WorldWideScience

Sample records for susceptibility loci including

  1. 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/.

  2. 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

  3. 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...

  4. Identification of nine new susceptibility loci for testicular cancer, including variants near DAZL and PRDM14

    Science.gov (United States)

    Ruark, Elise; Seal, Sheila; McDonald, Heather; Zhang, Feng; Elliot, Anna; Lau, KingWai; Perdeaux, Elizabeth; Rapley, Elizabeth; Eeles, Rosalind; Peto, Julian; Kote-Jarai, Zsofia; Muir, Kenneth; Nsengimana, Jeremie; Shipley, Janet; Bishop, D. Timothy; Stratton, Michael R; Easton, Douglas F; Huddart, Robert A; Rahman, Nazneen; Turnbull, Clare

    2013-01-01

    Testicular germ cell tumor (TGCT) is the most common cancer in young men and is notable for its high familial risks1,2. To date, six loci associated with TGCT have been reported3-7. From GWAS analysis of 307,291 SNPs in 986 cases and 4,946 controls, we selected for follow-up 694 SNPs, which we genotyped in a further 1,064 TGCT cases and 10,082 controls from the UK. We identified SNPs at nine new loci showing association with TGCT (P<5×10−8), at 1q22, 1q24.1, 3p24.3, 4q24, 5q31.1, 8q13.3, 16q12.1, 17q22 and 21q22.3, which together account for an additional 4-6% of the familial risk of TGCT. The loci include genes plausibly related to TGCT development. PRDM14, at 8q13.3, is essential for early germ cell specification8 whilst DAZL, at 3p24.3, is required for regulation of germ cell development9. Furthermore, PITX1, at 5q31.1 regulates TERT expression, and is the third TGCT locus implicated in telomerase regulation10. PMID:23666240

  5. 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...

  6. 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,

  7. 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

  8. 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...

  9. 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.

  10. Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation.

    Science.gov (United States)

    Andlauer, Till F M; Buck, Dorothea; Antony, Gisela; Bayas, Antonios; Bechmann, Lukas; Berthele, Achim; Chan, Andrew; Gasperi, Christiane; Gold, Ralf; Graetz, Christiane; Haas, Jürgen; Hecker, Michael; Infante-Duarte, Carmen; Knop, Matthias; Kümpfel, Tania; Limmroth, Volker; Linker, Ralf A; Loleit, Verena; Luessi, Felix; Meuth, Sven G; Mühlau, Mark; Nischwitz, Sandra; Paul, Friedemann; Pütz, Michael; Ruck, Tobias; Salmen, Anke; Stangel, Martin; Stellmann, Jan-Patrick; Stürner, Klarissa H; Tackenberg, Björn; Then Bergh, Florian; Tumani, Hayrettin; Warnke, Clemens; Weber, Frank; Wiendl, Heinz; Wildemann, Brigitte; Zettl, Uwe K; Ziemann, Ulf; Zipp, Frauke; Arloth, Janine; Weber, Peter; Radivojkov-Blagojevic, Milena; Scheinhardt, Markus O; Dankowski, Theresa; Bettecken, Thomas; Lichtner, Peter; Czamara, Darina; Carrillo-Roa, Tania; Binder, Elisabeth B; Berger, Klaus; Bertram, Lars; Franke, Andre; Gieger, Christian; Herms, Stefan; Homuth, Georg; Ising, Marcus; Jöckel, Karl-Heinz; Kacprowski, Tim; Kloiber, Stefan; Laudes, Matthias; Lieb, Wolfgang; Lill, Christina M; Lucae, Susanne; Meitinger, Thomas; Moebus, Susanne; Müller-Nurasyid, Martina; Nöthen, Markus M; Petersmann, Astrid; Rawal, Rajesh; Schminke, Ulf; Strauch, Konstantin; Völzke, Henry; Waldenberger, Melanie; Wellmann, Jürgen; Porcu, Eleonora; Mulas, Antonella; Pitzalis, Maristella; Sidore, Carlo; Zara, Ilenia; Cucca, Francesco; Zoledziewska, Magdalena; Ziegler, Andreas; Hemmer, Bernhard; Müller-Myhsok, Bertram

    2016-06-01

    We conducted a genome-wide association study (GWAS) on multiple sclerosis (MS) susceptibility in German cohorts with 4888 cases and 10,395 controls. In addition to associations within the major histocompatibility complex (MHC) region, 15 non-MHC loci reached genome-wide significance. Four of these loci are novel MS susceptibility loci. They map to the genes L3MBTL3, MAZ, ERG, and SHMT1. The lead variant at SHMT1 was replicated in an independent Sardinian cohort. Products of the genes L3MBTL3, MAZ, and ERG play important roles in immune cell regulation. SHMT1 encodes a serine hydroxymethyltransferase catalyzing the transfer of a carbon unit to the folate cycle. This reaction is required for regulation of methylation homeostasis, which is important for establishment and maintenance of epigenetic signatures. Our GWAS approach in a defined population with limited genetic substructure detected associations not found in larger, more heterogeneous cohorts, thus providing new clues regarding MS pathogenesis.

  11. 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

  12. 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.

  13. Linkage analysis: Inadequate for detecting susceptibility loci in complex disorders?

    Energy Technology Data Exchange (ETDEWEB)

    Field, L.L.; Nagatomi, J. [Univ. of Calgary, Alberta (Canada)

    1994-09-01

    Insulin-dependent diabetes mellitus (IDDM) may provide valuable clues about approaches to detecting susceptibility loci in other oligogenic disorders. Numerous studies have demonstrated significant association between IDDM and a VNTR in the 5{prime} flanking region of the insulin (INS) gene. Paradoxically, all attempts to demonstrate linkage of IDDM to this VNTR have failed. Lack of linkage has been attributed to insufficient marker locus information, genetic heterogeneity, or high frequency of the IDDM-predisposing allele in the general population. Tyrosine hydroxylase (TH) is located 2.7 kb from INS on the 5` side of the VNTR and shows linkage disequilibrium with INS region loci. We typed a highly polymorphic microsatellite within TH in 176 multiplex families, and performed parametric (lod score) linkage analysis using various intermediate reduced penetrance models for IDDM (including rare and common disease allele frequencies), as well as non-parametric (affected sib pair) linkage analysis. The scores significantly reject linkage for recombination values of .05 or less, excluding the entire 19 kb region containing TH, the 5{prime} VNTR, the INS gene, and IGF2 on the 3{prime} side of INS. Non-parametric linkage analysis also provided no significant evidence for linkage (mean TH allele sharing 52.5%, P=.12). These results have important implications for efforts to locate genes predisposing to complex disorders, strongly suggesting that regions which are significantly excluded by linkage methods may nevertheless contain predisposing genes readily detectable by association methods. We advocate that investigators routinely perform association analyses in addition to linkage analyses.

  14. Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation

    Science.gov (United States)

    Andlauer, Till F. M.; Buck, Dorothea; Antony, Gisela; Bayas, Antonios; Bechmann, Lukas; Berthele, Achim; Chan, Andrew; Gasperi, Christiane; Gold, Ralf; Graetz, Christiane; Haas, Jürgen; Hecker, Michael; Infante-Duarte, Carmen; Knop, Matthias; Kümpfel, Tania; Limmroth, Volker; Linker, Ralf A.; Loleit, Verena; Luessi, Felix; Meuth, Sven G.; Mühlau, Mark; Nischwitz, Sandra; Paul, Friedemann; Pütz, Michael; Ruck, Tobias; Salmen, Anke; Stangel, Martin; Stellmann, Jan-Patrick; Stürner, Klarissa H.; Tackenberg, Björn; Then Bergh, Florian; Tumani, Hayrettin; Warnke, Clemens; Weber, Frank; Wiendl, Heinz; Wildemann, Brigitte; Zettl, Uwe K.; Ziemann, Ulf; Zipp, Frauke; Arloth, Janine; Weber, Peter; Radivojkov-Blagojevic, Milena; Scheinhardt, Markus O.; Dankowski, Theresa; Bettecken, Thomas; Lichtner, Peter; Czamara, Darina; Carrillo-Roa, Tania; Binder, Elisabeth B.; Berger, Klaus; Bertram, Lars; Franke, Andre; Gieger, Christian; Herms, Stefan; Homuth, Georg; Ising, Marcus; Jöckel, Karl-Heinz; Kacprowski, Tim; Kloiber, Stefan; Laudes, Matthias; Lieb, Wolfgang; Lill, Christina M.; Lucae, Susanne; Meitinger, Thomas; Moebus, Susanne; Müller-Nurasyid, Martina; Nöthen, Markus M.; Petersmann, Astrid; Rawal, Rajesh; Schminke, Ulf; Strauch, Konstantin; Völzke, Henry; Waldenberger, Melanie; Wellmann, Jürgen; Porcu, Eleonora; Mulas, Antonella; Pitzalis, Maristella; Sidore, Carlo; Zara, Ilenia; Cucca, Francesco; Zoledziewska, Magdalena; Ziegler, Andreas; Hemmer, Bernhard; Müller-Myhsok, Bertram

    2016-01-01

    We conducted a genome-wide association study (GWAS) on multiple sclerosis (MS) susceptibility in German cohorts with 4888 cases and 10,395 controls. In addition to associations within the major histocompatibility complex (MHC) region, 15 non-MHC loci reached genome-wide significance. Four of these loci are novel MS susceptibility loci. They map to the genes L3MBTL3, MAZ, ERG, and SHMT1. The lead variant at SHMT1 was replicated in an independent Sardinian cohort. Products of the genes L3MBTL3, MAZ, and ERG play important roles in immune cell regulation. SHMT1 encodes a serine hydroxymethyltransferase catalyzing the transfer of a carbon unit to the folate cycle. This reaction is required for regulation of methylation homeostasis, which is important for establishment and maintenance of epigenetic signatures. Our GWAS approach in a defined population with limited genetic substructure detected associations not found in larger, more heterogeneous cohorts, thus providing new clues regarding MS pathogenesis. PMID:27386562

  15. 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

  16. Genome-wide meta-analysis identifies new susceptibility loci for migraine.

    Science.gov (United States)

    Anttila, Verneri; Winsvold, Bendik S; Gormley, Padhraig; Kurth, Tobias; Bettella, Francesco; McMahon, George; Kallela, Mikko; Malik, Rainer; de Vries, Boukje; Terwindt, Gisela; Medland, Sarah E; Todt, Unda; McArdle, Wendy L; Quaye, Lydia; Koiranen, Markku; Ikram, M Arfan; Lehtimäki, Terho; Stam, Anine H; Ligthart, Lannie; Wedenoja, Juho; Dunham, Ian; Neale, Benjamin M; Palta, Priit; Hamalainen, Eija; Schürks, Markus; Rose, Lynda M; Buring, Julie E; Ridker, Paul M; Steinberg, Stacy; Stefansson, Hreinn; Jakobsson, Finnbogi; Lawlor, Debbie A; Evans, David M; Ring, Susan M; Färkkilä, Markus; Artto, Ville; Kaunisto, Mari A; Freilinger, Tobias; Schoenen, Jean; Frants, Rune R; Pelzer, Nadine; Weller, Claudia M; Zielman, Ronald; Heath, Andrew C; Madden, Pamela A F; Montgomery, Grant W; Martin, Nicholas G; Borck, Guntram; Göbel, Hartmut; Heinze, Axel; Heinze-Kuhn, Katja; Williams, Frances M K; Hartikainen, Anna-Liisa; Pouta, Anneli; van den Ende, Joyce; Uitterlinden, Andre G; Hofman, Albert; Amin, Najaf; Hottenga, Jouke-Jan; Vink, Jacqueline M; Heikkilä, Kauko; Alexander, Michael; Muller-Myhsok, Bertram; Schreiber, Stefan; Meitinger, Thomas; Wichmann, Heinz Erich; Aromaa, Arpo; Eriksson, Johan G; Traynor, Bryan; Trabzuni, Daniah; Rossin, Elizabeth; Lage, Kasper; Jacobs, Suzanne B R; Gibbs, J Raphael; Birney, Ewan; Kaprio, Jaakko; Penninx, Brenda W; Boomsma, Dorret I; van Duijn, Cornelia; Raitakari, Olli; Jarvelin, Marjo-Riitta; Zwart, John-Anker; Cherkas, Lynn; Strachan, David P; Kubisch, Christian; Ferrari, Michel D; van den Maagdenberg, Arn M J M; Dichgans, Martin; Wessman, Maija; Smith, George Davey; Stefansson, Kari; Daly, Mark J; Nyholt, Dale R; Chasman, Daniel; Palotie, Aarno

    2013-08-01

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) and 95,425 population-matched controls. We identified 12 loci associated with migraine susceptibility (P<5×10(-8)). Five loci are new: near AJAP1 at 1p36, near TSPAN2 at 1p13, within FHL5 at 6q16, within C7orf10 at 7p14 and near MMP16 at 8q21. Three of these loci were identified in disease subgroup analyses. Brain tissue expression quantitative trait locus analysis suggests potential functional candidate genes at four loci: APOA1BP, TBC1D7, FUT9, STAT6 and ATP5B.

  17. Gene-environment interaction involving recently identified colorectal cancer susceptibility loci

    Science.gov (United States)

    Kantor, Elizabeth D.; Hutter, Carolyn M.; Minnier, Jessica; Berndt, Sonja I.; Brenner, Hermann; Caan, Bette J.; Campbell, Peter T.; Carlson, Christopher S.; Casey, Graham; Chan, Andrew T.; Chang-Claude, Jenny; Chanock, Stephen J.; Cotterchio, Michelle; Du, Mengmeng; Duggan, David; Fuchs, Charles S.; Giovannucci, Edward L.; Gong, Jian; Harrison, Tabitha A.; Hayes, Richard B.; Henderson, Brian E.; Hoffmeister, Michael; Hopper, John L.; Jenkins, Mark A.; Jiao, Shuo; Kolonel, Laurence N.; Le Marchand, Loic; Lemire, Mathieu; Ma, Jing; Newcomb, Polly A.; Ochs-Balcom, Heather M.; Pflugeisen, Bethann M.; Potter, John D.; Rudolph, Anja; Schoen, Robert E.; Seminara, Daniela; Slattery, Martha L.; Stelling, Deanna L.; Thomas, Fridtjof; Thornquist, Mark; Ulrich, Cornelia M.; Warnick, Greg S.; Zanke, Brent W.; Peters, Ulrike; Hsu, Li; White, Emily

    2014-01-01

    BACKGROUND Genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) that are associated with risk of colorectal cancer (CRC). Prior research has evaluated the presence of gene-environment interaction involving the first 10 identified susceptibility loci, but little work has been conducted on interaction involving SNPs at recently identified susceptibility loci, including: rs10911251, rs6691170, rs6687758, rs11903757, rs10936599, rs647161, rs1321311, rs719725, rs1665650, rs3824999, rs7136702, rs11169552, rs59336, rs3217810, rs4925386, and rs2423279. METHODS Data on 9160 cases and 9280 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) and Colon Cancer Family Registry (CCFR) were used to evaluate the presence of interaction involving the above-listed SNPs and sex, body mass index (BMI), alcohol consumption, smoking, aspirin use, post-menopausal hormone (PMH) use, as well as intake of dietary calcium, dietary fiber, dietary folate, red meat, processed meat, fruit, and vegetables. Interaction was evaluated using a fixed-effects meta-analysis of an efficient Empirical Bayes estimator, and permutation was used to account for multiple comparisons. RESULTS None of the permutation-adjusted p-values reached statistical significance. CONCLUSIONS The associations between recently identified genetic susceptibility loci and CRC are not strongly modified by sex, BMI, alcohol, smoking, aspirin, PMH use, and various dietary factors. IMPACT Results suggest no evidence of strong gene-environment interactions involving the recently identified 16 susceptibility loci for CRC taken one at a time. PMID:24994789

  18. 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.

  19. Genetic susceptibility loci, pesticide exposure and prostate cancer risk.

    Directory of Open Access Journals (Sweden)

    Stella Koutros

    Full Text Available Uncovering SNP (single nucleotide polymorphisms-environment interactions can generate new hypotheses about the function of poorly characterized genetic variants and environmental factors, like pesticides. We evaluated SNP-environment interactions between 30 confirmed prostate cancer susceptibility loci and 45 pesticides and prostate cancer risk in 776 cases and 1,444 controls in the Agricultural Health Study. We used unconditional logistic regression to estimate odds ratios (ORs and 95% confidence intervals (CIs. Multiplicative SNP-pesticide interactions were calculated using a likelihood ratio test. After correction for multiple tests using the False Discovery Rate method, two interactions remained noteworthy. Among men carrying two T alleles at rs2710647 in EH domain binding protein 1 (EHBP1 SNP, the risk of prostate cancer in those with high malathion use was 3.43 times those with no use (95% CI: 1.44-8.15 (P-interaction= 0.003. Among men carrying two A alleles at rs7679673 in TET2, the risk of prostate cancer associated with high aldrin use was 3.67 times those with no use (95% CI: 1.43, 9.41 (P-interaction= 0.006. In contrast, associations were null for other genotypes. Although additional studies are needed and the exact mechanisms are unknown, this study suggests known genetic susceptibility loci may modify the risk between pesticide use and prostate cancer.

  20. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine.

    Science.gov (United States)

    Gormley, Padhraig; Anttila, Verneri; Winsvold, Bendik S; Palta, Priit; Esko, Tonu; Pers, Tune H; Farh, Kai-How; Cuenca-Leon, Ester; Muona, Mikko; Furlotte, Nicholas A; Kurth, Tobias; Ingason, Andres; McMahon, George; Ligthart, Lannie; Terwindt, Gisela M; Kallela, Mikko; Freilinger, Tobias M; Ran, Caroline; Gordon, Scott G; Stam, Anine H; Steinberg, Stacy; Borck, Guntram; Koiranen, Markku; Quaye, Lydia; Adams, Hieab H H; Lehtimäki, Terho; Sarin, Antti-Pekka; Wedenoja, Juho; Hinds, David A; Buring, Julie E; Schürks, Markus; Ridker, Paul M; Hrafnsdottir, Maria Gudlaug; Stefansson, Hreinn; Ring, Susan M; Hottenga, Jouke-Jan; Penninx, Brenda W J H; Färkkilä, Markus; Artto, Ville; Kaunisto, Mari; Vepsäläinen, Salli; Malik, Rainer; Heath, Andrew C; Madden, Pamela A F; Martin, Nicholas G; Montgomery, Grant W; Kurki, Mitja I; Kals, Mart; Mägi, Reedik; Pärn, Kalle; Hämäläinen, Eija; Huang, Hailiang; Byrnes, Andrea E; Franke, Lude; Huang, Jie; Stergiakouli, Evie; Lee, Phil H; Sandor, Cynthia; Webber, Caleb; Cader, Zameel; Muller-Myhsok, Bertram; Schreiber, Stefan; Meitinger, Thomas; Eriksson, Johan G; Salomaa, Veikko; Heikkilä, Kauko; Loehrer, Elizabeth; Uitterlinden, Andre G; Hofman, Albert; van Duijn, Cornelia M; Cherkas, Lynn; Pedersen, Linda M; Stubhaug, Audun; Nielsen, Christopher S; Männikkö, Minna; Mihailov, Evelin; Milani, Lili; Göbel, Hartmut; Esserlind, Ann-Louise; Christensen, Anne Francke; Hansen, Thomas Folkmann; Werge, Thomas; Kaprio, Jaakko; Aromaa, Arpo J; Raitakari, Olli; Ikram, M Arfan; Spector, Tim; Järvelin, Marjo-Riitta; Metspalu, Andres; Kubisch, Christian; Strachan, David P; Ferrari, Michel D; Belin, Andrea C; Dichgans, Martin; Wessman, Maija; van den Maagdenberg, Arn M J M; Zwart, John-Anker; Boomsma, Dorret I; Smith, George Davey; Stefansson, Kari; Eriksson, Nicholas; Daly, Mark J; Neale, Benjamin M; Olesen, Jes; Chasman, Daniel I; Nyholt, Dale R; Palotie, Aarno

    2016-08-01

    Migraine is a debilitating neurological disorder affecting around one in seven people worldwide, but its molecular mechanisms remain poorly understood. There is some debate about whether migraine is a disease of vascular dysfunction or a result of neuronal dysfunction with secondary vascular changes. Genome-wide association (GWA) studies have thus far identified 13 independent loci associated with migraine. To identify new susceptibility loci, we carried out a genetic study of migraine on 59,674 affected subjects and 316,078 controls from 22 GWA studies. We identified 44 independent single-nucleotide polymorphisms (SNPs) significantly associated with migraine risk (P < 5 × 10(-8)) that mapped to 38 distinct genomic loci, including 28 loci not previously reported and a locus that to our knowledge is the first to be identified on chromosome X. In subsequent computational analyses, the identified loci showed enrichment for genes expressed in vascular and smooth muscle tissues, consistent with a predominant theory of migraine that highlights vascular etiologies.

  1. 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.

  2. 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

  3. 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...

  4. 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

  5. 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.

  6. 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

  7. 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

  8. 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...

  9. Individual and cumulative effects of GWAS susceptibility loci in lung cancer: associations after sub-phenotyping for COPD.

    Directory of Open Access Journals (Sweden)

    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.

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

    Science.gov (United States)

    Pharoah, Paul D. P.; Tsai, Ya-Yu; Ramus, Susan J.; Phelan, Catherine M.; Goode, Ellen L.; Lawrenson, Kate; Price, Melissa; Fridley, Brooke L.; Tyrer, Jonathan P.; Shen, Howard; Weber, Rachel; Karevan, Rod; Larson, Melissa C.; Song, Honglin; Tessier, Daniel C.; Bacot, François; Vincent, Daniel; Cunningham, Julie M.; Dennis, Joe; Dicks, Ed; Aben, Katja K.; Anton-Culver, Hoda; Antonenkova, Natalia; Armasu, Sebastian M.; Baglietto, Laura; Bandera, Elisa V.; Beckmann, Matthias W.; Birrer, Michael J.; Bloom, Greg; Bogdanova, Natalia; Brenton, James D.; Brinton, Louise A.; Brooks-Wilson, Angela; Brown, Robert; Butzow, Ralf; Campbell, Ian; Carney, Michael E; Carvalho, Renato S.; Chang-Claude, Jenny; Chen, Y. Anne; Chen, Zhihua; Chow, Wong-Ho; Cicek, Mine S.; Coetzee, Gerhard; Cook, Linda S.; Cramer, Daniel W.; Cybulski, Cezary; Dansonka-Mieszkowska, Agnieszka; Despierre, Evelyn; Doherty, Jennifer A; Dörk, Thilo; du Bois, Andreas; Dürst, Matthias; Eccles, Diana; Edwards, Robert; Ekici, Arif B.; Fasching, Peter A.; Fenstermacher, David; Flanagan, James; Gao, Yu-Tang; Garcia-Closas, Montserrat; Gentry-Maharaj, Aleksandra; Giles, Graham; Gjyshi, Anxhela; Gore, Martin; Gronwald, Jacek; Guo, Qi; Halle, Mari K; Harter, Philipp; Hein, Alexander; Heitz, Florian; Hillemanns, Peter; Hoatlin, Maureen; Høgdall, Estrid; Høgdall, Claus K.; Hosono, Satoyo; Jakubowska, Anna; Jensen, Allan; Kalli, Kimberly R.; Karlan, Beth Y.; Kelemen, Linda E.; Kiemeney, Lambertus A.; Kjaer, Susanne Krüger; Konecny, Gottfried E.; Krakstad, Camilla; Kupryjanczyk, Jolanta; Lambrechts, Diether; Lambrechts, Sandrina; Le, Nhu D.; Lee, Nathan; Lee, Janet; Leminen, Arto; Lim, Boon Kiong; Lissowska, Jolanta; Lubiński, Jan; Lundvall, Lene; Lurie, Galina; Massuger, Leon F.A.G.; Matsuo, Keitaro; McGuire, Valerie; McLaughlin, John R; Menon, Usha; Modugno, Francesmary; Moysich, Kirsten B.; Nakanishi, Toru; Narod, Steven A.; Ness, Roberta B.; Nevanlinna, Heli; Nickels, Stefan; Noushmehr, Houtan; Odunsi, Kunle; Olson, Sara; Orlow, Irene; Paul, James; Pejovic, Tanja; Pelttari, Liisa M; Permuth-Wey, Jenny; Pike, Malcolm C; Poole, Elizabeth M; Qu, Xiaotao; Risch, Harvey A.; Rodriguez-Rodriguez, Lorna; Rossing, Mary Anne; Rudolph, Anja; Runnebaum, Ingo; Rzepecka, Iwona K; Salvesen, Helga B.; Schwaab, Ira; Severi, Gianluca; Shen, Hui; Shridhar, Vijayalakshmi; Shu, Xiao-Ou; Sieh, Weiva; Southey, Melissa C.; Spellman, Paul; Tajima, Kazuo; Teo, Soo-Hwang; Terry, Kathryn L.; Thompson, Pamela J; Timorek, Agnieszka; Tworoger, Shelley S.; van Altena, Anne M.; Berg, David Van Den; Vergote, Ignace; Vierkant, Robert A.; Vitonis, Allison F.; Wang-Gohrke, Shan; Wentzensen, Nicolas; Whittemore, Alice S.; Wik, Elisabeth; Winterhoff, Boris; Woo, Yin Ling; Wu, Anna H; Yang, Hannah P.; Zheng, Wei; Ziogas, Argyrios; Zulkifli, Famida; Goodman, Marc T.; Hall, Per; Easton, Douglas F; Pearce, Celeste L; Berchuck, Andrew; Chenevix-Trench, Georgia; Iversen, Edwin; Monteiro, Alvaro N.A.; Gayther, Simon A.; Schildkraut, Joellen M.; Sellers, Thomas A.

    2013-01-01

    Genome wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC) with another two loci being close to genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the United Kingdom. We selected the top 24,551 SNPs for inclusion on the iCOGS custom genotyping array. Follow-up genotyping was carried out in 18,174 cases and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 previously near genome-wide significance and identified three novel loci associated with risk; two loci associated with all EOC subtypes, at 8q21 (rs11782652, P=5.5×10-9) and 10p12 (rs1243180; P=1.8×10-8), and another locus specific to the serous subtype at 17q12 (rs757210; P=8.1×10-10). An integrated molecular analysis of genes and regulatory regions at these loci provided evidence for functional mechanisms underlying susceptibility that implicates CHMP4C in the pathogenesis of ovarian cancer. PMID:23535730

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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...

  16. Genome-wide Association Study Identifies Five Susceptibility Loci for Follicular Lymphoma outside the HLA Region

    NARCIS (Netherlands)

    Skibola, Christine F.; Berndt, Sonja I.; Vijai, Joseph; Conde, Lucia; Wang, Zhaoming; Yeager, Meredith; de Bakker, Paul I. W.; Birmann, Brenda M.; Vajdic, Claire M.; Foo, Jia-Nee; Bracci, Paige M.; Vermeulen, Roel C. H.; Slager, Susan L.; de Sanjose, Silvia; Wang, Sophia S.; Linet, Martha S.; Salles, Gilles; Lan, Qing; Severi, Gianluca; Hjalgrim, Henrik; Lightfoot, Tracy; Melbye, Mads; Gu, Jian; Ghesquieres, Herve; Link, Brian K.; Morton, Lindsay M.; Holly, Elizabeth A.; Smith, Alex; Tinker, Lesley F.; Teras, Lauren R.; Kricker, Anne; Becker, Nikolaus; Purdue, Mark P.; Spinelli, John J.; Zhang, Yawei; Giles, Graham G.; Vineis, Paolo; Monnereau, Alain; Bertrand, Kimberly A.; Albanes, Demetrius; Zeleniuch-Jacquotte, Anne; Gabbas, Attilio; Chung, Charles C.; Burdett, Laurie; Hutchinson, Amy; Lawrence, Charles; Montalvan, Rebecca; Liang, Liming; Huang, Jinyan; Ma, Baoshan; Liu, Jianjun; Adami, Hans-Olov; Glimelius, Bengt; Ye, Yuanqing; Nowakowski, Grzegorz S.; Dogan, Ahmet; Thompson, Carrie A.; Habermann, Thomas M.; Novak, Anne J.; Liebow, Mark; Witzig, Thomas E.; Weiner, George J.; Schenk, Maryjean; Hartge, Patricia; De Roos, Anneclaire J.; Cozen, Wendy; Zhi, Degui; Akers, Nicholas K.; Riby, Jacques; Smith, Martyn T.; Lacher, Mortimer; Villano, Danylo J.; Maria, Ann; Roman, Eve; Kane, Eleanor; Jackson, Rebecca D.; North, Kari E.; Diver, W. Ryan; Turner, Jenny; Armstrong, Bruce K.; Benavente, Yolanda; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; Staines, Anthony; McKay, James; Brooks-Wilson, Angela R.; Zheng, Tongzhang; Holford, Theodore R.; Chamosa, Saioa; Kaaks, Rudolph; Kelly, Rachel S.; Ohlsson, Bodil; Travis, Ruth C.; Weiderpass, Elisabete; Clave, Jacqueline; Giovannucci, Edward; Kraft, Peter; Virtamo, Jarmo; Mazza, Patrizio; Cocco, Pierluigi; Ennas, Maria Grazia; Chiu, Brian C. H.; Fraumeni, Joseph R.; Nieters, Alexandra; Offit, Kenneth; Wu, Xifeng; Cerhan, James R.; Smedby, Karin E.; Chanock, Stephen J.; Rothman, Nathaniel

    2014-01-01

    Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European

  17. 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...

  18. 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

  19. 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...

  20. 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....

  1. 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

  2. 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

  3. 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. Lester (Kathryn); A. Lindblom (Annika); N.M. Lindor (Noralane); S. Lindstrom (Stephen); J. Liu (Jianjun); J. Long (Jirong); J. Lubinski (Jan); P.L. Mai (Phuong); E. Makalic (Enes); K.E. Malone (Kathleen E.); A. Mannermaa (Arto); S. Manoukian (Siranoush); S. Margolin (Sara); F. Marme (Federick); J.W.M. Martens (John); L. McGuffog (Lesley); A. Meindl (Alfons); A. Miller (Austin); R.L. Milne (Roger); P. Miron (Penelope); M. Montagna (Marco); S. Mazoyer (Sylvie); A.-M. Mulligan (Anna-Marie); T.A. Muranen (Taru); K.L. Nathanson (Katherine); S.L. Neuhausen (Susan); H. Nevanlinna (Heli); B.G. Nordestgaard (Børge); R. Nussbaum (Robert); K. Offit (Kenneth); E. Olah; O.I. Olopade (Olufunmilayo I.); J.E. Olson (Janet); A. Osorio (Ana); S.K. Park (Sue K.); P.H.M. Peeters; B. Peissel (Bernard); P. Peterlongo (Paolo); J. Peto (Julian); C. Phelan (Catherine); R. Pilarski (Robert); B. Poppe (Bruce); K. Pykäs (Katri); P. Radice (Paolo); N. Rahman (Nazneen); J. Rantala (Johanna); C. 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

  4. 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.

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

    DEFF Research Database (Denmark)

    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

  6. Evaluation of two putative susceptibility loci for oral clefts in the Danish population

    DEFF Research Database (Denmark)

    Mitchell, L E; Murray, J C; O'Brien, S

    2001-01-01

    . The present study evaluated potential associations between CL+/-P and CP and two putative clefting susceptibility loci, MSX1 and TGFB3, using data from a nationwide case-control study conducted in Denmark from 1991 to 1994. The potential effects of interactions between these genes and two common environmental......-environment interactions involving MSX1 or TGFB3 and either first trimester exposure to maternal cigarette smoke or alcohol consumption....

  7. 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

  8. 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,

  9. 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...

