune disease at combined P<5 × 10(-8 (SH2B3, 8q24, STAT4, and TRAF1-C5. From the 14 shared gene loci, 7 SNPs showed a genome-wide significant effect on expression of one or more transcripts in the linkage disequilibrium (LD block around the SNP. These associations implicate antigen presentation and T-cell activation as a shared mechanism of disease pathogenesis and underscore the utility of cross-disease meta-analysis for identification of genetic risk factors with pleiotropic effects between two clinically distinct diseases.

A genome-wide association study identifies candidate loci associated to syringomyelia secondary to Chiari-like malformation in Cavalier King Charles Spaniels.

Science.gov (United States)

Ancot, Frédéric; Lemay, Philippe; Knowler, Susan P; Kennedy, Karen; Griffiths, Sandra; Cherubini, Giunio Bruto; Sykes, Jane; Mandigers, Paul J J; Rouleau, Guy A; Rusbridge, Clare; Kibar, Zoha

2018-03-22

Syringomyelia (SM) is a common condition affecting brachycephalic toy breed dogs and is characterized by the development of fluid-filled cavities within the spinal cord. It is often concurrent with a complex developmental malformation of the skull and craniocervical vertebrae called Chiari-like malformation (CM) characterized by a conformational change and overcrowding of the brain and cervical spinal cord particularly at the craniocervical junction. CM and SM have a polygenic mode of inheritance with variable penetrance. We identified six cranial T1-weighted sagittal MRI measurements that were associated to maximum transverse diameter of the syrinx cavity. Increased syrinx transverse diameter has been correlated previously with increased likelihood of behavioral signs of pain. We next conducted a whole genome association study of these traits in 65 Cavalier King Charles Spaniel (CKCS) dogs (33 controls, 32 with extreme phenotypes). Two loci on CFA22 and CFA26 were found to be significantly associated to two traits associated with a reduced volume and altered orientation of the caudal cranial fossa. Their reconstructed haplotypes defined two associated regions that harbor only two genes: PCDH17 on CFA22 and ZWINT on CFA26. PCDH17 codes for a cell adhesion molecule expressed specifically in the brain and spinal cord. ZWINT plays a role in chromosome segregation and its expression is increased with the onset of neuropathic pain. Targeted genomic sequencing of these regions identified respectively 37 and 339 SNPs with significantly associated P values. Genotyping of tagSNPs selected from these 2 candidate loci in an extended cohort of 461 CKCS (187 unaffected, 274 SM affected) identified 2 SNPs on CFA22 that were significantly associated to SM strengthening the candidacy of this locus in SM development. We identified 2 loci on CFA22 and CFA26 that contained only 2 genes, PCDH17 and ZWINT, significantly associated to two traits associated with syrinx transverse

Subject Matter Expert Workshop to Identify Cybersecurity ...

Science.gov (United States)

Report In recognition of the growing need to better address cyber risk and cyber management, the U.S. Environmental Protection Agency’s (EPA) National Homeland Security Research Center (NHSRC) held a Subject Matter Expert Workshop to Identify Cybersecurity Research Gaps and Needs of the Nation’s Water and Wastewater Systems Sector on March 30th and 31st, 2016, at the Ronald Reagan Building in Washington, D.C. The workshop was designed to create a forum for subject matter experts (SMEs) to exchange ideas and address important cybersecurity challenges facing the water sector.

Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease

Science.gov (United States)

Zhao, Wei; Rasheed, Asif; Tikkanen, Emmi; Lee, Jung-Jin; Butterworth, Adam S; Howson, Joanna MM; Assimes, Themistocles L; Chowdhury, Rajiv; Orho-Melander, Marju; Damrauer, Scott; Small, Aeron; Asma, Senay; Imamura, Minako; Yamauch, Toshimasa; Chambers, John C; Chen, Peng; Sapkota, Bishwa R; Shah, Nabi; Jabeen, Sehrish; Surendran, Praveen; Lu, Yingchang; Zhang, Weihua; Imran, Atif; Abbas, Shahid; Majeed, Faisal; Trindade, Kevin; Qamar, Nadeem; Mallick, Nadeem Hayyat; Yaqoob, Zia; Saghir, Tahir; Rizvi, Syed Nadeem Hasan; Memon, Anis; Rasheed, Syed Zahed; Memon, Fazal-ur-Rehman; Mehmood, Khalid; Ahmed, Naveeduddin; Qureshi, Irshad Hussain; Tanveer-us-Salam; Iqbal, Wasim; Malik, Uzma; Mehra, Narinder; Kuo, Jane Z; Sheu, Wayne H-H; Guo, Xiuqing; Hsiung, Chao A; Juang, Jyh-Ming J; Taylor, Kent D; Hung, Yi-Jen; Lee, Wen-Jane; Quertermous, Thomas; Lee, I-Te; Hsu, Chih-Cheng; Bottinger, Erwin P.; Ralhan, Sarju; Teo, Yik Ying; Wang, Tzung-Dau; Alam, Dewan S; Di Angelantonio, Emanuele; Epstein, Steve; Nielsen, Sune F; Nordestgaard, Børge G; Tybjaerg-Hansen, Anne; Young, Robin; Benn, Marianne; Frikke-Schmidt, Ruth; Kamstrup, Pia R; Biobank, Michigan; Jukema, J Wouter; Sattar, Naveed; Smit, Roelof; Chung, Ren-Hua; Liang, Kae-Woei; Anand, Sonia; Sanghera, Dharambir K; Ripatti, Samuli; Loos, Ruth J.F.; Kooner, Jaspal S; Tai, E Shyong; Rotter, Jerome I; Chen, Yii-Der Ida; Frossard, Philippe; Maeda, Shiro; Kadowaki, Takashi; Reilly, Muredach; Pare, Guillaume; Melander, Olle; Salomaa, Veikko; Rader, Daniel J; Danesh, John; Voight, Benjamin F; Saleheen, Danish

2018-01-01

To evaluate the shared genetic etiology of type-2 diabetes (T2D) and coronary heart disease (CHD), we conducted a multi-ethnic study of genetic variation genome-wide for both diseases in up to 265,678 subjects for T2D and 260,365 subjects for CHD. We identify 16 previously unreported loci for T2D and one for CHD, including a novel T2D association at a missense variant in HLA-DRB5 (OR=1.29). We show that genetically mediated increase in T2D risk also confers higher CHD risk. Joint analysis of T2D loci demonstrated that 24% are associated with CHD, highlighting eight variants - two of which are coding - where T2D and CHD associations appear to co-localize, and a novel joint T2D/CHD association which also replicated for T2D. Variants associated with both outcomes implicate several novel pathways including cellular proliferation and cardiovascular development. PMID:28869590

An evolutionary reduction principle for mutation rates at multiple Loci.

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Altenberg, Lee

2011-06-01

A model of mutation rate evolution for multiple loci under arbitrary selection is analyzed. Results are obtained using techniques from Karlin (Evolutionary Biology, vol. 14, pp. 61-204, 1982) that overcome the weak selection constraints needed for tractability in prior studies of multilocus event models.A multivariate form of the reduction principle is found: reduction results at individual loci combine topologically to produce a surface of mutation rate alterations that are neutral for a new modifier allele. New mutation rates survive if and only if they fall below this surface-a generalization of the hyperplane found by Zhivotovsky et al. (Proc. Natl. Acad. Sci. USA 91, 1079-1083, 1994) for a multilocus recombination modifier. Increases in mutation rates at some loci may evolve if compensated for by decreases at other loci. The strength of selection on the modifier scales in proportion to the number of germline cell divisions, and increases with the number of loci affected. Loci that do not make a difference to marginal fitnesses at equilibrium are not subject to the reduction principle, and under fine tuning of mutation rates would be expected to have higher mutation rates than loci in mutation-selection balance.Other results include the nonexistence of 'viability analogous, Hardy-Weinberg' modifier polymorphisms under multiplicative mutation, and the sufficiency of average transmission rates to encapsulate the effect of modifier polymorphisms on the transmission of loci under selection. A conjecture is offered regarding situations, like recombination in the presence of mutation, that exhibit departures from the reduction principle. Constraints for tractability are: tight linkage of all loci, initial fixation at the modifier locus, and mutation distributions comprising transition probabilities of reversible Markov chains.

Genome-Wide Association Study Identifies Four Loci Associated with Eruption of Permanent Teeth

Science.gov (United States)

Zhang, Hao; Shaffer, John R.; Hansen, Thomas; Esserlind, Ann-Louise; Boyd, Heather A.; Nohr, Ellen A.; Timpson, Nicholas J.; Fatemifar, Ghazaleh; Paternoster, Lavinia; Evans, David M.; Weyant, Robert J.; Levy, Steven M.; Lathrop, Mark; Smith, George Davey; Murray, Jeffrey C.; Olesen, Jes; Werge, Thomas; Marazita, Mary L.; Sørensen, Thorkild I. A.; Melbye, Mads

2011-01-01

The sequence and timing of permanent tooth eruption is thought to be highly heritable and can have important implications for the risk of malocclusion, crowding, and periodontal disease. We conducted a genome-wide association study of number of permanent teeth erupted between age 6 and 14 years, analyzed as age-adjusted standard deviation score averaged over multiple time points, based on childhood records for 5,104 women from the Danish National Birth Cohort. Four loci showed association at Peruption and were also known to influence height and breast cancer, respectively. The two other loci pointed to genomic regions without any previous significant genome-wide association study results. The intronic SNP rs7924176 in ADK could be linked to gene expression in monocytes. The combined effect of the four genetic variants was most pronounced between age 10 and 12 years, where children with 6 to 8 delayed tooth eruption alleles had on average 3.5 (95% confidence interval: 2.9–4.1) fewer permanent teeth than children with 0 or 1 of these alleles. PMID:21931568

Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits

DEFF Research Database (Denmark)

Teumer, Alexander; Qi, Qibin; Nethander, Maria

2016-01-01

The growth hormone/insulin-like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF-related proteins including IGF-I and IGF-binding protein-3 (IGFBP-3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer......-associated variant rs2153960 (FOXO3) was observed to be a genomewide significant SNP for IGF-I concentrations. Bioinformatics analysis suggested enrichment of putative regulatory elements among these IGF-I- and IGFBP-3-associated loci, particularly of rs646776 at CELSR2. In conclusion, this study identified several...

Multiple loci are associated with white blood cell phenotypes.

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Michael A Nalls

2011-06-01

Full Text Available White blood cell (WBC count is a common clinical measure from complete blood count assays, and it varies widely among healthy individuals. Total WBC count and its constituent subtypes have been shown to be moderately heritable, with the heritability estimates varying across cell types. We studied 19,509 subjects from seven cohorts in a discovery analysis, and 11,823 subjects from ten cohorts for replication analyses, to determine genetic factors influencing variability within the normal hematological range for total WBC count and five WBC subtype measures. Cohort specific data was supplied by the CHARGE, HeamGen, and INGI consortia, as well as independent collaborative studies. We identified and replicated ten associations with total WBC count and five WBC subtypes at seven different genomic loci (total WBC count-6p21 in the HLA region, 17q21 near ORMDL3, and CSF3; neutrophil count-17q21; basophil count- 3p21 near RPN1 and C3orf27; lymphocyte count-6p21, 19p13 at EPS15L1; monocyte count-2q31 at ITGA4, 3q21, 8q24 an intergenic region, 9q31 near EDG2, including three previously reported associations and seven novel associations. To investigate functional relationships among variants contributing to variability in the six WBC traits, we utilized gene expression- and pathways-based analyses. We implemented gene-clustering algorithms to evaluate functional connectivity among implicated loci and showed functional relationships across cell types. Gene expression data from whole blood was utilized to show that significant biological consequences can be extracted from our genome-wide analyses, with effect estimates for significant loci from the meta-analyses being highly corellated with the proximal gene expression. In addition, collaborative efforts between the groups contributing to this study and related studies conducted by the COGENT and RIKEN groups allowed for the examination of effect homogeneity for genome-wide significant associations across

Investigation of gene-environment interactions between 47 newly identified breast cancer susceptibility loci and environmental risk factors

DEFF Research Database (Denmark)

Rudolph, Anja; Milne, Roger L; Truong, Thérèse

2015-01-01

and overall BC risk was stronger for women who had had four or more pregnancies (OR = 0.85, p = 2.0 × 10(-4) ), and absent in women who had had just one (OR = 0.96, p = 0.19, pint = 6.1 × 10(-4) ). SNP rs11242675 was inversely associated with overall BC risk in never/former smokers (OR = 0.93, p = 2.8 × 10......(-5) ), but no association was observed in current smokers (OR = 1.07, p = 0.14, pint = 3.4 × 10(-4) ). In conclusion, recently identified BC susceptibility loci are not strongly modified by established risk factors and the observed potential interactions require confirmation in independent studies....

A Comprehensive Analysis of Common and Rare Variants to Identify Adiposity Loci in Hispanic Americans: The IRAS Family Study (IRASFS.

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Chuan Gao

Full Text Available Obesity is growing epidemic affecting 35% of adults in the United States. Previous genome-wide association studies (GWAS have identified numerous loci associated with obesity. However, the majority of studies have been completed in Caucasians focusing on total body measures of adiposity. Here we report the results from genome-wide and exome chip association studies focusing on total body measures of adiposity including body mass index (BMI, percent body fat (PBF and measures of fat deposition including waist circumference (WAIST, waist-hip ratio (WHR, subcutaneous adipose tissue (SAT, and visceral adipose tissue (VAT in Hispanic Americans (nmax = 1263 from the Insulin Resistance Atherosclerosis Family Study (IRASFS. Five SNPs from two novel loci attained genome-wide significance (P<5.00x10-8 in IRASFS. A missense SNP in the isocitrate dehydrogenase 1 gene (IDH1 was associated with WAIST (rs34218846, MAF = 6.8%, PDOM = 1.62x10-8. This protein is postulated to play an important role in fat and cholesterol biosynthesis as demonstrated in cell and knock-out animal models. Four correlated intronic SNPs in the Zinc finger, GRF-type containing 1 gene (ZGRF1; SNP rs1471880, MAF = 48.1%, PDOM = 1.00x10-8 were strongly associated with WHR. The exact biological function of ZGRF1 and the connection with adiposity remains unclear. SNPs with p-values less than 5.00x10-6 from IRASFS were selected for replication. Meta-analysis was computed across seven independent Hispanic-American cohorts (nmax = 4156 and the strongest signal was rs1471880 (PDOM = 8.38x10-6 in ZGRF1 with WAIST. In conclusion, a genome-wide and exome chip association study was conducted that identified two novel loci (IDH1 and ZGRF1 associated with adiposity. While replication efforts were inconclusive, when taken together with the known biology, IDH1 and ZGRF1 warrant further evaluation.

Genome-wide mapping of virulence in brown planthopper identifies loci that break down host plant resistance.

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Jing, Shengli; Zhang, Lei; Ma, Yinhua; Liu, Bingfang; Zhao, Yan; Yu, Hangjin; Zhou, Xi; Qin, Rui; Zhu, Lili; He, Guangcun

2014-01-01

Insects and plants have coexisted for over 350 million years and their interactions have affected ecosystems and agricultural practices worldwide. Variation in herbivorous insects' virulence to circumvent host resistance has been extensively documented. However, despite decades of investigation, the genetic foundations of virulence are currently unknown. The brown planthopper (Nilaparvata lugens) is the most destructive rice (Oryza sativa) pest in the world. The identification of the resistance gene Bph1 and its introduction in commercial rice varieties prompted the emergence of a new virulent brown planthopper biotype that was able to break the resistance conferred by Bph1. In this study, we aimed to construct a high density linkage map for the brown planthopper and identify the loci responsible for its virulence in order to determine their genetic architecture. Based on genotyping data for hundreds of molecular markers in three mapping populations, we constructed the most comprehensive linkage map available for this species, covering 96.6% of its genome. Fifteen chromosomes were anchored with 124 gene-specific markers. Using genome-wide scanning and interval mapping, the Qhp7 locus that governs preference for Bph1 plants was mapped to a 0.1 cM region of chromosome 7. In addition, two major QTLs that govern the rate of insect growth on resistant rice plants were identified on chromosomes 5 (Qgr5) and 14 (Qgr14). This is the first study to successfully locate virulence in the genome of this important agricultural insect by marker-based genetic mapping. Our results show that the virulence which overcomes the resistance conferred by Bph1 is controlled by a few major genes and that the components of virulence originate from independent genetic characters. The isolation of these loci will enable the elucidation of the molecular mechanisms underpinning the rice-brown planthopper interaction and facilitate the development of durable approaches for controlling this most

Genome-wide mapping of virulence in brown planthopper identifies loci that break down host plant resistance.

Directory of Open Access Journals (Sweden)

Shengli Jing

Full Text Available Insects and plants have coexisted for over 350 million years and their interactions have affected ecosystems and agricultural practices worldwide. Variation in herbivorous insects' virulence to circumvent host resistance has been extensively documented. However, despite decades of investigation, the genetic foundations of virulence are currently unknown. The brown planthopper (Nilaparvata lugens is the most destructive rice (Oryza sativa pest in the world. The identification of the resistance gene Bph1 and its introduction in commercial rice varieties prompted the emergence of a new virulent brown planthopper biotype that was able to break the resistance conferred by Bph1. In this study, we aimed to construct a high density linkage map for the brown planthopper and identify the loci responsible for its virulence in order to determine their genetic architecture. Based on genotyping data for hundreds of molecular markers in three mapping populations, we constructed the most comprehensive linkage map available for this species, covering 96.6% of its genome. Fifteen chromosomes were anchored with 124 gene-specific markers. Using genome-wide scanning and interval mapping, the Qhp7 locus that governs preference for Bph1 plants was mapped to a 0.1 cM region of chromosome 7. In addition, two major QTLs that govern the rate of insect growth on resistant rice plants were identified on chromosomes 5 (Qgr5 and 14 (Qgr14. This is the first study to successfully locate virulence in the genome of this important agricultural insect by marker-based genetic mapping. Our results show that the virulence which overcomes the resistance conferred by Bph1 is controlled by a few major genes and that the components of virulence originate from independent genetic characters. The isolation of these loci will enable the elucidation of the molecular mechanisms underpinning the rice-brown planthopper interaction and facilitate the development of durable approaches for

Eleven loci with new reproducible genetic associations with allergic disease risk

NARCIS (Netherlands)

Ferreira, Manuel A.R.; Vonk, Judith M; Baurecht, Hansjörg; Marenholz, Ingo; Tian, Chao; Hoffman, Joshua D; Helmer, Quinta; Tillander, Annika; Ullemar, Vilhelmina; Lu, Yi; Rüschendorf, Franz; Hinds, David A; Hübner, Norbert; Weidinger, Stephan; Magnusson, Patrik Ke; Jorgenson, Eric; Lee, Young-Ae; Boomsma, Dorret I; Karlsson, Robert; Almqvist, Catarina; Koppelman, Gerard H; Paternoster, Lavinia

2018-01-01

BACKGROUND: A recent genome-wide association study (GWAS) identified 99 loci that contain genetic risk variants shared between asthma, hay fever and eczema. Many more risk loci shared between these common allergic diseases remain to be discovered, which could point to new therapeutic opportunities.

Seventy-five genetic loci influencing the human red blood cell.

Science.gov (United States)

van der Harst, Pim; Zhang, Weihua; Mateo Leach, Irene; Rendon, Augusto; Verweij, Niek; Sehmi, Joban; Paul, Dirk S; Elling, Ulrich; Allayee, Hooman; Li, Xinzhong; Radhakrishnan, Aparna; Tan, Sian-Tsung; Voss, Katrin; Weichenberger, Christian X; Albers, Cornelis A; Al-Hussani, Abtehale; Asselbergs, Folkert W; Ciullo, Marina; Danjou, Fabrice; Dina, Christian; Esko, Tõnu; Evans, David M; Franke, Lude; Gögele, Martin; Hartiala, Jaana; Hersch, Micha; Holm, Hilma; Hottenga, Jouke-Jan; Kanoni, Stavroula; Kleber, Marcus E; Lagou, Vasiliki; Langenberg, Claudia; Lopez, Lorna M; Lyytikäinen, Leo-Pekka; Melander, Olle; Murgia, Federico; Nolte, Ilja M; O'Reilly, Paul F; Padmanabhan, Sandosh; Parsa, Afshin; Pirastu, Nicola; Porcu, Eleonora; Portas, Laura; Prokopenko, Inga; Ried, Janina S; Shin, So-Youn; Tang, Clara S; Teumer, Alexander; Traglia, Michela; Ulivi, Sheila; Westra, Harm-Jan; Yang, Jian; Zhao, Jing Hua; Anni, Franco; Abdellaoui, Abdel; Attwood, Antony; Balkau, Beverley; Bandinelli, Stefania; Bastardot, François; Benyamin, Beben; Boehm, Bernhard O; Cookson, William O; Das, Debashish; de Bakker, Paul I W; de Boer, Rudolf A; de Geus, Eco J C; de Moor, Marleen H; Dimitriou, Maria; Domingues, Francisco S; Döring, Angela; Engström, Gunnar; Eyjolfsson, Gudmundur Ingi; Ferrucci, Luigi; Fischer, Krista; Galanello, Renzo; Garner, Stephen F; Genser, Bernd; Gibson, Quince D; Girotto, Giorgia; Gudbjartsson, Daniel Fannar; Harris, Sarah E; Hartikainen, Anna-Liisa; Hastie, Claire E; Hedblad, Bo; Illig, Thomas; Jolley, Jennifer; Kähönen, Mika; Kema, Ido P; Kemp, John P; Liang, Liming; Lloyd-Jones, Heather; Loos, Ruth J F; Meacham, Stuart; Medland, Sarah E; Meisinger, Christa; Memari, Yasin; Mihailov, Evelin; Miller, Kathy; Moffatt, Miriam F; Nauck, Matthias; Novatchkova, Maria; Nutile, Teresa; Olafsson, Isleifur; Onundarson, Pall T; Parracciani, Debora; Penninx, Brenda W; Perseu, Lucia; Piga, Antonio; Pistis, Giorgio; Pouta, Anneli; Puc, Ursula; Raitakari, Olli; Ring, Susan M; Robino, Antonietta; Ruggiero, Daniela; Ruokonen, Aimo; Saint-Pierre, Aude; Sala, Cinzia; Salumets, Andres; Sambrook, Jennifer; Schepers, Hein; Schmidt, Carsten Oliver; Silljé, Herman H W; Sladek, Rob; Smit, Johannes H; Starr, John M; Stephens, Jonathan; Sulem, Patrick; Tanaka, Toshiko; Thorsteinsdottir, Unnur; Tragante, Vinicius; van Gilst, Wiek H; van Pelt, L Joost; van Veldhuisen, Dirk J; Völker, Uwe; Whitfield, John B; Willemsen, Gonneke; Winkelmann, Bernhard R; Wirnsberger, Gerald; Algra, Ale; Cucca, Francesco; d'Adamo, Adamo Pio; Danesh, John; Deary, Ian J; Dominiczak, Anna F; Elliott, Paul; Fortina, Paolo; Froguel, Philippe; Gasparini, Paolo; Greinacher, Andreas; Hazen, Stanley L; Jarvelin, Marjo-Riitta; Khaw, Kay Tee; Lehtimäki, Terho; Maerz, Winfried; Martin, Nicholas G; Metspalu, Andres; Mitchell, Braxton D; Montgomery, Grant W; Moore, Carmel; Navis, Gerjan; Pirastu, Mario; Pramstaller, Peter P; Ramirez-Solis, Ramiro; Schadt, Eric; Scott, James; Shuldiner, Alan R; Smith, George Davey; Smith, J Gustav; Snieder, Harold; Sorice, Rossella; Spector, Tim D; Stefansson, Kari; Stumvoll, Michael; Tang, W H Wilson; Toniolo, Daniela; Tönjes, Anke; Visscher, Peter M; Vollenweider, Peter; Wareham, Nicholas J; Wolffenbuttel, Bruce H R; Boomsma, Dorret I; Beckmann, Jacques S; Dedoussis, George V; Deloukas, Panos; Ferreira, Manuel A; Sanna, Serena; Uda, Manuela; Hicks, Andrew A; Penninger, Josef Martin; Gieger, Christian; Kooner, Jaspal S; Ouwehand, Willem H; Soranzo, Nicole; Chambers, John C

2012-12-20

Anaemia is a chief determinant of global ill health, contributing to cognitive impairment, growth retardation and impaired physical capacity. To understand further the genetic factors influencing red blood cells, we carried out a genome-wide association study of haemoglobin concentration and related parameters in up to 135,367 individuals. Here we identify 75 independent genetic loci associated with one or more red blood cell phenotypes at P < 10(-8), which together explain 4-9% of the phenotypic variance per trait. Using expression quantitative trait loci and bioinformatic strategies, we identify 121 candidate genes enriched in functions relevant to red blood cell biology. The candidate genes are expressed preferentially in red blood cell precursors, and 43 have haematopoietic phenotypes in Mus musculus or Drosophila melanogaster. Through open-chromatin and coding-variant analyses we identify potential causal genetic variants at 41 loci. Our findings provide extensive new insights into genetic mechanisms and biological pathways controlling red blood cell formation and function.

Meta-Analysis of Genome-Wide Association Studies in Celiac Disease and Rheumatoid Arthritis Identifies Fourteen Non-HLA Shared Loci

NARCIS (Netherlands)

Zhernakova, Alexandra; Stahl, Eli A.; Trynka, Gosia; Raychaudhuri, Soumya; Festen, Eleanora A.; Franke, Lude; Westra, Harm-Jan; Fehrmann, Rudolf S. N.; Kurreeman, Fina A. S.; Thomson, Brian; Gupta, Namrata; Romanos, Jihane; McManus, Ross; Ryan, Anthony W.; Turner, Graham; Brouwer, Elisabeth; Posthumus, Marcel D.; Remmers, Elaine F.; Tucci, Francesca; Toes, Rene; Grandone, Elvira; Mazzilli, Maria Cristina; Rybak, Anna; Cukrowska, Bozena; Coenen, Marieke J. H.; Radstake, Timothy R. D. J.; van Riel, Piet L. C. M.; Li, Yonghong; de Bakker, Paul I. W.; Gregersen, Peter K.; Worthington, Jane; Siminovitch, Katherine A.; Klareskog, Lars; Huizinga, Tom W. J.; Wijmenga, Cisca; Plenge, Robert M.

2011-01-01

Epidemiology and candidate gene studies indicate a shared genetic basis for celiac disease (CD) and rheumatoid arthritis (RA), but the extent of this sharing has not been systematically explored. Previous studies demonstrate that 6 of the established non-HLA CD and RA risk loci (out of 26 loci for

Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

NARCIS (Netherlands)

J.F. Felix (Janine); J.P. Bradfield (Jonathan); C. Monnereau; R.J.P. van der Valk (Ralf); E. Stergiakouli (Evie); A. Chesi (Alessandra); R. Gaillard (Romy); B. Feenstra (Bjarke); E. Thiering (Elisabeth); E. Kreiner-Møller (Eskil); A. Mahajan (Anubha); Niina Pitkänen; R. Joro (Raimo); A. Cavadino (Alana); V. Huikari (Ville); S. Franks (Steve); M. Groen-Blokhuis (Maria); D.L. Cousminer (Diana); J.A. Marsh (Julie); T. Lehtimäki (Terho); J.A. Curtin (John); J. Vioque (Jesus); T.S. Ahluwalia (Tarunveer Singh); R. Myhre (Ronny); T.S. Price (Thomas); Natalia Vilor-Tejedor; L. Yengo (Loic); N. Grarup (Niels); I. Ntalla (Ioanna); W.Q. Ang (Wei); M. Atalay (Mustafa); H. Bisgaard (Hans); A.I.F. Blakemore (Alexandra); A. Bonnefond (Amélie); L. Carstensen (Lisbeth); J.G. Eriksson (Johan G.); C. Flexeder (Claudia); L. Franke (Lude); F. Geller (Frank); M. Geserick (Mandy); A.L. Hartikainen; C.M.A. Haworth (Claire M.); J.N. Hirschhorn (Joel N.); A. Hofman (Albert); J.-C. Holm (Jens-Christian); M. Horikoshi (Momoko); J.J. Hottenga (Jouke Jan); J. Huang (Jian); H.N. Kadarmideen (Haja N.); M. Kähönen (Mika); W. Kiess (Wieland); T.A. Lakka (Timo); T.A. Lakka (Timo); A. Lewin (Alex); L. Liang (Liming); L.-P. Lyytikäinen (Leo-Pekka); B. Ma (Baoshan); P. Magnus (Per); S.E. McCormack (Shana E.); G. Mcmahon (George); F.D. Mentch (Frank); C.M. Middeldorp (Christel); C.S. Murray (Clare S.); K. Pahkala (Katja); T.H. Pers (Tune); R. Pfäffle (Roland); D.S. Postma (Dirkje); C. Power (Christine); A. Simpson (Angela); V. Sengpiel (Verena); C. Tiesler (Carla); M. Torrent (Maties); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); R. Vinding (Rebecca); J. Waage (Johannes); J. Wardle (Jane); E. Zeggini (Eleftheria); B.S. Zemel (Babette S.); G.V. Dedoussis (George); O. Pedersen (Oluf); P. Froguel (Philippe); J. Sunyer (Jordi); R. Plomin (Robert); B. Jacobsson (Bo); T. Hansen (Torben); J.R. Gonzalez (Juan R.); A. Custovic; O.T. Raitakari (Olli T.); C.E. Pennell (Craig); Elisabeth Widén; D.I. Boomsma (Dorret); G.H. Koppelman (Gerard); S. Sebert (Sylvain); M.-R. Jarvelin (Marjo-Riitta); E. Hypponen (Elina); M.I. McCarthy (Mark); V. Lindi (Virpi); N. Harri (Niinikoski); A. Körner (Antje); K. Bønnelykke (Klaus); J. Heinrich (Joachim); M. Melbye (Mads); F. Rivadeneira Ramirez (Fernando); H. Hakonarson (Hakon); S.M. Ring (Susan); G.D. Smith; T.I.A. Sørensen (Thorkild I.A.); N.J. Timpson (Nicholas); S.F.A. Grant (Struan); V.W.V. Jaddoe (Vincent); H.J. Kalkwarf (Heidi J.); J.M. Lappe (Joan M.); V. Gilsanz (Vicente); S.E. Oberfield (Sharon E.); J.A. Shepherd (John A.); A. Kelly (Andrea)

2016-01-01

textabstractA large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown.We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation

Overlap of disease susceptibility loci for rheumatoid arthritis and juvenile idiopathic arthritis

Science.gov (United States)

Hinks, Anne; Eyre, Steve; Ke, Xiayi; Barton, Anne; Martin, Paul; Flynn, Edward; Packham, Jon; Worthington, Jane; Thomson, Wendy

2010-01-01

Background Genome-wide association studies (GWAS) have been extremely successful in the search for susceptibility risk factors for complex genetic autoimmune diseases. As more studies are published, evidence is emerging of considerable overlap of loci between these diseases. In juvenile idiopathic arthritis (JIA), another complex genetic autoimmune disease, the strategy of using information from autoimmune disease GWAS or candidate gene studies to help in the search for novel JIA susceptibility loci has been successful, with confirmed association with two genes, PTPN22 and IL2RA. Rheumatoid arthritis (RA) is an autoimmune disease that shares similar clinical and pathological features with JIA and, therefore, recently identified confirmed RA susceptibility loci are also excellent JIA candidate loci. Objective To determine the overlap of disease susceptibility loci for RA and JIA. Methods Fifteen single nucleotide polymorphisms (SNPs) at nine RA-associated loci were genotyped in Caucasian patients with JIA (n=1054) and controls (n=3531) and tested for association with JIA. Allele and genotype frequencies were compared between cases and controls using the genetic analysis software, PLINK. Results Two JIA susceptibility loci were identified, one of which was a novel JIA association (STAT4) and the second confirmed previously published associations of the TRAF1/C5 locus with JIA. Weak evidence of association of JIA with three additional loci (Chr6q23, KIF5A and PRKCQ) was also obtained, which warrants further investigation. Conclusion All these loci are good candidates in view of the known pathogenesis of JIA, as genes within these regions (TRAF1, STAT4, TNFAIP3, PRKCQ) are known to be involved in T-cell receptor signalling or activation pathways. PMID:19674979

A genome-wide association study of atopic dermatitis identifies loci with overlapping effects on asthma and psoriasis.

Science.gov (United States)

Weidinger, Stephan; Willis-Owen, Saffron A G; Kamatani, Yoichiro; Baurecht, Hansjörg; Morar, Nilesh; Liang, Liming; Edser, Pauline; Street, Teresa; Rodriguez, Elke; O'Regan, Grainne M; Beattie, Paula; Fölster-Holst, Regina; Franke, Andre; Novak, Natalija; Fahy, Caoimhe M; Winge, Mårten C G; Kabesch, Michael; Illig, Thomas; Heath, Simon; Söderhäll, Cilla; Melén, Erik; Pershagen, Göran; Kere, Juha; Bradley, Maria; Lieden, Agne; Nordenskjold, Magnus; Harper, John I; McLean, W H Irwin; Brown, Sara J; Cookson, William O C; Lathrop, G Mark; Irvine, Alan D; Moffatt, Miriam F

2013-12-01

Atopic dermatitis (AD) is the most common dermatological disease of childhood. Many children with AD have asthma and AD shares regions of genetic linkage with psoriasis, another chronic inflammatory skin disease. We present here a genome-wide association study (GWAS) of childhood-onset AD in 1563 European cases with known asthma status and 4054 European controls. Using Illumina genotyping followed by imputation, we generated 268 034 consensus genotypes and in excess of 2 million single nucleotide polymorphisms (SNPs) for analysis. Association signals were assessed for replication in a second panel of 2286 European cases and 3160 European controls. Four loci achieved genome-wide significance for AD and replicated consistently across all cohorts. These included the epidermal differentiation complex (EDC) on chromosome 1, the genomic region proximal to LRRC32 on chromosome 11, the RAD50/IL13 locus on chromosome 5 and the major histocompatibility complex (MHC) on chromosome 6; reflecting action of classical HLA alleles. We observed variation in the contribution towards co-morbid asthma for these regions of association. We further explored the genetic relationship between AD, asthma and psoriasis by examining previously identified susceptibility SNPs for these diseases. We found considerable overlap between AD and psoriasis together with variable coincidence between allergic rhinitis (AR) and asthma. Our results indicate that the pathogenesis of AD incorporates immune and epidermal barrier defects with combinations of specific and overlapping effects at individual loci.

Identification of genetic loci shared between schizophrenia and the Big Five personality traits.

Science.gov (United States)

Smeland, Olav B; Wang, Yunpeng; Lo, Min-Tzu; Li, Wen; Frei, Oleksandr; Witoelar, Aree; Tesli, Martin; Hinds, David A; Tung, Joyce Y; Djurovic, Srdjan; Chen, Chi-Hua; Dale, Anders M; Andreassen, Ole A

2017-05-22

Schizophrenia is associated with differences in personality traits, and recent studies suggest that personality traits and schizophrenia share a genetic basis. Here we aimed to identify specific genetic loci shared between schizophrenia and the Big Five personality traits using a Bayesian statistical framework. Using summary statistics from genome-wide association studies (GWAS) on personality traits in the 23andMe cohort (n = 59,225) and schizophrenia in the Psychiatric Genomics Consortium cohort (n = 82,315), we evaluated overlap in common genetic variants. The Big Five personality traits neuroticism, extraversion, openness, agreeableness and conscientiousness were measured using a web implementation of the Big Five Inventory. Applying the conditional false discovery rate approach, we increased discovery of genetic loci and identified two loci shared between neuroticism and schizophrenia and six loci shared between openness and schizophrenia. The study provides new insights into the relationship between personality traits and schizophrenia by highlighting genetic loci involved in their common genetic etiology.

Fine-mapping and initial characterization of QT interval loci in African Americans.

Directory of Open Access Journals (Sweden)

Christy L Avery

Full Text Available The QT interval (QT is heritable and its prolongation is a risk factor for ventricular tachyarrhythmias and sudden death. Most genetic studies of QT have examined European ancestral populations; however, the increased genetic diversity in African Americans provides opportunities to narrow association signals and identify population-specific variants. We therefore evaluated 6,670 SNPs spanning eleven previously identified QT loci in 8,644 African American participants from two Population Architecture using Genomics and Epidemiology (PAGE studies: the Atherosclerosis Risk in Communities study and Women's Health Initiative Clinical Trial. Of the fifteen known independent QT variants at the eleven previously identified loci, six were significantly associated with QT in African American populations (P≤1.20×10(-4: ATP1B1, PLN1, KCNQ1, NDRG4, and two NOS1AP independent signals. We also identified three population-specific signals significantly associated with QT in African Americans (P≤1.37×10(-5: one at NOS1AP and two at ATP1B1. Linkage disequilibrium (LD patterns in African Americans assisted in narrowing the region likely to contain the functional variants for several loci. For example, African American LD patterns showed that 0 SNPs were in LD with NOS1AP signal rs12143842, compared with European LD patterns that indicated 87 SNPs, which spanned 114.2 Kb, were in LD with rs12143842. Finally, bioinformatic-based characterization of the nine African American signals pointed to functional candidates located exclusively within non-coding regions, including predicted binding sites for transcription factors such as TBX5, which has been implicated in cardiac structure and conductance. In this detailed evaluation of QT loci, we identified several African Americans SNPs that better define the association with QT and successfully narrowed intervals surrounding established loci. These results demonstrate that the same loci influence variation in QT

Genome-wide association study of clinically defined gout identifies multiple risk loci and its association with clinical subtypes.

Science.gov (United States)

Matsuo, Hirotaka; Yamamoto, Ken; Nakaoka, Hirofumi; Nakayama, Akiyoshi; Sakiyama, Masayuki; Chiba, Toshinori; Takahashi, Atsushi; Nakamura, Takahiro; Nakashima, Hiroshi; Takada, Yuzo; Danjoh, Inaho; Shimizu, Seiko; Abe, Junko; Kawamura, Yusuke; Terashige, Sho; Ogata, Hiraku; Tatsukawa, Seishiro; Yin, Guang; Okada, Rieko; Morita, Emi; Naito, Mariko; Tokumasu, Atsumi; Onoue, Hiroyuki; Iwaya, Keiichi; Ito, Toshimitsu; Takada, Tappei; Inoue, Katsuhisa; Kato, Yukio; Nakamura, Yukio; Sakurai, Yutaka; Suzuki, Hiroshi; Kanai, Yoshikatsu; Hosoya, Tatsuo; Hamajima, Nobuyuki; Inoue, Ituro; Kubo, Michiaki; Ichida, Kimiyoshi; Ooyama, Hiroshi; Shimizu, Toru; Shinomiya, Nariyoshi

2016-04-01

Gout, caused by hyperuricaemia, is a multifactorial disease. Although genome-wide association studies (GWASs) of gout have been reported, they included self-reported gout cases in which clinical information was insufficient. Therefore, the relationship between genetic variation and clinical subtypes of gout remains unclear. Here, we first performed a GWAS of clinically defined gout cases only. A GWAS was conducted with 945 patients with clinically defined gout and 1213 controls in a Japanese male population, followed by replication study of 1048 clinically defined cases and 1334 controls. Five gout susceptibility loci were identified at the genome-wide significance level (pgenes (ABCG2 and SLC2A9) and additional genes: rs1260326 (p=1.9×10(-12); OR=1.36) of GCKR (a gene for glucose and lipid metabolism), rs2188380 (p=1.6×10(-23); OR=1.75) of MYL2-CUX2 (genes associated with cholesterol and diabetes mellitus) and rs4073582 (p=6.4×10(-9); OR=1.66) of CNIH-2 (a gene for regulation of glutamate signalling). The latter two are identified as novel gout loci. Furthermore, among the identified single-nucleotide polymorphisms (SNPs), we demonstrated that the SNPs of ABCG2 and SLC2A9 were differentially associated with types of gout and clinical parameters underlying specific subtypes (renal underexcretion type and renal overload type). The effect of the risk allele of each SNP on clinical parameters showed significant linear relationships with the ratio of the case-control ORs for two distinct types of gout (r=0.96 [p=4.8×10(-4)] for urate clearance and r=0.96 [p=5.0×10(-4)] for urinary urate excretion). Our findings provide clues to better understand the pathogenesis of gout and will be useful for development of companion diagnostics. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

lociNGS: a lightweight alternative for assessing suitability of next-generation loci for evolutionary analysis.

Directory of Open Access Journals (Sweden)

Sarah M Hird

Full Text Available Genomic enrichment methods and next-generation sequencing produce uneven coverage for the portions of the genome (the loci they target; this information is essential for ascertaining the suitability of each locus for further analysis. lociNGS is a user-friendly accessory program that takes multi-FASTA formatted loci, next-generation sequence alignments and demographic data as input and collates, displays and outputs information about the data. Summary information includes the parameters coverage per locus, coverage per individual and number of polymorphic sites, among others. The program can output the raw sequences used to call loci from next-generation sequencing data. lociNGS also reformats subsets of loci in three commonly used formats for multi-locus phylogeographic and population genetics analyses - NEXUS, IMa2 and Migrate. lociNGS is available at https://github.com/SHird/lociNGS and is dependent on installation of MongoDB (freely available at http://www.mongodb.org/downloads. lociNGS is written in Python and is supported on MacOSX and Unix; it is distributed under a GNU General Public License.

Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer.

Science.gov (United States)

Klein, Alison P; Wolpin, Brian M; Risch, Harvey A; Stolzenberg-Solomon, Rachael Z; Mocci, Evelina; Zhang, Mingfeng; Canzian, Federico; Childs, Erica J; Hoskins, Jason W; Jermusyk, Ashley; Zhong, Jun; Chen, Fei; Albanes, Demetrius; Andreotti, Gabriella; Arslan, Alan A; Babic, Ana; Bamlet, William R; Beane-Freeman, Laura; Berndt, Sonja I; Blackford, Amanda; Borges, Michael; Borgida, Ayelet; Bracci, Paige M; Brais, Lauren; Brennan, Paul; Brenner, Hermann; Bueno-de-Mesquita, Bas; Buring, Julie; Campa, Daniele; Capurso, Gabriele; Cavestro, Giulia Martina; Chaffee, Kari G; Chung, Charles C; Cleary, Sean; Cotterchio, Michelle; Dijk, Frederike; Duell, Eric J; Foretova, Lenka; Fuchs, Charles; Funel, Niccola; Gallinger, Steven; M Gaziano, J Michael; Gazouli, Maria; Giles, Graham G; Giovannucci, Edward; Goggins, Michael; Goodman, Gary E; Goodman, Phyllis J; Hackert, Thilo; Haiman, Christopher; Hartge, Patricia; Hasan, Manal; Hegyi, Peter; Helzlsouer, Kathy J; Herman, Joseph; Holcatova, Ivana; Holly, Elizabeth A; Hoover, Robert; Hung, Rayjean J; Jacobs, Eric J; Jamroziak, Krzysztof; Janout, Vladimir; Kaaks, Rudolf; Khaw, Kay-Tee; Klein, Eric A; Kogevinas, Manolis; Kooperberg, Charles; Kulke, Matthew H; Kupcinskas, Juozas; Kurtz, Robert J; Laheru, Daniel; Landi, Stefano; Lawlor, Rita T; Lee, I-Min; LeMarchand, Loic; Lu, Lingeng; Malats, Núria; Mambrini, Andrea; Mannisto, Satu; Milne, Roger L; Mohelníková-Duchoňová, Beatrice; Neale, Rachel E; Neoptolemos, John P; Oberg, Ann L; Olson, Sara H; Orlow, Irene; Pasquali, Claudio; Patel, Alpa V; Peters, Ulrike; Pezzilli, Raffaele; Porta, Miquel; Real, Francisco X; Rothman, Nathaniel; Scelo, Ghislaine; Sesso, Howard D; Severi, Gianluca; Shu, Xiao-Ou; Silverman, Debra; Smith, Jill P; Soucek, Pavel; Sund, Malin; Talar-Wojnarowska, Renata; Tavano, Francesca; Thornquist, Mark D; Tobias, Geoffrey S; Van Den Eeden, Stephen K; Vashist, Yogesh; Visvanathan, Kala; Vodicka, Pavel; Wactawski-Wende, Jean; Wang, Zhaoming; Wentzensen, Nicolas; White, Emily; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Kraft, Peter; Li, Donghui; Chanock, Stephen; Obazee, Ofure; Petersen, Gloria M; Amundadottir, Laufey T

2018-02-08

In 2020, 146,063 deaths due to pancreatic cancer are estimated to occur in Europe and the United States combined. To identify common susceptibility alleles, we performed the largest pancreatic cancer GWAS to date, including 9040 patients and 12,496 controls of European ancestry from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4). Here, we find significant evidence of a novel association at rs78417682 (7p12/TNS3, P = 4.35 × 10 -8 ). Replication of 10 promising signals in up to 2737 patients and 4752 controls from the PANcreatic Disease ReseArch (PANDoRA) consortium yields new genome-wide significant loci: rs13303010 at 1p36.33 (NOC2L, P = 8.36 × 10 -14 ), rs2941471 at 8q21.11 (HNF4G, P = 6.60 × 10 -10 ), rs4795218 at 17q12 (HNF1B, P = 1.32 × 10 -8 ), and rs1517037 at 18q21.32 (GRP, P = 3.28 × 10 -8 ). rs78417682 is not statistically significantly associated with pancreatic cancer in PANDoRA. Expression quantitative trait locus analysis in three independent pancreatic data sets provides molecular support of NOC2L as a pancreatic cancer susceptibility gene.

Genome-wide meta-analyses identify multiple loci associated with smoking behavior.

LENUS (Irish Health Repository)

2010-05-01

Consistent but indirect evidence has implicated genetic factors in smoking behavior. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], beta = 1.03, standard error (s.e.) = 0.053, P = 2.8 x 10(-73)). Two 10q25 SNPs (rs1329650[G], beta = 0.367, s.e. = 0.059, P = 5.7 x 10(-10); and rs1028936[A], beta = 0.446, s.e. = 0.074, P = 1.3 x 10(-9)) and one 9q13 SNP in EGLN2 (rs3733829[G], beta = 0.333, s.e. = 0.058, P = 1.0 x 10(-8)) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95% confidence interval (Cl) 1.04-1.08, P = 1.8 x 10(-8)). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95% Cl 1.08-1.18, P = 3.6 x 10(-8)) was significantly associated with smoking cessation.

The loci controlling plasticity in flax

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Bickel CL

2012-02-01

Full Text Available Cory L Bickel, Marshall Lukacs, Christopher A CullisCase Western Reserve University, Cleveland OH, USAAbstract: Flax undergoes heritable genomic changes in response to nutrient stress, including changes in total DNA content, rDNA copy number variation, and the appearance of Linum Insertion Sequence 1 (LIS-1. The nature of the genomic changes suggests a very different mechanism, which is not yet understood, from that of other DNA changes in response to stress, such as the activation of transposable elements. To identify the genes that control genomic changes in response to stress in flax, reciprocal crosses were made between a responsive flax line, Stormont cirrus, and an unresponsive line, Bethune. The ability of the F2 generation (from selfed F1 plants to respond to nutrient stress was assayed using the insertion of LIS-1 as the criteria for responsiveness. Twenty-nine out of 89 F2s responded at 5 weeks, suggesting that 3-4 dominant loci were all necessary for early LIS-1 insertion. Seventy out of 76 responded at 10 weeks, indicating two dominant loci independently capable of initiating LIS-1 insertion under prolonged nutrient stress. F1 plants and their progeny with either P1 or Bethune as the maternal parent were capable of responding with LIS-1 insertion, indicating that LIS-1 insertion is under nuclear genetic control and does not involve maternal factors. Thus, a small number of loci within the genome of Stormont cirrus appear to control the ability to respond to nutrient stress with LIS-1 insertion. A genetic map of the flax genome is currently under construction, and will be used to identify these loci within the genome.Keywords: nutrient stress, genomic plasticity, flax, Linum usitatissimum, LIS-1 

The role of height-associated loci identified in genome wide association studies in the determination of pediatric stature

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Frackelton Edward C

2010-06-01

Full Text Available Abstract Background Human height is considered highly heritable and correlated with certain disorders, such as type 2 diabetes and cancer. Despite environmental influences, genetic factors are known to play an important role in stature determination. A number of genetic determinants of adult height have already been established through genome wide association studies. Methods To examine 51 single nucleotide polymorphisms (SNPs corresponding to the 46 previously reported genomic loci for height in 8,184 European American children with height measurements. We leveraged genotyping data from our ongoing GWA study of height variation in children in order to query the 51 SNPs in this pediatric cohort. Results Sixteen of these SNPs yielded at least nominally significant association to height, representing fifteen different loci including EFEMP1-PNPT1, GPR126, C6orf173, SPAG17, Histone class 1, HLA class III and GDF5-UQCC. Other loci revealed no evidence for association, including HMGA1 and HMGA2. For the 16 associated variants, the genotype score explained 1.64% of the total variation for height z-score. Conclusion Among 46 loci that have been reported to associate with adult height to date, at least 15 also contribute to the determination of height in childhood.

Obtaining subjects' consent to publish identifying personal information: current practices and identifying potential issues.

Science.gov (United States)

Yoshida, Akiko; Dowa, Yuri; Murakami, Hiromi; Kosugi, Shinji

2013-11-25

In studies publishing identifying personal information, obtaining consent is regarded as necessary, as it is impossible to ensure complete anonymity. However, current journal practices around specific points to consider when obtaining consent, the contents of consent forms and how consent forms are managed have not yet been fully examined. This study was conducted to identify potential issues surrounding consent to publish identifying personal information. Content analysis was carried out on instructions for authors and consent forms developed by academic journals in four fields (as classified by Journal Citation Reports): medicine general and internal, genetics and heredity, pediatrics, and psychiatry. An online questionnaire survey of editors working for journals that require the submission of consent forms was also conducted. Instructions for authors were reviewed for 491 academic journals (132 for medicine general and internal, 147 for genetics and heredity, 100 for pediatrics, and 112 for psychiatry). Approximately 40% (203: 74 for medicine general and internal, 31 for genetics and heredity, 58 for pediatrics, and 40 for psychiatry) stated that subject consent was necessary. The submission of consent forms was required by 30% (154) of the journals studied, and 10% (50) provided their own consent forms for authors to use. Two journals mentioned that the possible effects of publication on subjects should be considered. Many journal consent forms mentioned the difficulties in ensuring complete anonymity of subjects, but few addressed the study objective, the subjects' right to refuse consent and the withdrawal of consent. The main reason for requiring the submission of consent forms was to confirm that consent had been obtained. Approximately 40% of journals required subject consent to be obtained. However, differences were observed depending on the fields. Specific considerations were not always documented. There is a need to address issues around the study

SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function

DEFF Research Database (Denmark)

Li, Man; Li, Yong; Weeks, Olivia

2017-01-01

Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum...... creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium (nStage1: 111,666; nStage2: 48,343). In single-variant analyses, we identified single nucleotide polymorphisms at seven new loci associated with eGFRcrea (PPM1J, EDEM3, ACP1, SPEG, EYA4, CYP1A1, and ATXN2L; PStage1......associations of functional rare variants in three genes with eGFRcrea, including a novel association with the SOS Ras/Rho guanine nucleotide exchange factor 2 gene, SOS2 (P=5.4×10(-8) by sequence kernel...

Identification of heart rate–associated loci and their effects on cardiac conduction and rhythm disorders

OpenAIRE

den Hoed, Marcel; Eijgelsheim, Mark; Esko, Tõnu; Brundel, Bianca J J M; Peal, David S; Evans, David M; Nolte, Ilja M; Segrè, Ayellet V; Holm, Hilma; Handsaker, Robert E; Westra, Harm-Jan; Johnson, Toby; Isaacs, Aaron; Yang, Jian; Lundby, Alicia

2013-01-01

Elevated resting heart rate is associated with greater risk of cardiovascular disease and mortality. In a 2-stage meta-analysis of genome-wide association studies in up to 181,171 individuals, we identified 14 new loci associated with heart rate and confirmed associations with all 7 previously established loci. Experimental downregulation of gene expression in Drosophila melanogaster and Danio rerio identified 20 genes at 11 loci that are relevant for heart rate regulation and highlight a rol...

Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

DEFF Research Database (Denmark)

Beecham, Ashley H; Patsopoulos, Nikolaos A; Xifara, Dionysia K

2013-01-01

Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P...

Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2

DEFF Research Database (Denmark)

Ahmed, Shahana; Thomas, Gilles; Ghoussaini, Maya

2009-01-01

Genome-wide association studies (GWAS) have identified seven breast cancer susceptibility loci, but these explain only a small fraction of the familial risk of the disease. Five of these loci were identified through a two-stage GWAS involving 390 familial cases and 364 controls in the first stage......, and 3,990 cases and 3,916 controls in the second stage. To identify additional loci, we tested over 800 promising associations from this GWAS in a further two stages involving 37,012 cases and 40,069 controls from 33 studies in the CGEMS collaboration and Breast Cancer Association Consortium. We found...

Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

NARCIS (Netherlands)

F.J. Couch (Fergus); K.B. Kuchenbaecker (Karoline); K. Michailidou (Kyriaki); G.A. Mendoza-Fandino (Gustavo A.); S. Nord (Silje); J. Lilyquist (Janna); C. Olswold (Curtis); B. Hallberg (Boubou); S. Agata (Simona); H. Ahsan (Habibul); K. Aittomäki (Kristiina); C.B. Ambrosone (Christine); I.L. Andrulis (Irene); H. Anton-Culver (Hoda); V. Arndt (Volker); B.K. Arun (Banu); B. Arver (Brita Wasteson); M. Barile (Monica); R.B. Barkardottir (Rosa); D. Barrowdale (Daniel); L. Beckmann (Lars); M.W. Beckmann (Matthias); J. Benítez (Javier); S.V. Blank (Stephanie); C. Blomqvist (Carl); N.V. Bogdanova (Natalia); S.E. Bojesen (Stig); M.K. Bolla (Manjeet); B. Bonnani (Bernardo); H. Brauch (Hiltrud); H. Brenner (Hermann); B. Burwinkel (Barbara); S.S. Buys (Saundra S.); T. Caldes (Trinidad); M.A. Caligo (Maria); F. Canzian (Federico); T.A. Carpenter (Adrian); J. Chang-Claude (Jenny); S.J. Chanock (Stephen J.); W.K. Chung (Wendy K.); K.B.M. Claes (Kathleen B.M.); A. Cox (Angela); S.S. Cross (Simon); J.M. Cunningham (Julie); K. Czene (Kamila); M.B. Daly (Mary B.); F. Damiola (Francesca); H. Darabi (Hatef); M. de La Hoya (Miguel); P. Devilee (Peter); O. Díez (Orland); Y.C. Ding (Yuan); R. Dolcetti (Riccardo); S.M. Domchek (Susan); C.M. Dorfling (Cecilia); I. dos Santos Silva (Isabel); M. Dumont (Martine); A.M. Dunning (Alison); D. Eccles (Diana); H. Ehrencrona (Hans); A.B. Ekici (Arif); H. Eliassen (Heather); S.D. Ellis (Steve); P.A. Fasching (Peter); J.D. Figueroa (Jonine); D. Flesch-Janys (Dieter); A. Försti (Asta); F. Fostira (Florentia); W.D. Foulkes (William); M.O.W. Friebel (Mark ); E. Friedman (Eitan); D. Frost (Debra); M. Gabrielson (Marike); M. Gammon (Marilie); P.A. Ganz (Patricia A.); S.M. Gapstur (Susan M.); J. Garber (Judy); M.M. Gaudet (Mia); S.A. Gayther (Simon); A-M. Gerdes (Anne-Marie); M. Ghoussaini (Maya); G.G. Giles (Graham); G. Glendon (Gord); A.K. Godwin (Andrew K.); M.S. Goldberg (Mark); D. Goldgar (David); A. González-Neira (Anna); M.H. Greene (Mark H.); J. Gronwald (Jacek); P. Guénel (Pascal); M.J. Gunter (Marc J.); L. Haeberle (Lothar); C.A. Haiman (Christopher A.); U. Hamann (Ute); T.V.O. Hansen (Thomas); S. Hart (Stewart); S. Healey (Sue); T. Heikkinen (Tuomas); B.E. Henderson (Brian); J. Herzog (Josef); F.B.L. Hogervorst (Frans); A. Hollestelle (Antoinette); M.J. Hooning (Maartje); R.N. Hoover (Robert); J.L. Hopper (John); K. Humphreys (Keith); D. Hunter (David); T. Huzarski (Tomasz); E.N. Imyanitov (Evgeny N.); C. Isaacs (Claudine); A. Jakubowska (Anna); M. James (Margaret); R. Janavicius (Ramunas); U.B. Jensen; E.M. John (Esther); M. Jones (Michael); M. Kabisch (Maria); S. Kar (Siddhartha); B.Y. Karlan (Beth Y.); S. Khan (Sofia); K.T. Khaw; M.G. Kibriya (Muhammad); J.A. Knight (Julia); Y.-D. Ko (Yon-Dschun); I. Konstantopoulou (I.); V-M. Kosma (Veli-Matti); V. Kristensen (Vessela); A. Kwong (Ava); Y. Laitman (Yael); D. Lambrechts (Diether); C. Lazaro (Conxi); E. Lee (Eunjung); L. Le Marchand (Loic); K.J. 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Rappaport (Christine); G. Rennert (Gad); A.L. Richardson (Andrea); M. Robson (Mark); I. Romieu (Isabelle); A. Rudolph (Anja); E.J.T. Rutgers (Emiel); M.-J. Sanchez (Maria-Jose); R. Santella (Regina); E.J. Sawyer (Elinor); D.F. Schmidt (Daniel); M.K. Schmidt (Marjanka); R.K. Schmutzler (Rita); F.R. Schumacher (Fredrick); R.J. Scott (Rodney); L. Senter (Leigha); P. Sharma (Priyanka); J. Simard (Jacques); C.F. Singer (Christian); O. Sinilnikova (Olga); P. Soucy (Penny); M.C. Southey (Melissa); D. Steinemann (Doris); M. Stenmark-Askmalm (Marie); D. Stoppa-Lyonnet (Dominique); A.J. Swerdlow (Anthony ); C. Szabo (Csilla); R. Tamimi (Rulla); W. Tapper (William); P.J. Teixeira; S.-H. Teo (Soo-Hwang); M.B. Terry (Mary Beth); M. Thomassen (Mads); D. Thompson (Deborah); L. Tihomirova (Laima); A.E. Toland (Amanda); R.A.E.M. Tollenaar (Rob); I.P. Tomlinson (Ian); T. Truong (Thérèse); H. Tsimiklis (Helen); A. Teulé (A.); R. Tumino (Rosario); N. Tung (Nadine); C. Turnbull (Clare); G. Ursin (Giski); C.H.M. van Deurzen (Carolien); E.J. van Rensburg (Elizabeth); R. Varon-Mateeva (Raymonda); Z. Wang (Zhaoming); S. Wang-Gohrke (Shan); E. Weiderpass (Elisabete); J.N. Weitzel (Jeffrey); A.S. Whittemore (Alice S.); H. Wildiers (Hans); R. Winqvist (Robert); X.R. Yang (Xiaohong R.); D. Yannoukakos (Drakoulis); S. Yao (Song); M.P. Zamora (Pilar); W. Zheng (Wei); P. Hall (Per); P. Kraft (Peter); C. Vachon (Celine); S. Slager (Susan); G. Chenevix-Trench (Georgia); P.D.P. Pharoah (Paul); A.A.N. Monteiro (Alvaro A. N.); M. García-Closas (Montserrat); D.F. Easton (Douglas F.); A.C. Antoniou (Antonis C.)

2016-01-01

textabstractCommon variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10-8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative

Replication of genome wide association studies on hepatocellular carcinoma susceptibility loci of STAT4 and HLA-DQ in a Korean population.

Science.gov (United States)

Kim, Lyoung Hyo; Cheong, Hyun Sub; Namgoong, Suhg; Kim, Ji On; Kim, Jeong-Hyun; Park, Byung Lae; Cho, Sung Won; Park, Neung Hwa; Cheong, Jae Youn; Koh, InSong; Shin, Hyoung Doo; Kim, Yoon-Jun

2015-07-01

A recent genome-wide association study (GWAS) for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) identified two loci (rs7574865 in STAT4 and rs9275319 in HLA-DQ) in a Chinese population. We attempted to replicate the associations between the two SNP loci and the risk of HCC in a Korean population. The rs7574865 in STAT4 and rs9275319 in HLA-DQ were genotyped in a total of 3838 Korean subjects composed of 287 HBV-related hepatocellular carcinoma patients, 671 chronic hepatitis B virus (CHB) patients, and 2880 population controls using TaqMan genotyping assay. Gene expression was measured by microarray. A logistic regression analysis revealed that rs7574865 in STAT4 and rs9275319 in HLA-DQ were associated with the risk of CHB (OR = 1.25, P = 0.0002 and OR = 1.57, P= 1.44 × 10(-10), respectively). However, these loci were no association with the risk of HBV-related HCC among CHB patients. In the gene expression analyses, although no significant differences in mRNA expression of nearby genes according to genotypes were detected, a significantly decreased mRNA expression in HCC subjects was observed in STAT4, HLA-DQA1, and HLA-DQB1. Although the genetic effects of two HCC susceptibility loci were not replicated, the two loci were found to exert susceptibility effects on the risk of CHB in a Korean population. In addition, the decreased mRNA expression of STAT4, HLA-DQA1, and HLA-DQB1 in HCC tissue might provide a clue to understanding their role in the progression to HCC. Copyright © 2015 Elsevier B.V. All rights reserved.

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

NARCIS (Netherlands)

Ried, Janina S; Jeff M, Janina; Bragg-Gresham, Jennifer L; van Dongen, Jenny; Huffman, Jennifer E; Ahluwalia, Tarunveer S; Cadby, Gemma; Eklund, Niina; Eriksson, Joel; Esko, Tõnu; Feitosa, Mary F; Goel, Anuj; Gorski, Mathias; Hayward, Caroline; Heard-Costa, Nancy L; Jackson, Anne U; Jokinen, Eero; Kanoni, Stavroula; Kristiansson, Kati; Kutalik, Zoltán; Lahti, Jari; Luan, Jian'an; Mägi, Reedik; Mahajan, Anubha; Mangino, Massimo; Medina-Gomez, Carolina; Monda, Keri L; Nolte, Ilja M; Pérusse, Louis; Prokopenko, Inga; Qi, Lu; Rose, Lynda M; Salvi, Erika; Smith, Megan T; Snieder, Harold; Stančáková, Alena; Ju Sung, Yun; Tachmazidou, Ioanna; Teumer, Alexander; Thorleifsson, Gudmar; van der Harst, Pim; Walker, Ryan W; Wang, Sophie R; Wild, Sarah H; Willems, Sara M; Wong, Andrew; Zhang, Weihua; Albrecht, Eva; Couto Alves, Alexessander; Bakker, Stephan J L; Barlassina, Cristina; Bartz, Traci M; Beilby, John; Bellis, Claire; Bergman, Richard N; Bergmann, Sven; Blangero, John; Blüher, Matthias; Boerwinkle, Eric; Bonnycastle, Lori L; Bornstein, Stefan R; Bruinenberg, Marcel; Campbell, Harry; Chen, Yii-Der Ida; Chiang, Charleston W K; Chines, Peter S; Collins, Francis S; Cucca, Fracensco; Cupples, L Adrienne; D'Avila, Francesca; de Geus, Eco J C; Dedoussis, George; Dimitriou, Maria; Döring, Angela; Eriksson, Johan G; Farmaki, Aliki-Eleni; Farrall, Martin; Ferreira, Teresa; Fischer, Krista; Forouhi, Nita G; Friedrich, Nele; Gjesing, Anette Prior; Glorioso, Nicola; Graff, Mariaelisa; Grallert, Harald; Grarup, Niels; Gräßler, Jürgen; Grewal, Jagvir; Hamsten, Anders; Harder, Marie Neergaard; Hartman, Catharina A; Hassinen, Maija; Hastie, Nicholas; Hattersley, Andrew Tym; Havulinna, Aki S; Heliövaara, Markku; Hillege, Hans; Hofman, Albert; Holmen, Oddgeir; Homuth, Georg; Hottenga, Jouke-Jan; Hui, Jennie; Husemoen, Lise Lotte; Hysi, Pirro G; Isaacs, Aaron; Ittermann, Till; Jalilzadeh, Shapour; James, Alan L; Jørgensen, Torben; Jousilahti, Pekka; Jula, Antti; Marie Justesen, Johanne; Justice, Anne E; Kähönen, Mika; Karaleftheri, Maria; Tee Khaw, Kay; Keinanen-Kiukaanniemi, Sirkka M; Kinnunen, Leena; Knekt, Paul B; Koistinen, Heikki A; Kolcic, Ivana; Kooner, Ishminder K; Koskinen, Seppo; Kovacs, Peter; Kyriakou, Theodosios; Laitinen, Tomi; Langenberg, Claudia; Lewin, Alexandra M; Lichtner, Peter; Lindgren, Cecilia M; Lindström, Jaana; Linneberg, Allan; Lorbeer, Roberto; Lorentzon, Mattias; Luben, Robert; Lyssenko, Valeriya; Männistö, Satu; Manunta, Paolo; Leach, Irene Mateo; McArdle, Wendy L; Mcknight, Barbara; Mohlke, Karen L; Mihailov, Evelin; Milani, Lili; Mills, Rebecca; Montasser, May E; Morris, Andrew P; Müller, Gabriele; Musk, Arthur W; Narisu, Narisu; Ong, Ken K; Oostra, Ben A; Osmond, Clive; Palotie, Aarno; Pankow, James S; Paternoster, Lavinia; Penninx, Brenda W; Pichler, Irene; Pilia, Maria G; Polašek, Ozren; Pramstaller, Peter P; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rayner, Nigel W; Ribel-Madsen, Rasmus; Rice, Treva K; Richards, Marcus; Ridker, Paul M; Rivadeneira, Fernando; Ryan, Kathy A; Sanna, Serena; Sarzynski, Mark A; Scholtens, Salome; Scott, Robert A; Sebert, Sylvain; Southam, Lorraine; Sparsø, Thomas Hempel; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stolk, Ronald P; Strauch, Konstantin; Stringham, Heather M; Swertz, Morris A; Swift, Amy J; Tönjes, Anke; Tsafantakis, Emmanouil; van der Most, Peter J; Van Vliet-Ostaptchouk, Jana V; Vandenput, Liesbeth; Vartiainen, Erkki; Venturini, Cristina; Verweij, Niek; Viikari, Jorma S; Vitart, Veronique; Vohl, Marie-Claude; Vonk, Judith M; Waeber, Gérard; Widén, Elisabeth; Willemsen, Gonneke; Wilsgaard, Tom; Winkler, Thomas W; Wright, Alan F; Yerges-Armstrong, Laura M; Hua Zhao, Jing; Carola Zillikens, M; Boomsma, Dorret I; Bouchard, Claude; Chambers, John C; Chasman, Daniel I; Cusi, Daniele; Gansevoort, Ron T; Gieger, Christian; Hansen, Torben; Hicks, Andrew A; Hu, Frank; Hveem, Kristian; Jarvelin, Marjo-Riitta; Kajantie, Eero; Kooner, Jaspal S; Kuh, Diana; Kuusisto, Johanna; Laakso, Markku; Lakka, Timo A; Lehtimäki, Terho; Metspalu, Andres; Njølstad, Inger; Ohlsson, Claes; Oldehinkel, Albertine J; Palmer, Lyle J; Pedersen, Oluf; Perola, Markus; Peters, Annette; Psaty, Bruce M; Puolijoki, Hannu; Rauramaa, Rainer; Rudan, Igor; Salomaa, Veikko; Schwarz, Peter E H; Shudiner, Alan R; Smit, Jan H; Sørensen, Thorkild I A; Spector, Timothy D; Stefansson, Kari; Stumvoll, Michael; Tremblay, Angelo; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; Völker, Uwe; Vollenweider, Peter; Wareham, Nicholas J; Watkins, Hugh; Wilson, James F; Zeggini, Eleftheria; Abecasis, Goncalo R; Boehnke, Michael; Borecki, Ingrid B; Deloukas, Panos; van Duijn, Cornelia M; Fox, Caroline; Groop, Leif C; Heid, Iris M; Hunter, David J; Kaplan, Robert C; McCarthy, Mark I; North, Kari E; O'Connell, Jeffrey R; Schlessinger, David; Thorsteinsdottir, Unnur; Strachan, David P; Frayling, Timothy; Hirschhorn, Joel N; Müller-Nurasyid, Martina; Loos, Ruth J F

2016-01-01

Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

DEFF Research Database (Denmark)

Ried, Janina S; Jeff M, Janina; Chu, Audrey Y

2016-01-01

Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculate...