  10. Evaluation of shared genetic susceptibility loci between autoimmune diseases and schizophrenia based on genome-wide association studies

    DEFF Research Database (Denmark)

    Hoeffding, Louise K E; Rosengren, Anders; Thygesen, Johan H

    2017-01-01

    Background: Epidemiological studies have documented higher than expected comorbidity (or, in some cases, inverse comorbidity) between schizophrenia and several autoimmune disorders. It remains unknown whether this comorbidity reflects shared genetic susceptibility loci.  Aims: The present study a...

  11. Identification of six new susceptibility loci for invasive epithelial ovarian cancer

    DEFF Research Database (Denmark)

    Kuchenbaecker, Karoline B; Ramus, Susan J; Tyrer, Jonathan

    2015-01-01

    associations of 11 million genetic variants with EOC risk from 15,437 cases unselected for family history and 30,845 controls and from 15,252 BRCA1 mutation carriers and 8,211 BRCA2 mutation carriers (3,096 with ovarian cancer), and we combined the results in a meta-analysis. This new study design yielded......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...

  12. Investigation of potential non-HLA rheumatoid arthritis susceptibility loci in a European cohort increases the evidence for nine markers

    NARCIS (Netherlands)

    Plant, Darren; Flynn, Edward; Mbarek, Hamdi; Dieudé, Philippe; Cornelis, François; Arlestig, Lisbeth; Dahlqvist, Solbritt Rantapää; Goulielmos, George; Boumpas, Dimitrios T; Sidiropoulos, Prodromos; Johansen, Julia S; Ørnbjerg, Lykke M; Hetland, Merete Lund; Klareskog, Lars; Filer, Andrew; Buckley, Christopher D; Raza, Karim; Witte, Torsten; Schmidt, Reinhold E; Worthington, Jane

    BACKGROUND: Genetic factors have a substantial role in determining development of rheumatoid arthritis (RA), and are likely to account for 50-60% of disease susceptibility. Genome-wide association studies have identified non-human leucocyte antigen RA susceptibility loci which associate with RA with

  13. Genome-wide association study of susceptibility loci for breast cancer in Sardinian population.

    Science.gov (United States)

    Palomba, Grazia; Loi, Angela; Porcu, Eleonora; Cossu, Antonio; Zara, Ilenia; Budroni, Mario; Dei, Mariano; Lai, Sandra; Mulas, Antonella; Olmeo, Nina; Ionta, Maria Teresa; Atzori, Francesco; Cuccuru, Gianmauro; Pitzalis, Maristella; Zoledziewska, Magdalena; Olla, Nazario; Lovicu, Mario; Pisano, Marina; Abecasis, Gonçalo R; Uda, Manuela; Tanda, Francesco; Michailidou, Kyriaki; Easton, Douglas F; Chanock, Stephen J; Hoover, Robert N; Hunter, David J; Schlessinger, David; Sanna, Serena; Crisponi, Laura; Palmieri, Giuseppe

    2015-05-10

    Despite progress in identifying genes associated with breast cancer, many more risk loci exist. Genome-wide association analyses in genetically-homogeneous populations, such as that of Sardinia (Italy), could represent an additional approach to detect low penetrance alleles. We performed a genome-wide association study comparing 1431 Sardinian patients with non-familial, BRCA1/2-mutation-negative breast cancer to 2171 healthy Sardinian blood donors. DNA was genotyped using GeneChip Human Mapping 500 K Arrays or Genome-Wide Human SNP Arrays 6.0. To increase genomic coverage, genotypes of additional SNPs were imputed using data from HapMap Phase II. After quality control filtering of genotype data, 1367 cases (9 men) and 1658 controls (1156 men) were analyzed on a total of 2,067,645 SNPs. Overall, 33 genomic regions (67 candidate SNPs) were associated with breast cancer risk at the p <  0(-6) level. Twenty of these regions contained defined genes, including one already associated with breast cancer risk: TOX3. With a lower threshold for preliminary significance to p < 10(-5), we identified 11 additional SNPs in FGFR2, a well-established breast cancer-associated gene. Ten candidate SNPs were selected, excluding those already associated with breast cancer, for technical validation as well as replication in 1668 samples from the same population. Only SNP rs345299, located in intron 1 of VAV3, remained suggestively associated (p-value, 1.16 x 10(-5)), but it did not associate with breast cancer risk in pooled data from two large, mixed-population cohorts. This study indicated the role of TOX3 and FGFR2 as breast cancer susceptibility genes in BRCA1/2-wild-type breast cancer patients from Sardinian population.

  14. Genome-wide association study of susceptibility loci for breast cancer in Sardinian population

    International Nuclear Information System (INIS)

    Palomba, Grazia; Loi, Angela; Porcu, Eleonora; Cossu, Antonio; Zara, Ilenia

    2015-01-01

    Despite progress in identifying genes associated with breast cancer, many more risk loci exist. Genome-wide association analyses in genetically-homogeneous populations, such as that of Sardinia (Italy), could represent an additional approach to detect low penetrance alleles. We performed a genome-wide association study comparing 1431 Sardinian patients with non-familial, BRCA1/2-mutation-negative breast cancer to 2171 healthy Sardinian blood donors. DNA was genotyped using GeneChip Human Mapping 500 K Arrays or Genome-Wide Human SNP Arrays 6.0. To increase genomic coverage, genotypes of additional SNPs were imputed using data from HapMap Phase II. After quality control filtering of genotype data, 1367 cases (9 men) and 1658 controls (1156 men) were analyzed on a total of 2,067,645 SNPs. Overall, 33 genomic regions (67 candidate SNPs) were associated with breast cancer risk at the p < 10 −6 level. Twenty of these regions contained defined genes, including one already associated with breast cancer risk: TOX3. With a lower threshold for preliminary significance to p < 10 −5 , we identified 11 additional SNPs in FGFR2, a well-established breast cancer-associated gene. Ten candidate SNPs were selected, excluding those already associated with breast cancer, for technical validation as well as replication in 1668 samples from the same population. Only SNP rs345299, located in intron 1 of VAV3, remained suggestively associated (p-value, 1.16x10 −5 ), but it did not associate with breast cancer risk in pooled data from two large, mixed-population cohorts. This study indicated the role of TOX3 and FGFR2 as breast cancer susceptibility genes in BRCA1/2-wild-type breast cancer patients from Sardinian population. The online version of this article (doi:10.1186/s12885-015-1392-9) contains supplementary material, which is available to authorized users

  15. Genome-wide meta-analysis in alopecia areata resolves HLA associations and reveals two new susceptibility loci.

    Science.gov (United States)

    Betz, Regina C; Petukhova, Lynn; Ripke, Stephan; Huang, Hailiang; Menelaou, Androniki; Redler, Silke; Becker, Tim; Heilmann, Stefanie; Yamany, Tarek; Duvic, Madeliene; Hordinsky, Maria; Norris, David; Price, Vera H; Mackay-Wiggan, Julian; de Jong, Annemieke; DeStefano, Gina M; Moebus, Susanne; Böhm, Markus; Blume-Peytavi, Ulrike; Wolff, Hans; Lutz, Gerhard; Kruse, Roland; Bian, Li; Amos, Christopher I; Lee, Annette; Gregersen, Peter K; Blaumeiser, Bettina; Altshuler, David; Clynes, Raphael; de Bakker, Paul I W; Nöthen, Markus M; Daly, Mark J; Christiano, Angela M

    2015-01-22

    Alopecia areata (AA) is a prevalent autoimmune disease with 10 known susceptibility loci. Here we perform the first meta-analysis of research on AA by combining data from two genome-wide association studies (GWAS), and replication with supplemented ImmunoChip data for a total of 3,253 cases and 7,543 controls. The strongest region of association is the major histocompatibility complex, where we fine-map four independent effects, all implicating human leukocyte antigen-DR as a key aetiologic driver. Outside the major histocompatibility complex, we identify two novel loci that exceed the threshold of statistical significance, containing ACOXL/BCL2L11(BIM) (2q13); GARP (LRRC32) (11q13.5), as well as a third nominally significant region SH2B3(LNK)/ATXN2 (12q24.12). Candidate susceptibility gene expression analysis in these regions demonstrates expression in relevant immune cells and the hair follicle. We integrate our results with data from seven other autoimmune diseases and provide insight into the alignment of AA within these disorders. Our findings uncover new molecular pathways disrupted in AA, including autophagy/apoptosis, transforming growth factor beta/Tregs and JAK kinase signalling, and support the causal role of aberrant immune processes in AA.

  16. Identification of six new susceptibility loci for invasive epithelial ovarian cancer.

    Science.gov (United States)

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

    2015-02-01

    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 associations of 11 million genetic variants with EOC risk from 15,437 cases unselected for family history and 30,845 controls and from 15,252 BRCA1 mutation carriers and 8,211 BRCA2 mutation carriers (3,096 with ovarian cancer), and we combined the results in a meta-analysis. This new study design yielded increased statistical power, leading to the discovery of six new EOC susceptibility loci. Variants at 1p36 (nearest gene, WNT4), 4q26 (SYNPO2), 9q34.2 (ABO) and 17q11.2 (ATAD5) were associated with EOC risk, and at 1p34.3 (RSPO1) and 6p22.1 (GPX6) variants were specifically associated with the serous EOC subtype, all with P < 5 × 10(-8). Incorporating these variants into risk assessment tools will improve clinical risk predictions for BRCA1 and BRCA2 mutation carriers.

  17. Further Evidence of Subphenotype Association with Systemic Lupus Erythematosus Susceptibility Loci: A European Cases Only Study

    Science.gov (United States)

    Alonso-Perez, Elisa; Suarez-Gestal, Marian; Calaza, Manuel; Ordi-Ros, Josep; Balada, Eva; Bijl, Marc; Papasteriades, Chryssa; Carreira, Patricia; Skopouli, Fotini N.; Witte, Torsten; Endreffy, Emöke; Marchini, Maurizio; Migliaresi, Sergio; Sebastiani, Gian Domenico; Santos, Maria Jose; Suarez, Ana; Blanco, Francisco J.; Barizzone, Nadia; Pullmann, Rudolf; Ruzickova, Sarka; Lauwerys, Bernard R.; Gomez-Reino, Juan J.; Gonzalez, Antonio

    2012-01-01

    Introduction Systemic Lupus Erythematosus (SLE) shows a spectrum of clinical manifestations that complicate its diagnosis, treatment and research. This variability is likely related with environmental exposures and genetic factors among which known SLE susceptibility loci are prime candidates. The first published analyses seem to indicate that this is the case for some of them, but results are still inconclusive and we aimed to further explore this question. Methods European SLE patients, 1444, recruited at 17 centres from 10 countries were analyzed. Genotypes for 26 SLE associated SNPs were compared between patients with and without each of 11 clinical features: ten of the American College of Rheumatology (ACR) classification criteria (except ANAs) and age of disease onset. These analyses were adjusted for centre of recruitment, top ancestry informative markers, gender and time of follow-up. Overlap of samples with previous studies was excluded for assessing replication. Results There were three new associations: the SNPs in XKR6 and in FAM167A-BLK were associated with lupus nephritis (OR = 0.76 and 1.30, Pcorr = 0.007 and 0.03, respectively) and the SNP of MECP2, which is in chromosome X, with earlier age of disease onset in men. The previously reported association of STAT4 with early age of disease onset was replicated. Some other results were suggestive of the presence of additional associations. Together, the association signals provided support to some previous findings and to the characterization of lupus nephritis, autoantibodies and age of disease onset as the clinical features more associated with SLE loci. Conclusion Some of the SLE loci shape the disease phenotype in addition to increase susceptibility to SLE. This influence is more prominent for some clinical features than for others. However, results are only partially consistent between studies and subphenotype specific GWAS are needed to unravel their genetic component. PMID:23049788

  18. 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

  19. 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

  20. Linezolid susceptibility in Helicobacter pylori, including strains with multidrug resistance.

    Science.gov (United States)

    Boyanova, Lyudmila; Evstatiev, Ivailo; Gergova, Galina; Yaneva, Penka; Mitov, Ivan

    2015-12-01

    Only a few studies have evaluated Helicobacter pylori susceptibility to linezolid. The aim of the present study was to assess linezolid susceptibility in H. pylori, including strains with double/multidrug resistance. The susceptibility of 53 H. pylori strains was evaluated by Etest and a breakpoint susceptibility testing method. Helicobacter pylori resistance rates were as follows: amoxicillin, 1.9%; metronidazole, 37.7%; clarithromycin, 17.0%; tetracycline, 1.9%; levofloxacin, 24.5%; and linezolid (>4 mg/L), 39.6%. The linezolid MIC50 value was 31.2-fold higher than that of clarithromycin and 10.5-fold higher than that of levofloxacin; however, 4 of 11 strains with double/multidrug resistance were linezolid-susceptible. The MIC range of the oxazolidinone agent was larger (0.125-64 mg/L) compared with those in the previous two reports. The linezolid resistance rate was 2.2-fold higher in metronidazole-resistant strains and in strains resistant to at least one antibiotic compared with the remaining strains. Briefly, linezolid was less active against H. pylori compared with clarithromycin and levofloxacin, and linezolid resistance was linked to resistance to metronidazole as well as to resistance to at least one antibiotic. However, linezolid activity against some strains with double/multidrug resistance may render the agent appropriate to treat some associated H. pylori infections following in vitro susceptibility testing of the strains. Clinical trials are required to confirm this suggestion. Copyright © 2015 Elsevier B.V. and the International Society of Chemotherapy. All rights reserved.

  1. Genotyping of the MTL loci and susceptibility to two antifungal agents of Candida glabrata clinical isolates

    Directory of Open Access Journals (Sweden)

    María Teresa Lavaniegos-Sobrino

    2009-08-01

    Full Text Available The opportunistic fungal pathogen Candida glabrata is the second most common isolate from bloodstream infections worldwide and is naturally less susceptible to the antifungal drug fluconazole than other Candida species. C. glabrata is a haploid yeast that contains three mating-type like loci (MTL, although no sexual cycle has been described. Strains containing both types of mating information at the MTL1 locus are found in clinical isolates, but it is thought that strains containing type a information are more common. Here we investigated if a particular combination of mating type information at each MTLlocus is more prevalent in clinical isolates from hospitalized patients in Mexico and if there is a correlation between mating information and resistance to fluconazole and 5-fluorocytosine. We found that while both types of information at MTL1 are equally represented in a collection of 64 clinical isolates, the vast majority of isolates contain a-type information at MTL2 and α-type at MTL3. We also found no correlation of the particular combination of mating type information at the three MTL loci and resistance to fluconazole.

  2. Novel Association Between Immune-Mediated Susceptibility Loci and Persistent Autoantibody Positivity in Type 1 Diabetes

    DEFF Research Database (Denmark)

    Brorsson, Caroline A; Onengut, Suna; Chen, Wei-Min

    2015-01-01

    Islet autoantibodies detected at disease onset in patients with type 1 diabetes are signs of an autoimmune destruction of the insulin-producing β-cells. To further investigate the genetic determinants of autoantibody positivity, we performed dense immune-focused genotyping on the Immunochip array...... and tested for association with seven disease-specific autoantibodies in a large cross-sectional cohort of 6,160 type 1 diabetes-affected siblings. The genetic association with positivity for GAD autoantibodies (GADAs), IA2 antigen (IA-2A), zinc transporter 8, thyroid peroxidase, gastric parietal cells (PCAs...... and constitute candidates for early screening. Major susceptibility loci for islet autoantibodies are separate from type 1 diabetes risk, which may have consequences for intervention strategies to reduce autoimmunity....

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

    Science.gov (United States)

    Beecham, Ashley H; Patsopoulos, Nikolaos A; Xifara, Dionysia K; Davis, Mary F; Kemppinen, Anu; Cotsapas, Chris; Shahi, Tejas S; Spencer, Chris; Booth, David; Goris, An; Oturai, Annette; Saarela, Janna; Fontaine, Bertrand; Hemmer, Bernhard; Martin, Claes; Zipp, Frauke; D’alfonso, Sandra; Martinelli-Boneschi, Filippo; Taylor, Bruce; Harbo, Hanne F; Kockum, Ingrid; Hillert, Jan; Olsson, Tomas; Ban, Maria; Oksenberg, Jorge R; Hintzen, Rogier; Barcellos, Lisa F; Agliardi, Cristina; Alfredsson, Lars; Alizadeh, Mehdi; Anderson, Carl; Andrews, Robert; Søndergaard, Helle Bach; Baker, Amie; Band, Gavin; Baranzini, Sergio E; Barizzone, Nadia; Barrett, Jeffrey; Bellenguez, Céline; Bergamaschi, Laura; Bernardinelli, Luisa; Berthele, Achim; Biberacher, Viola; Binder, Thomas M C; Blackburn, Hannah; Bomfim, Izaura L; Brambilla, Paola; Broadley, Simon; Brochet, Bruno; Brundin, Lou; Buck, Dorothea; Butzkueven, Helmut; Caillier, Stacy J; Camu, William; Carpentier, Wassila; Cavalla, Paola; Celius, Elisabeth G; Coman, Irène; Comi, Giancarlo; Corrado, Lucia; Cosemans, Leentje; Cournu-Rebeix, Isabelle; Cree, Bruce A C; Cusi, Daniele; Damotte, Vincent; Defer, Gilles; Delgado, Silvia R; Deloukas, Panos; di Sapio, Alessia; Dilthey, Alexander T; Donnelly, Peter; Dubois, Bénédicte; Duddy, Martin; Edkins, Sarah; Elovaara, Irina; Esposito, Federica; Evangelou, Nikos; Fiddes, Barnaby; Field, Judith; Franke, Andre; Freeman, Colin; Frohlich, Irene Y; Galimberti, Daniela; Gieger, Christian; Gourraud, Pierre-Antoine; Graetz, Christiane; Graham, Andrew; Grummel, Verena; Guaschino, Clara; Hadjixenofontos, Athena; Hakonarson, Hakon; Halfpenny, Christopher; Hall, Gillian; Hall, Per; Hamsten, Anders; Harley, James; Harrower, Timothy; Hawkins, Clive; Hellenthal, Garrett; Hillier, Charles; Hobart, Jeremy; Hoshi, Muni; Hunt, Sarah E; Jagodic, Maja; Jelčić, Ilijas; Jochim, Angela; Kendall, Brian; Kermode, Allan; Kilpatrick, Trevor; Koivisto, Keijo; Konidari, Ioanna; Korn, Thomas; Kronsbein, Helena; Langford, Cordelia; Larsson, Malin; Lathrop, Mark; Lebrun-Frenay, Christine; Lechner-Scott, Jeannette; Lee, Michelle H; Leone, Maurizio A; Leppä, Virpi; Liberatore, Giuseppe; Lie, Benedicte A; Lill, Christina M; Lindén, Magdalena; Link, Jenny; Luessi, Felix; Lycke, Jan; Macciardi, Fabio; Männistö, Satu; Manrique, Clara P; Martin, Roland; Martinelli, Vittorio; Mason, Deborah; Mazibrada, Gordon; McCabe, Cristin; Mero, Inger-Lise; Mescheriakova, Julia; Moutsianas, Loukas; Myhr, Kjell-Morten; Nagels, Guy; Nicholas, Richard; Nilsson, Petra; Piehl, Fredrik; Pirinen, Matti; Price, Siân E; Quach, Hong; Reunanen, Mauri; Robberecht, Wim; Robertson, Neil P; Rodegher, Mariaemma; Rog, David; Salvetti, Marco; Schnetz-Boutaud, Nathalie C; Sellebjerg, Finn; Selter, Rebecca C; Schaefer, Catherine; Shaunak, Sandip; Shen, Ling; Shields, Simon; Siffrin, Volker; Slee, Mark; Sorensen, Per Soelberg; Sorosina, Melissa; Sospedra, Mireia; Spurkland, Anne; Strange, Amy; Sundqvist, Emilie; Thijs, Vincent; Thorpe, John; Ticca, Anna; Tienari, Pentti; van Duijn, Cornelia; Visser, Elizabeth M; Vucic, Steve; Westerlind, Helga; Wiley, James S; Wilkins, Alastair; Wilson, James F; Winkelmann, Juliane; Zajicek, John; Zindler, Eva; Haines, Jonathan L; Pericak-Vance, Margaret A; Ivinson, Adrian J; Stewart, Graeme; Hafler, David; Hauser, Stephen L; Compston, Alastair; McVean, Gil; De Jager, Philip; Sawcer, Stephen; McCauley, Jacob L

    2013-01-01

    Using the ImmunoChip custom genotyping array, we analysed 14,498 multiple sclerosis subjects and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (p-value multiple sclerosis subjects and 26,703 healthy controls. In these 80,094 individuals of European ancestry we identified 48 new susceptibility variants (p-value multiple sclerosis risk variants in 103 discrete loci outside of the Major Histocompatibility Complex. With high resolution Bayesian fine-mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalogue of multiple sclerosis risk variants and illustrates the value of fine-mapping in the resolution of GWAS signals. PMID:24076602

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

    DEFF Research Database (Denmark)

    Gaulton, Kyle J; Ferreira, Teresa; Lee, Yeji

    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...... signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine mapping...... implicated rs10830963 as driving T2D association. We confirmed that the T2D risk allele for this SNP increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D risk allele...

  5. IL12A, MPHOSPH9/CDK2AP1 and RGS1 are novel multiple sclerosis susceptibility loci

    DEFF Research Database (Denmark)

    Sørensen, Per Soelberg

    2010-01-01

    and the same direction of effect observed in the discovery phase. Three loci exceeded genome-wide significance in the joint analysis: RGS1 (P value=3.55 x 10(-9)), IL12A (P=3.08 x 10(-8)) and MPHOSPH9/CDK2AP1 (P=3.96 x 10(-8)). The RGS1 risk allele is shared with celiac disease (CD), and the IL12A risk allele......A recent meta-analysis identified seven single-nucleotide polymorphisms (SNPs) with suggestive evidence of association with multiple sclerosis (MS). We report an analysis of these polymorphisms in a replication study that includes 8,085 cases and 7,777 controls. A meta-analysis across...... the replication collections and a joint analysis with the discovery data set were performed. The possible functional consequences of the validated susceptibility loci were explored using RNA expression data. For all of the tested SNPs, the effect observed in the replication phase involved the same allele...

  6. Genome-wide meta-analysis in alopecia areata resolves HLA associations and reveals two new susceptibility loci

    NARCIS (Netherlands)

    Betz, Regina C; Petukhova, Lynn; Ripke, Stephan; Huang, Hailiang; Menelaou, Androniki; Redler, Silke; Becker, Tim; Heilmann, Stefanie; Yamany, Tarek; Duvic, Madeliene; Hordinsky, Maria; Norris, David; Price, Vera H; Mackay-Wiggan, Julian; de Jong, Annemieke; DeStefano, Gina M; Moebus, Susanne; Böhm, Markus; Blume-Peytavi, Ulrike; Wolff, Hans; Lutz, Gerhard; Kruse, Roland; Bian, Li; Amos, Christopher I; Lee, Annette; Gregersen, Peter K; Blaumeiser, Bettina; Altshuler, David; Clynes, Raphael; de Bakker, Paul I W; Nöthen, Markus M; Daly, Mark J; Christiano, Angela M

    2015-01-01

    Alopecia areata (AA) is a prevalent autoimmune disease with 10 known susceptibility loci. Here we perform the first meta-analysis of research on AA by combining data from two genome-wide association studies (GWAS), and replication with supplemented ImmunoChip data for a total of 3,253 cases and

  7. 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...

  8. 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...

  9. 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.

  10. Identification of Two Additional Susceptibility Loci for Inflammatory Bowel Disease in a Chinese Population

    Directory of Open Access Journals (Sweden)

    Xiucai Lan

    2017-04-01

    Full Text Available Background/Aims: To investigate the associations between the rs1250569 (zinc finger MIZ-type containing 1, ZMIZ1, rs1042522 (tumour protein p53, TP53, and rs10114470 (tumour necrosis factor-like cytokine 1A, TL1A polymorphisms and the development of inflammatory bowel disease (IBD in a Chinese (Han population. We analysed the expression of genes that predispose patients to Crohn’s disease (CD and ulcerative colitis (UC. Methods: A total of 381 IBD patients and 517 healthy controls were recruited into our study. Polymorphisms at the three loci were genotyped using polymerase chain reaction-ligation detection reactions (PCR-LDR. Genotype-phenotype correlations were analysed. Blood and gut samples were obtained and analysed using quantitative real-time PCR (qRT-PCR, western blot analysis, and immunohistochemistry to investigate the mRNA and protein levels and in situ expression of genes found to predispose patients to IBD. Furthermore, the expression of susceptible genes was further verified using a mouse dextran sulphate sodium (DSS-induced acute colitis model. Results: No significant association was detected between rs1250569 and rs1042522 genotypes and CD or UC susceptibility. However, the frequency of allele A of rs1250569 was much higher in CD patients than that in healthy controls (55.03% vs. 48.48%, respectively; p = 0.044. The mutation rates at rs10114470 were dramatically lower at both the genotype and allele level in patients than those in healthy controls (p = 0.002 at both the genotype and allele level. Additionally, increased ZMIZ1 and TL1A levels were detected in intestinal samples obtained from both IBD patients and DSS-treated mice. Conclusion: rs1250569 (ZMIZ1 and rs10114470 (TL1A are two novel loci that indicate susceptibility to IBD in Han-Chinese patients. Consistent with previous studies, TL1A expression levels were higher in Chinese Han IBD patients and DSS-treated mice. Most importantly, we found that ZMIZ1 expression was

  11. Cell-type-specific enrichment of risk-associated regulatory elements at ovarian cancer susceptibility loci.

    Science.gov (United States)

    Coetzee, Simon G; Shen, Howard C; Hazelett, Dennis J; Lawrenson, Kate; Kuchenbaecker, Karoline; Tyrer, Jonathan; Rhie, Suhn K; Levanon, Keren; Karst, Alison; Drapkin, Ronny; Ramus, Susan J; Couch, Fergus J; Offit, Kenneth; Chenevix-Trench, Georgia; Monteiro, Alvaro N A; Antoniou, Antonis; Freedman, Matthew; Coetzee, Gerhard A; Pharoah, Paul D P; Noushmehr, Houtan; Gayther, Simon A

    2015-07-01

    Understanding the regulatory landscape of the human genome is a central question in complex trait genetics. Most single-nucleotide polymorphisms (SNPs) associated with cancer risk lie in non-protein-coding regions, implicating regulatory DNA elements as functional targets of susceptibility variants. Here, we describe genome-wide annotation of regions of open chromatin and histone modification in fallopian tube and ovarian surface epithelial cells (FTSECs, OSECs), the debated cellular origins of high-grade serous ovarian cancers (HGSOCs) and in endometriosis epithelial cells (EECs), the likely precursor of clear cell ovarian carcinomas (CCOCs). The regulatory architecture of these cell types was compared with normal human mammary epithelial cells and LNCaP prostate cancer cells. We observed similar positional patterns of global enhancer signatures across the three different ovarian cancer precursor cell types, and evidence of tissue-specific regulatory signatures compared to non-gynecological cell types. We found significant enrichment for risk-associated SNPs intersecting regulatory biofeatures at 17 known HGSOC susceptibility loci in FTSECs (P = 3.8 × 10(-30)), OSECs (P = 2.4 × 10(-23)) and HMECs (P = 6.7 × 10(-15)) but not for EECs (P = 0.45) or LNCaP cells (P = 0.88). Hierarchical clustering of risk SNPs conditioned on the six different cell types indicates FTSECs and OSECs are highly related (96% of samples using multi-scale bootstrapping) suggesting both cell types may be precursors of HGSOC. These data represent the first description of regulatory catalogues of normal precursor cells for different ovarian cancer subtypes, and provide unique insights into the tissue specific regulatory variation with respect to the likely functional targets of germline genetic susceptibility variants for ovarian cancer. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  12. 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

  13. 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...

  14. 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...

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

    Science.gov (United States)

    Mahajan, Anubha; Locke, Adam; Rayner, N William; 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, Goncalo R; Almgren, Peter; Baldassarre, Damiano; Balkau, Beverley; Benediktsson, Rafn; Blüher, Matthias; Boeing, Heiner; Bonnycastle, Lori L; Borringer, 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 SF; 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; 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; Perry, John RB; Platou, Carl GP; 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; Wood, Andrew R; Zeggini, Eleftheria; Dunham, Ian; Birney, Ewan; Pasquali, Lorenzo; Ferrer, Jorge; Loos, Ruth JF; 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; Jöckel, 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 NA; 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/near KCNQ1. “Credible sets” of variants most likely to drive each distinct signal mapped predominantly to non-coding sequence, implying that T2D association is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine-mapping implicated rs10830963 as driving T2D association. We confirmed that this T2D-risk allele increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D-risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease. PMID:26551672

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

    NARCIS (Netherlands)

    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.

    2018-01-01

    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

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

    NARCIS (Netherlands)

    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; 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; Chen, Fei; Wang, Zhaoming; Wentzensen, Nicolas; White, Emily; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Kraft, Peter; Li, Donghui; Chanock, Stephen; Albanes, Demetrius; Obazee, Ofure; Petersen, Gloria M; Amundadottir, Laufey T; 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

    2018-01-01

    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

  18. 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.

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

    Directory of Open Access Journals (Sweden)

    Chia-Jung Chang

    Full Text Available 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 populations of Korean and European descent. The BLK region was significantly associated with KD susceptibility in both populations. Within the BLK gene the rs2736340-located linkage disequilibrium (LD comprising the promoter and first intron was strongly associated with KD, with the combined results of Asian studies including Taiwanese, Japanese, and Korean populations (2,539 KD patients and 7,021 controls providing very compelling evidence of association (rs2736340, OR = 1.498, 1.354-1.657; P = 4.74×10(-31. We determined the percentage of B cells present in the peripheral blood mononuclear cell (PBMC population and the expression of BLK in the peripheral blood leukocytes (leukocytes of KD patients during the acute and convalescent stages. The percentage of B cells in the PBMC population and the expression of BLK in leukocytes were induced in patients in the acute stage of KD. In B cell lines derived from KD patients, and in purified B cells from KD patients obtained during the acute stage, those with the risk allele of rs2736340 expressed significantly lower levels of BLK. These results suggest that peripheral B cells play a pathogenic role during the acute stage of KD. Decreased BLK expression in peripheral blood B cells may alter B cell function and predispose individuals to KD. These associative data suggest a role for B cells during acute KD. Understanding the functional implications may facilitate the development of B cell-mediated therapy for KD.

  20. Volumetric mammographic density: heritability and association with breast cancer susceptibility loci.

    Science.gov (United States)

    Brand, Judith S; Humphreys, Keith; Thompson, Deborah J; Li, Jingmei; Eriksson, Mikael; Hall, Per; Czene, Kamila

    2014-12-01

    Mammographic density is a strong heritable trait, but data on its genetic component are limited to area-based and qualitative measures. We studied the heritability of volumetric mammographic density ascertained by a fully-automated method and the association with breast cancer susceptibility loci. Heritability of volumetric mammographic density was estimated with a variance component model in a sib-pair sample (N pairs = 955) of a Swedish screening based cohort. Associations with 82 established breast cancer loci were assessed in an independent sample of the same cohort (N = 4025 unrelated women) using linear models, adjusting for age, body mass index, and menopausal status. All tests were two-sided, except for heritability analyses where one-sided tests were used. After multivariable adjustment, heritability estimates (standard error) for percent dense volume, absolute dense volume, and absolute nondense volume were 0.63 (0.06) and 0.43 (0.06) and 0.61 (0.06), respectively (all P associated with rs10995190 (ZNF365; P = 9.0 × 10(-6) and 8.9 × 10(-7), respectively) and rs9485372 (TAB2; P = 1.8 × 10(-5) and 1.8 × 10(-3), respectively). We also observed associations of rs9383938 (ESR1) and rs2046210 (ESR1) with the absolute dense volume (P = 2.6 × 10(-4) and 4.6 × 10(-4), respectively), and rs6001930 (MLK1) and rs17356907 (NTN4) with the absolute nondense volume (P = 6.7 × 10(-6) and 8.4 × 10(-5), respectively). Our results support the high heritability of mammographic density, though estimates are weaker for absolute than percent dense volume. We also demonstrate that the shared genetic component with breast cancer is not restricted to dense tissues only. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  1. Genetic variants near TIMP3 and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration

    Science.gov (United States)

    Chen, Wei; Stambolian, Dwight; Edwards, Albert O.; Branham, Kari E.; Othman, Mohammad; Jakobsdottir, Johanna; Tosakulwong, Nirubol; Pericak-Vance, Margaret A.; Campochiaro, Peter A.; Klein, Michael L.; Tan, Perciliz L.; Conley, Yvette P.; Kanda, Atsuhiro; Kopplin, Laura; Li, Yanming; Augustaitis, Katherine J.; Karoukis, Athanasios J.; Scott, William K.; Agarwal, Anita; Kovach, Jaclyn L.; Schwartz, Stephen G.; Postel, Eric A.; Brooks, Matthew; Baratz, Keith H.; Brown, William L.; Brucker, Alexander J.; Orlin, Anton; Brown, Gary; Ho, Allen; Regillo, Carl; Donoso, Larry; Tian, Lifeng; Kaderli, Brian; Hadley, Dexter; Hagstrom, Stephanie A.; Peachey, Neal S.; Klein, Ronald; Klein, Barbara E. K.; Gotoh, Norimoto; Yamashiro, Kenji; Ferris, Frederick; Fagerness, Jesen A.; Reynolds, Robyn; Farrer, Lindsay A.; Kim, Ivana K.; Miller, Joan W.; Cortón, Marta; Carracedo, Angel; Sanchez-Salorio, Manuel; Pugh, Elizabeth W.; Doheny, Kimberly F.; Brion, Maria; DeAngelis, Margaret M.; Weeks, Daniel E.; Zack, Donald J.; Chew, Emily Y.; Heckenlively, John R.; Yoshimura, Nagahisa; Iyengar, Sudha K.; Francis, Peter J.; Katsanis, Nicholas; Seddon, Johanna M.; Haines, Jonathan L.; Gorin, Michael B.; Abecasis, Gonçalo R.; Swaroop, Anand; Johnson, Robert N.; Ai, Everett; McDonald, H. Richard; Stolarczuk, Margaret; Pavan, Peter Reed; Billiris, Karina K.; Iyer, Mohan; Menosky, Matthew M.; Pautler, Scott E.; Millard, Sharon M.; Hubbard, Baker; Aaberg, Thomas; DuBois, Lindy; Lyon, Alice; Anderson-Nelson, Susan; Jampol, Lee M.; Weinberg, David V.; Muñana, Annie; Rozenbajgier, Zuzanna; Orth, David; Cohen, Jack; MacCumber, Matthew; MacCumber, Matthew; Figliulo, Celeste; Porcz, Liz; Folk, James; Boldt, H. Culver; Russell, Stephen R.; Ivins, Rachel; Hinz, Connie J.; Barr, Charles C.; Bloom, Steve; Jaegers, Ken; Kritchman, Brian; Whittington, Greg; Heier, Jeffrey; Frederick, Albert R.; Morley, Michael G.; Topping, Trexler; Davis, Heather L.; Bressler, Susan B.; Bressler, Neil M.; Doll, Warren; Trese, Michael; Capone, Antonio; Garretson, Bruce R.; Hassan, Tarek S.; Ruby, Alan J.; Osentoski, Tammy; McCannel, Colin A.; Ruszczyk, Margaret J.; Grand, Gilbert; Blinder, Kevin; Holekamp, Nancy M.; Joseph, Daniel P.; Shah, Gaurav; Nobel, Ginny S.; Antoszyk, Andrew N.; Browning, David J.; Stallings, Alison H; Singerman, Lawrence J.; Miller, David; Novak, Michael; Pendergast, Scott; Zegarra, Hernando; Schura, Stephanie A.; Smith-Brewer, Sheila; Davidorf, Frederick H.; Chambers, Robert; Chorich, Louis; Salerno, Jill; Dreyer, Richard F.; Ma, Colin; Kopfer, Marcia R.; Klein, Michael L.; Wilson, David J.; Nolte, Susan K.; Grunwald, Juan E.; Brucker, Alexander J.; Dunaief, Josh; Fine, Stuart L.; Maguire, Albert M.; Stoltz, Robert A.; McRay, Monique N.; Fish, Gary Edd; Anand, Rajiv; Spencer, Rand; Arnwine, Jean; Chandra, Suresh R.; Altaweel, Michael; Blodi, Barbara; Gottlieb, Justin; Ip, Michael; Nork, T. Michael; Perry-Raymond, Jennie; Fine, Stuart L.; Maguire, Maureen G.; Brightwell-Arnold, Mary; Harkins, Sandra; Peskin, Ellen; Ying, Gui-Shuang; Kurinij, Natalie

    2010-01-01

    We executed a genome-wide association scan for age-related macular degeneration (AMD) in 2,157 cases and 1,150 controls. Our results validate AMD susceptibility loci near CFH (P < 10−75), ARMS2 (P < 10−59), C2/CFB (P < 10−20), C3 (P < 10−9), and CFI (P < 10−6). We compared our top findings with the Tufts/Massachusetts General Hospital genome-wide association study of advanced AMD (821 cases, 1,709 controls) and genotyped 30 promising markers in additional individuals (up to 7,749 cases and 4,625 controls). With these data, we identified a susceptibility locus near TIMP3 (overall P = 1.1 × 10−11), a metalloproteinase involved in degradation of the extracellular matrix and previously implicated in early-onset maculopathy. In addition, our data revealed strong association signals with alleles at two loci (LIPC, P = 1.3 × 10−7; CETP, P = 7.4 × 10−7) that were previously associated with high-density lipoprotein cholesterol (HDL-c) levels in blood. Consistent with the hypothesis that HDL metabolism is associated with AMD pathogenesis, we also observed association with AMD of HDL-c—associated alleles near LPL (P = 3.0 × 10−3) and ABCA1 (P = 5.6 × 10−4). Multilocus analysis including all susceptibility loci showed that 329 of 331 individuals (99%) with the highest-risk genotypes were cases, and 85% of these had advanced AMD. Our studies extend the catalog of AMD associated loci, help identify individuals at high risk of disease, and provide clues about underlying cellular pathways that should eventually lead to new therapies. PMID:20385819

  2. Identification of 19 new risk loci and potential regulatory mechanisms influencing susceptibility to testicular germ cell tumor.

    Science.gov (United States)

    Litchfield, Kevin; Levy, Max; Orlando, Giulia; Loveday, Chey; Law, Philip J; Migliorini, Gabriele; Holroyd, Amy; Broderick, Peter; Karlsson, Robert; Haugen, Trine B; Kristiansen, Wenche; Nsengimana, Jérémie; Fenwick, Kerry; Assiotis, Ioannis; Kote-Jarai, ZSofia; Dunning, Alison M; Muir, Kenneth; Peto, Julian; Eeles, Rosalind; Easton, Douglas F; Dudakia, Darshna; Orr, Nick; Pashayan, Nora; Bishop, D Timothy; Reid, Alison; Huddart, Robert A; Shipley, Janet; Grotmol, Tom; Wiklund, Fredrik; Houlston, Richard S; Turnbull, Clare

    2017-07-01

    Genome-wide association studies (GWAS) have transformed understanding of susceptibility to testicular germ cell tumors (TGCTs), but much of the heritability remains unexplained. Here we report a new GWAS, a meta-analysis with previous GWAS and a replication series, totaling 7,319 TGCT cases and 23,082 controls. We identify 19 new TGCT risk loci, roughly doubling the number of known TGCT risk loci to 44. By performing in situ Hi-C in TGCT cells, we provide evidence for a network of physical interactions among all 44 TGCT risk SNPs and candidate causal genes. Our findings implicate widespread disruption of developmental transcriptional regulators as a basis of TGCT susceptibility, consistent with failed primordial germ cell differentiation as an initiating step in oncogenesis. Defective microtubule assembly and dysregulation of KIT-MAPK signaling also feature as recurrently disrupted pathways. Our findings support a polygenic model of risk and provide insight into the biological basis of TGCT.

  3. Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions

    DEFF Research Database (Denmark)

    Schoeps, Anja; Rudolph, Anja; Seibold, Petra

    2014-01-01

    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......,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...... 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...

  4. Characterizing genetic risk at known prostate cancer susceptibility loci in African Americans.

    Directory of Open Access Journals (Sweden)

    Christopher A Haiman

    2011-05-01

    Full Text Available GWAS of prostate cancer have been remarkably successful in revealing common genetic variants and novel biological pathways that are linked with its etiology. A more complete understanding of inherited susceptibility to prostate cancer in the general population will come from continuing such discovery efforts and from testing known risk alleles in diverse racial and ethnic groups. In this large study of prostate cancer in African American men (3,425 prostate cancer cases and 3,290 controls, we tested 49 risk variants located in 28 genomic regions identified through GWAS in men of European and Asian descent, and we replicated associations (at p≤0.05 with roughly half of these markers. Through fine-mapping, we identified nearby markers in many regions that better define associations in African Americans. At 8q24, we found 9 variants (p≤6×10(-4 that best capture risk of prostate cancer in African Americans, many of which are more common in men of African than European descent. The markers found to be associated with risk at each locus improved risk modeling in African Americans (per allele OR = 1.17 over the alleles reported in the original GWAS (OR = 1.08. In summary, in this detailed analysis of the prostate cancer risk loci reported from GWAS, we have validated and improved upon markers of risk in some regions that better define the association with prostate cancer in African Americans. Our findings with variants at 8q24 also reinforce the importance of this region as a major risk locus for prostate cancer in men of African ancestry.

  5. 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.

  6. Shared activity patterns arising at genetic susceptibility loci reveal underlying genomic and cellular architecture of human disease.

    Science.gov (United States)

    Baillie, J Kenneth; Bretherick, Andrew; Haley, Christopher S; Clohisey, Sara; Gray, Alan; Neyton, Lucile P A; Barrett, Jeffrey; Stahl, Eli A; Tenesa, Albert; Andersson, Robin; Brown, J Ben; Faulkner, Geoffrey J; Lizio, Marina; Schaefer, Ulf; Daub, Carsten; Itoh, Masayoshi; Kondo, Naoto; Lassmann, Timo; Kawai, Jun; Mole, Damian; Bajic, Vladimir B; Heutink, Peter; Rehli, Michael; Kawaji, Hideya; Sandelin, Albin; Suzuki, Harukazu; Satsangi, Jack; Wells, Christine A; Hacohen, Nir; Freeman, Thomas C; Hayashizaki, Yoshihide; Carninci, Piero; Forrest, Alistair R R; Hume, David A

    2018-03-01

    Genetic variants underlying complex traits, including disease susceptibility, are enriched within the transcriptional regulatory elements, promoters and enhancers. There is emerging evidence that regulatory elements associated with particular traits or diseases share similar patterns of transcriptional activity. Accordingly, shared transcriptional activity (coexpression) may help prioritise loci associated with a given trait, and help to identify underlying biological processes. Using cap analysis of gene expression (CAGE) profiles of promoter- and enhancer-derived RNAs across 1824 human samples, we have analysed coexpression of RNAs originating from trait-associated regulatory regions using a novel quantitative method (network density analysis; NDA). For most traits studied, phenotype-associated variants in regulatory regions were linked to tightly-coexpressed networks that are likely to share important functional characteristics. Coexpression provides a new signal, independent of phenotype association, to enable fine mapping of causative variants. The NDA coexpression approach identifies new genetic variants associated with specific traits, including an association between the regulation of the OCT1 cation transporter and genetic variants underlying circulating cholesterol levels. NDA strongly implicates particular cell types and tissues in disease pathogenesis. For example, distinct groupings of disease-associated regulatory regions implicate two distinct biological processes in the pathogenesis of ulcerative colitis; a further two separate processes are implicated in Crohn's disease. Thus, our functional analysis of genetic predisposition to disease defines new distinct disease endotypes. We predict that patients with a preponderance of susceptibility variants in each group are likely to respond differently to pharmacological therapy. Together, these findings enable a deeper biological understanding of the causal basis of complex traits.

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

    Science.gov (United States)

    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

  8. Common breast cancer susceptibility loci are associated with triple negative breast cancer

    Science.gov (United States)

    Stevens, Kristen N.; Vachon, Celine M.; Lee, Adam M.; Slager, Susan; Lesnick, Timothy; Olswold, Curtis; Fasching, Peter A.; Miron, Penelope; Eccles, Diana; Carpenter, Jane E.; Godwin, Andrew K.; Ambrosone, Christine; Winqvist, Robert; Schmidt, Marjanka K.; Cox, Angela; Cross, Simon S.; Sawyer, Elinor; Hartmann, Arndt; Beckmann, Matthias W.; Schulz-Wendtland, Rüdiger; Ekici, Arif B.; Tapper, William J; Gerty, Susan M; Durcan, Lorraine; Graham, Nikki; Hein, Rebecca; Nickels, Stephan; Flesch-Janys, Dieter; Heinz, Judith; Sinn, Hans-Peter; Konstantopoulou, Irene; Fostira, Florentia; Pectasides, Dimitrios; Dimopoulos, Athanasios M.; Fountzilas, George; Clarke, Christine L.; Balleine, Rosemary; Olson, Janet E.; Fredericksen, Zachary; Diasio, Robert B.; Pathak, Harsh; Ross, Eric; Weaver, JoEllen; Rüdiger, Thomas; Försti, Asta; Dünnebier, Thomas; Ademuyiwa, Foluso; Kulkarni, Swati; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Ko, Yon-Dschun; Van Limbergen, Erik; Janssen, Hilde; Peto, Julian; Fletcher, Olivia; Giles, Graham G.; Baglietto, Laura; Verhoef, Senno; Tomlinson, Ian; Kosma, Veli-Matti; Beesley, Jonathan; Greco, Dario; Blomqvist, Carl; Irwanto, Astrid; Liu, Jianjun; Blows, Fiona M.; Dawson, Sarah-Jane; Margolin, Sara; Mannermaa, Arto; Martin, Nicholas G.; Montgomery, Grant W; Lambrechts, Diether; dos Santos Silva, Isabel; Severi, Gianluca; Hamann, Ute; Pharoah, Paul; Easton, Douglas F.; Chang-Claude, Jenny; Yannoukakos, Drakoulis; Nevanlinna, Heli; Wang, Xianshu; Couch, Fergus J.

    2012-01-01

    Triple negative breast cancers are an aggressive subtype of breast cancer with poor survival, but there remains little known about the etiological factors which promote its initiation and development. Commonly inherited breast cancer risk factors identified through genome wide association studies (GWAS) display heterogeneity of effect among breast cancer subtypes as defined by estrogen receptor (ER) and progesterone receptor (PR) status. In the Triple Negative Breast Cancer Consortium (TNBCC), 22 common breast cancer susceptibility variants were investigated in 2,980 Caucasian women with triple negative breast cancer and 4,978 healthy controls. We identified six single nucleotide polymorphisms (SNPs) significantly associated with risk of triple negative breast cancer, including rs2046210 (ESR1), rs12662670 (ESR1), rs3803662 (TOX3), rs999737 (RAD51L1), rs8170 (19p13.11) and rs8100241 (19p13.11). Together, our results provide convincing evidence of genetic susceptibility for triple negative breast cancer. PMID:21844186

  9. Three ulcerative colitis susceptibility loci are associated with primary sclerosing cholangitis and indicate a role for IL2, REL, and CARD9

    NARCIS (Netherlands)

    Janse, Marcel; Lamberts, Laetitia E.; Franke, Lude; Raychaudhuri, Soumya; Ellinghaus, Eva; Muri Boberg, Kirsten; Melum, Espen; Folseraas, Trine; Schrumpf, Erik; Bergquist, Annika; Björnsson, Einar; Fu, Jingyuan; Jan Westra, Harm; Groen, Harry J. M.; Fehrmann, Rudolf S. N.; Smolonska, Joanna; van den Berg, Leonard H.; Ophoff, Roel A.; Porte, Robert J.; Weismüller, Tobias J.; Wedemeyer, Jochen; Schramm, Christoph; Sterneck, Martina; Günther, Rainer; Braun, Felix; Vermeire, Severine; Henckaerts, Liesbet; Wijmenga, Cisca; Ponsioen, Cyriel Y.; Schreiber, Stefan; Karlsen, Tom H.; Franke, Andre; Weersma, Rinse K.

    2011-01-01

    Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease characterized by inflammation and fibrosis of the bile ducts. Both environmental and genetic factors contribute to its pathogenesis. To further clarify its genetic background, we investigated susceptibility loci recently

  10. Three Ulcerative Colitis Susceptibility Loci Are Associated with Primary Sclerosing Cholangitis and Indicate a Role for IL2, REL, and CARD9

    NARCIS (Netherlands)

    Janse, Marcel; Lamberts, Laetitia E.; Franke, Lude; Raychaudhuri, Soumya; Ellinghaus, Eva; Boberg, Kirsten Muri; Melum, Espen; Folseraas, Trine; Schrumpf, Erik; Bergquist, Annika; Bjornsson, Einar; Fu, Jingyuan; Westra, Harm Jan; Groen, Harry J. M.; Fehrmann, Rudolf S. N.; Smolonska, Joanna; van den Berg, Leonard H.; Ophoff, Roel A.; Porte, Robert J.; Weismueller, Tobias J.; Wedemeyer, Jochen; Schramm, Christoph; Sterneck, Martina; Guenther, Rainer; Braun, Felix; Vermeire, Severine; Henckaerts, Liesbet; Wijmenga, Cisca; Ponsioen, Cyriel Y.; Schreiber, Stefan; Karlsen, Tom H.; Franke, Andre; Weersma, Rinse K.

    Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease characterized by inflammation and fibrosis of the bile ducts. Both environmental and genetic factors contribute to its pathogenesis. To further clarify its genetic background, we investigated susceptibility loci recently

  11. High density genetic mapping identifies new susceptibility loci for rheumatoid arthritis

    Science.gov (United States)

    Eyre, Steve; Bowes, John; Diogo, Dorothée; 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; Ärlsetig, Lisbeth; Martin, Javier; Rantapää-Dahlqvist, Solbritt; Plenge, Robert; Raychaudhuri, Soumya; Klareskog, Lars; Gregersen, Peter K; Worthington, Jane

    2012-01-01

    Summary Using the Immunochip custom single nucleotide polymorphism (SNP) array, designed for dense genotyping of 186 genome wide association study (GWAS) confirmed loci we analysed 11,475 rheumatoid arthritis cases of European ancestry and 15,870 controls for 129,464 markers. The data were combined in meta-analysis with GWAS data from additional independent cases (n=2,363) and controls (n=17,872). We identified fourteen novel loci; nine were associated with rheumatoid arthritis overall and 5 specifically in anti-citrillunated peptide antibody positive disease, bringing the number of confirmed European ancestry rheumatoid arthritis loci to 46. We refined the peak of association to a single gene for 19 loci, identified secondary independent effects at six loci and association to low frequency variants (minor allele frequency <0.05) at 4 loci. Bioinformatic analysis of the data generated strong hypotheses for the causal SNP at seven loci. This study illustrates the advantages of dense SNP mapping analysis to inform subsequent functional investigations. PMID:23143596

  12. Mapping of murine radiation-induced acute myeloid leukaemia susceptibility loci

    International Nuclear Information System (INIS)

    Darakhshan, F.

    2001-01-01

    Studies on radiation-induced AML have shown characteristic phenotypic variation in susceptibility amongst inbred mouse strains, suggesting the involvement of genetic factors in determining the development of AML post-irradiation exposure. The main objective of the present study therefore was to identify and map markers in linkage disequilibrium with gene variants associated with influencing susceptibility to radiation induced AML in mice. Given Chr 2 abnormalities are characteristic of AML in mice, this feature was exploited in an effort to overcome the long latency for AML development. Analysis of Chr 2 aberrations at 24 and 48 h following irradiation established a positive correlation between Chr 2 radiosensitivity and radiation-AML susceptibility thus validating the choice of substitute assay. The analysis also resulted in the identification of a further trait, additional to Chr 2 radiosensitivity, termed overall chromosome radiosensitivity. Genetic mapping of Chr 2 radiosensitivity using public domain microsatellite database information resulted in the definition of cluster regions on 7 different chromosomes. Further genotyping reduced the candidate regions to 3 specific regions of interest. A test of allelic association could not ascertain a conclusive link between markers at these regions and the Chr 2 radiosensitivity/radiation-AML susceptibility phenotype. However, a region on Chr 4 around D4Mit221 appears to be most strongly associated. Similar studies identified three chromosomal regions of interest (on Chrs 4, 8 and 16) associated with overall chromosome radiosensitivity trait. An independent mapping strategy using F3 RCS confirmed the likely involvement of two of the candidate Chr 2 radiosensitivity regions identified by the inbred analysis including that on Chr 4 and also highlighted phenotypic heterogeneity amongst resistant RC strains, suggesting the influence of multiple alleles in specific phenotypes. RFLP analysis of candidate genes, localised on

  13. [Linkage analysis of susceptibility loci in 2 target chromosomes in pedigrees with paranoid schizophrenia and undifferentiated schizophrenia].

    Science.gov (United States)

    Zeng, Li-ping; Hu, Zheng-mao; Mu, Li-li; Mei, Gui-sen; Lu, Xiu-ling; Zheng, Yong-jun; Li, Pei-jian; Zhang, Ying-xue; Pan, Qian; Long, Zhi-gao; Dai, He-ping; Zhang, Zhuo-hua; Xia, Jia-hui; Zhao, Jing-ping; Xia, Kun

    2011-06-01

    To investigate the relationship of susceptibility loci in chromosomes 1q21-25 and 6p21-25 and schizophrenia subtypes in Chinese population. A genomic scan and parametric and non-parametric analyses were performed on 242 individuals from 36 schizophrenia pedigrees, including 19 paranoid schizophrenia and 17 undifferentiated schizophrenia pedigrees, from Henan province of China using 5 microsatellite markers in the chromosome region 1q21-25 and 8 microsatellite markers in the chromosome region 6p21-25, which were the candidates of previous studies. All affected subjects were diagnosed and typed according to the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revised (DSM-IV-TR; American Psychiatric Association, 2000). All subjects signed informed consent. In chromosome 1, parametric analysis under the dominant inheritance mode of all 36 pedigrees showed that the maximum multi-point heterogeneity Log of odds score method (HLOD) score was 1.33 (α = 0.38). The non-parametric analysis and the single point and multi-point nonparametric linkage (NPL) scores suggested linkage at D1S484, D1S2878, and D1S196. In the 19 paranoid schizophrenias pedigrees, linkage was not observed for any of the 5 markers. In the 17 undifferentiated schizophrenia pedigrees, the multi-point NPL score was 1.60 (P= 0.0367) at D1S484. The single point NPL score was 1.95(P= 0.0145) and the multi-point NPL score was 2.39 (P= 0.0041) at D1S2878. Additionally, the multi-point NPL score was 1.74 (P= 0.0255) at D1S196. These same three loci showed suggestive linkage during the integrative analysis of all 36 pedigrees. In chromosome 6, parametric linkage analysis under the dominant and recessive inheritance and the non-parametric linkage analysis of all 36 pedigrees and the 17 undifferentiated schizophrenia pedigrees, linkage was not observed for any of the 8 markers. In the 19 paranoid schizophrenias pedigrees, parametric analysis showed that under recessive

  14. Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis.

    Science.gov (United States)

    Peters, Ulrike; Jiao, Shuo; Schumacher, Fredrick R; Hutter, Carolyn M; Aragaki, Aaron K; Baron, John A; Berndt, Sonja I; Bézieau, Stéphane; Brenner, Hermann; Butterbach, Katja; Caan, Bette J; Campbell, Peter T; Carlson, Christopher S; Casey, Graham; Chan, Andrew T; Chang-Claude, Jenny; Chanock, Stephen J; Chen, Lin S; Coetzee, Gerhard A; Coetzee, Simon G; Conti, David V; Curtis, Keith R; Duggan, David; Edwards, Todd; Fuchs, Charles S; Gallinger, Steven; Giovannucci, Edward L; Gogarten, Stephanie M; Gruber, Stephen B; Haile, Robert W; Harrison, Tabitha A; Hayes, Richard B; Henderson, Brian E; Hoffmeister, Michael; Hopper, John L; Hudson, Thomas J; Hunter, David J; Jackson, Rebecca D; Jee, Sun Ha; Jenkins, Mark A; Jia, Wei-Hua; Kolonel, Laurence N; Kooperberg, Charles; Küry, Sébastien; Lacroix, Andrea Z; Laurie, Cathy C; Laurie, Cecelia A; Le Marchand, Loic; Lemire, Mathieu; Levine, David; Lindor, Noralane M; Liu, Yan; Ma, Jing; Makar, Karen W; Matsuo, Keitaro; Newcomb, Polly A; Potter, John D; Prentice, Ross L; Qu, Conghui; Rohan, Thomas; Rosse, Stephanie A; Schoen, Robert E; Seminara, Daniela; Shrubsole, Martha; Shu, Xiao-Ou; Slattery, Martha L; Taverna, Darin; Thibodeau, Stephen N; Ulrich, Cornelia M; White, Emily; Xiang, Yongbing; Zanke, Brent W; Zeng, Yi-Xin; Zhang, Ben; Zheng, Wei; Hsu, Li

    2013-04-01

    Heritable factors contribute to the development of colorectal cancer. Identifying the genetic loci associated with colorectal tumor formation could elucidate the mechanisms of pathogenesis. We conducted a genome-wide association study that included 14 studies, 12,696 cases of colorectal tumors (11,870 cancer, 826 adenoma), and 15,113 controls of European descent. The 10 most statistically significant, previously unreported findings were followed up in 6 studies; these included 3056 colorectal tumor cases (2098 cancer, 958 adenoma) and 6658 controls of European and Asian descent. Based on the combined analysis, we identified a locus that reached the conventional genome-wide significance level at less than 5.0 × 10(-8): an intergenic region on chromosome 2q32.3, close to nucleic acid binding protein 1 (most significant single nucleotide polymorphism: rs11903757; odds ratio [OR], 1.15 per risk allele; P = 3.7 × 10(-8)). We also found evidence for 3 additional loci with P values less than 5.0 × 10(-7): a locus within the laminin gamma 1 gene on chromosome 1q25.3 (rs10911251; OR, 1.10 per risk allele; P = 9.5 × 10(-8)), a locus within the cyclin D2 gene on chromosome 12p13.32 (rs3217810 per risk allele; OR, 0.84; P = 5.9 × 10(-8)), and a locus in the T-box 3 gene on chromosome 12q24.21 (rs59336; OR, 0.91 per risk allele; P = 3.7 × 10(-7)). In a large genome-wide association study, we associated polymorphisms close to nucleic acid binding protein 1 (which encodes a DNA-binding protein involved in DNA repair) with colorectal tumor risk. We also provided evidence for an association between colorectal tumor risk and polymorphisms in laminin gamma 1 (this is the second gene in the laminin family to be associated with colorectal cancers), cyclin D2 (which encodes for cyclin D2), and T-box 3 (which encodes a T-box transcription factor and is a target of Wnt signaling to β-catenin). The roles of these genes and their products in cancer pathogenesis warrant further

  15. Genome Wide Identification of SARS-CoV Susceptibility Loci Using the Collaborative Cross.

    Directory of Open Access Journals (Sweden)

    Lisa E Gralinski

    2015-10-01

    Full Text Available New systems genetics approaches are needed to rapidly identify host genes and genetic networks that regulate complex disease outcomes. Using genetically diverse animals from incipient lines of the Collaborative Cross mouse panel, we demonstrate a greatly expanded range of phenotypes relative to classical mouse models of SARS-CoV infection including lung pathology, weight loss and viral titer. Genetic mapping revealed several loci contributing to differential disease responses, including an 8.5Mb locus associated with vascular cuffing on chromosome 3 that contained 23 genes and 13 noncoding RNAs. Integrating phenotypic and genetic data narrowed this region to a single gene, Trim55, an E3 ubiquitin ligase with a role in muscle fiber maintenance. Lung pathology and transcriptomic data from mice genetically deficient in Trim55 were used to validate its role in SARS-CoV-induced vascular cuffing and inflammation. These data establish the Collaborative Cross platform as a powerful genetic resource for uncovering genetic contributions of complex traits in microbial disease severity, inflammation and virus replication in models of outbred populations.

  16. Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers

    DEFF Research Database (Denmark)

    Onengut-Gumuscu, Suna; Chen, Wei-Min; Burren, Oliver

    2015-01-01

    Genetic studies of type 1 diabetes (T1D) have identified 50 susceptibility regions, finding major pathways contributing to risk, with some loci shared across immune disorders. To make genetic comparisons across autoimmune disorders as informative as possible, a dense genotyping array...... and significantly least similar to ulcerative colitis, and provided support for three additional new T1D risk loci. Using a Bayesian approach, we defined credible sets for the T1D-associated SNPs. The associated SNPs localized to enhancer sequences active in thymus, T and B cells, and CD34(+) stem cells. Enhancer-promoter......, the Immunochip, was developed, from which we identified four new T1D-associated regions (P comparative analysis with 15 immune diseases showed that T1D is more similar genetically to other autoantibody-positive diseases, significantly most similar to juvenile idiopathic arthritis...

  17. Genomewide Linkage Screen for Waldenström Macroglobulinemia Susceptibility Loci in High-Risk Families

    Science.gov (United States)

    McMaster, Mary L.; Goldin, Lynn R.; Bai, Yan; Ter-Minassian, Monica; Boehringer, Stefan; Giambarresi, Therese R.; Vasquez, Linda G.; Tucker, Margaret A.

    2006-01-01

    Waldenström macroglobulinemia (WM), a distinctive subtype of non-Hodgkin lymphoma that features overproduction of immunoglobulin M (IgM), clearly has a familial component; however, no susceptibility genes have yet been identified. We performed a genomewide linkage analysis in 11 high-risk families with WM that were informative for linkage, for a total of 122 individuals with DNA samples, including 34 patients with WM and 10 patients with IgM monoclonal gammopathy of undetermined significance (IgM MGUS). We genotyped 1,058 microsatellite markers (average spacing 3.5 cM), performed both nonparametric and parametric linkage analysis, and computed both two-point and multipoint linkage statistics. The strongest evidence of linkage was found on chromosomes 1q and 4q when patients with WM and with IgM MGUS were both considered affected; nonparametric linkage scores were 2.5 (P=.0089) and 3.1 (P=.004), respectively. Other locations suggestive of linkage were found on chromosomes 3 and 6. Results of two-locus linkage analysis were consistent with independent effects. The findings from this first linkage analysis of families at high risk for WM represent important progress toward identifying gene(s) that modulate susceptibility to WM and toward understanding its complex etiology. PMID:16960805

  18. Identification of genomic loci associated with Rhodococcus equi susceptibility in foals.

    Directory of Open Access Journals (Sweden)

    Cole M McQueen

    Full Text Available Pneumonia caused by Rhodococcus equi is a common cause of disease and death in foals. Although agent and environmental factors contribute to the incidence of this disease, the genetic factors influencing the clinical outcomes of R. equi pneumonia are ill-defined. Here, we performed independent single nucleotide polymorphism (SNP- and copy number variant (CNV-based genome-wide association studies to identify genomic loci associated with R. equi pneumonia in foals. Foals at a large Quarter Horse breeding farm were categorized into 3 groups: 1 foals with R. equi pneumonia (clinical group [N = 43]; 2 foals with ultrasonographic evidence of pulmonary lesions that never developed clinical signs of pneumonia (subclinical group [N = 156]; and, 3 foals without clinical signs or ultrasonographic evidence of pneumonia (unaffected group [N = 49]. From each group, 24 foals were randomly selected and used for independent SNP- and CNV-based genome-wide association studies (GWAS. The SNP-based GWAS identified a region on chromosome 26 that had moderate evidence of association with R. equi pneumonia when comparing clinical and subclinical foals. A joint analysis including all study foals revealed a 3- to 4-fold increase in odds of disease for a homozygous SNP within the associated region when comparing the clinical group with either of the other 2 groups of foals or their combination. The region contains the transient receptor potential cation channel, subfamily M, member 2 (TRPM2 gene, which is involved in neutrophil function. No associations were identified in the CNV-based GWAS. Collectively, these data identify a region on chromosome 26 associated with R. equi pneumonia in foals, providing evidence that genetic factors may indeed contribute to this important disease of foals.