A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

NARCIS (Netherlands)

J.S. Ried (Janina); J. Jeff (Janina); A.Y. Chu (Audrey Y); Bragg-Gresham, J.L. (Jennifer L.); J. van Dongen (Jenny); J.E. Huffman (Jennifer); T.S. Ahluwalia (Tarunveer Singh); G. Cadby (Gemma); N. Eklund (Niina); J. Eriksson (Joel); T. Esko (Tõnu); M.F. Feitosa (Mary Furlan); A. Goel (Anuj); M. Gorski (Mathias); C. Hayward (Caroline); N.L. Heard-Costa (Nancy); A.U. Jackson (Anne); Jokinen, E. (Eero); S. Kanoni (Stavroula); K. Kristiansson (Kati); Z. Kutalik (Zoltán); J. Lahti (Jari); J. Luan (Jian'An); R. Mägi (Reedik); A. Mahajan (Anubha); M. Mangino (Massimo); M.C. Medina-Gomez (Carolina); K.L. Monda (Keri); I.M. Nolte (Ilja); L. Perusse (Louis); I. Prokopenko (Inga); Qi, L. (Lu); L.M. Rose (Lynda); Salvi, E. (Erika); Smith, M.T. (Megan T.); H. Snieder (Harold); Standáková, A. (Alena); Ju Sung, Y. (Yun); I. Tachmazidou (Ioanna); A. Teumer (Alexander); G. Thorleifsson (Gudmar); P. van der Harst (Pim); Walker, R.W. (Ryan W.); S.R. Wang (Sophie); S.H. Wild (Sarah); S.M. Willems (Sara); A. Wong (Andrew); W. Zhang (Weihua); E. Albrecht (Eva); A. Couto-Alves (Alexessander); S.J.L. Bakker (Stephan); Barlassina, C. (Cristina); T.M. Bartz (Traci M.); J.P. Beilby (John); C. Bellis (Claire); Bergman, R.N. (Richard N.); S.M. Bergmann (Sven); J. Blangero (John); M. Blüher (Matthias); E.A. Boerwinkle (Eric); L.L. Bonnycastle (Lori); S.R. Bornstein (Stefan R.); M. Bruinenberg (M.); H. Campbell (Harry); Y.-D.I. Chen (Yii-Der Ida); Chiang, C.W.K. (Charleston W. K.); P.S. Chines (Peter); F.S. Collins (Francis); Cucca, F. (Fracensco); L.A. Cupples (Adrienne); D'avila, F. (Francesca); E.J.C. de Geus (Eco); G.V. Dedoussis (George); M. Dimitriou (Maria); A. Döring (Angela); K. Hagen (Knut); A.-E. Farmaki (Aliki-Eleni); M. Farrall (Martin); T. Ferreira (Teresa); K. Fischer (Krista); N.G. Forouhi (Nita); N. Friedrich (Nele); A.P. Gjesing (Anette); N. Glorioso (Nicola); M.J. Graff (Maud J.L.); H. Grallert (Harald); N. Grarup (Niels); J. Gräßler (Jürgen); J. Grewal (Jagvir); A. Hamsten (Anders); Harder, M.N. (Marie Neergaard); Hartman, C.A. (Catharina A.); Hassinen, M. (Maija); N. Hastie (Nick); A.T. Hattersley (Andrew); A.S. Havulinna (Aki); M. Heliovaara (Markku); H.L. Hillege (Hans); A. Hofman (Albert); O.L. Holmen (Oddgeir); G. Homuth (Georg); J.J. Hottenga (Jouke Jan); J. Hui (Jennie); L.L.N. Husemoen (Lise Lotte); P.G. Hysi (Pirro); A.J. Isaacs (Aaron); T. Ittermann (Till); S. Jalilzadeh (Shapour); A. James (Alan); T. Jorgensen (Torben); P. Jousilahti (Pekka); A. Jula (Antti); Marie Justesen, J. (Johanne); A.E. Justice (Anne); M. Kähönen (Mika); M. Karaleftheri (Maria); Tee Khaw, K. (Kay); S. Keinanen-Kiukaanniemi (Sirkka); L. Kinnunen (Leena); P. Knekt; H. Koistinen (Heikki); I. Kolcic (Ivana); I.K. Kooner (Ishminder K.); S. Koskinen (Seppo); P. Kovacs (Peter); T. Kyriakou (Theodosios); Laitinen, T. (Tomi); C. Langenberg (Claudia); A. Lewin (Alex); P. Lichtner (Peter); C.M. Lindgren (Cecilia); J. Lindström (Jaana); A. Linneberg (Allan); R. Lorbeer (Roberto); M. Lorentzon (Mattias); R.N. Luben (Robert); V. Lyssenko (Valeriya); S. Männistö (Satu); P. Manunta (Paolo); I.M. Leach (Irene Mateo); W.L. McArdle (Wendy); Mcknight, B. (Barbara); K.L. Mohlke (Karen); E. Mihailov (Evelin); L. Milani (Lili); R. Mills (Rebecca); M.E. Montasser (May E.); A.P. Morris (Andrew); G. Müller (Gabriele); Musk, A.W. (Arthur W.); N. Narisu (Narisu); K.K. Ong (Ken K.); B.A. Oostra (Ben); C. Osmond (Clive); A. Palotie (Aarno); J.S. Pankow (James); L. Paternoster (Lavinia); B.W.J.H. Penninx (Brenda); I. Pichler (Irene); M.G. Pilia (Maria Grazia); O. Polasek (Ozren); P.P. Pramstaller (Peter Paul); O.T. Raitakari (Olli T.); T. Rankinen (Tuomo); Rao, D.C.; N.W. Rayner (Nigel William); Ribel-Madsen, R. (Rasmus); Rice, T.K. (Treva K.); Richards, M. (Marcus); P.M. Ridker (Paul); F. Rivadeneira Ramirez (Fernando); Ryan, K.A. (Kathy A.); S. Sanna (Serena); M.A. Sarzynski (Mark A.); S. Scholtens (Salome); R.A. Scott (Robert); S. Sebert (Sylvain); L. Southam (Lorraine); T. Sparsø (Thomas); V. Steinthorsdottir (Valgerdur); K. Stirrups (Kathy); R.P. Stolk (Ronald); K. Strauch (Konstantin); H.M. Stringham (Heather); M. Swertz (Morris); A.J. Swift (Amy); A. Tönjes (Anke); E. Tsafantakis (Emmanouil); P.J. van der Most (Peter); J.V. van Vliet-Ostaptchouk (Jana); L. Vandenput (Liesbeth); Vartiainen, E. (Erkki); C. Venturini (Cristina); N. Verweij (Niek); J. Viikari (Jorma); Vitart, V. (Veronique); M.-C. Vohl (Marie-Claude); J.M. Vonk (Judith); G. Waeber (Gérard); E. Widen (Elisabeth); G.A.H.M. Willemsen (Gonneke); T. Wilsgaard (Tom); T.W. Winkler (Thomas W.); A.F. Wright (Alan); L.M. Yerges-Armstrong (Laura); Zhao, J.H. (Jing Hua); M.C. Zillikens (Carola); D.I. Boomsma (Dorret); C. Bouchard (Claude); J.C. Chambers (John); D.I. Chasman (Daniel); D. Cusi (Daniele); R.T. Gansevoort (Ron); C. Gieger (Christian); T. Hansen (T.); A.A. Hicks (Andrew); Hu, F. (Frank); K. Hveem (Kristian); M.-R. Jarvelin (Marjo-Riitta); E. Kajantie (Eero); J.S. Kooner (Jaspal S.); D. Kuh (Diana); J. Kuusisto (Johanna); M. Laakso (Markku); T.A. Lakka (Timo); T. Lehtimäki (Terho); A. Metspalu (Andres); I. Njølstad (Inger); C. Ohlsson (Claes); A.J. Oldehinkel (Albertine); Palmer, L.J. (Lyle J.); O. Pedersen (Oluf); M. Perola (Markus); A. Peters (Annette); B.M. Psaty (Bruce); Puolijoki, H. (Hannu); R. Rauramaa (Rainer); I. Rudan (Igor); V. Salomaa (Veikko); P.E.H. Schwarz (Peter); Shudiner, A.R. (Alan R.); J.H. Smit (Jan); T.I.A. Sørensen (Thorkild); T.D. Spector (Timothy); J-A. Zwart (John-Anker); M. Stumvoll (Michael); Tremblay, A. (Angelo); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); Uusitupa, M. (Matti); U. Völker (Uwe); P. Vollenweider (Peter); N.J. Wareham (Nick); H. Watkins (Hugh); J.F. Wilson (James); E. Zeggini (Eleftheria); G.R. Abecasis (Gonçalo); M. Boehnke (Michael); I.B. Borecki (Ingrid); P. Deloukas (Panagiotis); C.M. van Duijn (Cornelia); C.S. Fox (Caroline); L. Groop (Leif); I.M. Heid (Iris); Hunter, D.J. (David J.); R.C. Kaplan (Robert); M.I. McCarthy (Mark); K.E. North (Kari); J.R. O´Connell; Schlessinger, D. (David); U. Thorsteinsdottir (Unnur); D.P. Strachan (David); T.M. Frayling (Timothy); J.N. Hirschhorn (Joel); M. Müller-Nurasyid (Martina); R.J.F. Loos (Ruth)

2016-01-01

textabstractLarge consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that

Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure

NARCIS (Netherlands)

L.V. Wain (Louise); G.C. Verwoert (Germaine); P.F. O'Reilly (Paul); G. Shi (Gang); T. Johnson (Toby); M. Bochud (Murielle); K. Rice (Kenneth); P. Henneman (Peter); A.V. Smith (Albert Vernon); G.B. Ehret (Georg); N. Amin (Najaf); M.G. Larson (Martin); V. Mooser (Vincent); D. Hadley (David); M. Dörr (Marcus); J.C. Bis (Joshua); T. Aspelund (Thor); T. Esko (Tõnu); A.C.J.W. Janssens (Cécile); J.H. Zhao (Jing Hua); S.C. Heath (Simon); M. Laan (Maris); J. Fu (Jingyuan); G. Pistis (Giorgio); J. Luan; G. Lucas (Gavin); N. Pirastu (Nicola); I. Pichler (Irene); A.U. Jackson (Anne); R.J. Webster (Rebecca J.); F.F. Zhang; J. Peden (John); R. Schmidt (Reinhold); T. Tanaka (Toshiko); H. Campbell (Harry); W. Igl (Wilmar); Y. Milaneschi (Yuri); J.J. Hottenga (Jouke Jan); V. Vitart (Veronique); D.I. Chasman (Daniel); S. Trompet (Stella); J.L. Bragg-Gresham (Jennifer L.); B.Z. Alizadeh (Behrooz); J.C. Chambers (John); X. Guo (Xiuqing); T. Lehtimäki (Terho); B. Kuhnel (Brigitte); L.M. Lopez; O. Polasek (Ozren); M. Boban (Mladen); C.P. Nelson (Christopher P.); A.C. Morrison (Alanna); V. Pihur (Vasyl); S.K. Ganesh (Santhi); A. Hofman (Albert); S. Kundu (Suman); F.U.S. Mattace Raso (Francesco); F. Rivadeneira Ramirez (Fernando); E.J.G. Sijbrands (Eric); A.G. Uitterlinden (André); S.J. Hwang; R.S. Vasan (Ramachandran Srini); Y.A. Wang (Ying); S.M. Bergmann (Sven); P. Vollenweider (Peter); G. Waeber (Gérard); J. Laitinen (Jaana); A. Pouta (Anneli); P. Zitting (Paavo); W.L. McArdle (Wendy); H.K. Kroemer (Heyo); U. Völker (Uwe); H. Völzke (Henry); N.L. Glazer (Nicole); K.D. Taylor (Kent); T.B. Harris (Tamara); H. Alavere (Helene); T. Haller (Toomas); A. Keis (Aime); M.L. Tammesoo; Y.S. Aulchenko (Yurii); K-T. Khaw (Kay-Tee); P. Galan (Pilar); S. Hercberg (Serge); G.M. Lathrop (Mark); S. Eyheramendy (Susana); E. Org (Elin); S. Sõber (Siim); X. Lu (Xiaowen); I.M. Nolte (Ilja); B.W.J.H. Penninx (Brenda); T. Corre (Tanguy); C. Masciullo (Corrado); C. Sala (Cinzia); L. Groop (Leif); B.F. Voight (Benjamin); O. Melander (Olle); C.J. O'Donnell (Christopher); V. Salomaa (Veikko); P. d' Adamo (Pio); A. Fabretto (Antonella); F. Faletra (Flavio); S. Ulivi (Shelia); F. Del Greco M (Fabiola); M.F. Facheris (Maurizio); F.S. Collins (Francis); R.N. Bergman (Richard); J.P. Beilby (John); J. Hung (Judy); A.W. Musk (Arthur); M. Mangino (Massimo); S.Y. Shin (So Youn); N. Soranzo (Nicole); H. Watkins (Hugh); A. Goel (Anuj); A. Hamsten (Anders); P. Gider (Pierre); M. Loitfelder (Marisa); M. Zeginigg (Marion); D.G. Hernandez (Dena); S.S. Najjar (Samer); P. Navarro (Pau); S.H. Wild (Sarah); A.M. Corsi (Anna Maria); A. Singleton (Andrew); E.J.C. de Geus (Eco); G.A.H.M. Willemsen (Gonneke); A.N. Parker (Alex); L.M. Rose (Lynda); B.M. Buckley (Brendan M.); D.J. Stott (David. J.); M. Orrù (Marco); M. Uda (Manuela); M.M. van der Klauw (Melanie); X. Li (Xiaohui); J. Scott (James); Y.D.I. Chen (Yii-Der Ida); G.L. Burke (Greg); M. Kähönen (Mika); J. Viikari (Jorma); A. Döring (Angela); T. Meitinger (Thomas); G.S. Davis; J.M. Starr (John); V. Emilsson (Valur); A.S. Plump (Andrew); J.H. Lindeman (Jan H.); P.A.C. 't Hoen (Peter); I.R. König (Inke); J.F. Felix (Janine); R. Clarke; J. Hopewell; H. Ongen (Halit); M.M.B. Breteler (Monique); S. Debette (Stéphanie); A.L. DeStefano (Anita); M. Fornage (Myriam); G.F. Mitchell (Gary); H. Holm (Hilma); K. Stefansson (Kari); G. Thorleifsson (Gudmar); U. Thorsteinsdottir (Unnur); N.J. Samani (Nilesh); M. Preuss (Michael); I. Rudan (Igor); C. Hayward (Caroline); I.J. Deary (Ian); H.E. Wichmann (Heinz Erich); O. Raitakari (Olli); W. Palmas (Walter); J.S. Kooner (Jaspal); R.P. Stolk (Ronald); J.W. Jukema (Jan Wouter); A.F. Wright (Alan); D.I. Boomsma (Dorret); S. Bandinelli (Stefania); U. Gyllensten (Ulf); J.F. Wilson (James); L. Ferrucci (Luigi); M. Farrall (Martin); T.D. Spector (Timothy); L.J. Palmer; J. Tuomilehto (Jaakko); A. Pfeufer (Arne); P. Gasparini (Paolo); D.S. Siscovick (David); D. Altshuler (David); R.J.F. Loos (Ruth); D. Toniolo (Daniela); H. Snieder (Harold); C. Gieger (Christian); P. Meneton (Pierre); N.J. Wareham (Nick); B.A. Oostra (Ben); A. Metspalu (Andres); L.J. Launer (Lenore); R. Rettig (Rainer); D.P. Strachan (David); J.S. Beckmann (Jacques); J.C.M. Witteman (Jacqueline); J.A.P. Willems van Dijk (Ko); E.A. Boerwinkle (Eric); M. Boehnke (Michael); P.M. Ridker (Paul); M.R. Järvelin; A. Chakravarti (Aravinda); J. Erdmann (Jeanette); V. Gudnason (Vilmundur); C. Newton-Cheh (Christopher); D. Levy (Daniel); P. Arora (Pankaj); P. Munroe (Patricia); B.M. Psaty (Bruce); M. Caulfield (Mark); D.C. Rao (Dabeeru C.); P. Elliott (Paul); P. Tikka-Kleemola (Päivi); G.R. Abecasis (Gonçalo); I.E. Barroso (Inês)

2011-01-01

textabstractNumerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N =

Genome-wide association study identifies four loci associated with eruption of permanent teeth

DEFF Research Database (Denmark)

Geller, Frank; Feenstra, Bjarke; Zhang, Hao

2011-01-01

The sequence and timing of permanent tooth eruption is thought to be highly heritable and can have important implications for the risk of malocclusion, crowding, and periodontal disease. We conducted a genome-wide association study of number of permanent teeth erupted between age 6 and 14 years......, analyzed as age-adjusted standard deviation score averaged over multiple time points, based on childhood records for 5,104 women from the Danish National Birth Cohort. Four loci showed association at P...

Immunochip analysis identification of 6 additional susceptibility loci for Crohn's disease in Koreans.

Science.gov (United States)

Yang, Suk-Kyun; Hong, Myunghee; Choi, Hyunchul; Zhao, Wanting; Jung, Yusun; Haritunians, Talin; Ye, Byong Duk; Kim, Kyung-Jo; Park, Sang Hyoung; Lee, Inchul; Kim, Won Ho; Cheon, Jae Hee; Kim, Young-Ho; Jang, Byung Ik; Kim, Hyun-Soo; Choi, Jai Hyun; Koo, Ja Seol; Lee, Ji Hyun; Jung, Sung-Ae; Shin, Hyoung Doo; Kang, Daehee; Youn, Hee-Shang; Taylor, Kent D; Rotter, Jerome I; Liu, Jianjun; McGovern, Dermot P B; Song, Kyuyoung

2015-01-01

Crohn's disease (CD) is an intractable inflammatory bowel disease of unknown cause. Recent genome-wide association studies of CD in Korean and Japanese populations suggested marginal sharing of susceptibility loci between Caucasian and Asian populations. As the 7 identified loci altogether explain 5.31% of the risk for CD, the objective of this study was to identify additional CD susceptibility loci in the Korean population. Using the ImmunoChip custom single-nucleotide polymorphism array designed for dense genotyping of 186 loci identified through GWAS, we analyzed 722 individuals with CD and 461 controls for 96,048 SNP markers in the discovery stage, followed by validation in an additional 948 affected individuals and 977 controls. We confirmed 6 previously reported loci in Caucasian: GPR35 at 2q37 (rs3749172; P = 5.30 × 10, odds ratio [OR] = 1.45), ZNF365 at 10q21 (rs224143; P = 2.20 × 10, OR = 1.38), ZMIZ1 at 10q22 (rs1250569; P = 3.05 × 10, OR = 1.30), NKX2-3 at 10q24 (rs4409764; P = 7.93 × 10, OR = 1.32), PTPN2 at 18p11 (rs514000; P = 9.00 × 10, OR = 1.33), and USP25 at 21q11 (rs2823256; P = 2.49 × 10, OR = 1.35), bringing the number of known CD loci (including 3 in the HLA) in Koreans to 15. The 6 additional loci increased the total genetic variance for CD risk from 5.31% to 7.27% in Koreans. Although the different genetic backgrounds of CD between Asian and Western countries has been well established for the major susceptibility genes, our findings of overlapping associations offer new insights into the genetic architecture of CD.

Origins of amino acid transporter loci in trypanosomatid parasites

Directory of Open Access Journals (Sweden)

Jackson Andrew P

2007-02-01

Full Text Available Abstract Background Large amino acid transporter gene families were identified from the genome sequences of three parasitic protists, Trypanosoma brucei, Trypanosoma cruzi and Leishmania major. These genes encode molecular sensors of the external host environment for trypanosomatid cells and are crucial to modulation of gene expression as the parasite passes through different life stages. This study provides a comprehensive phylogenetic account of the origins of these genes, redefining each locus according to a positional criterion, through the integration of phyletic identity with comparative gene order information. Results Each locus was individually specified by its surrounding gene order and associated with homologs showing the same position ('homoeologs' in other species, where available. Bayesian and maximum likelihood phylogenies were in general agreement on systematic relationships and confirmed several 'orthology sets' of genes retained since divergence from the common ancestor. Reconciliation analysis quantified the scale of duplication and gene loss, as well as identifying further apparent orthology sets, which lacked conservation of genomic position. These instances suggested substantial genomic restructuring or transposition. Other analyses identified clear instances of evolutionary rate changes post-duplication, the effects of concerted evolution within tandem gene arrays and gene conversion events between syntenic loci. Conclusion Despite their importance to cell function and parasite development, the repertoires of AAT loci in trypanosomatid parasites are relatively fluid in both complement and gene dosage. Some loci are ubiquitous and, after an ancient origin through transposition, originated through descent from the ancestral trypanosomatid. However, reconciliation analysis demonstrated that unilateral expansions of gene number through tandem gene duplication, transposition of gene duplicates to otherwise well conserved genomic

Quantitative trait loci associated with anthracnose resistance in sorghum

Science.gov (United States)

With an aim to develop a durable resistance to the fungal disease anthracnose, two unique genetic sources of resistance were selected to create genetic mapping populations to identify regions of the sorghum genome that encode anthracnose resistance. A series of quantitative trait loci were identifi...

[Identification of novel variable number tandem repeat (VNTR) loci in Mycobacterium avium and development of an effective means of VNTR typing].

Science.gov (United States)

Kurokawa, Kazuhiro; Uchiya, Kei-Ichi; Yagi, Tetsuya; Takahashi, Hiroyasu; Niimi, Masaki; Ichikawa, Kazuya; Inagaki, Takayuki; Moriyama, Makoto; Nikai, Toshiaki; Hayashi, Yuta; Nakagawa, Taku; Ogawa, Kenji

2012-07-01

To make more effective use of variable number tandem repeat (VNTR) typing, we identified novel VNTR loci in Mycobacterium avium and used them for modified M. avium tandem repeat-VNTR (MATR-VNTR) typing. Analysis of a DNA sample extracted from a clinical isolate (strain HN135) with the FLX system genome sequencer (Roche Diagnostic System) led to discovery of several novel VNTR loci. The allelic diversity of the novel VNTR loci was evaluated for 71 clinical isolates and compared with the diversity of the MATR-VNTR loci. To improve efficacy of MATR-VNTR typing, we tested typing using 2 sets of loci selected from the newly identified loci and the MATR loci, i.e., one set containing 7 and another 16 loci. Hunter Gaston's discriminatory index (HGDI) was calculated for these sets. Six VNTR loci were newly identified, of which 5 showed a high diversity. The HGDI was 0.980 for the improved new typing using a set of 7 loci, and 0.995 for another set of 16 loci, while it was 0.992 for the conventional MATR-VNTR typing. VNTR typing with the set of the 7 loci enabled a rapid analysis, and another set of 16 loci enabled a precise analysis, as compared with conventional MATR-VNTR typing. A method that uses only VNTR loci with relatively high allelic diversity is considered to be a useful tool for VNTR typing of MAC isolates.

Identifying loci influencing grain number by microsatellite screening in bread wheat (Triticum aestivum L.).

Science.gov (United States)

Zhang, Dongling; Hao, Chenyang; Wang, Lanfen; Zhang, Xueyong

2012-11-01

Grain number (GN) is one of three major yield-related components in wheat. We used the Chinese wheat mini core collection to undertake a genome-wide association analysis of grain number using 531 SSR markers randomly located on all 21 chromosomes. Grain numbers of all accessions were measured in four trials, i.e. two environments in four growing seasons. Association analysis based on a mixed linear model (MLM) revealed that 27 SSR loci were significantly associated with mean GN (MGN) estimated by the best linear unbiased predictor (BLUP) method. These included numerous breeder favorable alleles with strong positive effects at 23 loci. Significant or extremely significant differences were detected on MGN between varieties conveying favored allele and varieties with other alleles. Moreover, statistical simulation showed that the favored alleles have additive genetic effects. Although modern varieties combined larger numbers of favored alleles, the numbers of favored alleles were not significantly different from those in landraces, especially those alleles contributing mostly to the phenotypic variation. These results indicate that there is still considerable genetic potential for use of markers for genome selection of GN for high yield in wheat.

Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Science.gov (United States)

Zillikens, M Carola; Demissie, Serkalem; Hsu, Yi-Hsiang; Yerges-Armstrong, Laura M; Chou, Wen-Chi; Stolk, Lisette; Livshits, Gregory; Broer, Linda; Johnson, Toby; Koller, Daniel L; Kutalik, Zoltán; Luan, Jian'an; Malkin, Ida; Ried, Janina S; Smith, Albert V; Thorleifsson, Gudmar; Vandenput, Liesbeth; Hua Zhao, Jing; Zhang, Weihua; Aghdassi, Ali; Åkesson, Kristina; Amin, Najaf; Baier, Leslie J; Barroso, Inês; Bennett, David A; Bertram, Lars; Biffar, Rainer; Bochud, Murielle; Boehnke, Michael; Borecki, Ingrid B; Buchman, Aron S; Byberg, Liisa; Campbell, Harry; Campos Obanda, Natalia; Cauley, Jane A; Cawthon, Peggy M; Cederberg, Henna; Chen, Zhao; Cho, Nam H; Jin Choi, Hyung; Claussnitzer, Melina; Collins, Francis; Cummings, Steven R; De Jager, Philip L; Demuth, Ilja; Dhonukshe-Rutten, Rosalie A M; Diatchenko, Luda; Eiriksdottir, Gudny; Enneman, Anke W; Erdos, Mike; Eriksson, Johan G; Eriksson, Joel; Estrada, Karol; Evans, Daniel S; Feitosa, Mary F; Fu, Mao; Garcia, Melissa; Gieger, Christian; Girke, Thomas; Glazer, Nicole L; Grallert, Harald; Grewal, Jagvir; Han, Bok-Ghee; Hanson, Robert L; Hayward, Caroline; Hofman, Albert; Hoffman, Eric P; Homuth, Georg; Hsueh, Wen-Chi; Hubal, Monica J; Hubbard, Alan; Huffman, Kim M; Husted, Lise B; Illig, Thomas; Ingelsson, Erik; Ittermann, Till; Jansson, John-Olov; Jordan, Joanne M; Jula, Antti; Karlsson, Magnus; Khaw, Kay-Tee; Kilpeläinen, Tuomas O; Klopp, Norman; Kloth, Jacqueline S L; Koistinen, Heikki A; Kraus, William E; Kritchevsky, Stephen; Kuulasmaa, Teemu; Kuusisto, Johanna; Laakso, Markku; Lahti, Jari; Lang, Thomas; Langdahl, Bente L; Launer, Lenore J; Lee, Jong-Young; Lerch, Markus M; Lewis, Joshua R; Lind, Lars; Lindgren, Cecilia; Liu, Yongmei; Liu, Tian; Liu, Youfang; Ljunggren, Östen; Lorentzon, Mattias; Luben, Robert N; Maixner, William; McGuigan, Fiona E; Medina-Gomez, Carolina; Meitinger, Thomas; Melhus, Håkan; Mellström, Dan; Melov, Simon; Michaëlsson, Karl; Mitchell, Braxton D; Morris, Andrew P; Mosekilde, Leif; Newman, Anne; Nielson, Carrie M; O'Connell, Jeffrey R; Oostra, Ben A; Orwoll, Eric S; Palotie, Aarno; Parker, Stephen C J; Peacock, Munro; Perola, Markus; Peters, Annette; Polasek, Ozren; Prince, Richard L; Räikkönen, Katri; Ralston, Stuart H; Ripatti, Samuli; Robbins, John A; Rotter, Jerome I; Rudan, Igor; Salomaa, Veikko; Satterfield, Suzanne; Schadt, Eric E; Schipf, Sabine; Scott, Laura; Sehmi, Joban; Shen, Jian; Soo Shin, Chan; Sigurdsson, Gunnar; Smith, Shad; Soranzo, Nicole; Stančáková, Alena; Steinhagen-Thiessen, Elisabeth; Streeten, Elizabeth A; Styrkarsdottir, Unnur; Swart, Karin M A; Tan, Sian-Tsung; Tarnopolsky, Mark A; Thompson, Patricia; Thomson, Cynthia A; Thorsteinsdottir, Unnur; Tikkanen, Emmi; Tranah, Gregory J; Tuomilehto, Jaakko; van Schoor, Natasja M; Verma, Arjun; Vollenweider, Peter; Völzke, Henry; Wactawski-Wende, Jean; Walker, Mark; Weedon, Michael N; Welch, Ryan; Wichmann, H-Erich; Widen, Elisabeth; Williams, Frances M K; Wilson, James F; Wright, Nicole C; Xie, Weijia; Yu, Lei; Zhou, Yanhua; Chambers, John C; Döring, Angela; van Duijn, Cornelia M; Econs, Michael J; Gudnason, Vilmundur; Kooner, Jaspal S; Psaty, Bruce M; Spector, Timothy D; Stefansson, Kari; Rivadeneira, Fernando; Uitterlinden, André G; Wareham, Nicholas J; Ossowski, Vicky; Waterworth, Dawn; Loos, Ruth J F; Karasik, David; Harris, Tamara B; Ohlsson, Claes; Kiel, Douglas P

2017-07-19

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.

Genetic association study of exfoliation syndrome identifies a protective rare variant at LOXL1 and five new susceptibility loci.

Science.gov (United States)

Aung, Tin; Ozaki, Mineo; Lee, Mei Chin; Schlötzer-Schrehardt, Ursula; Thorleifsson, Gudmar; Mizoguchi, Takanori; Igo, Robert P; Haripriya, Aravind; Williams, Susan E; Astakhov, Yury S; Orr, Andrew C; Burdon, Kathryn P; Nakano, Satoko; Mori, Kazuhiko; Abu-Amero, Khaled; Hauser, Michael; Li, Zheng; Prakadeeswari, Gopalakrishnan; Bailey, Jessica N Cooke; Cherecheanu, Alina Popa; Kang, Jae H; Nelson, Sarah; Hayashi, Ken; Manabe, Shin-Ichi; Kazama, Shigeyasu; Zarnowski, Tomasz; Inoue, Kenji; Irkec, Murat; Coca-Prados, Miguel; Sugiyama, Kazuhisa; Järvelä, Irma; Schlottmann, Patricio; Lerner, S Fabian; Lamari, Hasnaa; Nilgün, Yildirim; Bikbov, Mukharram; Park, Ki Ho; Cha, Soon Cheol; Yamashiro, Kenji; Zenteno, Juan C; Jonas, Jost B; Kumar, Rajesh S; Perera, Shamira A; Chan, Anita S Y; Kobakhidze, Nino; George, Ronnie; Vijaya, Lingam; Do, Tan; Edward, Deepak P; de Juan Marcos, Lourdes; Pakravan, Mohammad; Moghimi, Sasan; Ideta, Ryuichi; Bach-Holm, Daniella; Kappelgaard, Per; Wirostko, Barbara; Thomas, Samuel; Gaston, Daniel; Bedard, Karen; Greer, Wenda L; Yang, Zhenglin; Chen, Xueyi; Huang, Lulin; Sang, Jinghong; Jia, Hongyan; Jia, Liyun; Qiao, Chunyan; Zhang, Hui; Liu, Xuyang; Zhao, Bowen; Wang, Ya-Xing; Xu, Liang; Leruez, Stéphanie; Reynier, Pascal; Chichua, George; Tabagari, Sergo; Uebe, Steffen; Zenkel, Matthias; Berner, Daniel; Mossböck, Georg; Weisschuh, Nicole; Hoja, Ursula; Welge-Luessen, Ulrich-Christoph; Mardin, Christian; Founti, Panayiota; Chatzikyriakidou, Anthi; Pappas, Theofanis; Anastasopoulos, Eleftherios; Lambropoulos, Alexandros; Ghosh, Arkasubhra; Shetty, Rohit; Porporato, Natalia; Saravanan, Vijayan; Venkatesh, Rengaraj; Shivkumar, Chandrashekaran; Kalpana, Narendran; Sarangapani, Sripriya; Kanavi, Mozhgan R; Beni, Afsaneh Naderi; Yazdani, Shahin; Lashay, Alireza; Naderifar, Homa; Khatibi, Nassim; Fea, Antonio; Lavia, Carlo; Dallorto, Laura; Rolle, Teresa; Frezzotti, Paolo; Paoli, Daniela; Salvi, Erika; Manunta, Paolo; Mori, Yosai; Miyata, Kazunori; Higashide, Tomomi; Chihara, Etsuo; Ishiko, Satoshi; Yoshida, Akitoshi; Yanagi, Masahide; Kiuchi, Yoshiaki; Ohashi, Tsutomu; Sakurai, Toshiya; Sugimoto, Takako; Chuman, Hideki; Aihara, Makoto; Inatani, Masaru; Miyake, Masahiro; Gotoh, Norimoto; Matsuda, Fumihiko; Yoshimura, Nagahisa; Ikeda, Yoko; Ueno, Morio; Sotozono, Chie; Jeoung, Jin Wook; Sagong, Min; Park, Kyu Hyung; Ahn, Jeeyun; Cruz-Aguilar, Marisa; Ezzouhairi, Sidi M; Rafei, Abderrahman; Chong, Yaan Fun; Ng, Xiao Yu; Goh, Shuang Ru; Chen, Yueming; Yong, Victor H K; Khan, Muhammad Imran; Olawoye, Olusola O; Ashaye, Adeyinka O; Ugbede, Idakwo; Onakoya, Adeola; Kizor-Akaraiwe, Nkiru; Teekhasaenee, Chaiwat; Suwan, Yanin; Supakontanasan, Wasu; Okeke, Suhanya; Uche, Nkechi J; Asimadu, Ifeoma; Ayub, Humaira; Akhtar, Farah; Kosior-Jarecka, Ewa; Lukasik, Urszula; Lischinsky, Ignacio; Castro, Vania; Grossmann, Rodolfo Perez; Sunaric Megevand, Gordana; Roy, Sylvain; Dervan, Edward; Silke, Eoin; Rao, Aparna; Sahay, Priti; Fornero, Pablo; Cuello, Osvaldo; Sivori, Delia; Zompa, Tamara; Mills, Richard A; Souzeau, Emmanuelle; Mitchell, Paul; Wang, Jie Jin; Hewitt, Alex W; Coote, Michael; Crowston, Jonathan G; Astakhov, Sergei Y; Akopov, Eugeny L; Emelyanov, Anton; Vysochinskaya, Vera; Kazakbaeva, Gyulli; Fayzrakhmanov, Rinat; Al-Obeidan, Saleh A; Owaidhah, Ohoud; Aljasim, Leyla Ali; Chowbay, Balram; Foo, Jia Nee; Soh, Raphael Q; Sim, Kar Seng; Xie, Zhicheng; Cheong, Augustine W O; Mok, Shi Qi; Soo, Hui Meng; Chen, Xiao Yin; Peh, Su Qin; Heng, Khai Koon; Husain, Rahat; Ho, Su-Ling; Hillmer, Axel M; Cheng, Ching-Yu; Escudero-Domínguez, Francisco A; González-Sarmiento, Rogelio; Martinon-Torres, Frederico; Salas, Antonio; Pathanapitoon, Kessara; Hansapinyo, Linda; Wanichwecharugruang, Boonsong; Kitnarong, Naris; Sakuntabhai, Anavaj; Nguyn, Hip X; Nguyn, Giang T T; Nguyn, Trình V; Zenz, Werner; Binder, Alexander; Klobassa, Daniela S; Hibberd, Martin L; Davila, Sonia; Herms, Stefan; Nöthen, Markus M; Moebus, Susanne; Rautenbach, Robyn M; Ziskind, Ari; Carmichael, Trevor R; Ramsay, Michele; Álvarez, Lydia; García, Montserrat; González-Iglesias, Héctor; Rodríguez-Calvo, Pedro P; Fernández-Vega Cueto, Luis; Oguz, Çilingir; Tamcelik, Nevbahar; Atalay, Eray; Batu, Bilge; Aktas, Dilek; Kasım, Burcu; Wilson, M Roy; Coleman, Anne L; Liu, Yutao; Challa, Pratap; Herndon, Leon; Kuchtey, Rachel W; Kuchtey, John; Curtin, Karen; Chaya, Craig J; Crandall, Alan; Zangwill, Linda M; Wong, Tien Yin; Nakano, Masakazu; Kinoshita, Shigeru; den Hollander, Anneke I; Vesti, Eija; Fingert, John H; Lee, Richard K; Sit, Arthur J; Shingleton, Bradford J; Wang, Ningli; Cusi, Daniele; Qamar, Raheel; Kraft, Peter; Pericak-Vance, Margaret A; Raychaudhuri, Soumya; Heegaard, Steffen; Kivelä, Tero; Reis, André; Kruse, Friedrich E; Weinreb, Robert N; Pasquale, Louis R; Haines, Jonathan L; Thorsteinsdottir, Unnur; Jonasson, Fridbert; Allingham, R Rand; Milea, Dan; Ritch, Robert; Kubota, Toshiaki; Tashiro, Kei; Vithana, Eranga N; Micheal, Shazia; Topouzis, Fotis; Craig, Jamie E; Dubina, Michael; Sundaresan, Periasamy; Stefansson, Kari; Wiggs, Janey L; Pasutto, Francesca; Khor, Chiea Chuen

2017-07-01

Exfoliation syndrome (XFS) is the most common known risk factor for secondary glaucoma and a major cause of blindness worldwide. Variants in two genes, LOXL1 and CACNA1A, have previously been associated with XFS. To further elucidate the genetic basis of XFS, we collected a global sample of XFS cases to refine the association at LOXL1, which previously showed inconsistent results across populations, and to identify new variants associated with XFS. We identified a rare protective allele at LOXL1 (p.Phe407, odds ratio (OR) = 25, P = 2.9 × 10 -14 ) through deep resequencing of XFS cases and controls from nine countries. A genome-wide association study (GWAS) of XFS cases and controls from 24 countries followed by replication in 18 countries identified seven genome-wide significant loci (P < 5 × 10 -8 ). We identified association signals at 13q12 (POMP), 11q23.3 (TMEM136), 6p21 (AGPAT1), 3p24 (RBMS3) and 5q23 (near SEMA6A). These findings provide biological insights into the pathology of XFS and highlight a potential role for naturally occurring rare LOXL1 variants in disease biology.

Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes

DEFF Research Database (Denmark)

Broeks, Annegien; Schmidt, Marjanka K; Sherman, Mark E

2011-01-01

Breast cancers demonstrate substantial biological, clinical and etiological heterogeneity. We investigated breast cancer risk associations of eight susceptibility loci identified in GWAS and two putative susceptibility loci in candidate genes in relation to specific breast tumor subtypes. Subtype...... stratification might help in the identification and characterization of novel risk factors for breast cancer subtypes. This may eventually result in further improvements in prevention, early detection and treatment.......Breast cancers demonstrate substantial biological, clinical and etiological heterogeneity. We investigated breast cancer risk associations of eight susceptibility loci identified in GWAS and two putative susceptibility loci in candidate genes in relation to specific breast tumor subtypes. Subtypes...... were defined by five markers (ER, PR, HER2, CK5/6, EGFR) and other pathological and clinical features. Analyses included up to 30 040 invasive breast cancer cases and 53 692 controls from 31 studies within the Breast Cancer Association Consortium. We confirmed previous reports of stronger associations...

PERMANENT GENETIC RESOURCES: Isolation and characterization of polymorphic microsatellite loci in common evening primrose (Oenothera biennis).

Science.gov (United States)

Larson, E L; Bogdanowicz, S M; Agrawal, A A; Johnson, M T J; Harrison, R G

2008-03-01

We developed nine polymorphic microsatellite loci for evening primrose (Oenothera biennis). These loci have two to 18 alleles per locus and observed heterozygosities ranging from 0 to 0.879 in a sample of 34 individuals. In a pattern consistent with the functionally asexual reproductive system of this species, 17/36 pairs of loci revealed significant linkage disequilibrium and three loci showed significant deviations from Hardy-Weinberg equilibrium. The loci will be informative in identifying genotypes in multigenerational field studies to assess changes in genotype frequencies. © 2007 The Authors.

Large scale association analysis identifies three susceptibility loci for coronary artery disease.

Directory of Open Access Journals (Sweden)

Stephanie Saade

Full Text Available Genome wide association studies (GWAS and their replications that have associated DNA variants with myocardial infarction (MI and/or coronary artery disease (CAD are predominantly based on populations of European or Eastern Asian descent. Replication of the most significantly associated polymorphisms in multiple populations with distinctive genetic backgrounds and lifestyles is crucial to the understanding of the pathophysiology of a multifactorial disease like CAD. We have used our Lebanese cohort to perform a replication study of nine previously identified CAD/MI susceptibility loci (LTA, CDKN2A-CDKN2B, CELSR2-PSRC1-SORT1, CXCL12, MTHFD1L, WDR12, PCSK9, SH2B3, and SLC22A3, and 88 genes in related phenotypes. The study was conducted on 2,002 patients with detailed demographic, clinical characteristics, and cardiac catheterization results. One marker, rs6922269, in MTHFD1L was significantly protective against MI (OR=0.68, p=0.0035, while the variant rs4977574 in CDKN2A-CDKN2B was significantly associated with MI (OR=1.33, p=0.0086. Associations were detected after adjustment for family history of CAD, gender, hypertension, hyperlipidemia, diabetes, and smoking. The parallel study of 88 previously published genes in related phenotypes encompassed 20,225 markers, three quarters of which with imputed genotypes The study was based on our genome-wide genotype data set, with imputation across the whole genome to HapMap II release 22 using HapMap CEU population as a reference. Analysis was conducted on both the genotyped and imputed variants in the 88 regions covering selected genes. This approach replicated HNRNPA3P1-CXCL12 association with CAD and identified new significant associations of CDKAL1, ST6GAL1, and PTPRD with CAD. Our study provides evidence for the importance of the multifactorial aspect of CAD/MI and describes genes predisposing to their etiology.

Multiple loci associated with renal function in African Americans.

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Daniel Shriner

Full Text Available The incidence of chronic kidney disease varies by ethnic group in the USA, with African Americans displaying a two-fold higher rate than European Americans. One of the two defining variables underlying staging of chronic kidney disease is the glomerular filtration rate. Meta-analysis in individuals of European ancestry has identified 23 genetic loci associated with the estimated glomerular filtration rate (eGFR. We conducted a follow-up study of these 23 genetic loci using a population-based sample of 1,018 unrelated admixed African Americans. We included in our follow-up study two variants in APOL1 associated with end-stage kidney disease discovered by admixture mapping in admixed African Americans. To address confounding due to admixture, we estimated local ancestry at each marker and global ancestry. We performed regression analysis stratified by local ancestry and combined the resulting regression estimates across ancestry strata using an inverse variance-weighted fixed effects model. We found that 11 of the 24 loci were significantly associated with eGFR in our sample. The effect size estimates were not significantly different between the subgroups of individuals with two copies of African ancestry vs. two copies of European ancestry for any of the 11 loci. In contrast, allele frequencies were significantly different at 10 of the 11 loci. Collectively, the 11 loci, including four secondary signals revealed by conditional analyses, explained 14.2% of the phenotypic variance in eGFR, in contrast to the 1.4% explained by the 24 loci in individuals of European ancestry. Our findings provide insight into the genetic basis of variation in renal function among admixed African Americans.

Annotation of loci from genome-wide association studies using tissue-specific quantitative interaction proteomics

DEFF Research Database (Denmark)

Lundby, Alicia; Rossin, Elizabeth J.; Steffensen, Annette B.

2014-01-01

Genome-wide association studies (GWAS) have identified thousands of loci associated with complex traits, but it is challenging to pinpoint causal genes in these loci and to exploit subtle association signals. We used tissue-specific quantitative interaction proteomics to map a network of five genes...... involved in the Mendelian disorder long QT syndrome (LOTS). We integrated the LOTS network with GWAS loci from the corresponding common complex trait, QT-interval variation, to identify candidate genes that were subsequently confirmed in Xenopus laevis oocytes and zebrafish. We used the LOTS protein...... network to filter weak GWAS signals by identifying single-nucleotide polymorphisms (SNPs) in proximity to genes in the network supported by strong proteomic evidence. Three SNPs passing this filter reached genome-wide significance after replication genotyping. Overall, we present a general strategy...

Novel microsatellite loci for studies of Thamnophis Gartersnake genetic identity and hybridization

Science.gov (United States)

Sloss, Brian L.; Schuurman, Gregor W.; Paloski, Rori A.; Boyle, Owen D.; Kapfer, Joshua M.

2012-01-01

Butler’s Gartersnakes (BGS; Thamnophis butleri) are confined to open and semi-open canopy wetlands and adjacent uplands, habitats under threat of development in Wisconsin. To address issues of species identity and putative hybridization with congeneric snakes, a suite of 18 microsatellite loci capable of cross-species amplification of Plains Gartersnakes (T. radix) and Common Gartersnakes (T. sirtalis) was developed. All loci were polymorphic in BGS with mean number of alleles per locus of 16.11 (range = 3–41) and mean observed heterozygosity of 0.659 (range = 0.311–0.978). Loci amplified efficiently in the congeneric species with high levels of intra- and inter-specific variation. These loci will aid ongoing efforts to effectively identify and manage BGS in Wisconsin.

A genome-wide association study identifies five loci influencing facial morphology in Europeans.

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Fan Liu

2012-09-01

Full Text Available Inter-individual variation in facial shape is one of the most noticeable phenotypes in humans, and it is clearly under genetic regulation; however, almost nothing is known about the genetic basis of normal human facial morphology. We therefore conducted a genome-wide association study for facial shape phenotypes in multiple discovery and replication cohorts, considering almost ten thousand individuals of European descent from several countries. Phenotyping of facial shape features was based on landmark data obtained from three-dimensional head magnetic resonance images (MRIs and two-dimensional portrait images. We identified five independent genetic loci associated with different facial phenotypes, suggesting the involvement of five candidate genes--PRDM16, PAX3, TP63, C5orf50, and COL17A1--in the determination of the human face. Three of them have been implicated previously in vertebrate craniofacial development and disease, and the remaining two genes potentially represent novel players in the molecular networks governing facial development. Our finding at PAX3 influencing the position of the nasion replicates a recent GWAS of facial features. In addition to the reported GWA findings, we established links between common DNA variants previously associated with NSCL/P at 2p21, 8q24, 13q31, and 17q22 and normal facial-shape variations based on a candidate gene approach. Overall our study implies that DNA variants in genes essential for craniofacial development contribute with relatively small effect size to the spectrum of normal variation in human facial morphology. This observation has important consequences for future studies aiming to identify more genes involved in the human facial morphology, as well as for potential applications of DNA prediction of facial shape such as in future forensic applications.

A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans

Science.gov (United States)

Liu, Fan; van der Lijn, Fedde; Schurmann, Claudia; Zhu, Gu; Chakravarty, M. Mallar; Hysi, Pirro G.; Wollstein, Andreas; Lao, Oscar; de Bruijne, Marleen; Ikram, M. Arfan; van der Lugt, Aad; Rivadeneira, Fernando; Uitterlinden, André G.; Hofman, Albert; Niessen, Wiro J.; Homuth, Georg; de Zubicaray, Greig; McMahon, Katie L.; Thompson, Paul M.; Daboul, Amro; Puls, Ralf; Hegenscheid, Katrin; Bevan, Liisa; Pausova, Zdenka; Medland, Sarah E.; Montgomery, Grant W.; Wright, Margaret J.; Wicking, Carol; Boehringer, Stefan; Spector, Timothy D.; Paus, Tomáš; Martin, Nicholas G.; Biffar, Reiner; Kayser, Manfred

2012-01-01

Inter-individual variation in facial shape is one of the most noticeable phenotypes in humans, and it is clearly under genetic regulation; however, almost nothing is known about the genetic basis of normal human facial morphology. We therefore conducted a genome-wide association study for facial shape phenotypes in multiple discovery and replication cohorts, considering almost ten thousand individuals of European descent from several countries. Phenotyping of facial shape features was based on landmark data obtained from three-dimensional head magnetic resonance images (MRIs) and two-dimensional portrait images. We identified five independent genetic loci associated with different facial phenotypes, suggesting the involvement of five candidate genes—PRDM16, PAX3, TP63, C5orf50, and COL17A1—in the determination of the human face. Three of them have been implicated previously in vertebrate craniofacial development and disease, and the remaining two genes potentially represent novel players in the molecular networks governing facial development. Our finding at PAX3 influencing the position of the nasion replicates a recent GWAS of facial features. In addition to the reported GWA findings, we established links between common DNA variants previously associated with NSCL/P at 2p21, 8q24, 13q31, and 17q22 and normal facial-shape variations based on a candidate gene approach. Overall our study implies that DNA variants in genes essential for craniofacial development contribute with relatively small effect size to the spectrum of normal variation in human facial morphology. This observation has important consequences for future studies aiming to identify more genes involved in the human facial morphology, as well as for potential applications of DNA prediction of facial shape such as in future forensic applications. PMID:23028347

Metabolomic Quantitative Trait Loci (mQTL Mapping Implicates the Ubiquitin Proteasome System in Cardiovascular Disease Pathogenesis.

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William E Kraus

2015-11-01

Full Text Available Levels of certain circulating short-chain dicarboxylacylcarnitine (SCDA, long-chain dicarboxylacylcarnitine (LCDA and medium chain acylcarnitine (MCA metabolites are heritable and predict cardiovascular disease (CVD events. Little is known about the biological pathways that influence levels of most of these metabolites. Here, we analyzed genetics, epigenetics, and transcriptomics with metabolomics in samples from a large CVD cohort to identify novel genetic markers for CVD and to better understand the role of metabolites in CVD pathogenesis. Using genomewide association in the CATHGEN cohort (N = 1490, we observed associations of several metabolites with genetic loci. Our strongest findings were for SCDA metabolite levels with variants in genes that regulate components of endoplasmic reticulum (ER stress (USP3, HERC1, STIM1, SEL1L, FBXO25, SUGT1 These findings were validated in a second cohort of CATHGEN subjects (N = 2022, combined p = 8.4x10-6-2.3x10-10. Importantly, variants in these genes independently predicted CVD events. Association of genomewide methylation profiles with SCDA metabolites identified two ER stress genes as differentially methylated (BRSK2 and HOOK2. Expression quantitative trait loci (eQTL pathway analyses driven by gene variants and SCDA metabolites corroborated perturbations in ER stress and highlighted the ubiquitin proteasome system (UPS arm. Moreover, culture of human kidney cells in the presence of levels of fatty acids found in individuals with cardiometabolic disease, induced accumulation of SCDA metabolites in parallel with increases in the ER stress marker BiP. Thus, our integrative strategy implicates the UPS arm of the ER stress pathway in CVD pathogenesis, and identifies novel genetic loci associated with CVD event risk.

Biological, clinical and population relevance of 95 loci for blood lipids

DEFF Research Database (Denmark)

Teslovich, Tanya M; Musunuru, Kiran; Smith, Albert V

2010-01-01

polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits...... in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken...

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

DEFF Research Database (Denmark)

Speliotes, Elizabeth K; Willer, Cristen J; Berndt, Sonja I

2010-01-01

in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P SH2B1 and BDNF) map near key hypothalamic regulators...

PHOTOGRAPHY AS A MEANS OF DEPICTING GENIUS LOCI?

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Iulia DOROFTEI

2016-10-01

Full Text Available The paper aims to explore the concept of genius loci (spirit of a place starting from Christian Norberg-Schulz’s notable work “Genius Loci: Towards a Phenomenology of Architecture” and to reflect on the possibility of capturing the spirit of a place through photography. The problem arises in the context of a predominantly visual culture, where photography has become an accesible and omnipresent means of experiencing the world and, therefore, considered a convenient tool for gaining (a type of knowledge. A photographic method of exploring the spirirt of the place could serve in understanding local characteristics, in identifying the elements that make a place unique and recognizible. Norberg-Schulz’s position and other views on the concept of genius loci have been analysed. A photo-essay was employed in order to explore the spirit of the old town of Chefchaouen in Morocco and the ambiguity and dual nature of the concept. A critical reflection was conducted with respect to the results.

Characteristics of Japanese inflammatory bowel disease susceptibility loci.

Science.gov (United States)

Arimura, Yoshiaki; Isshiki, Hiroyuki; Onodera, Kei; Nagaishi, Kanna; Yamashita, Kentaro; Sonoda, Tomoko; Matsumoto, Takayuki; Takahashi, Atsushi; Takazoe, Masakazu; Yamazaki, Keiko; Kubo, Michiaki; Fujimiya, Mineko; Imai, Kohzoh; Shinomura, Yasuhisa

2014-08-01

There are substantial differences in inflammatory bowel disease (IBD) genetics depending on the populations examined. We aimed to identify Japanese population-specific or true culprit susceptibility genes through a meta-analysis of past genetic studies of Japanese IBD. For this study, we reviewed 2,703 articles. The review process consisted of three screening stages: we initially searched for relevant studies and then relevant single nucleotide polymorphisms (SNPs). Finally, we adjusted them for the meta-analysis. To maximize our chances of analysis, we introduced proxy SNPs during the first stage. To minimize publication bias, no significant SNPs and solitary SNPs without pairs were combined to be reconsidered during the third stage. Additionally, two SNPs were newly genotyped. Finally, we conducted a meta-analysis of 37 published studies in 50 SNPs located at 22 loci corresponding to the total number of 4,853 Crohn's disease (CD), 5,612 ulcerative colitis (UC) patients, and 14,239 healthy controls. We confirmed that the NKX2-3 polymorphism is associated with common susceptibility to IBD and that HLA-DRB1*0450 alleles increase susceptibility to CD but reduce risk for UC while HLA-DRB1*1502 alleles increase susceptibility to UC but reduce CD risk. Moreover, we found individual disease risk loci: TNFSF15 and TNFα to CD and HLA-B*5201, and NFKBIL1 to UC. The genetic risk of HLA was substantially high (odds ratios ranged from 1.54 to 2.69) while that of common susceptibility loci to IBD was modest (odds ratio ranged from 1.13 to 1.24). Results indicate that Japanese IBD susceptibility loci identified by the meta-analysis are closely associated with the HLA regions.

Annotation of loci from genome-wide association studies using tissue-specific quantitative interaction proteomics

NARCIS (Netherlands)

Lundby, Alicia; Rossin, Elizabeth J.; Steffensen, Annette B.; Acha, Moshe Ray; Newton-Cheh, Christopher; Pfeufer, Arne; Lyneh, Stacey N.; Olesen, Soren-Peter; Brunak, Soren; Ellinor, Patrick T.; Jukema, J. Wouter; Trompet, Stella; Ford, Ian; Macfarlane, Peter W.; Krijthe, Bouwe P.; Hofman, Albert; Uitterlinden, Andre G.; Stricker, Bruno H.; Nathoe, Hendrik M.; Spiering, Wilko; Daly, Mark J.; Asselbergs, Ikea W.; van der Harst, Pim; Milan, David J.; de Bakker, Paul I. W.; Lage, Kasper; Olsen, Jesper V.

Genome-wide association studies (GWAS) have identified thousands of loci associated with complex traits, but it is challenging to pinpoint causal genes in these loci and to exploit subtle association signals. We used tissue-specific quantitative interaction proteomics to map a network of five genes

Confirmation of novel type 1 diabetes risk loci in families

DEFF Research Database (Denmark)

Cooper, J D; Howson, J M M; Smyth, D

2012-01-01

Over 50 regions of the genome have been associated with type 1 diabetes risk, mainly using large case/control collections. In a recent genome-wide association (GWA) study, 18 novel susceptibility loci were identified and replicated, including replication evidence from 2,319 families. Here, we......, the Type 1 Diabetes Genetics Consortium (T1DGC), aimed to exclude the possibility that any of the 18 loci were false-positives due to population stratification by significantly increasing the statistical power of our family study....

BPS Jumping Loci are Automorphic

Science.gov (United States)

Kachru, Shamit; Tripathy, Arnav

2018-06-01

We show that BPS jumping loci-loci in the moduli space of string compactifications where the number of BPS states jumps in an upper semi-continuous manner—naturally appear as Fourier coefficients of (vector space-valued) automorphic forms. For the case of T 2 compactification, the jumping loci are governed by a modular form studied by Hirzebruch and Zagier, while the jumping loci in K3 compactification appear in a story developed by Oda and Kudla-Millson in arithmetic geometry. We also comment on some curious related automorphy in the physics of black hole attractors and flux vacua.

Biological insights from 108 schizophrenia-associated genetic loci

DEFF Research Database (Denmark)

Ripke, Stephan; Neale, Benjamin M.; Corvin, Aiden

2014-01-01

and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain, providing biological plausibility for the findings. Many...

Quantitative trait loci mapping for stomatal traits in interspecific ...

Indian Academy of Sciences (India)

M. Sumathi

2018-02-23

Feb 23, 2018 ... Journal of Genetics, Vol. ... QTL analysis was carried out to identify the chromosomal regions affecting ... Keywords. linkage map; quantitative trait loci; stomata; stress ..... of India for providing financial support for the project.

List of isozyme loci - RGP gmap98 | LSDB Archive [Life Science Database Archive metadata

Lifescience Database Archive (English)

Full Text Available List Contact us RGP gmap98 List of isozyme loci Data detail Data name List of isozyme loci DOI 10.18908/lsdb...he present high-density linkage map, and that were putatively identified as isozyme genes. Data file File name: rgp_gmap98_iso...gmap98/LATEST/rgp_gmap98_isozyme_loci.zip File size: 611 B Simple search URL http://togodb.biosciencedbc.jp/...0001 were considered as functionally identical clones. And we have selected the ones that hit the isozyme ge...his Database Database Description Download License Update History of This Database Site Policy | Contact Us List of isozyme loci - RGP gmap98 | LSDB Archive ...

Novel loci and pathways significantly associated with longevity

DEFF Research Database (Denmark)

Zeng, Yi; Nie, Chao; Min, Junxia

2016-01-01

Only two genome-wide significant loci associated with longevity have been identified so far, probably because of insufficient sample sizes of centenarians, whose genomes may harbor genetic variants associated with health and longevity. Here we report a genome-wide association study (GWAS) of Han ...

Isolation of human simple repeat loci by hybridization selection.

Science.gov (United States)

Armour, J A; Neumann, R; Gobert, S; Jeffreys, A J

1994-04-01

We have isolated short tandem repeat arrays from the human genome, using a rapid method involving filter hybridization to enrich for tri- or tetranucleotide tandem repeats. About 30% of clones from the enriched library cross-hybridize with probes containing trimeric or tetrameric tandem arrays, facilitating the rapid isolation of large numbers of clones. In an initial analysis of 54 clones, 46 different tandem arrays were identified. Analysis of these tandem repeat loci by PCR showed that 24 were polymorphic in length; substantially higher levels of polymorphism were displayed by the tetrameric repeat loci isolated than by the trimeric repeats. Primary mapping of these loci by linkage analysis showed that they derive from 17 chromosomes, including the X chromosome. We anticipate the use of this strategy for the efficient isolation of tandem repeats from other sources of genomic DNA, including DNA from flow-sorted chromosomes, and from other species.

A genome-wide association study identifies protein quantitative trait loci (pQTLs.

Directory of Open Access Journals (Sweden)

David Melzer

2008-05-01

Full Text Available There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts - cis effects, and elsewhere in the genome - trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8x10(-57, CCL4L1 (p = 3.9x10(-21, IL18 (p = 6.8x10(-13, LPA (p = 4.4x10(-10, GGT1 (p = 1.5x10(-7, SHBG (p = 3.1x10(-7, CRP (p = 6.4x10(-6 and IL1RN (p = 7.3x10(-6 genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R, altered secretion rates of different sized proteins (LPA, variation in gene copy number (CCL4L1 and altered transcription (GGT1. We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha levels (p = 6.8x10(-40, but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis

Plant rDNA database: ribosomal DNA loci information goes online

Czech Academy of Sciences Publication Activity Database

Garcia, S.; Garnatje, T.; Kovařík, Aleš

2012-01-01

Roč. 121, č. 4 (2012), s. 389-394 ISSN 0009-5915 R&D Projects: GA ČR(CZ) GAP501/10/0208; GA ČR GBP501/12/G090 Institutional research plan: CEZ:AV0Z50040702 Keywords : rDNA loci * FISH * database Subject RIV: BO - Biophysics Impact factor: 3.340, year: 2012

Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

Science.gov (United States)

Eeles, Rosalind A; Olama, Ali Amin Al; Benlloch, Sara; Saunders, Edward J; Leongamornlert, Daniel A; Tymrakiewicz, Malgorzata; Ghoussaini, Maya; Luccarini, Craig; Dennis, Joe; Jugurnauth-Little, Sarah; Dadaev, Tokhir; Neal, David E; Hamdy, Freddie C; Donovan, Jenny L; Muir, Ken; Giles, Graham G; Severi, Gianluca; Wiklund, Fredrik; Gronberg, Henrik; Haiman, Christopher A; Schumacher, Fredrick; Henderson, Brian; Le Marchand, Loic; Lindstrom, Sara; Kraft, Peter; Hunter, David J; Gapstur, Susan; Chanock, Stephen J; Berndt, Sonja I; Albanes, Demetrius; Andriole, Gerald; Schleutker, Johanna; Weischer, Maren; Canzian, Federico; Riboli, Elio; Key, Tim J; Travis, Ruth; Campa, Daniele; Ingles, Sue A; John, Esther M; Hayes, Richard B; Pharoah, Paul DP; Pashayan, Nora; Khaw, Kay-Tee; Stanford, Janet; Ostrander, Elaine A; Signorello, Lisa B; Thibodeau, Stephen N; Schaid, Dan; Maier, Christiane; Vogel, Walther; Kibel, Adam S; Cybulski, Cezary; Lubinski, Jan; Cannon-Albright; Brenner, Hermann; Park, Jong Y; Kaneva, Radka; Batra, Jyotsna; Spurdle, Amanda B; Clements, Judith A; Teixeira, Manuel R; Dicks, Ed; Lee, Andrew; Dunning, Alison; Baynes, Caroline; Conroy, Don; Maranian, Melanie J; Ahmed, Shahana; Govindasami, Koveela; Guy, Michelle; Wilkinson, Rosemary A; Sawyer, Emma J; Morgan, Angela; Dearnaley, David P; Horwich, Alan; Huddart, Robert A; Khoo, Vincent S; Parker, Christopher C; Van As, Nicholas J; Woodhouse, J; Thompson, Alan; Dudderidge, Tim; Ogden, Chris; Cooper, Colin; Lophatananon, Artitaya; Cox, Angela; Southey, Melissa; Hopper, John L; English, Dallas R; Aly, Markus; Adolfsson, Jan; Xu, Jiangfeng; Zheng, Siqun; Yeager, Meredith; Kaaks, Rudolf; Diver, W Ryan; Gaudet, Mia M; Stern, Mariana; Corral, Roman; Joshi, Amit D; Shahabi, Ahva; Wahlfors, Tiina; Tammela, Teuvo J; Auvinen, Anssi; Virtamo, Jarmo; Klarskov, Peter; Nordestgaard, Børge G; Røder, Andreas; Nielsen, Sune F; Bojesen, Stig E; Siddiq, Afshan; FitzGerald, Liesel; Kolb, Suzanne; Kwon, Erika; Karyadi, Danielle; Blot, William J; Zheng, Wei; Cai, Qiuyin; McDonnell, Shannon K; Rinckleb, Antje; Drake, Bettina; Colditz, Graham; Wokolorczyk, Dominika; Stephenson, Robert A; Teerlink, Craig; Muller, Heiko; Rothenbacher, Dietrich; Sellers, Thomas A; Lin, Hui-Yi; Slavov, Chavdar; Mitev, Vanio; Lose, Felicity; Srinivasan, Srilakshmi; Maia, Sofia; Paulo, Paula; Lange, Ethan; Cooney, Kathleen A; Antoniou, Antonis; Vincent, Daniel; Bacot, François; Tessier; Kote-Jarai, Zsofia; Easton, Douglas F

2013-01-01

Prostate cancer is the most frequently diagnosed cancer in males in developed countries. To identify common prostate cancer susceptibility alleles, we genotyped 211,155 SNPs on a custom Illumina array (iCOGS) in blood DNA from 25,074 prostate cancer cases and 24,272 controls from the international PRACTICAL Consortium. Twenty-three new prostate cancer susceptibility loci were identified at genome-wide significance (P < 5 × 10−8). More than 70 prostate cancer susceptibility loci, explaining ~30% of the familial risk for this disease, have now been identified. On the basis of combined risks conferred by the new and previously known risk loci, the top 1% of the risk distribution has a 4.7-fold higher risk than the average of the population being profiled. These results will facilitate population risk stratification for clinical studies. PMID:23535732

Genome-Wide Association Study Identifies Two Novel Loci with Sex-Specific Effects for Type 2 Diabetes Mellitus and Glycemic Traits in a Korean Population

Directory of Open Access Journals (Sweden)

Min Jin Go

2014-10-01

Full Text Available BackgroundUntil recently, genome-wide association study (GWAS-based findings have provided a substantial genetic contribution to type 2 diabetes mellitus (T2DM or related glycemic traits. However, identification of allelic heterogeneity and population-specific genetic variants under consideration of potential confounding factors will be very valuable for clinical applicability. To identify novel susceptibility loci for T2DM and glycemic traits, we performed a two-stage genetic association study in a Korean population.MethodsWe performed a logistic analysis for T2DM, and the first discovery GWAS was analyzed for 1,042 cases and 2,943 controls recruited from a population-based cohort (KARE, n=8,842. The second stage, de novo replication analysis, was performed in 1,216 cases and 1,352 controls selected from an independent population-based cohort (Health 2, n=8,500. A multiple linear regression analysis for glycemic traits was further performed in a total of 14,232 nondiabetic individuals consisting of 7,696 GWAS and 6,536 replication study participants. A meta-analysis was performed on the combined results using effect size and standard errors estimated for stage 1 and 2, respectively.ResultsA combined meta-analysis for T2DM identified two new (rs11065756 and rs2074356 loci reaching genome-wide significance in CCDC63 and C12orf51 on the 12q24 region. In addition, these variants were significantly associated with fasting plasma glucose and homeostasis model assessment of β-cell function. Interestingly, two independent single nucleotide polymorphisms were associated with sex-specific stratification in this study.ConclusionOur study showed a strong association between T2DM and glycemic traits. We further observed that two novel loci with multiple diverse effects were highly specific to males. Taken together, these findings may provide additional insights into the clinical assessment or subclassification of disease risk in a Korean population.

21 CFR 822.37 - Under what circumstances would you inspect records identifying subjects?

Science.gov (United States)

2010-04-01

... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Under what circumstances would you inspect records identifying subjects? 822.37 Section 822.37 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH... Under what circumstances would you inspect records identifying subjects? We can inspect and copy records...

Efficient Differentiation of Mycobacterium tuberculosis Strains of the W-Beijing Family from Russia using Highly Polymorphic VNTR Loci

International Nuclear Information System (INIS)

Surikova, O. V.; Voitech, D. S.; Kuzmicheva, G.; Tatkov, S. I.; Mokrousov, I. V.; Narvskaya, O. V.; Rot, M. A.; Soolingen, D. van; Filipenko, M. L.

2005-01-01

The W-Beijing family is a widespread Mycobacterium tuberculosis clonal lineage that frequently causes epidemic outbreaks. This family is genetically homogeneous and conserved, so ETR-VNTR (exact tandem repeat-variable number of tandem repeats) typing is insufficient for strain differentiation, due to a common ETR-A to E profile (42435). This leads to the false clustering in molecular epidemiological studies, especially in the regions of predominance of the W-Beijing family. In this study, we searched for VNTR loci with a high evolutionary rate of polymorphism in the W-Beijing genome. Here we further evaluated VNTR typing on a set of 99 Mycobacterium tuberculosis clinical isolates and reference strains. These isolates were characterized and classified into several genotype families based on three ETR loci (A, C, E) and eight additional loci [previously described as QUB (Queen's University Belfast) or MIRU (Mycobacterial Interspersed Repetitive Units) or Mtubs]. Ninety-nine strains were divided into 74 VNTR-types, 51 isolates of the W-Beijing family identified by IS6110 RFLP-typing (the restriction fragment length polymorphism-typing) and/or spoligotyping were subdivided into 30 VNTR-types. HGDI (the Hunter-Gaston discriminatory index) for all studied loci was close to that of IS6110 RFLP typing, a 'gold standard' method for subtyping M. tuberculosis complex strains. The QUB 26 and QUB 18 loci located in the PPE genes were highly polymorphic and more discriminative than other loci (HGDI is 0.8). Statistically significant increase of tandem repeats number in loci ETR-A, -E, QUB 26, QUB 18, QUB 11B, Mtub21 was revealed in the W-Beijing group compared to genetically divergent non-W-Beijing strains. Thirty-six isolates were subjected to IS6110 RFLP typing. The congruence between results of the IS6110 RFLP typing and 11-loci VNTR typing was estimated on 23 isolates of the W-Beijing family. These isolates were subdivided into 9 IS6110-RFLP types and 13 VNTR types. The poor

Genome-wide association study identifies major loci for carcass weight on BTA14 in Hanwoo (Korean cattle.