  19. Association between glioma susceptibility loci and tumour pathology defines specific molecular etiologies.

    Science.gov (United States)

    Di Stefano, Anna Luisa; Enciso-Mora, Victor; Marie, Yannick; Desestret, Virginie; Labussière, Marianne; Boisselier, Blandine; Mokhtari, Karima; Idbaih, Ahmed; Hoang-Xuan, Khe; Delattre, Jean-Yves; Houlston, Richard S; Sanson, Marc

    2013-05-01

    Genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) at 7 loci influencing glioma risk: rs2736100 (TERT), rs11979158 and rs2252586 (EGFR), rs4295627 (CCDC26), rs4977756 (CDKN2A/CDKN2B), rs498872 (PHLDB1), and rs6010620 (RTEL1). We studied the relationship among these 7 glioma-risk SNPs and characteristics of tumors from 1374 patients, including grade, IDH (ie IDH1 or IDH2) mutation, EGFR amplification, CDKN2A-p16-INK4a homozygous deletion, 9p and 10q loss, and 1p-19q codeletion. rs2736100 (TERT) and rs6010620 (RTEL1) risk alleles were associated with high-grade disease, EGFR amplification, CDKN2A-p16-INK4a homozygous deletion, and 9p and 10q deletion; rs4295627 (CCDC26) and rs498872 (PHLDB1) were associated with low-grade disease, IDH mutation, and 1p-19q codeletion. In contrast, rs4977756 (CDKN2A/B), rs11979158 (EGFR), and to a lesser extent, rs2252586 (EGFR) risk alleles were independent of tumor grade and genetic profile. Adjusting for tumor grade showed a significant association between rs2736100 and IDH status (P = .01), 10q loss (P = .02); rs4295627 and 1p-19q codeletion (P = .04), rs498872 and IDH (P = .02), 9p loss (P = .04), and 10q loss (P = .02). Case-control analyses stratified into 4 molecular classes (defined by 1p-19q status, IDH mutation, and EGFR amplification) showed an association of rs4295627 and rs498872 with IDH-mutated gliomas (P RTEL1, CCDC26, and PHLDB1 variants were associated with different genetic profiles that annotate distinct molecular pathways. Our findings provide further insight into the biological basis of glioma etiology.

  20. Genome-wide high-density SNP linkage search for glioma susceptibility loci: results from the Gliogene Consortium

    DEFF Research Database (Denmark)

    Shete, Sanjay; Lau, Ching C; Houlston, Richard S

    2011-01-01

    .S. families and obtained a maximum NPL score of 1.26 (P = 0.008) and the Z-score of 1.47 (P = 0.035). Accounting for the genetic heterogeneity using the ordered subset analysis approach, the combined analyses of 75 families resulted in a maximum NPL score of 3.81 (P = 0.00001). The genomic regions we have...... implicated in this study may offer novel insights into glioma susceptibility, focusing future work to identify genes that cause familial glioma.......-fold increased risk of glioma, the search for susceptibility loci in familial forms of the disease has been challenging because the disease is relatively rare, fatal, and heterogeneous, making it difficult to collect sufficient biosamples from families for statistical power. To address this challenge...

  1. Multiple susceptibility loci for radiation-induced mammary tumorigenesis in F2[Dahl S x R]-intercross rats.

    Directory of Open Access Journals (Sweden)

    Victoria L Herrera

    Full Text Available Although two major breast cancer susceptibility genes, BRCA1 and BRCA2, have been identified accounting for 20% of breast cancer genetic risk, identification of other susceptibility genes accounting for 80% risk remains a challenge due to the complex, multi-factorial nature of breast cancer. Complexity derives from multiple genetic determinants, permutations of gene-environment interactions, along with presumptive low-penetrance of breast cancer predisposing genes, and genetic heterogeneity of human populations. As with other complex diseases, dissection of genetic determinants in animal models provides key insight since genetic heterogeneity and environmental factors can be experimentally controlled, thus facilitating the detection of quantitative trait loci (QTL. We therefore, performed the first genome-wide scan for loci contributing to radiation-induced mammary tumorigenesis in female F2-(Dahl S x R-intercross rats. Tumorigenesis was measured as tumor burden index (TBI after induction of rat mammary tumors at forty days of age via ¹²⁷Cs-radiation. We observed a spectrum of tumor latency, size-progression, and pathology from poorly differentiated ductal adenocarcinoma to fibroadenoma, indicating major effects of gene-environment interactions. We identified two mammary tumorigenesis susceptibility quantitative trait loci (Mts-QTLs with significant linkage: Mts-1 on chromosome-9 (LOD-2.98 and Mts-2 on chromosome-1 (LOD-2.61, as well as two Mts-QTLs with suggestive linkage: Mts-3 on chromosome-5 (LOD-1.93 and Mts-4 on chromosome-18 (LOD-1.54. Interestingly, Chr9-Mts-1, Chr5-Mts-3 and Chr18-Mts-4 QTLs are unique to irradiation-induced mammary tumorigenesis, while Chr1-Mts-2 QTL overlaps with a mammary cancer susceptibility QTL (Mcs 3 reported for 7,12-dimethylbenz-[α]antracene (DMBA-induced mammary tumorigenesis in F2[COP x Wistar-Furth]-intercross rats. Altogether, our results suggest at least three distinct susceptibility QTLs for

  2. 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

  3. 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...

  4. 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 ...

  5. Susceptibility loci for sporadic brain arteriovenous malformation; a replication study and meta-analysis

    NARCIS (Netherlands)

    Kremer, P.H.; Koeleman, B.P.C.; Rinkel, G.J.; Diekstra, F.P.; Berg, L.H. van den; Veldink, J.H.; Klijn, C.J.M.

    2016-01-01

    BACKGROUND: Case-control studies have reported multiple genetic loci to be associated with sporadic brain arteriovenous malformations (AVMs) but most of these have not been replicated in independent populations. The aim of this study was to find additional evidence for these reported associations

  6. 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))

  7. 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

  8. 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

  9. 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.

  10. Joint effects of colorectal cancer susceptibility loci, circulating 25-hydroxyvitamin D and risk of colorectal cancer.

    Directory of Open Access Journals (Sweden)

    Linda T Hiraki

    Full Text Available Genome wide association studies (GWAS have identified several SNPs associated with colorectal cancer (CRC susceptibility. Vitamin D is also inversely associated with CRC risk.We examined main and joint effects of previously GWAS identified genetic markers of CRC and plasma 25-hydroxyvitamin D (25(OHD on CRC risk in three prospective cohorts: the Nurses' Health Study (NHS, the Health Professionals Follow-up Study (HPFS, and the Physicians' Health Study (PHS. We included 1895 CRC cases and 2806 controls with genomic DNA. We calculated odds ratios and 95% confidence intervals for CRC associated with additive genetic risk scores (GRSs comprised of all CRC SNPs and subsets of these SNPs based on proximity to regions of increased vitamin D receptor binding to vitamin D response elements (VDREs, based on published ChiP-seq data. Among a subset of subjects with additional prediagnostic 25(OHD we tested multiplicative interactions between plasma 25(OHD and GRS's. We used fixed effects models to meta-analyze the three cohorts.The per allele multivariate OR was 1.12 (95% CI, 1.06-1.19 for GRS-proximalVDRE; and 1.10 (95% CI, 1.06-1.14 for GRS-nonproxVDRE. The lowest quartile of plasma 25(OHD compared with the highest, had a multivariate OR of 0.63 (95% CI, 0.48-0.82 for CRC. We did not observe any significant interactions between any GRSs and plasma 25(OHD.We did not observe evidence for the modification of genetic susceptibility for CRC according to vitamin D status, or evidence that the effect of common CRC risk alleles differed according to their proximity to putative VDR binding sites.

  11. Using case-control designs for genome-wide screening for associations between genetic markers and disease susceptibility loci.

    Science.gov (United States)

    Yang, Q; Khoury, M J; Atkinson, M; Sun, F; Cheng, R; Flanders, W D

    1999-01-01

    We used a case-control design to scan the genome for any associations between genetic markers and disease susceptibility loci using the first two replicates of the Mycenaean population from the GAW11 (Problem 2) data. Using a case-control approach, we constructed a series of 2-by-3 tables for each allele of every marker on all six chromosomes. Odds ratios (ORs) and 95% confidence intervals (95% CI) were estimated for all alleles of every marker. We selected the one allele for which the estimated OR had the minimum p-value to plot in the graph. Among these selected ORs, we calculated 95% CI for those that had a p-value Mycenaean population, the case-control design identified allele number 1 of marker 24 on chromosome 1 to be associated with a disease susceptibility gene, OR = 2.10 (95% CI 1.66-2.62). Our approach failed to show any other significant association between case-control status and genetic markers. Stratified analysis on the environmental risk factor (E1) provided no further evidence of significant association other than allele 1 of marker 24 on chromosome 1. These data indicate the absence of linkage disequilibrium for markers flanking loci A, B, and C. Finally, we examined the effect of gene x environment (G x E) interaction for the identified allele. Our results provided no evidence of G x E interaction, but suggested that the environmental exposure alone was a risk factor for the disease.

  12. Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2

    DEFF Research Database (Denmark)

    Orr, Nick; Dudbridge, Frank; Dryden, Nicola

    2015-01-01

    We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further...

  13. Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2

    NARCIS (Netherlands)

    N. Orr (Nick); F. Dudbridge (Frank); N. Dryden (Nicola); S. Maguire (Sarah); D. Novo (Daniela); E. Perrakis (Eleni); N. Johnson (Nichola); M. Ghoussaini (Maya); J. Hopper (John); M.C. Southey (Melissa); C. Apicella (Carmel); J. Stone (Jennifer); M.K. Schmidt (Marjanka); A. Broeks (Annegien); L.J. van 't Veer (Laura); F.B.L. Hogervorst (Frans); P.A. Fasching (Peter); L. Haeberle (Lothar); A.B. Ekici (Arif); M.W. Beckmann (Matthias); L.J. Gibson (Lorna); A. Aitken; H. Warren (Helen); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); N. Miller (Nicola); B. Burwinkel (Barbara); F. Marme (Federick); A. Schneeweiss (Andreas); C. Sohn (Chistof); P. Guénel (Pascal); T. Truong (Thérèse); E. Cordina-Duverger (Emilie); M. Sanchez (Marie); S.E. Bojesen (Stig); B.G. Nordestgaard (Børge); S.F. Nielsen (Sune); H. Flyger (Henrik); J. Benítez (Javier); M.P. Zamora (Pilar); J.I.A. Perez (Jose Ignacio Arias); P. Menéndez (Primitiva); H. Anton-Culver (Hoda); S.L. Neuhausen (Susan); H. Brenner (Hermann); A.K. Dieffenbach (Aida Karina); V. Arndt (Volker); C. Stegmaier (Christa); U. Hamann (Ute); H. Brauch (Hiltrud); C. Justenhoven (Christina); T. Brüning (Thomas); Y.-D. Ko (Yon-Dschun); H. Nevanlinna (Heli); K. Aittomäki (Kristiina); C. Blomqvist (Carl); S. Khan (Sofia); N.V. Bogdanova (Natalia); T. Dörk (Thilo); A. Lindblom (Annika); S. Margolin (Sara); A. Mannermaa (Arto); V. Kataja (Vesa); V-M. Kosma (Veli-Matti); J.M. Hartikainen (J.); G. Chenevix-Trench (Georgia); J. Beesley (Jonathan); D. Lambrechts (Diether); M. Moisse (Matthieu); O.A.M. Floris; B. Beuselinck (B.); J. Chang-Claude (Jenny); A. Rudolph (Anja); P. Seibold (Petra); D. Flesch-Janys (Dieter); P. Radice (Paolo); P. Peterlongo (Paolo); B. Peissel (Bernard); V. Pensotti (Valeria); F.J. Couch (Fergus); J.E. Olson (Janet); S. Slettedahl (Seth); C. Vachon (Celine); G.G. Giles (Graham G.); R.L. Milne (Roger L.); C.A. McLean (Catriona Ann); C.A. Haiman (Christopher); B.E. Henderson (Brian); F.R. Schumacher (Fredrick); L. Le Marchand (Loic); J. Simard (Jacques); M.S. Goldberg (Mark); F. Labrèche (France); M. Dumont (Martine); V. Kristensen (Vessela); G.G. Alnæs (Grethe); S. Nord (Silje); A.-L. Borresen-Dale (Anne-Lise); W. Zheng (Wei); S.L. Deming-Halverson (Sandra); M. Shrubsole (Martha); J. Long (Jirong); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); I.L. Andrulis (Irene); J.A. Knight (Julia); G. Glendon (Gord); S. Tchatchou (Sandrine); P. Devilee (Peter); R.A.E.M. Tollenaar (Robertus A. E. M.); C.M. Seynaeve (Caroline); C.J. van Asperen (Christi); M. García-Closas (Montserrat); J.D. Figueroa (Jonine); S.J. Chanock (Stephen); J. Lissowska (Jolanta); K. Czene (Kamila); H. Darabi (Hatef); M. Eriksson (Mikael); D. Klevebring (Daniel); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); C.H.M. van Deurzen (Carolien); M. Kriege (Mieke); P. Hall (Per); J. Li (Jingmei); J. Liu (Jianjun); M.K. Humphreys (Manjeet); A. Cox (Angela); S.S. Cross (Simon); M.W.R. Reed (Malcolm); P.D.P. Pharoah (Paul); A.M. Dunning (Alison); M. Shah (Mitul); B. Perkins (Barbara); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska-Bieniek (Katarzyna); K. Durda (Katarzyna); A. Ashworth (Alan); A.J. Swerdlow (Anthony ); M. Jones (Michael); M. Schoemaker (Minouk); A. Meindl (Alfons); R.K. Schmutzler (Rita); C. Olswold (Curtis); S. Slager (Susan); A.E. Toland (Amanda); D. Yannoukakos (Drakoulis); K.R. Muir (K.); A. Lophatananon (Artitaya); S. Stewart-Brown (Sarah); P. Siriwanarangsan (Pornthep); K. Matsuo (Keitaro); H. Ito (Hidema); H. Iwata (Hisato); J. Ishiguro (Junko); A.H. Wu (Anna H.); C.-C. Tseng (Chiu-chen); D. Van Den Berg (David); D.O. Stram (Daniel O.); S.-H. Teo (Soo-Hwang); C.H. Yip (Cheng Har); P. Kang (Peter); M.K. Ikram (Kamran); X.-O. Shu (Xiao-Ou); W. Lu (Wei); Y. Gao; H. Cai (Hui); D. Kang (Daehee); J.-Y. Choi (J.); S.K. Park (Sue); D-Y. Noh (Dong-Young); J.M. Hartman (Joost); X. Miao; W.-Y. Lim (Wei-Yen); S.C. Lee (Soo Chin); S. Sangrajrang (Suleeporn); V. Gaborieau (Valerie); P. Brennan (Paul); J.D. McKay (James); P.-E. Wu (Pei-Ei); M.-F. Hou (Ming-Feng); J-C. Yu (Jyh-Cherng); C-Y. Shen (Chen-Yang); W.J. Blot (William); Q. Cai (Qiuyin); L.B. Signorello (Lisa B.); C. Luccarini (Craig); C. Bayes (Caroline); S. Ahmed (Shahana); M. Maranian (Melanie); S. Healey (Sue); A. González-Neira (Anna); G. Pita (Guillermo); M. Rosario Alonso; N. Álvarez (Nuria); D. Herrero (Daniel); D.C. Tessier (Daniel C.); D. Vincent (Daniel); F. Bacot (Francois); D. Hunter (David); S. Lindstrom (Stephen); J. Dennis (Joe); K. Michailidou (Kyriaki); M.K. Bolla (Manjeet); D.F. Easton (Douglas); I. dos Santos Silva (Isabel); O. Fletcher (Olivia); J. Peto (Julian)

    2015-01-01

    textabstractWe recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and

  14. Genome-wide association study identifies novel breast cancer susceptibility loci

    NARCIS (Netherlands)

    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.; Le Marchand, Loic; 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.

    2007-01-01

    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

  15. Comprehensive assessment of rheumatoid arthritis susceptibility loci in a large psoriatic arthritis cohort.

    LENUS (Irish Health Repository)

    Bowes, John

    2012-08-01

    A number of rheumatoid arthritis (RA) susceptibility genes have been identified in recent years. Given the overlap in phenotypic expression of synovial joint inflammation between RA and psoriatic arthritis (PsA), the authors explored whether RA susceptibility genes are also associated with PsA.

  16. Further Evidence of Subphenotype Association with Systemic Lupus Erythematosus Susceptibility Loci: A European Cases Only Study

    Czech Academy of Sciences Publication Activity Database

    Alonso-Perez, E.; Suarez-Gestal, M.; Calaza, M.; Ordi-Ros, J.; Bijl, M.; Papasteriades, Ch.; Carreira, P.; Skopouli, F.N.; Witte, T.; Marchini, M.; Migliaresi, S.; Santos, M.J.; Růžičková, Šárka; Pullmann, R.; Sebastiani, G.D.; Suarez, A.; Blanco, F.J.

    2012-01-01

    Roč. 7, č. 9 (2012), e45356 E-ISSN 1932-6203 Institutional research plan: CEZ:AV0Z50520701 Keywords : GENOME-WIDE ASSOCIATION * GENETIC SUSCEPTIBILITY * DISEASE SUSCEPTIBILITY Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 3.730, year: 2012

  17. 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...

  18. 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

  19. Replication of genome wide association studies on hepatocellular carcinoma susceptibility loci in a Chinese population.

    Directory of Open Access Journals (Sweden)

    Kangmei Chen

    Full Text Available BACKGROUND: Genome-wide association studies (GWAS have identified three loci (rs17401966 in KIF1B, rs7574865 in STAT4, rs9275319 in HLA-DQ as being associated with hepatitis B virus-related hepatocellular carcinoma (HBV-related HCC in a Chinese population, two loci (rs2596542 in MICA, rs9275572 located between HLA-DQA and HLA-DQB with hepatitis C virus-related HCC (HCV-related HCC in a Japanese population. In the present study, we sought to determine whether these SNPs are predictive for HBV-related HCC development in other Chinese population as well. METHOD AND FINDINGS: We genotyped 4 SNPs, rs2596542, rs9275572, rs17401966, rs7574865, in 506 HBV-related HCC patients and 772 chronic hepatitis B (CHB patients in Han Chinese by TaqMan methods. Odds ratio(ORand 95% confidence interval (CI were calculated by logistic regression. In our case-control study, significant association between rs9275572 and HCC were observed (P = 0.02, OR = 0.73, 95% CI = 0.56-0.95. In the further haplotype analysis between rs2596542 at 6p21.33 and rs9275572 at 6p21.3, G-A showed a protective effect on HBV-related HCC occurrence (P<0.001, OR = 0.66, 95% CI = 0.52-0.84. CONCLUSION: These findings provided convincing evidence that rs9275572 significantly associated with HBV-related HCC.

  20. Replication of genome wide association studies on hepatocellular carcinoma susceptibility loci in a Chinese population.

    Science.gov (United States)

    Chen, Kangmei; Shi, Weimei; Xin, Zhenhui; Wang, Huifen; Zhu, Xilin; Wu, Xiaopan; Li, Zhuo; Li, Hui; Liu, Ying

    2013-01-01

    Genome-wide association studies (GWAS) have identified three loci (rs17401966 in KIF1B, rs7574865 in STAT4, rs9275319 in HLA-DQ) as being associated with hepatitis B virus-related hepatocellular carcinoma (HBV-related HCC) in a Chinese population, two loci (rs2596542 in MICA, rs9275572 located between HLA-DQA and HLA-DQB) with hepatitis C virus-related HCC (HCV-related HCC) in a Japanese population. In the present study, we sought to determine whether these SNPs are predictive for HBV-related HCC development in other Chinese population as well. We genotyped 4 SNPs, rs2596542, rs9275572, rs17401966, rs7574865, in 506 HBV-related HCC patients and 772 chronic hepatitis B (CHB) patients in Han Chinese by TaqMan methods. Odds ratio(OR)and 95% confidence interval (CI) were calculated by logistic regression. In our case-control study, significant association between rs9275572 and HCC were observed (P = 0.02, OR = 0.73, 95% CI = 0.56-0.95). In the further haplotype analysis between rs2596542 at 6p21.33 and rs9275572 at 6p21.3, G-A showed a protective effect on HBV-related HCC occurrence (P<0.001, OR = 0.66, 95% CI = 0.52-0.84). These findings provided convincing evidence that rs9275572 significantly associated with HBV-related HCC.

  1. 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

  2. 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....

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

    DEFF Research Database (Denmark)

    Eeles, Rosalind A; Olama, Ali Amin Al; Benlloch, Sara

    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 internationa...

  4. Shared activity patterns arising at genetic susceptibility loci reveal underlying genomic and cellular architecture of human disease

    DEFF Research Database (Denmark)

    Baillie, J. Kenneth; Bretherick, Andrew; Haley, Christopher S.

    2018-01-01

    Genetic variants underlying complex traits, including disease susceptibility, are enriched within the transcriptional regulatory elements, promoters and enhancers. There is emerging evidence that regulatory elements associated with particular traits or diseases share similar patterns of transcrip...

  5. Bayesian variable selection for post-analytic interrogation of susceptibility loci.

    Science.gov (United States)

    Chen, Siying; Nunez, Sara; Reilly, Muredach P; Foulkes, Andrea S

    2017-06-01

    Understanding the complex interplay among protein coding genes and regulatory elements requires rigorous interrogation with analytic tools designed for discerning the relative contributions of overlapping genomic regions. To this aim, we offer a novel application of Bayesian variable selection (BVS) for classifying genomic class level associations using existing large meta-analysis summary level resources. This approach is applied using the expectation maximization variable selection (EMVS) algorithm to typed and imputed SNPs across 502 protein coding genes (PCGs) and 220 long intergenic non-coding RNAs (lncRNAs) that overlap 45 known loci for coronary artery disease (CAD) using publicly available Global Lipids Gentics Consortium (GLGC) (Teslovich et al., 2010; Willer et al., 2013) meta-analysis summary statistics for low-density lipoprotein cholesterol (LDL-C). The analysis reveals 33 PCGs and three lncRNAs across 11 loci with >50% posterior probabilities for inclusion in an additive model of association. The findings are consistent with previous reports, while providing some new insight into the architecture of LDL-cholesterol to be investigated further. As genomic taxonomies continue to evolve, additional classes such as enhancer elements and splicing regions, can easily be layered into the proposed analysis framework. Moreover, application of this approach to alternative publicly available meta-analysis resources, or more generally as a post-analytic strategy to further interrogate regions that are identified through single point analysis, is straightforward. All coding examples are implemented in R version 3.2.1 and provided as supplemental material. © 2016, The International Biometric Society.

  6. Investigation of Caucasian rheumatoid arthritis susceptibility loci in African patients with the same disease

    Science.gov (United States)

    2012-01-01

    Introduction The largest genetic risk to develop rheumatoid arthritis (RA) arises from a group of alleles of the HLA DRB1 locus ('shared epitope', SE). Over 30 non-HLA single nucleotide polymorphisms (SNPs) predisposing to disease have been identified in Caucasians, but they have never been investigated in West/Central Africa. We previously reported a lower prevalence of the SE in RA patients in Cameroon compared to European patients and aimed in the present study to investigate the contribution of Caucasian non-HLA RA SNPs to disease susceptibility in Black Africans. Methods RA cases and controls from Cameroon were genotyped for Caucasian RA susceptibility SNPs using Sequenom MassArray technology. Genotype data were also available for 5024 UK cases and 4281 UK controls and for 119 Yoruba individuals in Ibadan, Nigeria (YRI, HapMap). A Caucasian aggregate genetic-risk score (GRS) was calculated as the sum of the weighted risk-allele counts. Results After genotyping quality control procedures were performed, data on 28 Caucasian non-HLA susceptibility SNPs were available in 43 Cameroonian RA cases and 44 controls. The minor allele frequencies (MAF) were tightly correlated between Cameroonian controls and YRI individuals (correlation coefficient 93.8%, p = 1.7E-13), and they were pooled together. There was no correlation between MAF of UK and African controls; 13 markers differed by more than 20%. The MAF for markers at PTPN22, IL2RA, FCGR2A and IL2/IL21 was below 2% in Africans. The GRS showed a strong association with RA in the UK. However, the GRS did not predict RA in Africans (OR = 0.71, 95% CI 0.29 - 1.74, p = 0.456). Random sampling from the UK cohort showed that this difference in association is unlikely to be explained by small sample size or chance, but is statistically significant with p<0.001. Conclusions The MAFs of non-HLA Caucasian RA susceptibility SNPs are different between Caucasians and Africans, and several polymorphisms are barely detectable in

  7. 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

  8. Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics.

    Directory of Open Access Journals (Sweden)

    Montserrat Garcia-Closas

    2008-04-01

    Full Text Available 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 associated with breast cancer risk. We investigated whether the associations between these SNPs and breast cancer risk varied by clinically important tumor characteristics in up to 23,039 invasive breast cancer cases and 26,273 controls from 20 studies. We also evaluated their influence on overall survival in 13,527 cases from 13 studies. All participants were of European or Asian origin. rs2981582 in FGFR2 was more strongly related to ER-positive (per-allele OR (95%CI = 1.31 (1.27-1.36 than ER-negative (1.08 (1.03-1.14 disease (P for heterogeneity = 10(-13. This SNP was also more strongly related to PR-positive, low grade and node positive tumors (P = 10(-5, 10(-8, 0.013, respectively. The association for rs13281615 in 8q24 was stronger for ER-positive, PR-positive, and low grade tumors (P = 0.001, 0.011 and 10(-4, respectively. The differences in the associations between SNPs in FGFR2 and 8q24 and risk by ER and grade remained significant after permutation adjustment for multiple comparisons and after adjustment for other tumor characteristics. Three SNPs (rs2981582, rs3803662, and rs889312 showed weak but significant associations with ER-negative disease, the strongest association being for rs3803662 in TNRC9 (1.14 (1.09-1.21. rs13281615 in 8q24 was associated with an improvement in survival after diagnosis (per-allele HR = 0.90 (0.83-0.97. The association was attenuated and non-significant after adjusting for known prognostic factors. Our findings show that common genetic variants influence the pathological subtype of breast cancer and provide further support for the hypothesis that ER-positive and ER-negative disease are biologically distinct. Understanding

  9. Genome-wide association analysis reveals putative Alzheimer's disease susceptibility loci in addition to APOE.

    Science.gov (United States)

    Bertram, Lars; Lange, Christoph; Mullin, Kristina; Parkinson, Michele; Hsiao, Monica; Hogan, Meghan F; Schjeide, Brit M M; Hooli, Basavaraj; Divito, Jason; Ionita, Iuliana; Jiang, Hongyu; Laird, Nan; Moscarillo, Thomas; Ohlsen, Kari L; Elliott, Kathryn; Wang, Xin; Hu-Lince, Diane; Ryder, Marie; Murphy, Amy; Wagner, Steven L; Blacker, Deborah; Becker, K David; Tanzi, Rudolph E

    2008-11-01

    Alzheimer's disease (AD) is a genetically complex and heterogeneous disorder. To date four genes have been established to either cause early-onset autosomal-dominant AD (APP, PSEN1, and PSEN2(1-4)) or to increase susceptibility for late-onset AD (APOE5). However, the heritability of late-onset AD is as high as 80%, (6) and much of the phenotypic variance remains unexplained to date. We performed a genome-wide association (GWA) analysis using 484,522 single-nucleotide polymorphisms (SNPs) on a large (1,376 samples from 410 families) sample of AD families of self-reported European descent. We identified five SNPs showing either significant or marginally significant genome-wide association with a multivariate phenotype combining affection status and onset age. One of these signals (p = 5.7 x 10(-14)) was elicited by SNP rs4420638 and probably reflects APOE-epsilon4, which maps 11 kb proximal (r2 = 0.78). The other four signals were tested in three additional independent AD family samples composed of nearly 2700 individuals from almost 900 families. Two of these SNPs showed significant association in the replication samples (combined p values 0.007 and 0.00002). The SNP (rs11159647, on chromosome 14q31) with the strongest association signal also showed evidence of association with the same allele in GWA data generated in an independent sample of approximately 1,400 AD cases and controls (p = 0.04). Although the precise identity of the underlying locus(i) remains elusive, our study provides compelling evidence for the existence of at least one previously undescribed AD gene that, like APOE-epsilon4, primarily acts as a modifier of onset age.

  10. New susceptibility loci associated with kidney disease in type 1 diabetes.

    Directory of Open Access Journals (Sweden)

    Niina Sandholm

    2012-09-01

    Full Text Available Diabetic kidney disease, or diabetic nephropathy (DN, is a major complication of diabetes and the leading cause of end-stage renal disease (ESRD that requires dialysis treatment or kidney transplantation. In addition to the decrease in the quality of life, DN accounts for a large proportion of the excess mortality associated with type 1 diabetes (T1D. Whereas the degree of glycemia plays a pivotal role in DN, a subset of individuals with poorly controlled T1D do not develop DN. Furthermore, strong familial aggregation supports genetic susceptibility to DN. However, the genes and the molecular mechanisms behind the disease remain poorly understood, and current therapeutic strategies rarely result in reversal of DN. In the GEnetics of Nephropathy: an International Effort (GENIE consortium, we have undertaken a meta-analysis of genome-wide association studies (GWAS of T1D DN comprising ~2.4 million single nucleotide polymorphisms (SNPs imputed in 6,691 individuals. After additional genotyping of 41 top ranked SNPs representing 24 independent signals in 5,873 individuals, combined meta-analysis revealed association of two SNPs with ESRD: rs7583877 in the AFF3 gene (P = 1.2 × 10(-8 and an intergenic SNP on chromosome 15q26 between the genes RGMA and MCTP2, rs12437854 (P = 2.0 × 10(-9. Functional data suggest that AFF3 influences renal tubule fibrosis via the transforming growth factor-beta (TGF-β1 pathway. The strongest association with DN as a primary phenotype was seen for an intronic SNP in the ERBB4 gene (rs7588550, P = 2.1 × 10(-7, a gene with type 2 diabetes DN differential expression and in the same intron as a variant with cis-eQTL expression of ERBB4. All these detected associations represent new signals in the pathogenesis of DN.

  11. Identification of germline susceptibility loci in ETV6-RUNX1-rearranged childhood acute lymphoblastic leukemia

    Science.gov (United States)

    Ellinghaus, E; Stanulla, M; Richter, G; Ellinghaus, D; te Kronnie, G; Cario, G; Cazzaniga, G; Horstmann, M; Panzer Grümayer, R; Cavé, H; Trka, J; Cinek, O; Teigler-Schlegel, A; ElSharawy, A; Häsler, R; Nebel, A; Meissner, B; Bartram, T; Lescai, F; Franceschi, C; Giordan, M; Nürnberg, P; Heinzow, B; Zimmermann, M; Schreiber, S; Schrappe, M; Franke, A

    2012-01-01

    Acute lymphoblastic leukemia (ALL) is a malignant disease of the white blood cells. The etiology of ALL is believed to be multifactorial and likely to involve an interplay of environmental and genetic variables. We performed a genome-wide association study of 355 750 single-nucleotide polymorphisms (SNPs) in 474 controls and 419 childhood ALL cases characterized by a t(12;21)(p13;q22) — the most common chromosomal translocation observed in childhood ALL — which leads to an ETV6–RUNX1 gene fusion. The eight most strongly associated SNPs were followed-up in 951 ETV6-RUNX1-positive cases and 3061 controls from Germany/Austria and Italy, respectively. We identified a novel, genome-wide significant risk locus at 3q28 (TP63, rs17505102, PCMH=8.94 × 10−9, OR=0.65). The separate analysis of the combined German/Austrian sample only, revealed additional genome-wide significant associations at 11q11 (OR8U8, rs1945213, P=9.14 × 10−11, OR=0.69) and 8p21.3 (near INTS10, rs920590, P=6.12 × 10−9, OR=1.36). These associations and another association at 11p11.2 (PTPRJ, rs3942852, P=4.95 × 10−7, OR=0.72) remained significant in the German/Austrian replication panel after correction for multiple testing. Our findings demonstrate that germline genetic variation can specifically contribute to the risk of ETV6–RUNX1-positive childhood ALL. The identification of TP63 and PTPRJ as susceptibility genes emphasize the role of the TP53 gene family and the importance of proteins regulating cellular processes in connection with tumorigenesis. PMID:22076464

  12. Murine Lupus Susceptibility Locus Sle2 Activates DNA-Reactive B Cells through Two Sub-Loci with Distinct Phenotypes

    Science.gov (United States)

    Zeumer, Leilani; Sang, Allison; Niu, Haitao; Morel, Laurence

    2010-01-01

    The NZM2410-derived Sle2 lupus susceptibility locus induces an abnormal B cell differentiation which most prominently leads to the expansion of autoreactive B1a cells. We have mapped the expansion of B1a cells to three Sle2 sub-loci, Sle2a, Sle2b, and Sle2c. Sle2 also enhances the breach of B cell tolerance to nuclear antigens in the 56R anti-DNA immunoglobulin transgenic (Tg) model. This study used the Sle2 sub-congenic strains to map the activation of 56R Tg B cells. Sle2c strongly sustained the breach of tolerance and the activation of anti-DNA B cells. The production of Tg-encoded anti-DNA antibodies was more modest in Sle2a expressing mice, but Sle2a was responsible for the recruitment for Tg B cells to the marginal zone, a phenotype that has been found for 56R Tg B cells in mice expressing the whole Sle2 interval. In addition, Sle2a promoted the production of endogenously encoded anti-DNA antibodies. Overall, this study showed that at least two Sle2 genes are involved in the activation of anti-DNA B cells, and excluded more than two-thirds of the Sle2 interval from contributing to this phenotype. This constitutes an important step toward the identification of novel genes that play a critical role in B cell tolerance. PMID:21270826

  13. Shared susceptibility loci at 2q33 region for lung and esophageal cancers in high-incidence areas of esophageal cancer in northern China.

    Directory of Open Access Journals (Sweden)

    Xue Ke Zhao

    Full Text Available Cancers from lung and esophagus are the leading causes of cancer-related deaths in China and share many similarities in terms of histological type, risk factors and genetic variants. Recent genome-wide association studies (GWAS in Chinese esophageal cancer patients have demonstrated six high-risk candidate single nucleotide polymorphisms (SNPs. Thus, the present study aimed to determine the risk of these SNPs predisposing to lung cancer in Chinese population.A total of 1170 lung cancer patients and 1530 normal subjects were enrolled in this study from high-incidence areas for esophageal cancer in Henan, northern China. Five milliliters of blood were collected from all subjects for genotyping. Genotyping of 20 high-risk SNP loci identified from genome-wide association studies (GWAS on esophageal, lung and gastric cancers was performed using TaqMan allelic discrimination assays. Polymorphisms were examined for deviation from Hardy-Weinberg equilibrium (HWE using Х2 test. Bonferroni correction was performed to correct the statistical significance of 20 SNPs with the risk of lung cancer. The Pearson's Х2 test was used to compare the distributions of gender, TNM stage, histopathological type, smoking and family history by lung susceptibility genotypes. Kaplan-Meier and Cox regression analyses were carried out to evaluate the associations between genetic variants and overall survival.Four of the 20 SNPs identified as high-risk SNPs in Chinese esophageal cancer showed increased risk for Chinese lung cancer, which included rs3769823 (OR = 1.26; 95% CI = 1.107-1.509; P = 0.02, rs10931936 (OR = 1.283; 95% CI = 1.100-1.495; P = 0.04, rs2244438 (OR = 1.294; 95% CI = 1.098-1.525; P = 0.04 and rs13016963 (OR = 1.268; 95% CI = 1.089-1.447; P = 0.04. All these SNPs were located at 2q33 region harboringgenes of CASP8, ALS2CR12 and TRAK2. However, none of these susceptibility SNPs was observed to be significantly associated with gender, TNM stage

  14. Shared susceptibility loci at 2q33 region for lung and esophageal cancers in high-incidence areas of esophageal cancer in northern China.

    Science.gov (United States)

    Zhao, Xue Ke; Mao, Yi Min; Meng, Hui; Song, Xin; Hu, Shou Jia; Lv, Shuang; Cheng, Rang; Zhang, Tang Juan; Han, Xue Na; Ren, Jing Li; Qi, Yi Jun; Wang, Li Dong

    2017-01-01

    Cancers from lung and esophagus are the leading causes of cancer-related deaths in China and share many similarities in terms of histological type, risk factors and genetic variants. Recent genome-wide association studies (GWAS) in Chinese esophageal cancer patients have demonstrated six high-risk candidate single nucleotide polymorphisms (SNPs). Thus, the present study aimed to determine the risk of these SNPs predisposing to lung cancer in Chinese population. A total of 1170 lung cancer patients and 1530 normal subjects were enrolled in this study from high-incidence areas for esophageal cancer in Henan, northern China. Five milliliters of blood were collected from all subjects for genotyping. Genotyping of 20 high-risk SNP loci identified from genome-wide association studies (GWAS) on esophageal, lung and gastric cancers was performed using TaqMan allelic discrimination assays. Polymorphisms were examined for deviation from Hardy-Weinberg equilibrium (HWE) using Х2 test. Bonferroni correction was performed to correct the statistical significance of 20 SNPs with the risk of lung cancer. The Pearson's Х2 test was used to compare the distributions of gender, TNM stage, histopathological type, smoking and family history by lung susceptibility genotypes. Kaplan-Meier and Cox regression analyses were carried out to evaluate the associations between genetic variants and overall survival. Four of the 20 SNPs identified as high-risk SNPs in Chinese esophageal cancer showed increased risk for Chinese lung cancer, which included rs3769823 (OR = 1.26; 95% CI = 1.107-1.509; P = 0.02), rs10931936 (OR = 1.283; 95% CI = 1.100-1.495; P = 0.04), rs2244438 (OR = 1.294; 95% CI = 1.098-1.525; P = 0.04) and rs13016963 (OR = 1.268; 95% CI = 1.089-1.447; P = 0.04). All these SNPs were located at 2q33 region harboringgenes of CASP8, ALS2CR12 and TRAK2. However, none of these susceptibility SNPs was observed to be significantly associated with gender, TNM stage, histopathological type

  15. 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

  16. Genome-wide analyses implicate 33 loci in heritable dog osteosarcoma, including regulatory variants near CDKN2A/B

    Science.gov (United States)

    2013-01-01

    Background Canine osteosarcoma is clinically nearly identical to the human disease, but is common and highly heritable, making genetic dissection feasible. Results Through genome-wide association analyses in three breeds (greyhounds, Rottweilers, and Irish wolfhounds), we identify 33 inherited risk loci explaining 55% to 85% of phenotype variance in each breed. The greyhound locus exhibiting the strongest association, located 150 kilobases upstream of the genes CDKN2A/B, is also the most rearranged locus in canine osteosarcoma tumors. The top germline candidate variant is found at a >90% frequency in Rottweilers and Irish wolfhounds, and alters an evolutionarily constrained element that we show has strong enhancer activity in human osteosarcoma cells. In all three breeds, osteosarcoma-associated loci and regions of reduced heterozygosity are enriched for genes in pathways connected to bone differentiation and growth. Several pathways, including one of genes regulated by miR124, are also enriched for somatic copy-number changes in tumors. Conclusions Mapping a complex cancer in multiple dog breeds reveals a polygenic spectrum of germline risk factors pointing to specific pathways as drivers of disease. PMID:24330828

  17. GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk

    NARCIS (Netherlands)

    Pirastu, Nicola; Joshi, Peter K.; de Vries, Paul S.; Cornelis, Marilyn C.; McKeigue, Paul M.; Keum, NaNa; Franceschini, Nora; Colombo, Marco; Giovannucci, Edward L.; Spiliopoulou, Athina; Franke, Lude; North, Kari E.; Kraft, Peter; Morrison, Alanna C.; Esko, Tonu; Wilson, James F.

    2017-01-01

    Male pattern baldness (MPB) or androgenetic alopecia is one of the most common conditions affecting men, reaching a prevalence of similar to 50% by the age of 50; however, the known genes explain little of the heritability. Here, we present the results of a genome-wide association study including

  18. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    DEFF Research Database (Denmark)

    Anttila, Verneri; Winsvold, Bendik S; Gormley, Padhraig

    2013-01-01

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) an...

  19. Meta-analysis identifies six new susceptibility loci for atrial fibrillation

    NARCIS (Netherlands)

    Ellinor, Patrick T; Lunetta, Kathryn L; Albert, Christine M; Glazer, Nicole L; Ritchie, Marylyn D; Smith, Albert V; Arking, Dan E; Müller-Nurasyid, Martina; Krijthe, Bouwe P; Lubitz, Steven A; Bis, Joshua C; Chung, Mina K; Dörr, Marcus; Ozaki, Kouichi; Roberts, Jason D; Smith, J Gustav; Pfeufer, Arne; Sinner, Moritz F; Lohman, Kurt; Ding, Jingzhong; Smith, Nicholas L; Smith, Jonathan D; Rienstra, Michiel; Rice, Kenneth M; Van Wagoner, David R; Magnani, Jared W; Wakili, Reza; Clauss, Sebastian; Rotter, Jerome I; Steinbeck, Gerhard; Launer, Lenore J; Davies, Robert W; Borkovich, Matthew; Harris, Tamara B; Lin, Honghuang; Völker, Uwe; Völzke, Henry; Milan, David J; Hofman, Albert; Boerwinkle, Eric; Chen, Lin Y; Soliman, Elsayed Z; Voight, Benjamin F; Li, Guo; Chakravarti, Aravinda; Kubo, Michiaki; Tedrow, Usha B; Rose, Lynda M; Ridker, Paul M; Conen, David; Tsunoda, Tatsuhiko; Furukawa, Tetsushi; Sotoodehnia, Nona; Xu, Siyan; Kamatani, Naoyuki; Levy, Daniel; Nakamura, Yusuke; Parvez, Babar; Mahida, Saagar; Furie, Karen L; Rosand, Jonathan; Muhammad, Raafia; Psaty, Bruce M; Meitinger, Thomas; Perz, Siegfried; Wichmann, H-Erich; Witteman, Jacqueline C M; Kao, W H Linda; Kathiresan, Sekar; Roden, Dan M; Uitterlinden, Andre G; Rivadeneira, Fernando; McKnight, Barbara; Sjögren, Marketa; Newman, Anne B; Liu, Yongmei; Gollob, Michael H; Melander, Olle; Tanaka, Toshihiro; Stricker, Bruno H Ch; Felix, Stephan B; Alonso, Alvaro; Darbar, Dawood; Barnard, John; Chasman, Daniel I; Heckbert, Susan R; Benjamin, Emelia J; Gudnason, Vilmundur; Kääb, Stefan

    Atrial fibrillation is a highly prevalent arrhythmia and a major risk factor for stroke, heart failure and death. We conducted a genome-wide association study (GWAS) in individuals of European ancestry, including 6,707 with and 52,426 without atrial fibrillation. Six new atrial fibrillation

  20. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    NARCIS (Netherlands)

    Anttila, Verneri; Winsvold, Bendik S.; Gormley, Padhraig; Kurth, Tobias; Bettella, Francesco; McMahon, George; Kallela, Mikko; Malik, Rainer; de Vries, Boukje; Terwindt, Gisela; Medland, Sarah E.; Todt, Unda; McArdle, Wendy L.; Quaye, Lydia; Koiranen, Markku; Ikram, M. Arfan; Lehtimaki, Terho; Stam, Anine H.; Ligthart, Lannie; Wedenoja, Juho; Dunham, Ian; Neale, Benjamin M.; Palta, Priit; Hamalainen, Eija; Schuerks, Markus; Rose, Lynda M.; Buring, Julie E.; Ridker, Paul M.; Steinberg, Stacy; Stefansson, Hreinn; Jakobsson, Finnbogi; Lawlor, Debbie A.; Evans, David M.; Ring, Susan M.; Farkkila, Markus; Artto, Ville; Kaunisto, Mari A.; Freilinger, Tobias; Schoenen, Jean; Frants, Rune R.; Pelzer, Nadine; Weller, Claudia M.; Zielman, Ronald; Heath, Andrew C.; Madden, Pamela A. F.; Montgomery, Grant W.; Martin, Nicholas G.; Borck, Guntram; Goebel, Hartmut; Heinze, Axel

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) and

  1. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    NARCIS (Netherlands)

    Anttila, V.; Winsvold, B.S.; Gormley, P.; Kurth, T.; Bettella, F.; McMahon, G.; Kallela, M.; Malik, R.; de Vries, B.; Terwindt, G.; Medland, S.E.; Todt, U.; McArdle, W.L.; Quaye, L.; Koiranen, M.; Ikram, M.A.; Lehtimäki, T.; Stam, A.H.; Ligthart, R.S.L.; Wedenoja, J.; Dunham, I.; Neale, B. M.; Palta, P.; Hamalainen, E.; Schürks, M.; Rose, L.M.; Buring, J.E.; Ridker, P.M.; Steinberg, S.; Stefansson, H.; Jakobsson, F.; Lawlor, D.A.; Evans, D.M.; Ring, S.M.; Färkkilä, M.; Artto, V.; Kaunisto, M.A.; Freilinger, T.; Schoenen, J.; Frants, R.R.; Pelzer, N.; Weller, C.M.; Zielman, R.; Heath, A.C.; Madden, P.A.F.; Montgomery, G.W.; Martin, N.G.; Borck, G.; Göbel, H.; Heinze, A.; Heinze-Kuhn, K.; Williams, F.M.; Hartikainen, A.-L.; Pouta, A.; van den Ende, J..; Uitterlinden, A.G.; Hofman, A.; Amin, N.; Hottenga, J.J.; Vink, J.M.; Heikkilä, K.; Alexander, M.; Muller-Myhsok, B.; Schreiber, S; Meitinger, T.; Wichmann, H. E.; Aromaa, A.; Eriksson, J.G.; Traynor, B.J.; Trabzuni, D.; Rossin, E.; Lage, K.; Jacobs, S.B.; Gibbs, J.R.; Birney, E.; Kaprio, J.; Penninx, B.W.J.H.; Boomsma, D.I.; van Duijn, C.M.; Raitakari, O.; Jarvelin, M.-R.; Zwart, J.A.; Cherkas, L.; Strachan, D.P.; Kubisch, C.; Ferrari, M.D.; van den Maagdenberg, A.M.J.M.; Dichgans, M.; Wessman, M.; Smith, G.D.; Stefansson, K.; Daly, M.J.; Nyholt, DR; Chasman, D.I.; Palotie, A.

    2013-01-01

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) and

  2. Multiple common susceptibility variants near BMP pathway loci GREM1, BMP4, and BMP2 explain part of the missing heritability of colorectal cancer.

    Directory of Open Access Journals (Sweden)

    Ian P M Tomlinson

    2011-06-01

    Full Text Available Genome-wide association studies (GWAS have identified 14 tagging single nucleotide polymorphisms (tagSNPs that are associated with the risk of colorectal cancer (CRC, and several of these tagSNPs are near bone morphogenetic protein (BMP pathway loci. The penalty of multiple testing implicit in GWAS increases the attraction of complementary approaches for disease gene discovery, including candidate gene- or pathway-based analyses. The strongest candidate loci for additional predisposition SNPs are arguably those already known both to have functional relevance and to be involved in disease risk. To investigate this proposition, we searched for novel CRC susceptibility variants close to the BMP pathway genes GREM1 (15q13.3, BMP4 (14q22.2, and BMP2 (20p12.3 using sample sets totalling 24,910 CRC cases and 26,275 controls. We identified new, independent CRC predisposition SNPs close to BMP4 (rs1957636, P = 3.93×10(-10 and BMP2 (rs4813802, P = 4.65×10(-11. Near GREM1, we found using fine-mapping that the previously-identified association between tagSNP rs4779584 and CRC actually resulted from two independent signals represented by rs16969681 (P = 5.33×10(-8 and rs11632715 (P = 2.30×10(-10. As low-penetrance predisposition variants become harder to identify-owing to small effect sizes and/or low risk allele frequencies-approaches based on informed candidate gene selection may become increasingly attractive. Our data emphasise that genetic fine-mapping studies can deconvolute associations that have arisen owing to independent correlation of a tagSNP with more than one functional SNP, thus explaining some of the apparently missing heritability of common diseases.

  3. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    OpenAIRE

    Voight, Benjamin; Scott, Laura; Steinthorsdottir, Valgerdur; Morris, Andrew; Dina, Christian; Welch, Ryan; Zeggini, Eleftheria; Huth, Cornelia; Aulchenko, Yurii; Thorleifsson, Gudmar; McCulloch, Laura; Ferreira, Teresa; Grallert, Harald; Amin, Najaf; Wu, Guanming

    2010-01-01

    textabstractBy combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combined P 5 × 10 8. These include a second independent signal at the KCNQ1 locus; the first report, to our knowledge, of an X-chromosomal association (near DUSP9); and a further instance of ov...

  4. 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

  5. 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

  6. A 1,681-locus consensus genetic map of cultivated cucumber including 67 NB-LRR resistance gene homolog and ten gene loci.

    Science.gov (United States)

    Yang, Luming; Li, Dawei; Li, Yuhong; Gu, Xingfang; Huang, Sanwen; Garcia-Mas, Jordi; Weng, Yiqun

    2013-03-25

    Cucumber is an important vegetable crop that is susceptible to many pathogens, but no disease resistance (R) genes have been cloned. The availability of whole genome sequences provides an excellent opportunity for systematic identification and characterization of the nucleotide binding and leucine-rich repeat (NB-LRR) type R gene homolog (RGH) sequences in the genome. Cucumber has a very narrow genetic base making it difficult to construct high-density genetic maps. Development of a consensus map by synthesizing information from multiple segregating populations is a method of choice to increase marker density. As such, the objectives of the present study were to identify and characterize NB-LRR type RGHs, and to develop a high-density, integrated cucumber genetic-physical map anchored with RGH loci. From the Gy14 draft genome, 70 NB-containing RGHs were identified and characterized. Most RGHs were in clusters with uneven distribution across seven chromosomes. In silico analysis indicated that all 70 RGHs had EST support for gene expression. Phylogenetic analysis classified 58 RGHs into two clades: CNL and TNL. Comparative analysis revealed high-degree sequence homology and synteny in chromosomal locations of these RGH members between the cucumber and melon genomes. Fifty-four molecular markers were developed to delimit 67 of the 70 RGHs, which were integrated into a genetic map through linkage analysis. A 1,681-locus cucumber consensus map including 10 gene loci and spanning 730.0 cM in seven linkage groups was developed by integrating three component maps with a bin-mapping strategy. Physically, 308 scaffolds with 193.2 Mbp total DNA sequences were anchored onto this consensus map that covered 52.6% of the 367 Mbp cucumber genome. Cucumber contains relatively few NB-LRR RGHs that are clustered and unevenly distributed in the genome. All RGHs seem to be transcribed and shared significant sequence homology and synteny with the melon genome suggesting conservation of

  7. Identification of novel susceptibility Loci for kawasaki disease in a Han chinese population by a genome-wide association study.

    Directory of Open Access Journals (Sweden)

    Fuu-Jen Tsai

    Full Text Available Kawasaki disease (KD is an acute systemic vasculitis syndrome that primarily affects infants and young children. Its etiology is unknown; however, epidemiological findings suggest that genetic predisposition underlies disease susceptibility. Taiwan has the third-highest incidence of KD in the world, after Japan and Korea. To investigate novel mechanisms that might predispose individuals to KD, we conducted a genome-wide association study (GWAS in 250 KD patients and 446 controls in a Han Chinese population residing in Taiwan, and further validated our findings in an independent Han Chinese cohort of 208 cases and 366 controls. The most strongly associated single-nucleotide polymorphisms (SNPs detected in the joint analysis corresponded to three novel loci. Among these KD-associated SNPs three were close to the COPB2 (coatomer protein complex beta-2 subunit gene: rs1873668 (p = 9.52×10⁻⁵, rs4243399 (p = 9.93×10⁻⁵, and rs16849083 (p = 9.93×10⁻⁵. We also identified a SNP in the intronic region of the ERAP1 (endoplasmic reticulum amino peptidase 1 gene (rs149481, p(best = 4.61×10⁻⁵. Six SNPs (rs17113284, rs8005468, rs10129255, rs2007467, rs10150241, and rs12590667 clustered in an area containing immunoglobulin heavy chain variable regions genes, with p(best-values between 2.08×10⁻⁵ and 8.93×10⁻⁶, were also identified. This is the first KD GWAS performed in a Han Chinese population. The novel KD candidates we identified have been implicated in T cell receptor signaling, regulation of proinflammatory cytokines, as well as antibody-mediated immune responses. These findings may lead to a better understanding of the underlying molecular pathogenesis of KD.

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

    Directory of Open Access Journals (Sweden)

    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

  9. 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.

  10. Shared activity patterns arising at genetic susceptibility loci reveal underlying genomic and cellular architecture of human disease

    DEFF Research Database (Denmark)

    Baillie, J Kenneth; Bretherick, Andrew; Haley, Christopher S

    2018-01-01

    Genetic variants underlying complex traits, including disease susceptibility, are enriched within the transcriptional regulatory elements, promoters and enhancers. There is emerging evidence that regulatory elements associated with particular traits or diseases share similar patterns...... the regulation of the OCT1 cation transporter and genetic variants underlying circulating cholesterol levels. NDA strongly implicates particular cell types and tissues in disease pathogenesis. For example, distinct groupings of disease-associated regulatory regions implicate two distinct biological processes...... in the pathogenesis of ulcerative colitis; a further two separate processes are implicated in Crohn's disease. Thus, our functional analysis of genetic predisposition to disease defines new distinct disease endotypes. We predict that patients with a preponderance of susceptibility variants in each group are likely...

  11. The combination of two Sle2 lupus-susceptibility loci and Cdkn2c deficiency leads to T cell-mediated pathology in B6.Faslpr mice

    Science.gov (United States)

    Xu, Zhiwei; Croker, Byron P.; Morel, Laurence

    2013-01-01

    The NZM2410 Sle2c1 lupus susceptibility locus is responsible for the expansion of the B1a cell compartment and for the induction of T-cell induced renal and skin pathology on a CD95 deficient (Faslpr)-background. We have previously shown that deficiency in cyclin-dependent kinase inhibitor p18INK4c (p18) was responsible for the B1a cell expansion but was not sufficient to account for the pathology in B6.lpr mice. This study was designed to map the additional Sle2c1 loci responsible for autoimmune pathology when co-expressed with CD95 deficiency. The production, fine-mapping and phenotypic characterization of five recombinant intervals indicated that three interacting sub-loci were responsive for inducting autoimmune pathogenesis in B6.lpr mice. One of these sub-loci corresponds most likely to p18-deficiency. Another major locus mapping to a 2 Mb region at the telomeric end of Sle2c1 is necessary to both renal and skin pathology. Finally, a third locus centromeric to p18 enhances the severity of lupus nephritis. These results provide new insights into the genetic interactions leading to SLE disease presentation, and represent a major step towards the identification of novel susceptibility genes involved in T-cell mediated organ damage. PMID:23698709

  12. A genome-wide association study in chronic obstructive pulmonary disease (COPD: identification of two major susceptibility loci.

    Directory of Open Access Journals (Sweden)

    Sreekumar G Pillai

    2009-03-01

    Full Text Available There is considerable variability in the susceptibility of smokers to develop chronic obstructive pulmonary disease (COPD. The only known genetic risk factor is severe deficiency of alpha(1-antitrypsin, which is present in 1-2% of individuals with COPD. We conducted a genome-wide association study (GWAS in a homogenous case-control cohort from Bergen, Norway (823 COPD cases and 810 smoking controls and evaluated the top 100 single nucleotide polymorphisms (SNPs in the family-based International COPD Genetics Network (ICGN; 1891 Caucasian individuals from 606 pedigrees study. The polymorphisms that showed replication were further evaluated in 389 subjects from the US National Emphysema Treatment Trial (NETT and 472 controls from the Normative Aging Study (NAS and then in a fourth cohort of 949 individuals from 127 extended pedigrees from the Boston Early-Onset COPD population. Logistic regression models with adjustments of covariates were used to analyze the case-control populations. Family-based association analyses were conducted for a diagnosis of COPD and lung function in the family populations. Two SNPs at the alpha-nicotinic acetylcholine receptor (CHRNA 3/5 locus were identified in the genome-wide association study. They showed unambiguous replication in the ICGN family-based analysis and in the NETT case-control analysis with combined p-values of 1.48 x 10(-10, (rs8034191 and 5.74 x 10(-10 (rs1051730. Furthermore, these SNPs were significantly associated with lung function in both the ICGN and Boston Early-Onset COPD populations. The C allele of the rs8034191 SNP was estimated to have a population attributable risk for COPD of 12.2%. The association of hedgehog interacting protein (HHIP locus on chromosome 4 was also consistently replicated, but did not reach genome-wide significance levels. Genome-wide significant association of the HHIP locus with lung function was identified in the Framingham Heart study (Wilk et al., companion article

  13. Evidence of gene-environment interactions between common breast cancer susceptibility loci and established environmental risk factors.

    Directory of Open Access Journals (Sweden)

    Stefan Nickels

    Full Text Available 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. Data from 24 studies of the Breast Cancer Association Consortium were pooled. Using up to 34,793 invasive breast cancers and 41,099 controls, we examined whether the relative risks associated with 23 single nucleotide polymorphisms were modified by 10 established environmental risk factors (age at menarche, parity, breastfeeding, body mass index, height, oral contraceptive use, menopausal hormone therapy use, alcohol consumption, cigarette smoking, physical activity in women of European ancestry. We used logistic regression models stratified by study and adjusted for age and performed likelihood ratio tests to assess gene-environment interactions. All statistical tests were two-sided. We replicated previously reported potential interactions between LSP1-rs3817198 and parity (Pinteraction = 2.4 × 10(-6 and between CASP8-rs17468277 and alcohol consumption (Pinteraction = 3.1 × 10(-4. Overall, the per-allele odds ratio (95% confidence interval for LSP1-rs3817198 was 1.08 (1.01-1.16 in nulliparous women and ranged from 1.03 (0.96-1.10 in parous women with one birth to 1.26 (1.16-1.37 in women with at least four births. For CASP8-rs17468277, the per-allele OR was 0.91 (0.85-0.98 in those with an alcohol intake of <20 g/day and 1.45 (1.14-1.85 in those who drank ≥ 20 g/day. Additionally, interaction was found between 1p11.2-rs11249433 and ever being parous (Pinteraction = 5.3 × 10(-5, with a per-allele OR of 1.14 (1.11-1.17 in parous women and 0.98 (0.92-1.05 in nulliparous women. These data provide first strong evidence that the risk of breast cancer associated with some common genetic variants may vary with environmental risk factors.

  14. Novel loci controlling lymphocyte proliferative response to cytokines and their clustering with loci controlling autoimmune reactions, macrophage function and lung tumor susceptibility

    Czech Academy of Sciences Publication Activity Database

    Lipoldová, Marie; Havelková, Helena; Badalová, Jana; Demant, P.

    2005-01-01

    Roč. 114, č. 3 (2005), s. 394-399 ISSN 0020-7136 R&D Projects: GA ČR(CZ) GA310/03/1381 Grant - others:European Commission(XE) CIPA-CT940040; Howard Hughes Medical Institute(US) 55000323 Institutional research plan: CEZ:AV0Z5052915 Keywords : lymphocyte activation * interleukin * lung cancer susceptibility Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 4.700, year: 2005

  15. 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 ...

  16. Replication study for the association of 9 East Asian GWAS-derived loci with susceptibility to type 2 diabetes in a Japanese population.

    Directory of Open Access Journals (Sweden)

    Kensuke Sakai

    Full Text Available AIMS: East Asian genome-wide association studies (GWAS for type 2 diabetes identified 8 loci with genome-wide significance, and 2 loci with a borderline association. However, the associations of these loci except MAEA locus with type 2 diabetes have not been evaluated in independent East Asian cohorts. We performed a replication study to investigate the association of these susceptibility loci with type 2 diabetes in an independent Japanese population. METHODS: We genotyped 7,379 Japanese participants (5,315 type 2 diabetes and 2,064 controls for each of the 9 single nucleotide polymorphisms (SNPs, rs7041847 in GLIS3, rs6017317 in FITM2-R3HDML-HNF4A, rs6467136 near GCCI-PAX4, rs831571 near PSMD6, rs9470794 in ZFAND3, rs3786897 in PEPD, rs1535500 in KCNK16, rs16955379 in CMIP, and rs17797882 near WWOX. Because the sample size in this study was not sufficient to replicate single SNP associations, we constructed a genetic risk score (GRS by summing a number of risk alleles of the 9 SNPs, and examined the association of the GRS with type 2 diabetes using logistic regression analysis. RESULTS: With the exception of rs1535500 in KCNK16, all SNPs had the same direction of effect (odds ratio [OR]>1.0 as in the original reports. The GRS constructed from the 9 SNPs was significantly associated with type 2 diabetes in the Japanese population (p = 4.0 × 10(-4, OR = 1.05, 95% confidence interval: 1.02-1.09. In quantitative trait analyses, rs16955379 in CMIP was nominally associated with a decreased homeostasis model assessment of β-cell function and with increased fasting plasma glucose, but neither the individual SNPs nor the GRS showed a significant association with the glycemic traits. CONCLUSIONS: These results indicate that 9 loci that were identified in the East Asian GWAS meta-analysis have a significant effect on the susceptibility to type 2 diabetes in the Japanese population.

  17. 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...

  18. Knock-in/Knock-out (KIKO) vectors for rapid integration of large DNA sequences, including whole metabolic pathways, onto the Escherichia coli chromosome at well-characterised loci.

    Science.gov (United States)

    Sabri, Suriana; Steen, Jennifer A; Bongers, Mareike; Nielsen, Lars K; Vickers, Claudia E

    2013-06-24

    Metabolic engineering projects often require integration of multiple genes in order to control the desired phenotype. However, this often requires iterative rounds of engineering because many current insertion approaches are limited by the size of the DNA that can be transferred onto the chromosome. Consequently, construction of highly engineered strains is very time-consuming. A lack of well-characterised insertion loci is also problematic. A series of knock-in/knock-out (KIKO) vectors was constructed for integration of large DNA sequences onto the E. coli chromosome at well-defined loci. The KIKO plasmids target three nonessential genes/operons as insertion sites: arsB (an arsenite transporter); lacZ (β-galactosidase); and rbsA-rbsR (a ribose metabolism operon). Two homologous 'arms' target each insertion locus; insertion is mediated by λ Red recombinase through these arms. Between the arms is a multiple cloning site for the introduction of exogenous sequences and an antibiotic resistance marker (either chloramphenicol or kanamycin) for selection of positive recombinants. The resistance marker can subsequently be removed by flippase-mediated recombination. The insertion cassette is flanked by hairpin loops to isolate it from the effects of external transcription at the integration locus. To characterize each target locus, a xylanase reporter gene (xynA) was integrated onto the chromosomes of E. coli strains W and K-12 using the KIKO vectors. Expression levels varied between loci, with the arsB locus consistently showing the highest level of expression. To demonstrate the simultaneous use of all three loci in one strain, xynA, green fluorescent protein (gfp) and a sucrose catabolic operon (cscAKB) were introduced into lacZ, arsB and rbsAR respectively, and shown to be functional. The KIKO plasmids are a useful tool for efficient integration of large DNA fragments (including multiple genes and pathways) into E. coli. Chromosomal insertion provides stable

  19. The susceptibility of dental plaque bacteria to the herbs included in Longo Vital®

    DEFF Research Database (Denmark)

    Larsen, T.; Fiehn, N. E.; Østergaard, E.