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Seung Hwan Lee

Full Text Available This genome-wide association study (GWAS was conducted to identify major loci that are significantly associated with carcass weight, and their effects, in order to provide increased understanding of the genetic architecture of carcass weight in Hanwoo. This genome-wide association study identified one major chromosome region ranging from 23 Mb to 25 Mb on chromosome 14 as being associated with carcass weight in Hanwoo. Significant Bonferroni-corrected genome-wide associations (P<1.52×10(-6 were detected for 6 Single Nucleotide Polymorphic (SNP loci for carcass weight on chromosome 14. The most significant SNP was BTB-01280026 (P = 4.02×10(-11, located in the 25 Mb region on Bos taurus autosome 14 (BTA14. The other 5 significant SNPs were Hapmap27934-BTC-065223 (P = 4.04×10(-11 in 25.2 Mb, BTB-01143580 (P = 6.35×10(-11 in 24.3 Mb, Hapmap30932-BTC-011225 (P = 5.92×10(-10 in 24.8 Mb, Hapmap27112-BTC-063342 (P = 5.18×10(-9 in 25.4 Mb, and Hapmap24414-BTC-073009 (P = 7.38×10(-8 in 25.4 Mb, all on BTA 14. One SNP (BTB-01143580; P = 6.35×10(-11 lies independently from the other 5 SNPs. The 5 SNPs that lie together showed a large Linkage disequilibrium (LD block (block size of 553 kb with LD coefficients ranging from 0.53 to 0.89 within the block. The most significant SNPs accounted for 6.73% to 10.55% of additive genetic variance, which is quite a large proportion of the total additive genetic variance. The most significant SNP (BTB-01280026; P = 4.02×10(-11 had 16.96 kg of allele substitution effect, and the second most significant SNP (Hapmap27934-BTC-065223; P = 4.04×10(-11 had 18.06 kg of effect on carcass weight, which correspond to 44% and 47%, respectively, of the phenotypic standard deviation for carcass weight in Hanwoo cattle. Our results demonstrated that carcass weight was affected by a major Quantitative Trait Locus (QTL with a large effect and by many SNPs with small effects that are normally

Genome-wide association and linkage identify modifier loci of lung disease severity in cystic fibrosis at 11p13 and 20q13.2

Science.gov (United States)

Wright, Fred A.; Strug, Lisa J.; Doshi, Vishal K.; Commander, Clayton W.; Blackman, Scott M.; Sun, Lei; Berthiaume, Yves; Cutler, David; Cojocaru, Andreea; Collaco, J. Michael; Corey, Mary; Dorfman, Ruslan; Goddard, Katrina; Green, Deanna; Kent, Jack W.; Lange, Ethan M.; Lee, Seunggeun; Li, Weili; Luo, Jingchun; Mayhew, Gregory M.; Naughton, Kathleen M.; Pace, Rhonda G.; Paré, Peter; Rommens, Johanna M.; Sandford, Andrew; Stonebraker, Jaclyn R.; Sun, Wei; Taylor, Chelsea; Vanscoy, Lori L.; Zou, Fei; Blangero, John; Zielenski, Julian; O’Neal, Wanda K.; Drumm, Mitchell L.; Durie, Peter R.; Knowles, Michael R.; Cutting, Garry R.

2012-01-01

A combined genome-wide association and linkage study was used to identify loci causing variation in CF lung disease severity. A significant association (P=3. 34 × 10-8) near EHF and APIP (chr11p13) was identified in F508del homozygotes (n=1,978). The association replicated in F508del homozygotes (P=0.006) from a separate family-based study (n=557), with P=1.49 × 10-9 for the three-study joint meta-analysis. Linkage analysis of 486 sibling pairs from the family-based study identified a significant QTL on chromosome 20q13.2 (LOD=5.03). Our findings provide insight into the causes of variation in lung disease severity in CF and suggest new therapeutic targets for this life-limiting disorder. PMID:21602797

A genome-wide association study of Hodgkin's lymphoma identifies new susceptibility loci at 2p16.1 (REL), 8q24.21 and 10p14 (GATA3)

DEFF Research Database (Denmark)

Enciso-Mora, Victor; Broderick, Peter; Ma, Yussanne

2010-01-01

To identify susceptibility loci for classical Hodgkin's lymphoma (cHL), we conducted a genome-wide association study of 589 individuals with cHL (cases) and 5,199 controls with validation in four independent samples totaling 2,057 cases and 3,416 controls. We identified three new susceptibility...... etiology by revealing a strong human leukocyte antigen (HLA) association (rs6903608, OR = 1.70, combined P = 2.84 × 10 -50). These data provide new insight into the pathogenesis of cHL....

Genome-wide Association Study to Identify Quantitative Trait Loci for Meat and Carcass Quality Traits in Berkshire

Science.gov (United States)

Iqbal, Asif; Kim, You-Sam; Kang, Jun-Mo; Lee, Yun-Mi; Rai, Rajani; Jung, Jong-Hyun; Oh, Dong-Yup; Nam, Ki-Chang; Lee, Hak-Kyo; Kim, Jong-Joo

2015-01-01

Meat and carcass quality attributes are of crucial importance influencing consumer preference and profitability in the pork industry. A set of 400 Berkshire pigs were collected from Dasan breeding farm, Namwon, Chonbuk province, Korea that were born between 2012 and 2013. To perform genome wide association studies (GWAS), eleven meat and carcass quality traits were considered, including carcass weight, backfat thickness, pH value after 24 hours (pH24), Commission Internationale de l’Eclairage lightness in meat color (CIE L), redness in meat color (CIE a), yellowness in meat color (CIE b), filtering, drip loss, heat loss, shear force and marbling score. All of the 400 animals were genotyped with the Porcine 62K SNP BeadChips (Illumina Inc., USA). A SAS general linear model procedure (SAS version 9.2) was used to pre-adjust the animal phenotypes before GWAS with sire and sex effects as fixed effects and slaughter age as a covariate. After fitting the fixed and covariate factors in the model, the residuals of the phenotype regressed on additive effects of each single nucleotide polymorphism (SNP) under a linear regression model (PLINK version 1.07). The significant SNPs after permutation testing at a chromosome-wise level were subjected to stepwise regression analysis to determine the best set of SNP markers. A total of 55 significant (p<0.05) SNPs or quantitative trait loci (QTL) were detected on various chromosomes. The QTLs explained from 5.06% to 8.28% of the total phenotypic variation of the traits. Some QTLs with pleiotropic effect were also identified. A pair of significant QTL for pH24 was also found to affect both CIE L and drip loss percentage. The significant QTL after characterization of the functional candidate genes on the QTL or around the QTL region may be effectively and efficiently used in marker assisted selection to achieve enhanced genetic improvement of the trait considered. PMID:26580276

Genome-wide Association Study to Identify Quantitative Trait Loci for Meat and Carcass Quality Traits in Berkshire

Directory of Open Access Journals (Sweden)

Asif Iqbal

2015-11-01

Full Text Available Meat and carcass quality attributes are of crucial importance influencing consumer preference and profitability in the pork industry. A set of 400 Berkshire pigs were collected from Dasan breeding farm, Namwon, Chonbuk province, Korea that were born between 2012 and 2013. To perform genome wide association studies (GWAS, eleven meat and carcass quality traits were considered, including carcass weight, backfat thickness, pH value after 24 hours (pH24, Commission Internationale de l’Eclairage lightness in meat color (CIE L, redness in meat color (CIE a, yellowness in meat color (CIE b, filtering, drip loss, heat loss, shear force and marbling score. All of the 400 animals were genotyped with the Porcine 62K SNP BeadChips (Illumina Inc., USA. A SAS general linear model procedure (SAS version 9.2 was used to pre-adjust the animal phenotypes before GWAS with sire and sex effects as fixed effects and slaughter age as a covariate. After fitting the fixed and covariate factors in the model, the residuals of the phenotype regressed on additive effects of each single nucleotide polymorphism (SNP under a linear regression model (PLINK version 1.07. The significant SNPs after permutation testing at a chromosome-wise level were subjected to stepwise regression analysis to determine the best set of SNP markers. A total of 55 significant (p<0.05 SNPs or quantitative trait loci (QTL were detected on various chromosomes. The QTLs explained from 5.06% to 8.28% of the total phenotypic variation of the traits. Some QTLs with pleiotropic effect were also identified. A pair of significant QTL for pH24 was also found to affect both CIE L and drip loss percentage. The significant QTL after characterization of the functional candidate genes on the QTL or around the QTL region may be effectively and efficiently used in marker assisted selection to achieve enhanced genetic improvement of the trait considered.

Estimation of loci involved in non-shattering of seeds in early rice domestication.

Science.gov (United States)

Ishikawa, Ryo; Nishimura, Akinori; Htun, Than Myint; Nishioka, Ryo; Oka, Yumi; Tsujimura, Yuki; Inoue, Chizuru; Ishii, Takashige

2017-04-01

Rice (Oryza sativa L.) is widely cultivated around the world and is known to be domesticated from its wild form, O. rufipogon. A loss of seed shattering is one of the most obvious phenotypic changes selected for during rice domestication. Previously, three seed-shattering loci, qSH1, sh4, and qSH3 were reported to be involved in non-shattering of seeds of Japonica-type cultivated rice, O. sativa cv. Nipponbare. In this study, we focused on non-shattering characteristics of O. sativa Indica cv. IR36 having functional allele at qSH1. We produced backcross recombinant inbred lines having chromosomal segments from IR36 in the genetic background of wild rice, O. rufipogon W630. Histological and quantitative trait loci analyses of abscission layer formation were conducted. In the analysis of quantitative trait loci, a strong peak was observed close to sh4. We, nevertheless, found that some lines showed complete abscission layer formation despite carrying the IR36 allele at sh4, implying that non-shattering of seeds of IR36 could be regulated by the combination of mutations at sh4 and other seed-shattering loci. We also genotyped qSH3, a recently identified seed-shattering locus. Lines that have the IR36 alleles at sh4 and qSH3 showed inhibition of abscission layer formation but the degree of seed shattering was different from that of IR36. On the basis of these results, we estimated that non-shattering of seeds in early rice domestication involved mutations in at least three loci, and these genetic materials produced in this study may help to identify novel seed-shattering loci.

Identification of novel genetic loci for osteoporosis and/or rheumatoid arthritis using cFDR approach.

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Rou Zhou

Full Text Available There are co-morbidity between osteoporosis (OP and rheumatoid arthritis (RA. Some genetic risk factors have been identified for these two phenotypes respectively in previous research; however, they accounted for only a small portion of the underlying total genetic variances. Here, we sought to identify additional common genetic loci associated with OP and/or RA. The conditional false discovery rate (cFDR approach allows detection of additional genetic factors (those respective ones as well as common pleiotropic ones for the two associated phenotypes. We collected and analyzed summary statistics provided by large, multi-center GWAS studies of FNK (femoral neck BMD (a major risk factor for osteoporosis (n = 53,236 and RA (n = 80,799. The conditional quantile-quantile (Q-Q plots can assess the enrichment of SNPs related to FNK BMD and RA, respectively. Furthermore, we identified shared loci between FNK BMD and RA using conjunction cFDR (ccFDR. We found strong enrichment of p-values in FNK BMD when conditional Q-Q was done on RA and vice versa. We identified 30 novel OP-RA associated pleiotropic loci that have not been reported in previous OP or RA GWAS, 18 of which located in the MHC (major histocompatibility complex region previously reported to play an important role in immune system and bone health. We identified some specific novel polygenic factors for OP and RA respectively, and identified 30 novel OP-RA associated pleiotropic loci. These discovery findings may offer novel pathobiological insights, and suggest new targets and pathways for drug development in OP and RA patients.

Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

NARCIS (Netherlands)

K. Gaulton (Kyle); T. Ferreira (Teresa); Y. Lee (Yeji); A. Raimondo (Anne); R. Mägi (Reedik); M.E. Reschen (Michael E.); A. Mahajan (Anubha); A. Locke (Adam); N.W. Rayner (Nigel William); N.R. Robertson (Neil); R.A. Scott (Robert); I. Prokopenko (Inga); L.J. Scott (Laura); T. Green (Todd); T. Sparsø (Thomas); D. Thuillier (Dorothee); L. Yengo (Loic); H. Grallert (Harald); S. Wahl (Simone); M. Frånberg (Mattias); R.J. Strawbridge (Rona); H. Kestler (Hans); H. Chheda (Himanshu); L. Eisele (Lewin); S. Gustafsson (Stefan); V. Steinthorsdottir (Valgerdur); G. Thorleifsson (Gudmar); L. Qi (Lu); L.C. Karssen (Lennart); E.M. van Leeuwen (Elisa); S.M. Willems (Sara); M. Li (Man); H. Chen (Han); C. Fuchsberger (Christian); P. Kwan (Phoenix); C. Ma (Clement); M. Linderman (Michael); Y. Lu (Yingchang); S.K. Thomsen (Soren K.); J.K. Rundle (Jana K.); N.L. Beer (Nicola L.); M. van de Bunt (Martijn); A. Chalisey (Anil); H.M. Kang (Hyun Min); B.F. Voight (Benjamin); G.R. Abecasis (Gonçalo); P. Almgren (Peter); D. Baldassarre (Damiano); B. Balkau (Beverley); R. Benediktsson (Rafn); M. Blüher (Matthias); H. Boeing (Heiner); L.L. Bonnycastle (Lori); E.P. Bottinger (Erwin P.); N.P. Burtt (Noël); J. Carey (Jason); G. Charpentier (Guillaume); P.S. Chines (Peter); M. Cornelis (Marilyn); D.J. Couper (David J.); A. Crenshaw (Andrew); R.M. van Dam (Rob); A.S.F. Doney (Alex); M. Dorkhan (Mozhgan); T. Edkins (Ted); J.G. Eriksson (Johan G.); T. Esko (Tõnu); E. Eury (Elodie); J. Fadista (João); J. Flannick (Jason); P. Fontanillas (Pierre); C.S. Fox (Caroline); P.W. Franks (Paul W.); K. Gertow (Karl); C. Gieger (Christian); B. Gigante (Bruna); R.F. Gottesman (Rebecca); G.B. Grant (George); N. Grarup (Niels); C.J. Groves (Christopher J.); M. Hassinen (Maija); C.T. Have (Christian T.); C. Herder (Christian); O.L. Holmen (Oddgeir); A.B. Hreidarsson (Astradur); S.E. Humphries (Steve E.); D.J. Hunter (David J.); A.U. Jackson (Anne); A. Jonsson (Anna); M.E. Jørgensen (Marit E.); T. Jørgensen (Torben); W.H.L. Kao (Wen); N.D. Kerrison (Nicola D.); L. Kinnunen (Leena); N. Klopp (Norman); A. Kong (Augustine); P. Kovacs (Peter); P. Kraft (Peter); J. Kravic (Jasmina); C. Langford (Cordelia); K. Leander (Karin); L. Liang (Liming); P. Lichtner (Peter); C.M. Lindgren (Cecilia M.); B. Lindholm (Bengt); A. Linneberg (Allan); C.-T. Liu (Ching-Ti); S. Lobbens (Stéphane); J. Luan (Jian'fan); V. Lyssenko (Valeriya); S. Männistö (Satu); O. McLeod (Olga); J. Meyer (Jobst); E. Mihailov (Evelin); G. Mirza (Ghazala); T.W. Mühleisen (Thomas); M. Müller-Nurasyid (Martina); C. Navarro (Carmen); M.M. Nöthen (Markus); N.N. Oskolkov (Nikolay N.); K.R. Owen (Katharine); D. Palli (Domenico); S. Pechlivanis (Sonali); L. Peltonen (Leena Johanna); J.R.B. Perry (John); C.P. Platou (Carl); M. Roden (Michael); D. Ruderfer (Douglas); D. Rybin (Denis); Y.T. Van Der Schouw (Yvonne T.); B. Sennblad (Bengt); G. Sigurosson (Gunnar); A. Stancáková (Alena); D. Steinbach; P. Storm (Petter); K. Strauch (Konstantin); H.M. Stringham (Heather); Q. Sun; B. Thorand (Barbara); E. Tikkanen (Emmi); A. Tönjes (Anke); J. Trakalo (Joseph); E. Tremoli (Elena); T. Tuomi (Tiinamaija); R. Wennauer (Roman); S. Wiltshire (Steven); A.R. Wood (Andrew); E. Zeggini (Eleftheria); I. Dunham (Ian); E. Birney (Ewan); L. Pasquali (Lorenzo); J. Ferrer (Jorge); R.J.F. Loos (Ruth); J. Dupuis (Josée); J.C. Florez (Jose); E.A. Boerwinkle (Eric); J.S. Pankow (James); C.M. van Duijn (Cornelia); E.J.G. Sijbrands (Eric); J.B. Meigs (James B.); F.B. Hu (Frank B.); U. Thorsteinsdottir (Unnur); J-A. Zwart (John-Anker); T.A. Lakka (Timo); R. Rauramaa (Rainer); M. Stumvoll (Michael); N.L. Pedersen (Nancy L.); L. Lind (Lars); S. Keinanen-Kiukaanniemi (Sirkka); E. Korpi-Hyövälti (Eeva); T. Saaristo (Timo); J. Saltevo (Juha); J. Kuusisto (Johanna); M. Laakso (Markku); A. Metspalu (Andres); R. Erbel (Raimund); K.-H. Jöckel (Karl-Heinz); S. Moebus (Susanne); S. Ripatti (Samuli); V. Salomaa (Veikko); E. Ingelsson (Erik); B.O. Boehm (Bernhard); R.N. Bergman (Richard N.); F.S. Collins (Francis S.); K.L. Mohlke (Karen L.); H. Koistinen (Heikki); J. Tuomilehto (Jaakko); K. Hveem (Kristian); I. Njølstad (Inger); P. Deloukas (Panagiotis); P.J. Donnelly (Peter J.); T.M. Frayling (Timothy); A.T. Hattersley (Andrew); U. de Faire (Ulf); A. Hamsten (Anders); T. Illig (Thomas); A. Peters (Annette); S. Cauchi (Stephane); R. Sladek (Rob); P. Froguel (Philippe); T. Hansen (Torben); O. Pedersen (Oluf); A.D. Morris (Andrew); C.N.A. Palmer (Collin N. A.); S. Kathiresan (Sekar); O. Melander (Olle); P.M. Nilsson (Peter M.); L. Groop (Leif); I.E. Barroso (Inês); C. Langenberg (Claudia); N.J. Wareham (Nicholas J.); C.A. O'Callaghan (Christopher A.); A.L. Gloyn (Anna); D. Altshuler (David); M. Boehnke (Michael); T.M. Teslovich (Tanya M.); M.I. McCarthy (Mark); A.P. Morris (Andrew)

2015-01-01

textabstractWe performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each

Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

NARCIS (Netherlands)

Gaulton, Kyle J; Ferreira, Teresa; Lee, Yeji; Raimondo, Anne; Mägi, Reedik; Reschen, Michael E; Mahajan, Anubha; Locke, Adam; William Rayner, N; Robertson, Neil; Scott, Robert A; Prokopenko, Inga; Scott, Laura J; Green, Todd; Sparso, Thomas; Thuillier, Dorothee; Yengo, Loic; Grallert, Harald; Wahl, Simone; Frånberg, Mattias; Strawbridge, Rona J; Kestler, Hans; Chheda, Himanshu; Eisele, Lewin; Gustafsson, Stefan; Steinthorsdottir, Valgerdur; Thorleifsson, Gudmar; Qi, Lu; Karssen, Lennart C; van Leeuwen, Elisabeth M; Willems, Sara M; Li, Man; Chen, Han; Fuchsberger, Christian; Kwan, Phoenix; Ma, Clement; Linderman, Michael; Lu, Yingchang; Thomsen, Soren K; Rundle, Jana K; Beer, Nicola L; van de Bunt, Martijn; Chalisey, Anil; Kang, Hyun Min; Voight, Benjamin F; Abecasis, Gonçalo R; Almgren, Peter; Baldassarre, Damiano; Balkau, Beverley; Benediktsson, Rafn; Blüher, Matthias; Boeing, Heiner; Bonnycastle, Lori L; Bottinger, Erwin P; Burtt, Noël P; Carey, Jason; Charpentier, Guillaume; Chines, Peter S; Cornelis, Marilyn C; Couper, David J; Crenshaw, Andrew T; van Dam, Rob M; Doney, Alex S F; Dorkhan, Mozhgan; Edkins, Sarah; Eriksson, Johan G; Esko, Tonu; Eury, Elodie; Fadista, João; Flannick, Jason; Fontanillas, Pierre; Fox, Caroline; Franks, Paul W; Gertow, Karl; Gieger, Christian; Gigante, Bruna; Gottesman, Omri; Grant, George B; Grarup, Niels; Groves, Christopher J; Hassinen, Maija; Have, Christian T; Herder, Christian; Holmen, Oddgeir L; Hreidarsson, Astradur B; Humphries, Steve E; Hunter, David J; Jackson, Anne U; Jonsson, Anna; Jørgensen, Marit E; Jørgensen, Torben; Kao, Wen-Hong L; Kerrison, Nicola D; Kinnunen, Leena; Klopp, Norman; Kong, Augustine; Kovacs, Peter; Kraft, Peter; Kravic, Jasmina; Langford, Cordelia; Leander, Karin; Liang, Liming; Lichtner, Peter; Lindgren, Cecilia M; Lindholm, Eero; Linneberg, Allan; Liu, Ching-Ti; Lobbens, Stéphane; Luan, Jian'an; Lyssenko, Valeriya; Männistö, Satu; McLeod, Olga; Meyer, Julia; Mihailov, Evelin; Mirza, Ghazala; Mühleisen, Thomas W; Müller-Nurasyid, Martina; Navarro, Carmen; Nöthen, Markus M; Oskolkov, Nikolay N; Owen, Katharine R; Palli, Domenico; Pechlivanis, Sonali; Peltonen, Leena; Perry, John R B; Platou, Carl G P; Roden, Michael; Ruderfer, Douglas; Rybin, Denis; van der Schouw, Yvonne T; Sennblad, Bengt; Sigurðsson, Gunnar; Stančáková, Alena; Steinbach, Gerald; Storm, Petter; Strauch, Konstantin; Stringham, Heather M; Sun, Qi; Thorand, Barbara; Tikkanen, Emmi; Tonjes, Anke; Trakalo, Joseph; Tremoli, Elena; Tuomi, Tiinamaija; Wennauer, Roman; Wiltshire, Steven; Wood, Andrew R; Zeggini, Eleftheria; Dunham, Ian; Birney, Ewan; Pasquali, Lorenzo; Ferrer, Jorge; Loos, Ruth J F; Dupuis, Josée; Florez, Jose C; Boerwinkle, Eric; Pankow, James S; van Duijn, Cornelia; Sijbrands, Eric; Meigs, James B; Hu, Frank B; Thorsteinsdottir, Unnur; Stefansson, Kari; Lakka, Timo A; Rauramaa, Rainer; Stumvoll, Michael; Pedersen, Nancy L; Lind, Lars; Keinanen-Kiukaanniemi, Sirkka M; Korpi-Hyövälti, Eeva; Saaristo, Timo E; Saltevo, Juha; Kuusisto, Johanna; Laakso, Markku; Metspalu, Andres; Erbel, Raimund; Jöcke, Karl-Heinz; Moebus, Susanne; Ripatti, Samuli; Salomaa, Veikko; Ingelsson, Erik; Boehm, Bernhard O; Bergman, Richard N; Collins, Francis S; Mohlke, Karen L; Koistinen, Heikki; Tuomilehto, Jaakko; Hveem, Kristian; Njølstad, Inger; Deloukas, Panagiotis; Donnelly, Peter J; Frayling, Timothy M; Hattersley, Andrew T; de Faire, Ulf; Hamsten, Anders; Illig, Thomas; Peters, Annette; Cauchi, Stephane; Sladek, Rob; Froguel, Philippe; Hansen, Torben; Pedersen, Oluf; Morris, Andrew D; Palmer, Collin N A; Kathiresan, Sekar; Melander, Olle; Nilsson, Peter M; Groop, Leif C; Barroso, Inês; Langenberg, Claudia; Wareham, Nicholas J; O'Callaghan, Christopher A; Gloyn, Anna L; Altshuler, David; Boehnke, Michael; Teslovich, Tanya M; McCarthy, Mark I; Morris, Andrew P

2015-01-01

We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct

A Genome-Wide Association Study Identifies Risk Loci to Equine Recurrent Uveitis in German Warmblood Horses

Science.gov (United States)

Kulbrock, Maike; Lehner, Stefanie; Metzger, Julia; Ohnesorge, Bernhard; Distl, Ottmar

2013-01-01

Equine recurrent uveitis (ERU) is a common eye disease affecting up to 3–15% of the horse population. A genome-wide association study (GWAS) using the Illumina equine SNP50 bead chip was performed to identify loci conferring risk to ERU. The sample included a total of 144 German warmblood horses. A GWAS showed a significant single nucleotide polymorphism (SNP) on horse chromosome (ECA) 20 at 49.3 Mb, with IL-17A and IL-17F being the closest genes. This locus explained a fraction of 23% of the phenotypic variance for ERU. A GWAS taking into account the severity of ERU, revealed a SNP on ECA18 nearby to the crystalline gene cluster CRYGA-CRYGF. For both genomic regions on ECA18 and 20, significantly associated haplotypes containing the genome-wide significant SNPs could be demonstrated. In conclusion, our results are indicative for a genetic component regulating the possible critical role of IL-17A and IL-17F in the pathogenesis of ERU. The associated SNP on ECA18 may be indicative for cataract formation in the course of ERU. PMID:23977091

Comparative mapping reveals quantitative trait loci that affect spawning time in coho salmon (Oncorhynchus kisutch

Directory of Open Access Journals (Sweden)

Cristian Araneda

2012-01-01

Full Text Available Spawning time in salmonids is a sex-limited quantitative trait that can be modified by selection. In rainbow trout (Oncorhynchus mykiss, various quantitative trait loci (QTL that affect the expression of this trait have been discovered. In this study, we describe four microsatellite loci associated with two possible spawning time QTL regions in coho salmon (Oncorhynchus kisutch. The four loci were identified in females from two populations (early and late spawners produced by divergent selection from the same base population. Three of the loci (OmyFGT34TUF, One2ASC and One19ASC that were strongly associated with spawning time in coho salmon (p < 0.0002 were previously associated with QTL for the same trait in rainbow trout; a fourth loci (Oki10 with a suggestive association (p = 0.00035 mapped 10 cM from locus OmyFGT34TUF in rainbow trout. The changes in allelic frequency observed after three generations of selection were greater than expected because of genetic drift. This work shows that comparing information from closely-related species is a valid strategy for identifying QTLs for marker-assisted selection in species whose genomes are poorly characterized or lack a saturated genetic map.

Fine-mapping inflammatory bowel disease loci to single-variant resolution

NARCIS (Netherlands)

Huang, Hailiang; Fang, Ming; Jostins, Luke; Umićević Mirkov, Maša; Boucher, Gabrielle; Anderson, Carl A; Andersen, Vibeke; Cleynen, Isabelle; Cortes, Adrian; Crins, François; D'Amato, Mauro; Deffontaine, Valérie; Dmitrieva, Julia; Docampo, Elisa; Elansary, Mahmoud; Farh, Kyle Kai-How; Franke, Andre; Gori, Ann-Stephan; Goyette, Philippe; Halfvarson, Jonas; Haritunians, Talin; Knight, Jo; Lawrance, Ian C; Lees, Charlie W; Louis, Edouard; Mariman, Rob; Meuwissen, Theo; Mni, Myriam; Momozawa, Yukihide; Parkes, Miles; Spain, Sarah L; Théâtre, Emilie; Trynka, Gosia; Satsangi, Jack; van Sommeren, Suzanne; Vermeire, Severine; Xavier, Ramnik J; Weersma, Rinse K; Duerr, Richard H; Mathew, Christopher G; Rioux, John D; McGovern, Dermot P B; Cho, Judy H; Georges, Michel; Daly, Mark J; Barrett, Jeffrey C

2017-01-01

Inflammatory bowel diseases are chronic gastrointestinal inflammatory disorders that affect millions of people worldwide. Genome-wide association studies have identified 200 inflammatory bowel disease-associated loci, but few have been conclusively resolved to specific functional variants. Here we

Fine-mapping inflammatory bowel disease loci to single-variant resolution

DEFF Research Database (Denmark)

Huang, Hailiang; Fang, Ming; Jostins, Luke

2017-01-01

Inflammatory bowel diseases are chronic gastrointestinal inflammatory disorders that affect millions of people worldwide. Genome-wide association studies have identified 200 inflammatory bowel disease-associated loci, but few have been conclusively resolved to specific functional variants. Here w...

Novel Genetic Variants of Sporadic Atrial Septal Defect (ASD) in a Chinese Population Identified by Whole-Exome Sequencing (WES).

Science.gov (United States)

Liu, Yong; Cao, Yu; Li, Yaxiong; Lei, Dongyun; Li, Lin; Hou, Zong Liu; Han, Shen; Meng, Mingyao; Shi, Jianlin; Zhang, Yayong; Wang, Yi; Niu, Zhaoyi; Xie, Yanhua; Xiao, Benshan; Wang, Yuanfei; Li, Xiao; Yang, Lirong; Wang, Wenju; Jiang, Lihong

2018-03-05

BACKGROUND Recently, mutations in several genes have been described to be associated with sporadic ASD, but some genetic variants remain to be identified. The aim of this study was to use whole-exome sequencing (WES) combined with bioinformatics analysis to identify novel genetic variants in cases of sporadic congenital ASD, followed by validation by Sanger sequencing. MATERIAL AND METHODS Five Han patients with secundum ASD were recruited, and their tissue samples were analyzed by WES, followed by verification by Sanger sequencing of tissue and blood samples. Further evaluation using blood samples included 452 additional patients with sporadic secundum ASD (212 male and 240 female patients) and 519 healthy subjects (252 male and 267 female subjects) for further verification by a multiplexed MassARRAY system. Bioinformatic analyses were performed to identify novel genetic variants associated with sporadic ASD. RESULTS From five patients with sporadic ASD, a total of 181,762 genomic variants in 33 exon loci, validated by Sanger sequencing, were selected and underwent MassARRAY analysis in 452 patients with ASD and 519 healthy subjects. Three loci with high mutation frequencies, the 138665410 FOXL2 gene variant, the 23862952 MYH6 gene variant, and the 71098693 HYDIN gene variant were found to be significantly associated with sporadic ASD (PASD (PASD, and supported the use of WES and bioinformatics analysis to identify disease-associated mutations.

Genome-wide mapping in a house mouse hybrid zone reveals hybrid sterility loci and Dobzhansky-Muller interactions.

Science.gov (United States)

Turner, Leslie M; Harr, Bettina

2014-12-09

Mapping hybrid defects in contact zones between incipient species can identify genomic regions contributing to reproductive isolation and reveal genetic mechanisms of speciation. The house mouse features a rare combination of sophisticated genetic tools and natural hybrid zones between subspecies. Male hybrids often show reduced fertility, a common reproductive barrier between incipient species. Laboratory crosses have identified sterility loci, but each encompasses hundreds of genes. We map genetic determinants of testis weight and testis gene expression using offspring of mice captured in a hybrid zone between M. musculus musculus and M. m. domesticus. Many generations of admixture enables high-resolution mapping of loci contributing to these sterility-related phenotypes. We identify complex interactions among sterility loci, suggesting multiple, non-independent genetic incompatibilities contribute to barriers to gene flow in the hybrid zone.

Comparative Mapping of Seed Dormancy Loci Between Tropical and Temperate Ecotypes of Weedy Rice (Oryza sativa L.

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Lihua Zhang

2017-08-01

Full Text Available Genotypic variation at multiple loci for seed dormancy (SD contributes to plant adaptation to diverse ecosystems. Weedy rice (Oryza sativa was used as a model to address the similarity of SD genes between distinct ecotypes. A total of 12 quantitative trait loci (QTL for SD were identified in one primary and two advanced backcross (BC populations derived from a temperate ecotype of weedy rice (34.3°N Lat.. Nine (75% of the 12 loci were mapped to the same positions as those identified from a tropical ecotype of weedy rice (7.1°N Lat.. The high similarity suggested that the majority of SD genes were conserved during the ecotype differentiation. These common loci are largely those collocated/linked with the awn, hull color, pericarp color, or plant height loci. Phenotypic correlations observed in the populations support the notion that indirect selections for the wild-type morphological characteristics, together with direct selections for germination time, were major factors influencing allelic distributions of SD genes across ecotypes. Indirect selections for crop-mimic traits (e.g., plant height and flowering time could also alter allelic frequencies for some SD genes in agroecosystems. In addition, 3 of the 12 loci were collocated with segregation distortion loci, indicating that some gametophyte development genes could also influence the genetic equilibria of SD loci in hybrid populations. The SD genes with a major effect on germination across ecotypes could be used as silencing targets to develop transgene mitigation (TM strategies to reduce the risk of gene flow from genetically modified crops into weed/wild relatives.

Novel genetic loci associated with hippocampal volume

OpenAIRE

Hibar, Derrek P.; Adams, Hieab H. H.; Jahanshad, Neda; Chauhan, Ganesh; Stein, Jason L.; Hofer, Edith; Renteria, Miguel E.; Bis, Joshua C.; Arias-Vasquez, Alejandro; Ikram, M. Kamran; Desrivieres, Sylvane; Vernooij, Meike W.; Abramovic, Lucija; Alhusaini, Saud; Amin, Najaf

2017-01-01

International audience; The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal ...

Two New Loci for Body-Weight Regulation Identified in a Joint Analysis of Genome-Wide Association Studies for Early-Onset Extreme Obesity in French and German Study Groups

Science.gov (United States)

Scherag, André; Dina, Christian; Hinney, Anke; Vatin, Vincent; Scherag, Susann; Vogel, Carla I. G.; Müller, Timo D.; Grallert, Harald; Wichmann, H.-Erich; Balkau, Beverley; Heude, Barbara; Jarvelin, Marjo-Riitta; Hartikainen, Anna-Liisa; Levy-Marchal, Claire; Weill, Jacques; Delplanque, Jérôme; Körner, Antje; Kiess, Wieland; Kovacs, Peter; Rayner, Nigel W.; Prokopenko, Inga; McCarthy, Mark I.; Schäfer, Helmut; Jarick, Ivonne; Boeing, Heiner; Fisher, Eva; Reinehr, Thomas; Heinrich, Joachim; Rzehak, Peter; Berdel, Dietrich; Borte, Michael; Biebermann, Heike; Krude, Heiko; Rosskopf, Dieter; Rimmbach, Christian; Rief, Winfried; Fromme, Tobias; Klingenspor, Martin; Schürmann, Annette; Schulz, Nadja; Nöthen, Markus M.; Mühleisen, Thomas W.; Erbel, Raimund; Jöckel, Karl-Heinz; Moebus, Susanne; Boes, Tanja; Illig, Thomas; Froguel, Philippe; Hebebrand, Johannes; Meyre, David

2010-01-01

Meta-analyses of population-based genome-wide association studies (GWAS) in adults have recently led to the detection of new genetic loci for obesity. Here we aimed to discover additional obesity loci in extremely obese children and adolescents. We also investigated if these results generalize by estimating the effects of these obesity loci in adults and in population-based samples including both children and adults. We jointly analysed two GWAS of 2,258 individuals and followed-up the best, according to lowest p-values, 44 single nucleotide polymorphisms (SNP) from 21 genomic regions in 3,141 individuals. After this DISCOVERY step, we explored if the findings derived from the extremely obese children and adolescents (10 SNPs from 5 genomic regions) generalized to (i) the population level and (ii) to adults by genotyping another 31,182 individuals (GENERALIZATION step). Apart from previously identified FTO, MC4R, and TMEM18, we detected two new loci for obesity: one in SDCCAG8 (serologically defined colon cancer antigen 8 gene; p = 1.85×10−8 in the DISCOVERY step) and one between TNKS (tankyrase, TRF1-interacting ankyrin-related ADP-ribose polymerase gene) and MSRA (methionine sulfoxide reductase A gene; p = 4.84×10−7), the latter finding being limited to children and adolescents as demonstrated in the GENERALIZATION step. The odds ratios for early-onset obesity were estimated at ∼1.10 per risk allele for both loci. Interestingly, the TNKS/MSRA locus has recently been found to be associated with adult waist circumference. In summary, we have completed a meta-analysis of two GWAS which both focus on extremely obese children and adolescents and replicated our findings in a large followed-up data set. We observed that genetic variants in or near FTO, MC4R, TMEM18, SDCCAG8, and TNKS/MSRA were robustly associated with early-onset obesity. We conclude that the currently known major common variants related to obesity overlap to a substantial degree between

Two new Loci for body-weight regulation identified in a joint analysis of genome-wide association studies for early-onset extreme obesity in French and german study groups.

Directory of Open Access Journals (Sweden)

André Scherag

2010-04-01

Full Text Available Meta-analyses of population-based genome-wide association studies (GWAS in adults have recently led to the detection of new genetic loci for obesity. Here we aimed to discover additional obesity loci in extremely obese children and adolescents. We also investigated if these results generalize by estimating the effects of these obesity loci in adults and in population-based samples including both children and adults. We jointly analysed two GWAS of 2,258 individuals and followed-up the best, according to lowest p-values, 44 single nucleotide polymorphisms (SNP from 21 genomic regions in 3,141 individuals. After this DISCOVERY step, we explored if the findings derived from the extremely obese children and adolescents (10 SNPs from 5 genomic regions generalized to (i the population level and (ii to adults by genotyping another 31,182 individuals (GENERALIZATION step. Apart from previously identified FTO, MC4R, and TMEM18, we detected two new loci for obesity: one in SDCCAG8 (serologically defined colon cancer antigen 8 gene; p = 1.85x10(-8 in the DISCOVERY step and one between TNKS (tankyrase, TRF1-interacting ankyrin-related ADP-ribose polymerase gene and MSRA (methionine sulfoxide reductase A gene; p = 4.84x10(-7, the latter finding being limited to children and adolescents as demonstrated in the GENERALIZATION step. The odds ratios for early-onset obesity were estimated at approximately 1.10 per risk allele for both loci. Interestingly, the TNKS/MSRA locus has recently been found to be associated with adult waist circumference. In summary, we have completed a meta-analysis of two GWAS which both focus on extremely obese children and adolescents and replicated our findings in a large followed-up data set. We observed that genetic variants in or near FTO, MC4R, TMEM18, SDCCAG8, and TNKS/MSRA were robustly associated with early-onset obesity. We conclude that the currently known major common variants related to obesity overlap to a substantial

Could cognitive vulnerability identify high-risk subjects for schizophrenia?

Science.gov (United States)

Sarfati, Yves; Hardy-Baylé, Marie-Christine

2002-12-08

This review puts into questions the possible role of cognitive vulnerability markers in prediction and prevention of schizophrenia. Until recently, none of the identified cognitive anomalies has been proved to be definitive. However, as new promising candidates are emerging (DS-CPT, CPT-IP, P suppression, Saccadic Eye Movements), the predictive value of these trait-type anomalies may be criticized regarding four issues, which are discussed: technical, metrological, theoretical, and clinical. As things stand, the existence of a cognitive vulnerability marker, which testify to a permanent pathological trait, does not constitute a sufficient factor to identify and treat subjects who are at risk for schizophrenia. Copyright 2002 Wiley-Liss, Inc.

Genome-wide association of body fat distribution in African ancestry populations suggests new loci.

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Ching-Ti Liu

Full Text Available Central obesity, measured by waist circumference (WC or waist-hip ratio (WHR, is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS of fat distribution among those of predominantly African ancestry (AA. We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1. Overall, 25 SNPs with single genomic control (GC-corrected p-values<5.0 × 10(-6 were followed-up (stage 2 in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24×10(-8 for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48×10(-8 for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5 × 10(-8; RREB1: p = 5.7 × 10(-8. Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN. Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02. In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept

Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

NARCIS (Netherlands)

C.J. Willer (Cristen); E.K. Speliotes (Elizabeth); R.J.F. Loos (Ruth); S. Li (Shengxu); C.M. Lindgren (Cecilia); I.M. Heid (Iris); S.I. Berndt (Sonja); A.L. Elliott (Amanda); A.U. Jackson (Anne); C. Lamina (Claudia); G. Lettre (Guillaume); N. Lim (Noha); H.N. Lyon (Helen); S.A. McCarroll (Steven); K. Papadakis (Konstantinos); L. Qi (Lu); J.C. Randall (Joshua); R.M. Roccasecca; S. Sanna (Serena); P. Scheet (Paul); M.N. Weedon (Michael); E. Wheeler (Eleanor); J.H. Zhao (Jing Hua); L.C. Jacobs (Leonie); I. Prokopenko (Inga); N. Soranzo (Nicole); T. Tanaka (Toshiko); N.J. Timpson (Nicholas); P. Almgren (Peter); A.J. Bennett (Amanda); R.N. Bergman (Richard); S. Bingham (Sheila); L.L. Bonnycastle (Lori); M.J. Brown (Morris); N.P. Burtt (Noël); P.S. Chines (Peter); L. Coin (Lachlan); F.S. Collins (Francis); J. Connell (John); C. Cooper (Charles); G.D. Smith; E.M. Dennison (Elaine); P. Deodhar (Parimal); M.R. Erdos (Michael); K. Estrada Gil (Karol); D.M. Evans (David); L. Gianniny (Lauren); C. Gieger (Christian); C.J. Gillson (Christopher); C. Guiducci (Candace); R. Hackett (Rachel); D. Hadley (David); A.S. Hall (Alistair); A.S. Havulinna (Aki); J. Hebebrand (Johannes); A. Hofman (Albert); B. Isomaa (Bo); T. Johnson (Toby); P. Jousilahti (Pekka); Z. Jovanovic (Zorica); K-T. Khaw (Kay-Tee); P. Kraft (Peter); M. Kuokkanen (Mikko); J. Kuusisto (Johanna); J. Laitinen (Jaana); E. Lakatta (Edward); J. Luan; R.N. Luben (Robert); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); A. Mulas (Antonella); P. Munroe (Patricia); N. Narisu (Narisu); A.R. Ness (Andrew); K. Northstone (Kate); S. O'Rahilly (Stephen); C. Purmann (Carolin); M.G. Rees (Matthew); M. Ridderstråle (Martin); S.M. Ring (Susan); F. Rivadeneira Ramirez (Fernando); A. Ruokonen (Aimo); M.S. Sandhu (Manjinder); J. Saramies (Jouko); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); M.A. Sims (Matthew); K. Song (Kijoung); J. Stephens (Jonathan); S. Stevens (Suzanne); H.M. Stringham (Heather); Y.C.L. Tung (Loraine); T.T. Valle (Timo); P. Tikka-Kleemola (Päivi); K.S. Vimaleswaran (Karani); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); R.M. Watanabe (Richard); D. Waterworth (Dawn); N. Watkins (Nicholas); J.C.M. Witteman (Jacqueline); E. Zeggini (Eleftheria); G. Zhai (Guangju); M.C. Zillikens (Carola); D. Altshuler (David); M. Caulfield (Mark); S.J. Chanock (Stephen); I.S. Farooqi (Sadaf); L. Ferrucci (Luigi); J.M. Guralnik (Jack); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.-R. Jarvelin (Marjo-Riitta); M. Laakso (Markku); V. Mooser (Vincent); K.K. Ong (Ken); W.H. Ouwehand (Willem); V. Salomaa (Veikko); N.J. Samani (Nilesh); T.D. Spector (Timothy); T. Tuomi (Tiinamaija); J. Tuomilehto (Jaakko); M. Uda (Manuela); A.G. Uitterlinden (André); P. Deloukas (Panagiotis); N.J. Wareham (Nick); T.M. Frayling (Timothy); L. Groop (Leif); R.B. Hayes (Richard); D. Hunter (David); K.L. Mohlke (Karen); L. Peltonen (Leena Johanna); D. Schlessinger (David); D.P. Strachan (David); H.E. Wichmann (Erich); M.I. McCarthy (Mark); M. Boehnke (Michael); I.E. Barroso (Inês); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel)

2009-01-01

textabstractCommon variants at only two loci, FTO and MC4R, have been reproducibly associated with body mass index (BMI) in humans. To identify additional loci, we conducted meta-analysis of 15 genome-wide association studies for BMI (n > 32,000) and followed up top signals in 14 additional cohorts

Identification of Ganoderma Disease Resistance Loci Using Natural Field Infection of an Oil Palm Multiparental Population

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Sébastien Tisné

2017-06-01

Full Text Available Multi-parental populations are promising tools for identifying quantitative disease resistance loci. Stem rot caused by Ganoderma boninense is a major threat to palm oil production, with yield losses of up to 80% prompting premature replantation of palms. There is evidence of genetic resistance sources, but the genetic architecture of Ganoderma resistance has not yet been investigated. This study aimed to identify Ganoderma resistance loci using an oil palm multi-parental population derived from nine major founders of ongoing breeding programs. A total of 1200 palm trees of the multi-parental population was planted in plots naturally infected by Ganoderma, and their health status was assessed biannually over 25 yr. The data were treated as survival data, and modeled using the Cox regression model, including a spatial effect to take the spatial component in the spread of Ganoderma into account. Based on the genotypes of 757 palm trees out of the 1200 planted, and on pedigree information, resistance loci were identified using a random effect with identity-by-descent kinship matrices as covariance matrices in the Cox model. Four Ganoderma resistance loci were identified, two controlling the occurrence of the first Ganoderma symptoms, and two the death of palm trees, while favorable haplotypes were identified among a major gene pool for ongoing breeding programs. This study implemented an efficient and flexible QTL mapping approach, and generated unique valuable information for the selection of oil palm varieties resistant to Ganoderma disease.

Identification of Ganoderma Disease Resistance Loci Using Natural Field Infection of an Oil Palm Multiparental Population

Science.gov (United States)

Tisné, Sébastien; Pomiès, Virginie; Riou, Virginie; Syahputra, Indra; Cochard, Benoît; Denis, Marie

2017-01-01

Multi-parental populations are promising tools for identifying quantitative disease resistance loci. Stem rot caused by Ganoderma boninense is a major threat to palm oil production, with yield losses of up to 80% prompting premature replantation of palms. There is evidence of genetic resistance sources, but the genetic architecture of Ganoderma resistance has not yet been investigated. This study aimed to identify Ganoderma resistance loci using an oil palm multi-parental population derived from nine major founders of ongoing breeding programs. A total of 1200 palm trees of the multi-parental population was planted in plots naturally infected by Ganoderma, and their health status was assessed biannually over 25 yr. The data were treated as survival data, and modeled using the Cox regression model, including a spatial effect to take the spatial component in the spread of Ganoderma into account. Based on the genotypes of 757 palm trees out of the 1200 planted, and on pedigree information, resistance loci were identified using a random effect with identity-by-descent kinship matrices as covariance matrices in the Cox model. Four Ganoderma resistance loci were identified, two controlling the occurrence of the first Ganoderma symptoms, and two the death of palm trees, while favorable haplotypes were identified among a major gene pool for ongoing breeding programs. This study implemented an efficient and flexible QTL mapping approach, and generated unique valuable information for the selection of oil palm varieties resistant to Ganoderma disease. PMID:28592650

Efficient assembly of de novo human artificial chromosomes from large genomic loci

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Stromberg Gregory

2005-07-01

Full Text Available Abstract Background Human Artificial Chromosomes (HACs are potentially useful vectors for gene transfer studies and for functional annotation of the genome because of their suitability for cloning, manipulating and transferring large segments of the genome. However, development of HACs for the transfer of large genomic loci into mammalian cells has been limited by difficulties in manipulating high-molecular weight DNA, as well as by the low overall frequencies of de novo HAC formation. Indeed, to date, only a small number of large (>100 kb genomic loci have been reported to be successfully packaged into de novo HACs. Results We have developed novel methodologies to enable efficient assembly of HAC vectors containing any genomic locus of interest. We report here the creation of a novel, bimolecular system based on bacterial artificial chromosomes (BACs for the construction of HACs incorporating any defined genomic region. We have utilized this vector system to rapidly design, construct and validate multiple de novo HACs containing large (100–200 kb genomic loci including therapeutically significant genes for human growth hormone (HGH, polycystic kidney disease (PKD1 and ß-globin. We report significant differences in the ability of different genomic loci to support de novo HAC formation, suggesting possible effects of cis-acting genomic elements. Finally, as a proof of principle, we have observed sustained ß-globin gene expression from HACs incorporating the entire 200 kb ß-globin genomic locus for over 90 days in the absence of selection. Conclusion Taken together, these results are significant for the development of HAC vector technology, as they enable high-throughput assembly and functional validation of HACs containing any large genomic locus. We have evaluated the impact of different genomic loci on the frequency of HAC formation and identified segments of genomic DNA that appear to facilitate de novo HAC formation. These genomic loci

Distinct high resolution genome profiles of early onset and late onset colorectal cancer integrated with gene expression data identify candidate susceptibility loci

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Merok Marianne A

2010-05-01

Full Text Available Abstract Background Estimates suggest that up to 30% of colorectal cancers (CRC may develop due to an increased genetic risk. The mean age at diagnosis for CRC is about 70 years. Time of disease onset 20 years younger than the mean age is assumed to be indicative of genetic susceptibility. We have compared high resolution tumor genome copy number variation (CNV (Roche NimbleGen, 385 000 oligo CGH array in microsatellite stable (MSS tumors from two age groups, including 23 young at onset patients without known hereditary syndromes and with a median age of 44 years (range: 28-53 and 17 elderly patients with median age 79 years (range: 69-87. Our aim was to identify differences in the tumor genomes between these groups and pinpoint potential susceptibility loci. Integration analysis of CNV and genome wide mRNA expression data, available for the same tumors, was performed to identify a restricted candidate gene list. Results The total fraction of the genome with aberrant copy number, the overall genomic profile and the TP53 mutation spectrum were similar between the two age groups. However, both the number of chromosomal aberrations and the number of breakpoints differed significantly between the groups. Gains of 2q35, 10q21.3-22.1, 10q22.3 and 19q13.2-13.31 and losses from 1p31.3, 1q21.1, 2q21.2, 4p16.1-q28.3, 10p11.1 and 19p12, positions that in total contain more than 500 genes, were found significantly more often in the early onset group as compared to the late onset group. Integration analysis revealed a covariation of DNA copy number at these sites and mRNA expression for 107 of the genes. Seven of these genes, CLC, EIF4E, LTBP4, PLA2G12A, PPAT, RG9MTD2, and ZNF574, had significantly different mRNA expression comparing median expression levels across the transcriptome between the two groups. Conclusions Ten genomic loci, containing more than 500 protein coding genes, are identified as more often altered in tumors from early onset versus late

Potential contribution of the neurodegenerative disorders risk loci to cognitive performance in an elderly male gout population.

Science.gov (United States)

Han, Lin; Jia, Zhaotong; Cao, Chunwei; Liu, Zhen; Liu, Fuqiang; Wang, Lin; Ren, Wei; Sun, Mingxia; Wang, Baoping; Li, Changgui; Chen, Li

2017-09-01

Cognitive impairment has been described in elderly subjects with high normal concentrations of serum uric acid. However, it remains unclear if gout confers an increased poorer cognition than those in individuals with asymptomatic hyperuricemia. The present study aimed at evaluating cognitive function in patients suffering from gout in an elderly male population, and further investigating the genetic contributions to the risk of cognitive function.This study examined the cognitive function as assessed by Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) in 205 male gout patients and 204 controls. The genetic basis of these cognitive measures was evaluated by genome-wide association study (GWAS) data in 102 male gout patients. Furthermore, 7 loci associated with cognition in GWAS were studied for correlation with gout in 1179 male gout patients and 1848 healthy male controls.Compared with controls, gout patients had significantly lower MoCA scores [22.78 ± 3.01 vs 23.42 ± 2.95, P = .023, adjusted by age, body mass index (BMI), education, and emotional disorder]. GWAS revealed 7 single-nucleotide polymorphisms (SNPs) associations with MoCA test at a level of conventional genome-wide significance (P gout in further analysis (all P > .05).Elderly male subjects with gout exhibit accelerated decline in cognition performance. Several neurodegenerative disorders risk loci were identified for genetic contributors to cognitive performance in our Chinese elderly male gout population. Larger prospective studies of the cognitive performance and genetic analysis in gout subjects are recommended.

Replication and meta-analysis of GWAS identified susceptibility loci in Kawasaki disease confirm the importance of B lymphoid tyrosine kinase (BLK) in disease susceptibility

NARCIS (Netherlands)

Chang, Chia-Jung; Kuo, Ho-Chang; Chang, Jeng-Sheng; Lee, Jong-Keuk; Tsai, Fuu-Jen; Khor, Chiea Chuen; Chang, Li-Ching; Chen, Shih-Ping; Ko, Tai-Ming; Liu, Yi-Min; Chen, Ying-Ju; Hong, Young Mi; Jang, Gi Young; Hibberd, Martin L.; Kuijpers, Taco; Burgner, David; Levin, Michael; Burns, Jane C.; Davila, Sonia; Chen, Yuan-Tsong; Chen, Chien-Hsiun; Wu, Jer-Yuarn; Lee, Yi-Ching; Liang, Chi-Di; Hwang, Kao-Pin; Chang, Luan-Yin; Huang, Li-Min; Chen, Ming-Ren; Chi, Hsin; Huang, Fu-Yuan; Chiu, Nan-Chang; Lee, Meng-Luen; Huang, Yhu-Chering; Hwang, Betau; Lee, Pi-Chang; Yoo, Jeong-Jin; Park, In-Sook; Hong, Soo-Jong; Kim, Kwi-Joo; Kim, Jae-Jung; Sohn, Saejung; Young Jang, Gi; Ha, Kee-Soo; Nam, Hyo-Kyoung; Byeon, Jung-Hye; Yun, Sin Weon; Han, Myung Ki; Kuipers, Irene M.; Ottenkamp, Jaap J.; Biezeveld, Maarten

2013-01-01

The BLK and CD40 loci have been associated with Kawasaki disease (KD) in two genome-wide association studies (GWAS) conducted in a Taiwanese population of Han Chinese ancestry (Taiwanese) and in Japanese cohorts. Here we build on these findings with replication studies of the BLK and CD40 loci in

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

NARCIS (Netherlands)

Scott, Robert A.; Lagou, Vasiliki; Welch, Ryan P.; Wheeler, Eleanor; Montasser, May E.; Luan, Jian'an; Mägi, Reedik; Strawbridge, Rona J.; Rehnberg, Emil; Gustafsson, Stefan; Kanoni, Stavroula; Rasmussen-Torvik, Laura J.; Yengo, Loïc; Lecoeur, Cecile; Shungin, Dmitry; Sanna, Serena; Sidore, Carlo; Johnson, Paul C. D.; Jukema, J. Wouter; Johnson, Toby; Mahajan, Anubha; Verweij, Niek; Thorleifsson, Gudmar; Hottenga, Jouke-Jan; Shah, Sonia; Smith, Albert V.; Sennblad, Bengt; Gieger, Christian; Salo, Perttu; Perola, Markus; Timpson, Nicholas J.; Evans, David M.; Pourcain, Beate St; Wu, Ying; Andrews, Jeanette S.; Hui, Jennie; Bielak, Lawrence F.; Zhao, Wei; Horikoshi, Momoko; Navarro, Pau; Isaacs, Aaron; O'Connell, Jeffrey R.; Stirrups, Kathleen; Vitart, Veronique; Hayward, Caroline; Esko, Tõnu; Mihailov, Evelin; Fraser, Ross M.; Fall, Tove; Voight, Benjamin F.; Raychaudhuri, Soumya; Chen, Han; Lindgren, Cecilia M.; Morris, Andrew P.; Rayner, Nigel W.; Robertson, Neil; Rybin, Denis; Liu, Ching-Ti; Beckmann, Jacques S.; Willems, Sara M.; Chines, Peter S.; Jackson, Anne U.; Kang, Hyun Min; Stringham, Heather M.; Song, Kijoung; Tanaka, Toshiko; Peden, John F.; Goel, Anuj; Hicks, Andrew A.; An, Ping; Müller-Nurasyid, Martina; Franco-Cereceda, Anders; Folkersen, Lasse; Marullo, Letizia; Jansen, Hanneke; Oldehinkel, Albertine J.; Bruinenberg, Marcel; Pankow, James S.; North, Kari E.; Forouhi, Nita G.; Loos, Ruth J. F.; Edkins, Sarah; Varga, Tibor V.; Hallmans, Göran; Oksa, Heikki; Antonella, Mulas; Nagaraja, Ramaiah; Trompet, Stella; Ford, Ian; Bakker, Stephan J. L.; Kong, Augustine; Kumari, Meena; Gigante, Bruna; Herder, Christian; Munroe, Patricia B.; Caulfield, Mark; Antti, Jula; Mangino, Massimo; Small, Kerrin; Miljkovic, Iva; Liu, Yongmei; Atalay, Mustafa; Kiess, Wieland; James, Alan L.; Rivadeneira, Fernando; Uitterlinden, Andre G.; Palmer, Colin N. A.; Doney, Alex S. F.; Willemsen, Gonneke; Smit, Johannes H.; Campbell, Susan; Polasek, Ozren; Bonnycastle, Lori L.; Hercberg, Serge; Dimitriou, Maria; Bolton, Jennifer L.; Fowkes, Gerard R.; Kovacs, Peter; Lindström, Jaana; Zemunik, Tatijana; Bandinelli, Stefania; Wild, Sarah H.; Basart, Hanneke V.; Rathmann, Wolfgang; Grallert, Harald; Maerz, Winfried; Kleber, Marcus E.; Boehm, Bernhard O.; Peters, Annette; Pramstaller, Peter P.; Province, Michael A.; Borecki, Ingrid B.; Hastie, Nicholas D.; Rudan, Igor; Campbell, Harry; Watkins, Hugh; Farrall, Martin; Stumvoll, Michael; Ferrucci, Luigi; Waterworth, Dawn M.; Bergman, Richard N.; Collins, Francis S.; Tuomilehto, Jaakko; Watanabe, Richard M.; de Geus, Eco J. C.; Penninx, Brenda W.; Hofman, Albert; Oostra, Ben A.; Psaty, Bruce M.; Vollenweider, Peter; Wilson, James F.; Wright, Alan F.; Hovingh, G. Kees; Metspalu, Andres; Uusitupa, Matti; Magnusson, Patrik K. E.; Kyvik, Kirsten O.; Kaprio, Jaakko; Price, Jackie F.; Dedoussis, George V.; Deloukas, Panos; Meneton, Pierre; Lind, Lars; Boehnke, Michael; Shuldiner, Alan R.; van Duijn, Cornelia M.; Morris, Andrew D.; Toenjes, Anke; Peyser, Patricia A.; Beilby, John P.; Körner, Antje; Kuusisto, Johanna; Laakso, Markku; Bornstein, Stefan R.; Schwarz, Peter E. H.; Lakka, Timo A.; Rauramaa, Rainer; Adair, Linda S.; Smith, George Davey; Spector, Tim D.; Illig, Thomas; de Faire, Ulf; Hamsten, Anders; Gudnason, Vilmundur; Kivimaki, Mika; Hingorani, Aroon; Keinanen-Kiukaanniemi, Sirkka M.; Saaristo, Timo E.; Boomsma, Dorret I.; Stefansson, Kari; van der Harst, Pim; Dupuis, Josée; Pedersen, Nancy L.; Sattar, Naveed; Harris, Tamara B.; Cucca, Francesco; Ripatti, Samuli; Salomaa, Veikko; Mohlke, Karen L.; Balkau, Beverley; Froguel, Philippe; Pouta, Anneli; Jarvelin, Marjo-Riitta; Wareham, Nicholas J.; Bouatia-Naji, Nabila; McCarthy, Mark I.; Franks, Paul W.; Meigs, James B.; Teslovich, Tanya M.; Florez, Jose C.; Langenberg, Claudia; Ingelsson, Erik; Prokopenko, Inga; Barroso, Inês

2012-01-01

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes

Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

DEFF Research Database (Denmark)

Scott, Robert A; Lagou, Vasiliki; Welch, Ryan P

2012-01-01

Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes...

Novel genetic loci associated with hippocampal volume.

Science.gov (United States)

Hibar, Derrek P; Adams, Hieab H H; Jahanshad, Neda; Chauhan, Ganesh; Stein, Jason L; Hofer, Edith; Renteria, Miguel E; Bis, Joshua C; Arias-Vasquez, Alejandro; Ikram, M Kamran; Desrivières, Sylvane; Vernooij, Meike W; Abramovic, Lucija; Alhusaini, Saud; Amin, Najaf; Andersson, Micael; Arfanakis, Konstantinos; Aribisala, Benjamin S; Armstrong, Nicola J; Athanasiu, Lavinia; Axelsson, Tomas; Beecham, Ashley H; Beiser, Alexa; Bernard, Manon; Blanton, Susan H; Bohlken, Marc M; Boks, Marco P; Bralten, Janita; Brickman, Adam M; Carmichael, Owen; Chakravarty, M Mallar; Chen, Qiang; Ching, Christopher R K; Chouraki, Vincent; Cuellar-Partida, Gabriel; Crivello, Fabrice; Den Braber, Anouk; Doan, Nhat Trung; Ehrlich, Stefan; Giddaluru, Sudheer; Goldman, Aaron L; Gottesman, Rebecca F; Grimm, Oliver; Griswold, Michael E; Guadalupe, Tulio; Gutman, Boris A; Hass, Johanna; Haukvik, Unn K; Hoehn, David; Holmes, Avram J; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Jørgensen, Kjetil N; Karbalai, Nazanin; Kasperaviciute, Dalia; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H; Liewald, David C M; Lopez, Lorna M; Luciano, Michelle; Macare, Christine; Marquand, Andre F; Matarin, Mar; Mather, Karen A; Mattheisen, Manuel; McKay, David R; Milaneschi, Yuri; Muñoz Maniega, Susana; Nho, Kwangsik; Nugent, Allison C; Nyquist, Paul; Loohuis, Loes M Olde; Oosterlaan, Jaap; Papmeyer, Martina; Pirpamer, Lukas; Pütz, Benno; Ramasamy, Adaikalavan; Richards, Jennifer S; Risacher, Shannon L; Roiz-Santiañez, Roberto; Rommelse, Nanda; Ropele, Stefan; Rose, Emma J; Royle, Natalie A; Rundek, Tatjana; Sämann, Philipp G; Saremi, Arvin; Satizabal, Claudia L; Schmaal, Lianne; Schork, Andrew J; Shen, Li; Shin, Jean; Shumskaya, Elena; Smith, Albert V; Sprooten, Emma; Strike, Lachlan T; Teumer, Alexander; Tordesillas-Gutierrez, Diana; Toro, Roberto; Trabzuni, Daniah; Trompet, Stella; Vaidya, Dhananjay; Van der Grond, Jeroen; Van der Lee, Sven J; Van der Meer, Dennis; Van Donkelaar, Marjolein M J; Van Eijk, Kristel R; Van Erp, Theo G M; Van Rooij, Daan; Walton, Esther; Westlye, Lars T; Whelan, Christopher D; Windham, Beverly G; Winkler, Anderson M; Wittfeld, Katharina; Woldehawariat, Girma; Wolf, Christiane; Wolfers, Thomas; Yanek, Lisa R; Yang, Jingyun; Zijdenbos, Alex; Zwiers, Marcel P; Agartz, Ingrid; Almasy, Laura; Ames, David; Amouyel, Philippe; Andreassen, Ole A; Arepalli, Sampath; Assareh, Amelia A; Barral, Sandra; Bastin, Mark E; Becker, Diane M; Becker, James T; Bennett, David A; Blangero, John; van Bokhoven, Hans; Boomsma, Dorret I; Brodaty, Henry; Brouwer, Rachel M; Brunner, Han G; Buckner, Randy L; Buitelaar, Jan K; Bulayeva, Kazima B; Cahn, Wiepke; Calhoun, Vince D; Cannon, Dara M; Cavalleri, Gianpiero L; Cheng, Ching-Yu; Cichon, Sven; Cookson, Mark R; Corvin, Aiden; Crespo-Facorro, Benedicto; Curran, Joanne E; Czisch, Michael; Dale, Anders M; Davies, Gareth E; De Craen, Anton J M; De Geus, Eco J C; De Jager, Philip L; De Zubicaray, Greig I; Deary, Ian J; Debette, Stéphanie; DeCarli, Charles; Delanty, Norman; Depondt, Chantal; DeStefano, Anita; Dillman, Allissa; Djurovic, Srdjan; Donohoe, Gary; Drevets, Wayne C; Duggirala, Ravi; Dyer, Thomas D; Enzinger, Christian; Erk, Susanne; Espeseth, Thomas; Fedko, Iryna O; Fernández, Guillén; Ferrucci, Luigi; Fisher, Simon E; Fleischman, Debra A; Ford, Ian; Fornage, Myriam; Foroud, Tatiana M; Fox, Peter T; Francks, Clyde; Fukunaga, Masaki; Gibbs, J Raphael; Glahn, David C; Gollub, Randy L; Göring, Harald H H; Green, Robert C; Gruber, Oliver; Gudnason, Vilmundur; Guelfi, Sebastian; Håberg, Asta K; Hansell, Narelle K; Hardy, John; Hartman, Catharina A; Hashimoto, Ryota; Hegenscheid, Katrin; Heinz, Andreas; Le Hellard, Stephanie; Hernandez, Dena G; Heslenfeld, Dirk J; Ho, Beng-Choon; Hoekstra, Pieter J; Hoffmann, Wolfgang; Hofman, Albert; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Hottenga, Jouke-Jan; Huentelman, Matthew; Hulshoff Pol, Hilleke E; Ikeda, Masashi; Jack, Clifford R; Jenkinson, Mark; Johnson, Robert; Jönsson, Erik G; Jukema, J Wouter; Kahn, René S; Kanai, Ryota; Kloszewska, Iwona; Knopman, David S; Kochunov, Peter; Kwok, John B; Lawrie, Stephen M; Lemaître, Hervé; Liu, Xinmin; Longo, Dan L; Lopez, Oscar L; Lovestone, Simon; Martinez, Oliver; Martinot, Jean-Luc; Mattay, Venkata S; McDonald, Colm; McIntosh, Andrew M; McMahon, Francis J; McMahon, Katie L; Mecocci, Patrizia; Melle, Ingrid; Meyer-Lindenberg, Andreas; Mohnke, Sebastian; Montgomery, Grant W; Morris, Derek W; Mosley, Thomas H; Mühleisen, Thomas W; Müller-Myhsok, Bertram; Nalls, Michael A; Nauck, Matthias; Nichols, Thomas E; Niessen, Wiro J; Nöthen, Markus M; Nyberg, Lars; Ohi, Kazutaka; Olvera, Rene L; Ophoff, Roel A; Pandolfo, Massimo; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda W J H; Pike, G Bruce; Potkin, Steven G; Psaty, Bruce M; Reppermund, Simone; Rietschel, Marcella; Roffman, Joshua L; Romanczuk-Seiferth, Nina; Rotter, Jerome I; Ryten, Mina; Sacco, Ralph L; Sachdev, Perminder S; Saykin, Andrew J; Schmidt, Reinhold; Schmidt, Helena; Schofield, Peter R; Sigursson, Sigurdur; Simmons, Andrew; Singleton, Andrew; Sisodiya, Sanjay M; Smith, Colin; Smoller, Jordan W; Soininen, Hilkka; Steen, Vidar M; Stott, David J; Sussmann, Jessika E; Thalamuthu, Anbupalam; Toga, Arthur W; Traynor, Bryan J; Troncoso, Juan; Tsolaki, Magda; Tzourio, Christophe; Uitterlinden, Andre G; Hernández, Maria C Valdés; Van der Brug, Marcel; van der Lugt, Aad; van der Wee, Nic J A; Van Haren, Neeltje E M; van 't Ent, Dennis; Van Tol, Marie-Jose; Vardarajan, Badri N; Vellas, Bruno; Veltman, Dick J; Völzke, Henry; Walter, Henrik; Wardlaw, Joanna M; Wassink, Thomas H; Weale, Michael E; Weinberger, Daniel R; Weiner, Michael W; Wen, Wei; Westman, Eric; White, Tonya; Wong, Tien Y; Wright, Clinton B; Zielke, Ronald H; Zonderman, Alan B; Martin, Nicholas G; Van Duijn, Cornelia M; Wright, Margaret J; Longstreth, W T; Schumann, Gunter; Grabe, Hans J; Franke, Barbara; Launer, Lenore J; Medland, Sarah E; Seshadri, Sudha; Thompson, Paul M; Ikram, M Arfan

2017-01-18

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (r g =-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease

NARCIS (Netherlands)

van der Harst, Pim; Verweij, Niek

2018-01-01

Rationale: Coronary artery disease (CAD) is a complex phenotype driven by genetic and environmental factors. Ninety-seven genetic risk loci have been identified to date, but the identification of additional susceptibility loci might be important to enhance our understanding of the genetic

Development of polymorphic microsatellite loci for the tomato leaf ...

Indian Academy of Sciences (India)

lite loci for the tomato leaf miner, Tuta absoluta (Lepidoptera: Gelechiidae). J. Genet. 92, e110–e112. Online only ... idae) is a devastating pest of tomato originating from South. America (García and Espul 1982). .... ture of Aphis spiraecola (Hemiptera: Aphididae) on pear trees in. China identified using microsatellites.

Essential loci in centromeric heterochromatin of Drosophila melanogaster. I: the right arm of chromosome 2.

Science.gov (United States)

Coulthard, Alistair B; Alm, Christina; Cealiac, Iulia; Sinclair, Don A; Honda, Barry M; Rossi, Fabrizio; Dimitri, Patrizio; Hilliker, Arthur J

2010-06-01

With the most recent releases of the Drosophila melanogaster genome sequences, much of the previously absent heterochromatic sequences have now been annotated. We undertook an extensive genetic analysis of existing lethal mutations, as well as molecular mapping and sequence analysis (using a candidate gene approach) to identify as many essential genes as possible in the centromeric heterochromatin on the right arm of the second chromosome (2Rh) of D. melanogaster. We also utilized available RNA interference lines to knock down the expression of genes in 2Rh as another approach to identifying essential genes. In total, we verified the existence of eight novel essential loci in 2Rh: CG17665, CG17683, CG17684, CG17883, CG40127, CG41265, CG42595, and Atf6. Two of these essential loci, CG41265 and CG42595, are synonymous with the previously characterized loci l(2)41Ab and unextended, respectively. The genetic and molecular analysis of the previously reported locus, l(2)41Ae, revealed that this is not a single locus, but rather it is a large region of 2Rh that extends from unextended (CG42595) to CG17665 and includes four of the novel loci uncovered here.

Incorporation of covariates in simultaneous localization of two linked loci using affected relative pairs

Directory of Open Access Journals (Sweden)

Liang Kung-Yee

2010-07-01

Full Text Available Abstract Background Many dichotomous traits for complex diseases are often involved more than one locus and/or associated with quantitative biomarkers or environmental factors. Incorporating these quantitative variables into linkage analysis as well as localizing two linked disease loci simultaneously could therefore improve the efficiency in mapping genes. We extended the robust multipoint Identity-by-Descent (IBD approach with incorporation of covariates developed previously to simultaneously estimate two linked loci using different types of affected relative pairs (ARPs. Results We showed that the efficiency was enhanced by incorporating a quantitative covariate parametrically or non-parametrically while localizing two disease loci using ARPs. In addition to its help in identifying factors associated with the disease and in improving the efficiency in estimating disease loci, this extension also allows investigators to account for heterogeneity in risk-ratios for different ARPs. Data released from the collaborative study on the genetics of alcoholism (COGA for Genetic Analysis Workshop 14 (GAW 14 were used to illustrate the application of this extended method. Conclusions The simulation studies and example illustrated that the efficiency in estimating disease loci was demonstratively enhanced by incorporating a quantitative covariate and by using all relative pairs while mapping two linked loci simultaneously.

Coincidence in map positions between pathogen-induced defense-responsive genes and quantitative resistance loci in rice

Institute of Scientific and Technical Information of China (English)

熊敏; 王石平; 张启发

2002-01-01

Quantitative disease resistance conferred by quantitative trait loci (QTLs) is presumably of wider spectrum and durable. Forty-four cDNA clones, representing 44 defense-responsive genes, were fine mapped to 56 loci distributed on 9 of the 12 rice chromosomes. The locations of 32 loci detected by 27 cDNA clones were associated with previously identified resistance QTLs for different rice diseases, including blast, bacterial blight, sheath blight and yellow mottle virus. The loci detected by the same multiple-copy cDNA clones were frequently located on similar locations of different chromosomes. Some of the multiple loci detected by the same clones were all associated with resistance QTLs. These results suggest that some of the genes may be important components in regulation of defense responses against pathogen invasion and they may be the candidates for studying the mechanism of quantitative disease resistance in rice.

Effects of GWAS-associated genetic variants on lncRNAs within IBD and T1D candidate loci

DEFF Research Database (Denmark)

Mirza, Aashiq H; Kaur, Simranjeet; Brorsson, Caroline A

2014-01-01

-nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWAS) lie outside of the protein coding regions, and map to the non-coding intervals. However, the relationship between phenotype-associated loci and the non-coding regions including the long non-coding RNAs (lncRNAs) is poorly understood. Here......, we systemically identified all annotated IBD and T1D loci-associated lncRNAs, and mapped nominally significant GWAS/ImmunoChip SNPs for IBD and T1D within these lncRNAs. Additionally, we identified tissue-specific cis-eQTLs, and strong linkage disequilibrium (LD) signals associated with these SNPs...... within and in close proximity (+/-5 kb flanking regions) of IBD and T1D loci-associated candidate genes, suggesting that these RNA conformation-altering polymorphisms might be associated with diseased-phenotype. Disruption of lncRNA secondary structure due to presence of GWAS SNPs provides valuable...

Identification of Ganoderma Disease Resistance Loci Using Natural Field Infection of an Oil Palm Multiparental Population.

Science.gov (United States)

Tisné, Sébastien; Pomiès, Virginie; Riou, Virginie; Syahputra, Indra; Cochard, Benoît; Denis, Marie

2017-06-07

Multi-parental populations are promising tools for identifying quantitative disease resistance loci. Stem rot caused by Ganoderma boninense is a major threat to palm oil production, with yield losses of up to 80% prompting premature replantation of palms. There is evidence of genetic resistance sources, but the genetic architecture of Ganoderma resistance has not yet been investigated. This study aimed to identify Ganoderma resistance loci using an oil palm multi-parental population derived from nine major founders of ongoing breeding programs. A total of 1200 palm trees of the multi-parental population was planted in plots naturally infected by Ganoderma , and their health status was assessed biannually over 25 yr. The data were treated as survival data, and modeled using the Cox regression model, including a spatial effect to take the spatial component in the spread of Ganoderma into account. Based on the genotypes of 757 palm trees out of the 1200 planted, and on pedigree information, resistance loci were identified using a random effect with identity-by-descent kinship matrices as covariance matrices in the Cox model. Four Ganoderma resistance loci were identified, two controlling the occurrence of the first Ganoderma symptoms, and two the death of palm trees, while favorable haplotypes were identified among a major gene pool for ongoing breeding programs. This study implemented an efficient and flexible QTL mapping approach, and generated unique valuable information for the selection of oil palm varieties resistant to Ganoderma disease. Copyright © 2017 Tisné et al.

Identification of two novel mammographic density loci at 6Q25.1.

Science.gov (United States)

Brand, Judith S; Li, Jingmei; Humphreys, Keith; Karlsson, Robert; Eriksson, Mikael; Ivansson, Emma; Hall, Per; Czene, Kamila

2015-06-03

Mammographic density (MD) is a strong heritable and intermediate phenotype for breast cancer, but much of its genetic variation remains unexplained. We performed a large-scale genetic association study including 8,419 women of European ancestry to identify MD loci. Participants of three Swedish studies were genotyped on a custom Illumina iSelect genotyping array and percent and absolute mammographic density were ascertained using semiautomated and fully automated methods from film and digital mammograms. Linear regression analysis was used to test for SNP-MD associations, adjusting for age, body mass index, menopausal status and six principal components. Meta-analyses were performed by combining P values taking sample size, study-specific inflation factor and direction of effect into account. Genome-wide significant associations were observed for two previously identified loci: ZNF365 (rs10995194, P = 2.3 × 10(-8) for percent MD and P = 8.7 × 10(-9) for absolute MD) and AREG (rs10034692, P = 6.7 × 10(-9) for absolute MD). In addition, we found evidence of association for two variants at 6q25.1, both of which are known breast cancer susceptibility loci: rs9485370 in the TAB2 gene (P = 4.8 × 10(-9) for percent MD and P = 2.5 × 10(-8) for absolute MD) and rs60705924 in the CCDC170/ESR1 region (P = 2.2 × 10(-8) for absolute MD). Both regions have been implicated in estrogen receptor signaling with TAB2 being a potential regulator of tamoxifen response. We identified two novel MD loci at 6q25.1. These findings underscore the importance of 6q25.1 as a susceptibility region and provide more insight into the mechanisms through which MD influences breast cancer risk.

Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

NARCIS (Netherlands)

Phelan, Catherine M.; Kuchenbaecker, Karoline B.; Tyrer, Jonathan P.; Kar, Siddhartha P.; Lawrenson, Kate; Winham, Stacey J.; Dennis, Joe; Pirie, Ailith; Riggan, Marjorie J.; Chornokur, Ganna; Earp, Madalene A.; Lyra, Paulo C.; Lee, Janet M.; Coetzee, Simon; Beesley, Jonathan; McGuffog, Lesley; Soucy, Penny; Dicks, Ed; Lee, Andrew; Barrowdale, Daniel; Lecarpentier, Julie; Leslie, Goska; Aalfs, Cora M.; Aben, Katja K. H.; Adams, Marcia; Adlard, Julian; Andrulis, Irene L.; Anton-Culver, Hoda; Antonenkova, Natalia; Aravantinos, Gerasimos; Arnold, Norbert; Arun, Banu K.; Arver, Brita; Azzollini, Jacopo; Balmaña, Judith; Banerjee, Susana N.; Barjhoux, Laure; Barkardottir, Rosa B.; Bean, Yukie; Beckmann, Matthias W.; Beeghly-Fadiel, Alicia; Benitez, Javier; Bermisheva, Marina; Bernardini, Marcus Q.; Birrer, Michael J.; Bjorge, Line; Black, Amanda; Blankstein, Kenneth; Blok, Marinus J.; Bodelon, Clara; Bogdanova, Natalia; Bojesen, Anders; Bonanni, Bernardo; Borg, Åke; Bradbury, Angela R.; Brenton, James D.; Brewer, Carole; Brinton, Louise; Broberg, Per; Brooks-Wilson, Angela; Bruinsma, Fiona; Brunet, Joan; Buecher, Bruno; Butzow, Ralf; Buys, Saundra S.; Caldes, Trinidad; Caligo, Maria A.; Campbell, Ian; Cannioto, Rikki; Carney, Michael E.; Cescon, Terence; Chan, Salina B.; Chang-Claude, Jenny; Chanock, Stephen; Chen, Xiao Qing; Chiew, Yoke-Eng; Chiquette, Jocelyne; Chung, Wendy K.; Claes, Kathleen B. M.; Conner, Thomas; Cook, Linda S.; Cook, Jackie; Cramer, Daniel W.; Cunningham, Julie M.; D'Aloisio, Aimee A.; Daly, Mary B.; Damiola, Francesca; Damirovna, Sakaeva Dina; Dansonka-Mieszkowska, Agnieszka; Dao, Fanny; Davidson, Rosemarie; Defazio, Anna; Delnatte, Capucine; Doheny, Kimberly F.; Diez, Orland; Ding, Yuan Chun; Doherty, Jennifer Anne; Domchek, Susan M.; Dorfling, Cecilia M.; Dörk, Thilo; Dossus, Laure; Duran, Mercedes; Dürst, Matthias; Dworniczak, Bernd; Eccles, Diana; Edwards, Todd; Eeles, Ros; Eilber, Ursula; Ejlertsen, Bent; Ekici, Arif B.; Ellis, Steve; Elvira, Mingajeva; Eng, Kevin H.; Engel, Christoph; Evans, D. Gareth; Fasching, Peter A.; Ferguson, Sarah; Ferrer, Sandra Fert; Flanagan, James M.; Fogarty, Zachary C.; Fortner, Renée T.; Fostira, Florentia; Foulkes, William D.; Fountzilas, George; Fridley, Brooke L.; Friebel, Tara M.; Friedman, Eitan; Frost, Debra; Ganz, Patricia A.; Garber, Judy; García, María J.; Garcia-Barberan, Vanesa; Gehrig, Andrea; Gentry-Maharaj, Aleksandra; Gerdes, Anne-Marie; Giles, Graham G.; Glasspool, Rosalind; Glendon, Gord; Godwin, Andrew K.; Goldgar, David E.; Goranova, Teodora; Gore, Martin; Greene, Mark H.; Gronwald, Jacek; Gruber, Stephen; Hahnen, Eric; Haiman, Christopher A.; Håkansson, Niclas; Hamann, Ute; Hansen, Thomas V. O.; Harrington, Patricia A.; Harris, Holly R.; Hauke, Jan; Hein, Alexander; Henderson, Alex; Hildebrandt, Michelle A. T.; Hillemanns, Peter; Hodgson, Shirley; Høgdall, Claus K.; Høgdall, Estrid; Hogervorst, Frans B. L.; Holland, Helene; Hooning, Maartje J.; Hosking, Karen; Huang, Ruea-Yea; Hulick, Peter J.; Hung, Jillian; Hunter, David J.; Huntsman, David G.; Huzarski, Tomasz; Imyanitov, Evgeny N.; Isaacs, Claudine; Iversen, Edwin S.; Izatt, Louise; Izquierdo, Angel; Jakubowska, Anna; James, Paul; Janavicius, Ramunas; Jernetz, Mats; Jensen, Allan; Jensen, Uffe Birk; John, Esther M.; Johnatty, Sharon; Jones, Michael E.; Kannisto, Päivi; Karlan, Beth Y.; Karnezis, Anthony; Kast, Karin; Kennedy, Catherine J.; Khusnutdinova, Elza; Kiemeney, Lambertus A.; Kiiski, Johanna I.; Kim, Sung-Won; Kjaer, Susanne K.; Köbel, Martin; Kopperud, Reidun K.; Kruse, Torben A.; Kupryjanczyk, Jolanta; Kwong, Ava; Laitman, Yael; Lambrechts, Diether; Larrañaga, Nerea; Larson, Melissa C.; Lazaro, Conxi; Le, Nhu D.; Le Marchand, Loic; Lee, Jong Won; Lele, Shashikant B.; Leminen, Arto; Leroux, Dominique; Lester, Jenny; Lesueur, Fabienne; Levine, Douglas A.; Liang, Dong; Liebrich, Clemens; Lilyquist, Jenna; Lipworth, Loren; Lissowska, Jolanta; Lu, Karen H.; Lubinński, Jan; Luccarini, Craig; Lundvall, Lene; Mai, Phuong L.; Mendoza-Fandiño, Gustavo; Manoukian, Siranoush; Massuger, Leon F. A. G.; May, Taymaa; Mazoyer, Sylvie; McAlpine, Jessica N.; McGuire, Valerie; McLaughlin, John R.; McNeish, Iain; Meijers-Heijboer, Hanne; Meindl, Alfons; Menon, Usha; Mensenkamp, Arjen R.; Merritt, Melissa A.; Milne, Roger L.; Mitchell, Gillian; Modugno, Francesmary; Moes-Sosnowska, Joanna; Moffitt, Melissa; Montagna, Marco; Moysich, Kirsten B.; Mulligan, Anna Marie; Musinsky, Jacob; Nathanson, Katherine L.; Nedergaard, Lotte; Ness, Roberta B.; Neuhausen, Susan L.; Nevanlinna, Heli; Niederacher, Dieter; Nussbaum, Robert L.; Odunsi, Kunle; Olah, Edith; Olopade, Olufunmilayo I.; Olsson, Håkan; Olswold, Curtis; O'Malley, David M.; Ong, Kai-Ren; Onland-Moret, N. Charlotte; Orr, Nicholas; Orsulic, Sandra; Osorio, Ana; Palli, Domenico; Papi, Laura; Park-Simon, Tjoung-Won; Paul, James; Pearce, Celeste L.; Pedersen, Inge Søkilde; Peeters, Petra H. M.; Peissel, Bernard; Peixoto, Ana; Pejovic, Tanja; Pelttari, Liisa M.; Permuth, Jennifer B.; Peterlongo, Paolo; Pezzani, Lidia; Pfeiler, Georg; Phillips, Kelly-Anne; Piedmonte, Marion; Pike, Malcolm C.; Piskorz, Anna M.; Poblete, Samantha R.; Pocza, Timea; Poole, Elizabeth M.; Poppe, Bruce; Porteous, Mary E.; Prieur, Fabienne; Prokofyeva, Darya; Pugh, Elizabeth; Pujana, Miquel Angel; Pujol, Pascal; Radice, Paolo; Rantala, Johanna; Rappaport-Fuerhauser, Christine; Rennert, Gad; Rhiem, Kerstin; Rice, Patricia; Richardson, Andrea; Robson, Mark; Rodriguez, Gustavo C.; Rodríguez-Antona, Cristina; Romm, Jane; Rookus, Matti A.; Rossing, Mary Anne; Rothstein, Joseph H.; Rudolph, Anja; Runnebaum, Ingo B.; Salvesen, Helga B.; Sandler, Dale P.; Schoemaker, Minouk J.; Senter, Leigha; Setiawan, V. Wendy; Severi, Gianluca; Sharma, Priyanka; Shelford, Tameka; Siddiqui, Nadeem; Side, Lucy E.; Sieh, Weiva; Singer, Christian F.; Sobol, Hagay; Song, Honglin; Southey, Melissa C.; Spurdle, Amanda B.; Stadler, Zsofia; Steinemann, Doris; Stoppa-Lyonnet, Dominique; Sucheston-Campbell, Lara E.; Sukiennicki, Grzegorz; Sutphen, Rebecca; Sutter, Christian; Swerdlow, Anthony J.; Szabo, Csilla I.; Szafron, Lukasz; Tan, Yen Y.; Taylor, Jack A.; tea, Muy-Kheng; Teixeira, Manuel R.; teo, Soo-Hwang; Terry, Kathryn L.; Thompson, Pamela J.; Thomsen, Liv Cecilie Vestrheim; Thull, Darcy L.; Tihomirova, Laima; Tinker, Anna V.; Tischkowitz, Marc; Tognazzo, Silvia; Toland, Amanda Ewart; Tone, Alicia; Trabert, Britton; Travis, Ruth C.; Trichopoulou, Antonia; Tung, Nadine; Tworoger, Shelley S.; van Altena, Anne M.; van den Berg, David; van der Hout, Annemarie H.; van der Luijt, Rob B.; van Heetvelde, Mattias; van Nieuwenhuysen, Els; van Rensburg, Elizabeth J.; Vanderstichele, Adriaan; Varon-Mateeva, Raymonda; Vega, Ana; Edwards, Digna Velez; Vergote, Ignace; Vierkant, Robert A.; Vijai, Joseph; Vratimos, Athanassios; Walker, Lisa; Walsh, Christine; Wand, Dorothea; Wang-Gohrke, Shan; Wappenschmidt, Barbara; Webb, Penelope M.; Weinberg, Clarice R.; Weitzel, Jeffrey N.; Wentzensen, Nicolas; Whittemore, Alice S.; Wijnen, Juul T.; Wilkens, Lynne R.; Wolk, Alicja; Woo, Michelle; Wu, Xifeng; Wu, Anna H.; Yang, Hannah; Yannoukakos, Drakoulis; Ziogas, Argyrios; Zorn, Kristin K.; Narod, Steven A.; Easton, Douglas F.; Amos, Christopher I.; Schildkraut, Joellen M.; Ramus, Susan J.; Ottini, Laura; Goodman, Marc T.; Park, Sue K.; Kelemen, Linda E.; Risch, Harvey A.; Thomassen, Mads; Offit, Kenneth; Simard, Jacques; Schmutzler, Rita Katharina; Hazelett, Dennis; Monteiro, Alvaro N.; Couch, Fergus J.; Berchuck, Andrew; Chenevix-Trench, Georgia; Goode, Ellen L.; Sellers, Thomas A.; Gayther, Simon A.; Antoniou, Antonis C.; Pharoah, Paul D. P.

2017-01-01

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC

Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

DEFF Research Database (Denmark)

Phelan, Catherine M; Kuchenbaecker, Karoline B; Tyrer, Jonathan P

2017-01-01

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous E...

Outlier Loci and Selection Signatures of Simple Sequence Repeats (SSRs) in Flax (Linum usitatissimum L.).

Science.gov (United States)

Soto-Cerda, Braulio J; Cloutier, Sylvie

2013-01-01

Genomic microsatellites (gSSRs) and expressed sequence tag-derived SSRs (EST-SSRs) have gained wide application for elucidating genetic diversity and population structure in plants. Both marker systems are assumed to be selectively neutral when making demographic inferences, but this assumption is rarely tested. In this study, three neutrality tests were assessed for identifying outlier loci among 150 SSRs (85 gSSRs and 65 EST-SSRs) that likely influence estimates of population structure in three differentiated flax sub-populations ( F ST  = 0.19). Moreover, the utility of gSSRs, EST-SSRs, and the combined sets of SSRs was also evaluated in assessing genetic diversity and population structure in flax. Six outlier loci were identified by at least two neutrality tests showing footprints of balancing selection. After removing the outlier loci, the STRUCTURE analysis and the dendrogram topology of EST-SSRs improved. Conversely, gSSRs and combined SSRs results did not change significantly, possibly as a consequence of the higher number of neutral loci assessed. Taken together, the genetic structure analyses established the superiority of gSSRs to determine the genetic relationships among flax accessions, although the combined SSRs produced the best results. Genetic diversity parameters did not differ statistically ( P  > 0.05) between gSSRs and EST-SSRs, an observation partially explained by the similar number of repeat motifs. Our study provides new insights into the ability of gSSRs and EST-SSRs to measure genetic diversity and structure in flax and confirms the importance of testing for the occurrence of outlier loci to properly assess natural and breeding populations, particularly in studies considering only few loci.

Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

DEFF Research Database (Denmark)

Heid, Iris M; Jackson, Anne U; Randall, Joshua C

2010-01-01

and CPEB4 (P = 1.9 × 10¿¿ to P = 1.8 × 10¿4°) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 × 10¿³ to P = 1.2 × 10¿¹³). These findings provide evidence for multiple loci that modulate...... body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions....

Genome-wide linkage meta-analysis identifies susceptibility loci at 2q34 and 13q31.3 for genetic generalized epilepsies.

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Leu, Costin; de Kovel, Carolien G F; Zara, Federico; Striano, Pasquale; Pezzella, Marianna; Robbiano, Angela; Bianchi, Amedeo; Bisulli, Francesca; Coppola, Antonietta; Giallonardo, Anna Teresa; Beccaria, Francesca; Trenité, Dorothée Kasteleijn-Nolst; Lindhout, Dick; Gaus, Verena; Schmitz, Bettina; Janz, Dieter; Weber, Yvonne G; Becker, Felicitas; Lerche, Holger; Kleefuss-Lie, Ailing A; Hallman, Kerstin; Kunz, Wolfram S; Elger, Christian E; Muhle, Hiltrud; Stephani, Ulrich; Møller, Rikke S; Hjalgrim, Helle; Mullen, Saul; Scheffer, Ingrid E; Berkovic, Samuel F; Everett, Kate V; Gardiner, Mark R; Marini, Carla; Guerrini, Renzo; Lehesjoki, Anna-Elina; Siren, Auli; Nabbout, Rima; Baulac, Stephanie; Leguern, Eric; Serratosa, Jose M; Rosenow, Felix; Feucht, Martha; Unterberger, Iris; Covanis, Athanasios; Suls, Arvid; Weckhuysen, Sarah; Kaneva, Radka; Caglayan, Hande; Turkdogan, Dilsad; Baykan, Betul; Bebek, Nerses; Ozbek, Ugur; Hempelmann, Anne; Schulz, Herbert; Rüschendorf, Franz; Trucks, Holger; Nürnberg, Peter; Avanzini, Giuliano; Koeleman, Bobby P C; Sander, Thomas

2012-02-01

Genetic generalized epilepsies (GGEs) have a lifetime prevalence of 0.3% with heritability estimates of 80%. A considerable proportion of families with siblings affected by GGEs presumably display an oligogenic inheritance. The present genome-wide linkage meta-analysis aimed to map: (1) susceptibility loci shared by a broad spectrum of GGEs, and (2) seizure type-related genetic factors preferentially predisposing to either typical absence or myoclonic seizures, respectively. Meta-analysis of three genome-wide linkage datasets was carried out in 379 GGE-multiplex families of European ancestry including 982 relatives with GGEs. To dissect out seizure type-related susceptibility genes, two family subgroups were stratified comprising 235 families with predominantly genetic absence epilepsies (GAEs) and 118 families with an aggregation of juvenile myoclonic epilepsy (JME). To map shared and seizure type-related susceptibility loci, both nonparametric loci (NPL) and parametric linkage analyses were performed for a broad trait model (GGEs) in the entire set of GGE-multiplex families and a narrow trait model (typical absence or myoclonic seizures) in the subgroups of JME and GAE families. For the entire set of 379 GGE-multiplex families, linkage analysis revealed six loci achieving suggestive evidence for linkage at 1p36.22, 3p14.2, 5q34, 13q12.12, 13q31.3, and 19q13.42. The linkage finding at 5q34 was consistently supported by both NPL and parametric linkage results across all three family groups. A genome-wide significant nonparametric logarithm of odds score of 3.43 was obtained at 2q34 in 118 JME families. Significant parametric linkage to 13q31.3 was found in 235 GAE families assuming recessive inheritance (heterogeneity logarithm of odds = 5.02). Our linkage results support an oligogenic predisposition of familial GGE syndromes. The genetic risk factor at 5q34 confers risk to a broad spectrum of familial GGE syndromes, whereas susceptibility loci at 2q34 and 13q31

The association of 22 Y chromosome short tandem repeat loci with initiative-aggressive behavior.

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Yang, Chun; Ba, Huajie; Zhang, Wei; Zhang, Shuyou; Zhao, Hanqing; Yu, Haiying; Gao, Zhiqin; Wang, Binbin

2018-05-15

Aggressive behavior represents an important public concern and a clinical challenge to behaviorists and psychiatrists. Aggression in humans is known to have an important genetic basis, so to investigate the association of Y chromosome short tandem repeat (Y-STR) loci with initiative-aggressive behavior, we compared allelic and haplotypic distributions of 22 Y-STRs in a group of Chinese males convicted of premeditated extremely violent crimes (n = 271) with a normal control group (n = 492). Allelic distributions of DYS533 and DYS437 loci differed significantly between the two groups (P initiative aggression in non-psychiatric subjects. Copyright © 2018 Elsevier B.V. All rights reserved.

Inter-simple sequence repeat (ISSR) loci mapping in the genome of perennial ryegrass

DEFF Research Database (Denmark)

Pivorienė, O; Pašakinskienė, I; Brazauskas, G

2008-01-01

The aim of this study was to identify and characterize new ISSR markers and their loci in the genome of perennial ryegrass. A subsample of the VrnA F2 mapping family of perennial ryegrass comprising 92 individuals was used to develop a linkage map including inter-simple sequence repeat markers...... demonstrated a 70% similarity to the Hordeum vulgare germin gene GerA. Inter-SSR mapping will provide useful information for gene targeting, quantitative trait loci mapping and marker-assisted selection in perennial ryegrass....

Utilization during mitotic cell division of loci controlling meiotic recombination and disjunction in Drosophila melanogaster

International Nuclear Information System (INIS)

Baker, B.S.; Carpenter, A.T.C.; Ripoll, P.

1978-01-01

To inquire whether the loci identified by recombination-defective and disjunction-defective meiotic mutants in Drosophila are also utilized during mitotic cell division, the effects of 18 meiotic mutants (representing 13 loci) on mitotic chromosome stability have been examined genetically. To do this, meiotic-mutant-bearing flies heterozygous for recessive somatic cell markers were examined for the frequencies and types of spontaneous clones expressing the cell markers. In such flies, marked clones can arise via mitotic recombination, mutation, chromosome breakage, nondisjunction or chromosome loss, and clones from these different origins can be distinguished. In addition, meiotic mutants at nine loci have been examined for their effects on sensitivity to killing by uv and x rays. Mutants at six of the seven recombination-defective loci examined (mei-9, mei-41, c(3)G, mei-W68, mei-S282, mei-352, mei-218) cause mitotic chromosome instability in both sexes, whereas mutants at one locus (mei-218) do not affect mitotic chromosome stability. Thus many of the loci utilized during meiotic recombination also function in the chromosomal economy of mitotic cells

Three new loci for determining x chromosome inactivation patterns

DEFF Research Database (Denmark)

Bertelsen, Birgitte; Tümer, Zeynep; Ravn, Kirstine

2011-01-01

. The reliability of the loci was validated by showing a high correlation between the results obtained by employing the new loci and the AR locus using DNA from 15 females who were informative for all four loci. Altogether, we show that these loci can be applied easily in molecular diagnostic laboratories, either...

A genetic risk score combining ten psoriasis risk loci improves disease prediction.

Directory of Open Access Journals (Sweden)

Haoyan Chen

2011-04-01

Full Text Available Psoriasis is a chronic, immune-mediated skin disease affecting 2-3% of Caucasians. Recent genetic association studies have identified multiple psoriasis risk loci; however, most of these loci contribute only modestly to disease risk. In this study, we investigated whether a genetic risk score (GRS combining multiple loci could improve psoriasis prediction. Two approaches were used: a simple risk alleles count (cGRS and a weighted (wGRS approach. Ten psoriasis risk SNPs were genotyped in 2815 case-control samples and 858 family samples. We found that the total number of risk alleles in the cases was significantly higher than in controls, mean 13.16 (SD 1.7 versus 12.09 (SD 1.8, p = 4.577×10(-40. The wGRS captured considerably more risk than any SNP considered alone, with a psoriasis OR for high-low wGRS quartiles of 10.55 (95% CI 7.63-14.57, p = 2.010×10(-65. To compare the discriminatory ability of the GRS models, receiver operating characteristic curves were used to calculate the area under the curve (AUC. The AUC for wGRS was significantly greater than for cGRS (72.0% versus 66.5%, p = 2.13×10(-8. Additionally, the AUC for HLA-C alone (rs10484554 was equivalent to the AUC for all nine other risk loci combined (66.2% versus 63.8%, p = 0.18, highlighting the dominance of HLA-C as a risk locus. Logistic regression revealed that the wGRS was significantly associated with two subphenotypes of psoriasis, age of onset (p = 4.91×10(-6 and family history (p = 0.020. Using a liability threshold model, we estimated that the 10 risk loci account for only 11.6% of the genetic variance in psoriasis. In summary, we found that a GRS combining 10 psoriasis risk loci captured significantly more risk than any individual SNP and was associated with early onset of disease and a positive family history. Notably, only a small fraction of psoriasis heritability is captured by the common risk variants identified to date.

Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations.

Science.gov (United States)

Seow, Wei Jie; Matsuo, Keitaro; Hsiung, Chao Agnes; Shiraishi, Kouya; Song, Minsun; Kim, Hee Nam; Wong, Maria Pik; Hong, Yun-Chul; Hosgood, H Dean; Wang, Zhaoming; Chang, I-Shou; Wang, Jiu-Cun; Chatterjee, Nilanjan; Tucker, Margaret; Wei, Hu; Mitsudomi, Tetsuya; Zheng, Wei; Kim, Jin Hee; Zhou, Baosen; Caporaso, Neil E; Albanes, Demetrius; Shin, Min-Ho; Chung, Lap Ping; An, She-Juan; Wang, Ping; Zheng, Hong; Yatabe, Yasushi; Zhang, Xu-Chao; Kim, Young Tae; Shu, Xiao-Ou; Kim, Young-Chul; Bassig, Bryan A; Chang, Jiang; Ho, James Chung Man; Ji, Bu-Tian; Kubo, Michiaki; Daigo, Yataro; Ito, Hidemi; Momozawa, Yukihide; Ashikawa, Kyota; Kamatani, Yoichiro; Honda, Takayuki; Sakamoto, Hiromi; Kunitoh, Hideo; Tsuta, Koji; Watanabe, Shun-Ichi; Nokihara, Hiroshi; Miyagi, Yohei; Nakayama, Haruhiko; Matsumoto, Shingo; Tsuboi, Masahiro; Goto, Koichi; Yin, Zhihua; Shi, Jianxin; Takahashi, Atsushi; Goto, Akiteru; Minamiya, Yoshihiro; Shimizu, Kimihiro; Tanaka, Kazumi; Wu, Tangchun; Wei, Fusheng; Wong, Jason Y Y; Matsuda, Fumihiko; Su, Jian; Kim, Yeul Hong; Oh, In-Jae; Song, Fengju; Lee, Victor Ho Fun; Su, Wu-Chou; Chen, Yuh-Min; Chang, Gee-Chen; Chen, Kuan-Yu; Huang, Ming-Shyan; Yang, Pan-Chyr; Lin, Hsien-Chih; Xiang, Yong-Bing; Seow, Adeline; Park, Jae Yong; Kweon, Sun-Seog; Chen, Chien-Jen; Li, Haixin; Gao, Yu-Tang; Wu, Chen; Qian, Biyun; Lu, Daru; Liu, Jianjun; Jeon, Hyo-Sung; Hsiao, Chin-Fu; Sung, Jae Sook; Tsai, Ying-Huang; Jung, Yoo Jin; Guo, Huan; Hu, Zhibin; Wang, Wen-Chang; Chung, Charles C; Lawrence, Charles; Burdett, Laurie; Yeager, Meredith; Jacobs, Kevin B; Hutchinson, Amy; Berndt, Sonja I; He, Xingzhou; Wu, Wei; Wang, Junwen; Li, Yuqing; Choi, Jin Eun; Park, Kyong Hwa; Sung, Sook Whan; Liu, Li; Kang, Chang Hyun; Hu, Lingmin; Chen, Chung-Hsing; Yang, Tsung-Ying; Xu, Jun; Guan, Peng; Tan, Wen; Wang, Chih-Liang; Sihoe, Alan Dart Loon; Chen, Ying; Choi, Yi Young; Hung, Jen-Yu; Kim, Jun Suk; Yoon, Ho-Il; Cai, Qiuyin; Lin, Chien-Chung; Park, In Kyu; Xu, Ping; Dong, Jing; Kim, Christopher; He, Qincheng; Perng, Reury-Perng; Chen, Chih-Yi; Vermeulen, Roel; Wu, Junjie; Lim, Wei-Yen; Chen, Kun-Chieh; Chan, John K C; Chu, Minjie; Li, Yao-Jen; Li, Jihua; Chen, Hongyan; Yu, Chong-Jen; Jin, Li; Lo, Yen-Li; Chen, Ying-Hsiang; Fraumeni, Joseph F; Liu, Jie; Yamaji, Taiki; Yang, Yang; Hicks, Belynda; Wyatt, Kathleen; Li, Shengchao A; Dai, Juncheng; Ma, Hongxia; Jin, Guangfu; Song, Bao; Wang, Zhehai; Cheng, Sensen; Li, Xuelian; Ren, Yangwu; Cui, Ping; Iwasaki, Motoki; Shimazu, Taichi; Tsugane, Shoichiro; Zhu, Junjie; Jiang, Gening; Fei, Ke; Wu, Guoping; Chien, Li-Hsin; Chen, Hui-Ling; Su, Yu-Chun; Tsai, Fang-Yu; Chen, Yi-Song; Yu, Jinming; Stevens, Victoria L; Laird-Offringa, Ite A; Marconett, Crystal N; Lin, Dongxin; Chen, Kexin; Wu, Yi-Long; Landi, Maria Teresa; Shen, Hongbing; Rothman, Nathaniel; Kohno, Takashi; Chanock, Stephen J; Lan, Qing

2017-01-15

To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping in an additional 10,780 never-smoking cases and 10,938 never-smoking controls from Asia confirmed associations with eight known single nucleotide polymorphisms (SNPs). Two new signals were observed at genome-wide significance (P Asian women and highlight the importance of how the germline could inform risk for specific tumour mutation patterns, which could have important translational implications. Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.

Polymorphisms within novel risk loci for type 2 diabetes determine beta-cell function.

Directory of Open Access Journals (Sweden)

Harald Staiger

Full Text Available BACKGROUND: Type 2 diabetes arises when insulin resistance-induced compensatory insulin secretion exhausts. Insulin resistance and/or beta-cell dysfunction result from the interaction of environmental factors (high-caloric diet and reduced physical activity with a predisposing polygenic background. Very recently, genetic variations within four novel genetic loci (SLC30A8, HHEX, EXT2, and LOC387761 were reported to be more frequent in subjects with type 2 diabetes than in healthy controls. However, associations of these variations with insulin resistance and/or beta-cell dysfunction were not assessed. METHODOLOGY/PRINCIPAL FINDINGS: By genotyping of 921 metabolically characterized German subjects for the reported candidate single nucleotide polymorphisms (SNPs, we show that the major alleles of the SLC30A8 SNP rs13266634 and the HHEX SNP rs7923837 associate with reduced insulin secretion stimulated by orally or intravenously administered glucose, but not with insulin resistance. In contrast, the other reported type 2 diabetes candidate SNPs within the EXT2 and LOC387761 loci did not associate with insulin resistance or beta-cell dysfunction, respectively. CONCLUSIONS/SIGNIFICANCE: The HHEX and SLC30A8 genes encode for proteins that were shown to be required for organogenesis of the ventral pancreas and for insulin maturation/storage, respectively. Therefore, the major alleles of type 2 diabetes candidate SNPs within these genetic loci represent crucial alleles for beta-cell dysfunction and, thus, might confer increased susceptibility of beta-cells towards adverse environmental factors.

Fine mapping of breast cancer genome-wide association studies loci in women of African ancestry identifies novel susceptibility markers.

Science.gov (United States)

Zheng, Yonglan; Ogundiran, Temidayo O; Falusi, Adeyinka G; Nathanson, Katherine L; John, Esther M; Hennis, Anselm J M; Ambs, Stefan; Domchek, Susan M; Rebbeck, Timothy R; Simon, Michael S; Nemesure, Barbara; Wu, Suh-Yuh; Leske, Maria Cristina; Odetunde, Abayomi; Niu, Qun; Zhang, Jing; Afolabi, Chibuzor; Gamazon, Eric R; Cox, Nancy J; Olopade, Christopher O; Olopade, Olufunmilayo I; Huo, Dezheng

2013-07-01

Numerous single nucleotide polymorphisms (SNPs) associated with breast cancer susceptibility have been identified by genome-wide association studies (GWAS). However, these SNPs were primarily discovered and validated in women of European and Asian ancestry. Because linkage disequilibrium is ancestry-dependent and heterogeneous among racial/ethnic populations, we evaluated common genetic variants at 22 GWAS-identified breast cancer susceptibility loci in a pooled sample of 1502 breast cancer cases and 1378 controls of African ancestry. None of the 22 GWAS index SNPs could be validated, challenging the direct generalizability of breast cancer risk variants identified in Caucasians or Asians to other populations. Novel breast cancer risk variants for women of African ancestry were identified in regions including 5p12 (odds ratio [OR] = 1.40, 95% confidence interval [CI] = 1.11-1.76; P = 0.004), 5q11.2 (OR = 1.22, 95% CI = 1.09-1.36; P = 0.00053) and 10p15.1 (OR = 1.22, 95% CI = 1.08-1.38; P = 0.0015). We also found positive association signals in three regions (6q25.1, 10q26.13 and 16q12.1-q12.2) previously confirmed by fine mapping in women of African ancestry. In addition, polygenic model indicated that eight best markers in this study, compared with 22 GWAS-identified SNPs, could better predict breast cancer risk in women of African ancestry (per-allele OR = 1.21, 95% CI = 1.16-1.27; P = 9.7 × 10(-16)). Our results demonstrate that fine mapping is a powerful approach to better characterize the breast cancer risk alleles in diverse populations. Future studies and new GWAS in women of African ancestry hold promise to discover additional variants for breast cancer susceptibility with clinical implications throughout the African diaspora.

Fine-scale mapping of the 4q24 locus identifies two independent loci associated with breast cancer risk.

Science.gov (United States)

Guo, Xingyi; Long, Jirong; Zeng, Chenjie; Michailidou, Kyriaki; Ghoussaini, Maya; Bolla, Manjeet K; Wang, Qin; Milne, Roger L; Shu, Xiao-Ou; Cai, Qiuyin; Beesley, Jonathan; Kar, Siddhartha P; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Beckmann, Matthias W; Beeghly-Fadiel, Alicia; Benitez, Javier; Blot, William; Bogdanova, Natalia; Bojesen, Stig E; Brauch, Hiltrud; Brenner, Hermann; Brinton, Louise; Broeks, Annegien; Brüning, Thomas; Burwinkel, Barbara; Cai, Hui; Canisius, Sander; Chang-Claude, Jenny; Choi, Ji-Yeob; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Darabi, Hatef; Devilee, Peter; Droit, Arnaud; Dörk, Thilo; Fasching, Peter A; Fletcher, Olivia; Flyger, Henrik; Fostira, Florentia; Gaborieau, Valerie; García-Closas, Montserrat; Giles, Graham G; Grip, Mervi; Guénel, Pascal; Haiman, Christopher A; Hamann, Ute; Hartman, Mikael; Hollestelle, Antoinette; Hopper, John L; Hsiung, Chia-Ni; Ito, Hidemi; Jakubowska, Anna; Johnson, Nichola; Kabisch, Maria; Kang, Daehee; Khan, Sofia; Knight, Julia A; Kosma, Veli-Matti; Lambrechts, Diether; Le Marchand, Loic; Li, Jingmei; Lindblom, Annika; Lophatananon, Artitaya; Lubinski, Jan; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Marme, Frederik; Matsuo, Keitaro; McLean, Catriona A; Meindl, Alfons; Muir, Kenneth; Neuhausen, Susan L; Nevanlinna, Heli; Nord, Silje; Olson, Janet E; Orr, Nick; Peterlongo, Paolo; Putti, Thomas Choudary; Rudolph, Anja; Sangrajrang, Suleeporn; Sawyer, Elinor J; Schmidt, Marjanka K; Schmutzler, Rita K; Shen, Chen-Yang; Shi, Jiajun; Shrubsole, Martha J; Southey, Melissa C; Swerdlow, Anthony; Teo, Soo Hwang; Thienpont, Bernard; Toland, Amanda Ewart; Tollenaar, Robert A E M; Tomlinson, Ian P M; Truong, Thérèse; Tseng, Chiu-Chen; van den Ouweland, Ans; Wen, Wanqing; Winqvist, Robert; Wu, Anna; Yip, Cheng Har; Zamora, M Pilar; Zheng, Ying; Hall, Per; Pharoah, Paul D P; Simard, Jacques; Chenevix-Trench, Georgia; Dunning, Alison M; Easton, Douglas F; Zheng, Wei

2015-11-01

A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium. Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10(-4); OR, 1.04; 95% confidence interval (CI), 1.02-1.07] and rs77928427 (P = 1.86 × 10(-4); OR, 1.04; 95% CI, 1.02-1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r(2) ≥ 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor-binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue. Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2. Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk. ©2015 American Association for Cancer Research.

Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair

Science.gov (United States)

Liu, Fan; Chen, Yan; Zhu, Gu; Hysi, Pirro G; Wu, Sijie; Adhikari, Kaustubh; Breslin, Krystal; Pośpiech, Ewelina; Hamer, Merel A; Peng, Fuduan; Muralidharan, Charanya; Acuna-Alonzo, Victor; Canizales-Quinteros, Samuel; Bedoya, Gabriel; Gallo, Carla; Poletti, Giovanni; Rothhammer, Francisco; Bortolini, Maria Catira; Gonzalez-Jose, Rolando; Zeng, Changqing; Xu, Shuhua; Jin, Li; Uitterlinden, André G; Ikram, M Arfan; van Duijn, Cornelia M; Nijsten, Tamar; Walsh, Susan; Branicki, Wojciech; Wang, Sijia; Ruiz-Linares, Andrés; Spector, Timothy D; Martin, Nicholas G; Medland, Sarah E; Kayser, Manfred

2018-01-01

Abstract Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28 964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P < 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at the nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62–0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared with a previous model. Prediction outcomes of 2504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans. PMID:29220522

Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair.

Science.gov (United States)

Liu, Fan; Chen, Yan; Zhu, Gu; Hysi, Pirro G; Wu, Sijie; Adhikari, Kaustubh; Breslin, Krystal; Pospiech, Ewelina; Hamer, Merel A; Peng, Fuduan; Muralidharan, Charanya; Acuna-Alonzo, Victor; Canizales-Quinteros, Samuel; Bedoya, Gabriel; Gallo, Carla; Poletti, Giovanni; Rothhammer, Francisco; Bortolini, Maria Catira; Gonzalez-Jose, Rolando; Zeng, Changqing; Xu, Shuhua; Jin, Li; Uitterlinden, André G; Ikram, M Arfan; van Duijn, Cornelia M; Nijsten, Tamar; Walsh, Susan; Branicki, Wojciech; Wang, Sijia; Ruiz-Linares, Andrés; Spector, Timothy D; Martin, Nicholas G; Medland, Sarah E; Kayser, Manfred

2018-02-01

Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28 964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at the nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62-0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared with a previous model. Prediction outcomes of 2504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans. © The Author(s) 2017. Published by Oxford University Press.

Quantitative trait loci (QTL) mapping for inflorescence length traits in ...

African Journals Online (AJOL)

Lablab purpureus (L.) sweet is an ancient legume species whose immature pods serve as a vegetable in south and south-east Asia. The objective of this study is to identify quantitative trait loci (QTLs) associated with quantitative traits such as inflorescence length, peduncle length from branch to axil, peduncle length from ...

Identifying Quantitative Trait Loci (QTLs) and Developing Diagnostic Markers Linked to Orange Rust Resistance in Sugarcane (Saccharum spp.).

Science.gov (United States)

Yang, Xiping; Islam, Md S; Sood, Sushma; Maya, Stephanie; Hanson, Erik A; Comstock, Jack; Wang, Jianping

2018-01-01

Sugarcane ( Saccharum spp.) is an important economic crop, contributing up to 80% of table sugar used in the world and has become a promising feedstock for biofuel production. Sugarcane production has been threatened by many diseases, and fungicide applications for disease control have been opted out for sustainable agriculture. Orange rust is one of the major diseases impacting sugarcane production worldwide. Identifying quantitative trait loci (QTLs) and developing diagnostic markers are valuable for breeding programs to expedite release of superior sugarcane cultivars for disease control. In this study, an F 1 segregating population derived from a cross between two hybrid sugarcane clones, CP95-1039 and CP88-1762, was evaluated for orange rust resistance in replicated trails. Three QTLs controlling orange rust resistance in sugarcane (qORR109, qORR4 and qORR102) were identified for the first time ever, which can explain 58, 12 and 8% of the phenotypic variation, separately. We also characterized 1,574 sugarcane putative resistance ( R ) genes. These sugarcane putative R genes and simple sequence repeats in the QTL intervals were further used to develop diagnostic markers for marker-assisted selection of orange rust resistance. A PCR-based Resistance gene-derived maker, G1 was developed, which showed significant association with orange rust resistance. The putative QTLs and marker developed in this study can be effectively utilized in sugarcane breeding programs to facilitate the selection process, thus contributing to the sustainable agriculture for orange rust disease control.

Discovery and fine mapping of serum protein loci through transethnic meta-analysis.

Science.gov (United States)

Franceschini, Nora; van Rooij, Frank J A; Prins, Bram P; Feitosa, Mary F; Karakas, Mahir; Eckfeldt, John H; Folsom, Aaron R; Kopp, Jeffrey; Vaez, Ahmad; Andrews, Jeanette S; Baumert, Jens; Boraska, Vesna; Broer, Linda; Hayward, Caroline; Ngwa, Julius S; Okada, Yukinori; Polasek, Ozren; Westra, Harm-Jan; Wang, Ying A; Del Greco M, Fabiola; Glazer, Nicole L; Kapur, Karen; Kema, Ido P; Lopez, Lorna M; Schillert, Arne; Smith, Albert V; Winkler, Cheryl A; Zgaga, Lina; Bandinelli, Stefania; Bergmann, Sven; Boban, Mladen; Bochud, Murielle; Chen, Y D; Davies, Gail; Dehghan, Abbas; Ding, Jingzhong; Doering, Angela; Durda, J Peter; Ferrucci, Luigi; Franco, Oscar H; Franke, Lude; Gunjaca, Grog; Hofman, Albert; Hsu, Fang-Chi; Kolcic, Ivana; Kraja, Aldi; Kubo, Michiaki; Lackner, Karl J; Launer, Lenore; Loehr, Laura R; Li, Guo; Meisinger, Christa; Nakamura, Yusuke; Schwienbacher, Christine; Starr, John M; Takahashi, Atsushi; Torlak, Vesela; Uitterlinden, André G; Vitart, Veronique; Waldenberger, Melanie; Wild, Philipp S; Kirin, Mirna; Zeller, Tanja; Zemunik, Tatijana; Zhang, Qunyuan; Ziegler, Andreas; Blankenberg, Stefan; Boerwinkle, Eric; Borecki, Ingrid B; Campbell, Harry; Deary, Ian J; Frayling, Timothy M; Gieger, Christian; Harris, Tamara B; Hicks, Andrew A; Koenig, Wolfgang; O' Donnell, Christopher J; Fox, Caroline S; Pramstaller, Peter P; Psaty, Bruce M; Reiner, Alex P; Rotter, Jerome I; Rudan, Igor; Snieder, Harold; Tanaka, Toshihiro; van Duijn, Cornelia M; Vollenweider, Peter; Waeber, Gerard; Wilson, James F; Witteman, Jacqueline C M; Wolffenbuttel, Bruce H R; Wright, Alan F; Wu, Qingyu; Liu, Yongmei; Jenny, Nancy S; North, Kari E; Felix, Janine F; Alizadeh, Behrooz Z; Cupples, L Adrienne; Perry, John R B; Morris, Andrew P

2012-10-05

Many disorders are associated with altered serum protein concentrations, including malnutrition, cancer, and cardiovascular, kidney, and inflammatory diseases. Although these protein concentrations are highly heritable, relatively little is known about their underlying genetic determinants. Through transethnic meta-analysis of European-ancestry and Japanese genome-wide association studies, we identified six loci at genome-wide significance (p Japanese individuals) and three loci for total protein (TNFRS13B, 6q21.3, and ELL2, in up to 25,539 European-ancestry and 10,168 Japanese individuals). We observed little evidence of heterogeneity in allelic effects at these loci between groups of European and Japanese ancestry but obtained substantial improvements in the resolution of fine mapping of potential causal variants by leveraging transethnic differences in the distribution of linkage disequilibrium. We demonstrated a functional role for the most strongly associated serum albumin locus, HPN, for which Hpn knockout mice manifest low plasma albumin concentrations. Other loci associated with serum albumin harbor genes related to ribosome function, protein translation, and proteasomal degradation, whereas those associated with serum total protein include genes related to immune function. Our results highlight the advantages of transethnic meta-analysis for the discovery and fine mapping of complex trait loci and have provided initial insights into the underlying genetic architecture of serum protein concentrations and their association with human disease. Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

Sequencing Chromosomal Abnormalities Reveals Neurodevelopmental Loci that Confer Risk across Diagnostic Boundaries

DEFF Research Database (Denmark)

Talkowski, Michael E.; Rosenfeld, Jill A.; Blumenthal, Ian

2012-01-01

Sequencing of balanced chromosomal abnormalities, combined with convergent genomic studies of gene expression, copy-number variation, and genome-wide association, identifies 22 new loci that contribute to autism and related neurodevelopmental disorders. These data support a polygenic risk model...

Identification of six new susceptibility loci for invasive epithelial ovarian cancer

NARCIS (Netherlands)

Kuchenbaecker, K.B.; Ramus, S.J.; Tyrer, J.; Lee, A.; Shen, H.C.; Beesley, J.; Lawrenson, K.; McGuffog, L.; Healey, S.; Lee, J.M.; Spindler, T.J.; Lin, Y.G.; Pejovic, T.; Bean, Y.; Li, Q.; Coetzee, S.; Hazelett, D.; Miron, A.; Southey, M.; Terry, M.B.; Goldgar, D.E.; Buys, S.S.; Janavicius, R.; Dorfling, C.M.; Rensburg, E.J. van; Neuhausen, S.L.; Ding, Y.C.; Hansen, T.V.; Jonson, L.; Gerdes, A.M.; Ejlertsen, B.; Barrowdale, D.; Dennis, J.; Benitez, J.; Osorio, A.; Garcia, M.J.; Komenaka, I.; Weitzel, J.N.; Ganschow, P.; Peterlongo, P.; Bernard, L.; Viel, A.; Bonanni, B.; Peissel, B.; Manoukian, S.; Radice, P.; Papi, L.; Ottini, L.; Fostira, F.; Konstantopoulou, I.; Garber, J.; Frost, D.; Perkins, J.; Platte, R.; Ellis, S.; Embrace, .; Godwin, A.K.; Schmutzler, R.K.; Meindl, A.; Engel, C.; Sutter, C.; Sinilnikova, O.M.; Damiola, F.; Mazoyer, S.; Stoppa-Lyonnet, D.; Claes, K.; Leeneer, K. De; Kirk, J.; Rodriguez, G.C.; Piedmonte, M.; O'Malley, D.M.; Hoya, M. de la; Caldes, T.; Aittomaki, K.; Nevanlinna, H.; Collee, J.M.; Rookus, M.A.; Oosterwijk, J.C; Tihomirova, L.; Tung, N.; Hamann, U.; Isaccs, C.; Tischkowitz, M.; Imyanitov, E.N.; Caligo, M.A.; Campbell, I.G.; Hogervorst, F.B.; Olah, E.; Diez, O.; Blanco, I.; Brunet, J.; Lazaro, C.; Pujana, M.A.; Jakubowska, A.; Gronwald, J.; Lubinski, J.; Sukiennicki, G.; Massuger, L.F.A.G.; Altena, A.M. van; Aben, K.K.H.; Kiemeney, B.; Mensenkamp, A.R.; Kets, M.; Hoogerbrugge, N.; Ligtenberg, M.J.L.; et al.,

2015-01-01

Genome-wide association studies (GWAS) have identified 12 epithelial ovarian cancer (EOC) susceptibility alleles. The pattern of association at these loci is consistent in BRCA1 and BRCA2 mutation carriers who are at high risk of EOC. After imputation to 1000 Genomes Project data, we assessed

Identification of six new susceptibility loci for invasive epithelial ovarian cancer

NARCIS (Netherlands)

K.B. Kuchenbaecker (Karoline); S.J. Ramus (Susan); J.P. Tyrer (Jonathan); A. Lee (Andrew); H.C. Shen (Howard C.); J. Beesley (Jonathan); K. Lawrenson (Kate); L. McGuffog (Lesley); S. Healey (Sue); J.M. Lee (Janet M.); T.J. Spindler (Tassja J.); Y.G. Lin (Yvonne G.); T. Pejovic (Tanja); Y. Bean (Yukie); Q. Li (Qiyuan); S. Coetzee (Simon); D. Hazelett (Dennis); A. Miron (Alexander); M.C. Southey (Melissa); M.B. Terry (Mary Beth); D. Goldgar (David); S.S. Buys (Saundra); R. Janavicius (Ramunas); C.M. Dorfling (Cecilia); E.J. van Rensburg (Elizabeth); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); T.V.O. Hansen (Thomas); L. Jønson (Lars); A.-M. Gerdes (Anne-Marie); B. Ejlertsen (Bent); D. Barrowdale (Daniel); J. Dennis (Joe); J. Benítez (Javier); A. Osorio (Ana); M.J. Garcia (Maria Jose); I. Komenaka (Ian); J.N. Weitzel (Jeffrey); P. Ganschow (Pamela); P. Peterlongo (Paolo); L. Bernard (Loris); A. Viel (Alessandra); B. Bonnani (Bernardo); B. Peissel (Bernard); S. Manoukian (Siranoush); P. Radice (Paolo); L. Papi (Laura); L. Ottini (Laura); F. Fostira (Florentia); I. Konstantopoulou (I.); J. Garber (Judy); D. Frost (Debra); J. Perkins (Jo); R. Platte (Radka); S.D. Ellis (Steve); A.K. Godwin (Andrew K.); R.K. Schmutzler (Rita); A. Meindl (Alfons); C. Engel (Christoph); C. Sutter (Christian); O. Sinilnikova (Olga); F. Damiola (Francesca); S. Mazoyer (Sylvie); D. Stoppa-Lyonnet (Dominique); K.B.M. Claes (Kathleen B.M.); K. De Leeneer (Kim); J. Kirk (Judy); G. Rodriguez (Gustavo); M. Piedmonte (Marion); D.M. O'Malley (David M.); M. de La Hoya (Miguel); T. Caldes (Trinidad); K. Aittomäki (Kristiina); H. Nevanlinna (Heli); J.M. Collée (Margriet); M.A. Rookus (Matti); J.C. Oosterwijk (Jan); L. Tihomirova (Laima); N. Tung (Nadine); U. Hamann (Ute); C. Isaccs (Claudine); M. Tischkowitz (Marc); E.N. Imyanitov (Evgeny); M.A. Caligo (Maria); I. Campbell (Ian); F.B.L. Hogervorst (Frans); E. Olah; O. Díez (Orland); I. Blanco (Ignacio); J. Brunet (Joan); C. Lazaro (Conxi); M.A. Pujana (Miguel); A. Jakubowska (Anna); J. Gronwald (Jacek); J. Lubinski (Jan); G. Sukiennicki (Grzegorz); R.B. Barkardottir (Rosa); M. Plante (Marie); J. Simard (Jacques); P. Soucy (Penny); M. Montagna (Marco); S. Tognazzo (Silvia); P.J. Teixeira; V.S. Pankratz (Shane); X. Wang (Xianshu); N.M. Lindor (Noralane); C. Szabo (Csilla); N. Kauff (Noah); J. Vijai (Joseph); C.A. Aghajanian (Carol A.); G. Pfeiler (Georg); A. Berger (Andreas); C.F. Singer (Christian); M.-K. Tea; C. Phelan (Catherine); M.H. Greene (Mark H.); P.L. Mai (Phuong); G. Rennert (Gad); A.-M. Mulligan (Anna-Marie); S. Tchatchou (Sandrine); I.L. Andrulis (Irene); G. Glendon (Gord); A.E. Toland (Amanda); U.B. Jensen (Uffe Birk); T.A. Kruse (Torben); M. Thomassen (Mads); A. Bojesen (Anders); J. Zidan (Jamal); E. Friedman (Eitan); Y. Laitman (Yael); M. Soller (Maria); A. Liljegren (Annelie); B. Arver (Brita Wasteson); Z. Einbeigi (Zakaria); M. Stenmark-Askmalm (Marie); O.I. Olopade (Olufunmilayo I.); R.L. Nussbaum (Robert L.); T.R. Rebbeck (Timothy R.); K.L. Nathanson (Katherine); S.M. Domchek (Susan); K.H. Lu (Karen); B.Y. Karlan (Beth Y.); C. Walsh (Christine); K.J. Lester (Kathryn); R. Hein (Rebecca); A.B. Ekici (Arif); M.W. Beckmann (Matthias); P.A. Fasching (Peter); D. Lambrechts (Diether); E. Van Nieuwenhuysen (Els); I. Vergote (Ignace); S. Lambrechts (Sandrina); E. Dicks (Ed); J.A. Doherty (Jennifer A.); K.G. Wicklund (Kristine G.); M.A. Rossing (Mary Anne); A. Rudolph (Anja); J. Chang-Claude (Jenny); S. Wang-Gohrke (Shan); U. Eilber (Ursula); K.B. Moysich (Kirsten B.); K. Odunsi (Kunle); L. Sucheston (Lara); S. Lele (Shashi); L. Wilkens (Lynne); M.T. Goodman (Marc); P.J. Thompson (Pamela J.); Y.B. Shvetsov (Yurii B.); I.B. Runnebaum (Ingo); M. Dürst (Matthias); P. Hillemanns (Peter); T. Dörk (Thilo); N.N. Antonenkova (Natalia); N.V. Bogdanova (Natalia); A. Leminen (Arto); L.M. Pelttari (Liisa); R. Butzow (Ralf); F. Modugno (Francesmary); J.L. Kelley (Joseph L.); R. Edwards (Robert); R.B. Ness (Roberta); A. Du Bois (Andreas); P.U. Heitz; I. Schwaab (Ira); P. Harter (Philipp); K. Matsuo (Keitaro); N. Hosono (Naoya); S. Orsulic (Sandra); A. Jensen (Allan); M. Kjaer (Michael); E. Høgdall (Estrid); H.N. Hasmad (Hanis Nazihah); M.A. Noor Azmi (Mat Adenan); S.-H. Teo (Soo-Hwang); Y.L. Woo (Yin Ling); B.L. Fridley (Brooke); E.L. Goode (Ellen); J.M. Cunningham (Julie); R.A. Vierkant (Robert); F. Bruinsma (Fiona); G.G. Giles (Graham G.); D. Liang (Dong); M.A.T. Hildebrandt (Michelle A.T.); X. Wu (Xifeng); D.A. Levine (Douglas); M. Bisogna (Maria); A. Berchuck (Andrew); E. Iversen (Erik); J.M. Schildkraut (Joellen); P. Concannon (Patrick); R.P. Weber (Rachel Palmieri); D.W. Cramer (Daniel); K.L. Terry (Kathryn); E.M. Poole (Elizabeth); S. Tworoger (Shelley); E.V. Bandera (Elisa); I. Orlow (Irene); S.H. Olson (Sara); C. Krakstad (Camilla); H.B. Salvesen (Helga); I.L. Tangen (Ingvild L.); L. Bjorge (Line); A.M. van Altena (Anne); K.K.H. Aben (Katja); L.A.L.M. Kiemeney (Bart); L.F. Massuger (Leon); M. Kellar (Melissa); A. Brooks-Wilson (Angela); L.E. Kelemen (Linda); L.S. Cook (Linda S.); N.D. Le (Nhu D.); C. Cybulski (Cezary); H. Yang (Hannah); J. Lissowska (Jolanta); L.A. Brinton (Louise); N. Wentzensen (N.); C.K. Høgdall (Claus); L. Lundvall (Lene); L. Nedergaard (Lotte); H. Baker (Helen); H. Song (Honglin); D. Eccles (Diana); I. McNeish (Ian); J. Paul (James); K. Carty (Karen); N. Siddiqui (Nadeem); R. Glasspool (Rosalind); A.S. Whittemore (Alice S.); J.H. Rothstein (Joseph H.); W.P. McGuire; W. Sieh (Weiva); B.-T. Ji (Bu-Tian); W. Zheng (Wei); X.-O. Shu (Xiao-Ou); Y. Gao; B. Rosen (Barry); H. Risch (Harvey); J. McLaughlin (John); S.A. Narod (Steven A.); A.N.A. Monteiro (Alvaro N.); A. Chen (Ann); H.-Y. Lin (Hui-Yi); J. Permuth-Wey (Jenny); T.F. Sellers; Y.-Y. Tsai (Ya-Yu); Z. Chen (Zhihua); A. Ziogas (Argyrios); H. Anton-Culver (Hoda); A. Gentry-Maharaj (Aleksandra); U. Menon (Usha); P. harrington (Patricia); A.W. Lee (Alice W.); A.H. Wu (Anna H.); C.L. Pearce (Celeste); G. Coetzee (Gerry); M.C. Pike (Malcolm C.); A. Dansonka-Mieszkowska (Agnieszka); A. Timorek (Agnieszka); I.K. Rzepecka (Iwona); J. Kupryjanczyk (Jolanta); M. Freedman (Matthew); H. Noushmehr (Houtan); D.F. Easton (Douglas F.); K. Offit (Kenneth); F.J. Couch (Fergus); S.A. Gayther (Simon); P.P.D.P. Pharoah (Paul P.D.P.); A.C. Antoniou (Antonis C.); G. Chenevix-Trench (Georgia)

2015-01-01

textabstractGenome-wide association studies (GWAS) have identified 12 epithelial ovarian cancer (EOC) susceptibility alleles. The pattern of association at these loci is consistent in BRCA1 and BRCA2 mutation carriers who are at high risk of EOC. After imputation to 1000 Genomes Project data, we

Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

DEFF Research Database (Denmark)

Zillikens, M Carola; Demissie, Serkalem; Hsu, Yi-Hsiang

2017-01-01

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorpt...... a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.......-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p 

Discovery and fine-mapping of loci associated with MUFAs through trans-ethnic meta-analysis in Chinese and European populations[S

OpenAIRE

Hu, Yao; Tanaka, Toshiko; Zhu, Jingwen; Guan, Weihua; Wu, Jason H. Y.; Psaty, Bruce M.; McKnight, Barbara; King, Irena B.; Sun, Qi; Richard, Melissa; Manichaikul, Ani; Frazier-Wood, Alexis C.; Kabagambe, Edmond K.; Hopkins, Paul N.; Ordovas, Jose M.

2017-01-01

MUFAs are unsaturated FAs with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels are associated with cardiometabolic disorders, including CVD, T2D, and metabolic syndrome (MS). Previous genome-wide association studies (GWASs) have identified seven loci for plasma and erythrocyte palmitoleic and oleic acid levels in populations of European origin. To identify additional MUFA-associated loci ...

Linkage of DNA Methylation Quantitative Trait Loci to Human Cancer Risk

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Holger Heyn

2014-04-01

Full Text Available Epigenetic regulation and, in particular, DNA methylation have been linked to the underlying genetic sequence. DNA methylation quantitative trait loci (meQTL have been identified through significant associations between the genetic and epigenetic codes in physiological and pathological contexts. We propose that interrogating the interplay between polymorphic alleles and DNA methylation is a powerful method for improving our interpretation of risk alleles identified in genome-wide association studies that otherwise lack mechanistic explanation. We integrated patient cancer risk genotype data and genome-scale DNA methylation profiles of 3,649 primary human tumors, representing 13 solid cancer types. We provide a comprehensive meQTL catalog containing DNA methylation associations for 21% of interrogated cancer risk polymorphisms. Differentially methylated loci harbor previously reported and as-yet-unidentified cancer genes. We suggest that such regulation at the DNA level can provide a considerable amount of new information about the biology of cancer-risk alleles.

Isolation and Characterization of Eleven Polymorphic Microsatellite Loci for the Valuable Medicinal Plant Dendrobium huoshanense and Cross-Species Amplification

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Wang, Hui; Chen, Nai-Fu; Zheng, Ji-Yang; Wang, Wen-Cai; Pei, Yun-Yun; Zhu, Guo-Ping

2012-01-01

Dendrobium huoshanense (Orchidaceae) is a perennial herb and a widely used medicinal plant in Traditional Chinese medicine (TCM) endemic to Huoshan County town in Anhui province in Southeast China. A microsatellite-enriched genomic DNA library of D. huoshanense was developed and screened to identify marker loci. Eleven polymorphic loci were isolated and analyzed by screening 25 individuals collected from a natural population. The number of alleles per locus ranged from 2 to 5. The observed and expected heterozygosities ranged from 0.227 to 0.818 and from 0.317 to 0.757, respectively. Two loci showed significant deviations from Hardy-Weinberg equilibrium and four of the pairwise comparisons of loci revealed linkage disequilibrium (p < 0.05). These microsatellite loci were cross-amplified for five congeneric species and seven loci can be amplified in all species. These simple sequence repeats (SSR) markers are useful in genetic studies of D. huoshanense and other related species and in conservation decision-making. PMID:23222682

Association between previously identified loci affecting telomere length and coronary heart disease (CHD in Han Chinese population

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Ding H

2014-05-01

Full Text Available Hui Ding,1 Fen Yan,1 Lin-Lin Zhou,2 Xiu-Hai Ji,3 Xin-Nan Gu,1 Zhi-Wei Tang,1 Ru-Hua Chen11Department of Pulmonary Medicine, The Affiliated Yixing People's Hospital, Jiangsu University, Zhenjiang, Jiangsu Province, 2Department of Cardiology, Affiliated Cixi Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, 3Department of Oncology, Affiliated Taicang Hospital of Traditional Chinese Medicine, Suzhou, Jiangsu Province, People's Republic of ChinaPurpose: To replicate previously confirmed telomere-length loci in a Chinese Han population with coronary heart disease (CHD, and investigate these loci and the possibility of and age at onset of CHD.Patients and methods: 1514 CHD patients and 2470 normal controls were recruited. Medical data including age, sex, body mass index, lipid profiles, history of hypertension, type 2 diabetes mellitus, and dyslipidemia were collected from all the participants. Seven previously identified single-nucleotide polymorphisms (SNPs related to leucocyte telomere length were genotyped, including rs10936599 in TERC, rs2736100 in TERT, rs7675998 in NAF1, rs9420907 in OBFC1, rs8105767 in ZNF208, rs755017 in RTEL1, and rs11125529 in ACYP2.Results: No significant difference in genotype frequencies from the Hardy–Weinberg equilibrium test was noted for all tested SNPs both in the CHD patients and the normal controls. No polymorphism was observed for rs9420907, and AA genotype was noted in both the CHD patients and the controls. Neither the genotype nor the allele frequencies of rs2736100, rs8105767, rs11125529, and rs2967374 were significantly different between the CHD patients and the normal controls. For rs10936599 and rs755017, statistical difference was found for the allele frequency but not genotype. Distributions of genotype and allele were significantly different between the two groups for rs7675998. The odds ratio for carriers of CHD was 2.127 (95% confidence interval: 1.909–2.370 for the A allele of rs

Genome scan for nonadditive heterotic trait loci reveals mainly underdominant effects in Saccharomyces cerevisiae.