    1996-01-01

    Longo Vital® herbal tablets have been shown to have a protective effect against periodontal bone loss in rats. This may be ascribed either to a previously demonstrated immuno-stimulatory effect of the tablets, to an antimicrobial effect of the herbs or to a combination of both. In the present study...... the in vitro susceptibility of 12 dental plaque bacteria to six individual herbs included in Longo Vital® was determined by a broth dilution method. Paprika, rosemary leaves and peppermint inhibited two thirds of the tested bacteria at 2.8-45 mg/ml, 0.75-12 mg/ml and 3-24 mg/ml corresponding to 0.8-12.5 per...... cent, 1.6-25 per cent and 12.5-100 per cent of the recommended daily dose, respectively. A combination of paprika and rosemary leaves tested towards five susceptible bacteria revealed a decreased inhibitory effect on two of these bacteria, especially of Actinobacillus actinomycetemcomitans to paprika...

  20. 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...

  1. A genome-wide association study identifies susceptibility loci for ovarian cancer at 2q31 and 8q24

    DEFF Research Database (Denmark)

    Goode, Ellen L; Chenevix-Trench, Georgia; Song, Honglin

    2010-01-01

    Ovarian cancer accounts for more deaths than all other gynecological cancers combined. To identify common low-penetrance ovarian cancer susceptibility genes, we conducted a genome-wide association study of 507,094 SNPs in 1,768 individuals with ovarian cancer (cases) and 2,354 controls, with foll...

  2. Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia.

    NARCIS (Netherlands)

    Lan, Q.; Hsiung, C.A.; Matsuo, K.; Hong, Y.C.; Seow, A.; Wang, Z.; Hosgood, H.D.; Chen, K.; Wang, J.C.; Chatterjee, N.; Hu, W.; Wong, M.P.; Zheng, W.; Caporaso, N.; Park, J.Y.; Chen, C.J.; Kim, Y.H.; Kim, Y.T.; Landi, M.T.; Shen, H.; Lawrence, C.; Burdett, L.; Yeager, M.; Yuenger, J.; Jacobs, K.B.; Chang, I.S.; Mitsudomi, T.; Kim, H.N.; Chang, G.C.; Bassig, B.A.; Tucker, M.; Wei, F.; Yin, Y.; Wu, C.; An, S.J.; Qian, B.; Lee, V.H.; Lu, D.; Liu, J.; Jeon, H.S.; Hsiao, C.F.; Sung, J.S.; Kim, J.H.; Gao, Y.T.; Tsai, Y.H.; Jung, Y.J.; Guo, H.; Hu, Z.; Hutchinson, A.; Wang, W.C.; Klein, R.; Chung, C.C.; Oh, I.J.; Chen, K.Y.; Berndt, S.I.; He, X.; Wu, W.; Chang, J.; Zhang, X.C.; Huang, M.S.; Zheng, H.; Wang, J.; Zhao, X.|info:eu-repo/dai/nl/413577805; Li, Y.; Choi, J.E.; Su, W.C.; Park, K.H.; Sung, S.W.; Shu, X.O.; Chen, Y.M.; Liu, L.; Kang, C.H.; Hu, L.; Chen, C.H.; Pao, W.; Kim, Y.C.; Yang, T.Y.; Xu, J.; Guan, P.; Tan, W.; Su, J.; Wang, C.L.; Li, H.; Sihoe, A.D.; Zhao, Z.|info:eu-repo/dai/nl/304120995; Chen, Y.; Choi, Y.Y.; Hung, J.Y.; Kim, J.S.; Yoon, H.I.; Cai, Q.; Lin, C.C.; Park, I.K.; Xu, P.; Dong, J.; Kim, C.; He, Q; Perng, R.P.; Kohno, T.; Kweon, S.S.; Chen, C.Y.; Vermeulen, R.|info:eu-repo/dai/nl/216532620; Wu, J.; Lim, W.Y.; Chen, K.C.; Chow, W.H.; Ji, B.T.; Chan, J.K.; Chu, M.; Li, Y.J.; Yokota, J.; Li, J.; Chen, H.; Xiang, Y.B.; Yu, C.J.; Kunitoh, H.; Wu, G.; Jin, L.; Lo, Y.L.; Shiraishi, K.; Chen, Y.H.; Lin, H.C.; Wu, T.; WU, Y.; Yang, P.C.; Zhou, B.; Shin, M.H.; Fraumeni, J.F.; Lin, D.; Chanock, S.J.; Rothman, N.

    2012-01-01

    To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland

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

    Directory of Open Access Journals (Sweden)

    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.

  4. 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

  5. Genetic susceptibility loci, environmental exposures, and Parkinson's disease: a case-control study of gene-environment interactions.

    Science.gov (United States)

    Chung, Sun Ju; Armasu, Sebastian M; Anderson, Kari J; Biernacka, Joanna M; Lesnick, Timothy G; Rider, David N; Cunningham, Julie M; Ahlskog, J Eric; Frigerio, Roberta; Maraganore, Demetrius M

    2013-06-01

    Prior studies causally linked mutations in SNCA, MAPT, and LRRK2 genes with familial Parkinsonism. Genome-wide association studies have demonstrated association of single nucleotide polymorphisms (SNPs) in those three genes with sporadic Parkinson's disease (PD) susceptibility worldwide. Here we investigated the interactions between SNPs in those three susceptibility genes and environmental exposures (pesticides application, tobacco smoking, coffee drinking, and alcohol drinking) also associated with PD susceptibility. Pairwise interactions between environmental exposures and 18 variants (16 SNPs and two variable number tandem repeats, or "VNTRs") in SNCA, MAPT and LRRK2, were investigated using data from 1098 PD cases from the upper Midwest, USA and 1098 matched controls. Environmental exposures were assessed using a validated telephone interview script. Five pairwise interactions had uncorrected P-values coffee drinking × MAPT H1/H2 haplotype or MAPT rs16940806, and alcohol drinking × MAPT rs2435211. None of these interactions remained significant after Bonferroni correction. Secondary analyses in strata defined by type of control (sibling or unrelated), sex, or age at onset of the case also did not identify significant interactions after Bonferroni correction. This study documented limited pairwise interactions between established genetic and environmental risk factors for PD; however, the associations were not significant after correction for multiple testing. Copyright © 2013 Elsevier Ltd. All rights reserved.

  6. 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.

  7. Amplified fragment length polymorphism mapping of quantitative trait loci for malaria parasite susceptibility in the yellow fever mosquito Aedes aegypti.

    Science.gov (United States)

    Zhong, Daibin; Menge, David M; Temu, Emmanuel A; Chen, Hong; Yan, Guiyun

    2006-07-01

    The yellow fever mosquito Aedes aegypti has been the subject of extensive genetic research due to its medical importance and the ease with which it can be manipulated in the laboratory. A molecular genetic linkage map was constructed using 148 amplified fragment length polymorphism (AFLP) and six single-strand conformation polymorphism (SSCP) markers. Eighteen AFLP primer combinations were used to genotype two reciprocal F2 segregating populations. Each primer combination generated an average of 8.2 AFLP markers eligible for linkage mapping. The length of the integrated map was 180.9 cM, giving an average marker resolution of 1.2 cM. Composite interval mapping revealed a total of six QTL significantly affecting Plasmodium susceptibility in the two reciprocal crosses of Ae. aegypti. Two common QTL on linkage group 2 were identified in both crosses that had similar effects on the phenotype, and four QTL were unique to each cross. In one cross, the four main QTL accounted for 64% of the total phenotypic variance, and digenic epistasis explained 11.8% of the variance. In the second cross, the four main QTL explained 66% of the variance, and digenic epistasis accounted for 16% of the variance. The actions of these QTL were either dominance or underdominance. Our results indicated that at least three new QTL were mapped on chromosomes 1 and 3. The polygenic nature of susceptibility to P. gallinaceum and epistasis are important factors for significant variation within or among mosquito strains. The new map provides additional information useful for further genetic investigation, such as identification of new genes and positional cloning.

  8. The role of copy number variation in susceptibility to amyotrophic lateral sclerosis: genome-wide association study and comparison with published loci.

    Directory of Open Access Journals (Sweden)

    Louise V Wain

    2009-12-01

    Full Text Available The genetic contribution to sporadic amyotrophic lateral sclerosis (ALS has not been fully elucidated. There are increasing efforts to characterise the role of copy number variants (CNVs in human diseases; two previous studies concluded that CNVs may influence risk of sporadic ALS, with multiple rare CNVs more important than common CNVs. A little-explored issue surrounding genome-wide CNV association studies is that of post-calling filtering and merging of raw CNV calls. We undertook simulations to define filter thresholds and considered optimal ways of merging overlapping CNV calls for association testing, taking into consideration possibly overlapping or nested, but distinct, CNVs and boundary estimation uncertainty.In this study we screened Illumina 300K SNP genotyping data from 730 ALS cases and 789 controls for copy number variation. Following quality control filters using thresholds defined by simulation, a total of 11321 CNV calls were made across 575 cases and 621 controls. Using region-based and gene-based association analyses, we identified several loci showing nominally significant association. However, the choice of criteria for combining calls for association testing has an impact on the ranking of the results by their significance. Several loci which were previously reported as being associated with ALS were identified here. However, of another 15 genes previously reported as exhibiting ALS-specific copy number variation, only four exhibited copy number variation in this study. Potentially interesting novel loci, including EEF1D, a translation elongation factor involved in the delivery of aminoacyl tRNAs to the ribosome (a process which has previously been implicated in genetic studies of spinal muscular atrophy were identified but must be treated with caution due to concerns surrounding genomic location and platform suitability.Interpretation of CNV association findings must take into account the effects of filtering and combining

  9. Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits

    Science.gov (United States)

    Jackson, Anne U.; Monda, Keri L.; Kilpeläinen, Tuomas O.; Esko, Tõnu; Mägi, Reedik; Li, Shengxu; Workalemahu, Tsegaselassie; Feitosa, Mary F.; Croteau-Chonka, Damien C.; Day, Felix R.; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Locke, Adam E.; Mathieson, Iain; Scherag, Andre; Vedantam, Sailaja; Wood, Andrew R.; Liang, Liming; Steinthorsdottir, Valgerdur; Thorleifsson, Gudmar; Dermitzakis, Emmanouil T.; Dimas, Antigone S.; Karpe, Fredrik; Min, Josine L.; Nicholson, George; Clegg, Deborah J.; Person, Thomas; Krohn, Jon P.; Bauer, Sabrina; Buechler, Christa; Eisinger, Kristina; Bonnefond, Amélie; Froguel, Philippe; Hottenga, Jouke-Jan; Prokopenko, Inga; Waite, Lindsay L.; Harris, Tamara B.; Smith, Albert Vernon; Shuldiner, Alan R.; McArdle, Wendy L.; Caulfield, Mark J.; Munroe, Patricia B.; Grönberg, Henrik; Chen, Yii-Der Ida; Li, Guo; Beckmann, Jacques S.; Johnson, Toby; Thorsteinsdottir, Unnur; Teder-Laving, Maris; Khaw, Kay-Tee; Wareham, Nicholas J.; Zhao, Jing Hua; Amin, Najaf; Oostra, Ben A.; Kraja, Aldi T.; Province, Michael A.; Cupples, L. Adrienne; Heard-Costa, Nancy L.; Kaprio, Jaakko; Ripatti, Samuli; Surakka, Ida; Collins, Francis S.; Saramies, Jouko; Tuomilehto, Jaakko; Jula, Antti; Salomaa, Veikko; Erdmann, Jeanette; Hengstenberg, Christian; Loley, Christina; Schunkert, Heribert; Lamina, Claudia; Wichmann, H. Erich; Albrecht, Eva; Gieger, Christian; Hicks, Andrew A.; Johansson, Åsa; Pramstaller, Peter P.; Kathiresan, Sekar; Speliotes, Elizabeth K.; Penninx, Brenda; Hartikainen, Anna-Liisa; Jarvelin, Marjo-Riitta; Gyllensten, Ulf; Boomsma, Dorret I.; Campbell, Harry; Wilson, James F.; Chanock, Stephen J.; Farrall, Martin; Goel, Anuj; Medina-Gomez, Carolina; Rivadeneira, Fernando; Estrada, Karol; Uitterlinden, André G.; Hofman, Albert; Zillikens, M. Carola; den Heijer, Martin; Kiemeney, Lambertus A.; Maschio, Andrea; Hall, Per; Tyrer, Jonathan; Teumer, Alexander; Völzke, Henry; Kovacs, Peter; Tönjes, Anke; Mangino, Massimo; Spector, Tim D.; Hayward, Caroline; Rudan, Igor; Hall, Alistair S.; Samani, Nilesh J.; Attwood, Antony Paul; Sambrook, Jennifer G.; Hung, Joseph; Palmer, Lyle J.; Lokki, Marja-Liisa; Sinisalo, Juha; Boucher, Gabrielle; Huikuri, Heikki; Lorentzon, Mattias; Ohlsson, Claes; Eklund, Niina; Eriksson, Johan G.; Barlassina, Cristina; Rivolta, Carlo; Nolte, Ilja M.; Snieder, Harold; Van der Klauw, Melanie M.; Van Vliet-Ostaptchouk, Jana V.; Gejman, Pablo V.; Shi, Jianxin; Jacobs, Kevin B.; Wang, Zhaoming; Bakker, Stephan J. L.; Mateo Leach, Irene; Navis, Gerjan; van der Harst, Pim; Martin, Nicholas G.; Medland, Sarah E.; Montgomery, Grant W.; Yang, Jian; Chasman, Daniel I.; Ridker, Paul M.; Rose, Lynda M.; Lehtimäki, Terho; Raitakari, Olli; Absher, Devin; Iribarren, Carlos; Basart, Hanneke; Hovingh, Kees G.; Hyppönen, Elina; Power, Chris; Anderson, Denise; Beilby, John P.; Hui, Jennie; Jolley, Jennifer; Sager, Hendrik; Bornstein, Stefan R.; Schwarz, Peter E. H.; Kristiansson, Kati; Perola, Markus; Lindström, Jaana; Swift, Amy J.; Uusitupa, Matti; Atalay, Mustafa; Lakka, Timo A.; Rauramaa, Rainer; Bolton, Jennifer L.; Fowkes, Gerry; Fraser, Ross M.; Price, Jackie F.; Fischer, Krista; KrjutÅ¡kov, Kaarel; Metspalu, Andres; Mihailov, Evelin; Langenberg, Claudia; Luan, Jian'an; Ong, Ken K.; Chines, Peter S.; Keinanen-Kiukaanniemi, Sirkka M.; Saaristo, Timo E.; Edkins, Sarah; Franks, Paul W.; Hallmans, Göran; Shungin, Dmitry; Morris, Andrew David; Palmer, Colin N. A.; Erbel, Raimund; Moebus, Susanne; Nöthen, Markus M.; Pechlivanis, Sonali; Hveem, Kristian; Narisu, Narisu; Hamsten, Anders; Humphries, Steve E.; Strawbridge, Rona J.; Tremoli, Elena; Grallert, Harald; Thorand, Barbara; Illig, Thomas; Koenig, Wolfgang; Müller-Nurasyid, Martina; Peters, Annette; Boehm, Bernhard O.; Kleber, Marcus E.; März, Winfried; Winkelmann, Bernhard R.; Kuusisto, Johanna; Laakso, Markku; Arveiler, Dominique; Cesana, Giancarlo; Kuulasmaa, Kari; Virtamo, Jarmo; Yarnell, John W. G.; Kuh, Diana; Wong, Andrew; Lind, Lars; de Faire, Ulf; Gigante, Bruna; Magnusson, Patrik K. E.; Pedersen, Nancy L.; Dedoussis, George; Dimitriou, Maria; Kolovou, Genovefa; Kanoni, Stavroula; Stirrups, Kathleen; Bonnycastle, Lori L.; Njølstad, Inger; Wilsgaard, Tom; Ganna, Andrea; Rehnberg, Emil; Hingorani, Aroon; Kivimaki, Mika; Kumari, Meena; Assimes, Themistocles L.; Barroso, Inês; Boehnke, Michael; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Frayling, Timothy; Groop, Leif C.; Haritunians, Talin; Hunter, David; Ingelsson, Erik; Kaplan, Robert; Mohlke, Karen L.; O'Connell, Jeffrey R.; Schlessinger, David; Strachan, David P.; Stefansson, Kari; van Duijn, Cornelia M.; Abecasis, Gonçalo R.; McCarthy, Mark I.; Hirschhorn, Joel N.; Qi, Lu; Loos, Ruth J. F.; Lindgren, Cecilia M.; North, Kari E.; Heid, Iris M.

    2013-01-01

    Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR<5%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P<5×10−8), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits. PMID:23754948

  10. Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits.

    Directory of Open Access Journals (Sweden)

    Joshua C Randall

    2013-06-01

    Full Text Available Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals and took forward 348 SNPs into follow-up (additional 137,052 individuals in a total of 94 studies. Seven loci displayed significant sex-difference (FDR<5%, including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9 and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG, all of which were genome-wide significant in women (P<5×10(-8, but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.

  11. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia

    NARCIS (Netherlands)

    Verhoeven, Virginie J. M.; Hysi, Pirro G.; Wojciechowski, Robert; Fan, Qiao; Guggenheim, Jeremy A.; Höhn, René; Macgregor, Stuart; Hewitt, Alex W.; Nag, Abhishek; Cheng, Ching-Yu; Yonova-Doing, Ekaterina; Zhou, Xin; Ikram, M. Kamran; Buitendijk, Gabriëlle H. S.; McMahon, George; Kemp, John P.; Pourcain, Beate St; Simpson, Claire L.; Mäkelä, Kari-Matti; Lehtimäki, Terho; Kähönen, Mika; Paterson, Andrew D.; Hosseini, S. Mohsen; Wong, Hoi Suen; Xu, Liang; Jonas, Jost B.; Pärssinen, Olavi; Wedenoja, Juho; Yip, Shea Ping; Ho, Daniel W. H.; Pang, Chi Pui; Chen, Li Jia; Burdon, Kathryn P.; Craig, Jamie E.; Klein, Barbara E. K.; Klein, Ronald; Haller, Toomas; Metspalu, Andres; Khor, Chiea-Chuen; Tai, E.-Shyong; Aung, Tin; Vithana, Eranga; Tay, Wan-Ting; Barathi, Veluchamy A.; Chen, Peng; Li, Ruoying; Liao, Jiemin; Zheng, Yingfeng; Bergen, Arthur A. B.; Chen, Wei

    2013-01-01

    Refractive error is the most common eye disorder worldwide and is a prominent cause of blindness. Myopia affects over 30% of Western populations and up to 80% of Asians. The CREAM consortium conducted genome-wide meta-analyses, including 37,382 individuals from 27 studies of European ancestry and

  12. Genetic diversity and haplotype structure of 21 Y-STRs, including nine noncore loci, in South Tunisian Population: Forensic relevance.

    Science.gov (United States)

    Makki-Rmida, Faten; Kammoun, Arwa; Mahfoudh, Nadia; Ayadi, Adnene; Gibriel, Abdullah Ahmed; Mallek, Bakhta; Maalej, Leila; Hammami, Zouheir; Maatoug, Samir; Makni, Hafedh; Masmoudi, Saber

    2015-12-01

    Y chromosome STRs (Y-STRs) are being used frequently in forensic laboratories. Previous studies of Y-STR polymorphisms in different groups of the Tunisian population identified low levels of diversity and discrimination capacity (DC) using various commercial marker sets. This definitely limits the use of such systems for Y-STRs genotyping in Tunisia. In our investigation on South Tunisia, 200 unrelated males were typed for the 12 conventional Y-STRs included in the PowerPlex® Y System. Additional set of nine noncore Y-STRs including DYS446, DYS456, DYS458, DYS388, DYS444, DYS445, DYS449, DYS710, and DYS464 markers were genotyped and evaluated for their potential in improving DC. Allele frequency, gene diversity, haplotype diversity (HD), and DC calculation revealed that DYS464 was the most diverse marker followed by DYS710 and DYS449 markers. The standard panel of 12 Y-STRs (DC = 80.5%) and the nine markers were combined to obtain DC of 99%. Among the 198 different haplotypes observed, 196 haplotypes were unique (HD = 99.999). Out of the nine noncore set, six Y-STRs (DYS458, DYS456, DYS449, DYS710, DYS444, and DYS464) had the greatest impact on enhancing DC. Our data provided putative Y-STRs combination to be used for genetic and forensic applications. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  13. 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....

  14. Immunochip analysis identifies novel susceptibility loci in the human leukocyte antigen region for acquired thrombotic thrombocytopenic purpura.

    Science.gov (United States)

    Mancini, I; Ricaño-Ponce, I; Pappalardo, E; Cairo, A; Gorski, M M; Casoli, G; Ferrari, B; Alberti, M; Mikovic, D; Noris, M; Wijmenga, C; Peyvandi, F

    2016-12-01

    Essentials Genetic predisposition to acquired thrombotic thrombocytopenic purpura (aTTP) is mainly unknown. Genetic risk factors for aTTP were studied by Immunochip analysis and replication study. Human leukocyte antigen (HLA) variant rs6903608 conferred a 2.5-fold higher risk of developing aTTP. rs6903608 and HLA-DQB1*05:03 may explain most of the HLA association signal in aTTP. Click to hear Dr Cataland's presentation on acquired thrombotic thrombocytopenic purpura SUMMARY: Background Acquired thrombotic thrombocytopenic purpura (TTP) is a rare, life-threatening thrombotic microangiopathy associated with the development of autoantibodies against the von Willebrand factor-cleaving protease ADAMTS-13. Similarly to what has been found for other autoimmune disorders, there is evidence of a genetic contribution, including the association of the human leukocyte antigen (HLA) class II complex with disease risk. Objective To identify novel genetic risk factors in acquired TTP. Patients/Methods We undertook a case-control genetic association study in 190 European-origin TTP patients and 1255 Italian healthy controls by using the Illumina Immunochip. Replication analysis in 88 Italian cases and 456 controls was performed with single-nucleotide polymorphism (SNP) TaqMan assays. Results and conclusion We identified one common variant (rs6903608) located within the HLA class II locus that was independently associated with acquired TTP at genome-wide significance and conferred a 2.6-fold increased risk of developing a TTP episode (95% confidence interval [CI] 2.02-3.27, P = 1.64 × 10 -14 ). We also found five non-HLA variants mapping to chromosomes 2, 6, 8 and X that were suggestively associated with the disease: rs9490550, rs115265285, rs5927472, rs7823314, and rs1334768 (nominal P-values ranging from 1.59 × 10 -5 to 7.60 × 10 -5 ). Replication analysis confirmed the association of HLA variant rs6903608 with acquired TTP (pooled P = 3.95 × 10 -19 ). Imputation of classic

  15. Two new loci and gene sets related to sex determination and cancer progression are associated with susceptibility to testicular germ cell tumor.

    Science.gov (United States)

    Kristiansen, Wenche; Karlsson, Robert; Rounge, Trine B; Whitington, Thomas; Andreassen, Bettina K; Magnusson, Patrik K; Fosså, Sophie D; Adami, Hans-Olov; Turnbull, Clare; Haugen, Trine B; Grotmol, Tom; Wiklund, Fredrik

    2015-07-15

    Genome-wide association (GWA) studies have reported 19 distinct susceptibility loci for testicular germ cell tumor (TGCT). A GWA study for TGCT was performed by genotyping 610 240 single-nucleotide polymorphisms (SNPs) in 1326 cases and 6687 controls from Sweden and Norway. No novel genome-wide significant associations were observed in this discovery stage. We put forward 27 SNPs from 15 novel regions and 12 SNPs previously reported, for replication in 710 case-parent triads and 289 cases and 290 controls. Predefined biological pathways and processes, in addition to a custom-built sex-determination gene set, were subject to enrichment analyses using Meta-Analysis Gene Set Enrichment of Variant Associations (M) and Improved Gene Set Enrichment Analysis for Genome-wide Association Study (I). In the combined meta-analysis, we observed genome-wide significant association for rs7501939 on chromosome 17q12 (OR = 0.78, 95% CI = 0.72-0.84, P = 1.1 × 10(-9)) and rs2195987 on chromosome 19p12 (OR = 0.76, 95% CI: 0.69-0.84, P = 3.2 × 10(-8)). The marker rs7501939 on chromosome 17q12 is located in an intron of the HNF1B gene, encoding a member of the homeodomain-containing superfamily of transcription factors. The sex-determination gene set (false discovery rate, FDRM cancer and apoptosis, was associated with TGCT (FDR utero are implicated in the development of TGCT. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  16. Susceptibility Genes in Thyroid Autoimmunity

    Directory of Open Access Journals (Sweden)

    Yoshiyuki Ban

    2005-01-01

    Full Text Available The autoimmune thyroid diseases (AITD are complex diseases which are caused by an interaction between susceptibility genes and environmental triggers. Genetic susceptibility in combination with external factors (e.g. dietary iodine is believed to initiate the autoimmune response to thyroid antigens. Abundant epidemiological data, including family and twin studies, point to a strong genetic influence on the development of AITD. Various techniques have been employed to identify the genes contributing to the etiology of AITD, including candidate gene analysis and whole genome screening. These studies have enabled the identification of several loci (genetic regions that are linked with AITD, and in some of these loci, putative AITD susceptibility genes have been identified. Some of these genes/loci are unique to Graves' disease (GD and Hashimoto's thyroiditis (HT and some are common to both the diseases, indicating that there is a shared genetic susceptibility to GD and HT. The putative GD and HT susceptibility genes include both immune modifying genes (e.g. HLA, CTLA-4 and thyroid specific genes (e.g. TSHR, Tg. Most likely, these loci interact and their interactions may influence disease phenotype and severity.

  17. 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...

  18. Confirmation of dyslexia susceptibility loci on chromosomes 1p and 2p, but not 6p in a Dutch sib-pair collection.

    NARCIS (Netherlands)

    Kovel, C.G.F. de; Franke, B.; Hol, F.A.; Lebrec, J.J.; Maassen, B.A.M.; Brunner, H.G.; Padberg, G.W.A.M.; Platko, J.; Pauls, D.

    2008-01-01

    In this study, we attempted to confirm genetic linkage to developmental dyslexia and reading-related quantitative traits of loci that have been shown to be associated with dyslexia in previous studies. In our sample of 108 Dutch nuclear families, the categorical trait showed strongest linkage to

  19. 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

  20. 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

  1. An integration of genome-wide association study and gene expression profiling to prioritize the discovery of novel susceptibility Loci for osteoporosis-related traits.

    Directory of Open Access Journals (Sweden)

    Yi-Hsiang Hsu

    2010-06-01

    Full Text Available Osteoporosis is a complex disorder and commonly leads to fractures in elderly persons. Genome-wide association studies (GWAS have become an unbiased approach to identify variations in the genome that potentially affect health. However, the genetic variants identified so far only explain a small proportion of the heritability for complex traits. Due to the modest genetic effect size and inadequate power, true association signals may not be revealed based on a stringent genome-wide significance threshold. Here, we take advantage of SNP and transcript arrays and integrate GWAS and expression signature profiling relevant to the skeletal system in cellular and animal models to prioritize the discovery of novel candidate genes for osteoporosis-related traits, including bone mineral density (BMD at the lumbar spine (LS and femoral neck (FN, as well as geometric indices of the hip (femoral neck-shaft angle, NSA; femoral neck length, NL; and narrow-neck width, NW. A two-stage meta-analysis of GWAS from 7,633 Caucasian women and 3,657 men, revealed three novel loci associated with osteoporosis-related traits, including chromosome 1p13.2 (RAP1A, p = 3.6x10(-8, 2q11.2 (TBC1D8, and 18q11.2 (OSBPL1A, and confirmed a previously reported region near TNFRSF11B/OPG gene. We also prioritized 16 suggestive genome-wide significant candidate genes based on their potential involvement in skeletal metabolism. Among them, 3 candidate genes were associated with BMD in women. Notably, 2 out of these 3 genes (GPR177, p = 2.6x10(-13; SOX6, p = 6.4x10(-10 associated with BMD in women have been successfully replicated in a large-scale meta-analysis of BMD, but none of the non-prioritized candidates (associated with BMD did. Our results support the concept of our prioritization strategy. In the absence of direct biological support for identified genes, we highlighted the efficiency of subsequent functional characterization using publicly available expression profiling relevant

  2. 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...

  3. 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...

  4. Network-directed cis-mediator analysis of normal prostate tissue expression profiles reveals downstream regulatory associations of prostate cancer susceptibility loci.

    Science.gov (United States)

    Larson, Nicholas B; McDonnell, Shannon K; Fogarty, Zach; Larson, Melissa C; Cheville, John; Riska, Shaun; Baheti, Saurabh; Weber, Alexandra M; Nair, Asha A; Wang, Liang; O'Brien, Daniel; Davila, Jaime; Schaid, Daniel J; Thibodeau, Stephen N

    2017-10-17

    Large-scale genome-wide association studies have identified multiple single-nucleotide polymorphisms associated with risk of prostate cancer. Many of these genetic variants are presumed to be regulatory in nature; however, follow-up expression quantitative trait loci (eQTL) association studies have to-date been restricted largely to cis -acting associations due to study limitations. While trans -eQTL scans suffer from high testing dimensionality, recent evidence indicates most trans -eQTL associations are mediated by cis -regulated genes, such as transcription factors. Leveraging a data-driven gene co-expression network, we conducted a comprehensive cis -mediator analysis using RNA-Seq data from 471 normal prostate tissue samples to identify downstream regulatory associations of previously identified prostate cancer risk variants. We discovered multiple trans -eQTL associations that were significantly mediated by cis -regulated transcripts, four of which involved risk locus 17q12, proximal transcription factor HNF1B , and target trans -genes with known HNF response elements ( MIA2 , SRC , SEMA6A , KIF12 ). We additionally identified evidence of cis -acting down-regulation of MSMB via rs10993994 corresponding to reduced co-expression of NDRG1 . The majority of these cis -mediator relationships demonstrated trans -eQTL replicability in 87 prostate tissue samples from the Gene-Tissue Expression Project. These findings provide further biological context to known risk loci and outline new hypotheses for investigation into the etiology of prostate cancer.

  5. 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....

  6. Analysis of autism susceptibility gene loci on chromosomes 1p, 4p, 6q, 7q, 13q, 15q, 16p, 17q, 19q and 22q in Finnish multiplex families.

    Science.gov (United States)

    Auranen, M; Nieminen, T; Majuri, S; Vanhala, R; Peltonen, L; Järvelä, I

    2000-05-01

    The role of genetic factors in the etiology of the autistic spectrum of disorders has clearly been demonstrated. Ten chromosomal regions, on chromosomes 1p, 4p, 6q, 7q, 13q, 15q, 16p, 17q, 19q and 22q have potentially been linked to autism.1-8 We have analyzed these chromosomal regions in a total of 17 multiplex families with autism originating from the isolated Finnish population by pairwise linkage analysis and sib-pair analysis. Mild evidence for putative contribution was found only with the 1p chromosomal region in the susceptibility to autism. Our data suggest that additional gene loci exist for autism which will be detectable in and even restricted to the isolated Finnish population.