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Laiba, Efrat; Glikaite, Ilana; Levy, Yael; Pasternak, Zohar; Fridman, Eyal

2016-04-01

The overdominant model of heterosis explains the superior phenotype of hybrids by synergistic allelic interaction within heterozygous loci. To map such genetic variation in yeast, we used a population doubling time dataset of Saccharomyces cerevisiae 16 × 16 diallel and searched for major contributing heterotic trait loci (HTL). Heterosis was observed for the majority of hybrids, as they surpassed their best parent growth rate. However, most of the local heterozygous loci identified by genome scan were surprisingly underdominant, i.e., reduced growth. We speculated that in these loci adverse effects on growth resulted from incompatible allelic interactions. To test this assumption, we eliminated these allelic interactions by creating hybrids with local hemizygosity for the underdominant HTLs, as well as for control random loci. Growth of hybrids was indeed elevated for most hemizygous to HTL genes but not for control genes, hence validating the results of our genome scan. Assessing the consequences of local heterozygosity by reciprocal hemizygosity and allele replacement assays revealed the influence of genetic background on the underdominant effects of HTLs. Overall, this genome-wide study on a multi-parental hybrid population provides a strong argument against single gene overdominance as a major contributor to heterosis, and favors the dominance complementation model.

Biallelic and Genome Wide Association Mapping of Germanium Tolerant Loci in Rice (Oryza sativa L..

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Partha Talukdar

Full Text Available Rice plants accumulate high concentrations of silicon. Silicon has been shown to be involved in plant growth, high yield, and mitigating biotic and abiotic stresses. However, it has been demonstrated that inorganic arsenic is taken up by rice through silicon transporters under anaerobic conditions, thus the ability to efficiently take up silicon may be considered either a positive or a negative trait in rice. Germanium is an analogue of silicon that produces brown lesions in shoots and leaves, and germanium toxicity has been used to identify mutants in silicon and arsenic transport. In this study, two different genetic mapping methods were performed to determine the loci involved in germanium sensitivity in rice. Genetic mapping in the biparental cross of Bala × Azucena (an F6 population and a genome wide association (GWA study with 350 accessions from the Rice Diversity Panel 1 were conducted using 15 μM of germanic acid. This identified a number of germanium sensitive loci: some co-localised with previously identified quantitative trait loci (QTL for tissue silicon or arsenic concentration, none co-localised with Lsi1 or Lsi6, while one single nucleotide polymorphism (SNP was detected within 200 kb of Lsi2 (these are genes known to transport silicon, whose identity was discovered using germanium toxicity. However, examining candidate genes that are within the genomic region of the loci detected above reveals genes homologous to both Lsi1 and Lsi2, as well as a number of other candidate genes, which are discussed.

Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci

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Kar, Siddhartha P; Adler, Emily; Tyrer, Jonathan

2017-01-01

BACKGROUND: Genome-wide association studies (GWAS) have identified 18 loci associated with serous ovarian cancer (SOC) susceptibility but the biological mechanisms driving these findings remain poorly characterised. Germline cancer risk loci may be enriched for target genes of transcription factors...... (TFs) critical to somatic tumorigenesis. METHODS: All 615 TF-target sets from the Molecular Signatures Database were evaluated using gene set enrichment analysis (GSEA) and three GWAS for SOC risk: discovery (2196 cases/4396 controls), replication (7035 cases/21 693 controls; independent from discovery...... to interact with PAX8 in the literature to the PAX8-target set and applying an alternative to GSEA, interval enrichment, further confirmed this association (P=0.006). Fifteen of the 157 genes from this expanded PAX8 pathway were near eight loci associated with SOC risk at P

Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

DEFF Research Database (Denmark)

Kar, Siddhartha P; Beesley, Jonathan; Amin Al Olama, Ali

2016-01-01

UNLABELLED: Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112...... (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell......-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P cancer meta-analysis. SIGNIFICANCE...

Library Spirit and Genius Loci

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Dahlkild, Nan

2009-01-01

The architecture and design of Nyborg Public Library in the light of the concepts "Library Spirit" and "Genius Loci", related to contemporary social and cultural movements, the development of the early welfare state and the "Scandinavian Style".......The architecture and design of Nyborg Public Library in the light of the concepts "Library Spirit" and "Genius Loci", related to contemporary social and cultural movements, the development of the early welfare state and the "Scandinavian Style"....

Characterisation of 12 microsatellite loci in the Vietnamese commercial clam Lutraria rhynchaena Jonas 1844 (Heterodonta: Bivalvia: Mactridae) through next-generation sequencing.

Science.gov (United States)

Thai, Binh Thanh; Tan, Mun Hua; Lee, Yin Peng; Gan, Han Ming; Tran, Trang Thi; Austin, Christopher M

2016-05-01

The marine clam Lutraria rhynchaena is gaining popularity as an aquaculture species in Asia. Lutraria populations are present in the wild throughout Vietnam and several stocks have been established and translocated for breeding and aquaculture grow-out purposes. In this study, we demonstrate the feasibility of utilising Illumina next-generation sequencing technology to streamline the identification and genotyping of microsatellite loci from this clam species. Based on an initial partial genome scan, 48 microsatellite markers with similar melting temperatures were identified and characterised. The 12 most suitable polymorphic loci were then genotyped using 51 individuals from a population in Quang Ninh Province, North Vietnam. Genetic variation was low (mean number of alleles per locus = 2.6; mean expected heterozygosity = 0.41). Two loci showed significant deviation from Hardy-Weinberg equilibrium (HWE) and the presence of null alleles, but there was no evidence of linkage disequilibrium among loci. Three additional populations were screened (n = 7-36) to test the geographic utility of the 12 loci, which revealed 100 % successful genotyping in two populations from central Vietnam (Nha Trang). However, a second population from north Vietnam (Co To) could not be successfully genotyped and morphological evidence and mitochondrial variation suggests that this population represents a cryptic species of Lutraria. Comparisons of the Qang Ninh and Nha Trang populations, excluding the 2 loci out of HWE, revealed statistically significant allelic variation at 4 loci. We reported the first microsatellite loci set for the marine clam Lutraria rhynchaena and demonstrated its potential in differentiating clam populations. Additionally, a cryptic species population of Lutraria rhynchaena was identified during initial loci development, underscoring the overlooked diversity of marine clam species in Vietnam and the need to genetically characterise population representatives prior

Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium.

Science.gov (United States)

Ng, Maggie C Y; Graff, Mariaelisa; Lu, Yingchang; Justice, Anne E; Mudgal, Poorva; Liu, Ching-Ti; Young, Kristin; Yanek, Lisa R; Feitosa, Mary F; Wojczynski, Mary K; Rand, Kristin; Brody, Jennifer A; Cade, Brian E; Dimitrov, Latchezar; Duan, Qing; Guo, Xiuqing; Lange, Leslie A; Nalls, Michael A; Okut, Hayrettin; Tajuddin, Salman M; Tayo, Bamidele O; Vedantam, Sailaja; Bradfield, Jonathan P; Chen, Guanjie; Chen, Wei-Min; Chesi, Alessandra; Irvin, Marguerite R; Padhukasahasram, Badri; Smith, Jennifer A; Zheng, Wei; Allison, Matthew A; Ambrosone, Christine B; Bandera, Elisa V; Bartz, Traci M; Berndt, Sonja I; Bernstein, Leslie; Blot, William J; Bottinger, Erwin P; Carpten, John; Chanock, Stephen J; Chen, Yii-Der Ida; Conti, David V; Cooper, Richard S; Fornage, Myriam; Freedman, Barry I; Garcia, Melissa; Goodman, Phyllis J; Hsu, Yu-Han H; Hu, Jennifer; Huff, Chad D; Ingles, Sue A; John, Esther M; Kittles, Rick; Klein, Eric; Li, Jin; McKnight, Barbara; Nayak, Uma; Nemesure, Barbara; Ogunniyi, Adesola; Olshan, Andrew; Press, Michael F; Rohde, Rebecca; Rybicki, Benjamin A; Salako, Babatunde; Sanderson, Maureen; Shao, Yaming; Siscovick, David S; Stanford, Janet L; Stevens, Victoria L; Stram, Alex; Strom, Sara S; Vaidya, Dhananjay; Witte, John S; Yao, Jie; Zhu, Xiaofeng; Ziegler, Regina G; Zonderman, Alan B; Adeyemo, Adebowale; Ambs, Stefan; Cushman, Mary; Faul, Jessica D; Hakonarson, Hakon; Levin, Albert M; Nathanson, Katherine L; Ware, Erin B; Weir, David R; Zhao, Wei; Zhi, Degui; Arnett, Donna K; Grant, Struan F A; Kardia, Sharon L R; Oloapde, Olufunmilayo I; Rao, D C; Rotimi, Charles N; Sale, Michele M; Williams, L Keoki; Zemel, Babette S; Becker, Diane M; Borecki, Ingrid B; Evans, Michele K; Harris, Tamara B; Hirschhorn, Joel N; Li, Yun; Patel, Sanjay R; Psaty, Bruce M; Rotter, Jerome I; Wilson, James G; Bowden, Donald W; Cupples, L Adrienne; Haiman, Christopher A; Loos, Ruth J F; North, Kari E

2017-04-01

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained ≤ 20 variants in the credible sets that jointly account for 99% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.

A genome-wide association scan (GWAS) for mean telomere length within the COGS project: identified loci show little association with hormone-related cancer risk

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Pooley, Karen A.; Bojesen, Stig E.; Weischer, Maren; Nielsen, Sune F.; Thompson, Deborah; Amin Al Olama, Ali; Michailidou, Kyriaki; Tyrer, Jonathan P.; Benlloch, Sara; Brown, Judith; Audley, Tina; Luben, Robert; Khaw, K-T; Neal, David E.; Hamdy, Freddie C.; Donovan, Jenny L.; Kote-Jarai, Zsofia; Baynes, Caroline; Shah, Mitul; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Dicks, Ed; Yang, Rongxi; Rudolph, Anja; Schildkraut, Joellen; Chang-Claude, Jenny; Burwinkel, Barbara; Chenevix-Trench, Georgia; Pharoah, Paul D. P.; Berchuck, Andrew; Eeles, Rosalind A.; Easton, Douglas F.; Dunning, Alison M.; Nordestgaard, Børge G.

2013-01-01

Mean telomere length (TL) in blood cells is heritable and has been reported to be associated with risks of several diseases, including cancer. We conducted a meta-analysis of three GWAS for TL (total n=2240) and selected 1629 variants for replication via the “iCOGS” custom genotyping array. All ∼200 000 iCOGS variants were analysed with TL, and those displaying associations in healthy controls (n = 15 065) were further tested in breast cancer cases (n = 11 024). We found a novel TL association (Ptrend < 4 × 10−10) at 3p14.4 close to PXK and evidence (Ptrend < 7 × 10−7) for TL loci at 6p22.1 (ZNF311) and 20q11.2 (BCL2L1). We additionally confirmed (Ptrend < 5 × 10−14) the previously reported loci at 3q26.2 (TERC), 5p15.3 (TERT) and 10q24.3 (OBFC1) and found supportive evidence (Ptrend < 5 × 10−4) for the published loci at 2p16.2 (ACYP2), 4q32.2 (NAF1) and 20q13.3 (RTEL1). SNPs tagging these loci explain TL differences of up to 731 bp (corresponding to 18% of total TL in healthy individuals), however, they display little direct evidence for association with breast, ovarian or prostate cancer risks. PMID:23900074

A genome-wide association scan (GWAS) for mean telomere length within the COGS project: identified loci show little association with hormone-related cancer risk.

Science.gov (United States)

Pooley, Karen A; Bojesen, Stig E; Weischer, Maren; Nielsen, Sune F; Thompson, Deborah; Amin Al Olama, Ali; Michailidou, Kyriaki; Tyrer, Jonathan P; Benlloch, Sara; Brown, Judith; Audley, Tina; Luben, Robert; Khaw, K-T; Neal, David E; Hamdy, Freddie C; Donovan, Jenny L; Kote-Jarai, Zsofia; Baynes, Caroline; Shah, Mitul; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Dicks, Ed; Yang, Rongxi; Rudolph, Anja; Schildkraut, Joellen; Chang-Claude, Jenny; Burwinkel, Barbara; Chenevix-Trench, Georgia; Pharoah, Paul D P; Berchuck, Andrew; Eeles, Rosalind A; Easton, Douglas F; Dunning, Alison M; Nordestgaard, Børge G

2013-12-15

Mean telomere length (TL) in blood cells is heritable and has been reported to be associated with risks of several diseases, including cancer. We conducted a meta-analysis of three GWAS for TL (total n=2240) and selected 1629 variants for replication via the "iCOGS" custom genotyping array. All ∼200 000 iCOGS variants were analysed with TL, and those displaying associations in healthy controls (n = 15 065) were further tested in breast cancer cases (n = 11 024). We found a novel TL association (Ptrend < 4 × 10(-10)) at 3p14.4 close to PXK and evidence (Ptrend < 7 × 10(-7)) for TL loci at 6p22.1 (ZNF311) and 20q11.2 (BCL2L1). We additionally confirmed (Ptrend < 5 × 10(-14)) the previously reported loci at 3q26.2 (TERC), 5p15.3 (TERT) and 10q24.3 (OBFC1) and found supportive evidence (Ptrend < 5 × 10(-4)) for the published loci at 2p16.2 (ACYP2), 4q32.2 (NAF1) and 20q13.3 (RTEL1). SNPs tagging these loci explain TL differences of up to 731 bp (corresponding to 18% of total TL in healthy individuals), however, they display little direct evidence for association with breast, ovarian or prostate cancer risks.

Genome-wide association study to identify candidate loci and genes for Mn toxicity tolerance in rice.

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Asis Shrestha

Full Text Available Manganese (Mn is an essential micro-nutrient for plants, but flooded rice fields can accumulate high levels of Mn2+ leading to Mn toxicity. Here, we present a genome-wide association study (GWAS to identify candidate loci conferring Mn toxicity tolerance in rice (Oryza sativa L.. A diversity panel of 288 genotypes was grown in hydroponic solutions in a greenhouse under optimal and toxic Mn concentrations. We applied a Mn toxicity treatment (5 ppm Mn2+, 3 weeks at twelve days after transplanting. Mn toxicity caused moderate damage in rice in terms of biomass loss and symptom formation despite extremely high shoot Mn concentrations ranging from 2.4 to 17.4 mg g-1. The tropical japonica subpopulation was more sensitive to Mn toxicity than other subpopulations. Leaf damage symptoms were significantly correlated with Mn uptake into shoots. Association mapping was conducted for seven traits using 416741 single nucleotide polymorphism (SNP markers using a mixed linear model, and detected six significant associations for the traits shoot manganese concentration and relative shoot length. Candidate regions contained genes coding for a heavy metal transporter, peroxidase precursor and Mn2+ ion binding proteins. The significant marker SNP-2.22465867 caused an amino acid change in a gene (LOC_Os02g37170 with unknown function. This study demonstrated significant natural variation in rice for Mn toxicity tolerance and the possibility of using GWAS to unravel genetic factors responsible for such complex traits.

Model of chromosomal loci dynamics in bacteria as fractional diffusion with intermittent transport

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Gherardi, Marco; Calabrese, Ludovico; Tamm, Mikhail; Cosentino Lagomarsino, Marco

2017-10-01

The short-time dynamics of bacterial chromosomal loci is a mixture of subdiffusive and active motion, in the form of rapid relocations with near-ballistic dynamics. While previous work has shown that such rapid motions are ubiquitous, we still have little grasp on their physical nature, and no positive model is available that describes them. Here, we propose a minimal theoretical model for loci movements as a fractional Brownian motion subject to a constant but intermittent driving force, and compare simulations and analytical calculations to data from high-resolution dynamic tracking in E. coli. This analysis yields the characteristic time scales for intermittency. Finally, we discuss the possible shortcomings of this model, and show that an increase in the effective local noise felt by the chromosome associates to the active relocations.

Molecular distribution of deafness loci in variou ethnic groups of the punjab, pakistan

International Nuclear Information System (INIS)

Ullah, S.; Aslam, K.M.

2015-01-01

To determine the existence of autosomal recessive deafness loci in different ethnic tribes of the Punjab. Study Design: Descriptive observational study. Place and Duration of Study: Department of Human Genetics and Centre of Excellence in Molecular Biology, University of Health Sciences, Lahore, from July 2009 to March 2012. Methodology: Healthy willing subjects with autosomal recessive deafness loci were studied for selected deafness loci. Those who were unhealthy and gave history of infectious disease were excluded. DNA extraction was carried out using the inorganic method. Fluorescently labeled microsatellite markers were used for amplification of desired regions by PCR (Polymerase Chain Reaction). Automated allele assignment was performed using the ABI PRISM GeneScan Analysis Software Version 3.7 for Windows NT Platform. Two-point LOD scores were calculated using the FASTLINK computer package (Schaffer 1996) and MLINK was used for calculation and 95% CI (confidence intervals) were calculated. Results: One hundred and thirty two individuals of 8 families were analyzed. Three families (SAPun-03, SAPun-10 and SAPun-15) were found linked to DFNB12; two families (SAPun-05 and SAPun-17) were found linked to DFNB8/10, while three families (SAPun-06, SAPun-13 and SAPun-19) were found linked to DFNB29, DFNB36 and DFNB37 respectively. Conclusion: The genotyping results revealed that DFNB12 locus was the most common followed by DFNB8/10 locus, while the Loci DFNB29, DFNB36 and DFNB37 were less common. (author)

In-silico analysis of inflammatory bowel disease (IBD GWAS loci to novel connections.

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Md Mesbah-Uddin

Full Text Available Genome-wide association studies (GWASs for many complex diseases, including inflammatory bowel disease (IBD, produced hundreds of disease-associated loci-the majority of which are noncoding. The number of GWAS loci is increasing very rapidly, but the process of translating single nucleotide polymorphisms (SNPs from these loci to genomic medicine is lagging. In this study, we investigated 4,734 variants from 152 IBD associated GWAS loci (IBD associated 152 lead noncoding SNPs identified from pooled GWAS results + 4,582 variants in strong linkage-disequilibrium (LD (r2 ≥0.8 for EUR population of 1K Genomes Project using four publicly available bioinformatics tools, e.g. dbPSHP, CADD, GWAVA, and RegulomeDB, to annotate and prioritize putative regulatory variants. Of the 152 lead noncoding SNPs, around 11% are under strong negative selection (GERP++ RS ≥2; and ~30% are under balancing selection (Tajima's D score >2 in CEU population (1K Genomes Project--though these regions are positively selected (GERP++ RS <0 in mammalian evolution. The analysis of 4,734 variants using three integrative annotation tools produced 929 putative functional SNPs, of which 18 SNPs (from 15 GWAS loci are in concordance with all three classifiers. These prioritized noncoding SNPs may contribute to IBD pathogenesis by dysregulating the expression of nearby genes. This study showed the usefulness of integrative annotation for prioritizing fewer functional variants from a large number of GWAS markers.

Characterization and Exploitation of CRISPR Loci in Bifidobacterium longum

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Claudio Hidalgo-Cantabrana

2017-09-01

Full Text Available Diverse CRISPR-Cas systems provide adaptive immunity in many bacteria and most archaea, via a DNA-encoded, RNA-mediated, nucleic-acid targeting mechanism. Over time, CRISPR loci expand via iterative uptake of invasive DNA sequences into the CRISPR array during the adaptation process. These genetic vaccination cards thus provide insights into the exposure of strains to phages and plasmids in space and time, revealing the historical predatory exposure of a strain. These genetic loci thus constitute a unique basis for genotyping of strains, with potential of resolution at the strain-level. Here, we investigate the occurrence and diversity of CRISPR-Cas systems in the genomes of various Bifidobacterium longum strains across three sub-species. Specifically, we analyzed the genomic content of 66 genomes belonging to B. longum subsp. longum, B. longum subsp. infantis and B. longum subsp. suis, and identified 25 strains that carry 29 total CRISPR-Cas systems. We identify various Type I and Type II CRISPR-Cas systems that are widespread in this species, notably I-C, I-E, and II-C. Noteworthy, Type I-C systems showed extended CRISPR arrays, with extensive spacer diversity. We show how these hypervariable loci can be used to gain insights into strain origin, evolution and phylogeny, and can provide discriminatory sequences to distinguish even clonal isolates. By investigating CRISPR spacer sequences, we reveal their origin and implicate phages and prophages as drivers of CRISPR immunity expansion in this species, with redundant targeting of select prophages. Analysis of CRISPR spacer origin also revealed novel PAM sequences. Our results suggest that CRISPR-Cas immune systems are instrumental in mounting diversified viral resistance in B. longum, and show that these sequences are useful for typing across three subspecies.

Genome-wide association study identifies five new schizophrenia loci

NARCIS (Netherlands)

Ripke, S.; Sanders, A. R.; Kendler, K. S.; Levinson, D. F.; Sklar, P.; Holmans, P. A.; Lin, D. Y.; Duan, J.; Ophoff, R. A.; Andreassen, O. A.; Scolnick, E.; Cichon, S.; St Clair, D.; Corvin, A.; Gurling, H.; Werge, T.; Rujescu, D.; Blackwood, D. H.; Pato, C. N.; Malhotra, A. K.; Purcell, S.; Dudbridge, F.; Neale, B. M.; Rossin, L.; Visscher, P. M.; Posthuma, D.; Ruderfer, D. M.; Fanous, A.; Stefansson, H.; Steinberg, S.; Mowry, B. J.; Golimbet, V.; de Hert, M.; Jonsson, E. G.; Bitter, I.; Pietilainen, O. P.; Collier, D. A.; Tosato, S.; Agartz, I.; Albus, M.; Alexander, M.; Amdur, R. L.; Amin, F.; Bass, N.; Bergen, S. E.; Black, D. W.; Borglum, A. D.; Brown, M. A.; Bruggeman, R.; Buccola, N. G.; Byerley, W. F.; Cahn, W.; Cantor, R. M.; Carr, V. J.; Catts, S. V.; Choudhury, K.; Cloninger, C. R.; Cormican, P.; Craddock, N.; Danoy, P. A.; Datta, S.; de Haan, L.; Demontis, D.; Dikeos, D.; Djurovic, S.; Donnely, P.; Donohoe, G.; Duong, L.; Dwyer, S.; Fink-Jensen, A.; Freedman, R.; Freimer, N. B.; Friedl, M.; Georgieva, L.; Giegling, I.; Gill, M.; Glenthoj, B.; Godard, S.; Hamshere, M.; Hansen, M.; Hartmann, A. M.; Henskens, F. A.; Hougaard, D. M.; Hultman, C. M.; Ingason, A.; Jablensky, A. V.; Jakobsen, K. D.; Jay, M.; Jurgens, G.; Kahn, R. S.; Keller, M. C.; Kenis, G.; Kenny, E.; Kim, Y.; Kirov, G. K.; Konnerth, H.; Konte, B.; Krabbendam, L.; Krasucki, R.; Lasseter, V. K.; Laurent, C.; Lawrence, J.; Lencz, T.; Lerer, F. B.; Liang, K. Y.; Lichtenstein, P.; Lieberman, J. A.; Linszen, D. H.; Lonnqvist, J.; Loughland, C. M.; Maclean, A. W.; Maher, B. S.; Maier, W.; Mallet, J.; Malloy, P.; Mattheisen, M.; Mattingsdal, M.; McGhee, K. A.; McGrath, J. J.; McIntosh, A.; McLean, D. E.; McQuillin, A.; Melle, I.; Michie, P. T.; Milanova, V.; Morris, D. W.; Mors, O.; Mortensen, P. B.; Moskvina, V.; Muglia, P.; Myin-Germeys, I.; Nertney, D. A.; Nestadt, G.; Nielsen, J.; Nikolov, I.; Nordentoft, M.; Norton, N.; Nothen, M. M.; O'Dushlaine, C. T.; Olincy, A.; Olsen, L.; O'Neill, F. A.; Orntoft, T. F.; Owen, M. J.; Pantelis, C.; Papadimitriou, G.; Pato, M. T.; Peltonen, L.; Petursson, H.; Pickard, B.; Pimm, J.; Pulver, A. E.; Puri, V.; Quested, D.; Quinn, E. M.; Rasmussen, H. B.; Rethelyi, J. M.; Ribble, R.; Rietschel, M.; Riley, B. P.; Ruggeri, M.; Schall, U.; Schulze, T. G.; Schwab, S. G.; Scott, R. J.; Shi, J.; Sigurdsson, E.; Silvermann, J. M.; Spencer, C. C.; Stefansson, K.; Strange, A.; Strengman, E.; Stroup, T. S.; Suvisaari, J.; Terenius, L.; Thirumalai, S.; Thygesen, J. H.; Timm, S.; Toncheva, D.; van den Oord, E.; van Os, J.; van Winkel, R.; Veldink, J.; Walsh, D.; Wang, A. G.; Wiersma, D.; Wildenauer, D. B.; Williams, H. J.; Williams, N. M.; Wormley, B.; Zammit, S.; Sullivan, P. F.; O'Donovan, M. C.; Daly, M. J.; Gejman, P. V.

2011-01-01

We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded

Identification of quantitative trait loci for cadmium tolerance and accumulation in wheat

DEFF Research Database (Denmark)

Ci, Dunwei; Jiang, Dong; Li, Sishen

2012-01-01

Quantitative trait loci (QTL) for Cadmium (Cd) tolerance and accumulation in wheat (Triticum aestivum L.) were identified, using 103 recombinant inbred lines (RILs) derived from a cross of Ch×Sh at germination and seedling stages. The traits of germination, growth and physiology were measured. Cd...

Role of 108 schizophrenia-associated loci in modulating psychopathological dimensions in schizophrenia and bipolar disorder.

Science.gov (United States)

Fabbri, Chiara; Serretti, Alessandro

2017-10-01

The Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC) identified 108 loci associated with schizophrenia, but their role in modulating specific psychopathological dimensions of the disease is unknown. This study investigated which symptom dimensions may be affected by these loci in schizophrenia, and bipolar disorder. Positive, negative and depressive symptoms, suicidal ideation, cognition, violent behaviors, quality of life, and early onset were investigated in schizophrenia and bipolar disorder using the clinical antipsychotic trials of intervention effectiveness (CATIE) and systematic treatment enhancement program for bipolar disorder (STEP-BD) studies. Individual loci were investigated, then genes within 50 Kbp from polymorphisms with p schizophrenia-associated variant (rs75059851) may modulate negative symptoms. Multi-locus models may provide interesting insights about the biological mechanisms that mediate psychopathological dimensions. © 2017 Wiley Periodicals, Inc.

Microsatellite loci isolated from the scleractinian coral, Acropora nobilis.

Science.gov (United States)

Isomura, Naoko; Hidaka, Michio

2008-05-01

We report the isolation and characterization of eight microsatellite loci from the scleractinian coral, Acropora nobilis. The microsatellite loci were obtained using compound SSR primers or an enrichment protocol. All the loci were polymorphic with four to eight alleles per locus and observed heterozygosities ranging from 0.22 to 0.76. Some of the primers developed for the two congeners, Acropora palmata and Acropora millepora were applicable to A. nobilis. These loci are useful for studying the connectivity among A. nobilis populations in Okinawa, southern Japan. © 2007 The Authors.

Four loci explain 83% of size variation in the horse.

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Shokouh Makvandi-Nejad

Full Text Available Horse body size varies greatly due to intense selection within each breed. American Miniatures are less than one meter tall at the withers while Shires and Percherons can exceed two meters. The genetic basis for this variation is not known. We hypothesize that the breed population structure of the horse should simplify efforts to identify genes controlling size. In support of this, here we show with genome-wide association scans (GWAS that genetic variation at just four loci can explain the great majority of horse size variation. Unlike humans, which are naturally reproducing and possess many genetic variants with weak effects on size, we show that horses, like other domestic mammals, carry just a small number of size loci with alleles of large effect. Furthermore, three of our horse size loci contain the LCORL, HMGA2 and ZFAT genes that have previously been found to control human height. The LCORL/NCAPG locus is also implicated in cattle growth and HMGA2 is associated with dog size. Extreme size diversification is a hallmark of domestication. Our results in the horse, complemented by the prior work in cattle and dog, serve to pinpoint those very few genes that have played major roles in the rapid evolution of size during domestication.

Novel loci associated with increased risk of sudden cardiac death in the context of coronary artery disease.

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Adriana Huertas-Vazquez

Full Text Available Recent genome-wide association studies (GWAS have identified novel loci associated with sudden cardiac death (SCD. Despite this progress, identified DNA variants account for a relatively small portion of overall SCD risk, suggesting that additional loci contributing to SCD susceptibility await discovery. The objective of this study was to identify novel DNA variation associated with SCD in the context of coronary artery disease (CAD.Using the MetaboChip custom array we conducted a case-control association analysis of 119,117 SNPs in 948 SCD cases (with underlying CAD from the Oregon Sudden Unexpected Death Study (Oregon-SUDS and 3,050 controls with CAD from the Wellcome Trust Case-Control Consortium (WTCCC. Two newly identified loci were significantly associated with increased risk of SCD after correction for multiple comparisons at: rs6730157 in the RAB3GAP1 gene on chromosome 2 (P = 4.93×10(-12, OR = 1.60 and rs2077316 in the ZNF365 gene on chromosome 10 (P = 3.64×10(-8, OR = 2.41.Our findings suggest that RAB3GAP1 and ZNF365 are relevant candidate genes for SCD and will contribute to the mechanistic understanding of SCD susceptibility.

Evaluation of six candidate DNA barcode loci for identification of five important invasive grasses in eastern Australia.

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Aisuo Wang

Full Text Available Invasive grass weeds reduce farm productivity, threaten biodiversity, and increase weed control costs. Identification of invasive grasses from native grasses has generally relied on the morphological examination of grass floral material. DNA barcoding may provide an alternative means to identify co-occurring native and invasive grasses, particularly during early growth stages when floral characters are unavailable for analysis. However, there are no universal loci available for grass barcoding. We herein evaluated the utility of six candidate loci (atpF intron, matK, ndhK-ndhC, psbE-petL, ETS and ITS for barcode identification of several economically important invasive grass species frequently found among native grasses in eastern Australia. We evaluated these loci in 66 specimens representing five invasive grass species (Chloris gayana, Eragrostis curvula, Hyparrhenia hirta, Nassella neesiana, Nassella trichotoma and seven native grass species. Our results indicated that, while no single locus can be universally used as a DNA barcode for distinguishing the grass species examined in this study, two plastid loci (atpF and matK showed good distinguishing power to separate most of the taxa examined, and could be used as a dual locus to distinguish several of the invasive from the native species. Low PCR success rates were evidenced among two nuclear loci (ETS and ITS, and few species were amplified at these loci, however ETS was able to genetically distinguish the two important invasive Nassella species. Multiple loci analyses also suggested that ETS played a crucial role in allowing identification of the two Nassella species in the multiple loci combinations.

Identification of multi-loci hubs from 4C-seq demonstrates the functional importance of simultaneous interactions.

Science.gov (United States)

Jiang, Tingting; Raviram, Ramya; Snetkova, Valentina; Rocha, Pedro P; Proudhon, Charlotte; Badri, Sana; Bonneau, Richard; Skok, Jane A; Kluger, Yuval

2016-10-14

Use of low resolution single cell DNA FISH and population based high resolution chromosome conformation capture techniques have highlighted the importance of pairwise chromatin interactions in gene regulation. However, it is unlikely that associations involving regulatory elements act in isolation of other interacting partners that also influence their impact. Indeed, the influence of multi-loci interactions remains something of an enigma as beyond low-resolution DNA FISH we do not have the appropriate tools to analyze these. Here we present a method that uses standard 4C-seq data to identify multi-loci interactions from the same cell. We demonstrate the feasibility of our method using 4C-seq data sets that identify known pairwise and novel tri-loci interactions involving the Tcrb and Igk antigen receptor enhancers. We further show that the three Igk enhancers, MiEκ, 3'Eκ and Edκ, interact simultaneously in this super-enhancer cluster, which add to our previous findings showing that loss of one element decreases interactions between all three elements as well as reducing their transcriptional output. These findings underscore the functional importance of simultaneous interactions and provide new insight into the relationship between enhancer elements. Our method opens the door for studying multi-loci interactions and their impact on gene regulation in other biological settings. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Genome-Wide Association Study Reveals Four Loci for Lipid Ratios in the Korean Population and the Constitutional Subgroup.

Science.gov (United States)

Kim, Taehyeung; Park, Ah Yeon; Baek, Younghwa; Cha, Seongwon

2017-01-01

Circulating lipid ratios are considered predictors of cardiovascular risks and metabolic syndrome, which cause coronary heart diseases. One constitutional type of Korean medicine prone to weight accumulation, the Tae-Eum type, predisposes the consumers to metabolic syndrome, hypertension, diabetes mellitus, etc. Here, we aimed to identify genetic variants for lipid ratios using a genome-wide association study (GWAS) and followed replication analysis in Koreans and constitutional subgroups. GWASs in 5,292 individuals of the Korean Genome and Epidemiology Study and replication analyses in 2,567 subjects of the Korea medicine Data Center were performed to identify genetic variants associated with triglyceride (TG) to HDL cholesterol (HDLC), LDL cholesterol (LDLC) to HDLC, and non-HDLC to HDLC ratios. For subgroup analysis, a computer-based constitution analysis tool was used to categorize the constitutional types of the subjects. In the discovery stage, seven variants in four loci, three variants in three loci, and two variants in one locus were associated with the ratios of log-transformed TG:HDLC (log[TG]:HDLC), LDLC:HDLC, and non-HDLC:HDLC, respectively. The associations of the GWAS variants with lipid ratios were replicated in the validation stage: for the log[TG]:HDLC ratio, rs6589566 near APOA5 and rs4244457 and rs6586891 near LPL; for the LDLC:HDLC ratio, rs4420638 near APOC1 and rs17445774 near C2orf47; and for the non-HDLC:HDLC ratio, rs6589566 near APOA5. Five of these six variants are known to be associated with TG, LDLC, and/or HDLC, but rs17445774 was newly identified to be involved in lipid level changes in this study. Constitutional subgroup analysis revealed effects of variants associated with log[TG]:HDLC and non-HDLC:HDLC ratios in both the Tae-Eum and non-Tae-Eum types, whereas the effect of the LDLC:HDLC ratio-associated variants remained only in the Tae-Eum type. In conclusion, we identified three log[TG]:HDLC ratio-associated variants, two LDLC

Genome-Wide Association Study Reveals Four Loci for Lipid Ratios in the Korean Population and the Constitutional Subgroup.

Directory of Open Access Journals (Sweden)

Taehyeung Kim

Full Text Available Circulating lipid ratios are considered predictors of cardiovascular risks and metabolic syndrome, which cause coronary heart diseases. One constitutional type of Korean medicine prone to weight accumulation, the Tae-Eum type, predisposes the consumers to metabolic syndrome, hypertension, diabetes mellitus, etc. Here, we aimed to identify genetic variants for lipid ratios using a genome-wide association study (GWAS and followed replication analysis in Koreans and constitutional subgroups. GWASs in 5,292 individuals of the Korean Genome and Epidemiology Study and replication analyses in 2,567 subjects of the Korea medicine Data Center were performed to identify genetic variants associated with triglyceride (TG to HDL cholesterol (HDLC, LDL cholesterol (LDLC to HDLC, and non-HDLC to HDLC ratios. For subgroup analysis, a computer-based constitution analysis tool was used to categorize the constitutional types of the subjects. In the discovery stage, seven variants in four loci, three variants in three loci, and two variants in one locus were associated with the ratios of log-transformed TG:HDLC (log[TG]:HDLC, LDLC:HDLC, and non-HDLC:HDLC, respectively. The associations of the GWAS variants with lipid ratios were replicated in the validation stage: for the log[TG]:HDLC ratio, rs6589566 near APOA5 and rs4244457 and rs6586891 near LPL; for the LDLC:HDLC ratio, rs4420638 near APOC1 and rs17445774 near C2orf47; and for the non-HDLC:HDLC ratio, rs6589566 near APOA5. Five of these six variants are known to be associated with TG, LDLC, and/or HDLC, but rs17445774 was newly identified to be involved in lipid level changes in this study. Constitutional subgroup analysis revealed effects of variants associated with log[TG]:HDLC and non-HDLC:HDLC ratios in both the Tae-Eum and non-Tae-Eum types, whereas the effect of the LDLC:HDLC ratio-associated variants remained only in the Tae-Eum type. In conclusion, we identified three log[TG]:HDLC ratio

Hundreds of variants clustered in genomic loci and biological pathways affect human height

DEFF Research Database (Denmark)

Lango Allen, Hana; Estrada, Karol; Lettre, Guillaume

2010-01-01

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions...

Identification of Gene Loci That Overlap Between Schizophrenia and Educational Attainment

DEFF Research Database (Denmark)

Le Hellard, Stéphanie; Wang, Yunpeng; Witoelar, Aree

2017-01-01

. Here we investigated the shared genetic architecture between SCZ and educational attainment, which is regarded as a "proxy phenotype" for cognitive abilities, but may also reflect other traits. We applied a conditional false discovery rate (condFDR) method to GWAS of SCZ (n = 82 315), college...... completion ("College," n = 95 427), and years of education ("EduYears," n = 101 069). Variants associated with College or EduYears showed enrichment of association with SCZ, demonstrating polygenic overlap. This was confirmed by an increased replication rate in SCZ. By applying a condFDR threshold ... of these loci had effects in opposite directions. Our results provide evidence for polygenic overlap between SCZ and educational attainment, and identify novel pleiotropic loci. Other studies have reported genetic overlap between SCZ and cognition, or SCZ and educational attainment, with negative correlation...

Identification of twelve new susceptibility loci for different histotypes of epithelial ovarian cancer

Science.gov (United States)

Phelan, Catherine M.; Kuchenbaecker, Karoline B.; Tyrer, Jonathan P.; Kar, Siddhartha P.; Lawrenson, Kate; Winham, Stacey J.; Dennis, Joe; Pirie, Ailith; Riggan, Marjorie; Chornokur, Ganna; Earp, Madalene A.; Lyra, Paulo C.; Lee, Janet M.; Coetzee, Simon; Beesley, Jonathan; McGuffog, Lesley; Soucy, Penny; Dicks, Ed; Lee, Andrew; Barrowdale, Daniel; Lecarpentier, Julie; Leslie, Goska; Aalfs, Cora M.; Aben, Katja K.H.; Adams, Marcia; Adlard, Julian; Andrulis, Irene L.; Anton-Culver, Hoda; Antonenkova, Natalia; Aravantinos, Gerasimos; Arnold, Norbert; Arun, Banu K.; Arver, Brita; Azzollini, Jacopo; Balmaña, Judith; Banerjee, Susana N.; Barjhoux, Laure; Barkardottir, Rosa B.; Bean, Yukie; Beckmann, Matthias W.; Beeghly-Fadiel, Alicia; Benitez, Javier; Bermisheva, Marina; Bernardini, Marcus Q.; Birrer, Michael J.; Bjorge, Line; Black, Amanda; Blankstein, Kenneth; Blok, Marinus J.; Bodelon, Clara; Bogdanova, Natalia; Bojesen, Anders; Bonanni, Bernardo; Borg, Åke; Bradbury, Angela R.; Brenton, James D.; Brewer, Carole; Brinton, Louise; Broberg, Per; Brooks-Wilson, Angela; Bruinsma, Fiona; Brunet, Joan; Buecher, Bruno; Butzow, Ralf; Buys, Saundra S.; Caldes, Trinidad; Caligo, Maria A.; Campbell, Ian; Cannioto, Rikki; Carney, Michael E.; Cescon, Terence; Chan, Salina B.; Chang-Claude, Jenny; Chanock, Stephen; Chen, Xiao Qing; Chiew, Yoke-Eng; Chiquette, Jocelyne; Chung, Wendy K.; Claes, Kathleen B.M.; Conner, Thomas; Cook, Linda S.; Cook, Jackie; Cramer, Daniel W.; Cunningham, Julie M.; D’Aloisio, Aimee A.; Daly, Mary B.; Damiola, Francesca; Damirovna, Sakaeva Dina; Dansonka-Mieszkowska, Agnieszka; Dao, Fanny; Davidson, Rosemarie; DeFazio, Anna; Delnatte, Capucine; Doheny, Kimberly F.; Diez, Orland; Ding, Yuan Chun; Doherty, Jennifer Anne; Domchek, Susan M.; Dorfling, Cecilia M.; Dörk, Thilo; Dossus, Laure; Duran, Mercedes; Dürst, Matthias; Dworniczak, Bernd; Eccles, Diana; Edwards, Todd; Eeles, Ros; Eilber, Ursula; Ejlertsen, Bent; Ekici, Arif B.; Ellis, Steve; Elvira, Mingajeva; Eng, Kevin H.; Engel, Christoph; Evans, D. Gareth; Fasching, Peter A.; Ferguson, Sarah; Ferrer, Sandra Fert; Flanagan, James M.; Fogarty, Zachary C.; Fortner, Renée T.; Fostira, Florentia; Foulkes, William D.; Fountzilas, George; Fridley, Brooke L.; Friebel, Tara M.; Friedman, Eitan; Frost, Debra; Ganz, Patricia A.; Garber, Judy; García, María J.; Garcia-Barberan, Vanesa; Gehrig, Andrea; Gentry-Maharaj, Aleksandra; Gerdes, Anne-Marie; Giles, Graham G.; Glasspool, Rosalind; Glendon, Gord; Godwin, Andrew K.; Goldgar, David E.; Goranova, Teodora; Gore, Martin; Greene, Mark H.; Gronwald, Jacek; Gruber, Stephen; Hahnen, Eric; Haiman, Christopher A.; Håkansson, Niclas; Hamann, Ute; Hansen, Thomas V.O.; Harrington, Patricia A.; Harris, Holly R; Hauke, Jan; Hein, Alexander; Henderson, Alex; Hildebrandt, Michelle A.T.; Hillemanns, Peter; Hodgson, Shirley; Høgdall, Claus K.; Høgdall, Estrid; Hogervorst, Frans B.L.; Holland, Helene; Hooning, Maartje J.; Hosking, Karen; Huang, Ruea-Yea; Hulick, Peter J.; Hung, Jillian; Hunter, David J.; Huntsman, David G.; Huzarski, Tomasz; Imyanitov, Evgeny N.; Isaacs, Claudine; Iversen, Edwin S.; Izatt, Louise; Izquierdo, Angel; Jakubowska, Anna; James, Paul; Janavicius, Ramunas; Jernetz, Mats; Jensen, Allan; Jensen, Uffe Birk; John, Esther M.; Johnatty, Sharon; Jones, Michael E.; Kannisto, Päivi; Karlan, Beth Y.; Karnezis, Anthony; Kast, Karin; Kennedy, Catherine J.; Khusnutdinova, Elza; Kiemeney, Lambertus A.; Kiiski, Johanna I.; Kim, Sung-Won; Kjaer, Susanne K.; Köbel, Martin; Kopperud, Reidun K.; Kruse, Torben A.; Kupryjanczyk, Jolanta; Kwong, Ava; Laitman, Yael; Lambrechts, Diether; Larrañaga, Nerea; Larson, Melissa C.; Lazaro, Conxi; Le, Nhu D.; Le Marchand, Loic; Lee, Jong Won; Lele, Shashikant B.; Leminen, Arto; Leroux, Dominique; Lester, Jenny; Lesueur, Fabienne; Levine, Douglas A.; Liang, Dong; Liebrich, Clemens; Lilyquist, Jenna; Lipworth, Loren; Lissowska, Jolanta; Lu, Karen H.; Lubiński, Jan; Luccarini, Craig; Lundvall, Lene; Mai, Phuong L.; Mendoza-Fandiño, Gustavo; Manoukian, Siranoush; Massuger, Leon F.A.G.; May, Taymaa; Mazoyer, Sylvie; McAlpine, Jessica N.; McGuire, Valerie; McLaughlin, John R.; McNeish, Iain; Meijers-Heijboer, Hanne; Meindl, Alfons; Menon, Usha; Mensenkamp, Arjen R.; Merritt, Melissa A.; Milne, Roger L.; Mitchell, Gillian; Modugno, Francesmary; Moes-Sosnowska, Joanna; Moffitt, Melissa; Montagna, Marco; Moysich, Kirsten B.; Mulligan, Anna Marie; Musinsky, Jacob; Nathanson, Katherine L.; Nedergaard, Lotte; Ness, Roberta B.; Neuhausen, Susan L.; Nevanlinna, Heli; Niederacher, Dieter; Nussbaum, Robert L.; Odunsi, Kunle; Olah, Edith; Olopade, Olufunmilayo I.; Olsson, Håkan; Olswold, Curtis; O’Malley, David M.; Ong, Kai-ren; Onland-Moret, N. Charlotte; Orr, Nicholas; Orsulic, Sandra; Osorio, Ana; Palli, Domenico; Papi, Laura; Park-Simon, Tjoung-Won; Paul, James; Pearce, Celeste L.; Pedersen, Inge Søkilde; Peeters, Petra H.M.; Peissel, Bernard; Peixoto, Ana; Pejovic, Tanja; Pelttari, Liisa M.; Permuth, Jennifer B.; Peterlongo, Paolo; Pezzani, Lidia; Pfeiler, Georg; Phillips, Kelly-Anne; Piedmonte, Marion; Pike, Malcolm C.; Piskorz, Anna M.; Poblete, Samantha R.; Pocza, Timea; Poole, Elizabeth M.; Poppe, Bruce; Porteous, Mary E.; Prieur, Fabienne; Prokofyeva, Darya; Pugh, Elizabeth; Pujana, Miquel Angel; Pujol, Pascal; Radice, Paolo; Rantala, Johanna; Rappaport-Fuerhauser, Christine; Rennert, Gad; Rhiem, Kerstin; Rice, Patricia; Richardson, Andrea; Robson, Mark; Rodriguez, Gustavo C.; Rodríguez-Antona, Cristina; Romm, Jane; Rookus, Matti A.; Rossing, Mary Anne; Rothstein, Joseph H.; Rudolph, Anja; Runnebaum, Ingo B.; Salvesen, Helga B.; Sandler, Dale P.; Schoemaker, Minouk J.; Senter, Leigha; Setiawan, V. Wendy; Severi, Gianluca; Sharma, Priyanka; Shelford, Tameka; Siddiqui, Nadeem; Side, Lucy E.; Sieh, Weiva; Singer, Christian F.; Sobol, Hagay; Song, Honglin; Southey, Melissa C.; Spurdle, Amanda B.; Stadler, Zsofia; Steinemann, Doris; Stoppa-Lyonnet, Dominique; Sucheston-Campbell, Lara E.; Sukiennicki, Grzegorz; Sutphen, Rebecca; Sutter, Christian; Swerdlow, Anthony J.; Szabo, Csilla I.; Szafron, Lukasz; Tan, Yen Y.; Taylor, Jack A.; Tea, Muy-Kheng; Teixeira, Manuel R.; Teo, Soo-Hwang; Terry, Kathryn L.; Thompson, Pamela J.; Thomsen, Liv Cecilie Vestrheim; Thull, Darcy L.; Tihomirova, Laima; Tinker, Anna V.; Tischkowitz, Marc; Tognazzo, Silvia; Toland, Amanda Ewart; Tone, Alicia; Trabert, Britton; Travis, Ruth C.; Trichopoulou, Antonia; Tung, Nadine; Tworoger, Shelley S.; van Altena, Anne M.; Van Den Berg, David; van der Hout, Annemarie H.; van der Luijt, Rob B.; Van Heetvelde, Mattias; Van Nieuwenhuysen, Els; van Rensburg, Elizabeth J.; Vanderstichele, Adriaan; Varon-Mateeva, Raymonda; Ana, Vega; Edwards, Digna Velez; Vergote, Ignace; Vierkant, Robert A.; Vijai, Joseph; Vratimos, Athanassios; Walker, Lisa; Walsh, Christine; Wand, Dorothea; Wang-Gohrke, Shan; Wappenschmidt, Barbara; Webb, Penelope M.; Weinberg, Clarice R.; Weitzel, Jeffrey N.; Wentzensen, Nicolas; Whittemore, Alice S.; Wijnen, Juul T.; Wilkens, Lynne R.; Wolk, Alicja; Woo, Michelle; Wu, Xifeng; Wu, Anna H.; Yang, Hannah; Yannoukakos, Drakoulis; Ziogas, Argyrios; Zorn, Kristin K.; Narod, Steven A.; Easton, Douglas F.; Amos, Christopher I.; Schildkraut, Joellen M.; Ramus, Susan J.; Ottini, Laura; Goodman, Marc T.; Park, Sue K.; Kelemen, Linda E.; Risch, Harvey A.; Thomassen, Mads; Offit, Kenneth; Simard, Jacques; Schmutzler, Rita Katharina; Hazelett, Dennis; Monteiro, Alvaro N.; Couch, Fergus J.; Berchuck, Andrew; Chenevix-Trench, Georgia; Goode, Ellen L.; Sellers, Thomas A.; Gayther, Simon A.; Antoniou, Antonis C.; Pharoah, Paul D.P.

2017-01-01

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3, 9q31.1) and one for endometrioid EOC (5q12.3). We then meta-analysed the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified an additional three loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a novel susceptibility gene for low grade/borderline serous EOC. PMID:28346442

Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

Science.gov (United States)

Phelan, Catherine M; Kuchenbaecker, Karoline B; Tyrer, Jonathan P; Kar, Siddhartha P; Lawrenson, Kate; Winham, Stacey J; Dennis, Joe; Pirie, Ailith; Riggan, Marjorie J; Chornokur, Ganna; Earp, Madalene A; Lyra, Paulo C; Lee, Janet M; Coetzee, Simon; Beesley, Jonathan; McGuffog, Lesley; Soucy, Penny; Dicks, Ed; Lee, Andrew; Barrowdale, Daniel; Lecarpentier, Julie; Leslie, Goska; Aalfs, Cora M; Aben, Katja K H; Adams, Marcia; Adlard, Julian; Andrulis, Irene L; Anton-Culver, Hoda; Antonenkova, Natalia; Aravantinos, Gerasimos; Arnold, Norbert; Arun, Banu K; Arver, Brita; Azzollini, Jacopo; Balmaña, Judith; Banerjee, Susana N; Barjhoux, Laure; Barkardottir, Rosa B; Bean, Yukie; Beckmann, Matthias W; Beeghly-Fadiel, Alicia; Benitez, Javier; Bermisheva, Marina; Bernardini, Marcus Q; Birrer, Michael J; Bjorge, Line; Black, Amanda; Blankstein, Kenneth; Blok, Marinus J; Bodelon, Clara; Bogdanova, Natalia; Bojesen, Anders; Bonanni, Bernardo; Borg, Åke; Bradbury, Angela R; Brenton, James D; Brewer, Carole; Brinton, Louise; Broberg, Per; Brooks-Wilson, Angela; Bruinsma, Fiona; Brunet, Joan; Buecher, Bruno; Butzow, Ralf; Buys, Saundra S; Caldes, Trinidad; Caligo, Maria A; Campbell, Ian; Cannioto, Rikki; Carney, Michael E; Cescon, Terence; Chan, Salina B; Chang-Claude, Jenny; Chanock, Stephen; Chen, Xiao Qing; Chiew, Yoke-Eng; Chiquette, Jocelyne; Chung, Wendy K; Claes, Kathleen B M; Conner, Thomas; Cook, Linda S; Cook, Jackie; Cramer, Daniel W; Cunningham, Julie M; D'Aloisio, Aimee A; Daly, Mary B; Damiola, Francesca; Damirovna, Sakaeva Dina; Dansonka-Mieszkowska, Agnieszka; Dao, Fanny; Davidson, Rosemarie; DeFazio, Anna; Delnatte, Capucine; Doheny, Kimberly F; Diez, Orland; Ding, Yuan Chun; Doherty, Jennifer Anne; Domchek, Susan M; Dorfling, Cecilia M; Dörk, Thilo; Dossus, Laure; Duran, Mercedes; Dürst, Matthias; Dworniczak, Bernd; Eccles, Diana; Edwards, Todd; Eeles, Ros; Eilber, Ursula; Ejlertsen, Bent; Ekici, Arif B; Ellis, Steve; Elvira, Mingajeva; Eng, Kevin H; Engel, Christoph; Evans, D Gareth; Fasching, Peter A; Ferguson, Sarah; Ferrer, Sandra Fert; Flanagan, James M; Fogarty, Zachary C; Fortner, Renée T; Fostira, Florentia; Foulkes, William D; Fountzilas, George; Fridley, Brooke L; Friebel, Tara M; Friedman, Eitan; Frost, Debra; Ganz, Patricia A; Garber, Judy; García, María J; Garcia-Barberan, Vanesa; Gehrig, Andrea; Gentry-Maharaj, Aleksandra; Gerdes, Anne-Marie; Giles, Graham G; Glasspool, Rosalind; Glendon, Gord; Godwin, Andrew K; Goldgar, David E; Goranova, Teodora; Gore, Martin; Greene, Mark H; Gronwald, Jacek; Gruber, Stephen; Hahnen, Eric; Haiman, Christopher A; Håkansson, Niclas; Hamann, Ute; Hansen, Thomas V O; Harrington, Patricia A; Harris, Holly R; Hauke, Jan; Hein, Alexander; Henderson, Alex; Hildebrandt, Michelle A T; Hillemanns, Peter; Hodgson, Shirley; Høgdall, Claus K; Høgdall, Estrid; Hogervorst, Frans B L; Holland, Helene; Hooning, Maartje J; Hosking, Karen; Huang, Ruea-Yea; Hulick, Peter J; Hung, Jillian; Hunter, David J; Huntsman, David G; Huzarski, Tomasz; Imyanitov, Evgeny N; Isaacs, Claudine; Iversen, Edwin S; Izatt, Louise; Izquierdo, Angel; Jakubowska, Anna; James, Paul; Janavicius, Ramunas; Jernetz, Mats; Jensen, Allan; Jensen, Uffe Birk; John, Esther M; Johnatty, Sharon; Jones, Michael E; Kannisto, Päivi; Karlan, Beth Y; Karnezis, Anthony; Kast, Karin; Kennedy, Catherine J; Khusnutdinova, Elza; Kiemeney, Lambertus A; Kiiski, Johanna I; Kim, Sung-Won; Kjaer, Susanne K; Köbel, Martin; Kopperud, Reidun K; Kruse, Torben A; Kupryjanczyk, Jolanta; Kwong, Ava; Laitman, Yael; Lambrechts, Diether; Larrañaga, Nerea; Larson, Melissa C; Lazaro, Conxi; Le, Nhu D; Le Marchand, Loic; Lee, Jong Won; Lele, Shashikant B; Leminen, Arto; Leroux, Dominique; Lester, Jenny; Lesueur, Fabienne; Levine, Douglas A; Liang, Dong; Liebrich, Clemens; Lilyquist, Jenna; Lipworth, Loren; Lissowska, Jolanta; Lu, Karen H; Lubinński, Jan; Luccarini, Craig; Lundvall, Lene; Mai, Phuong L; Mendoza-Fandiño, Gustavo; Manoukian, Siranoush; Massuger, Leon F A G; May, Taymaa; Mazoyer, Sylvie; McAlpine, Jessica N; McGuire, Valerie; McLaughlin, John R; McNeish, Iain; Meijers-Heijboer, Hanne; Meindl, Alfons; Menon, Usha; Mensenkamp, Arjen R; Merritt, Melissa A; Milne, Roger L; Mitchell, Gillian; Modugno, Francesmary; Moes-Sosnowska, Joanna; Moffitt, Melissa; Montagna, Marco; Moysich, Kirsten B; Mulligan, Anna Marie; Musinsky, Jacob; Nathanson, Katherine L; Nedergaard, Lotte; Ness, Roberta B; Neuhausen, Susan L; Nevanlinna, Heli; Niederacher, Dieter; Nussbaum, Robert L; Odunsi, Kunle; Olah, Edith; Olopade, Olufunmilayo I; Olsson, Håkan; Olswold, Curtis; O'Malley, David M; Ong, Kai-Ren; Onland-Moret, N Charlotte; Orr, Nicholas; Orsulic, Sandra; Osorio, Ana; Palli, Domenico; Papi, Laura; Park-Simon, Tjoung-Won; Paul, James; Pearce, Celeste L; Pedersen, Inge Søkilde; Peeters, Petra H M; Peissel, Bernard; Peixoto, Ana; Pejovic, Tanja; Pelttari, Liisa M; Permuth, Jennifer B; Peterlongo, Paolo; Pezzani, Lidia; Pfeiler, Georg; Phillips, Kelly-Anne; Piedmonte, Marion; Pike, Malcolm C; Piskorz, Anna M; Poblete, Samantha R; Pocza, Timea; Poole, Elizabeth M; Poppe, Bruce; Porteous, Mary E; Prieur, Fabienne; Prokofyeva, Darya; Pugh, Elizabeth; Pujana, Miquel Angel; Pujol, Pascal; Radice, Paolo; Rantala, Johanna; Rappaport-Fuerhauser, Christine; Rennert, Gad; Rhiem, Kerstin; Rice, Patricia; Richardson, Andrea; Robson, Mark; Rodriguez, Gustavo C; Rodríguez-Antona, Cristina; Romm, Jane; Rookus, Matti A; Rossing, Mary Anne; Rothstein, Joseph H; Rudolph, Anja; Runnebaum, Ingo B; Salvesen, Helga B; Sandler, Dale P; Schoemaker, Minouk J; Senter, Leigha; Setiawan, V Wendy; Severi, Gianluca; Sharma, Priyanka; Shelford, Tameka; Siddiqui, Nadeem; Side, Lucy E; Sieh, Weiva; Singer, Christian F; Sobol, Hagay; Song, Honglin; Southey, Melissa C; Spurdle, Amanda B; Stadler, Zsofia; Steinemann, Doris; Stoppa-Lyonnet, Dominique; Sucheston-Campbell, Lara E; Sukiennicki, Grzegorz; Sutphen, Rebecca; Sutter, Christian; Swerdlow, Anthony J; Szabo, Csilla I; Szafron, Lukasz; Tan, Yen Y; Taylor, Jack A; Tea, Muy-Kheng; Teixeira, Manuel R; Teo, Soo-Hwang; Terry, Kathryn L; Thompson, Pamela J; Thomsen, Liv Cecilie Vestrheim; Thull, Darcy L; Tihomirova, Laima; Tinker, Anna V; Tischkowitz, Marc; Tognazzo, Silvia; Toland, Amanda Ewart; Tone, Alicia; Trabert, Britton; Travis, Ruth C; Trichopoulou, Antonia; Tung, Nadine; Tworoger, Shelley S; van Altena, Anne M; Van Den Berg, David; van der Hout, Annemarie H; van der Luijt, Rob B; Van Heetvelde, Mattias; Van Nieuwenhuysen, Els; van Rensburg, Elizabeth J; Vanderstichele, Adriaan; Varon-Mateeva, Raymonda; Vega, Ana; Edwards, Digna Velez; Vergote, Ignace; Vierkant, Robert A; Vijai, Joseph; Vratimos, Athanassios; Walker, Lisa; Walsh, Christine; Wand, Dorothea; Wang-Gohrke, Shan; Wappenschmidt, Barbara; Webb, Penelope M; Weinberg, Clarice R; Weitzel, Jeffrey N; Wentzensen, Nicolas; Whittemore, Alice S; Wijnen, Juul T; Wilkens, Lynne R; Wolk, Alicja; Woo, Michelle; Wu, Xifeng; Wu, Anna H; Yang, Hannah; Yannoukakos, Drakoulis; Ziogas, Argyrios; Zorn, Kristin K; Narod, Steven A; Easton, Douglas F; Amos, Christopher I; Schildkraut, Joellen M; Ramus, Susan J; Ottini, Laura; Goodman, Marc T; Park, Sue K; Kelemen, Linda E; Risch, Harvey A; Thomassen, Mads; Offit, Kenneth; Simard, Jacques; Schmutzler, Rita Katharina; Hazelett, Dennis; Monteiro, Alvaro N; Couch, Fergus J; Berchuck, Andrew; Chenevix-Trench, Georgia; Goode, Ellen L; Sellers, Thomas A; Gayther, Simon A; Antoniou, Antonis C; Pharoah, Paul D P

2017-05-01

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

Alzheimer's Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci.

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Celeste M Karch

Full Text Available Late onset Alzheimer's disease (LOAD is a genetically complex and clinically heterogeneous disease. Recent large-scale genome wide association studies (GWAS have identified more than twenty loci that modify risk for AD. Despite the identification of these loci, little progress has been made in identifying the functional variants that explain the association with AD risk. Thus, we sought to determine whether the novel LOAD GWAS single nucleotide polymorphisms (SNPs alter expression of LOAD GWAS genes and whether expression of these genes is altered in AD brains. The majority of LOAD GWAS SNPs occur in gene dense regions under large linkage disequilibrium (LD blocks, making it unclear which gene(s are modified by the SNP. Thus, we tested for brain expression quantitative trait loci (eQTLs between LOAD GWAS SNPs and SNPs in high LD with the LOAD GWAS SNPs in all of the genes within the GWAS loci. We found a significant eQTL between rs1476679 and PILRB and GATS, which occurs within the ZCWPW1 locus. PILRB and GATS expression levels, within the ZCWPW1 locus, were also associated with AD status. Rs7120548 was associated with MTCH2 expression, which occurs within the CELF1 locus. Additionally, expression of several genes within the CELF1 locus, including MTCH2, were highly correlated with one another and were associated with AD status. We further demonstrate that PILRB, as well as other genes within the GWAS loci, are most highly expressed in microglia. These findings together with the function of PILRB as a DAP12 receptor supports the critical role of microglia and neuroinflammation in AD risk.

Rheumatoid arthritis: identifying and characterising polymorphisms using rat models

Science.gov (United States)

2016-01-01

ABSTRACT Rheumatoid arthritis is a chronic inflammatory joint disorder characterised by erosive inflammation of the articular cartilage and by destruction of the synovial joints. It is regulated by both genetic and environmental factors, and, currently, there is no preventative treatment or cure for this disease. Genome-wide association studies have identified ∼100 new loci associated with rheumatoid arthritis, in addition to the already known locus within the major histocompatibility complex II region. However, together, these loci account for only a modest fraction of the genetic variance associated with this disease and very little is known about the pathogenic roles of most of the risk loci identified. Here, we discuss how rat models of rheumatoid arthritis are being used to detect quantitative trait loci that regulate different arthritic traits by genetic linkage analysis and to positionally clone the underlying causative genes using congenic strains. By isolating specific loci on a fixed genetic background, congenic strains overcome the challenges of genetic heterogeneity and environmental interactions associated with human studies. Most importantly, congenic strains allow functional experimental studies be performed to investigate the pathological consequences of natural genetic polymorphisms, as illustrated by the discovery of several major disease genes that contribute to arthritis in rats. We discuss how these advances have provided new biological insights into arthritis in humans. PMID:27736747

Prospective associations of coronary heart disease loci in African Americans using the MetaboChip: the PAGE study.

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Nora Franceschini

Full Text Available Coronary heart disease (CHD is a leading cause of morbidity and mortality in African Americans. However, there is a paucity of studies assessing genetic determinants of CHD in African Americans. We examined the association of published variants in CHD loci with incident CHD, attempted to fine map these loci, and characterize novel variants influencing CHD risk in African Americans.Up to 8,201 African Americans (including 546 first CHD events were genotyped using the MetaboChip array in the Atherosclerosis Risk in Communities (ARIC study and Women's Health Initiative (WHI. We tested associations using Cox proportional hazard models in sex- and study-stratified analyses and combined results using meta-analysis. Among 44 validated CHD loci available in the array, we replicated and fine-mapped the SORT1 locus, and showed same direction of effects as reported in studies of individuals of European ancestry for SNPs in 22 additional published loci. We also identified a SNP achieving array wide significance (MYC: rs2070583, allele frequency 0.02, P = 8.1 × 10(-8, but the association did not replicate in an additional 8,059 African Americans (577 events from the WHI, HealthABC and GeneSTAR studies, and in a meta-analysis of 5 cohort studies of European ancestry (24,024 individuals including 1,570 cases of MI and 2,406 cases of CHD from the CHARGE Consortium.Our findings suggest that some CHD loci previously identified in individuals of European ancestry may be relevant to incident CHD in African Americans.

Network-based group variable selection for detecting expression quantitative trait loci (eQTL

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Zhang Xuegong

2011-06-01

Full Text Available Abstract Background Analysis of expression quantitative trait loci (eQTL aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data. Its performance should be enhanced when we incorporate biological knowledge of gene expression network and linkage disequilibrium (LD structure between loci in high-noise background. Results We propose a network-based group variable selection (NGVS method for QTL detection. Our method simultaneously maps highly correlated expression traits sharing the same biological function to marker sets formed by LD. By grouping markers, complex joint activity of multiple SNPs can be considered and the dimensionality of eQTL problem is reduced dramatically. In order to demonstrate the power and flexibility of our method, we used it to analyze two simulations and a mouse obesity and diabetes dataset. We considered the gene co-expression network, grouped markers into marker sets and treated the additive and dominant effect of each locus as a group: as a consequence, we were able to replicate results previously obtained on the mouse linkage dataset. Furthermore, we observed several possible sex-dependent loci and interactions of multiple SNPs. Conclusions The proposed NGVS method is appropriate for problems with high-dimensional data and high-noise background. On eQTL problem it outperforms the classical Lasso method, which does not consider biological knowledge. Introduction of proper gene expression and loci correlation information makes detecting causal markers more accurate. With reasonable model settings, NGVS can lead to novel biological findings.

Genetic evidence of multiple loci in dystocia - difficult labour

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Westgren Magnus

2010-06-01

Full Text Available Abstract Background Dystocia, difficult labour, is a common but also complex problem during childbirth. It can be attributed to either weak contractions of the uterus, a large infant, reduced capacity of the pelvis or combinations of these. Previous studies have indicated that there is a genetic component in the susceptibility of experiencing dystocia. The purpose of this study was to identify susceptibility genes in dystocia. Methods A total of 104 women in 47 families were included where at least two sisters had undergone caesarean section at a gestational length of 286 days or more at their first delivery. Study of medical records and a telephone interview was performed to identify subjects with dystocia. Whole-genome scanning using Affymetrix genotyping-arrays and non-parametric linkage (NPL analysis was made in 39 women exhibiting the phenotype of dystocia from 19 families. In 68 women re-sequencing was performed of candidate genes showing suggestive linkage: oxytocin (OXT on chromosome 20 and oxytocin-receptor (OXTR on chromosome 3. Results We found a trend towards linkage with suggestive NPL-score (3.15 on chromosome 12p12. Suggestive linkage peaks were observed on chromosomes 3, 4, 6, 10, 20. Re-sequencing of OXT and OXTR did not reveal any causal variants. Conclusions Dystocia is likely to have a genetic component with variations in multiple genes affecting the patient outcome. We found 6 loci that could be re-evaluated in larger patient cohorts.

Genetic evidence of multiple loci in dystocia - difficult labour

Science.gov (United States)

2010-01-01

Background Dystocia, difficult labour, is a common but also complex problem during childbirth. It can be attributed to either weak contractions of the uterus, a large infant, reduced capacity of the pelvis or combinations of these. Previous studies have indicated that there is a genetic component in the susceptibility of experiencing dystocia. The purpose of this study was to identify susceptibility genes in dystocia. Methods A total of 104 women in 47 families were included where at least two sisters had undergone caesarean section at a gestational length of 286 days or more at their first delivery. Study of medical records and a telephone interview was performed to identify subjects with dystocia. Whole-genome scanning using Affymetrix genotyping-arrays and non-parametric linkage (NPL) analysis was made in 39 women exhibiting the phenotype of dystocia from 19 families. In 68 women re-sequencing was performed of candidate genes showing suggestive linkage: oxytocin (OXT) on chromosome 20 and oxytocin-receptor (OXTR) on chromosome 3. Results We found a trend towards linkage with suggestive NPL-score (3.15) on chromosome 12p12. Suggestive linkage peaks were observed on chromosomes 3, 4, 6, 10, 20. Re-sequencing of OXT and OXTR did not reveal any causal variants. Conclusions Dystocia is likely to have a genetic component with variations in multiple genes affecting the patient outcome. We found 6 loci that could be re-evaluated in larger patient cohorts. PMID:20587075

FISH mapping of microsatellite loci from Drosophila subobscura and its comparison to related species.

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Santos, Josiane; Serra, Lluis; Solé, Elisabet; Pascual, Marta

2010-02-01

Microsatellites are highly polymorphic markers that are distributed through all the genome being more abundant in non-coding regions. Whether they are neutral or under selection, these markers if localized can be used as co-dominant molecular markers to explore the dynamics of the evolutionary processes. Their cytological localization can allow identifying genes under selection, inferring recombination from a genomic point of view, or screening for the genomic reorganizations occurring during the evolution of a lineage, among others. In this paper, we report for the first time the localization of microsatellite loci by fluorescent in situ hybridization on Drosophila polytene chromosomes. In Drosophila subobscura, 72 dinucleotide microsatellite loci were localized by fluorescent in situ hybridization yielding unique hybridization signals. In the sex chromosome, microsatellite distribution was not uniform and its density was higher than in autosomes. We identified homologous segments to the sequence flanking the microsatellite loci by browsing the genome sequence of Drosophila pseudoobscura and Drosophila melanogaster. Their localization supports the conservation of Muller's chromosomal elements among Drosophila species and the existence of multiple intrachromosomal rearrangements within each evolutionary lineage. Finally, the lack of microsatellite repeats in the homologous D. melanogaster sequences suggests convergent evolution for high microsatellite density in the distal part of the X chromosome.

Hundreds of variants clustered in genomic loci and biological pathways affect human height

NARCIS (Netherlands)

H.L. Allen; K. Estrada Gil (Karol); G. Lettre (Guillaume); S.I. Berndt (Sonja); F. Rivadeneira Ramirez (Fernando); C.J. Willer (Cristen); A.U. Jackson (Anne); S. Vedantam (Sailaja); S. Raychaudhuri (Soumya); T. Ferreira (Teresa); A.R. Wood (Andrew); R.J. Weyant (Robert); A.V. Segrè (Ayellet); E.K. Speliotes (Elizabeth); E. Wheeler (Eleanor); N. Soranzo (Nicole); J.H. Park; J. Yang (Joanna); D.F. Gudbjartsson (Daniel); N.L. Heard-Costa (Nancy); J.C. Randall (Joshua); L. Qi (Lu); A.V. Smith (Albert Vernon); R. Mägi (Reedik); T. Pastinen (Tomi); L. Liang (Liming); I.M. Heid (Iris); J. Luan; G. Thorleifsson (Gudmar); T.W. Winkler (Thomas); M.E. Goddard (Michael); K.S. Lo; C. Palmer (Cameron); T. Workalemahu (Tsegaselassie); Y.S. Aulchenko (Yurii); A. Johansson (Åsa); M.C. Zillikens (Carola); M.F. Feitosa (Mary Furlan); T. Esko (Tõnu); T. Johnson (Toby); S. Ketkar (Shamika); P. Kraft (Peter); M. Mangino (Massimo); I. Prokopenko (Inga); D. Absher (Devin); E. Albrecht (Eva); F.D.J. Ernst (Florian); N.L. Glazer (Nicole); C. Hayward (Caroline); J.J. Hottenga (Jouke Jan); K.B. Jacobs (Kevin); J.W. Knowles (Joshua); Z. Kutalik (Zoltán); K.L. Monda (Keri); O. Polasek (Ozren); M. Preuss (Michael); N.W. Rayner (Nigel William); N.R. Robertson (Neil); V. Steinthorsdottir (Valgerdur); J.P. Tyrer (Jonathan); B.F. Voight (Benjamin); F. Wiklund (Fredrik); J. Xu (Jianfeng); J.H. Zhao (Jing Hua); D.R. Nyholt (Dale); N. Pellikka (Niina); M. Perola (Markus); J.R.B. Perry (John); I. Surakka (Ida); M.L. Tammesoo; E.L. Altmaier (Elizabeth); N. Amin (Najaf); T. Aspelund (Thor); T. Bhangale (Tushar); G. Boucher (Gabrielle); D.I. Chasman (Daniel); C. Chen (Constance); L. Coin (Lachlan); M.N. Cooper (Matthew); A.L. Dixon (Anna); Q. Gibson (Quince); E. Grundberg (Elin); K. Hao (Ke); M.J. Junttila (Juhani); R.C. Kaplan (Robert); J. Kettunen (Johannes); I.R. König (Inke); T. Kwan (Tony); R.W. Lawrence (Robert); D.F. Levinson (Douglas); M. Lorentzon (Mattias); B. McKnight (Barbara); A.D. Morris (Andrew); M. Müller (Martina); J.S. Ngwa; S. Purcell (Shaun); S. Rafelt (Suzanne); R.M. Salem (Rany); E. Salvi (Erika); S. Sanna (Serena); J. Shi (Jianxin); U. Sovio (Ulla); J.R. Thompson (John); M.C. Turchin (Michael); L. Vandenput (Liesbeth); D.J. Verlaan (Dominique); V. Vitart (Veronique); C.C. White (Charles); A. Ziegler (Andreas); P. Almgren (Peter); A.J. Balmforth (Anthony); H. Campbell (Harry); L. Citterio (Lorena); A. de Grandi (Alessandro); A. Dominiczak (Anna); J. Duan (Jubao); P. Elliott (Paul); R. Elosua (Roberto); J.G. Eriksson (Johan); N.B. Freimer (Nelson); E.J.C. de Geus (Eco); N. Glorioso (Nicola); S. Haiqing (Shen); A.L. Hartikainen; A.S. Havulinna (Aki); A.A. Hicks (Andrew); J. Hui (Jennie); W. Igl (Wilmar); T. Illig (Thomas); A. Jula (Antti); E. Kajantie (Eero); T.O. Kilpeläinen (Tuomas); M. Koiranen (Markku); I. Kolcic (Ivana); S. Koskinen (Seppo); P. Kovacs (Peter); J. Laitinen (Jaana); J. Liu (Jianjun); M.L. Lokki; A. Marusic (Ana); A. Maschio; T. Meitinger (Thomas); A. Mulas (Antonella); G. Paré (Guillaume); A.N. Parker (Alex); J. Peden (John); A. Petersmann (Astrid); I. Pichler (Irene); K.H. Pietilainen (Kirsi Hannele); A. Pouta (Anneli); M. Ridderstråle (Martin); J.I. Rotter (Jerome); J.G. Sambrook (Jennifer); A.R. Sanders (Alan); C.O. Schmidt (Carsten Oliver); J. Sinisalo (Juha); J.H. Smit (Jan); H.M. Stringham (Heather); G.B. Walters (Bragi); E. Widen (Elisabeth); S.H. Wild (Sarah); G.A.H.M. Willemsen (Gonneke); L. Zagato (Laura); L. Zgaga (Lina); P. Zitting (Paavo); H. Alavere (Helene); M. Farrall (Martin); W.L. McArdle (Wendy); M. Nelis (Mari); M.J. Peters (Marjolein); S. Ripatti (Samuli); J.B.J. van Meurs (Joyce); K.K.H. Aben (Katja); J.S. Beckmann (Jacques); J.P. Beilby (John); R.N. Bergman (Richard); S.M. Bergmann (Sven); F.S. Collins (Francis); D. Cusi (Daniele); M. den Heijer (Martin); G. Eiriksdottir (Gudny); P.V. Gejman (Pablo); A.S. Hall (Alistair); A. Hamsten (Anders); H.V. Huikuri (Heikki); C. Iribarren (Carlos); M. Kähönen (Mika); J. Kaprio (Jaakko); S. Kathiresan (Sekar); L.A.L.M. Kiemeney (Bart); T. Kocher (Thomas); L.J. Launer (Lenore); T. Lehtimäki (Terho); O. Melander (Olle); T.H. Mosley (Thomas); A.W. Musk (Arthur); M.S. Nieminen (Markku); C.J. O'Donnell (Christopher); C. Ohlsson (Claes); B.A. Oostra (Ben); O. Raitakari (Olli); P.M. Ridker (Paul); J.D. Rioux (John); A. Rissanen (Aila); C. Rivolta (Carlo); H. Schunkert (Heribert); A.R. Shuldiner (Alan); D.S. Siscovick (David); M. Stumvoll (Michael); A. Tönjes (Anke); J. Tuomilehto (Jaakko); G.J. van Ommen (Gert); J. Viikari (Jorma); A.C. Heath (Andrew); N.G. Martin (Nicholas); G.W. Montgomery (Grant); M.A. Province (Mike); M.H. Kayser (Manfred); A.M. Arnold (Alice); L.D. Atwood (Larry); E.A. Boerwinkle (Eric); S.J. Chanock (Stephen); P. Deloukas (Panagiotis); C. Gieger (Christian); H. Grönberg (Henrik); A.T. Hattersley (Andrew); C. Hengstenberg (Christian); W. Hoffman (Wolfgang); G.M. Lathrop (Mark); V. Salomaa (Veikko); S. Schreiber (Stefan); M. Uda (Manuela); D. Waterworth (Dawn); A.F. Wright (Alan); T.L. Assimes (Themistocles); I.E. Barroso (Inês); A. Hofman (Albert); K.L. Mohlke (Karen); D.I. Boomsma (Dorret); M. Caulfield (Mark); L.A. Cupples (Adrienne); C.S. Fox (Caroline); V. Gudnason (Vilmundur); U. Gyllensten (Ulf); T.B. Harris (Tamara); R.B. Hayes (Richard); M.R. Järvelin; V. Mooser (Vincent); P. Munroe (Patricia); W.H. Ouwehand (Willem); B.W.J.H. Penninx (Brenda); P.P. Pramstaller (Peter Paul); T. Quertermous (Thomas); I. Rudan (Igor); N.J. Samani (Nilesh); T.D. Spector (Timothy); H. Völzke (Henry); H. Watkins (Hugh); J.F. Wilson (James); L. Groop (Leif); T. Haritunians (Talin); F.B. Hu (Frank); A. Metspalu (Andres); K.E. North (Kari); D. Schlessinger; N.J. Wareham (Nick); D.J. Hunter (David); J.R. O´Connell; D.P. Strachan (David); H.E. Wichmann (Heinz Erich); I.B. Borecki (Ingrid); C.M. van Duijn (Cornelia); E.E. Schadt (Eric); U. Thorsteinsdottir (Unnur); L. Peltonen (Leena Johanna); A.G. Uitterlinden (André); P.M. Visscher (Peter); N. Chatterjee (Nilanjan); J. Erdmann (Jeanette); R.J.F. Loos (Ruth); M. Boehnke (Michael); M.I. McCarthy (Mark); E. Ingelsson (Erik); C.M. Lindgren (Cecilia); G.R. Abecasis (Gonçalo); K. Stefansson (Kari); T.M. Frayling (Timothy); J.N. Hirschhorn (Joel); K.G. Ardlie (Kristin); M.N. Weedon (Michael)

2010-01-01

textabstractMost common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits1, but these typically explain small

Hundreds of variants clustered in genomic loci and biological pathways affect human height

NARCIS (Netherlands)

Allen, Hana Lango; Estrada, Karol; Lettre, Guillaume; Berndt, Sonja I.; Weedon, Michael N.; Rivadeneira, Fernando; Willer, Cristen J.; Jackson, Anne U.; Vedantam, Sailaja; Raychaudhuri, Soumya; Ferreira, Teresa; Wood, Andrew R.; Weyant, Robert J.; Segre, Ayellet V.; Speliotes, Elizabeth K.; Wheeler, Eleanor; Soranzo, Nicole; Park, Ju-Hyun; Yang, Jian; Gudbjartsson, Daniel; Heard-Costa, Nancy L.; Randall, Joshua C.; Qi, Lu; Smith, Albert Vernon; Maegi, Reedik; Pastinen, Tomi; Liang, Liming; Heid, Iris M.; Luan, Jian'an; Thorleifsson, Gudmar; Winkler, Thomas W.; Goddard, Michael E.; Lo, Ken Sin; Palmer, Cameron; Workalemahu, Tsegaselassie; Aulchenko, Yurii S.; Johansson, Asa; Zillikens, M. Carola; Feitosa, Mary F.; Esko, Tonu; Johnson, Toby; Ketkar, Shamika; Kraft, Peter; Mangino, Massimo; Prokopenko, Inga; Absher, Devin; Albrecht, Eva; Ernst, Florian; Zhao, Jing Hua; Chen, Constance

2010-01-01

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits(1), but these typically explain small fractions

Identification of seven loci affecting mean telomere length and their association with disease

NARCIS (Netherlands)

Codd, V.; Nelson, C.P.; Albrecht, E.; Mangino, M.; Deelen, J.; Buxton, J.L.; Hottenga, J.J.; Fischer, K.; Esko, T.; Surakka, I.; Broer, L.; Nyholt, DR; Mateo Leach, I.; Salo, P.; Hägg, S.; Matthews, M.K.; Palmen, J.; Norata, G.D.; O'Reilly, P.F.; Saleheen, D.; Amin, N.; Balmforth, A.J.; Beekman, M.; de Boer, R.A.; Böhringer, S.; Braund, P.S.; Burton, P.R.; de Craen, A.J.; Denniff, M.; Dong, Y.; Douroudis, K.; Dubinina, E.; Eriksson, J.G.; Garlaschelli, K.; Guo, D.; Hartikainen, A.L.; Henders, A.K.; Houwing-Duistermaat, J.J.; Kananen, L.; Karssen, L.C.; Kettunen, J.; Klopp, N.; Lagou, V.; van Leeuwen, E.; Madden, P.A.; Mägi, R.; Magnusson, P.K.E.; Männistö, S.; McCarthy, M.I.; Medland, S.E.; Mihailov, E.; Montgomery, G.W.; Oostra, B.A.; Palotie, A.; Peters, A.; Pollard, H.; Pouta, A.; Prokopenko, I.; Ripatti, S.; Salomaa, V.; Suchiman, H.E.D.; Valdes, A.M.; Verweij, N.; Viñuela, A.; Wang, X.; Wichmann, H. E.; Widen, E.; Willemsen, G.; Wright, M.J.; Xia, K.; Xiao, X.; van Veldhuisen, D.J.; Catapano, A.L.; Tobin, M.D.; Hall, A.S.; Blakemore, A.I.F.; van Gilst, W.H.; Zhu, H.; Erdmann, J.; Reilly, M.P.; Kathiresan, S.; Schunkert, H.; Talmud, P.J.; Pedersen, N.L.; Perola, M.; Ouwehand, W.; Kaprio, J.; Martin, N.G.; van Duijn, C.M.; Hovatta, I.; Gieger, C.; Metspalu, A.; Boomsma, D.I.; Järvelin, M.R.; Slagboom, P.E.; Thompson, J.R.; Spector, T.D.; van der Harst, P.; Samani, N.J.

2013-01-01

Interindividual variation in mean leukocyte telomere length (LTL) is associated with cancer and several age-associated diseases. We report here a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals. We identified seven loci,

Identification of seven loci affecting mean telomere length and their association with disease

NARCIS (Netherlands)

Codd, Veryan; Nelson, Christopher P.; Albrecht, Eva; Mangino, Massimo; Deelen, Joris; Buxton, Jessica L.; Hottenga, Jouke Jan; Fischer, Krista; Esko, Tonu; Surakka, Ida; Broer, Linda; Nyholt, Dale R.; Mateo Leach, Irene; Salo, Perttu; Hagg, Sara; Matthews, Mary K.; Palmen, Jutta; Norata, Giuseppe D.; O'Reilly, Paul F.; Saleheen, Danish; Amin, Najaf; Balmforth, Anthony J.; Beekman, Marian; de Boer, Rudolf A.; Bohringer, Stefan; Braund, Peter S.; Burton, Paul R.; de Craen, Anton J. M.; Denniff, Matthew; Dong, Yanbin; Douroudis, Konstantinos; Dubinina, Elena; Eriksson, Johan G.; Garlaschelli, Katia; Guo, Dehuang; Hartikainen, Anna-Liisa; Henders, Anjali K.; Houwing-Duistermaat, Jeanine J.; Kananen, Laura; Karssen, Lennart C.; Kettunen, Johannes; Klopp, Norman; Lagou, Vasiliki; van Leeuwen, Elisabeth M.; Madden, Pamela A.; Maegi, Reedik; Verweij, Niek; van Veldhuisen, Dirk J.; van Gilst, Wiek H.; van der Harst, Pim

Interindividual variation in mean leukocyte telomere length (LTL) is associated with cancer and several age-associated diseases. We report here a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals. We identified seven loci,

iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies

Directory of Open Access Journals (Sweden)

Piriyapongsa Jittima

2012-12-01

Full Text Available Abstract Background Genome-wide association studies (GWAS do not provide a full account of the heritability of genetic diseases since gene-gene interactions, also known as epistasis are not considered in single locus GWAS. To address this problem, a considerable number of methods have been developed for identifying disease-associated gene-gene interactions. However, these methods typically fail to identify interacting markers explaining more of the disease heritability over single locus GWAS, since many of the interactions significant for disease are obscured by uninformative marker interactions e.g., linkage disequilibrium (LD. Results In this study, we present a novel SNP interaction prioritization algorithm, named iLOCi (Interacting Loci. This algorithm accounts for marker dependencies separately in case and control groups. Disease-associated interactions are then prioritized according to a novel ranking score calculated from the difference in marker dependencies for every possible pair between case and control groups. The analysis of a typical GWAS dataset can be completed in less than a day on a standard workstation with parallel processing capability. The proposed framework was validated using simulated data and applied to real GWAS datasets using the Wellcome Trust Case Control Consortium (WTCCC data. The results from simulated data showed the ability of iLOCi to identify various types of gene-gene interactions, especially for high-order interaction. From the WTCCC data, we found that among the top ranked interacting SNP pairs, several mapped to genes previously known to be associated with disease, and interestingly, other previously unreported genes with biologically related roles. Conclusion iLOCi is a powerful tool for uncovering true disease interacting markers and thus can provide a more complete understanding of the genetic basis underlying complex disease. The program is available for download at http://www4a.biotec.or.th/GI/tools/iloci.

Intrinsic, identified, and controlled types of motivation for school subjects in young elementary school children.

Science.gov (United States)

Guay, Frédéric; Chanal, Julien; Ratelle, Catherine F; Marsh, Herbert W; Larose, Simon; Boivin, Michel

2010-12-01

There are two approaches to the differential examination of school motivation. The first is to examine motivation towards specific school subjects (between school subject differentiation). The second is to examine school motivation as a multidimensional concept that varies in terms of not only intensity but also quality (within school subject differentiation). These two differential approaches have led to important discoveries and provided a better understanding of student motivational dynamics. However, little research has combined these two approaches. This study examines young elementary students' motivations across school subjects (writing, reading, and maths) from the stance of self-determination theory. First, we tested whether children self-report different levels of intrinsic, identified, and controlled motivation towards specific school subjects. Second, we verified whether children self-report differentiated types of motivation across school subjects. Participants were 425 French-Canadian children (225 girls, 200 boys) from three elementary schools. Children were in Grades 1 (N=121), 2 (N=126), and 3 (N=178). Results show that, for a given school subject, young elementary students self-report different levels of intrinsic, identified, and controlled motivation. Results also indicate that children self-report different levels of motivation types across school subjects. Our findings also show that most differentiation effects increase across grades. Some gender effects were also observed. These results highlight the importance of distinguishing among types of school motivation towards specific school subjects in the early elementary years.

Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

NARCIS (Netherlands)

N. Kato (Norihiro); M. Loh (Marie); F. Takeuchi (Fumihiko); N. Verweij (Niek); X. Wang (Xu); W. Zhang (Weihua); T. NKelly (Tanika); D. Saleheen; B. Lehne (Benjamin); I.M. Leach (Irene Mateo); A. Drong (Alexander); J. Abbott (James); S. Wahl (Simone); S.-T. Tan (Sian-Tsung); W.R. Scott (William R.); G. Campanella (Gianluca); M. Chadeau-Hyam (Marc); U. Afzal (Uzma); T.S. Ahluwalia (Tarunveer Singh); M.J. Bonder (Marc); P. Chen (Ping); A. Dehghan (Abbas); T.L. Edwards (Todd L.); T. Esko (Tõnu); M.J. Go (Min Jin); S.E. Harris (Sarah); J. Hartiala (Jaana); S. Kasela (Silva); A. Kasturiratne (Anuradhani); C.C. Khor; M.E. Kleber (Marcus); H. Li (Huaixing); Z.Y. Mok (Zuan Yu); M. Nakatochi (Masahiro); N.S. Sapari (Nur Sabrina); R. Saxena (Richa); A.F. Stewart (Alexandre F.); L. Stolk (Lisette); Y. Tabara (Yasuharu); A.L. Teh (Ai Ling); Y. Wu (Ying); J.-Y. Wu (Jer-Yuarn); Y. Zhang (Yi); I. Aits (Imke); A. Da Silva Couto Alves (Alexessander); S. Das (Shikta); R. Dorajoo (Rajkumar); J. CHopewell (Jemma); Y.K. Kim (Yun Kyoung); R. WKoivula (Robert); J. Luan (Jian'An); L.-P. Lyytikäinen (Leo-Pekka); Q. NNguyen (Quang); M.A. Pereira (Mark A); D. Postmus (Douwe); O. TRaitakari (Olli); M. Scannell Bryan (Molly); R.A. Scott (Robert); R. Sorice; V. Tragante (Vinicius); M. Traglia (Michela); J. White (Jon); K. Yamamoto (Ken); Y. Zhang (Yonghong); L.S. Adair (Linda); A. Ahmed (Alauddin); K. Akiyama (Koichi); R. Asif (Rasheed); T. Aung (Tin); I.E. Barroso (Inês); A. Bjonnes (Andrew); T.R. Braun (Timothy R.); H. Cai (Hui); L.-C. Chang (Li-Ching); C.-H. Chen; C-Y. Cheng (Ching-Yu); Y.-S. Chong (Yap-Seng); F.S. Collins (Francis); R. Courtney (Regina); G. Davies (Gail); G. Delgado; L.D. Do (Loi D.); P.A. Doevendans (Pieter); R.T. Gansevoort (Ron); Y. Gao; T.B. Grammer (Tanja B); N. Grarup (Niels); J. Grewal (Jagvir); D. Gu (D.); G. SWander (Gurpreet); A.L. Hartikainen; S.L. Hazen (Stanley); J. He (Jing); C.K. Heng (Chew-Kiat); E.J.A. Hixso (E. James Ames); A. Hofman (Albert); C. Hsu (Chris); W. Huang (Wei); L.L.N. Husemoen (Lise Lotte); J.-Y. Hwang (Joo-Yeon); S. Ichihara (Sahoko); M. Igase (Michiya); M. Isono (Masato); J.M. Justesen (Johanne M.); T. Katsuya (Tomohiro); M. GKibriya (Muhammad); Y.J. Kim; M. Kishimoto (Miyako); W.-P. Koh (Woon-Puay); K. Kohara (Katsuhiko); M. Kumari (Meena); K. Kwek (Kenneth); N.R. Lee (Nanette); J. Lee (Jeannette); J. Liao (Jie); W. Lieb (Wolfgang); D.C. Liewald (David C.); T. Matsubara (Tatsuaki); Y. Matsushita (Yumi); T. Meitinger (Thomas); E. Mihailov (Evelin); L. Milani (Lili); R. Mills (Rebecca); K. Mononen (Kari); M. Müller-Nurasyid (Martina); T. Nabika (Toru); E. Nakashima (Eitaro); H.K. Ng (Hong Kiat); K. Nikus (Kjell); T. Nutile; T. Ohkubo (Takayoshi); K. Ohnaka (Keizo); S. Parish (Sarah); L. Paternoster (Lavinia); H. Peng (Hao); A. Peters (Annette); S. TPham (Son); M.J. Pinidiyapathirage (Mohitha J.); M. Rahman (Mahfuzar); H. Rakugi (Hiromi); O. Rolandsson (Olov); M.A. Rozario (Michelle Ann); D. Ruggiero; C. Sala (Cinzia); R. Sarju (Ralhan); K. Shimokawa (Kazuro); H. Snieder (Harold); T. Sparsø (Thomas); W. Spiering (Wilko); J.M. Starr (John); D.J. Stott (David J.); D. OStram (Daniel); T. Sugiyama (Takao); S. Szymczak (Silke); W.H.W. Tang (W.H. Wilson); L. Tong (Lin); S. Trompet (Stella); V. Turjanmaa (Väinö); H. Ueshima (Hirotsugu); A.G. Uitterlinden (André); S. Umemura (Satoshi); M. Vaarasmaki (Marja); R.M. Dam (Rob Mvan); W.H. van Gilst (Wiek); D.J. van Veldhuisen (Dirk); J. Viikari (Jorma); M. Waldenberger (Melanie); Y. Wang (Yiqin); A. Wang (Aili); R. Wilson (Rory); T.Y. Wong (Tien Yin); Y.-B. Xiang (Yong-Bing); S. Yamaguchi (Shuhei); X. Ye (Xingwang); R. Young (Robin); T.L. Young (Terri); J.-M. Yuan (Jian-Min); X. Zhou (Xueya); F.W. Asselbergs (Folkert); M. Ciullo; R. Clarke (Robert); P. Deloukas (Panagiotis); A. Franke (Andre); W.F. Paul (W. Frank); S. Franks (Steve); Y. Friedlander (Yechiel); M.D. Gross (Myron D.); Z. Guo (Zhirong); T. Hansen (T.); M.-R. Jarvelin (Marjo-Riitta); T. Jørgensen (Torben); J.W. Jukema (Jan Wouter); M. Kähönen (Mika); H. Kajio (Hiroshi); M. Kivimaki (Mika); J.-Y. Lee (Jong-Young); T. Lehtimäki (Terho); A. Linneberg (Allan); T. Miki (Tetsuro); O. Pedersen (Oluf); N.J. Samani (Nilesh); T.I.A. Sørensen (Thorkild); R. Takayanagi (Ryoichi); D. Toniolo (Daniela); H. Ahsan (Habibul); H. Allayee (Hooman); Y.-T. Chen (Yuan-Tsong); J. Danesh (John); I.J. Deary (Ian J.); O.H. Franco (Oscar); L. Franke (Lude); B. THeijman (Bastiaan); J.D. Holbrook (Joanna D.); A.J. Isaacs (Aaron); B.-J. Kim (Bong-Jo); X. Lin (Xu); J. Liu (Jianjun); W. März (Winfried); A. Metspalu (Andres); K.L. Mohlke (Karen); K. Sangher; D. Harambir (Dharambir); X.-O. Shu (Xiao-Ou); J.B.J. van Meurs (Joyce); E.N. Vithana (Eranga); A.R. Wickremasinghe (Ananda); C. Wijmenga (Cisca); B.H.W. Wolffenbuttel (Bruce H.W.); M. Yokota (Mitsuhiro); W. Zheng (Wei); D. Zhu (Dingliang); P. Vineis (Paolo); S.A. Kyrtopoulos (Soterios A.); J.C.S. Kleinjans (Jos C.S.); M.I. McCarthy (Mark); R. Soong (Richie); C. Gieger (Christian); J. Scott (James); Y.Y. Teo (Yik Ying); J. He (Jiang); P. Elliott (Paul); E.S. Tai (Shyong); P. van der Harst (Pim); J.S. Kooner (Jaspal S.); J.C. Chambers (John)

2015-01-01

textabstractWe carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10 -11 to

Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits

DEFF Research Database (Denmark)

Pankratz, Nathan; Schick, Ursula M; Zhou, Yi

2016-01-01

with Illumina HumanExome BeadChip genotypes. We then performed replication analyses of new discoveries in 18,018 European-American women and 5,261 Han Chinese. We identified and replicated four new erythrocyte trait-locus associations (CEP89, SHROOM3, FADS2, and APOE) and six new WBC loci for neutrophil count...... (S1PR4), monocyte count (BTBD8, NLRP12, and IL17RA), eosinophil count (IRF1), and total WBC count (MYB). The association of a rare missense variant in S1PR4 supports the role of sphingosine-1-phosphate signaling in leukocyte trafficking and circulating neutrophil counts. Loss-of-function experiments...... for S1pr4 in mouse and s1pr4 in zebrafish demonstrated phenotypes consistent with the association observed in humans and altered kinetics of neutrophil recruitment and resolution in response to tissue injury....

Development and characterization of 12 polymorphic microsatellite loci in the sea sandwort, Honckenya peploides

Science.gov (United States)

Gravley, Megan C.; Sage, George K.; Talbot, Sandra L.; Carlson, Matthew L.

2018-01-01

Codominant marker systems are better suited to analyze population structure and assess the source of an individual in admixture analyses. Currently, there is no codominant marker system using microsatellites developed for the sea sandwort, Honckenya peploides (L.) Ehrh., an early colonizer in island systems. We developed and characterized novel microsatellite loci from H. peploides, using reads collected from whole genome shotgun sequencing on a 454 platform. The combined output from two shotgun runs yielded a total of 62,669 reads, from which 58 loci were screened. We identified 12 polymorphic loci that amplified reliably and exhibited disomic inheritance. Microsatellite data were collected and characterized for the 12 polymorphic loci in two Alaskan populations of H. peploides: Fossil Beach, Kodiak Island (n = 32) and Egg Bay, Atka Island (n = 29). The Atka population exhibited a slightly higher average number of alleles (3.9) and observed heterozygosity (0.483) than the Kodiak population (3.3 and 0.347, respectively). The overall probability of identity values for both populations was PID = 2.892e−6 and PIDsib = 3.361e−3. We also screened the 12 polymorphic loci in Wilhelmsia physodes (Fisch. ex Ser.) McNeill, the most closely related species to H. peploides, and only one locus was polymorphic. These microsatellite markers will allow future investigations into population genetic and colonization patterns of the beach dune ruderal H. peploides on new and recently disturbed islands.

Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia.

Science.gov (United States)

Ward, Joey; Strawbridge, Rona J; Bailey, Mark E S; Graham, Nicholas; Ferguson, Amy; Lyall, Donald M; Cullen, Breda; Pidgeon, Laura M; Cavanagh, Jonathan; Mackay, Daniel F; Pell, Jill P; O'Donovan, Michael; Escott-Price, Valentina; Smith, Daniel J

2017-11-30

Mood instability is a core clinical feature of affective and psychotic disorders. In keeping with the Research Domain Criteria approach, it may be a useful construct for identifying biology that cuts across psychiatric categories. We aimed to investigate the biological validity of a simple measure of mood instability and evaluate its genetic relationship with several psychiatric disorders, including major depressive disorder (MDD), bipolar disorder (BD), schizophrenia, attention deficit hyperactivity disorder (ADHD), anxiety disorder and post-traumatic stress disorder (PTSD). We conducted a genome-wide association study (GWAS) of mood instability in 53,525 cases and 60,443 controls from UK Biobank, identifying four independently associated loci (on chromosomes 8, 9, 14 and 18), and a common single-nucleotide polymorphism (SNP)-based heritability estimate of ~8%. We found a strong genetic correlation between mood instability and MDD (r g  = 0.60, SE = 0.07, p = 8.95 × 10 -17 ) and a small but significant genetic correlation with both schizophrenia (r g  = 0.11, SE = 0.04, p = 0.01) and anxiety disorders (r g  = 0.28, SE = 0.14, p = 0.04), although no genetic correlation with BD, ADHD or PTSD was observed. Several genes at the associated loci may have a role in mood instability, including the DCC netrin 1 receptor (DCC) gene, eukaryotic translation initiation factor 2B subunit beta (eIF2B2), placental growth factor (PGF) and protein tyrosine phosphatase, receptor type D (PTPRD). Strengths of this study include the very large sample size, but our measure of mood instability may be limited by the use of a single question. Overall, this work suggests a polygenic basis for mood instability. This simple measure can be obtained in very large samples; our findings suggest that doing so may offer the opportunity to illuminate the fundamental biology of mood regulation.

Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

DEFF Research Database (Denmark)

Kato, Norihiro; Loh, Marie; Takeuchi, Fumihiko

2015-01-01

We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10(-11) to 5.0 × 10...

Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

NARCIS (Netherlands)

Kato, Norihiro; Loh, Marie; Takeuchi, Fumihiko; Verweij, Niek; Wang, Xu; Zhang, Weihua; Kelly, Tanika N.; Saleheen, Danish; Lehne, Benjamin; Leach, Irene Mateo; Drong, Alexander W.; Abbott, James; Wahl, Simone; Tan, Sian-Tsung; Scott, William R.; Campanella, Gianluca; Chadeau-Hyam, Marc; Afzal, Uzma; Ahluwalia, Tarunveer S.; Bonder, Marc Jan; Chen, Peng; Dehghan, Abbas; Edwards, Todd L.; Esko, Tonu; Go, Min Jin; Harris, Sarah E.; Hartiala, Jaana; Kasela, Silva; Kasturiratne, Anuradhani; Khor, Chiea-Chuen; Kleber, Marcus E.; Li, Huaixing; Mok, Zuan Yu; Nakatochi, Masahiro; Sapari, Nur Sabrina; Saxena, Richa; Stewart, Alexandre F. R.; Stolk, Lisette; Tabara, Yasuharu; Teh, Ai Ling; Wu, Ying; Wu, Jer-Yuarn; Zhang, Yi; Aits, Imke; Alves, Alexessander Da Silva Couto; Das, Shikta; Dorajoo, Rajkumar; Hopewell, Jemma C.; Kim, Yun Kyoung; Koivula, Robert W.; Luan, Jian'an; Lyytikainen, Leo-Pekka; Nguyen, Quang N.; Pereira, Mark A.; Postmus, Iris; Raitakari, Olli T.; Bryan, Molly Scannell; Scott, Robert A.; Sorice, Rossella; Tragante, Vinicius; Traglia, Michela; White, Jon; Yamamoto, Ken; Zhang, Yonghong; Adair, Linda S.; Ahmed, Alauddin; Akiyama, Koichi; Asif, Rasheed; Aung, Tin; Barroso, Ines; Bjonnes, Andrew; Braun, Timothy R.; Cai, Hui; Chang, Li-Ching; Chen, Chien-Hsiun; Cheng, Ching-Yu; Chong, Yap-Seng; Collins, Rory; Courtney, Regina; Davies, Gail; Delgado, Graciela; Do, Loi D.; Doevendans, Pieter A.; Gansevoort, Ron T.; Gao, Yu-Tang; Grammer, Tanja B.; Grarup, Niels; Grewal, Jagvir; Gu, Dongfeng; Wander, Gurpreet S.; Hartikainen, Anna-Liisa; Hazen, Stanley L.; He, Jing; Heng, Chew-Kiat; Hixson, James E.; Hofman, Albert; Hsu, Chris; Huang, Wei; Husemoen, Lise L. N.; Hwang, Joo-Yeon; Ichihara, Sahoko; Igase, Michiya; Isono, Masato; Justesen, Johanne M.; Katsuy, Tomohiro; Kibriya, Muhammad G.; Kim, Young Jin; Kishimoto, Miyako; Koh, Woon-Puay; Kohara, Katsuhiko; Kumari, Meena; Kwek, Kenneth; Lee, Nanette R.; Lee, Jeannette; Liao, Jiemin; Lieb, Wolfgang; Liewald, David C. M.; Matsubara, Tatsuaki; Matsushita, Yumi; Meitinger, Thomas; Mihailov, Evelin; Milani, Lili; Mills, Rebecca; Mononen, Nina; Mueller-Nurasyid, Martina; Nabika, Toru; Nakashima, Eitaro; Ng, Hong Kiat; Nikus, Kjell; Nutile, Teresa; Ohkubo, Takayoshi; Ohnaka, Keizo; Parish, Sarah; Paternoster, Lavinia; Peng, Hao; Peters, Annette; Pham, Son T.; Pinidiyapathirage, Mohitha J.; Rahman, Mahfuzar; Rakugi, Hiromi; Rolandsson, Olov; Rozario, Michelle Ann; Ruggiero, Daniela; Sala, Cinzia F.; Sarju, Ralhan; Shimokawa, Kazuro; Snieder, Harold; Sparso, Thomas; Spiering, Wilko; Starr, John M.; Stott, David J.; Stram, Daniel O.; Sugiyama, Takao; Szymczak, Silke; Tang, W. H. Wilson; Tong, Lin; Trompet, Stella; Turjanmaa, Vaino; Ueshima, Hirotsugu; Uitterlinden, Andre G.; Umemura, Satoshi; Vaarasmaki, Marja; van Dam, Rob M.; van Gilst, Wiek H.; van Veldhuisen, Dirk J.; Viikari, Jorma S.; Waldenberger, Melanie; Wang, Yiqin; Wang, Aili; Wilson, Rory; Wong, Tien-Yin; Xiang, Yong-Bing; Yamaguchi, Shuhei; Ye, Xingwang; Young, Robin D.; Young, Terri L.; Yuan, Jian-Min; Zhou, Xueya; Asselbergs, Folkert W.; Ciullo, Marina; Clarke, Robert; Deloukas, Panos; Franke, Andre; Franks, Paul W.; Franks, Steve; Friedlander, Yechiel; Gross, Myron D.; Guo, Zhirong; Hansen, Torben; Jarvelin, Marjo-Riitta; Jorgensen, Torben; Jukema, J. Wouter; Kahonen, Mika; Kajio, Hiroshi; Kivimaki, Mika; Lee, Jong-Young; Lehtimaki, Terho; Linneberg, Allan; Miki, Tetsuro; Pedersen, Oluf; Samani, Nilesh J.; Sorensen, Thorkild I. A.; Takayanagi, Ryoichi; Toniolo, Daniela; Ahsan, Habibul; Allayee, Hooman; Chen, Yuan-Tsong; Danesh, John; Deary, Ian J.; Franco, Oscar H.; Franke, Lude; Heijman, Bastiaan T.; Holbrook, Joanna D.; Isaacs, Aaron; Kim, Bong-Jo; Lin, Xu; Liu, Jianjun; Maerz, Winfried; Metspalu, Andres; Mohlke, Karen L.; Sanghera, Dharambir K.; Shu, Xiao-Ou; van Meurs, Joyce B. J.; Vithana, Eranga; Wickremasinghe, Ananda R.; Wijmenga, Cisca; Wolffenbuttel, Bruce H. W.; Yokota, Mitsuhiro; Zheng, Wei; Zhu, Dingliang; Vineis, Paolo; Kyrtopoulos, Soterios A.; Kleinjans, Jos C. S.; McCarthy, Mark I.; Soong, Richie; Gieger, Christian; Scott, James; Teo, Yik-Ying; He, Jiang; Elliott, Paul; Tai, E. Shyong; van der Harst, Pim; Kooner, Jaspal S.; Chambers, John C.

2015-01-01

We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 x 10(-11) to 5.0 x

Genetic Screens in Yeast to Identify BRCA1 Modifiers

National Research Council Canada - National Science Library

Plon, Sharon E

2004-01-01

.... The yeast RAD9 protein has similar functions and sequence motifs as BRCA1 and we proposed to identify candidate modifier loci by identifying haploinsufficient mutations at a second locus that alters...

Microsatellite loci discovery from next-generation sequencing data and loci characterization in the epizoic barnacle Chelonibia testudinaria (Linnaeus, 1758

Directory of Open Access Journals (Sweden)

Christine Ewers-Saucedo

2016-05-01

Full Text Available Microsatellite markers remain an important tool for ecological and evolutionary research, but are unavailable for many non-model organisms. One such organism with rare ecological and evolutionary features is the epizoic barnacle Chelonibia testudinaria (Linnaeus, 1758. Chelonibia testudinaria appears to be a host generalist, and has an unusual sexual system, androdioecy. Genetic studies on host specificity and mating behavior are impeded by the lack of fine-scale, highly variable markers, such as microsatellite markers. In the present study, we discovered thousands of new microsatellite loci from next-generation sequencing data, and characterized 12 loci thoroughly. We conclude that 11 of these loci will be useful markers in future ecological and evolutionary studies on C. testudinaria.

Microsatellite loci discovery from next-generation sequencing data and loci characterization in the epizoic barnacle Chelonibia testudinaria (Linnaeus, 1758)

Science.gov (United States)

Zardus, John D.; Wares, John P.

2016-01-01

Microsatellite markers remain an important tool for ecological and evolutionary research, but are unavailable for many non-model organisms. One such organism with rare ecological and evolutionary features is the epizoic barnacle Chelonibia testudinaria (Linnaeus, 1758). Chelonibia testudinaria appears to be a host generalist, and has an unusual sexual system, androdioecy. Genetic studies on host specificity and mating behavior are impeded by the lack of fine-scale, highly variable markers, such as microsatellite markers. In the present study, we discovered thousands of new microsatellite loci from next-generation sequencing data, and characterized 12 loci thoroughly. We conclude that 11 of these loci will be useful markers in future ecological and evolutionary studies on C. testudinaria. PMID:27231653

Copy number variation in subjects with major depressive disorder who attempted suicide.

Science.gov (United States)

Perlis, Roy H; Ruderfer, Douglas; Hamilton, Steven P; Ernst, Carl

2012-01-01

Suicide is one of the top ten leading causes of death in North America and represents a major public health burden, particularly for people with Major Depressive disorder (MD). Many studies have suggested that suicidal behavior runs in families, however, identification of genomic loci that drive this efffect remain to be identified. Using subjects collected as part of STAR D, we genotyped 189 subjects with MD with history of a suicide attempt and 1073 subjects with Major Depressive disorder that had never attempted suicide. Copy Number Variants (CNVs) were called in Birdsuite and analyzed in PLINK. We found a set of CNVs present in the suicide attempter group that were not present in in the non-attempter group including in SNTG2 and MACROD2 - two brain expressed genes previously linked to psychopathology; however, these results failed to reach genome-wide signifigance. These data suggest potential CNVs to be investigated further in relation to suicide attempts in MD using large sample sizes.

[A population genetic study of 22 autosomal loci of single nucleotide polymorphisms].

Science.gov (United States)

Tang, Jian-pin; Jiang, Feng-hui; Shi, Mei-sen; Xu, Chuan-chao; Chen, Rui; Lai, Xiao-pin

2012-12-01

To evaluate polymorphisms and forensic efficiency of 22 non-binary single nucleotide polymorphism (SNP) loci. One hundred ethnic Han Chinese individuals were recruited from Dongguan, Guangdong. The 22 loci were genotyped with matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). Nine loci were found with a single allele, 4 loci were found to be biallelic, whilst 9 loci were found to have 3 alleles. For 13 polymorphic loci, the combined discrimination power and power of exclusion were 0.999 98 and 0.9330, respectively. For the 9 non-biallelic loci, the combined discrimination power and power of exclusion were 0.9998 and 0.8956, respectively. For motherless cases, the combined power of exclusion was 0.6405 for 13 polymorphic SNPs and 0.6405 for 9 non-binary SNPs. Non-binary loci have a greater discrimination power and exclusion power per SNP.

Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects.

Science.gov (United States)

Zhang, Shujun; Du, Tingting; Li, Mengni; Jia, Jing; Lu, Huiming; Lin, Xuan; Yu, Xuefeng

2017-06-01

Nonalcoholic fatty liver disease (NAFLD) is an increasingly common condition that is highly correlated with obesity; however, it is not uncommon among nonobese individuals. Triglyceride (TG) and glucose index combined with body mass index (TyG-BMI) has been proposed as a favorable marker of insulin resistance. We sought to investigate the effectiveness of TyG-BMI in identifying NAFLD in nonobese subjects.We conducted a cross-sectional study in a nonobese (BMI glucose, for identifying nonobese subjects at risk for NAFLD.In this study, the prevalence of NAFLD was over one-fifth in the nonobese population. TyG-BMI was an effective marker to detect NAFLD in nonobese subjects.

Unraveling possible association between quantitative trait loci (QTL ...

African Journals Online (AJOL)

Unraveling possible association between quantitative trait loci (QTL) for partial resistance and nonhost resistance in food barley ( Hordeum vulgaris L.) ... Abstract. Many quantitative trait loci (QTLs) in different barley populations were discovered for resistance to Puccinia hordei and heterologous rust species. Partial ...

Genius loci / Madis Kõiv

Index Scriptorium Estoniae

Kõiv, Madis, 1929-2014

2005-01-01

Ettekanne 37. Kreutzwaldi päevadel Tartu Kirjandusmuuseumis 18.-19. dets. 1993, pealkirjaga "Kus on see Valga, kus on see Tartu...: Genius loci B. Kangro ja V. Uibopuu romaanides". Varem ilmunud: Akadeemia, 1994, nr. 4

Isolation and characterization of polymorphic microsatellite loci in the green leafhopper Empoasca vitis Goethe (Homoptera).

Science.gov (United States)

Papura, D; Giresse, X; Chauvin, B; Caron, H; Delmotte, F; VAN Helden, M

2009-05-01

Eight dinucleotide microsatellite loci were isolated and characterized within the green leafhopper Empoasca vitis (Goethe) using an enrichment cloning procedure. Primers were tested on 171 individuals collected in the southwest of France from the vine plants. The identified loci were polymorphic, with allelic diversity ranging from two to 18 alleles per locus. Observed heterozygosities were from 0.021 to 0.760. These microsatellite markers should prove to be a useful tool for estimating the population genetic structure, host-plant specialization and migration capacity of this insect. © 2009 The Authors. Journal compilation © 2009 Blackwell Publishing Ltd.

Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity

NARCIS (Netherlands)

Tsoi, Lam C.; Spain, Sarah L.; Knight, Jo; Ellinghaus, Eva; Stuart, Philip E.; Capon, Francesca; Ding, Jun; Li, Yanming; Tejasvi, Trilokraj; Gudjonsson, Johann E.; Kang, Hyun M.; Allen, Michael H.; McManus, Ross; Novelli, Giuseppe; Samuelsson, Lena; Schalkwijk, Joost; Stahle, Mona; Burden, A. David; Smith, Catherine H.; Cork, Michael J.; Estivill, Xavier; Bowcock, Anne M.; Krueger, Gerald G.; Weger, Wolfgang; Worthington, Jane; Tazi-Ahnini, Rachid; Nestle, Frank O.; Hayday, Adrian; Hoffmann, Per; Winkelmann, Juliane; Wijmenga, Cisca; Langford, Cordelia; Edkins, Sarah; Andrews, Robert; Blackburn, Hannah; Strange, Amy; Band, Gavin; Pearson, Richard D.; Vukcevic, Damjan; Spencer, Chris C. A.; Deloukas, Panos; Mrowietz, Ulrich; Schreiber, Stefan; Weidinger, Stephan; Koks, Sulev; Kingo, Kuelli; Esko, Tonu; Metspalu, Andres; Ricaño Ponce, Isis; Trynka, Gosia

2012-01-01

To gain further insight into the genetic architecture of psoriasis, we conducted a meta-analysis of 3 genome-wide association studies (GWAS) and 2 independent data sets genotyped on the Immunochip, including 10,588 cases and 22,806 controls. We identified 15 new susceptibility loci, increasing to 36

Genetic variation of twenty autosomal STR loci and evaluate the ...

African Journals Online (AJOL)

SAM

2014-03-12

Mar 12, 2014 ... the second objective of the study was to evaluate the importance of these loci for forensic genetic purposes. ... of discrimination values for all tested loci was from 75 to 96%; therefore, those loci can be safely used to establish a ..... lists the frequency distribution of individual alleles within a given genetic ...

radEq Add-On Module for CFD Solver Loci-CHEM

Science.gov (United States)

McCloud, Peter

2013-01-01

Loci-CHEM to be applied to flow velocities where surface radiation due to heating from compression and friction becomes significant. The module adds a radiation equilibrium boundary condition to the computational fluid dynamics (CFD) code to produce accurate results. The module expanded the upper limit for accurate CFD solutions of Loci-CHEM from Mach 4 to Mach 10 based on Space Shuttle Orbiter Re-Entry trajectories. Loci-CHEM already has a very promising architecture and performance, but absence of radiation equilibrium boundary condition limited the application of Loci-CHEM to below Mach 4. The immediate advantage of the add-on module is that it allows Loci-CHEM to work with supersonic flows up to Mach 10. This transformed Loci-CHEM from a rocket engine- heritage CFD code with general subsonic and low-supersonic applications, to an aeroheating code with hypersonic applications. The follow-on advantage of the module is that it is a building block for additional add-on modules that will solve for the heating generated at Mach numbers higher than 10.

Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci.

Directory of Open Access Journals (Sweden)

Samuel E Jones

2016-08-01

Full Text Available Disrupted circadian rhythms and reduced sleep duration are associated with several human diseases, particularly obesity and type 2 diabetes, but until recently, little was known about the genetic factors influencing these heritable traits. We performed genome-wide association studies of self-reported chronotype (morning/evening person and self-reported sleep duration in 128,266 white British individuals from the UK Biobank study. Sixteen variants were associated with chronotype (P<5x10-8, including variants near the known circadian rhythm genes RGS16 (1.21 odds of morningness, 95% CI [1.15, 1.27], P = 3x10-12 and PER2 (1.09 odds of morningness, 95% CI [1.06, 1.12], P = 4x10-10. The PER2 signal has previously been associated with iris function. We sought replication using self-reported data from 89,283 23andMe participants; thirteen of the chronotype signals remained associated at P<5x10-8 on meta-analysis and eleven of these reached P<0.05 in the same direction in the 23andMe study. We also replicated 9 additional variants identified when the 23andMe study was used as a discovery GWAS of chronotype (all P<0.05 and meta-analysis P<5x10-8. For sleep duration, we replicated one known signal in PAX8 (2.6 minutes per allele, 95% CI [1.9, 3.2], P = 5.7x10-16 and identified and replicated two novel associations at VRK2 (2.0 minutes per allele, 95% CI [1.3, 2.7], P = 1.2x10-9; and 1.6 minutes per allele, 95% CI [1.1, 2.2], P = 7.6x10-9. Although we found genetic correlation between chronotype and BMI (rG = 0.056, P = 0.05; undersleeping and BMI (rG = 0.147, P = 1x10-5 and oversleeping and BMI (rG = 0.097, P = 0.04, Mendelian Randomisation analyses, with limited power, provided no consistent evidence of causal associations between BMI or type 2 diabetes and chronotype or sleep duration. Our study brings the total number of loci associated with chronotype to 22 and with sleep duration to three, and provides new insights into the biology of sleep and

Discrimination of candidate subgenome-specific loci by linkage map construction with an S1 population of octoploid strawberry (Fragaria × ananassa).

Science.gov (United States)

Nagano, Soichiro; Shirasawa, Kenta; Hirakawa, Hideki; Maeda, Fumi; Ishikawa, Masami; Isobe, Sachiko N

2017-05-12

The strawberry, Fragaria × ananassa, is an allo-octoploid (2n = 8x = 56) and outcrossing species. Although it is the most widely consumed berry crop in the world, its complex genome structure has hindered its genetic and genomic analysis, and thus discrimination of subgenome-specific loci among the homoeologous chromosomes is needed. In the present study, we identified candidate subgenome-specific single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) loci, and constructed a linkage map using an S 1 mapping population of the cultivar 'Reikou' with an IStraw90 Axiom® SNP array and previously published SSR markers. The 'Reikou' linkage map consisted of 11,574 loci (11,002 SNPs and 572 SSR loci) spanning 2816.5 cM of 31 linkage groups. The 11,574 loci were located on 4738 unique positions (bin) on the linkage map. Of the mapped loci, 8999 (8588 SNPs and 411 SSR loci) showed a 1:2:1 segregation ratio of AA:AB:BB allele, which suggested the possibility of deriving loci from candidate subgenome-specific sequences. In addition, 2575 loci (2414 SNPs and 161 SSR loci) showed a 3:1 segregation of AB:BB allele, indicating they were derived from homoeologous genomic sequences. Comparative analysis of the homoeologous linkage groups revealed differences in genome structure among the subgenomes. Our results suggest that candidate subgenome-specific loci are randomly located across the genomes, and that there are small- to large-scale structural variations among the subgenomes. The mapped SNPs and SSR loci on the linkage map are expected to be seed points for the construction of pseudomolecules in the octoploid strawberry.

Quantitative Trait Loci Analysis of Seed Quality Characteristics in Lentil using Single Nucleotide Polymorphism Markers

Directory of Open Access Journals (Sweden)

Michael J. Fedoruk

2013-11-01

Full Text Available Seed shape, color, and pattern of lentil ( Medik. subsp. are important quality traits as they determine market class and possible end uses. A recombinant inbred line population was phenotyped for seed dimensions over multiple site–years and classified according to cotyledon and seed coat color and pattern. The objectives were to determine the heritability of seed dimensions, identify genomic regions controlling these dimensions, and map seed coat and cotyledon color genes. A genetic linkage map consisting of 563 single nucleotide polymorphisms, 10 simple sequence repeats, and four seed color loci was developed for quantitative trait loci (QTL analysis. Loci for seed coat color and pattern mapped to linkage groups 2 (, 3 (, and 6 ( while the cotyledon color locus ( mapped to linkage group 1. The broad sense heritability estimates were high for seed diameter (broad-sense heritability [] = 0.92 and seed plumpness ( = 0.94 while seed thickness ( = 0.60 and days to flowering ( = 0.45 were more moderate. There were significant seed dimension QTL on six of the seven linkage groups. The most significant QTL for diameter and plumpness was found at the cotyledon color locus (. The markers identified in this study can be used to help enrich breeding populations for desired seed quality characteristics, thereby increasing efficiency in the lentil breeding program.

Detection of novel quantitative trait loci for cutaneous melanoma by genome-wide scan in the MeLiM swine model

Czech Academy of Sciences Publication Activity Database

Du, Z. Q.; Vincent-Naulleau, S.; Gilbert, H.; Vignoles, F.; Créchet, F.; Shimogiri, T.; Yasue, H.; Leplat, J. J.; Bouet, S.; Gruand, J.; Horák, Vratislav; Milan, D.; Le Roy, P.; Geffrotin, C.

2006-01-01

Roč. 120, - (2006), s. 303-320 ISSN 0020-7136 Institutional research plan: CEZ:AV0Z50450515 Keywords : swine melanoma * quantitative trait loci * MC1R Subject RIV: FD - Oncology ; Hematology Impact factor: 4.693, year: 2006

Exome-Wide Association Study Identifies New Low-Frequency and Rare UGT1A1 Coding Variants and UGT1A6 Coding Variants Influencing Serum Bilirubin in Elderly Subjects

Science.gov (United States)

Oussalah, Abderrahim; Bosco, Paolo; Anello, Guido; Spada, Rosario; Guéant-Rodriguez, Rosa-Maria; Chery, Céline; Rouyer, Pierre; Josse, Thomas; Romano, Antonino; Elia, Maurizzio; Bronowicki, Jean-Pierre; Guéant, Jean-Louis

2015-01-01

Abstract Genome-wide association studies (GWASs) have identified loci contributing to total serum bilirubin level. However, no exome-wide approaches have been performed to address this question. Using exome-wide approach, we assessed the influence of protein-coding variants on unconjugated, conjugated, and total serum bilirubin levels in a well-characterized cohort of 773 ambulatory elderly subjects from Italy. Coding variants were replicated in 227 elderly subjects from the same area. We identified 4 missense rare (minor allele frequency, MAF bilirubin level (P = 2.34 × 10−34, P = 7.02 × 10−34, and P = 8.27 × 10−34), as well as unconjugated, and conjugated bilirubin levels. We also identified UGT1A6 variants in association with total (rs6759892, p.Ser7Ala, P = 1.98 × 10−26; rs2070959, p.Thr181Ala, P = 2.87 × 10−27; and rs1105879, p.Arg184Ser, P = 3.27 × 10−29), unconjugated, and conjugated bilirubin levels. All UGT1A1 intronic variants (rs887829, rs6742078, and rs4148325) and UGT1A6 coding variants (rs6759892, rs2070959, and rs1105879) were significantly associated with gallstone-related cholecystectomy risk. The UGT1A6 variant rs2070959 (p.Thr181Ala) was associated with the highest risk of gallstone–related cholecystectomy (OR, 4.58; 95% CI, 1.58–13.28; P = 3.21 × 10−3). Using an exome-wide approach we identified coding variants on UGT1A1 and UGT1A6 genes in association with serum bilirubin level and hyperbilirubinemia risk in elderly subjects. UGT1A1 intronic single-nucleotide polymorphisms (SNPs) (rs6742078, rs887829, rs4148324) serve as proxy markers for the low-frequency and rare UGT1A1 variants, thereby providing mechanistic explanation to the relationship between UGT1A1 intronic SNPs and the UGT1A1 enzyme activity. UGT1A1 and UGT1A6 variants might be potentially associated with gallstone-related cholecystectomy risk. PMID:26039129

Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

NARCIS (Netherlands)

Berndt, Sonja I; Camp, Nicola J; Skibola, Christine F; Vijai, Joseph; Wang, Zhaoming; Gu, Jian; Nieters, Alexandra; Kelly, Rachel S; Smedby, Karin E; Monnereau, Alain; Cozen, Wendy; Cox, Angela; Wang, Sophia S; Lan, Qing; Teras, Lauren R; Machado, Moara; Yeager, Meredith; Brooks-Wilson, Angela R; Hartge, Patricia; Purdue, Mark P; Birmann, Brenda M; Vajdic, Claire M; Cocco, Pierluigi; Zhang, Yawei; Giles, Graham G; Zeleniuch-Jacquotte, Anne; Lawrence, Charles; Montalvan, Rebecca; Burdett, Laurie; Hutchinson, Amy; Ye, Yuanqing; Call, Timothy G; Shanafelt, Tait D; Novak, Anne J; Kay, Neil E; Liebow, Mark; Cunningham, Julie M; Allmer, Cristine; Hjalgrim, Henrik; Adami, Hans-Olov; Melbye, Mads; Glimelius, Bengt; Chang, Ellen T; Glenn, Martha; Curtin, Karen; Cannon-Albright, Lisa A; Diver, W Ryan; Link, Brian K; Weiner, George J; Conde, Lucia; Bracci, Paige M; Riby, Jacques; Arnett, Donna K; Zhi, Degui; Leach, Justin M; Holly, Elizabeth A; Jackson, Rebecca D; Tinker, Lesley F; Benavente, Yolanda; Sala, Núria; Casabonne, Delphine; Becker, Nikolaus; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; McKay, James; Staines, Anthony; Chaffee, Kari G; Achenbach, Sara J; Vachon, Celine M; Goldin, Lynn R; Strom, Sara S; Leis, Jose F; Weinberg, J Brice; Caporaso, Neil E; Norman, Aaron D; De Roos, Anneclaire J; Morton, Lindsay M; Severson, Richard K; Riboli, Elio; Vineis, Paolo; Kaaks, Rudolph; Masala, Giovanna; Weiderpass, Elisabete; Chirlaque, María-Dolores; Vermeulen, Roel C H|info:eu-repo/dai/nl/216532620; Travis, Ruth C; Southey, Melissa C; Milne, Roger L; Albanes, Demetrius; Virtamo, Jarmo; Weinstein, Stephanie; Clavel, Jacqueline; Zheng, Tongzhang; Holford, Theodore R; Villano, Danylo J; Maria, Ann; Spinelli, John J; Gascoyne, Randy D; Connors, Joseph M; Bertrand, Kimberly A; Giovannucci, Edward; Kraft, Peter; Kricker, Anne; Turner, Jenny; Ennas, Maria Grazia; Ferri, Giovanni M; Miligi, Lucia; Liang, Liming; Ma, Baoshan; Huang, Jinyan; Crouch, Simon; Park, Ju-Hyun; Chatterjee, Nilanjan; North, Kari E; Snowden, John A; Wright, Josh; Fraumeni, Joseph F; Offit, Kenneth; Wu, Xifeng; de Sanjose, Silvia; Cerhan, James R; Chanock, Stephen J; Rothman, Nathaniel; Slager, Susan L

2016-01-01

Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and

Loci and pathways associated with uterine capacity for pregnancy and fertility in beef cattle

Science.gov (United States)

Infertility and subfertility negatively impact the economics and reproductive performance of cattle. Of note, significant pregnancy loss occurs in cattle during the first month of pregnancy, yet little is known about the genetic loci influencing pregnancy success and loss in cattle. To identify quan...

CBCL Pediatric Bipolar Disorder Profile and ADHD: Comorbidity and Quantitative Trait Loci Analysis

Science.gov (United States)

McGough, James J.; Loo, Sandra K.; McCracken, James T.; Dang, Jeffery; Clark, Shaunna; Nelson, Stanley F.; Smalley, Susan L.

2008-01-01

The pediatric bipolar disorder profile of the Child Behavior checklist is used to differentiate patterns of comorbidity and to search for quantitative trait loci in multiple affected ADHD sibling pairs. The CBCL-PBD profiling identified 8 percent of individuals with severe psychopathology and increased rates of oppositional defiant, conduct and…

Six quantitative trait loci influence task thresholds for hygienic behaviour in honeybees (Apis mellifera).

Science.gov (United States)

Oxley, Peter R; Spivak, Marla; Oldroyd, Benjamin P

2010-04-01

Honeybee hygienic behaviour provides colonies with protection from many pathogens and is an important model system of the genetics of a complex behaviour. It is a textbook example of complex behaviour under simple genetic control: hygienic behaviour consists of two components--uncapping a diseased brood cell, followed by removal of the contents--each of which are thought to be modulated independently by a few loci of medium to large effect. A worker's genetic propensity to engage in hygienic tasks affects the intensity of the stimulus required before she initiates the behaviour. Genetic diversity within colonies leads to task specialization among workers, with a minority of workers performing the majority of nest-cleaning tasks. We identify three quantitative trait loci that influence the likelihood that workers will engage in hygienic behaviour and account for up to 30% of the phenotypic variability in hygienic behaviour in our population. Furthermore, we identify two loci that influence the likelihood that a worker will perform uncapping behaviour only, and one locus that influences removal behaviour. We report the first candidate genes associated with engaging in hygienic behaviour, including four genes involved in olfaction, learning and social behaviour, and one gene involved in circadian locomotion. These candidates will allow molecular characterization of this distinctive behavioural mode of disease resistance, as well as providing the opportunity for marker-assisted selection for this commercially significant trait.

A genome-wide association study of COPD identifies a susceptibility locus on chromosome 19q13

DEFF Research Database (Denmark)

Cho, Michael H; Castaldi, Peter J; Wan, Emily S

2012-01-01

The genetic risk factors for chronic obstructive pulmonary disease (COPD) are still largely unknown. To date, genome-wide association studies (GWASs) of limited size have identified several novel risk loci for COPD at CHRNA3/CHRNA5/IREB2, HHIP and FAM13A; additional loci may be identified through...

A novel CpG island set identifies tissue-specific methylation at developmental gene loci.

Directory of Open Access Journals (Sweden)

Robert Illingworth

2008-01-01

Full Text Available CpG islands (CGIs are dense clusters of CpG sequences that punctuate the CpG-deficient human genome and associate with many gene promoters. As CGIs also differ from bulk chromosomal DNA by their frequent lack of cytosine methylation, we devised a CGI enrichment method based on nonmethylated CpG affinity chromatography. The resulting library was sequenced to define a novel human blood CGI set that includes many that are not detected by current algorithms. Approximately half of CGIs were associated with annotated gene transcription start sites, the remainder being intra- or intergenic. Using an array representing over 17,000 CGIs, we established that 6%-8% of CGIs are methylated in genomic DNA of human blood, brain, muscle, and spleen. Inter- and intragenic CGIs are preferentially susceptible to methylation. CGIs showing tissue-specific methylation were overrepresented at numerous genetic loci that are essential for development, including HOX and PAX family members. The findings enable a comprehensive analysis of the roles played by CGI methylation in normal and diseased human tissues.

Genetic mapping of xenotropic murine leukemia virus-inducing loci in five mouse strains.

Science.gov (United States)

Kozak, C A; Rowe, W P

1980-07-01

A single mendelian gene was identified for induction of the endogenous xenotropic murine leukemia virus in five mouse strains (C57BL/10, C57L, C57BR, AKR, and BALB/c). This locus, designated Bxv-1, mapped to the same site on chromosome 1 in all strains: Id-1-Pep-3-[Bxv-1-Lp]. Thus, inducibility loci for xenotropic virus are more limited in number and chromosomal distribution than ecotropic inducibility loci. Virus expression in mice with Bxv-1 was induced by treatment of fibroblasts with 5-iododeoxyuridine or by exposure of spleen cells to a B cell mitogen, bacterial lipopolysaccharide. An analysis of the hamster X mouse somatic cell hybrids indicated that chromosome 1, alone, was sufficient for virus induction.

Quantitative trait loci analysis of osteocondrosis traits in the elbow joint of pigs

DEFF Research Database (Denmark)

Christensen, O F; Busch, M E; Gregersen, V R

2010-01-01

Osteochondrosis is a growth disorder in the cartilage of young animals and is characterised by lesions found in the cartilage and bone. This study identified quantitative trait loci (QTLs) associated with six osteochondrosis lesion traits in the elbow joint of finishing pigs. The traits were: thi...

SMAD7 loci contribute to risk of hepatocellular carcinoma and clinicopathologic development among Chinese Han population.

Science.gov (United States)

Ji, Jiansong; Xu, Min; Zhao, Zhongwei; Tu, Jianfei; Gao, Jun; Lu, Chenying; Song, Jingjing; Chen, Weiqian; Chen, Minjiang; Fan, Xiaoxi; Cheng, Xingyao; Lan, Xilin; Li, Jie

2016-04-19

Genome-wide association studies (GWAS) have identified three loci at 18q21 (rs4939827, rs7240004, and rs7229639), which maps to SMAD7 loci, were associated with risk of diseases of the digestive system. However, their associations with hepatocellular carcinoma (HCC) risk remain unknown. A case-control study was conducted to assess genetic associations with HCC risk and clinicopathologic development among Chinese Han population. Three SNPs were genotyped among 1,000 HCC cases and 1,000 controls using Sequenom Mass-ARRAY technology. We observed statistically significant associations for the three SMAD7 loci and HCC risk. Each copy of minor allele was associated with a 1.24-1.36 fold increased risk of HCC. We also found that significant differences were observed between rs4939827 and clinical TNM stage and vascular invasion, as well as rs7240004 and vascular invasion. We also established a genetic risk score (GRS) by summing the risk alleles. The GRS was significantly associated with increased risk of HCC and vascular invasion. Our data revealed the SMAD7 loci is associated with HCC susceptibility and its clinicopathologic development.

AMBIGUITY OF LOCI DURING HLA-TYPING ON SSO TECHNOLOGY AND ATTEMPT TO RESOLVE THEM

Directory of Open Access Journals (Sweden)

M. A. Loginova

2010-01-01

Full Text Available Sequence specific oligonucleotides typing was used to identify human leukocyte antigen (HLA-A, B, DRB1 alleles from 705 recruited volunteers with Volga Federal District for unrelated hematopoietic stem cell registry and 155 of their number at locus HLA-C. 48 samples cannot be entered into the database because of ambiguities in the identification of allelic loci on HLA-class I – HLA-A, HLA-B. To resolution of ambiguity use reagents kits AlleleSEQR HLA Sequencing, which allowed to reveal the ambiguity of the locus HLA-A, 44% of cases, the loci HLA-B and HLA-C – 40% of cases. Application software HARPs Finder showed the possibility of resolution of all identified allelic ambiguities (with the exception of types of ambiguity – A*03/A*32 or A*74:13/A*32:04 and A*01/A*11 or A*36:04/A*11 with the addition of basic kits AlleleSEQR HLA Sequencing reagents kit Al- leleSEQR HARPs. 

CoLIde: a bioinformatics tool for CO-expression-based small RNA Loci Identification using high-throughput sequencing data.