  7. A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease

    DEFF Research Database (Denmark)

    Amin Al Olama, Ali; Kote-Jarai, Zsofia; Schumacher, Fredrick R

    2013-01-01

    Genome-wide association studies (GWAS) have identified multiple common genetic variants associated with an increased risk of prostate cancer (PrCa), but these explain less than one-third of the heritability. To identify further susceptibility alleles, we conducted a meta-analysis of four GWAS inc...

  8. 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.

  9. Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer

    DEFF Research Database (Denmark)

    Zuber, Verena; Bettella, Francesco; Witoelar, Aree

    2017-01-01

    progression. Although previous approaches have been tried to explain risk associated with SNPs in regulatory DNA elements, so far epigenetic readers such as bromodomain containing protein 4 (BRD4) and super-enhancers have not been used to annotate SNPs. In prostate cancer (PC), androgen receptor (AR) binding......Background: Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific DNA elements, acting to determine tissue or cell identity and driving tumor...... the differential enrichment of SNPs mapping to specific categories of enhancers. We find that BRD4 is the key discriminant of tissue-specific enhancers, showing that it is more powerful than AR binding information to capture PC specific risk loci, and can be used with similar effect in breast cancer (BC...

  10. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

    OpenAIRE

    Berndt, S.I.; Skibola, C.F.; Joseph, V.; Camp, N.J.; Nieters, A.; Wang, Z.; Cozen, W.; Monnereau, A.; Wang, S.S.; Kelly, R.S.; Lan, Q.; Teras, L.R.; Chatterjee, N.; Chung, C.C.; Yeager, M.

    2013-01-01

    Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P = 1.22 × 10...

  11. Loci controlling lymphocyte production of interferon gamma after alloantigen stimulation in vitro and their co-localization with genes controlling lymphocyte infiltration of tumors and tumor susceptibility

    Czech Academy of Sciences Publication Activity Database

    Lipoldová, Marie; Havelková, Helena; Badalová, Jana; Vojtíšková, Jarmila; Quan, L.; Krulová, Magdalena; Sohrabi, Yahya; Stassen, A. P. M.; Demant, P.

    2010-01-01

    Roč. 59, č. 2 (2010), s. 203-213 ISSN 0340-7004 R&D Projects: GA MŠk(CZ) LC06009; GA AV ČR IAA500520606; GA ČR GD310/08/H077 Institutional research plan: CEZ:AV0Z50520514 Keywords : Tumor susceptibility * Genetic control of interferon gamma production * Lymphocyte infiltration of tumors Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 4.293, year: 2010

  12. Replication and Relevance of Multiple Susceptibility Loci Discovered from Genome Wide Association Studies for Type 2 Diabetes in an Indian Population.

    Directory of Open Access Journals (Sweden)

    Nagaraja M Phani

    Full Text Available Several genetic variants for type 2 diabetes (T2D have been identified through genome wide association studies (GWAS from Caucasian population; however replication studies were not consistent across various ethnicities. Objective of the current study is to examine the possible correlation of 9 most significant GWAS single nucleotide polymorphisms (SNPs for T2D susceptibility as well as the interactive effect of these variants on the risk of T2D in an Indian population.Case-control cohorts of 1156 individuals were genotyped for 9 SNPs from an Indian population. Association analyses were performed using logistic regression after adjusting for covariates. Multifactor dimensionality reduction (MDR analysis was adopted to determine gene-gene interactions and discriminatory power of combined SNP effect was assessed by grouping individuals based on the number of risk alleles and by calculating area under the receiver-operator characteristic curve (AUC.We confirm the association of TCF7L2 (rs7903146 and SLC30A8 (rs13266634 with T2D. MDR analysis showed statistically significant interactions among four SNPs of SLC30A8 (rs13266634, IGF2BP2 (rs4402960, HHEX (rs1111875 and CDKN2A (rs10811661 genes. Cumulative analysis showed an increase in odds ratio against the baseline group of individuals carrying 5 to 6 risk alleles and discriminatory power of genetic test based on 9 variants showed higher AUC value when analyzed along with body mass index (BMI.These results provide a strong evidence for independent association between T2D and SNPs for in TCF7L2 and SLC30A8. MDR analysis demonstrates that independently non-significant variants may interact with one another resulting in increased disease susceptibility in the population tested.

  13. Genome-Wide Association Study to Identify Susceptibility Loci That Modify Radiation-Related Risk for Breast Cancer After Childhood Cancer.

    Science.gov (United States)

    Morton, Lindsay M; Sampson, Joshua N; Armstrong, Gregory T; Chen, Ting-Huei; Hudson, Melissa M; Karlins, Eric; Dagnall, Casey L; Li, Shengchao Alfred; Wilson, Carmen L; Srivastava, Deo Kumar; Liu, Wei; Kang, Guolian; Oeffinger, Kevin C; Henderson, Tara O; Moskowitz, Chaya S; Gibson, Todd M; Merino, Diana M; Wong, Jeannette R; Hammond, Sue; Neglia, Joseph P; Turcotte, Lucie M; Miller, Jeremy; Bowen, Laura; Wheeler, William A; Leisenring, Wendy M; Whitton, John A; Burdette, Laurie; Chung, Charles; Hicks, Belynda D; Jones, Kristine; Machiela, Mitchell J; Vogt, Aurelie; Wang, Zhaoming; Yeager, Meredith; Neale, Geoffrey; Lear, Matthew; Strong, Louise C; Yasui, Yutaka; Stovall, Marilyn; Weathers, Rita E; Smith, Susan A; Howell, Rebecca; Davies, Stella M; Radloff, Gretchen A; Onel, Kenan; Berrington de González, Amy; Inskip, Peter D; Rajaraman, Preetha; Fraumeni, Joseph F; Bhatia, Smita; Chanock, Stephen J; Tucker, Margaret A; Robison, Leslie L

    2017-11-01

    Childhood cancer survivors treated with chest-directed radiotherapy have substantially elevated risk for developing breast cancer. Although genetic susceptibility to breast cancer in the general population is well studied, large-scale evaluation of breast cancer susceptibility after chest-directed radiotherapy for childhood cancer is lacking. We conducted a genome-wide association study of breast cancer in female survivors of childhood cancer, pooling two cohorts with detailed treatment data and systematic, long-term follow-up: the Childhood Cancer Survivor Study and St. Jude Lifetime Cohort. The study population comprised 207 survivors who developed breast cancer and 2774 who had not developed any subsequent neoplasm as of last follow-up. Genotyping and subsequent imputation yielded 16 958 466 high-quality variants for analysis. We tested associations in the overall population and in subgroups stratified by receipt of lower than 10 and 10 or higher gray breast radiation exposure. We report P values and pooled per-allele risk estimates from Cox proportional hazards regression models. All statistical tests were two-sided. Among survivors who received 10 or higher gray breast radiation exposure, a locus on 1q41 was associated with subsequent breast cancer risk (rs4342822, nearest gene PROX1 , risk allele frequency in control subjects [RAF controls ] = 0.46, hazard ratio = 1.92, 95% confidence interval = 1.49 to 2.44, P = 7.09 × 10 -9 ). Two rare variants also showed potentially promising associations (breast radiation ≥10 gray: rs74949440, 11q23, TAGLN , RAF controls = 0.02, P = 5.84 × 10 -8 ; breast cancer risk after childhood cancer. Published by Oxford University Press 2017. This work is written by US Government employees and is in the public domain in the US.

  14. Rare CNVs in Suicide Attempt include Schizophrenia-Associated Loci and Neurodevelopmental Genes: A Pilot Genome-Wide and Family-Based Study.

    Directory of Open Access Journals (Sweden)

    Marcus Sokolowski

    Full Text Available Suicidal behavior (SB has a complex etiology involving genes and environment. One of the genetic components in SB could be copy number variations (CNVs, as CNVs are implicated in neurodevelopmental disorders. However, a recently published genome-wide and case-control study did not observe any significant role of CNVs in SB. Here we complemented these initial observations by instead using a family-based trio-sample that is robust to control biases, having severe suicide attempt (SA in offspring as main outcome (n = 660 trios. We first tested for CNV associations on the genome-wide Illumina 1M SNP-array by using FBAT-CNV methodology, which allows for evaluating CNVs without reliance on CNV calling algorithms, analogous to a common SNP-based GWAS. We observed association of certain T-cell receptor markers, but this likely reflected inter-individual variation in somatic rearrangements rather than association with SA outcome. Next, we used the PennCNV software to call 385 putative rare (100 kb CNVs, observed in n = 225 SA offspring. Nine SA offspring had rare CNV calls in a set of previously schizophrenia-associated loci, indicating the importance of such CNVs in certain SA subjects. Several additional, very large (>1MB sized CNV calls in 15 other SA offspring also spanned pathogenic regions or other neural genes of interest. Overall, 45 SA had CNVs enriched for 65 medically relevant genes previously shown to be affected by CNVs, which were characterized by a neurodevelopmental biology. A neurodevelopmental implication was partly congruent with our previous SNP-based GWAS, but follow-up analysis here indicated that carriers of rare CNVs had a decreased burden of common SNP risk-alleles compared to non-carriers. In conclusion, while CNVs did not show genome-wide association by the FBAT-CNV methodology, our preliminary observations indicate rare pathogenic CNVs affecting neurodevelopmental functions in a subset of SA, who were distinct from SA having

  15. Antimicrobial susceptibility and antibiotic resistance gene transfer analysis of foodborne, clinical, and environmental Listeria spp. isolates including Listeria monocytogenes.

    Science.gov (United States)

    Bertsch, David; Muelli, Mirjam; Weller, Monika; Uruty, Anaïs; Lacroix, Christophe; Meile, Leo

    2014-02-01

    The aims of this study were to assess antibiotic resistance pheno- and genotypes in foodborne, clinical, and environmental Listeria isolates, as well as to elucidate the horizontal gene transfer potential of detected resistance genes. A small fraction of in total 524 Listeria spp. isolates (3.1%) displayed acquired antibiotic resistance mainly to tetracycline (n = 11), but also to clindamycin (n = 4) and trimethoprim (n = 3), which was genotypically confirmed. In two cases, a tetracycline resistance phenotype was observed together with a trimethoprim resistance phenotype, namely in a clinical L. monocytogenes strain and in a foodborne L. innocua isolate. Depending on the applied guidelines, a differing number of isolates (n = 2 or n = 20) showed values for ampicillin that are on the edge between intermediate susceptibility and resistance. Transferability of the antibiotic resistance genes from the Listeria donors, elucidated in vitro by filter matings, was demonstrated for genes located on transposons of the Tn916 family and for an unknown clindamycin resistance determinant. Transfer rates of up to 10(-5) transconjugants per donor were obtained with a L. monocytogenes recipient and up to 10(-7) with an Enterococcus faecalis recipient, respectively. Although the prevalence of acquired antibiotic resistance in Listeria isolates from this study was rather low, the transferability of these resistances enables further spread in the future. This endorses the importance of surveillance of L. monocytogenes and other Listeria spp. in terms of antibiotic susceptibility. © 2014 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd.

  16. 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...

  17. 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...

  18. 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

  19. 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...

  20. Klotho: a humeral mediator in CSF and plasma that influences longevity and susceptibility to multiple complex disorders, including depression.

    Science.gov (United States)

    Pavlatou, M G; Remaley, A T; Gold, P W

    2016-08-30

    Klotho is a hormone secreted into human cerebrospinal fluid (CSF), plasma and urine that promotes longevity and influences the onset of several premature senescent phenotypes in mice and humans, including atherosclerosis, cardiovascular disease, stroke and osteoporosis. Preliminary studies also suggest that Klotho possesses tumor suppressor properties. Klotho's roles in these phenomena were first suggested by studies demonstrating that a defect in the Klotho gene in mice results in a significant decrease in lifespan. The Klotho-deficient mouse dies prematurely at 8-9 weeks of age. At 4-5 weeks of age, a syndrome resembling human ageing emerges consisting of atherosclerosis, osteoporosis, cognitive disturbances and alterations of hippocampal architecture. Several deficits in Klotho-deficient mice are likely to contribute to these phenomena. These include an inability to defend against oxidative stress in the central nervous system and periphery, decreased capacity to generate nitric oxide to sustain normal endothelial reactivity, defective Klotho-related mediation of glycosylation and ion channel regulation, increased insulin/insulin-like growth factor signaling and a disturbed calcium and phosphate homeostasis accompanied by altered vitamin D levels and ectopic calcification. Identifying the mechanisms by which Klotho influences multiple important pathways is an emerging field in human biology that will contribute significantly to understanding basic physiologic processes and targets for the treatment of complex diseases. Because many of the phenomena seen in Klotho-deficient mice occur in depressive illness, major depression and bipolar disorder represent illnesses potentially associated with Klotho dysregulation. Klotho's presence in CSF, blood and urine should facilitate its study in clinical populations.

  1. Autism genetic database (AGD: a comprehensive database including autism susceptibility gene-CNVs integrated with known noncoding RNAs and fragile sites

    Directory of Open Access Journals (Sweden)

    Talebizadeh Zohreh

    2009-09-01

    Full Text Available Abstract Background Autism is a highly heritable complex neurodevelopmental disorder, therefore identifying its genetic basis has been challenging. To date, numerous susceptibility genes and chromosomal abnormalities have been reported in association with autism, but most discoveries either fail to be replicated or account for a small effect. Thus, in most cases the underlying causative genetic mechanisms are not fully understood. In the present work, the Autism Genetic Database (AGD was developed as a literature-driven, web-based, and easy to access database designed with the aim of creating a comprehensive repository for all the currently reported genes and genomic copy number variations (CNVs associated with autism in order to further facilitate the assessment of these autism susceptibility genetic factors. Description AGD is a relational database that organizes data resulting from exhaustive literature searches for reported susceptibility genes and CNVs associated with autism. Furthermore, genomic information about human fragile sites and noncoding RNAs was also downloaded and parsed from miRBase, snoRNA-LBME-db, piRNABank, and the MIT/ICBP siRNA database. A web client genome browser enables viewing of the features while a web client query tool provides access to more specific information for the features. When applicable, links to external databases including GenBank, PubMed, miRBase, snoRNA-LBME-db, piRNABank, and the MIT siRNA database are provided. Conclusion AGD comprises a comprehensive list of susceptibility genes and copy number variations reported to-date in association with autism, as well as all known human noncoding RNA genes and fragile sites. Such a unique and inclusive autism genetic database will facilitate the evaluation of autism susceptibility factors in relation to known human noncoding RNAs and fragile sites, impacting on human diseases. As a result, this new autism database offers a valuable tool for the research

  2. 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...

  3. Genome-wide association analysis in East Asians identifies breast cancer susceptibility loci at 1q32.1, 5q14.3 and 15q26.1

    Science.gov (United States)

    Cai, Qiuyin; Zhang, Ben; Sung, Hyuna; Low, Siew-Kee; Kweon, Sun-Seog; Lu, Wei; Shi, Jiajun; Long, Jirong; Wen, Wanqing; Choi, Ji-Yeob; Noh, Dong-Young; Shen, Chen-Yang; Matsuo, Keitaro; Teo, Soo-Hwang; Kim, Mi Kyung; Khoo, Ui Soon; Iwasaki, Motoki; Hartman, Mikael; Takahashi, Atsushi; Ashikawa, Kyota; Matsuda, Koichi; Shin, Min-Ho; Park, Min Ho; Zheng, Ying; Xiang, Yong-Bing; Ji, Bu-Tian; Park, Sue K.; Wu, Pei-Ei; Hsiung, Chia-Ni; Ito, Hidemi; Kasuga, Yoshio; Kang, Peter; Mariapun, Shivaani; Ahn, Sei Hyun; Kang, Han Sung; Chan, Kelvin Y. K.; Man, Ellen P. S.; Iwata, Hiroji; Tsugane, Shoichiro; Miao, Hui; Liao, Jiemin; Nakamura, Yusuke; Kubo, Michiaki; Delahanty, Ryan J.; Zhang, Yanfeng; Li, Bingshan; Li, Chun; Gao, Yu-Tang; Shu, Xiao-Ou; Kang, Daehee; Zheng, Wei

    2014-01-01

    In a three-stage genome-wide association study among East Asian women including 22,780 cases and 24,181 controls, we identified three novel genetic loci associated with breast cancer risk, including rs4951011 at 1q32.1 (in intron 2 of the ZC3H11A gene, P = 8.82 × 10−9), rs10474352 at 5q14.3 (near the ARRDC3 gene, P = 1.67 × 10−9), and rs2290203 at 15q26.1 (in intron 14 of the PRC1 gene, P = 4.25 × 10−8). These associations were replicated in European-ancestry populations including 16,003 cases and 41,335 controls (P = 0.030, 0.004, and 0.010, respectively). Data from the ENCODE project suggest that variants rs4951011 and rs10474352 may be located in an enhancer region and transcription factor binding sites, respectively. This study provides additional insights into the genetics and biology of breast cancer. PMID:25038754

  4. 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.

  5. Genetic susceptibility to Grave's disease.

    Science.gov (United States)

    Li, Hong; Chen, Qiuying

    2013-06-01

    The variety of clinical presentations of eye changes in patients with Graves' disease (GD) suggests that complex interactions between genetic, environmental, endogenous and local factors influence the severity of Graves' ophthalmopathy (GO). It is thought that the development of GO might be influenced by genetic factors and environmental factors, such as cigarette smoking. At present, however, the role of genetic factors in the development of GO is not known. On the basis of studies with candidate genes and other genetic approaches, several susceptibility loci in GO have been proposed, including immunological genes, human leukocyte antigen (HLA), cytotoxic T-lymphocyte antigen-4 (CTLA-4), regulatory T-cell genes and thyroid-specific genes. This review gives a brief overview of the current range of major susceptibility genes found for GD.

  6. Identification and phenotypic characterization of a second collagen adhesin, Scm, and genome-based identification and analysis of 13 other predicted MSCRAMMs, including four distinct pilus loci, in Enterococcus faecium.

    Science.gov (United States)

    Sillanpää, Jouko; Nallapareddy, Sreedhar R; Prakash, Vittal P; Qin, Xiang; Höök, Magnus; Weinstock, George M; Murray, Barbara E

    2008-10-01

    Attention has recently been drawn to Enterococcus faecium because of an increasing number of nosocomial infections caused by this species and its resistance to multiple antibacterial agents. However, relatively little is known about the pathogenic determinants of this organism. We have previously identified a cell-wall-anchored collagen adhesin, Acm, produced by some isolates of E. faecium, and a secreted antigen, SagA, exhibiting broad-spectrum binding to extracellular matrix proteins. Here, we analysed the draft genome of strain TX0016 for potential microbial surface components recognizing adhesive matrix molecules (MSCRAMMs). Genome-based bioinformatics identified 22 predicted cell-wall-anchored E. faecium surface proteins (Fms), of which 15 (including Acm) had characteristics typical of MSCRAMMs, including predicted folding into a modular architecture with multiple immunoglobulin-like domains. Functional characterization of one [Fms10; redesignated second collagen adhesin of E. faecium (Scm)] revealed that recombinant Scm(65) (A- and B-domains) and Scm(36) (A-domain) bound to collagen type V efficiently in a concentration-dependent manner, bound considerably less to collagen type I and fibrinogen, and differed from Acm in their binding specificities to collagen types IV and V. Results from far-UV circular dichroism measurements of recombinant Scm(36) and of Acm(37) indicated that these proteins were rich in beta-sheets, supporting our folding predictions. Whole-cell ELISA and FACS analyses unambiguously demonstrated surface expression of Scm in most E. faecium isolates. Strikingly, 11 of the 15 predicted MSCRAMMs clustered in four loci, each with a class C sortase gene; nine of these showed similarity to Enterococcus faecalis Ebp pilus subunits and also contained motifs essential for pilus assembly. Antibodies against one of the predicted major pilus proteins, Fms9 (redesignated EbpC(fm)), detected a 'ladder' pattern of high-molecular-mass protein bands in a

  7. Genotypic and Antimicrobial Susceptibility of Carbapenem-Resistant Acinetobacter baumannii: Analysis of ISAba Elements and blaOXA-23-like Genes Including A New Variant

    Directory of Open Access Journals (Sweden)

    Abbas eBahador

    2015-11-01

    Full Text Available Carbapenem-resistant Acinetobacter baumannii (CR-AB causes serious nosocomial infections, especially in ICU wards of hospitals, worldwide. Expression of blaOXA genes is the chief mechanism of conferring carbapenem resistance among CR-AB. Although some blaOXA genes have been studied among CR-AB isolates from Iran, their blaOXA-23-like genes have not been investigated. We used a multiplex-PCR to detect Ambler class A, B, and D carbapenemases of 85 isolates, and determined that 34 harbored blaOXA-23-like genes. Amplified fragment length polymorphism (AFLP genotyping, followed by DNA sequencing of blaOXA-23-like amplicons of CR-AB from each AFLP group was used to characterize their blaOXA-23-like genes. We also assessed the antimicrobial susceptibility pattern of CR-AB isolates, and tested whether they harbored insertion sequences ISAba1 and ISAba4. Sequence comparison with reference strain A. baumannii (NCTC12156 revealed five types of mutations in blaOXA-23-like genes; including one novel variant and four mutants that were already reported from China and the USA. All of the blaOXA-23-like genes mutations were associated with increased minimum inhibitory concentrations (MICs against imipenem. ISAba1 and ISAba4 sequences were detected upstream of blaOXA-23 genes in 19% and 7% of isolates, respectively. The isolation of CR-AB with new blaOXA-23 mutations including some that have been reported from the USA and China highlights CR-AB pervasive distribution, which underscores the importance of concerted national and global efforts to control the spread of CR-AB isolates worldwide.

  8. Microdeletion/microduplication of proximal 15q11.2 between BP1 and BP2: a susceptibility region for neurological dysfunction including developmental and language delay.

    Science.gov (United States)

    Burnside, Rachel D; Pasion, Romela; Mikhail, Fady M; Carroll, Andrew J; Robin, Nathaniel H; Youngs, Erin L; Gadi, Inder K; Keitges, Elizabeth; Jaswaney, Vikram L; Papenhausen, Peter R; Potluri, Venkateswara R; Risheg, Hiba; Rush, Brooke; Smith, Janice L; Schwartz, Stuart; Tepperberg, James H; Butler, Merlin G

    2011-10-01

    The proximal long arm of chromosome 15 has segmental duplications located at breakpoints BP1-BP5 that mediate the generation of NAHR-related microdeletions and microduplications. The classical Prader-Willi/Angelman syndrome deletion is flanked by either of the proximal BP1 or BP2 breakpoints and the distal BP3 breakpoint. The larger Type I deletions are flanked by BP1 and BP3 in both Prader-Willi and Angelman syndrome subjects. Those with this deletion are reported to have a more severe phenotype than individuals with either Type II deletions (BP2-BP3) or uniparental disomy 15. The BP1-BP2 region spans approximately 500 kb and contains four evolutionarily conserved genes that are not imprinted. Reports of mutations or disturbed expression of these genes appear to impact behavioral and neurological function in affected individuals. Recently, reports of deletions and duplications flanked by BP1 and BP2 suggest an association with speech and motor delays, behavioral problems, seizures, and autism. We present a large cohort of subjects with copy number alteration of BP1 to BP2 with common phenotypic features. These include autism, developmental delay, motor and language delays, and behavioral problems, which were present in both cytogenetic groups. Parental studies demonstrated phenotypically normal carriers in several instances, and mildly affected carriers in others, complicating phenotypic association and/or causality. Possible explanations for these results include reduced penetrance, altered gene dosage on a particular genetic background, or a susceptibility region as reported for other areas of the genome implicated in autism and behavior disturbances.

  9. 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

  10. Genome-wide association analysis of genetic generalized epilepsies implicates susceptibility loci at 1q43, 2p16.1, 2q22.3 and 17q21.32

    DEFF Research Database (Denmark)

    Steffens, M.; Leu, C.; Ruppert, A. K.

    2012-01-01

    Genetic generalized epilepsies (GGEs) have a lifetime prevalence of 0.3 and account for 2030 of all epilepsies. Despite their high heritability of 80, the genetic factors predisposing to GGEs remain elusive. To identify susceptibility variants shared across common GGE syndromes, we carried out a ...

  11. 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.

  12. High Frequency of Interactions between Lung Cancer Susceptibility Genes in the Mouse : Mapping of Sluc5 to Sluc14

    NARCIS (Netherlands)

    Fijneman, Remond J.A.; Jansen, Ritsert C.; Valk, Martin A. van der; Demant, Peter

    1998-01-01

    Although several genes that cause monogenic familial cancer syndromes have been identified, susceptibility to sporadic cancer remains unresolved. Animal experiments have demonstrated multigenic control of tumor susceptibility. Recently, we described four mouse lung cancer susceptibility (Sluc) loci,

  13. Expression QTL analysis of top loci from GWAS meta-analysis highlights additional schizophrenia candidate genes

    DEFF Research Database (Denmark)

    de Jong, Simone; van Eijk, Kristel R; Zeegers, Dave W L H

    2012-01-01

    of the Psychiatric GWAS consortium (PGC) yielded five novel loci for schizophrenia. In this study, we aim to highlight additional schizophrenia susceptibility loci from the PGC study by combining the top association findings from the discovery stage (9394 schizophrenia cases and 12 462 controls) with expression QTLs...

  14. Large-scale association analysis identifies new risk loci for coronary artery disease

    NARCIS (Netherlands)

    Deloukas, Panos; Kanoni, Stavroula; Willenborg, Christina; Farrall, Martin; Assimes, Themistocles L.; Thompson, John R.; Ingelsson, Erik; Saleheen, Danish; Erdmann, Jeanette; Goldstein, Benjamin A.; Stirrups, Kathleen; König, Inke R.; Cazier, Jean-Baptiste; Johansson, Asa; Hall, Alistair S.; Lee, Jong-Young; Willer, Cristen J.; Chambers, John C.; Esko, Tõnu; Folkersen, Lasse; Goel, Anuj; Grundberg, Elin; Havulinna, Aki S.; Ho, Weang K.; Hopewell, Jemma C.; Eriksson, Niclas; Kleber, Marcus E.; Kristiansson, Kati; Lundmark, Per; Lyytikäinen, Leo-Pekka; Rafelt, Suzanne; Shungin, Dmitry; Strawbridge, Rona J.; Thorleifsson, Gudmar; Tikkanen, Emmi; van Zuydam, Natalie; Voight, Benjamin F.; Waite, Lindsay L.; Zhang, Weihua; Ziegler, Andreas; Absher, Devin; Altshuler, David; Balmforth, Anthony J.; Barroso, Inês; Braund, Peter S.; Burgdorf, Christof; Claudi-Boehm, Simone; Cox, David; Dimitriou, Maria; Do, Ron; Doney, Alex S. F.; El Mokhtari, NourEddine; Eriksson, Per; Fischer, Krista; Fontanillas, Pierre; Franco-Cereceda, Anders; Gigante, Bruna; Groop, Leif; Gustafsson, Stefan; Hager, Jörg; Hallmans, Göran; Han, Bok-Ghee; Hunt, Sarah E.; Kang, Hyun M.; Illig, Thomas; Kessler, Thorsten; Knowles, Joshua W.; Kolovou, Genovefa; Kuusisto, Johanna; Langenberg, Claudia; Langford, Cordelia; Leander, Karin; Lokki, Marja-Liisa; Lundmark, Anders; McCarthy, Mark I.; Meisinger, Christa; Melander, Olle; Mihailov, Evelin; Maouche, Seraya; Morris, Andrew D.; Müller-Nurasyid, Martina; Nikus, Kjell; Peden, John F.; Rayner, N. William; Rasheed, Asif; Rosinger, Silke; Rubin, Diana; Rumpf, Moritz P.; Schäfer, Arne; Sivananthan, Mohan; Song, Ci; Stewart, Alexandre F. R.; Tan, Sian-Tsung; Thorgeirsson, Gudmundur; van der Schoot, C. Ellen; Wagner, Peter J.; Wells, George A.; Wild, Philipp S.; Yang, Tsun-Po; Amouyel, Philippe; Arveiler, Dominique; Basart, Hanneke; Boehnke, Michael; Boerwinkle, Eric; Brambilla, Paolo; Cambien, Francois; Cupples, Adrienne L.; de Faire, Ulf; Dehghan, Abbas; Diemert, Patrick; Epstein, Stephen E.; Evans, Alun; Ferrario, Marco M.; Ferrières, Jean; Gauguier, Dominique; Go, Alan S.; Goodall, Alison H.; Gudnason, Villi; Hazen, Stanley L.; Holm, Hilma; Iribarren, Carlos; Jang, Yangsoo; Kähönen, Mika; Kee, Frank; Kim, Hyo-Soo; Klopp, Norman; Koenig, Wolfgang; Kratzer, Wolfgang; Kuulasmaa, Kari; Laakso, Markku; Laaksonen, Reijo; Lee, Ji-Young; Lind, Lars; Ouwehand, Willem H.; Parish, Sarah; Park, Jeong E.; Pedersen, Nancy L.; Peters, Annette; Quertermous, Thomas; Rader, Daniel J.; Salomaa, Veikko; Schadt, Eric; Shah, Svati H.; Sinisalo, Juha; Stark, Klaus; Stefansson, Kari; Trégouët, David-Alexandre; Virtamo, Jarmo; Wallentin, Lars; Wareham, Nicholas; Zimmermann, Martina E.; Nieminen, Markku S.; Hengstenberg, Christian; Sandhu, Manjinder S.; Pastinen, Tomi; Syvänen, Ann-Christine; Hovingh, G. Kees; Dedoussis, George; Franks, Paul W.; Lehtimäki, Terho; Metspalu, Andres; Zalloua, Pierre A.; Siegbahn, Agneta; Schreiber, Stefan; Ripatti, Samuli; Blankenberg, Stefan S.; Perola, Markus; Clarke, Robert; Boehm, Bernhard O.; O'Donnell, Christopher; Reilly, Muredach P.; März, Winfried; Collins, Rory; Kathiresan, Sekar; Hamsten, Anders; Kooner, Jaspal S.; Thorsteinsdottir, Unnur; Danesh, John; Palmer, Colin N. A.; Roberts, Robert; Watkins, Hugh; Schunkert, Heribert; Samani, Nilesh J.