Science.gov (United States)

Mohorianu, Irina; Stocks, Matthew Benedict; Wood, John; Dalmay, Tamas; Moulton, Vincent

2013-07-01

Small RNAs (sRNAs) are 20-25 nt non-coding RNAs that act as guides for the highly sequence-specific regulatory mechanism known as RNA silencing. Due to the recent increase in sequencing depth, a highly complex and diverse population of sRNAs in both plants and animals has been revealed. However, the exponential increase in sequencing data has also made the identification of individual sRNA transcripts corresponding to biological units (sRNA loci) more challenging when based exclusively on the genomic location of the constituent sRNAs, hindering existing approaches to identify sRNA loci. To infer the location of significant biological units, we propose an approach for sRNA loci detection called CoLIde (Co-expression based sRNA Loci Identification) that combines genomic location with the analysis of other information such as variation in expression levels (expression pattern) and size class distribution. For CoLIde, we define a locus as a union of regions sharing the same pattern and located in close proximity on the genome. Biological relevance, detected through the analysis of size class distribution, is also calculated for each locus. CoLIde can be applied on ordered (e.g., time-dependent) or un-ordered (e.g., organ, mutant) series of samples both with or without biological/technical replicates. The method reliably identifies known types of loci and shows improved performance on sequencing data from both plants (e.g., A. thaliana, S. lycopersicum) and animals (e.g., D. melanogaster) when compared with existing locus detection techniques. CoLIde is available for use within the UEA Small RNA Workbench which can be downloaded from: http://srna-workbench.cmp.uea.ac.uk.

Investigation of population structure in Gulf of Mexico Seepiophila jonesi (Polychaeta, Siboglinidae using cross-amplified microsatellite loci

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Chunya Huang

2016-08-01

Full Text Available Background Vestimentiferan tubeworms are some of the most recognizable fauna found at deep-sea cold seeps, isolated environments where hydrocarbon rich fluids fuel biological communities. Several studies have investigated tubeworm population structure; however, much is still unknown about larval dispersal patterns at Gulf of Mexico (GoM seeps. As such, researchers have applied microsatellite markers as a measure for documenting the transport of vestimentiferan individuals. In the present study, we investigate the utility of microsatellites to be cross-amplified within the escarpiid clade of seep vestimentiferans, by determining if loci originally developed for Escarpia spp. could be amplified in the GoM seep tubeworm, Seepiophila jonesi. Additionally, we determine if cross-amplified loci can reliably uncover the same signatures of high gene flow seen in a previous investigation of S. jonesi. Methods Seventy-seven S. jonesi individuals were collected from eight seep sites across the upper Louisiana slope (<1,000 m in the GoM. Forty-eight microsatellite loci that were originally developed for Escarpia laminata (18 loci and Escarpia southwardae (30 loci were tested to determine if they were homologous and polymorphic in S. jonesi. Loci found to be both polymorphic and of high quality were used to test for significant population structuring in S. jonesi. Results Microsatellite pre-screening identified 13 (27% of the Escarpia loci were homologous and polymorphic in S. jonesi, revealing that microsatellites can be amplified within the escarpiid clade of vestimentiferans. Our findings uncovered low levels of heterozygosity and a lack of genetic differentiation amongst S. jonesi from various sites and regions, in line with previous investigations that employed species-specific polymorphic loci on S. jonesi individuals retrieved from both the same and different seep sites. The lack of genetic structure identified from these populations supports the

Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Science.gov (United States)

Berndt, Sonja I.; Camp, Nicola J.; Skibola, Christine F.; Vijai, Joseph; Wang, Zhaoming; Gu, Jian; Nieters, Alexandra; Kelly, Rachel S.; Smedby, Karin E.; Monnereau, Alain; Cozen, Wendy; Cox, Angela; Wang, Sophia S.; Lan, Qing; Teras, Lauren R.; Machado, Moara; Yeager, Meredith; Brooks-Wilson, Angela R.; Hartge, Patricia; Purdue, Mark P.; Birmann, Brenda M.; Vajdic, Claire M.; Cocco, Pierluigi; Zhang, Yawei; Giles, Graham G.; Zeleniuch-Jacquotte, Anne; Lawrence, Charles; Montalvan, Rebecca; Burdett, Laurie; Hutchinson, Amy; Ye, Yuanqing; Call, Timothy G.; Shanafelt, Tait D.; Novak, Anne J.; Kay, Neil E.; Liebow, Mark; Cunningham, Julie M.; Allmer, Cristine; Hjalgrim, Henrik; Adami, Hans-Olov; Melbye, Mads; Glimelius, Bengt; Chang, Ellen T.; Glenn, Martha; Curtin, Karen; Cannon-Albright, Lisa A.; Diver, W Ryan; Link, Brian K.; Weiner, George J.; Conde, Lucia; Bracci, Paige M.; Riby, Jacques; Arnett, Donna K.; Zhi, Degui; Leach, Justin M.; Holly, Elizabeth A.; Jackson, Rebecca D.; Tinker, Lesley F.; Benavente, Yolanda; Sala, Núria; Casabonne, Delphine; Becker, Nikolaus; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; McKay, James; Staines, Anthony; Chaffee, Kari G.; Achenbach, Sara J.; Vachon, Celine M.; Goldin, Lynn R.; Strom, Sara S.; Leis, Jose F.; Weinberg, J. Brice; Caporaso, Neil E.; Norman, Aaron D.; De Roos, Anneclaire J.; Morton, Lindsay M.; Severson, Richard K.; Riboli, Elio; Vineis, Paolo; Kaaks, Rudolph; Masala, Giovanna; Weiderpass, Elisabete; Chirlaque, María- Dolores; Vermeulen, Roel C. H.; Travis, Ruth C.; Southey, Melissa C.; Milne, Roger L.; Albanes, Demetrius; Virtamo, Jarmo; Weinstein, Stephanie; Clavel, Jacqueline; Zheng, Tongzhang; Holford, Theodore R.; Villano, Danylo J.; Maria, Ann; Spinelli, John J.; Gascoyne, Randy D.; Connors, Joseph M.; Bertrand, Kimberly A.; Giovannucci, Edward; Kraft, Peter; Kricker, Anne; Turner, Jenny; Ennas, Maria Grazia; Ferri, Giovanni M.; Miligi, Lucia; Liang, Liming; Ma, Baoshan; Huang, Jinyan; Crouch, Simon; Park, Ju-Hyun; Chatterjee, Nilanjan; North, Kari E.; Snowden, John A.; Wright, Josh; Fraumeni, Joseph F.; Offit, Kenneth; Wu, Xifeng; de Sanjose, Silvia; Cerhan, James R.; Chanock, Stephen J.; Rothman, Nathaniel; Slager, Susan L.

2016-01-01

Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10−11), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10−8) and 3q28 (rs9815073, LPP, P=3.62 × 10−8), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10−11) in the combined analysis. We find suggestive evidence (P<5 × 10−7) for two additional new loci at 4q24 (rs10028805, BANK1, P=7.19 × 10−8) and 3p22.2 (rs1274963, CSRNP1, P=2.12 × 10−7). Pathway analyses of new and known CLL loci consistently show a strong role for apoptosis, providing further evidence for the importance of this biological pathway in CLL susceptibility. PMID:26956414

Identification of Genetic Loci Jointly Influencing Schizophrenia Risk and the Cognitive Traits of Verbal-Numerical Reasoning, Reaction Time, and General Cognitive Function.

Science.gov (United States)

Smeland, Olav B; Frei, Oleksandr; Kauppi, Karolina; Hill, W David; Li, Wen; Wang, Yunpeng; Krull, Florian; Bettella, Francesco; Eriksen, Jon A; Witoelar, Aree; Davies, Gail; Fan, Chun C; Thompson, Wesley K; Lam, Max; Lencz, Todd; Chen, Chi-Hua; Ueland, Torill; Jönsson, Erik G; Djurovic, Srdjan; Deary, Ian J; Dale, Anders M; Andreassen, Ole A

2017-10-01

Schizophrenia is associated with widespread cognitive impairments. Although cognitive deficits are one of the factors most strongly associated with functional outcome in schizophrenia, current treatment strategies largely fail to ameliorate these impairments. To develop more efficient treatment strategies in patients with schizophrenia, a better understanding of the pathogenesis of these cognitive deficits is needed. Accumulating evidence indicates that genetic risk of schizophrenia may contribute to cognitive dysfunction. To identify genomic regions jointly influencing schizophrenia and the cognitive domains of reaction time and verbal-numerical reasoning, as well as general cognitive function, a phenotype that captures the shared variation in performance across cognitive domains. Combining data from genome-wide association studies from multiple phenotypes using conditional false discovery rate analysis provides increased power to discover genetic variants and could elucidate shared molecular genetic mechanisms. Data from the following genome-wide association studies, published from July 24, 2014, to January 17, 2017, were combined: schizophrenia in the Psychiatric Genomics Consortium cohort (n = 79 757 [cases, 34 486; controls, 45 271]); verbal-numerical reasoning (n = 36 035) and reaction time (n = 111 483) in the UK Biobank cohort; and general cognitive function in CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) (n = 53 949) and COGENT (Cognitive Genomics Consortium) (n = 27 888). Genetic loci identified by conditional false discovery rate analysis. Brain messenger RNA expression and brain expression quantitative trait locus functionality were determined. Among the participants in the genome-wide association studies, 21 loci jointly influencing schizophrenia and cognitive traits were identified: 2 loci shared between schizophrenia and verbal-numerical reasoning, 6 loci shared between schizophrenia and

Ancient conservation of trinucleotide microsatellite loci in polistine wasps

DEFF Research Database (Denmark)

Ezenwa, V O; Peters, J M; Zhu, Y

1998-01-01

Microsatellites have proven to be very useful genetic markers for studies of kinship, parentage, and gene mapping. If microsatellites are conserved among species, then those developed for one species can be used on related species, which would save the time and effort of developing new loci. We...... evaluated conservation of 27 trinucleotide loci that were derived from 2 species of Polistes wasps in cross-species applications on 27 species chosen from the major lineages of the Vespidae, which diverged as much as 144 million years ago. We further investigated cross-species polymorphism levels for 18...... of the loci. There was a clear relationship between cladistic distance and both conservation of the priming sites and heterozygosity. However the loci derived from P. bellicosus were much more widely conserved and polymorphic than were those derived from P. annularis. The disparity in cross-species utility...

Biology and applications of human minisatellite loci.

Science.gov (United States)

Armour, J A; Jeffreys, A J

1992-12-01

Highly repetitive minisatellites' include the most variable human loci described to date. They have proved invaluable in a wide variety of genetic analyses, and despite some controversies surrounding their practical implementation, have been extensively adopted in civil and forensic casework. Molecular analysis of internal allelic structure has provided detailed insights into the repeat-unit turnover mechanisms operating in germline mutations, which are ultimately responsible for the extreme variability seen at these loci.

Chromosomal localization of microsatellite loci in Drosophila mediopunctata

Directory of Open Access Journals (Sweden)

Renato Cavasini

2015-03-01

Full Text Available Drosophila mediopunctata has been used as a model organism for genetics and evolutionary studies in the last three decades. A linkage map with 48 microsatellite loci recently published for this species showed five syntenic groups, which had their homology determined to Drosophila melanogaster chromosomes. Then, by inference, each of the groups was associated with one of the five major chromosomes of D. mediopunctata. Our objective was to carry out a genetic (chromosomal analysis to increase the number of available loci with known chromosomal location. We made a simultaneous analysis of visible mutant phenotypes and microsatellite genotypes in a backcross of a standard strain and a mutant strain, which had each major autosome marked. Hence, we could establish the chromosomal location of seventeen loci; including one from each of the five major linkage groups previously published, and twelve new loci. Our results were congruent with the previous location and they open new possibilities to future work integrating microsatellites, chromosomal inversions, and genetic determinants of physiological and morphological variation.

Genes and quality trait loci (QTLs) associated with firmness in Malus x domestica

KAUST Repository

Marondedze, Claudius

2013-03-31

Fruit firmness, a quality quantitative trait, has long been established as a key textural property and one of the essential parameters for estimating ripening and shelf life of apples. Loss of firmness, also referred to as fruit softening, is undesirable in apples and represents a serious problem for growers in many countries. This results in the reduction of apple shelf life and in turn influences its commercialization. Low firmness impacts negatively on the sensory values of juiciness, crunchiness and crispness. Fruit firmness is affected by the inheritance of alleles at multiple loci and their possible interactions with the environment. Identification of these loci is key for the determination of genetic candidate markers that can be implemented in marker assisted selection and breeding for trees and/or cultivars that can yield firmer fruits with economic value. In turn, this technique can help reduce the time needed to evaluate plants and new cultivars could become available faster. This review provides an overview of quantitative trait loci (QTL), including additional putative QTLs that we have identified, and genes associated with firmness and their importance to biotechnology, the breeding industry and eventually the consumers.

Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics

DEFF Research Database (Denmark)

Garcia-Closas, M.; Hall, P.; Nevanlinna, H.

2008-01-01

A three-stage genome-wide association study recently identified single nucleotide polymorphisms ( SNPs) in five loci ( fibroblast growth receptor 2 ( FGFR2), trinucleotide repeat containing 9 ( TNRC9), mitogen-activated protein kinase 3 K1 (MAP3K1), 8q24, and lymphocyte- specific protein 1 ( LSP1...

Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics

NARCIS (Netherlands)

Garcia-Closas, Montserrat; Hall, Per; Nevanlinna, Heli; Pooley, Karen; Morrison, Jonathan; Richesson, Douglas A.; Bojesen, Stig E.; Nordestgaard, Børge G.; Axelsson, Christen K.; Arias, Jose I.; Milne, Roger L.; Ribas, Gloria; González-Neira, Anna; Benítez, Javier; Zamora, Pilar; Brauch, Hiltrud; Justenhoven, Christina; Hamann, Ute; Ko, Yon-Dschun; Bruening, Thomas; Haas, Susanne; Dörk, Thilo; Schürmann, Peter; Hillemanns, Peter; Bogdanova, Natalia; Bremer, Michael; Karstens, Johann Hinrich; Fagerholm, Rainer; Aaltonen, Kirsimari; Aittomäki, Kristiina; von Smitten, Karl; Blomqvist, Carl; Mannermaa, Arto; Uusitupa, Matti; Eskelinen, Matti; Tengström, Maria; Kosma, Veli-Matti; Kataja, Vesa; Chenevix-Trench, Georgia; Spurdle, Amanda B.; Beesley, Jonathan; Chen, Xiaoqing; Devilee, Peter; van Asperen, Christi J.; Jacobi, Catharina E.; Tollenaar, Rob A. E. M.; Huijts, Petra E. A.; Klijn, Jan G. M.; Chang-Claude, Jenny; Kropp, Silke; Slanger, Tracy; Flesch-Janys, Dieter; Mutschelknauss, Elke; Salazar, Ramona; Wang-Gohrke, Shan; Couch, Fergus; Goode, Ellen L.; Olson, Janet E.; Vachon, Celine; Fredericksen, Zachary S.; Giles, Graham G.; Baglietto, Laura; Severi, Gianluca; Hopper, John L.; English, Dallas R.; Southey, Melissa C.; Haiman, Christopher A.; Henderson, Brian E.; Kolonel, Laurence N.; Le Marchand, Loic; Stram, Daniel O.; Hunter, David J.; Hankinson, Susan E.; Cox, David G.; Tamimi, Rulla; Kraft, Peter; Sherman, Mark E.; Chanock, Stephen J.; Lissowska, Jolanta; Brinton, Louise A.; Peplonska, Beata; Hooning, Maartje J.; Meijers-Heijboer, Han; Collee, J. Margriet; van den Ouweland, Ans; Uitterlinden, Andre G.; Liu, Jianjun; Lin, Low Yen; Yuqing, Li; Humphreys, Keith; Czene, Kamila; Cox, Angela; Balasubramanian, Sabapathy P.; Cross, Simon S.; Reed, Malcolm W. R.; Blows, Fiona; Driver, Kristy; Dunning, Alison; Tyrer, Jonathan; Ponder, Bruce A. J.; Sangrajrang, Suleeporn; Brennan, Paul; McKay, James; Odefrey, Fabrice; Gabrieau, Valerie; Sigurdson, Alice; Doody, Michele; Struewing, Jeffrey P.; Alexander, Bruce; Easton, Douglas F.; Pharoah, Paul D.

2008-01-01

A three-stage genome-wide association study recently identified single nucleotide polymorphisms (SNPs) in five loci (fibroblast growth receptor 2 (FGFR2), trinucleotide repeat containing 9 (TNRC9), mitogen-activated protein kinase 3 K1 (MAP3K1), 8q24, and lymphocyte-specific protein 1 (LSP1))

Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics

NARCIS (Netherlands)

M. García-Closas (Montserrat); P. Hall (Per); H. Nevanlinna (Heli); K.A. Pooley (Karen); J. Morrison (Jonathan); D.A. Richesson (Douglas); S.E. Bojesen (Stig); B.G. Nordestgaard (Børge); C.K. Axelsson (Christen); J.I. Arias Pérez (José Ignacio); R.L. Milne (Roger); G. Ribas (Gloria); A. González-Neira (Anna); J. Benítez (Javier); P. Zamora (Pilar); H. Brauch (Hiltrud); C. Justenhoven (Christina); U. Hamann (Ute); Y-D. Ko (Yon-Dschun); T. Bruening (Thomas); S. Haas (Susanne); T. Dörk (Thilo); P. Schürmann (Peter); P. Hillemanns (Peter); N.V. Bogdanova (Natalia); M. Bremer (Michael); J.H. Karstens (Johann); R. Fagerholm (Rainer); K. Aaltonen (Kirsimari); K. Aittomäki (Kristiina); K. von Smitten (Karl); C. Blomqvist (Carl); A. Mannermaa (Arto); M. Uusitupa (Matti); M. Eskelinen (Matti); M. Tengström (Maria); V-M. Kosma (Veli-Matti); V. Kataja (Vesa); G. Chenevix-Trench (Georgia); A.B. Spurdle (Amanda); J. Beesley (Jonathan); X. Chen (Xiaoqing); P. Devilee (Peter); C.J. van Asperen (Christi); C.E. Jacobi (Catharina); R.A.E.M. Tollenaar (Rob); P. Huijts (Petra); J.G.M. Klijn (Jan); J. Chang-Claude (Jenny); S. Kropp (Silke); T. Slanger (Tracy); D. Flesch-Janys (Dieter); E. Mutschelknauss (Elke); R. Salazar (Ramona); S. Wang-Gohrke (Shan); F.J. Couch (Fergus); E.L. Goode (Ellen); J.E. Olson (Janet); C. Vachon (Celine); Z. Fredericksen (Zachary); G.G. Giles (Graham); L. Baglietto (Laura); G. Severi (Gianluca); J.L. Hopper (John); D.R. English (Dallas); M.C. Southey (Melissa); C.A. Haiman (Christopher); B.E. Henderson (Brian); L.N. Kolonel (Laurence); L. Le Marchand (Loic); D.O. Stram (Daniel); D. Hunter (David); S.E. Hankinson (Susan); A. Cox (Angela); R. Tamimi (Rulla); P. Kraft (Peter); M.E. Sherman (Mark); S.J. Chanock (Stephen); J. Lissowska (Jolanta); L.A. Brinton (Louise); B. Peplonska (Beata); M.J. Hooning (Maartje); E.J. Meijers-Heijboer (Hanne); J.M. Collée (Margriet); A.M.W. van den Ouweland (Ans); A.G. Uitterlinden (André); J. Liu (Jianjun); Y.L. Low; L. Yuqing (Li); M.K. Humphreys (Manjeet); K. Czene (Kamila); S. Balasubramanian (Sabapathy); S.S. Cross (Simon); M.W.R. Reed (Malcolm); F. Blows (Fiona); K. Driver (Kristy); A.M. Dunning (Alison); J.P. Tyrer (Jonathan); B.A.J. Ponder (Bruce); S. Sangrajrang (Suleeporn); P. Brennan (Paul); J.D. McKay (James); F. Odefrey (Fabrice); V. Gabrieau (Valerie); A.J. Sigurdson (Alice); M. Doody (Michele); J.P. Struewing (Jeffrey); B.H. Alexander (Bruce); D.F. Easton (Douglas); P.D.P. Pharoah (Paul)

2008-01-01

textabstractA three-stage genome-wide association study recently identified single nucleotide polymorphisms (SNPs) in five loci (fibroblast growth receptor 2 (FGFR2), trinucleotide repeat containing 9 (TNRC9), mitogen-activated protein kinase 3 K1 (MAP3K1), 8q24, and lymphocyte-specific protein 1

Genome-wide association study of renal cell carcinoma identifies two susceptibility loci on 2p21 and 11q13.3

NARCIS (Netherlands)

Purdue, Mark P.; Johansson, Mattias; Zelenika, Diana; Toro, Jorge R.; Scelo, Ghislaine; Moore, Lee E.; Prokhortchouk, Egor; Wu, Xifeng; Kiemeney, Lambertus A.; Gaborieau, Valerie; Jacobs, Kevin B.; Chow, Wong-Ho; Zaridze, David; Matveev, Vsevolod; Lubinski, Jan; Trubicka, Joanna; Szeszenia-Dabrowska, Neonila; Lissowska, Jolanta; Rudnai, Peter; Fabianova, Eleonora; Bucur, Alexandru; Bencko, Vladimir; Foretova, Lenka; Janout, Vladimir; Boffetta, Paolo; Colt, Joanne S.; Davis, Faith G.; Schwartz, Kendra L.; Banks, Rosamonde E.; Selby, Peter J.; Harnden, Patricia; Berg, Christine D.; Hsing, Ann W.; Grubb, Robert L.; Boeing, Heiner; Vineis, Paolo; Clavel-Chapelon, Francoise; Palli, Domenico; Tumino, Rosario; Krogh, Vittorio; Panico, Salvatore; Duell, Eric J.; Quiros, Jose Ramon; Sanchez, Maria-Jose; Navarro, Carmen; Ardanaz, Eva; Dorronsoro, Miren; Khaw, Kay-Tee; Allen, Naomi E.; Bueno-de-Mesquita, H. Bas; Peeters, Petra H. M.; Trichopoulos, Dimitrios; Linseisen, Jakob; Ljungberg, Borje; Overvad, Kim; Tjonneland, Anne; Romieu, Isabelle; Riboli, Elio; Mukeria, Anush; Shangina, Oxana; Stevens, Victoria L.; Thun, Michael J.; Diver, W. Ryan; Gapstur, Susan M.; Pharoah, Paul D.; Easton, Douglas F.; Albanes, Demetrius; Weinstein, Stephanie J.; Virtamo, Jarmo; Vatten, Lars; Hveem, Kristian; Njolstad, Inger; Tell, Grethe S.; Stoltenberg, Camilla; Kumar, Rajiv; Koppova, Kvetoslava; Cussenot, Olivier; Benhamou, Simone; Oosterwijk, Egbert; Vermeulen, Sita H.; Aben, Katja K. H.; van der Marel, Saskia L.; Ye, Yuanqing; Wood, Christopher G.; Pu, Xia; Mazur, Alexander M.; Boulygina, Eugenia S.; Chekanov, Nikolai N.; Foglio, Mario; Lechner, Doris; Gut, Ivo; Heath, Simon; Blanche, Helene; Hutchinson, Amy; Thomas, Gilles; Wang, Zhaoming; Yeager, Meredith; Fraumeni, Joseph F.; Skryabin, Konstantin G.; McKay, James D.; Rothman, Nathaniel; Chanock, Stephen J.; Lathrop, Mark; Brennan, Paul

We conducted a two-stage genome-wide association study of renal cell carcinoma (RCC) in 3,772 affected individuals (cases) and 8,505 controls of European background from 11 studies and followed up 6 SNPs in 3 replication studies of 2,198 cases and 4,918 controls. Two loci on the regions of 2p21 and

"Byrummets ånd. Genius Loci/The Spirit of Urban Spaces"

DEFF Research Database (Denmark)

Reeh, Henrik

2004-01-01

byrum, Genius loci, Christian Norberg-Schulz, Sønder Boulevard, Berlin, nykultur, fortove, barndomserindringer......byrum, Genius loci, Christian Norberg-Schulz, Sønder Boulevard, Berlin, nykultur, fortove, barndomserindringer...

Quantitative trait loci identified for blood chemistry components of an advanced intercross line of chickens under heat stress.

Science.gov (United States)

Van Goor, Angelica; Ashwell, Christopher M; Persia, Michael E; Rothschild, Max F; Schmidt, Carl J; Lamont, Susan J

2016-04-14

Heat stress in poultry results in considerable economic losses and is a concern for both animal health and welfare. Physiological changes occur during periods of heat stress, including changes in blood chemistry components. A highly advanced intercross line, created from a broiler (heat susceptible) by Fayoumi (heat resistant) cross, was exposed to daily heat cycles for seven days starting at 22 days of age. Blood components measured pre-heat treatment and on the seventh day of heat treatment included pH, pCO2, pO2, base excess, HCO3, TCO2, K, Na, ionized Ca, hematocrit, hemoglobin, sO2, and glucose. A genome-wide association study (GWAS) for these traits and their calculated changes was conducted to identify quantitative trait loci (QTL) using a 600 K SNP panel. There were significant increases in pH, base excess, HCO3, TCO2, ionized Ca, hematocrit, hemoglobin, and sO2, and significant decreases in pCO2 and glucose after 7 days of heat treatment. Heritabilities ranged from 0.01-0.21 for pre-heat measurements, 0.01-0.23 for measurements taken during heat, and 0.00-0.10 for the calculated change due to heat treatment. All blood components were highly correlated within measurement days, but not correlated between measurement days. The GWAS revealed 61 QTL for all traits, located on GGA (Gallus gallus chromosome) 1, 3, 6, 9, 10, 12-14, 17, 18, 21-28, and Z. A functional analysis of the genes in these QTL regions identified the Angiopoietin pathway as significant. The QTL that co-localized for three or more traits were on GGA10, 22, 26, 28, and Z and revealed candidate genes for birds' response to heat stress. The results of this study contribute to our knowledge of levels and heritabilities of several blood components of chickens under thermoneutral and heat stress conditions. Most components responded to heat treatment. Mapped QTL may serve as markers for genomic selection to enhance heat tolerance in poultry. The Angiopoietin pathway is likely involved in the

A genome-wide association study identifies risk loci for spirometric measures among smokers of European and African ancestry.

Science.gov (United States)

Lutz, Sharon M; Cho, Michael H; Young, Kendra; Hersh, Craig P; Castaldi, Peter J; McDonald, Merry-Lynn; Regan, Elizabeth; Mattheisen, Manuel; DeMeo, Dawn L; Parker, Margaret; Foreman, Marilyn; Make, Barry J; Jensen, Robert L; Casaburi, Richard; Lomas, David A; Bhatt, Surya P; Bakke, Per; Gulsvik, Amund; Crapo, James D; Beaty, Terri H; Laird, Nan M; Lange, Christoph; Hokanson, John E; Silverman, Edwin K

2015-12-03

Pulmonary function decline is a major contributor to morbidity and mortality among smokers. Post bronchodilator FEV1 and FEV1/FVC ratio are considered the standard assessment of airflow obstruction. We performed a genome-wide association study (GWAS) in 9919 current and former smokers in the COPDGene study (6659 non-Hispanic Whites [NHW] and 3260 African Americans [AA]) to identify associations with spirometric measures (post-bronchodilator FEV1 and FEV1/FVC). We also conducted meta-analysis of FEV1 and FEV1/FVC GWAS in the COPDGene, ECLIPSE, and GenKOLS cohorts (total n = 13,532). Among NHW in the COPDGene cohort, both measures of pulmonary function were significantly associated with SNPs at the 15q25 locus [containing CHRNA3/5, AGPHD1, IREB2, CHRNB4] (lowest p-value = 2.17 × 10(-11)), and FEV1/FVC was associated with a genomic region on chromosome 4 [upstream of HHIP] (lowest p-value = 5.94 × 10(-10)); both regions have been previously associated with COPD. For the meta-analysis, in addition to confirming associations to the regions near CHRNA3/5 and HHIP, genome-wide significant associations were identified for FEV1 on chromosome 1 [TGFB2] (p-value = 8.99 × 10(-9)), 9 [DBH] (p-value = 9.69 × 10(-9)) and 19 [CYP2A6/7] (p-value = 3.49 × 10(-8)) and for FEV1/FVC on chromosome 1 [TGFB2] (p-value = 8.99 × 10(-9)), 4 [FAM13A] (p-value = 3.88 × 10(-12)), 11 [MMP3/12] (p-value = 3.29 × 10(-10)) and 14 [RIN3] (p-value = 5.64 × 10(-9)). In a large genome-wide association study of lung function in smokers, we found genome-wide significant associations at several previously described loci with lung function or COPD. We additionally identified a novel genome-wide significant locus with FEV1 on chromosome 9 [DBH] in a meta-analysis of three study populations.

A trans-ethnic genome-wide association study identifies gender-specific loci influencing pediatric aBMD and BMC at the distal radius.

Science.gov (United States)

Chesi, Alessandra; Mitchell, Jonathan A; Kalkwarf, Heidi J; Bradfield, Jonathan P; Lappe, Joan M; McCormack, Shana E; Gilsanz, Vicente; Oberfield, Sharon E; Hakonarson, Hakon; Shepherd, John A; Kelly, Andrea; Zemel, Babette S; Grant, Struan F A

2015-09-01

Childhood fractures are common, with the forearm being the most common site. Genome-wide association studies (GWAS) have identified more than 60 loci associated with bone mineral density (BMD) in adults but less is known about genetic influences specific to bone in childhood. To identify novel genetic factors that influence pediatric bone strength at a common site for childhood fractures, we performed a sex-stratified trans-ethnic genome-wide association study of areal BMD (aBMD) and bone mineral content (BMC) Z-scores measured by dual energy X-ray absorptiometry at the one-third distal radius, in a cohort of 1399 children without clinical abnormalities in bone health. We tested signals with P BMC-Z). Signals at the CPED1-WNT16-FAM3C locus have been previously associated with BMD at other skeletal sites in adults and children. Our result at the distal radius underscores the importance of this locus at multiple skeletal sites. The 9p21.3 locus is within a gene desert, with the nearest gene flanking each side being MIR31HG and MTAP, neither of which has been implicated in BMD or BMC previously. These findings suggest that genetic determinants of childhood bone accretion at the radius, a skeletal site that is primarily cortical bone, exist and also differ by sex. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Association mapping of partitioning loci in barley

Directory of Open Access Journals (Sweden)

Mackay Ian J

2008-02-01

Full Text Available Abstract Background Association mapping, initially developed in human disease genetics, is now being applied to plant species. The model species Arabidopsis provided some of the first examples of association mapping in plants, identifying previously cloned flowering time genes, despite high population sub-structure. More recently, association genetics has been applied to barley, where breeding activity has resulted in a high degree of population sub-structure. A major genotypic division within barley is that between winter- and spring-sown varieties, which differ in their requirement for vernalization to promote subsequent flowering. To date, all attempts to validate association genetics in barley by identifying major flowering time loci that control vernalization requirement (VRN-H1 and VRN-H2 have failed. Here, we validate the use of association genetics in barley by identifying VRN-H1 and VRN-H2, despite their prominent role in determining population sub-structure. Results By taking barley as a typical inbreeding crop, and seasonal growth habit as a major partitioning phenotype, we develop an association mapping approach which successfully identifies VRN-H1 and VRN-H2, the underlying loci largely responsible for this agronomic division. We find a combination of Structured Association followed by Genomic Control to correct for population structure and inflation of the test statistic, resolved significant associations only with VRN-H1 and the VRN-H2 candidate genes, as well as two genes closely linked to VRN-H1 (HvCSFs1 and HvPHYC. Conclusion We show that, after employing appropriate statistical methods to correct for population sub-structure, the genome-wide partitioning effect of allelic status at VRN-H1 and VRN-H2 does not result in the high levels of spurious association expected to occur in highly structured samples. Furthermore, we demonstrate that both VRN-H1 and the candidate VRN-H2 genes can be identified using association mapping

Mapping of four distinct BCR-related loci to chromosome region 22q11: order of BCR loci relative to chronic myelogenous leukemia and acute lymphoblastic leukemia breakpoints

International Nuclear Information System (INIS)

Croce, C.M.; Huebner, K.; Isobe, M.; Fainstain, E.; Lifshitz, B.; Shtivelman, E.; Canaani, E.

1987-01-01

A probe derived from the 3' region of the BCR gene (breakpoint cluster region gene) detects four distinct loci in the human genome. One of the loci corresponds to the complete BCR gene, whereas the other contain a 3' segment of the gene. After HindIII cleavage of human DNA, these four loci are detected as 23-, 19-, 13-, and 9-kikobase-pair fragments, designated BCR4, BCR3, BCR2, and BCR1, respectively, with BCR1 deriving from the original complete BCR gene. All four BCR loci segregate 100% concordantly with human chromosome 22 in a rodent-human somatic cell hybrid panel and are located at chromosome region 22q11.2 by chromosomal in situ hybridization. The BCR2 and BCR4 loci are amplified in leukemia cell line K562 cells, indicating that they fall within the amplification unit that includes immunoglobulin λ light chain locus (IGL) and ABL locus on the K562 Philadelphia chromosome (Ph 1 ). Similarly, in mouse-human hybrids retaining a Ph 1 chromosome derived from an acute lymphoblastic leukemia-in the absence of the 9q + and 22, only BCR2 and BCR4 loci are retained. Thus, the order of loci on chromosome 22 is centromere → BCR2, BCR4, and IGL → BCR1 → BCR3 → SIS, possibly eliminating BCR2 and BCR4 loci as candidate targets for juxtaposition to the ABL gene in the acute lymphoblastic leukemia Ph 1 chromosome

Nonrandom Distribution of miRNAs Genes and Single Nucleotide Variants in Keratoconus Loci.

Directory of Open Access Journals (Sweden)

Dorota M Nowak

Full Text Available Despite numerous studies, the causes of both development and progression of keratoconus remain elusive. Previous studies of this disorder focused mainly on one or two genetic factors only. However, in the analysis of such complex diseases all potential factors should be taken into consideration. The purpose of this study was a comprehensive analysis of known keratoconus loci to uncover genetic factors involved in this disease causation in the general population, which could be omitted in the original studies. In this investigation genomic data available in various databases and experimental own data were assessed. The lists of single nucleotide variants and miRNA genes localized in reported keratoconus loci were obtained from Ensembl and miRBase, respectively. The potential impact of nonsynonymous amino acid substitutions on protein structure and function was assessed with PolyPhen-2 and SIFT. For selected protein genes the ranking was made to choose those most promising for keratoconus development. Ranking results were based on topological features in the protein-protein interaction network. High specificity for the populations in which the causative sequence variants have been identified was found. In addition, the possibility of links between previously analyzed keratoconus loci was confirmed including miRNA-gene interactions. Identified number of genes associated with oxidative stress and inflammatory agents corroborated the hypothesis of their effect on the disease etiology. Distribution of the numerous sequences variants within both exons and mature miRNA which forces you to search for a broader look at the determinants of keratoconus. Our findings highlight the complexity of the keratoconus genetics.

Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

Science.gov (United States)

Wang, Zhaoming; Zhu, Bin; Zhang, Mingfeng; Parikh, Hemang; Jia, Jinping; Chung, Charles C.; Sampson, Joshua N.; Hoskins, Jason W.; Hutchinson, Amy; Burdette, Laurie; Ibrahim, Abdisamad; Hautman, Christopher; Raj, Preethi S.; Abnet, Christian C.; Adjei, Andrew A.; Ahlbom, Anders; Albanes, Demetrius; Allen, Naomi E.; Ambrosone, Christine B.; Aldrich, Melinda; Amiano, Pilar; Amos, Christopher; Andersson, Ulrika; Andriole, Gerald; Andrulis, Irene L.; Arici, Cecilia; Arslan, Alan A.; Austin, Melissa A.; Baris, Dalsu; Barkauskas, Donald A.; Bassig, Bryan A.; Beane Freeman, Laura E.; Berg, Christine D.; Berndt, Sonja I.; Bertazzi, Pier Alberto; Biritwum, Richard B.; Black, Amanda; Blot, William; Boeing, Heiner; Boffetta, Paolo; Bolton, Kelly; Boutron-Ruault, Marie-Christine; Bracci, Paige M.; Brennan, Paul; Brinton, Louise A.; Brotzman, Michelle; Bueno-de-Mesquita, H. Bas; Buring, Julie E.; Butler, Mary Ann; Cai, Qiuyin; Cancel-Tassin, Geraldine; Canzian, Federico; Cao, Guangwen; Caporaso, Neil E.; Carrato, Alfredo; Carreon, Tania; Carta, Angela; Chang, Gee-Chen; Chang, I-Shou; Chang-Claude, Jenny; Che, Xu; Chen, Chien-Jen; Chen, Chih-Yi; Chen, Chung-Hsing; Chen, Constance; Chen, Kuan-Yu; Chen, Yuh-Min; Chokkalingam, Anand P.; Chu, Lisa W.; Clavel-Chapelon, Francoise; Colditz, Graham A.; Colt, Joanne S.; Conti, David; Cook, Michael B.; Cortessis, Victoria K.; Crawford, E. David; Cussenot, Olivier; Davis, Faith G.; De Vivo, Immaculata; Deng, Xiang; Ding, Ti; Dinney, Colin P.; Di Stefano, Anna Luisa; Diver, W. Ryan; Duell, Eric J.; Elena, Joanne W.; Fan, Jin-Hu; Feigelson, Heather Spencer; Feychting, Maria; Figueroa, Jonine D.; Flanagan, Adrienne M.; Fraumeni, Joseph F.; Freedman, Neal D.; Fridley, Brooke L.; Fuchs, Charles S.; Gago-Dominguez, Manuela; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M.; Garcia-Closas, Montserrat; Garcia-Closas, Reina; Gastier-Foster, Julie M.; Gaziano, J. Michael; Gerhard, Daniela S.; Giffen, Carol A.; Giles, Graham G.; Gillanders, Elizabeth M.; Giovannucci, Edward L.; Goggins, Michael; Gokgoz, Nalan; Goldstein, Alisa M.; Gonzalez, Carlos; Gorlick, Richard; Greene, Mark H.; Gross, Myron; Grossman, H. Barton; Grubb, Robert; Gu, Jian; Guan, Peng; Haiman, Christopher A.; Hallmans, Goran; Hankinson, Susan E.; Harris, Curtis C.; Hartge, Patricia; Hattinger, Claudia; Hayes, Richard B.; He, Qincheng; Helman, Lee; Henderson, Brian E.; Henriksson, Roger; Hoffman-Bolton, Judith; Hohensee, Chancellor; Holly, Elizabeth A.; Hong, Yun-Chul; Hoover, Robert N.; Hosgood, H. Dean; Hsiao, Chin-Fu; Hsing, Ann W.; Hsiung, Chao Agnes; Hu, Nan; Hu, Wei; Hu, Zhibin; Huang, Ming-Shyan; Hunter, David J.; Inskip, Peter D.; Ito, Hidemi; Jacobs, Eric J.; Jacobs, Kevin B.; Jenab, Mazda; Ji, Bu-Tian; Johansen, Christoffer; Johansson, Mattias; Johnson, Alison; Kaaks, Rudolf; Kamat, Ashish M.; Kamineni, Aruna; Karagas, Margaret; Khanna, Chand; Khaw, Kay-Tee; Kim, Christopher; Kim, In-Sam; Kim, Jin Hee; Kim, Yeul Hong; Kim, Young-Chul; Kim, Young Tae; Kang, Chang Hyun; Jung, Yoo Jin; Kitahara, Cari M.; Klein, Alison P.; Klein, Robert; Kogevinas, Manolis; Koh, Woon-Puay; Kohno, Takashi; Kolonel, Laurence N.; Kooperberg, Charles; Kratz, Christian P.; Krogh, Vittorio; Kunitoh, Hideo; Kurtz, Robert C.; Kurucu, Nilgun; Lan, Qing; Lathrop, Mark; Lau, Ching C.; Lecanda, Fernando; Lee, Kyoung-Mu; Lee, Maxwell P.; Le Marchand, Loic; Lerner, Seth P.; Li, Donghui; Liao, Linda M.; Lim, Wei-Yen; Lin, Dongxin; Lin, Jie; Lindstrom, Sara; Linet, Martha S.; Lissowska, Jolanta; Liu, Jianjun; Ljungberg, Börje; Lloreta, Josep; Lu, Daru; Ma, Jing; Malats, Nuria; Mannisto, Satu; Marina, Neyssa; Mastrangelo, Giuseppe; Matsuo, Keitaro; McGlynn, Katherine A.; McKean-Cowdin, Roberta; McNeill, Lorna H.; McWilliams, Robert R.; Melin, Beatrice S.; Meltzer, Paul S.; Mensah, James E.; Miao, Xiaoping; Michaud, Dominique S.; Mondul, Alison M.; Moore, Lee E.; Muir, Kenneth; Niwa, Shelley; Olson, Sara H.; Orr, Nick; Panico, Salvatore; Park, Jae Yong; Patel, Alpa V.; Patino-Garcia, Ana; Pavanello, Sofia; Peeters, Petra H. M.; Peplonska, Beata; Peters, Ulrike; Petersen, Gloria M.; Picci, Piero; Pike, Malcolm C.; Porru, Stefano; Prescott, Jennifer; Pu, Xia; Purdue, Mark P.; Qiao, You-Lin; Rajaraman, Preetha; Riboli, Elio; Risch, Harvey A.; Rodabough, Rebecca J.; Rothman, Nathaniel; Ruder, Avima M.; Ryu, Jeong-Seon; Sanson, Marc; Schned, Alan; Schumacher, Fredrick R.; Schwartz, Ann G.; Schwartz, Kendra L.; Schwenn, Molly; Scotlandi, Katia; Seow, Adeline; Serra, Consol; Serra, Massimo; Sesso, Howard D.; Severi, Gianluca; Shen, Hongbing; Shen, Min; Shete, Sanjay; Shiraishi, Kouya; Shu, Xiao-Ou; Siddiq, Afshan; Sierrasesumaga, Luis; Sierri, Sabina; Loon Sihoe, Alan Dart; Silverman, Debra T.; Simon, Matthias; Southey, Melissa C.; Spector, Logan; Spitz, Margaret; Stampfer, Meir; Stattin, Par; Stern, Mariana C.; Stevens, Victoria L.; Stolzenberg-Solomon, Rachael Z.; Stram, Daniel O.; Strom, Sara S.; Su, Wu-Chou; Sund, Malin; Sung, Sook Whan; Swerdlow, Anthony; Tan, Wen; Tanaka, Hideo; Tang, Wei; Tang, Ze-Zhang; Tardon, Adonina; Tay, Evelyn; Taylor, Philip R.; Tettey, Yao; Thomas, David M.; Tirabosco, Roberto; Tjonneland, Anne; Tobias, Geoffrey S.; Toro, Jorge R.; Travis, Ruth C.; Trichopoulos, Dimitrios; Troisi, Rebecca; Truelove, Ann; Tsai, Ying-Huang; Tucker, Margaret A.; Tumino, Rosario; Van Den Berg, David; Van Den Eeden, Stephen K.; Vermeulen, Roel; Vineis, Paolo; Visvanathan, Kala; Vogel, Ulla; Wang, Chaoyu; Wang, Chengfeng; Wang, Junwen; Wang, Sophia S.; Weiderpass, Elisabete; Weinstein, Stephanie J.; Wentzensen, Nicolas; Wheeler, William; White, Emily; Wiencke, John K.; Wolk, Alicja; Wolpin, Brian M.; Wong, Maria Pik; Wrensch, Margaret; Wu, Chen; Wu, Tangchun; Wu, Xifeng; Wu, Yi-Long; Wunder, Jay S.; Xiang, Yong-Bing; Xu, Jun; Yang, Hannah P.; Yang, Pan-Chyr; Yatabe, Yasushi; Ye, Yuanqing; Yeboah, Edward D.; Yin, Zhihua; Ying, Chen; Yu, Chong-Jen; Yu, Kai; Yuan, Jian-Min; Zanetti, Krista A.; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Zhou, Baosen; Mirabello, Lisa; Savage, Sharon A.; Kraft, Peter; Chanock, Stephen J.; Yeager, Meredith; Landi, Maria Terese; Shi, Jianxin; Chatterjee, Nilanjan; Amundadottir, Laufey T.

2014-01-01

Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10−39; Region 3: rs2853677, P = 3.30 × 10−36 and PConditional = 2.36 × 10−8; Region 4: rs2736098, P = 3.87 × 10−12 and PConditional = 5.19 × 10−6, Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10−6; and Region 6: rs10069690, P = 7.49 × 10−15 and PConditional = 5.35 × 10−7) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10−18 and PConditional = 7.06 × 10−16). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci. PMID:25027329

Nuclear positioning rather than contraction controls ordered rearrangements of immunoglobulin loci.

Science.gov (United States)

Rother, Magdalena B; Palstra, Robert-Jan; Jhunjhunwala, Suchit; van Kester, Kevin A M; van IJcken, Wilfred F J; Hendriks, Rudi W; van Dongen, Jacques J M; Murre, Cornelis; van Zelm, Menno C

2016-01-08

Progenitor-B cells recombine their immunoglobulin (Ig) loci to create unique antigen receptors. Despite a common recombination machinery, the Ig heavy and Ig light chain loci rearrange in a stepwise manner. We studied pre-pro-B cells and Rag(-/-) progenitor-B cells to determine whether Ig locus contraction or nuclear positioning is decisive for stepwise rearrangements. We found that both Ig loci were contracted in pro-B and pre-B cells. Igh relocated from the nuclear lamina to central domains only at the pro-B cell stage, whereas, Igκ remained sequestered at the lamina, and only at the pre-B cell stage located to central nuclear domains. Finally, in vitro induced re-positioning of Ig alleles away from the nuclear periphery increased germline transcription of Ig loci in pre-pro-B cells. Thus, Ig locus contraction juxtaposes genomically distant elements to mediate efficient recombination, however, sequential positioning of Ig loci away from the nuclear periphery determines stage-specific accessibility of Ig loci. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

OpenAIRE

Dastani, Z.; Hivert, M. F.; Timpson, N.; Perry, J. R.; Yuan, X.; Scott, R. A.; Henneman, P.; Heid, I. M.; Kizer, J. R.; Lyytikäinen, L. P.; Fuchsberger, C.; Tanaka, T.; Morris, A. P.; Small, K.; Isaacs, A.

2012-01-01

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a...

Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

OpenAIRE

Dastani, Zari; Hivert, Marie-France; Timpson, Nicholas; Perry, John Richard; Yuan, Xin; Scott, Robert; Henneman, Peter; Heid, Iris M; Kizer, Jorge R; Lyytikäinen, Leo-Pekka; Fuchsberger, Christian; Tanaka, Toshiko; Morris, Andrew P; Small, Kerrin; Isaacs, Aaron

2012-01-01

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = \\(4.5×10^{−8}–1.2×10^{−43}\\)). U...

Genome-wide association study identifies a single major locus contributing to survival into old age; the APOE locus revisited

DEFF Research Database (Denmark)

Deelen, Joris; Beekman, Marian; Uh, Hae-Won

2011-01-01

By studying the loci which contribute to human longevity, we aim to identify mechanisms that contribute to healthy aging. To identify such loci, we performed a genome-wide association study (GWAS) comparing 403 unrelated nonagenarians from long-living families included in the Leiden Longevity Stu...

Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Science.gov (United States)

Beaumont, Robin N; Warrington, Nicole M; Cavadino, Alana; Tyrrell, Jessica; Nodzenski, Michael; Horikoshi, Momoko; Geller, Frank; Myhre, Ronny; Richmond, Rebecca C; Paternoster, Lavinia; Bradfield, Jonathan P; Kreiner-Møller, Eskil; Huikari, Ville; Metrustry, Sarah; Lunetta, Kathryn L; Painter, Jodie N; Hottenga, Jouke-Jan; Allard, Catherine; Barton, Sheila J; Espinosa, Ana; Marsh, Julie A; Potter, Catherine; Zhang, Ge; Ang, Wei; Berry, Diane J; Bouchard, Luigi; Das, Shikta; Hakonarson, Hakon; Heikkinen, Jani; Helgeland, Øyvind; Hocher, Berthold; Hofman, Albert; Inskip, Hazel M; Jones, Samuel E; Kogevinas, Manolis; Lind, Penelope A; Marullo, Letizia; Medland, Sarah E; Murray, Anna; Murray, Jeffrey C; Njølstad, Pål R; Nohr, Ellen A; Reichetzeder, Christoph; Ring, Susan M; Ruth, Katherine S; Santa-Marina, Loreto; Scholtens, Denise M; Sebert, Sylvain; Sengpiel, Verena; Tuke, Marcus A; Vaudel, Marc; Weedon, Michael N; Willemsen, Gonneke; Wood, Andrew R; Yaghootkar, Hanieh; Muglia, Louis J; Bartels, Meike; Relton, Caroline L; Pennell, Craig E; Chatzi, Leda; Estivill, Xavier; Holloway, John W; Boomsma, Dorret I; Montgomery, Grant W; Murabito, Joanne M; Spector, Tim D; Power, Christine; Järvelin, Marjo-Ritta; Bisgaard, Hans; Grant, Struan F A; Sørensen, Thorkild I A; Jaddoe, Vincent W; Jacobsson, Bo; Melbye, Mads; McCarthy, Mark I; Hattersley, Andrew T; Hayes, M Geoffrey; Frayling, Timothy M; Hivert, Marie-France; Felix, Janine F; Hyppönen, Elina; Lowe, William L; Evans, David M; Lawlor, Debbie A; Feenstra, Bjarke

2018-01-01

Abstract Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother–child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 × 10−8. In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights. PMID:29309628

Identification of New Genetic Susceptibility Loci for Breast Cancer Through Consideration of Gene-Environment Interactions

Science.gov (United States)

Schoeps, Anja; Rudolph, Anja; Seibold, Petra; Dunning, Alison M.; Milne, Roger L.; Bojesen, Stig E.; Swerdlow, Anthony; Andrulis, Irene; Brenner, Hermann; Behrens, Sabine; Orr, Nicholas; Jones, Michael; Ashworth, Alan; Li, Jingmei; Cramp, Helen; Connley, Dan; Czene, Kamila; Darabi, Hatef; Chanock, Stephen J.; Lissowska, Jolanta; Figueroa, Jonine D.; Knight, Julia; Glendon, Gord; Mulligan, Anna M.; Dumont, Martine; Severi, Gianluca; Baglietto, Laura; Olson, Janet; Vachon, Celine; Purrington, Kristen; Moisse, Matthieu; Neven, Patrick; Wildiers, Hans; Spurdle, Amanda; Kosma, Veli-Matti; Kataja, Vesa; Hartikainen, Jaana M.; Hamann, Ute; Ko, Yon-Dschun; Dieffenbach, Aida K.; Arndt, Volker; Stegmaier, Christa; Malats, Núria; Arias Perez, JoséI.; Benítez, Javier; Flyger, Henrik; Nordestgaard, Børge G.; Truong, Théresè; Cordina-Duverger, Emilie; Menegaux, Florence; Silva, Isabel dos Santos; Fletcher, Olivia; Johnson, Nichola; Häberle, Lothar; Beckmann, Matthias W.; Ekici, Arif B.; Braaf, Linde; Atsma, Femke; van den Broek, Alexandra J.; Makalic, Enes; Schmidt, Daniel F.; Southey, Melissa C.; Cox, Angela; Simard, Jacques; Giles, Graham G.; Lambrechts, Diether; Mannermaa, Arto; Brauch, Hiltrud; Guénel, Pascal; Peto, Julian; Fasching, Peter A.; Hopper, John; Flesch-Janys, Dieter; Couch, Fergus; Chenevix-Trench, Georgia; Pharoah, Paul D. P.; Garcia-Closas, Montserrat; Schmidt, Marjanka K.; Hall, Per; Easton, Douglas F.; Chang-Claude, Jenny

2014-01-01

Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 × 10−07), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m2 (OR = 1.26, 95% CI 1.15–1.38) but not in women with a BMI of 30 kg/m2 or higher (OR = 0.89, 95% CI 0.72–1.11, P for interaction = 3.2 × 10−05). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci. PMID:24248812

A Bayesian Framework for Generalized Linear Mixed Modeling Identifies New Candidate Loci for Late-Onset Alzheimer's Disease.

Science.gov (United States)

Wang, Xulong; Philip, Vivek M; Ananda, Guruprasad; White, Charles C; Malhotra, Ankit; Michalski, Paul J; Karuturi, Krishna R Murthy; Chintalapudi, Sumana R; Acklin, Casey; Sasner, Michael; Bennett, David A; De Jager, Philip L; Howell, Gareth R; Carter, Gregory W

2018-03-05

Recent technical and methodological advances have greatly enhanced genome-wide association studies (GWAS). The advent of low-cost whole-genome sequencing facilitates high-resolution variant identification, and the development of linear mixed models (LMM) allows improved identification of putatively causal variants. While essential for correcting false positive associations due to sample relatedness and population stratification, LMMs have commonly been restricted to quantitative variables. However, phenotypic traits in association studies are often categorical, coded as binary case-control or ordered variables describing disease stages. To address these issues, we have devised a method for genomic association studies that implements a generalized linear mixed model (GLMM) in a Bayesian framework, called Bayes-GLMM Bayes-GLMM has four major features: (1) support of categorical, binary and quantitative variables; (2) cohesive integration of previous GWAS results for related traits; (3) correction for sample relatedness by mixed modeling; and (4) model estimation by both Markov chain Monte Carlo (MCMC) sampling and maximal likelihood estimation. We applied Bayes-GLMM to the whole-genome sequencing cohort of the Alzheimer's Disease Sequencing Project (ADSP). This study contains 570 individuals from 111 families, each with Alzheimer's disease diagnosed at one of four confidence levels. With Bayes-GLMM we identified four variants in three loci significantly associated with Alzheimer's disease. Two variants, rs140233081 and rs149372995 lie between PRKAR1B and PDGFA The coded proteins are localized to the glial-vascular unit, and PDGFA transcript levels are associated with AD-related neuropathology. In summary, this work provides implementation of a flexible, generalized mixed model approach in a Bayesian framework for association studies. Copyright © 2018, Genetics.

Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders

NARCIS (Netherlands)

den Hoed, M.A.H.; Eijgelsheim, M.; Esko, T.; Brundel, B.J.; Peal, D.S.; Evans, D.M.; Nolte, I.M.; Segrè, A.V.; Holm, H.; Handsaker, R.E.; Westra, H.J.; Johnson, T.; Isaacs, A.; Yang, L.; Lundby, A.; Zhao, J.H.; Kim, Y.J.; Go, M.J.; Almgren, P.; Bochud, M.; Boucher, G.; Cornelis, M.C.; Gudbjartsson, D.F.; Hadley, D.; van der Harst, P.; Hayward, C.; den Heijer, M.; Igl, W.; Jackson, A.U.; Kutalik, Z.; Luan, J.; Kemp, J.P.; Kristiansson, K.; Ladenvall, C.; Lorentzon, M.; Montasser, M.E.; Njajou, O.T.; O'Reilly, P.F.; Padmanabhan, S.; St Pourcain, B.; Rankinen, T.; Salo, P.; Tanaka, T.; Timpson, N.J.; Vitart, V.; Waite, L.; Wheeler, W.; Zhang, W.; Draisma, H.H.M.; Feitosa, M.F.; Kerr, K.F.; Lind, P.A.; Mihailov, E.; Onland-Moret, N.C.; Song, C.; Weedon, M.N.; Xie, W.; Yengo, L.; Absher, D.; Albert, C.M.; Alonso, A.; Arking, D.E.; de Bakker, P.I.; Balkau, B.; Barlassina, C.; Benaglio, P.; Bis, J.C.; Bouatia-Naji, N.; Brage, S.; Chanock, S.J.; Chines, P.S.; Chung, M.; Darbar, D.; Dina, C.; Dörr, M.; Elliott, P.; Felix, S.B.; Fischer, K.; Fuchsberger, C.; de Geus, E.J.C.; Goyette, P.; Gudnason, V.; Harris, T.B.; Hartikainen, A.L.; Havulinna, A.S.; Heckbert, S.R.; Hicks, A.A.; Hofman, A.; Holewijn, S.; Hoogstra-Berends, F.; Hottenga, J.J.; Jensen, M.K.; Johansson, A.; Junttila, J.; Kääb, S.; Kanon, B.; Ketkar, S.; Khaw, K.T.; Knowles, J.W.; Kooner, A.S.; Kors, J.A.; Kumari, M.; Milani, L.; Laiho, P.; Lakatta, E.G.; Langenberg, C.; Leusink, M.; Liu, Y.; Luben, R.N.; Lunetta, K.L.; Lynch, S.N.; Markus, M.R.; Marques-Vidal, P.; Mateo Leach, I.; McArdle, W.L.; McCarroll, S.A.; Medland, S.E.; Miller, K.A.; Montgomery, G.W.; Morrison, A.C.; Müller-Nurasyid, M.; Navarro, P.; Nelis, M.; O'Connell, J.R.; O'Donnell, C.J.; Ong, K.K.; Newman, A.B.; Peters, A.; Polasek, O.; Pouta, A.; Pramstaller, P.P.; Psaty, B.M.; Rao, D.C.; Ring, S.M.; Rossin, E.J.; Rudan, D.; Sanna, S.; Scott, R.A.; Sehmi, J.S.; Sharp, S.; Shin, J.T.; Singleton, A.B.; Smith, A.V.; Soranzo, N.; Spector, T.D.; Stewart, C.; Stringham, H.M.; Tarasov, K.V.; Uitterlinden, A.G.; Vandenput, L.; Hwang, S.J.; Whitfield, J.B.; Wijmenga, C.; Wild, S.H.; Willemsen, G.; Wilson, J.F.; Witteman, J.C.; Wong, A.; Wong, Q.; Jamshidi, Y.; Zitting, P.; Boer, J.M.; Boomsma, D.I.; Borecki, I.B.; van Duijn, C.M.; Ekelund, U.; Forouhi, N.G.; Froguel, P.; Hingorani, A.D.; Ingelsson, E.; Kivimaki, M.; Kronmal, R.A.; Kuh, D; Lind, L.; Martin, N.G.; Oostra, B.A.; Pedersen, N.L.; Quertermous, T.; Rotter, J.I.; van der Schouw, Y.T.; Verschuren, W.M.; Walker, M.; Albanes, D.; Arnar, D.O.; Assimes, T.L.; Bandinelli, S.; Boehnke, M.; de Boer, R.A.; Bouchard, C.; Caulfield, W.L.; Chambers, J.C.; Curhan, G.; Cusi, D.; Eriksson, J.; Ferrucci, L.; van Gilst, W.H.; Glorioso, N.; de Graaf, J.; Groop, L.; Gyllensten, U.; Hsueh, W.C.; Hu, F.B.; Huikuri, H.V.; Hunter, D.J.; Iribarren, C.; Isomaa, B.; Järvelin, M.R.; Jula, A.; Kähönen, M.; Kiemeney, L.A.; van der Klauw, M.M.; Kooner, J.S.; Kraft, P.; Iacoviello, L.; Lehtimäki, T.; Lokki, M.L.; Mitchell, B.D.; Navis, G.; Nieminen, M.S.; Ohlsson, C.; Poulter, N.R.; Qi, L.; Raitakari, O.T.; Rimm, E.B.; Rioux, J.D.; Rizzi, F.; Rudan, I.; Salomaa, V.; Sever, P.S.; Shields, D.C.; Shuldiner, A.R.; Sinisalo, J.; Stanton, A.V.; Stolk, R.P.; Strachan, D.P.; Tardif, J.C.; Thorsteinsdottir, U.; Tuomilehto, J.; van Veldhuisen, D.J.; Virtamo, J.; Viikari, J.; Vollenweider, P.; Waeber, G.; Widen, E.; Cho, Y.S.; Olsen, J.V.; Visscher, P.M.; Willer, C.J.; Franke, L; Erdmann, J.; Thompson, J.R.; Pfeufer, A.; Sotoodehnia, N.; Newton-Cheh, C.; Ellinor, P.T.; Stricker, B.H.C.; Metspalu, A.; Perola, M.; Beckmann, J.S.; Smith, G.D.; Stefansson, K.; Wareham, N.J.; Munroe, P.B.; Sibon, O.C.M.; Milan, D.J.; Snieder, H.; Samani, N.J.; Loos, R.J.

2013-01-01

Elevated resting heart rate is associated with greater risk of cardiovascular disease and mortality. In a 2-stage meta-analysis of genome-wide association studies in up to 181,171 individuals, we identified 14 new loci associated with heart rate and confirmed associations with all 7 previously

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

NARCIS (Netherlands)

Speliotes, Elizabeth K.; Willer, Cristen J.; Berndt, Sonja I.; Monda, Keri L.; Thorleifsson, Gudmar; Jackson, Anne U.; Allen, Hana Lango; Lindgren, Cecilia M.; Luan, Jian'an; Maegi, Reedik; Randall, Joshua C.; Vedantam, Sailaja; Winkler, Thomas W.; Qi, Lu; Workalemahu, Tsegaselassie; Heid, Iris M.; Steinthorsdottir, Valgerdur; Stringham, Heather M.; Weedon, Michael N.; Wheeler, Eleanor; Wood, Andrew R.; Ferreira, Teresa; Weyant, Robert J.; Segre, Ayellet V.; Estrada, Karol; Liang, Liming; Nemesh, James; Park, Ju-Hyun; Gustafsson, Stefan; Kilpelaenen, Tuomas O.; Yang, Jian; Bouatia-Naji, Nabila; Esko, Tonu; Feitosa, Mary F.; Kutalik, Zoltan; Mangino, Massimo; Raychaudhuri, Soumya; Scherag, Andre; Smith, Albert Vernon; Welch, Ryan; Zhao, Jing Hua; Aben, Katja K.; Absher, Devin M.; Amin, Najaf; Dixon, Anna L.; Fisher, Eva; Glazer, Nicole L.; Goddard, Michael E.; Heard-Costa, Nancy L.; van Meurs, Joyce B. J.

2010-01-01

Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and similar to 2.8 million SNPs in up to 123,865 individuals with targeted follow up of

Novel Associations of Nonstructural Loci with Paraoxonase Activity

Directory of Open Access Journals (Sweden)

Ellen E. Quillen

2012-01-01

Full Text Available The high-density-lipoprotein-(HDL- associated esterase paraoxonase 1 (PON1 is a likely contributor to the antioxidant and antiatherosclerotic capabilities of HDL. Two nonsynonymous mutations in the structural gene, PON1, have been associated with variation in activity levels, but substantial interindividual differences remain unexplained and are greatest for substrates other than the eponymous paraoxon. PON1 activity levels were measured for three substrates—organophosphate paraoxon, arylester phenyl acetate, and lactone dihydrocoumarin—in 767 Mexican American individuals from San Antonio, Texas. Genetic influences on activity levels for each substrate were evaluated by association with approximately one million single nucleotide polymorphism (SNPs while conditioning on PON1 genotypes. Significant associations were detected at five loci including regions on chromosomes 4 and 17 known to be associated with atherosclerosis and lipoprotein regulation and loci on chromosome 3 that regulate ubiquitous transcription factors. These loci explain 7.8% of variation in PON1 activity with lactone as a substrate, 5.6% with the arylester, and 3.0% with paraoxon. In light of the potential importance of PON1 in preventing cardiovascular disease/events, these novel loci merit further investigation.

Candidate gene analyses of 3-dimensional dentoalveolar phenotypes in subjects with malocclusion.

Science.gov (United States)

Weaver, Cole A; Miller, Steven F; da Fontoura, Clarissa S G; Wehby, George L; Amendt, Brad A; Holton, Nathan E; Allareddy, Veeratrishul; Southard, Thomas E; Moreno Uribe, Lina M

2017-03-01

Genetic studies of malocclusion etiology have identified 4 deleterious mutations in genes DUSP6,ARHGAP21, FGF23, and ADAMTS1 in familial Class III cases. Although these variants may have large impacts on Class III phenotypic expression, their low frequency (common genetic variations in craniofacial candidate genes and 3-dimensional dentoalveolar phenotypes in patients with malocclusion. Pretreatment dental casts or cone-beam computed tomographic images from 300 healthy subjects were digitized with 48 landmarks. The 3-dimensional coordinate data were submitted to a geometric morphometric approach along with principal component analysis to generate continuous phenotypes including symmetric and asymmetric components of dentoalveolar shape variation, fluctuating asymmetry, and size. The subjects were genotyped for 222 single-nucleotide polymorphisms in 82 genes/loci, and phenotpye-genotype associations were tested via multivariate linear regression. Principal component analysis of symmetric variation identified 4 components that explained 68% of the total variance and depicted anteroposterior, vertical, and transverse dentoalveolar discrepancies. Suggestive associations (P centroid size, a proxy for dentoalveolar size variation with 4p16.1 and SNAI1. Specific genetic pathways associated with 3-dimensional dentoalveolar phenotypic variation in malocclusions were identified. Copyright © 2016 American Association of Orthodontists. Published by Elsevier Inc. All rights reserved.

Evolutionary dynamics of mating-type loci of Mycosphaerella spp. occurring on banana.

Science.gov (United States)

Arzanlou, Mahdi; Crous, Pedro W; Zwiers, Lute-Harm

2010-01-01

The devastating Sigatoka disease complex of banana is primarily caused by three closely related heterothallic fungi belonging to the genus Mycosphaerella: M. fijiensis, M. musicola, and M. eumusae. Previous phylogenetic work showing common ancestry led us to analyze the mating-type loci of these Mycosphaerella species occurring on banana. We reasoned that this might provide better insight into the evolutionary history of these species. PCR and chromosome-walking approaches were used to clone the mating-type loci of M. musicola and M. eumusae. Sequences were compared to the published mating-type loci of M. fijiensis and other Mycosphaerella spp., and a novel organization of the MAT loci was found. The mating-type loci of the examined Mycosphaerella species are expanded, containing two additional Mycosphaerella-specific genes in a unique genomic organization. The proteins encoded by these novel genes show a higher interspecies than intraspecies homology. Moreover, M. fijiensis, M. musicola, and M. eumusae contain two additional mating-type-like loci, containing parts of both MAT1-1-1 and MAT1-2-1. The data indicate that M. fijiensis, M. musicola, and M. eumusae share an ancestor in which a fusion event occurred between MAT1-1-1 and MAT1-2-1 sequences and in which additional genes became incorporated into the idiomorph. The new genes incorporated have since then evolved independently in the MAT1-1 and MAT1-2 loci. Thus, these data are an example of the evolutionary dynamics of fungal MAT loci in general and show the great flexibility of the MAT loci of Mycosphaerella species in particular.

Evidence of gene-environment interactions between common breast cancer susceptibility loci and established environmental risk factors

DEFF Research Database (Denmark)

Nickels, Stefan; Truong, Thérèse; Hein, Rebecca

2013-01-01

Various common genetic susceptibility loci have been identified for breast cancer; however, it is unclear how they combine with lifestyle/environmental risk factors to influence risk. We undertook an international collaborative study to assess gene-environment interaction for risk of breast cance...

Evidence of gene-environment interactions between common breast cancer susceptibility loci and established environmental risk factors

NARCIS (Netherlands)

Nickels, S.; Truong, T.; Hein, R.; Stevens, K.; Buck, K.; Behrens, S.; Eilber, U.; Schmidt, M.; Haberle, L.; Vrieling, A.; Gaudet, M.; Figueroa, J.; Schoof, N.; Spurdle, A.B.; Rudolph, A.; Fasching, P.A.; Hopper, J.L.; Makalic, E.; Schmidt, D.F.; Southey, M.C.; Beckmann, M.W.; Ekici, A.B.; Fletcher, O.; Gibson, L.; Idos, S. Silva; Peto, J.; Humphreys, M.K.; Wang, J; Cordina-Duverger, E.; Menegaux, F.; Nordestgaard, B.G.; Bojesen, S.E.; Lanng, C.; Anton-Culver, H.; Ziogas, A.; Bernstein, L.; Clarke, C.A.; Brenner, H.; Muller, H.; Arndt, V.; Stegmaier, C.; Brauch, H.; Bruning, T.; Harth, V.; Genica, N.; Mannermaa, A.; Kataja, V.; Kosma, V.M.; Hartikainen, J.M.; Lambrechts, D.; Smeets, D.; Neven, P.; Paridaens, R.; Flesch-Janys, D.; Obi, N.; Wang-Gohrke, S.; Couch, F.J.; Olson, J.E.; Vachon, C.M.; Giles, G.G.; Severi, G.; Baglietto, L.; Offit, K.; John, E.M.; Miron, A.; Andrulis, I.L.; Knight, J.A.; Glendon, G.; Mulligan, A.M.; Chanock, S.J.; Lissowska, J.; Liu, J.; Cox, A; Cramp, H.; Connley, D.; Balasubramanian, S.; Dunning, A.M.; Shah, M.; Trentham-Dietz, A.; Newcomb, P.; Titus, L.; Egan, K.; Cahoon, E.K.; Rajaraman, P.; Sigurdson, A.J.; Doody, M.M.; Guenel, P.; Pharoah, P.D.; Schmidt, M.K.; Hall, P.; Easton, D.F.; Garcia-Closas, M.; Milne, R.L.; Chang-Claude, J.; et al.,

2013-01-01

Various common genetic susceptibility loci have been identified for breast cancer; however, it is unclear how they combine with lifestyle/environmental risk factors to influence risk. We undertook an international collaborative study to assess gene-environment interaction for risk of breast cancer.

Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer

Czech Academy of Sciences Publication Activity Database

Wolpin, B. M.; Rizzato, C.; Kraft, P.; Kooperberg, Ch.; Petersen, G. M.; Wang, Z.; Arslan, A. A.; Beane-Freeman, L.; Bracci, P. M.; Buring, J.; Canzian, F.; Duell, E. J.; Gallinger, S.; Giles, G.G.; Goodman, G. E.; Goodman, P. J.; Jacobs, E. J.; Kamineni, A.; Klein, A. P.; Kolonel, L. N.; Kulke, M. H.; Li, D.; Malats, N.; Olson, S. H.; Risch, H. A.; Sesso, H. D.; Visvanathan, K.; White, E.; Zheng, W.; Abnet, Ch. C.; Albanes, D.; Andreotti, G.; Austin, M. A.; Barfield, R.; Basso, D.; Berndt, S. I.; Boutron-Ruault, M. Ch.; Brotzman, M.; Büchler, M. W.; Bueno-de-Mesquita, H. B.; Bugert, P.; Burdette, L.; Campa, D.; Caporaso, N. E.; Capurso, G.; Chung, Ch.; Cotterchio, M.; Costello, E.; Elena, J.; Funel, N.; Gaziano, J. M.; Giese, N. A.; Giovannucci, E. L.; Goggins, M.; Gorman, M. J.; Gross, M.; Haiman, Ch. A.; Hassan, M.; Helzlsouer, K. J.; Henderson, B. E.; Holly, E. A.; Hu, N.; Hunter, D. J.; Innocenti, F.; Jenab, M.; Kaaks, R.; Key, T. J.; Khaw, K. T.; Klein, E. A.; Kogevinas, M.; Krogh, V.; Kupcinskas, J.; Kurtz, R. C.; LaCroix, A.; Landi, M. T.; Landi, S.; Le Marchand, L.; Mambrini, A.; Mannisto, S.; Milne, R. L.; Nakamura, Y.; Oberg, A. L.; Owzar, K.; Patel, A. V.; Peeters, P. H. M.; Peters, U.; Pezzilli, R.; Piepoli, A.; Porta, M.; Real, F. X.; Riboli, E.; Rothman, N.; Scarpa, A.; Shu, X. O.; Silverman, D. T.; Souček, P.; Sund, M.; Talar-Wojnarowska, R.; Taylor, P. R.; Theodoropoulos, G. E.; Thornquist, M.; Tjonneland, A.; Tobias, G. S.; Trichopoulos, D.; Vodička, Pavel; Wactawski-Wende, J.; Wentzensen, N.; Wu, Ch.; Yu, H.; Yu, K.; Zeleniuch-Jacquotte, A.; Hoover, R.; Hartge, P.; Fuchs, Ch.; Chanock, S. J.; Stolzenberg-Solomon, R. S.; Amundadottir, L. T.

2014-01-01

Roč. 46, č. 9 (2014), s. 994-1000 ISSN 1061-4036 Institutional support: RVO:68378041 Keywords : disease * variants * genetic susceptibility Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 29.352, year: 2014

Using Genotyping by Sequencing to Map Two Novel Anthracnose Resistance Loci in Sorghum bicolor.

Science.gov (United States)

J Felderhoff, Terry; M McIntyre, Lauren; Saballos, Ana; Vermerris, Wilfred

2016-07-07

Colletotrichum sublineola is an aggressive fungal pathogen that causes anthracnose in sorghum [Sorghum bicolor (L.) Moench]. The obvious symptoms of anthracnose are leaf blight and stem rot. Sorghum, the fifth most widely grown cereal crop in the world, can be highly susceptible to the disease, most notably in hot and humid environments. In the southeastern United States the acreage of sorghum has been increasing steadily in recent years, spurred by growing interest in producing biofuels, bio-based products, and animal feed. Resistance to anthracnose is, therefore, of paramount importance for successful sorghum production in this region. To identify anthracnose resistance loci present in the highly resistant cultivar 'Bk7', a biparental mapping population of F3:4 and F4:5 sorghum lines was generated by crossing 'Bk7' with the susceptible inbred 'Early Hegari-Sart'. Lines were phenotyped in three environments and in two different years following natural infection. The population was genotyped by sequencing. Following a stringent custom filtering protocol, totals of 5186 and 2759 informative SNP markers were identified in the two populations. Segregation data and association analysis identified resistance loci on chromosomes 7 and 9, with the resistance alleles derived from 'Bk7'. Both loci contain multiple classes of defense-related genes based on sequence similarity and gene ontologies. Genetic analysis following an independent selection experiment of lines derived from a cross between 'Bk7' and sweet sorghum 'Mer81-4' narrowed the resistance locus on chromosome 9 substantially, validating this QTL. As observed in other species, sorghum appears to have regions of clustered resistance genes. Further characterization of these regions will facilitate the development of novel germplasm with resistance to anthracnose and other diseases. Copyright © 2016 Felderhoff et al.

Genome-wide analysis reveals loci encoding anti-macrophage factors in the human pathogen Burkholderia pseudomallei K96243.

Directory of Open Access Journals (Sweden)

Andrea J Dowling

2010-12-01

Full Text Available Burkholderia pseudomallei is an important human pathogen whose infection biology is still poorly understood. The bacterium is endemic to tropical regions, including South East Asia and Northern Australia, where it causes melioidosis, a serious disease associated with both high mortality and antibiotic resistance. B. pseudomallei is a Gram-negative facultative intracellular pathogen that is able to replicate in macrophages. However despite the critical nature of its interaction with macrophages, few anti-macrophage factors have been characterized to date. Here we perform a genome-wide gain of function screen of B. pseudomallei strain K96243 to identify loci encoding factors with anti-macrophage activity. We identify a total of 113 such loci scattered across both chromosomes, with positive gene clusters encoding transporters and secretion systems, enzymes/toxins, secondary metabolite, biofilm, adhesion and signal response related factors. Further phenotypic analysis of four of these regions shows that the encoded factors cause striking cellular phenotypes relevant to infection biology, including apoptosis, formation of actin 'tails' and multi-nucleation within treated macrophages. The detailed analysis of the remaining host of loci will facilitate genetic dissection of the interaction of this important pathogen with host macrophages and thus further elucidate this critical part of its infection cycle.

Genome-wide quantitative trait loci mapping of the human cerebrospinal fluid proteome.

Science.gov (United States)

Sasayama, Daimei; Hattori, Kotaro; Ogawa, Shintaro; Yokota, Yuuki; Matsumura, Ryo; Teraishi, Toshiya; Hori, Hiroaki; Ota, Miho; Yoshida, Sumiko; Kunugi, Hiroshi

2017-01-01

Cerebrospinal fluid (CSF) is virtually the only one accessible source of proteins derived from the central nervous system (CNS) of living humans and possibly reflects the pathophysiology of a variety of neuropsychiatric diseases. However, little is known regarding the genetic basis of variation in protein levels of human CSF. We examined CSF levels of 1,126 proteins in 133 subjects and performed a genome-wide association analysis of 514,227 single nucleotide polymorphisms (SNPs) to detect protein quantitative trait loci (pQTLs). To be conservative, Spearman's correlation was used to identify an association between genotypes of SNPs and protein levels. A total of 421 cis and 25 trans SNP-protein pairs were significantly correlated at a false discovery rate (FDR) of less than 0.01 (nominal P genome-wide association studies. The present findings suggest that genetic variations play an important role in the regulation of protein expression in the CNS. The obtained database may serve as a valuable resource to understand the genetic bases for CNS protein expression pattern in humans. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21

Science.gov (United States)

Zhang, Mingfeng; Wang, Zhaoming; Obazee, Ofure; Jia, Jinping; Childs, Erica J.; Hoskins, Jason; Figlioli, Gisella; Mocci, Evelina; Collins, Irene; Chung, Charles C.; Hautman, Christopher; Arslan, Alan A.; Beane-Freeman, Laura; Bracci, Paige M.; Buring, Julie; Duell, Eric J.; Gallinger, Steven; Giles, Graham G.; Goodman, Gary E.; Goodman, Phyllis J.; Kamineni, Aruna; Kolonel, Laurence N.; Kulke, Matthew H.; Malats, Núria; Olson, Sara H.; Sesso, Howard D.; Visvanathan, Kala; White, Emily; Zheng, Wei; Abnet, Christian C.; Albanes, Demetrius; Andreotti, Gabriella; Brais, Lauren; Bueno-de-Mesquita, H. Bas; Basso, Daniela; Berndt, Sonja I.; Boutron-Ruault, Marie-Christine; Bijlsma, Maarten F.; Brenner, Hermann; Burdette, Laurie; Campa, Daniele; Caporaso, Neil E.; Capurso, Gabriele; Cavestro, Giulia Martina; Cotterchio, Michelle; Costello, Eithne; Elena, Joanne; Boggi, Ugo; Gaziano, J. Michael; Gazouli, Maria; Giovannucci, Edward L.; Goggins, Michael; Gross, Myron; Haiman, Christopher A.; Hassan, Manal; Helzlsouer, Kathy J.; Hu, Nan; Hunter, David J.; Iskierka-Jazdzewska, Elzbieta; Jenab, Mazda; Kaaks, Rudolf; Key, Timothy J.; Khaw, Kay-Tee; Klein, Eric A.; Kogevinas, Manolis; Krogh, Vittorio; Kupcinskas, Juozas; Kurtz, Robert C.; Landi, Maria T.; Landi, Stefano; Marchand, Le Loic; Mambrini, Andrea; Mannisto, Satu; Milne, Roger L.; Neale, Rachel E.; Oberg, Ann L.; Panico, Salvatore; Patel, Alpa V.; Peeters, Petra H. M.; Peters, Ulrike; Pezzilli, Raffaele; Porta, Miquel; Purdue, Mark; Quiros, J. Ramón; Riboli, Elio; Rothman, Nathaniel; Scarpa, Aldo; Scelo, Ghislaine; Shu, Xiao-Ou; Silverman, Debra T.; Soucek, Pavel; Strobel, Oliver; Sund, Malin; Małecka-Panas, Ewa; Taylor, Philip R.; Tavano, Francesca; Travis, Ruth C.; Thornquist, Mark; Tjønneland, Anne; Tobias, Geoffrey S.; Trichopoulos, Dimitrios; Vashist, Yogesh; Vodicka, Pavel; Wactawski-Wende, Jean; Wentzensen, Nicolas; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Kooperberg, Charles; Risch, Harvey A.; Jacobs, Eric J.; Li, Donghui; Fuchs, Charles; Hoover, Robert; Hartge, Patricia; Chanock, Stephen J.; Petersen, Gloria M.; Stolzenberg-Solomon, Rachael S.; Wolpin, Brian M.; Kraft, Peter; Klein, Alison P.; Canzian, Federico; Amundadottir, Laufey T.

2016-01-01

Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88×10−15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22×10−9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70×10−8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 (NR5A2), chr8q24.21 (MYC) and chr5p15.33 (CLPTM1L-TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal (n = 10) and tumor (n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7×10−8). This finding was validated in a second set of paired (n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5×10−4-2.0×10−3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology. PMID:27579533

PHYLUCE is a software package for the analysis of conserved genomic loci.

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Faircloth, Brant C

2016-03-01

Targeted enrichment of conserved and ultraconserved genomic elements allows universal collection of phylogenomic data from hundreds of species at multiple time scales ( 300 Ma). Prior to downstream inference, data from these types of targeted enrichment studies must undergo preprocessing to assemble contigs from sequence data; identify targeted, enriched loci from the off-target background data; align enriched contigs representing conserved loci to one another; and prepare and manipulate these alignments for subsequent phylogenomic inference. PHYLUCE is an efficient and easy-to-install software package that accomplishes these tasks across hundreds of taxa and thousands of enriched loci. PHYLUCE is written for Python 2.7. PHYLUCE is supported on OSX and Linux (RedHat/CentOS) operating systems. PHYLUCE source code is distributed under a BSD-style license from https://www.github.com/faircloth-lab/phyluce/ PHYLUCE is also available as a package (https://binstar.org/faircloth-lab/phyluce) for the Anaconda Python distribution that installs all dependencies, and users can request a PHYLUCE instance on iPlant Atmosphere (tag: phyluce). The software manual and a tutorial are available from http://phyluce.readthedocs.org/en/latest/ and test data are available from doi: 10.6084/m9.figshare.1284521. brant@faircloth-lab.org Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Identification and characterization of microsatellite loci in two socially complex old world tropical babblers (Family Timaliidae).

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Kaiser, Sara A; Danner, J E; Bergner, Laura; Fleischer, Robert C

2015-11-24

Although the highest diversity of birds occurs in tropical regions, little is known about the genetic mating systems of most tropical species. We describe microsatellite markers isolated in the chestnut-crested yuhina (Staphida everetti), endemic to the island of Borneo, and the grey-throated babbler (Stachyris nigriceps), widely distributed across Southeast Asia. Both species belong to the avian family Timaliidae and are highly social, putatively cooperatively breeding birds in which helpers attend the nests of members of their social group. We obtained DNA from individuals in social groups breeding in Kinabalu Park, Malaysian Borneo. We used a shotgun sequencing approach and 454-technology to identify 36 microsatellite loci in the yuhina and 40 in the babbler. We tested 13 primer pairs in yuhinas and 20 in babblers and characterized eight polymorphic loci in 20 unrelated female yuhinas and 21 unrelated female babblers. Polymorphism at the yuhina loci ranged from 3 to 9 alleles, observed heterozygosities from 0.58 to 1.00, and expected heterozygosities from 0.64 to 0.81. Polymorphism at the babbler loci ranged from 3 to 12 alleles, observed heterozygosities from 0.14 to 0.90 and expected heterozygosities from 0.14 to 0.87. One locus in the yuhina deviated significantly from Hardy-Weinberg equilibrium. We detected nonrandom allele associations between two pairs of microsatellite loci in each species. Microsatellite markers will be used to describe the genetic mating system of these socially complex species and to measure genetic parentage and relatedness within social groups.

Genius loci jako estetický problém

OpenAIRE

Křížová, Lucie

2016-01-01

(in English): Diploma thesis Genius loci as an aesthetic problem is addressed by defining the concept of genius loci and exploring its aesthetic implications and parallels. After clarification of the ontological nature of this phenomenon its commonalities will be monitored with selected concepts of environmental philosophy and aesthetics, especially the aesthetic dimension of the environmental experience. Publications of Christian Norberg-Schulz and David E. Cooper are used as a starting mate...

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

NARCIS (Netherlands)

Dupuis, J.; Langenberg, C.; Prokopenko, I.; Saxena, R.; Soranzo, N.; Jackson, A.U.; Wheeler, E.; Glazer, N.L.; Bouatia-Naji, N.; Gloyn, A.L.; Lindgren, C.M.; Mägi, R.; Morris, A.P.; Randall, J.; Johnson, T.; Hottenga, J.J.; de Geus, E.J.C.; Kaprio, J.; Kyvik, K.O.; Pedersen, N.L.; Perola, M.; Posthuma, D.; Rivadeneira, F.; Uitterlinden, A.G.; Willems van Dijk, K.; van Hoek, M.; Vogelzangs, N.; Willemsen, G.; Witteman, J.C.M.; Zillikens, M.C.; Penninx, B.W.J.H.; Boomsma, D.I.; van Duijn, C.M.; Aulchenko, Y.S.; Waterworth, D.; Vollenweider, P.; Peltonen, L.; Mooser, V.; Abecasis, G.R.; Wareham, N.J.; Sladek, R.; Froguel, P.; Watanabe, R.M.; Meigs, J.B.; Groop, L.C.; Boehnke, M.; McCarthy, M.I.; Florez, J.C.; Barroso, I.

2010-01-01

Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up

Genome-wide meta-analysis of myopia and hyperopia provides evidence for replication of 11 loci.

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Claire L Simpson

Full Text Available Refractive error (RE is a complex, multifactorial disorder characterized by a mismatch between the optical power of the eye and its axial length that causes object images to be focused off the retina. The two major subtypes of RE are myopia (nearsightedness and hyperopia (farsightedness, which represent opposite ends of the distribution of the quantitative measure of spherical refraction. We performed a fixed effects meta-analysis of genome-wide association results of myopia and hyperopia from 9 studies of European-derived populations: AREDS, KORA, FES, OGP-Talana, MESA, RSI, RSII, RSIII and ERF. One genome-wide significant region was observed for myopia, corresponding to a previously identified myopia locus on 8q12 (p = 1.25×10(-8, which has been reported by Kiefer et al. as significantly associated with myopia age at onset and Verhoeven et al. as significantly associated to mean spherical-equivalent (MSE refractive error. We observed two genome-wide significant associations with hyperopia. These regions overlapped with loci on 15q14 (minimum p value = 9.11×10(-11 and 8q12 (minimum p value 1.82×10(-11 previously reported for MSE and myopia age at onset. We also used an intermarker linkage- disequilibrium-based method for calculating the effective number of tests in targeted regional replication analyses. We analyzed myopia (which represents the closest phenotype in our data to the one used by Kiefer et al. and showed replication of 10 additional loci associated with myopia previously reported by Kiefer et al. This is the first replication of these loci using myopia as the trait under analysis. "Replication-level" association was also seen between hyperopia and 12 of Kiefer et al.'s published loci. For the loci that show evidence of association to both myopia and hyperopia, the estimated effect of the risk alleles were in opposite directions for the two traits. This suggests that these loci are important contributors to variation of

Genetic Sharing with Cardiovascular Disease Risk Factors and Diabetes Reveals Novel Bone Mineral Density Loci.

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Sjur Reppe

Full Text Available Bone Mineral Density (BMD is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, but the nature of the suggestive comorbidity is still unknown. We used a novel genetic pleiotropy-informed conditional False Discovery Rate (FDR method to identify single nucleotide polymorphisms (SNPs associated with BMD by leveraging cardiovascular disease (CVD associated disorders and metabolic traits. By conditioning on SNPs associated with the CVD-related phenotypes, type 1 diabetes, type 2 diabetes, systolic blood pressure, diastolic blood pressure, high density lipoprotein, low density lipoprotein, triglycerides and waist hip ratio, we identified 65 novel independent BMD loci (26 with femoral neck BMD and 47 with lumbar spine BMD at conditional FDR < 0.01. Many of the loci were confirmed in genetic expression studies. Genes validated at the mRNA levels were characteristic for the osteoblast/osteocyte lineage, Wnt signaling pathway and bone metabolism. The results provide new insight into genetic mechanisms of variability in BMD, and a better understanding of the genetic underpinnings of clinical comorbidity.

Isolation and characterization of microsatellite loci from the Arctic cisco (Coregonus autumnalis)

Science.gov (United States)

Ramey, A.; Graziano, S.L.; Nielsen, J.L.

2008-01-01

Eight polymorphic microsatellite loci were isolated and characterized for the Arctic cisco, Coregonus autumnalis. Loci were evaluated in 21 samples from the Colville River subsistence fishery. The number of alleles per locus ranged from two to 18. Observed heterozygosity of loci varied from 0.10 to 1.00, and expected heterozygosity ranged from 0.09 to 0.92. All eight microsatellite markers were in Hardy-Weinberg equilibrium. The loci presented here will be useful in describing population structure and exploring populations of origin for Arctic cisco. ?? 2007 Blackwell Publishing Ltd.

Replication of prostate cancer risk loci in a Japanese case-control association study.

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Yamada, Hiroki; Penney, Kathryn L; Takahashi, Hiroyuki; Katoh, Takahiko; Yamano, Yuko; Yamakado, Minoru; Kimura, Takahiro; Kuruma, Hidetoshi; Kamata, Yuko; Egawa, Shin; Freedman, Matthew L

2009-10-07

Two prostate cancer genome-wide scans in populations of European ancestry identified several genetic variants that are strongly associated with prostate cancer risk. The effect of these risk variants and their cumulative effect in other populations are unknown. We evaluated the association of 23 risk single-nucleotide polymorphisms (SNPs) with prostate cancer risk and clinical covariates (Gleason score, tumor aggressiveness, and age at diagnosis) in men of Japanese ancestry (311 case subjects and 1035 control subjects) using unconditional logistic regression. We also used logistic regression to test the association between increasing numbers of independently associated risk alleles and the risk of prostate cancer, prostate cancer aggressiveness, and age at diagnosis. All statistical tests were two-sided. Seven of the 23 SNPs (five independent loci) were associated with prostate cancer risk (P values ranged from .0084 to 2.3 x 10(-8) and effect sizes [estimated as odds ratios, ORs] ranged from 1.35 to 1.82). None of the seven SNPs was associated with Gleason score or aggressive disease. rs6983561 and rs4430796 were associated with age at diagnosis (Ps = .0188 and .0339, respectively). Men with six or more risk alleles (27% of case patients and 11% of control subjects) had a higher risk of prostate cancer than men with two or fewer risk alleles (7% of case patients and 20% of control subjects) (OR = 6.22, P = 1.5 x 10(-12)). These results highlight the critical importance of considering ancestry in understanding how risk alleles influence disease and suggest that risk estimates and variants differ across populations. It is important to perform studies in multiple ancestral populations so that the composite genetic architecture of prostate cancer can be rigorously addressed.

Potential DNA barcodes for Melilotus species based on five single loci and their combinations.

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Fan Wu

Full Text Available Melilotus, an annual or biennial herb, belongs to the tribe Trifolieae (Leguminosae and consists of 19 species. As an important green manure crop, diverse Melilotus species have different values as feed and medicine. To identify different Melilotus species, we examined the efficiency of five candidate regions as barcodes, including the internal transcribed spacer (ITS and two chloroplast loci, rbcL and matK, and two non-coding loci, trnH-psbA and trnL-F. In total, 198 individuals from 98 accessions representing 18 Melilotus species were sequenced for these five potential barcodes. Based on inter-specific divergence, we analysed sequences and confirmed that each candidate barcode was able to identify some of the 18 species. The resolution of a single barcode and its combinations ranged from 33.33% to 88.89%. Analysis of pairwise distances showed that matK+rbcL+trnL-F+trnH-psbA+ITS (MRTPI had the greatest value and rbcL the least. Barcode gap values and similarity value analyses confirmed these trends. The results indicated that an ITS region, successfully identifying 13 of 18 species, was the most appropriate single barcode and that the combination of all five potential barcodes identified 16 of the 18 species. We conclude that MRTPI is the most effective tool for Melilotus species identification. Taking full advantage of the barcode system, a clear taxonomic relationship can be applied to identify Melilotus species and enhance their practical production.

TAS3 miR390-dependent loci in non-vascular land plants: towards a comprehensive reconstruction of the gene evolutionary history

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Sergey Y. Morozov

2018-04-01

Full Text Available Trans-acting small interfering RNAs (ta-siRNAs are transcribed from protein non-coding genomic TAS loci and belong to a plant-specific class of endogenous small RNAs. These siRNAs have been found to regulate gene expression in most taxa including seed plants, gymnosperms, ferns and mosses. In this study, bioinformatic and experimental PCR-based approaches were used as tools to analyze TAS3 and TAS6 loci in transcriptomes and genomic DNAs from representatives of evolutionary distant non-vascular plant taxa such as Bryophyta, Marchantiophyta and Anthocerotophyta. We revealed previously undiscovered TAS3 loci in plant classes Sphagnopsida and Anthocerotopsida, as well as TAS6 loci in Bryophyta classes Tetraphidiopsida, Polytrichopsida, Andreaeopsida and Takakiopsida. These data further unveil the evolutionary pathway of the miR390-dependent TAS3 loci in land plants. We also identified charophyte alga sequences coding for SUPPRESSOR OF GENE SILENCING 3 (SGS3, which is required for generation of ta-siRNAs in plants, and hypothesized that the appearance of TAS3-related sequences could take place at a very early step in evolutionary transition from charophyte algae to an earliest common ancestor of land plants.

TAS3 miR390-dependent loci in non-vascular land plants: towards a comprehensive reconstruction of the gene evolutionary history.

Science.gov (United States)

Morozov, Sergey Y; Milyutina, Irina A; Erokhina, Tatiana N; Ozerova, Liudmila V; Troitsky, Alexey V; Solovyev, Andrey G

2018-01-01

Trans-acting small interfering RNAs (ta-siRNAs) are transcribed from protein non-coding genomic TAS loci and belong to a plant-specific class of endogenous small RNAs. These siRNAs have been found to regulate gene expression in most taxa including seed plants, gymnosperms, ferns and mosses. In this study, bioinformatic and experimental PCR-based approaches were used as tools to analyze TAS3 and TAS6 loci in transcriptomes and genomic DNAs from representatives of evolutionary distant non-vascular plant taxa such as Bryophyta, Marchantiophyta and Anthocerotophyta. We revealed previously undiscovered TAS3 loci in plant classes Sphagnopsida and Anthocerotopsida, as well as TAS6 loci in Bryophyta classes Tetraphidiopsida, Polytrichopsida, Andreaeopsida and Takakiopsida. These data further unveil the evolutionary pathway of the miR390-dependent TAS3 loci in land plants. We also identified charophyte alga sequences coding for SUPPRESSOR OF GENE SILENCING 3 (SGS3), which is required for generation of ta-siRNAs in plants, and hypothesized that the appearance of TAS3-related sequences could take place at a very early step in evolutionary transition from charophyte algae to an earliest common ancestor of land plants.

Comparative genomic analysis uncovers 3 novel loci encoding type six secretion systems differentially distributed in Salmonella serotypes

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Santiviago Carlos A

2009-08-01

Full Text Available Abstract Background The recently described Type VI Secretion System (T6SS represents a new paradigm of protein secretion in bacteria. A number of bioinformatic studies have been conducted to identify T6SS gene clusters in the available bacterial genome sequences. According to these studies, Salmonella harbors a unique T6SS encoded in the Salmonella Pathogenicity Island 6 (SPI-6. Since these studies only considered few Salmonella genomes, the present work aimed to identify novel T6SS loci by in silico analysis of every genome sequence of Salmonella available. Results The analysis of sequencing data from 44 completed or in progress Salmonella genome projects allowed the identification of 3 novel T6SS loci. These clusters are located in differentially-distributed genomic islands we designated SPI-19, SPI-20 and SPI-21, respectively. SPI-19 was identified in a subset of S. enterica serotypes including Dublin, Weltevreden, Agona, Gallinarum and Enteritidis. In the later, an internal deletion eliminated most of the island. On the other hand, SPI-20 and SPI-21 were restricted to S. enterica subspecies arizonae (IIIa serotype 62:z4,z23:-. Remarkably, SPI-21 encodes a VgrG protein containing a C-terminal extension similar to S-type pyocins of Pseudomonas aeruginosa. This is not only the first evolved VgrG described in Salmonella, but also the first evolved VgrG including a pyocin domain described so far in the literature. In addition, the data indicate that SPI-6 T6SS is widely distributed in S. enterica and absent in serotypes Enteritidis, Gallinarum, Agona, Javiana, Paratyphi B, Virchow, IIIa 62:z4,z23:- and IIIb 61:1,v:1,5,(7. Interestingly, while some serotypes harbor multiple T6SS (Dublin, Weltvreden and IIIa 62:z4,z23:- others do not encode for any (Enteritidis, Paratyphi B, Javiana, Virchow and IIIb 61:1,v:1,5,(7. Comparative and phylogenetic analyses indicate that the 4 T6SS loci in Salmonella have a distinct evolutionary history. Finally, we

Application of novel polymorphic microsatellite loci identified in the Korean Pacific Abalone (Haliotis diversicolor supertexta (Haliotidae)) in the genetic characterization of wild and released populations.

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An, Hye Suck; Lee, Jang Wook; Hong, Seong Wan

2012-01-01

The small abalone, Haliotis diversicolor supertexta, of the family Haliotidae, is one of the most important species of marine shellfish in eastern Asia. Over the past few decades, this species has drastically declined in Korea. Thus, hatchery-bred seeds have been released into natural coastal areas to compensate for the reduced fishery resources. However, information on the genetic background of the small abalone is scarce. In this study, 20 polymorphic microsatellite DNA markers were identified using next-generation sequencing techniques and used to compare allelic variation between wild and released abalone populations in Korea. Using high-throughput genomic sequencing, a total of 1516 (2.26%; average length of 385 bp) reads containing simple sequence repeats were obtained from 86,011 raw reads. Among the 99 loci screened, 28 amplified successfully, and 20 were polymorphic. When comparing allelic variation between wild and released abalone populations, a total of 243 different alleles were observed, with 18.7 alleles per locus. High genetic diversity (mean heterozygosity = 0.81; mean allelic number = 15.5) was observed in both populations. A statistical analysis of the fixation index (F(ST)) and analysis of molecular variance (AMOVA) indicated limited genetic differences between the two populations (F(ST) = 0.002, p > 0.05). Although no significant reductions in the genetic diversity were found in the released population compared with the wild population (p > 0.05), the genetic diversity parameters revealed that the seeds released for stock abundance had a different genetic composition. These differences are likely a result of hatchery selection and inbreeding. Additionally, all the primer pair sets were effectively amplified in another congeneric species, H. diversicolor diversicolor, indicating that these primers are useful for both abalone species. These microsatellite loci may be valuable for future aquaculture and population genetic studies aimed at

Individual and cumulative effects of GWAS susceptibility loci in lung cancer: associations after sub-phenotyping for COPD.

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Robert P Young

2011-02-01

Full Text Available Epidemiological studies show that approximately 20-30% of chronic smokers develop chronic obstructive pulmonary disease (COPD while 10-15% develop lung cancer. COPD pre-exists lung cancer in 50-90% of cases and has a heritability of 40-77%, much greater than for lung cancer with heritability of 15-25%. These data suggest that smokers susceptible to COPD may also be susceptible to lung cancer. This study examines the association of several overlapping chromosomal loci, recently implicated by GWA studies in COPD, lung function and lung cancer, in (n = 1400 subjects sub-phenotyped for the presence of COPD and matched for smoking exposure. Using this approach we show; the 15q25 locus confers susceptibility to lung cancer and COPD, the 4q31 and 4q22 loci both confer a reduced risk to both COPD and lung cancer, the 6p21 locus confers susceptibility to lung cancer in smokers with pre-existing COPD, the 5p15 and 1q23 loci both confer susceptibility to lung cancer in those with no pre-existing COPD. We also show the 5q33 locus, previously associated with reduced FEV(1, appears to confer susceptibility to both COPD and lung cancer. The 6p21 locus previously linked to reduced FEV(1 is associated with COPD only. Larger studies will be needed to distinguish whether these COPD-related effects may reflect, in part, associations specific to different lung cancer histology. We demonstrate that when the "risk genotypes" derived from the univariate analysis are incorporated into an algorithm with clinical variables, independently associated with lung cancer in multivariate analysis, modest discrimination is possible on receiver operator curve analysis (AUC = 0.70. We suggest that genetic susceptibility to lung cancer includes genes conferring susceptibility to COPD and that sub-phenotyping with spirometry is critical to identifying genes underlying the development of lung cancer.

A novel approach identifying hybrid sterility QTL on the autosomes of Drosophila simulans and D. mauritiana.

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Dickman, Christopher T D; Moehring, Amanda J

2013-01-01

When species interbreed, the hybrid offspring that are produced are often sterile. If only one hybrid sex is sterile, it is almost always the heterogametic (XY or ZW) sex. Taking this trend into account, the predominant model used to explain the genetic basis of F1 sterility involves a deleterious interaction between recessive sex-linked loci from one species and dominant autosomal loci from the other species. This model is difficult to evaluate, however, as only a handful of loci influencing interspecies hybrid sterility have been identified, and their autosomal genetic interactors have remained elusive. One hindrance to their identification has been the overwhelming effect of the sex chromosome in mapping studies, which could 'mask' the ability to accurately map autosomal factors. Here, we use a novel approach employing attached-X chromosomes to create reciprocal backcross interspecies hybrid males that have a non-recombinant sex chromosome and recombinant autosomes. The heritable variation in phenotype is thus solely caused by differences in the autosomes, thereby allowing us to accurately identify the number and location of autosomal sterility loci. In one direction of backcross, all males were sterile, indicating that sterility could be entirely induced by the sex chromosome complement in these males. In the other direction, we identified nine quantitative trait loci that account for a surprisingly large amount (56%) of the autosome-induced phenotypic variance in sterility, with a large contribution of autosome-autosome epistatic interactions. These loci are capable of acting dominantly, and thus could contribute to F1 hybrid sterility.

A novel approach identifying hybrid sterility QTL on the autosomes of Drosophila simulans and D. mauritiana.

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Christopher T D Dickman

Full Text Available When species interbreed, the hybrid offspring that are produced are often sterile. If only one hybrid sex is sterile, it is almost always the heterogametic (XY or ZW sex. Taking this trend into account, the predominant model used to explain the genetic basis of F1 sterility involves a deleterious interaction between recessive sex-linked loci from one species and dominant autosomal loci from the other species. This model is difficult to evaluate, however, as only a handful of loci influencing interspecies hybrid sterility have been identified, and their autosomal genetic interactors have remained elusive. One hindrance to their identification has been the overwhelming effect of the sex chromosome in mapping studies, which could 'mask' the ability to accurately map autosomal factors. Here, we use a novel approach employing attached-X chromosomes to create reciprocal backcross interspecies hybrid males that have a non-recombinant sex chromosome and recombinant autosomes. The heritable variation in phenotype is thus solely caused by differences in the autosomes, thereby allowing us to accurately identify the number and location of autosomal sterility loci. In one direction of backcross, all males were sterile, indicating that sterility could be entirely induced by the sex chromosome complement in these males. In the other direction, we identified nine quantitative trait loci that account for a surprisingly large amount (56% of the autosome-induced phenotypic variance in sterility, with a large contribution of autosome-autosome epistatic interactions. These loci are capable of acting dominantly, and thus could contribute to F1 hybrid sterility.

A meta-analysis of thyroid-related traits reveals novel loci and gender-specific differences in the regulation of thyroid function.

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Eleonora Porcu

Full Text Available Thyroid hormone is essential for normal metabolism and development, and overt abnormalities in thyroid function lead to common endocrine disorders affecting approximately 10% of individuals over their life span. In addition, even mild alterations in thyroid function are associated with weight changes, atrial fibrillation, osteoporosis, and psychiatric disorders. To identify novel variants underlying thyroid function, we performed a large meta-analysis of genome-wide association studies for serum levels of the highly heritable thyroid function markers TSH and FT4, in up to 26,420 and 17,520 euthyroid subjects, respectively. Here we report 26 independent associations, including several novel loci for TSH (PDE10A, VEGFA, IGFBP5, NFIA, SOX9, PRDM11, FGF7, INSR, ABO, MIR1179, NRG1, MBIP, ITPK1, SASH1, GLIS3 and FT4 (LHX3, FOXE1, AADAT, NETO1/FBXO15, LPCAT2/CAPNS2. Notably, only limited overlap was detected between TSH and FT4 associated signals, in spite of the feedback regulation of their circulating levels by the hypothalamic-pituitary-thyroid axis. Five of the reported loci (PDE8B, PDE10A, MAF/LOC440389, NETO1/FBXO15, and LPCAT2/CAPNS2 show strong gender-specific differences, which offer clues for the known sexual dimorphism in thyroid function and related pathologies. Importantly, the TSH-associated loci contribute not only to variation within the normal range, but also to TSH values outside the reference range, suggesting that they may be involved in thyroid dysfunction. Overall, our findings explain, respectively, 5.64% and 2.30% of total TSH and FT4 trait variance, and they improve the current knowledge of the regulation of hypothalamic-pituitary-thyroid axis function and the consequences of genetic variation for hypo- or hyperthyroidism.

A Meta-Analysis of Thyroid-Related Traits Reveals Novel Loci and Gender-Specific Differences in the Regulation of Thyroid Function

Science.gov (United States)

Volpato, Claudia B.; Wilson, Scott G.; Cappola, Anne R.; Bos, Steffan D.; Deelen, Joris; den Heijer, Martin; Freathy, Rachel M.; Lahti, Jari; Liu, Chunyu; Lopez, Lorna M.; Nolte, Ilja M.; O'Connell, Jeffrey R.; Tanaka, Toshiko; Trompet, Stella; Arnold, Alice; Bandinelli, Stefania; Beekman, Marian; Böhringer, Stefan; Brown, Suzanne J.; Buckley, Brendan M.; Camaschella, Clara; de Craen, Anton J. M.; Davies, Gail; de Visser, Marieke C. H.; Ford, Ian; Forsen, Tom; Frayling, Timothy M.; Fugazzola, Laura; Gögele, Martin; Hattersley, Andrew T.; Hermus, Ad R.; Hofman, Albert; Houwing-Duistermaat, Jeanine J.; Jensen, Richard A.; Kajantie, Eero; Kloppenburg, Margreet; Lim, Ee M.; Masciullo, Corrado; Mariotti, Stefano; Minelli, Cosetta; Mitchell, Braxton D.; Nagaraja, Ramaiah; Netea-Maier, Romana T.; Palotie, Aarno; Persani, Luca; Piras, Maria G.; Psaty, Bruce M.; Räikkönen, Katri; Richards, J. Brent; Rivadeneira, Fernando; Sala, Cinzia; Sabra, Mona M.; Sattar, Naveed; Shields, Beverley M.; Soranzo, Nicole; Starr, John M.; Stott, David J.; Sweep, Fred C. G. J.; Usala, Gianluca; van der Klauw, Melanie M.; van Heemst, Diana; van Mullem, Alies; H.Vermeulen, Sita; Visser, W. Edward; Walsh, John P.; Westendorp, Rudi G. J.; Widen, Elisabeth; Zhai, Guangju; Cucca, Francesco; Deary, Ian J.; Eriksson, Johan G.; Ferrucci, Luigi; Fox, Caroline S.; Jukema, J. Wouter; Kiemeney, Lambertus A.; Pramstaller, Peter P.; Schlessinger, David; Shuldiner, Alan R.; Slagboom, Eline P.; Uitterlinden, André G.; Vaidya, Bijay; Visser, Theo J.; Wolffenbuttel, Bruce H. R.; Meulenbelt, Ingrid; Rotter, Jerome I.; Spector, Tim D.; Hicks, Andrew A.; Toniolo, Daniela; Sanna, Serena; Peeters, Robin P.; Naitza, Silvia

2013-01-01

Thyroid hormone is essential for normal metabolism and development, and overt abnormalities in thyroid function lead to common endocrine disorders affecting approximately 10% of individuals over their life span. In addition, even mild alterations in thyroid function are associated with weight changes, atrial fibrillation, osteoporosis, and psychiatric disorders. To identify novel variants underlying thyroid function, we performed a large meta-analysis of genome-wide association studies for serum levels of the highly heritable thyroid function markers TSH and FT4, in up to 26,420 and 17,520 euthyroid subjects, respectively. Here we report 26 independent associations, including several novel loci for TSH (PDE10A, VEGFA, IGFBP5, NFIA, SOX9, PRDM11, FGF7, INSR, ABO, MIR1179, NRG1, MBIP, ITPK1, SASH1, GLIS3) and FT4 (LHX3, FOXE1, AADAT, NETO1/FBXO15, LPCAT2/CAPNS2). Notably, only limited overlap was detected between TSH and FT4 associated signals, in spite of the feedback regulation of their circulating levels by the hypothalamic-pituitary-thyroid axis. Five of the reported loci (PDE8B, PDE10A, MAF/LOC440389, NETO1/FBXO15, and LPCAT2/CAPNS2) show strong gender-specific differences, which offer clues for the known sexual dimorphism in thyroid function and related pathologies. Importantly, the TSH-associated loci contribute not only to variation within the normal range, but also to TSH values outside the reference range, suggesting that they may be involved in thyroid dysfunction. Overall, our findings explain, respectively, 5.64% and 2.30% of total TSH and FT4 trait variance, and they improve the current knowledge of the regulation of hypothalamic-pituitary-thyroid axis function and the consequences of genetic variation for hypo- or hyperthyroidism. PMID:23408906

Analysis of genetic stability at SSR loci during somatic embryogenesis in maritime pine (Pinus pinaster).

Science.gov (United States)

Marum, Liliana; Rocheta, Margarida; Maroco, João; Oliveira, M Margarida; Miguel, Célia

2009-04-01

Somatic embryogenesis (SE) is a propagation tool of particular interest for accelerating the deployment of new high-performance planting stock in multivarietal forestry. However, genetic conformity in in vitro propagated plants should be assessed as early as possible, especially in long-living trees such as conifers. The main objective of this work was to study such conformity based on genetic stability at simple sequence repeat (SSR) loci during somatic embryogenesis in maritime pine (Pinus pinaster Ait.). Embryogenic cell lines (ECLs) subjected to tissue proliferation during 6, 14 or 22 months, as well as emblings regenerated from several ECLs, were analyzed. Genetic variation at seven SSR loci was detected in ECLs under proliferation conditions for all time points, and in 5 out of 52 emblings recovered from somatic embryos. Three of these five emblings showed an abnormal phenotype consisting mainly of plagiotropism and loss of apical dominance. Despite the variation found in somatic embryogenesis-derived plant material, no correlation was established between genetic stability at the analyzed loci and abnormal embling phenotype, present in 64% of the emblings. The use of microsatellites in this work was efficient for monitoring mutation events during the somatic embryogenesis in P. pinaster. These molecular markers should be useful in the implementation of new breeding and deployment strategies for improved trees using SE.

Mapping quantitative trait loci (QTL in sheep. IV. Analysis of lactation persistency and extended lactation traits in sheep

Directory of Open Access Journals (Sweden)

Lam Mary K

2011-06-01

Full Text Available Abstract Background In sheep dairy production, total lactation performance, and length of lactation of lactation are of economic significance. A more persistent lactation has been associated with improved udder health. An extended lactation is defined by a longer period of milkability. This study is the first investigation to examine the presence of quantitative trait loci (QTL for extended lactation and lactation persistency in sheep. Methods An (Awassi × Merino × Merino single-sire backcross family with 172 ewes was used to map QTL for lactation persistency and extended lactation traits on a framework map of 189 loci across all autosomes. The Wood model was fitted to data from multiple lactations to estimate parameters of ovine lactation curves, and these estimates were used to derive measures of lactation persistency and extended lactation traits of milk, protein, fat, lactose, useful yield, and somatic cell score. These derived traits were subjected to QTL analyses using maximum likelihood estimation and regression analysis. Results Overall, one highly significant (LOD > 3.0, four significant (2.0 Conclusion This study identified ten novel QTL for lactation persistency and extended lactation in sheep, but results suggest that lactation persistency and extended lactation do not have a major gene in common. These results provide a basis for further validation in extended families and other breeds as well as targeting regions for genome-wide association mapping using high-density SNP arrays.

An integrative genetic study of rice metabolism, growth and stochastic variation reveals potential C/N partitioning loci

DEFF Research Database (Denmark)

Li, Baohua; Zhang, Yuanyuan; Mohammadi, Seyed Abolghasem

2016-01-01

metabolites suggesting that they may influence carbon and nitrogen partitioning, with one locus co-localizing with SUSIBA2 (WRKY78). Comparing QTLs for metabolomic and a variety of growth related traits identified few overlaps. Interestingly, the rice population displayed fewer loci controlling stochastic...

Potential contribution of the neurodegenerative disorders risk loci to cognitive performance in an elderly male gout population

Science.gov (United States)

Han, Lin; Jia, Zhaotong; Cao, Chunwei; Liu, Zhen; Liu, Fuqiang; Wang, Lin; Ren, Wei; Sun, Mingxia; Wang, Baoping; Li, Changgui; Chen, Li

2017-01-01

Abstract Cognitive impairment has been described in elderly subjects with high normal concentrations of serum uric acid. However, it remains unclear if gout confers an increased poorer cognition than those in individuals with asymptomatic hyperuricemia. The present study aimed at evaluating cognitive function in patients suffering from gout in an elderly male population, and further investigating the genetic contributions to the risk of cognitive function. This study examined the cognitive function as assessed by Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) in 205 male gout patients and 204 controls. The genetic basis of these cognitive measures was evaluated by genome-wide association study (GWAS) data in 102 male gout patients. Furthermore, 7 loci associated with cognition in GWAS were studied for correlation with gout in 1179 male gout patients and 1848 healthy male controls. Compared with controls, gout patients had significantly lower MoCA scores [22.78 ± 3.01 vs 23.42 ± 2.95, P = .023, adjusted by age, body mass index (BMI), education, and emotional disorder]. GWAS revealed 7 single-nucleotide polymorphisms (SNPs) associations with MoCA test at a level of conventional genome-wide significance (P gene (Padjusted = 4.2 × 10−9, Padjusted = 4.7 × 10–9) at 14q22. The next best signal was in RELN gene (rs155333, Padjusted = 1.3 × 10–8) at 7q22, while the other variants at rs17458357 (Padjusted = 3.98 × 10–8), rs2572683 (Padjusted = 8.9 × 10–8), rs12555895 (Padjusted = 2.6 × 10–8), and rs3764030 (Padjusted = 9.4 × 10–8) were also statistically significant. The 7 SNPs were not associated with gout in further analysis (all P > .05). Elderly male subjects with gout exhibit accelerated decline in cognition performance. Several neurodegenerative disorders risk loci were identified for genetic contributors to cognitive performance in our

Isolation and characterization of 21 polymorphic microsatellite loci in the Japanese dace (Tribolodon hakonensis)

Science.gov (United States)

Koizumi, Noriyuki; Quinn, Thomas W.; Park, Myeongsoo; Fike, Jennifer A.; Nishida, Kazuya; Takemura, Takeshi; Watabe, Keiji; Mori, Atsushi

2011-01-01

Twenty one polymorphic microsatellite loci for the Japanese dace (Tribolodon hakonensis) were isolated and characterized. The number of observed alleles per locus in 32 individuals ranged from 3 to 30. The observed and expected heterozygosities ranged from 0.125 to 0.969 and from 0.175 to 0.973, respectively. All loci conformed to Hardy–Weinberg equilibrium, no linkage disequilibrium was observed between pairs of loci and no loci showed evidence of null alleles. These microsatellite loci will be useful for investigating the intraspecific genetic variation and population structure of this species.

Cross-amplification and characterization of microsatellite loci for the Neotropical orchid genus Epidendrum

Directory of Open Access Journals (Sweden)

Fábio Pinheiro

2009-01-01

Full Text Available In this study we tested the cross-amplification of 33 microsatellite loci previously developed for two closely related Neotropical orchid genera (Epidendrum and Laelia. A set of ten loci were polymorphic across five examined species (20 individuals each with 2 to 15 alleles per locus. The mean expected and observed heterozygosity (average across species ranged from 0.34 to 0.82 and from 0.27 to 0.85, respectively. In addition we tested all loci in 35 species representative of the genus Epidendrum. Of these, 26 loci showed successful amplification. Cross-application of these loci represent a potential source of co-dominant markers for evolutionary, ecological and conservation studies in this important orchid genus.

Interactions between Glu-1 and Glu-3 loci and associations of selected molecular markers with quality traits in winter wheat (Triticum aestivum L.) DH lines.

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Krystkowiak, Karolina; Langner, Monika; Adamski, Tadeusz; Salmanowicz, Bolesław P; Kaczmarek, Zygmunt; Krajewski, Paweł; Surma, Maria

2017-02-01

The quality of wheat depends on a large complex of genes and environmental factors. The objective of this study was to identify quantitative trait loci controlling technological quality traits and their stability across environments, and to assess the impact of interaction between alleles at loci Glu-1 and Glu-3 on grain quality. DH lines were evaluated in field experiments over a period of 4 years, and genotyped using simple sequence repeat markers. Lines were analysed for grain yield (GY), thousand grain weight (TGW), protein content (PC), starch content (SC), wet gluten content (WG), Zeleny sedimentation value (ZS), alveograph parameter W (APW), hectolitre weight (HW), and grain hardness (GH). A number of QTLs for these traits were identified in all chromosome groups. The Glu-D1 locus influenced TGW, PC, SC, WG, ZS, APW, GH, while locus Glu-B1 affected only PC, ZS, and WG. Most important marker-trait associations were found on chromosomes 1D and 5D. Significant effects of interaction between Glu-1 and Glu-3 loci on technological properties were recorded, and in all types of this interaction positive effects of Glu-D1 locus on grain quality were observed, whereas effects of Glu-B1 locus depended on alleles at Glu-3 loci. Effects of Glu-A3 and Glu-D3 loci per se were not significant, while their interaction with alleles present at other loci encoding HMW and LMW were important. These results indicate that selection of wheat genotypes with predicted good bread-making properties should be based on the allelic composition both in Glu-1 and Glu-3 loci, and confirm the predominant effect of Glu-D1d allele on technological properties of wheat grains.

A quantitative and efficient approach to select MIRU-VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages.

Science.gov (United States)

Pan, Xin-Ling; Zhang, Chun-Lei; Nakajima, Chie; Fu, Jin; Shao, Chang-Xia; Zhao, Li-Na; Cui, Jia-Yi; Jiao, Na; Fan, Chang-Long; Suzuki, Yasuhiko; Hattori, Toshio; Li, Di; Ling, Hong

2017-07-26

Although several optimal mycobacterial interspersed repetitive units-variable number tandem repeat (MIRU-VNTR) loci have been suggested for genotyping homogenous Mycobacterium tuberculosis, including the Beijing genotype, a more efficient and convenient selection strategy for identifying optimal VNTR loci is needed. Here 281 M. tuberculosis isolates were analyzed. Beijing genotype and non-Beijing genotypes were identified, as well as Beijing sublineages, according to single nucleotide polymorphisms. A total of 22 MIRU-VNTR loci were used for genotyping. To efficiently select optimal MIRU-VNTR loci, we established accumulations of percentage differences (APDs) between the strains among the different genotypes. In addition, we constructed a minimum spanning tree for clustering analysis of the VNTR profiles. Our findings showed that eight MIRU-VNTR loci displayed disparities in h values of ≥0.2 between the Beijing genotype and non-Beijing genotype isolates. To efficiently discriminate Beijing and non-Beijing genotypes, an optimal VNTR set was established by adding loci with APDs ranging from 87.2% to 58.8%, resulting in the construction of a nine-locus set. We also found that QUB11a is a powerful locus for separating ST10s (including ST10, STF and STCH1) and ST22s (including ST22 and ST8) strains, whereas a combination of QUB11a, QUB4156, QUB18, Mtub21 and QUB26 could efficiently discriminate Beijing sublineages. Our findings suggested that two nine-locus sets were not only efficient for distinguishing the Beijing genotype from non-Beijing genotype strains, but were also suitable for sublineage genotyping with different discriminatory powers. These results indicate that APD represents a quantitative and efficient approach for selecting MIRU-VNTR loci to discriminate between divergent M. tuberculosis sublineages.

A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages

Science.gov (United States)

Pan, Xin-Ling; Zhang, Chun-Lei; Nakajima, Chie; Fu, Jin; Shao, Chang-Xia; Zhao, Li-Na; Cui, Jia-Yi; Jiao, Na; Fan, Chang-Long; Suzuki, Yasuhiko; Hattori, Toshio; Li, Di; Ling, Hong

2017-01-01

Although several optimal mycobacterial interspersed repetitive units–variable number tandem repeat (MIRU–VNTR) loci have been suggested for genotyping homogenous Mycobacterium tuberculosis, including the Beijing genotype, a more efficient and convenient selection strategy for identifying optimal VNTR loci is needed. Here 281 M. tuberculosis isolates were analyzed. Beijing genotype and non-Beijing genotypes were identified, as well as Beijing sublineages, according to single nucleotide polymorphisms. A total of 22 MIRU–VNTR loci were used for genotyping. To efficiently select optimal MIRU–VNTR loci, we established accumulations of percentage differences (APDs) between the strains among the different genotypes. In addition, we constructed a minimum spanning tree for clustering analysis of the VNTR profiles. Our findings showed that eight MIRU–VNTR loci displayed disparities in h values of ≥0.2 between the Beijing genotype and non-Beijing genotype isolates. To efficiently discriminate Beijing and non-Beijing genotypes, an optimal VNTR set was established by adding loci with APDs ranging from 87.2% to 58.8%, resulting in the construction of a nine-locus set. We also found that QUB11a is a powerful locus for separating ST10s (including ST10, STF and STCH1) and ST22s (including ST22 and ST8) strains, whereas a combination of QUB11a, QUB4156, QUB18, Mtub21 and QUB26 could efficiently discriminate Beijing sublineages. Our findings suggested that two nine-locus sets were not only efficient for distinguishing the Beijing genotype from non-Beijing genotype strains, but were also suitable for sublineage genotyping with different discriminatory powers. These results indicate that APD represents a quantitative and efficient approach for selecting MIRU–VNTR loci to discriminate between divergent M. tuberculosis sublineages. PMID:28745309

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

NARCIS (Netherlands)

E.K. Speliotes (Elizabeth); C.J. Willer (Cristen); S.I. Berndt (Sonja); K.L. Monda (Keri); G. Thorleifsson (Gudmar); A.U. Jackson (Anne); H.L. Allen; C.M. Lindgren (Cecilia); J. Luan; R. Mägi (Reedik); J.C. Randall (Joshua); S. Vedantam (Sailaja); T.W. Winkler (Thomas); L. Qi (Lu); T. Workalemahu (Tsegaselassie); I.M. Heid (Iris); V. Steinthorsdottir (Valgerdur); H.M. Stringham (Heather); E. Wheeler (Eleanor); A.R. Wood (Andrew); T. Ferreira (Teresa); R.J. Weyant (Robert); A.V. Segrè (Ayellet); K. Eestrada (Karol); L. Liang (Liming); J. Nemesh (James); J.H. Park; S. Gustafsson (Stefan); T.O. Kilpeläinen (Tuomas); J. Yang (Joanna); N. Bouatia-Naji (Nabila); T. Eesko (Tõnu); M.F. Feitosa (Mary Furlan); Z. Kutalik (Zoltán); M. Mangino (Massimo); S. Raychaudhuri (Soumya); A. Scherag (Andre); A.V. Smith (Albert Vernon); R.P. Welch (Ryan); J.H. Zhao (Jing Hua); K.K.H. Aben (Katja); D. Absher (Devin); N. Amin (Najaf); A.L. Dixon (Anna); E. Fisher (Eeva); N.L. Glazer (Nicole); M.E. Goddard (Michael); N.L. Heard-Costa (Nancy); V. Hoesel (Volker); J.J. Hottenga (Jouke Jan); A. Johansson (Åsa); T. Johnson (Toby); S. Ketkar (Shamika); C. Lamina (Claudia); S. Li (Shengxu); M.F. Moffatt (Miriam); R.H. Myers (Richard); N. Narisu (Narisu); J.R.B. Perry (John); M.J. Peters (Marjolein); M. Preuss (Michael); S. Ripatti (Samuli); F. Rivadeneira Ramirez (Fernando); C. Sandholt (Camilla); L.J. Scott (Laura); N.J. Timpson (Nicholas); J.P. Tyrer (Jonathan); S. van Wingerden (Sophie); C.C. White (Charles); F. Wiklund (Fredrik); C. Barlassina (Christina); D.I. Chasman (Daniel); M.N. Cooper (Matthew); J.O. Jansson; R.W. Lawrence (Robert); N. Pellikka (Niina); I. Prokopenko (Inga); J. Shi (Jianxin); E. Thiering (Eelisabeth); H. Alavere (Helene); M.T.S. Alibrandi (Maria); P. Almgren (Peter); A.M. Arnold (Alice); T. Aspelund (Thor); L.D. Atwood (Larry); B. Balkau (Beverley); A.J. Balmforth (Anthony); A.J. Bennett (Amanda); Y. Ben-Shlomo; R.N. Bergman (Richard); S.M. Bergmann (Sven); H. Biebermann (Heike); A.I.F. Blakemore (Alexandra); T. Boes (Tanja); L.L. Bonnycastle (Lori); S.R. Bornstein (Stefan); M.J. Brown (Morris); T.A. Buchanan (Thomas); F. Busonero; H. Campbell (Harry); F.P. Cappuccio (Francesco); C. Cavalcanti-Proença (Christine); Y.D.I. Chen (Yii-Der Ida); C.-M. Chen (Chih-Mei); P.S. Chines (Peter); R. Clarke; L. Coin (Lachlan); J. Connell (John); I.N.M. Day (Ian); M. den Heijer (Martin); J. Duan (Jubao); S. Eebrahim (Shah); P. Eelliott (Paul); R. Eelosua (Roberto); G. Eeiriksdottir (Gudny); M.R. Eerdos (Micheal); J.G. Eeriksson (Johan); M.F. Facheris (Maurizio); S.B. Felix (Stephan); P. Fischer-Posovszky (Pamela); A.R. Folsom (Aaron); N. Friedrich (Nele); N.B. Freimer (Nelson); M. Fu (Mao); S. Gaget (Stefan); P.V. Gejman (Pablo); E.J.C. de Geus (Eco); C. Gieger (Christian); A.P. Gjesing (Anette); A. Goel (Anuj); P. Goyette (Philippe); H. Grallert (Harald); J. Gräßler (Jürgen); D. Greenawalt (Danielle); C.J. Groves (Christopher); V. Gudnason (Vilmundur); C. Guiducci (Candace); A.L. Hartikainen; N. Hassanali (Neelam); A.S. Hall (Alistair); A.S. Havulinna (Aki); C. Hayward (Caroline); A.C. Heath (Andrew); C. Hengstenberg (Christian); A.A. Hicks (Andrew); A. Hinney (Anke); A. Hofman (Albert); G. Homuth (Georg); J. Hui (Jennie); W. Igl (Wilmar); C. Iribarren (Carlos); B. Isomaa (Bo); K.B. Jacobs (Kevin); I. Jarick (Ivonne); E. Jewell (Eelizabeth); U. John (Ulrich); T. Jørgensen (Torben); P. Jousilahti (Pekka); A. Jula (Antti); M. Kaakinen (Marika); E. Kajantie (Eero); R.C. Kaplan (Robert); S. Kathiresan (Sekar); J. Kettunen (Johannes); L. Kinnunen (Leena); J.W. Knowles (Joshua); I. Kolcic (Ivana); I.R. König (Inke); S. Koskinen (Seppo); P. Kovacs (Peter); J. Kusisto (Johanna); P. Kraft (Peter); K. Kvaløy (Kirsti); J. Laitinen (Jaana); O. Lantieri (Olivier); C. Lanzani (Chiara); L.J. Launer (Lenore); C. Lecoeur (Cécile); T. Lehtimäki (Terho); G. Lettre (Guillaume); J. Liu (Jianjun); M.L. Lokki; M. Lorentzon (Mattias); R.N. Luben (Robert); B. Ludwig (Barbara); P. Manunta (Paolo); D. Marek (Diana); M. Marre (Michel); N.G. Martin (Nicholas); W.L. McArdle (Wendy); M.I. McCarthy (Mark); B. McKnight (Barbara); T. Meitinger (Thomas); O. Melander (Olle); D. Meyre (David); K. Midthjell (Kristian); G.W. Montgomery (Grant); M.A. Morken (Mario); A.D. Morris (Andrew); R. Mulic (Rosanda); J.S. Ngwa; M. Nelis (Mari); M.J. Neville (Matthew); D.R. Nyholt (Dale); C.J. O'Ddonnell (Christopher); S. O'Rahilly (Stephen); K. Ong (Ken); B.A. Oostra (Ben); G. Paré (Guillaume); A.N. Parker (Alex); M. Perola (Markus); I. Pichler (Irene); K.H. Pietilainen (Kirsi Hannele); C.P. Platou (Carl); O. Polasek (Ozren); A. Pouta (Anneli); S. Rafelt (Suzanne); O. Raitakari (Olli); N.W. Rayner (Nigel William); M. Ridderstråle (Martin); W. Rief (Winfried); A. Ruokonen (Aimo); N.R. Robertson (Neil); P. Rzehak (Peter); V. Salomaa (Veikko); A.R. Sanders (Alan); M.S. Sandhu (Manjinder); S. Sanna (Serena); J. Saramies (Jouko); M.J. Savolainen (Markku); S. Schipf (Sabine); S. Schreiber (Stefan); H. Schunkert (Heribert); K. Silander (Kaisa); J. Sinisalo (Juha); D.S. Siscovick (David); J.H. Smit (Jan); N. Soranzo (Nicole); U. Sovio (Ulla); J. Stephens (Jonathan); I. Surakka (Ida); A.J. Swift (Amy); M.L. Tammesoo; J.-C. Tardif (Jean-Claude); M. Teder-Laving (Maris); T.M. Teslovich (Tanya); J.R. Thompson (John); B. Thomson (Brian); A. Tönjes (Anke); T. Tuomi (Tiinamaija); J.B.J. van Meurs (Joyce); G.J. van OMen; V. Vatin (Vincent); J. Viikari (Jorma); S. Visvikis-Siest (Sophie); V. Vitart (Veronique); C.I. Vogel (Carla); B.F. Voight (Benjamin); L. Waite (Lindsay); H. Wallaschofski (Henri); G.B. Walters (Bragi); E. Widen (Elisabeth); S. Wiegand (Susanna); S.H. Wild (Sarah); G.A.H.M. Willemsen (Gonneke); D.R. Witte (Deniel); J.C.M. Witteman (Jacqueline); J. Xu (Jianfeng); Q. Zhang (Qunyuan); L. Zgaga (Lina); A. Ziegler (Andreas); P. Zitting (Paavo); J.P. Beilby (John); I.S. FarOqi (Ssadaf); J. Hebebrand (Johannes); H.V. Huikuri (Heikki); A. James (Alan); M. Kähönen (Mika); D.F. Levinson (Douglas); F. MacCiardi (Fabio); M.S. Nieminen (Markku); C. Ohlsson (Claes); C. Palmer (Cameron); P.M. Ridker (Paul); M. Stumvoll (Michael); J.S. Beckmann (Jacques); H. Boeing (Heiner); E.A. Boerwinkle (Eric); D.I. Boomsma (Dorret); M. Caulfield (Mark); S.J. Chanock (Stephen); F.S. Collins (Francis); L.A. Cupples (Adrienne); J. Eerdmann (Jeanette); P. Frogue (Philippe); H. Grönberg (Henrik); U. Gyllensten (Ulf); T. Hansen (Torben); T.B. Harris (Tamara); A.T. Hattersley (Andrew); R.B. Hayes (Richard); J. Heinrich (Joachim); F.B. Hu (Frank); K. Hveem (Kristian); T. Illig (Thomas); M.R. Järvelin; J. Kaprio (Jaakko); F. Karpe (Fredrik); K-T. Khaw (Kay-Tee); L.A.L.M. Kiemeney (Bart); H. Krude; M. Laakso (Markku); D.A. Lawlor (Debbie); A. Metspalu (Andres); P. Munroe (Patricia); W.H. Ouwehand (Willem); O. Pedersen (Oluf); B.W.J.H. Penninx (Brenda); P.P. Pramstaller (Peter Paul); T. Quertermous (Thomas); T. Reinehr (Thomas); A. Rissanen (Aila); I. Rudan (Igor); N.J. Samani (Nilesh); P.E.H. Schwarz (Peter); A.R. Shuldiner (Alan); T.D. Spector (Timothy); J. Tuomilehto (Jaakko); M. Uda (Manuela); A.G. Uitterlinden (André); T.T. Valle (Timo); M. Wabitsch (Martin); G. Waeber (Gérard); N.J. Wareham (Nick); H. Watkins (Hugh); J.F. Wilson (James); A.F. Wright (Alan); M.C. Zillikens (Carola); N. ChatterjE (Nilanjan); S.A. McCarroll (Steve); S. Purcell (Shaun); E.E. Schadt (Eric); P.M. Visscher (Peter); T.L. Assimes (Themistocles); I.B. Borecki (Ingrid); P. Deloukas (Panagiotis); C.S. Fox (Caroline); L. Groop (Leif); T. Haritunians (Talin); D.J. Hunter (David); K.L. Mohlke (Karen); J.R. O'ConneL (Jeffrey); L. Peltonen (Leena Johanna); D. SchleSinger (David); D.P. Strachan (David); R.M. Watanabe (Richard); C.M. van Duijn (Cornelia); H.E. Wichmann (Heinz Erich); T.M. Frayling (Timothy); U. Thorsteinsdottir (Unnur); G.R. Abecasis (Gonçalo); M. Boehnke (Michael); K. StefanSon (Kari); K.E. North (Kari); M.I. McArthy (Mark); J.N. Hirschhorn (Joel); E. IngelSon (Erik); R.J.F. Loos (Ruth); M.N. Weedon (Michael)

2010-01-01

textabstractObesity is globaLy prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined aSociations betwEn body maS index and ĝ̂1/42.8 miLion SNPs in up to 123,865 individuals with targeted foLow up of

Isolation and characterization of microsatellite loci from the Australasian sea snake, Aipysurus laevis

DEFF Research Database (Denmark)

Lukoschek, Vimoksalehi; Waycott, Michelle; Dunshea, Glenn

2005-01-01

We developed 13 microsatellite loci for the olive sea snake, Aipysurus laevis, using both enriched and unenriched genomic DNA libraries. Eleven codominant loci, that reliably amplified, were used to screen 32 individuals across the geographic range of A. laevis. Four loci had four or more alleles...... (maximum 12), whereas the other seven had either two or three. All but one locus was in Hardy-Weinberg equilibrium. These loci will provide useful markers to investigate population genetic structure for the olive sea snake....

Genome-Wide Search for Quantitative Trait Loci Controlling Important Plant and Flower Traits in Petunia Using an Interspecific Recombinant Inbred Population of Petunia axillaris and Petunia exserta.

Science.gov (United States)

Cao, Zhe; Guo, Yufang; Yang, Qian; He, Yanhong; Fetouh, Mohammed; Warner, Ryan M; Deng, Zhanao

2018-05-15

A major bottleneck in plant breeding has been the much limited genetic base and much reduced genetic diversity in domesticated, cultivated germplasm. Identification and utilization of favorable gene loci or alleles from wild or progenitor species can serve as an effective approach to increasing genetic diversity and breaking this bottleneck in plant breeding. This study was conducted to identify quantitative trait loci (QTL) in wild or progenitor petunia species that can be used to improve important horticultural traits in garden petunia. An F 7 recombinant inbred population derived between Petunia axillaris and P. exserta was phenotyped for plant height, plant spread, plant size, flower counts, flower diameter, flower length, and days to anthesis, in Florida in two consecutive years. Transgressive segregation was observed for all seven traits in both years. The broad-sense heritability estimates for the traits ranged from 0.20 (days to anthesis) to 0.62 (flower length). A genome-wide genetic linkage map consisting 368 single nucleotide polymorphism bins and extending over 277 cM was searched to identify QTL for these traits. Nineteen QTL were identified and localized to five linkage groups. Eleven of the loci were identified consistently in both years; several loci explained up to 34.0% and 24.1% of the phenotypic variance for flower length and flower diameter, respectively. Multiple loci controlling different traits are co-localized in four intervals in four linkage groups. These intervals contain desirable alleles that can be introgressed into commercial petunia germplasm to expand the genetic base and improve plant performance and flower characteristics in petunia. Copyright © 2018, G3: Genes, Genomes, Genetics.

Isolation and characterization of eight novel microsatellite loci in the double-crested cormorant (Phalacrocorax auritus)

Science.gov (United States)

Mercer, Dacey; Haig, Susan; Mullins, Thomas

2010-01-01

We describe the isolation and characterization of eight microsatellite loci from the double-crested cormorant (Phalacrocorax auritus). Genetic variability was assessed using 60 individuals from three populations. All loci were variable with the number of alleles ranging from two to 17 per locus, and observed heterozygosity varying from 0.05 to 0.89. No loci showed signs of linkage disequilibrium and all loci conformed to Hardy–Weinberg equilibrium frequencies. Further, all loci amplified and were polymorphic in two related Phalacrocorax species. These loci should prove useful for population genetic studies of the double-crested cormorant and other pelecaniform species.

Identification of 2 loci associated with development of myxomatous mitral valve disease in Cavalier King Charles Spaniels