    2013-01-01

    Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2)

  15. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    Science.gov (United States)

    Estrada, Karol; Styrkarsdottir, Unnur; Evangelou, Evangelos; Hsu, Yi-Hsiang; Duncan, Emma L; Ntzani, Evangelia E; Oei, Ling; Albagha, Omar M E; Amin, Najaf; Kemp, John P; Koller, Daniel L; Li, Guo; Liu, Ching-Ti; Minster, Ryan L; Moayyeri, Alireza; Vandenput, Liesbeth; Willner, Dana; Xiao, Su-Mei; Yerges-Armstrong, Laura M; Zheng, Hou-Feng; Alonso, Nerea; Eriksson, Joel; Kammerer, Candace M; Kaptoge, Stephen K; Leo, Paul J; Thorleifsson, Gudmar; Wilson, Scott G; Wilson, James F; Aalto, Ville; Alen, Markku; Aragaki, Aaron K; Aspelund, Thor; Center, Jacqueline R; Dailiana, Zoe; Duggan, David J; Garcia, Melissa; Garcia-Giralt, Natàlia; Giroux, Sylvie; Hallmans, Göran; Hocking, Lynne J; Husted, Lise Bjerre; Jameson, Karen A; Khusainova, Rita; Kim, Ghi Su; Kooperberg, Charles; Koromila, Theodora; Kruk, Marcin; Laaksonen, Marika; Lacroix, Andrea Z; Lee, Seung Hun; Leung, Ping C; Lewis, Joshua R; Masi, Laura; Mencej-Bedrac, Simona; Nguyen, Tuan V; Nogues, Xavier; Patel, Millan S; Prezelj, Janez; Rose, Lynda M; Scollen, Serena; Siggeirsdottir, Kristin; Smith, Albert V; Svensson, Olle; Trompet, Stella; Trummer, Olivia; van Schoor, Natasja M; Woo, Jean; Zhu, Kun; Balcells, Susana; Brandi, Maria Luisa; Buckley, Brendan M; Cheng, Sulin; Christiansen, Claus; Cooper, Cyrus; Dedoussis, George; Ford, Ian; Frost, Morten; Goltzman, David; González-Macías, Jesús; Kähönen, Mika; Karlsson, Magnus; Khusnutdinova, Elza; Koh, Jung-Min; Kollia, Panagoula; Langdahl, Bente Lomholt; Leslie, William D; Lips, Paul; Ljunggren, Östen; Lorenc, Roman S; Marc, Janja; Mellström, Dan; Obermayer-Pietsch, Barbara; Olmos, José M; Pettersson-Kymmer, Ulrika; Reid, David M; Riancho, José A; Ridker, Paul M; Rousseau, François; Slagboom, P Eline; Tang, Nelson LS; Urreizti, Roser; Van Hul, Wim; Viikari, Jorma; Zarrabeitia, María T; Aulchenko, Yurii S; Castano-Betancourt, Martha; Grundberg, Elin; Herrera, Lizbeth; Ingvarsson, Thorvaldur; Johannsdottir, Hrefna; Kwan, Tony; Li, Rui; Luben, Robert; Medina-Gómez, Carolina; Palsson, Stefan Th; Reppe, Sjur; Rotter, Jerome I; Sigurdsson, Gunnar; van Meurs, Joyce B J; Verlaan, Dominique; Williams, Frances MK; Wood, Andrew R; Zhou, Yanhua; Gautvik, Kaare M; Pastinen, Tomi; Raychaudhuri, Soumya; Cauley, Jane A; Chasman, Daniel I; Clark, Graeme R; Cummings, Steven R; Danoy, Patrick; Dennison, Elaine M; Eastell, Richard; Eisman, John A; Gudnason, Vilmundur; Hofman, Albert; Jackson, Rebecca D; Jones, Graeme; Jukema, J Wouter; Khaw, Kay-Tee; Lehtimäki, Terho; Liu, Yongmei; Lorentzon, Mattias; McCloskey, Eugene; Mitchell, Braxton D; Nandakumar, Kannabiran; Nicholson, Geoffrey C; Oostra, Ben A; Peacock, Munro; Pols, Huibert A P; Prince, Richard L; Raitakari, Olli; Reid, Ian R; Robbins, John; Sambrook, Philip N; Sham, Pak Chung; Shuldiner, Alan R; Tylavsky, Frances A; van Duijn, Cornelia M; Wareham, Nick J; Cupples, L Adrienne; Econs, Michael J; Evans, David M; Harris, Tamara B; Kung, Annie Wai Chee; Psaty, Bruce M; Reeve, Jonathan; Spector, Timothy D; Streeten, Elizabeth A; Zillikens, M Carola; Thorsteinsdottir, Unnur; Ohlsson, Claes; Karasik, David; Richards, J Brent; Brown, Matthew A; Stefansson, Kari; Uitterlinden, André G; Ralston, Stuart H; Ioannidis, John P A; Kiel, Douglas P; Rivadeneira, Fernando

    2012-01-01

    Bone mineral density (BMD) is the most important predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and East Asian ancestry. We tested the top-associated BMD markers for replication in 50,933 independent subjects and for risk of low-trauma fracture in 31,016 cases and 102,444 controls. We identified 56 loci (32 novel)associated with BMD atgenome-wide significant level (P<5×10−8). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal-stem-cell differentiation, endochondral ossification and the Wnt signalling pathways. However, we also discovered loci containing genes not known to play a role in bone biology. Fourteen BMD loci were also associated with fracture risk (P<5×10−4, Bonferroni corrected), of which six reached P<5×10−8 including: 18p11.21 (C18orf19), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. PMID:22504420

  16. 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.

  17. 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.

  18. 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.

  19. Evaluation of Caspofungin Susceptibility Testing by the New Vitek 2 AST-YS06 Yeast Card Using a Unique Collection of FKS Wild-Type and Hot Spot Mutant Isolates, Including the Five Most Common Candida Species

    DEFF Research Database (Denmark)

    Astvad, Karen M; Perlin, David S; Johansen, Helle K

    2013-01-01

    FKS mutant isolates associated with breakthrough or failure cases are emerging in clinical settings. Discrimination of these from wild-type (wt) isolates in a routine laboratory setting is complicated. We evaluated the ability of caspofungin MIC determination using the new Vitek 2 AST-Y06 yeast...... susceptibility card to correctly identify the fks mutants from wt isolates and compared the performance to those of the CLSI and EUCAST reference methods. A collection of 98 Candida isolates, including 31 fks hot spot mutants, were included. Performance was evaluated using the FKS genotype as the "gold standard...

  20. Variant mannose-binding lectin alleles are not associated with susceptibility to or outcome of invasive pneumococcal infection in randomly included patients

    DEFF Research Database (Denmark)

    Kronborg, Gitte; Weis, Nina; Madsen, Hans O

    2002-01-01

    for pneumococcal infections. To assess the influence of MBL genotypes on the course and outcome of invasive pneumococcal disease, clinical data for 141 adult patients were collected prospectively and their genotypes were determined. All patients included had positive blood cultures for Streptococcus pneumoniae....... The distribution of variant MBL alleles related to low MBL serum concentrations was similar among the patients and healthy individuals, and MBL genotype was not associated with infection outcome. Thus, in a random adult population with invasive pneumococcal infection, MBL does not seem to play a role......Invasive pneumococcal disease is a serious infection that primarily affects very young children and elderly or immunocompromised individuals but also affects previously healthy people. Variant mannose-binding lectin (MBL) alleles are associated with recurrent infections and may be a risk factor...

  1. Genetic evidence of multiple loci in dystocia - difficult labour

    Directory of Open Access Journals (Sweden)

    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.

  2. 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

  3. 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.

  4. 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.

  5. [Identification and drug susceptibility testing of Mycobacterium thermoresistibile and Mycobacterium elephantis isolated from a cow with mastitis].

    Science.gov (United States)

    Li, W B; Ji, L Y; Xu, D L; Liu, H C; Zhao, X Q; Wu, Y M; Wan, K L

    2018-05-10

    Objective: To understand the etiological characteristics and drug susceptibility of Mycobacterium thermoresistibile and Mycobacterium elephantis isolated from a cow with mastitis and provide evidence for the prevention and control of infectious mastitis in cows. Methods: The milk sample was collected from a cow with mastitis, which was pretreated with 4 % NaOH and inoculated with L-J medium for Mycobacterium isolation. The positive cultures were initially identified by acid-fast staining and multi-loci PCR, then Mycobacterium species was identified by the multiple loci sequence analysis (MLSA) with 16S rRNA , hsp65 , ITS and SodA genes. The drug sensitivity of the isolates to 27 antibiotics was tested by alamar blue assay. Results: Two anti-acid stain positive strains were isolated from the milk of a cow with mastitis, which were identified as non- tuberculosis mycobacterium by multi-loci PCR, and multi-loci nucleic acid sequence analysis indicated that one strain was Mycobacterium thermoresistibile and another one was Mycobacterium elephantis . The results of the drug susceptibility test showed that the two strains were resistant to most antibiotics, including rifampicin and isoniazid, but they were sensitive to amikacin, moxifloxacin, levofloxacin, ethambutol, streptomycin, tobramycin, ciprofloxacin and linezolid. Conclusions: Mycobacterium thermoresistibile and Mycobacterium elephantis were isolated in a cow with mastitis and the drug susceptibility spectrum of the pathogens were unique. The results of the study can be used as reference for the prevention and control the infection in cows.

  6. Immunochip Analysis Identifies Multiple Susceptibility Loci for Systemic Sclerosis

    NARCIS (Netherlands)

    Mayes, Maureen D.; Bossini-Castillo, Lara; Gorlova, Olga; Martin, Jose Ezequiel; Zhou, Xiaodong; Chen, Wei V.; Assassi, Shervin; Ying, Jun; Tan, Filemon K.; Arnett, Frank C.; Reveille, John D.; Guerra, Sandra; Terue, Maria; Carmona, Francisco David; Gregersen, Peter K.; Lee, Annette T.; Lopez-Isac, Elena; Ochoa, Eguzkine; Carreira, Patricia; Simeon, Carmen Pilar; Castellvi, Ivan; Angel Gonzalez-Gay, Miguel; Zhernakova, Alexandra; Padyukov, Leonid; Aarcon-Riquelme, Marta; Wijmenga, Cisca; Beretta, Lorenzo; Riemekasten, Gabriela; Witte, Torsten; Hunzelmann, Nicolas; Kreuter, Alexander; Distler, Jorg H. W.; Voskuy, Alexandre E.; Schuerwegh, Annemie J.; Hesselstrand, Roger; Nordin, Annika; Airo, Paolo; Lunardi, Claudio; Shiels, Paul; van Laar, Jacob M.; Herrick, Ariane; Worthington, Jane; Denton, Christopher; Wigley, Fredrick M.; Hummers, Laura K.; Varga, John; Hinchcliff, Monique E.; Baron, Murray; Hudson, Marie; Pope, Janet E.

    2014-01-01

    In this study, 1,833 systemic sclerosis (SSc) cases and 3,466 controls were genotyped with the Immunochip array. Classical alleles, amino acid residues, and SNPs across the human leukocyte antigen (HLA) region were imputed and tested. These analyses resulted in a model composed of six polymorphic

  7. 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

  8. 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...

  9. Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease.

    Science.gov (United States)

    Escott-Price, Valentina; Bellenguez, Céline; Wang, Li-San; Choi, Seung-Hoan; Harold, Denise; Jones, Lesley; Holmans, Peter; Gerrish, Amy; Vedernikov, Alexey; Richards, Alexander; DeStefano, Anita L; Lambert, Jean-Charles; Ibrahim-Verbaas, Carla A; Naj, Adam C; Sims, Rebecca; Jun, Gyungah; Bis, Joshua C; Beecham, Gary W; Grenier-Boley, Benjamin; Russo, Giancarlo; Thornton-Wells, Tricia A; Denning, Nicola; Smith, Albert V; Chouraki, Vincent; Thomas, Charlene; Ikram, M Arfan; Zelenika, Diana; Vardarajan, Badri N; Kamatani, Yoichiro; Lin, Chiao-Feng; Schmidt, Helena; Kunkle, Brian; Dunstan, Melanie L; Vronskaya, Maria; Johnson, Andrew D; Ruiz, Agustin; Bihoreau, Marie-Thérèse; Reitz, Christiane; Pasquier, Florence; Hollingworth, Paul; 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; Hernández, Isabel; 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; Myers, Amanda J; Dufouil, Carole; Todd, Stephen; Wallon, David; Love, Seth; Rogaeva, Ekaterina; Gallacher, John; George-Hyslop, Peter St; Clarimon, Jordi; Lleo, Alberto; Bayer, Anthony; Tsuang, Debby W; Yu, Lei; Tsolaki, Magda; Bossù, Paola; Spalletta, Gianfranco; Proitsi, Petra; Collinge, John; Sorbi, Sandro; Garcia, Florentino Sanchez; Fox, Nick C; Hardy, John; Naranjo, Maria Candida Deniz; Bosco, Paolo; Clarke, Robert; Brayne, Carol; Galimberti, Daniela; Scarpini, Elio; Bonuccelli, Ubaldo; Mancuso, Michelangelo; Siciliano, Gabriele; Moebus, Susanne; Mecocci, Patrizia; Zompo, Maria Del; Maier, Wolfgang; Hampel, Harald; Pilotto, Alberto; Frank-García, Ana; Panza, Francesco; Solfrizzi, Vincenzo; Caffarra, Paolo; Nacmias, Benedetta; Perry, William; 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; Dartigues, Jean-François; Mayeux, Richard; Tzourio, Christophe; Hofman, Albert; Nöthen, Markus M; Graff, Caroline; Psaty, Bruce M; Haines, Jonathan L; Lathrop, Mark; Pericak-Vance, Margaret A; Launer, Lenore J; Van Broeckhoven, Christine; Farrer, Lindsay A; van Duijn, Cornelia M; Ramirez, Alfredo; Seshadri, Sudha; Schellenberg, Gerard D; Amouyel, Philippe; Williams, Julie

    2014-01-01

    Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls. In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10-6) and 14 (IGHV1-67 p = 7.9×10-8) which indexed novel susceptibility loci. The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.

  10. Evolution, revolution and heresy in the genetics of infectious disease susceptibility

    Science.gov (United States)

    Hill, Adrian V. S.

    2012-01-01

    Infectious pathogens have long been recognized as potentially powerful agents impacting on the evolution of human genetic diversity. Analysis of large-scale case–control studies provides one of the most direct means of identifying human genetic variants that currently impact on susceptibility to particular infectious diseases. For over 50 years candidate gene studies have been used to identify loci for many major causes of human infectious mortality, including malaria, tuberculosis, human immunodeficiency virus/acquired immunodeficiency syndrome, bacterial pneumonia and hepatitis. But with the advent of genome-wide approaches, many new loci have been identified in diverse populations. Genome-wide linkage studies identified a few loci, but genome-wide association studies are proving more successful, and both exome and whole-genome sequencing now offer a revolutionary increase in power. Opinions differ on the extent to which the genetic component to common disease susceptibility is encoded by multiple high frequency or rare variants, and the heretical view that most infectious diseases might even be monogenic has been advocated recently. Review of findings to date suggests that the genetic architecture of infectious disease susceptibility may be importantly different from that of non-infectious diseases, and it is suggested that natural selection may be the driving force underlying this difference. PMID:22312051

  11. Evolution, revolution and heresy in the genetics of infectious disease susceptibility.

    Science.gov (United States)

    Hill, Adrian V S

    2012-03-19

    Infectious pathogens have long been recognized as potentially powerful agents impacting on the evolution of human genetic diversity. Analysis of large-scale case-control studies provides one of the most direct means of identifying human genetic variants that currently impact on susceptibility to particular infectious diseases. For over 50 years candidate gene studies have been used to identify loci for many major causes of human infectious mortality, including malaria, tuberculosis, human immunodeficiency virus/acquired immunodeficiency syndrome, bacterial pneumonia and hepatitis. But with the advent of genome-wide approaches, many new loci have been identified in diverse populations. Genome-wide linkage studies identified a few loci, but genome-wide association studies are proving more successful, and both exome and whole-genome sequencing now offer a revolutionary increase in power. Opinions differ on the extent to which the genetic component to common disease susceptibility is encoded by multiple high frequency or rare variants, and the heretical view that most infectious diseases might even be monogenic has been advocated recently. Review of findings to date suggests that the genetic architecture of infectious disease susceptibility may be importantly different from that of non-infectious diseases, and it is suggested that natural selection may be the driving force underlying this difference.

  12. Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease.

    Directory of Open Access Journals (Sweden)

    Valentina Escott-Price

    Full Text Available Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls.In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10-6 and 14 (IGHV1-67 p = 7.9×10-8 which indexed novel susceptibility loci.The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.

  13. High-density genotyping of immune loci in Koreans and Europeans identifies eight new rheumatoid arthritis risk loci.

    Science.gov (United States)

    Kim, Kwangwoo; Bang, So-Young; Lee, Hye-Soon; Cho, Soo-Kyung; Choi, Chan-Bum; Sung, Yoon-Kyoung; Kim, Tae-Hwan; Jun, Jae-Bum; Yoo, Dae Hyun; Kang, Young Mo; Kim, Seong-Kyu; Suh, Chang-Hee; Shim, Seung-Cheol; Lee, Shin-Seok; Lee, Jisoo; Chung, Won Tae; Choe, Jung-Yoon; Shin, Hyoung Doo; Lee, Jong-Young; Han, Bok-Ghee; Nath, Swapan K; Eyre, Steve; Bowes, John; Pappas, Dimitrios A; Kremer, Joel M; Gonzalez-Gay, Miguel A; Rodriguez-Rodriguez, Luis; Ärlestig, Lisbeth; Okada, Yukinori; Diogo, Dorothée; Liao, Katherine P; Karlson, Elizabeth W; Raychaudhuri, Soumya; Rantapää-Dahlqvist, Solbritt; Martin, Javier; Klareskog, Lars; Padyukov, Leonid; Gregersen, Peter K; Worthington, Jane; Greenberg, Jeffrey D; Plenge, Robert M; Bae, Sang-Cheol

    2015-03-01

    A highly polygenic aetiology and high degree of allele-sharing between ancestries have been well elucidated in genetic studies of rheumatoid arthritis. Recently, the high-density genotyping array Immunochip for immune disease loci identified 14 new rheumatoid arthritis risk loci among individuals of European ancestry. Here, we aimed to identify new rheumatoid arthritis risk loci using Korean-specific Immunochip data. We analysed Korean rheumatoid arthritis case-control samples using the Immunochip and genome-wide association studies (GWAS) array to search for new risk alleles of rheumatoid arthritis with anticitrullinated peptide antibodies. To increase power, we performed a meta-analysis of Korean data with previously published European Immunochip and GWAS data for a total sample size of 9299 Korean and 45,790 European case-control samples. We identified eight new rheumatoid arthritis susceptibility loci (TNFSF4, LBH, EOMES, ETS1-FLI1, COG6, RAD51B, UBASH3A and SYNGR1) that passed a genome-wide significance threshold (p<5×10(-8)), with evidence for three independent risk alleles at 1q25/TNFSF4. The risk alleles from the seven new loci except for the TNFSF4 locus (monomorphic in Koreans), together with risk alleles from previously established RA risk loci, exhibited a high correlation of effect sizes between ancestries. Further, we refined the number of single nucleotide polymorphisms (SNPs) that represent potentially causal variants through a trans-ethnic comparison of densely genotyped SNPs. This study demonstrates the advantage of dense-mapping and trans-ancestral analysis for identification of potentially causal SNPs. In addition, our findings support the importance of T cells in the pathogenesis and the fact of frequent overlap of risk loci among diverse autoimmune diseases. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  14. Library Spirit and Genius Loci

    DEFF Research Database (Denmark)

    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"....

  15. Genetic polymorphisms of 20 autosomal STR loci in the Vietnamese population from Yunnan Province, Southwest China.

    Science.gov (United States)

    Zhang, Xiufeng; Hu, Liping; Du, Lei; Nie, Aiting; Rao, Min; Pang, Jing Bo; Nie, Shengjie

    2017-05-01

    The genetic polymorphisms of 20 autosomal short tandem repeat (STR) loci included in the PowerPlex® 21 kit were evaluated in 522 healthy unrelated Vietnamese from Yunnan, China. All of the loci reached the Hardy-Weinberg equilibrium. These loci were examined to determine allele frequencies and forensic statistical parameters. The combined discrimination power and probability of excluding paternity of the 20 STR loci were 0.999999999999999999999991 26 and 0.999999975, respectively. Results suggested that the 20 STR loci are highly polymorphic, which is suitable for forensic personal identification and paternity testing.

  16. An evolutionary reduction principle for mutation rates at multiple Loci.

    Science.gov (United States)

    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.

  17. The loci controlling plasticity in flax

    Directory of Open Access Journals (Sweden)

    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 

  18. Susceptibility Testing

    Science.gov (United States)

    ... Marker Bicarbonate (Total CO2) Bilirubin Blood Culture Blood Gases Blood Ketones Blood Smear Blood Typing Blood Urea ... hours depending on the method used. There are commercial tests available that offer rapid susceptibility testing and ...

  19. High-density genotyping of immune-related loci identifies new SLE risk variants in individuals with Asian ancestry.

    Science.gov (United States)

    Sun, Celi; Molineros, Julio E; Looger, Loren L; Zhou, Xu-Jie; Kim, Kwangwoo; Okada, Yukinori; Ma, Jianyang; Qi, Yuan-Yuan; Kim-Howard, Xana; Motghare, Prasenjeet; Bhattarai, Krishna; Adler, Adam; Bang, So-Young; Lee, Hye-Soon; Kim, Tae-Hwan; Kang, Young Mo; Suh, Chang-Hee; Chung, Won Tae; Park, Yong-Beom; Choe, Jung-Yoon; Shim, Seung Cheol; Kochi, Yuta; Suzuki, Akari; Kubo, Michiaki; Sumida, Takayuki; Yamamoto, Kazuhiko; Lee, Shin-Seok; Kim, Young Jin; Han, Bok-Ghee; Dozmorov, Mikhail; Kaufman, Kenneth M; Wren, Jonathan D; Harley, John B; Shen, Nan; Chua, Kek Heng; Zhang, Hong; Bae, Sang-Cheol; Nath, Swapan K

    2016-03-01

    Systemic lupus erythematosus (SLE) has a strong but incompletely understood genetic architecture. We conducted an association study with replication in 4,478 SLE cases and 12,656 controls from six East Asian cohorts to identify new SLE susceptibility loci and better localize known loci. We identified ten new loci and confirmed 20 known loci with genome-wide significance. Among the new loci, the most significant locus was GTF2IRD1-GTF2I at 7q11.23 (rs73366469, Pmeta = 3.75 × 10(-117), odds ratio (OR) = 2.38), followed by DEF6, IL12B, TCF7, TERT, CD226, PCNXL3, RASGRP1, SYNGR1 and SIGLEC6. We identified the most likely functional variants at each locus by analyzing epigenetic marks and gene expression data. Ten candidate variants are known to alter gene expression in cis or in trans. Enrichment analysis highlights the importance of these loci in B cell and T cell biology. The new loci, together with previously known loci, increase the explained heritability of SLE to 24%. The new loci share functional and ontological characteristics with previously reported loci and are possible drug targets for SLE therapeutics.

  20. Integrating mechanistic and polymorphism data to characterize human genetic susceptibility for environmental chemical risk assessment in the 21st century

    International Nuclear Information System (INIS)

    Mortensen, Holly M.; Euling, Susan Y.

    2013-01-01

    Response to environmental chemicals can vary widely among individuals and between population groups. In human health risk assessment, data on susceptibility can be utilized by deriving risk levels based on a study of a susceptible population and/or an uncertainty factor may be applied to account for the lack of information about susceptibility. Defining genetic susceptibility in response to environmental chemicals across human populations is an area of interest in the NAS' new paradigm of toxicity pathway-based risk assessment. Data from high-throughput/high content (HT/HC), including -omics (e.g., genomics, transcriptomics, proteomics, metabolomics) technologies, have been integral to the identification and characterization of drug target and disease loci, and have been successfully utilized to inform the mechanism of action for numerous environmental chemicals. Large-scale population genotyping studies may help to characterize levels of variability across human populations at identified target loci implicated in response to environmental chemicals. By combining mechanistic data for a given environmental chemical with next generation sequencing data that provides human population variation information, one can begin to characterize differential susceptibility due to genetic variability to environmental chemicals within and across genetically heterogeneous human populations. The integration of such data sources will be informative to human health risk assessment

  1. BXSB/long-lived is a recombinant inbred strain containing powerful disease suppressor loci.

    Science.gov (United States)

    Haywood, Michelle E K; Gabriel, Luisa; Rose, S Jane; Rogers, Nicola J; Izui, Shozo; Morley, Bernard J

    2007-08-15

    The BXSB strain of recombinant inbred mice develops a spontaneous pathology that closely resembles the human disease systemic lupus erythematosus. Six non-MHC loci, Yaa, Bxs1-4, and Bxs6, have been linked to the development of aspects of the disease while a further locus, Bxs5, may be a BXSB-derived disease suppressor. Disease development is delayed in a substrain of BXSB, BXSB/MpJScr-long-lived (BXSB/ll). We compared the genetic derivation of BXSB/ll mice to the original strain, BXSB/MpJ, using microsatellite markers and single nucleotide polymorphisms across the genome. These differences were clustered and included two regions known to be important in the disease-susceptibility of these mice, Bxs5 and 6, as well as regions on chromosomes 5, 6, 9, 11, 12, and 13. We compared BXSB/ll to >20 strains including the BXSB parental SB/Le and C57BL/6 strains. This revealed that BXSB/ll is a separate recombinant inbred line derived from SB/Le and C57BL/6, but distinctly different from BXSB, that most likely arose due to residual heterozygosity in the BXSB stock. Despite the continued presence of the powerful disease-susceptibility locus Bxs3, BXSB/ll mice do not develop disease. We propose that the disappearance of the disease phenotype in the BXSB/ll mice is due to the inheritance of one or more suppressor loci in the differentially inherited intervals between the BXSB/ll and BXSB strains.

  2. 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

  3. Common variants at five new loci associated with early-onset inflammatory bowel disease.

    Science.gov (United States)

    Imielinski, Marcin; Baldassano, Robert N; Griffiths, Anne; Russell, Richard K; Annese, Vito; Dubinsky, Marla; Kugathasan, Subra; Bradfield, Jonathan P; Walters, Thomas D; Sleiman, Patrick; Kim, Cecilia E; Muise, Aleixo; Wang, Kai; Glessner, Joseph T; Saeed, Shehzad; Zhang, Haitao; Frackelton, Edward C; Hou, Cuiping; Flory, James H; Otieno, George; Chiavacci, Rosetta M; Grundmeier, Robert; Castro, Massimo; Latiano, Anna; Dallapiccola, Bruno; Stempak, Joanne; Abrams, Debra J; Taylor, Kent; McGovern, Dermot; Silber, Gary; Wrobel, Iwona; Quiros, Antonio; Barrett, Jeffrey C; Hansoul, Sarah; Nicolae, Dan L; Cho, Judy H; Duerr, Richard H; Rioux, John D; Brant, Steven R; Silverberg, Mark S; Taylor, Kent D; Barmuda, M Michael; Bitton, Alain; Dassopoulos, Themistocles; Datta, Lisa Wu; Green, Todd; Griffiths, Anne M; Kistner, Emily O; Murtha, Michael T; Regueiro, Miguel D; Rotter, Jerome I; Schumm, L Philip; Steinhart, A Hillary; Targan, Stephen R; Xavier, Ramnik J; Libioulle, Cécile; Sandor, Cynthia; Lathrop, Mark; Belaiche, Jacques; Dewit, Olivier; Gut, Ivo; Heath, Simon; Laukens, Debby; Mni, Myriam; Rutgeerts, Paul; Van Gossum, André; Zelenika, Diana; Franchimont, Denis; Hugot, J P; de Vos, Martine; Vermeire, Severine; Louis, Edouard; Cardon, Lon R; Anderson, Carl A; Drummond, Hazel; Nimmo, Elaine; Ahmad, Tariq; Prescott, Natalie J; Onnie, Clive M; Fisher, Sheila A; Marchini, Jonathan; Ghori, Jilur; Bumpstead, Suzannah; Gwillam, Rhian; Tremelling, Mark; Delukas, Panos; Mansfield, John; Jewell, Derek; Satsangi, Jack; Mathew, Christopher G; Parkes, Miles; Georges, Michel; Daly, Mark J; Heyman, Melvin B; Ferry, George D; Kirschner, Barbara; Lee, Jessica; Essers, Jonah; Grand, Richard; Stephens, Michael; Levine, Arie; Piccoli, David; Van Limbergen, John; Cucchiara, Salvatore; Monos, Dimitri S; Guthery, Stephen L; Denson, Lee; Wilson, David C; Grant, Straun F A; Daly, Mark; Silverberg, Mark S; Satsangi, Jack; Hakonarson, Hakon

    2009-12-01

    The inflammatory bowel diseases (IBD) Crohn's disease and ulcerative colitis are common causes of morbidity in children and young adults in the western world. Here we report the results of a genome-wide association study in early-onset IBD involving 3,426 affected individuals and 11,963 genetically matched controls recruited through international collaborations in Europe and North America, thereby extending the results from a previous study of 1,011 individuals with early-onset IBD. We have identified five new regions associated with early-onset IBD susceptibility, including 16p11 near the cytokine gene IL27 (rs8049439, P = 2.41 x 10(-9)), 22q12 (rs2412973, P = 1.55 x 10(-9)), 10q22 (rs1250550, P = 5.63 x 10(-9)), 2q37 (rs4676410, P = 3.64 x 10(-8)) and 19q13.11 (rs10500264, P = 4.26 x 10(-10)). Our scan also detected associations at 23 of 32 loci previously implicated in adult-onset Crohn's disease and at 8 of 17 loci implicated in adult-onset ulcerative colitis, highlighting the close pathogenetic relationship between early- and adult-onset IBD.

  4. 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.

  5. 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

  6. 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...

  7. Multiple loci associated with renal function in African Americans.

    Directory of Open Access Journals (Sweden)

    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.

  8. 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

  9. 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

  10. Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms

    DEFF Research Database (Denmark)

    Howson, Joanna M. M.; Zhao, Wei; Barnes, Daniel R

    2017-01-01

    Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indicating that additional susceptibility loci await identification. An efficient discovery strategy ...

  11. 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...

  12. Mapping of Gene Expression Reveals CYP27A1 as a Susceptibility Gene for Sporadic ALS

    NARCIS (Netherlands)

    Diekstra, Frank P.; Saris, Christiaan G. J.; van Rheenen, Wouter; Franke, Lude; Jansen, Ritsert C.; van Es, Michael A.; van Vught, Paul W. J.; Blauw, Hylke M.; Groen, Ewout J. N.; Horvath, Steve; Estrada, Karol; Rivadeneira, Fernando; Hofman, Albert; Uitterlinden, Andre G.; Robberecht, Wim; Andersen, Peter M.; Melki, Judith; Meininger, Vincent; Hardiman, Orla; Landers, John E.; Brown, Robert H.; Shatunov, Aleksey; Shaw, Christopher E.; Leigh, P. Nigel; Al-Chalabi, Ammar; Ophoff, Roel A.; van den Berg, Leonard H.; Veldink, Jan H.; Brown Jr., Robert H.; Brug, Marcel P. van der

    2012-01-01

    Amyotrophic lateral sclerosis (ALS) is a progressive, neurodegenerative disease characterized by loss of upper and lower motor neurons. ALS is considered to be a complex trait and genome-wide association studies (GWAS) have implicated a few susceptibility loci. However, many more causal loci remain

  13. 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.

  14. 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

  15. 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

  16. 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.

  17. 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

  18. Commentary on "identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array." COGS-Cancer Research UK GWAS-ELLIPSE (part of GAME-ON) Initiative; Australian Prostate Cancer Bioresource; UK Genetic Prostate Cancer Study Collaborators/British Association

    DEFF Research Database (Denmark)

    Olumi, Aria F; Nordestgaard, Børge G.

    2014-01-01

    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 internationa...

  19. Novel susceptibility locus at 22q11 for diabetic nephropathy in type 1 diabetes

    DEFF Research Database (Denmark)

    Wessman, Maija; Forsblom, Carol; Kaunisto, Mari A

    2011-01-01

    Diabetic nephropathy (DN) affects about 30% of patients with type 1 diabetes (T1D) and contributes to serious morbidity and mortality. So far only the 3q21-q25 region has repeatedly been indicated as a susceptibility region for DN. The aim of this study was to search for new DN susceptibility loci...

  20. New insights into susceptibility to glioma.

    Science.gov (United States)

    Liu, Yanhong; Shete, Sanjay; Hosking, Fay J; Robertson, Lindsay B; Bondy, Melissa L; Houlston, Richard S

    2010-03-01

    The study of inherited susceptibility to cancer has been one of the most informative areas of research in the past decade. Most of the cancer genetics studies have been focused on the common tumors such as breast and colorectal cancers. As the allelic architecture of these tumors is unraveled, research attention is turning to other rare cancers such as glioma, which are also likely to have a major genetic component as the basis of their development. In this brief review we discuss emerging data on glioma whole genome-association searches to identify risk loci. Two glioma genome-wide association studies have so far been reported. Our group identified 5 risk loci for glioma susceptibility (TERT rs2736100, CCDC26 rs4295627, CDKN2A/CDKN2B rs4977756, RTEL1 rs6010620, and PHLDB1 rs498872). Wrensch and colleagues provided further evidence to 2 risk loci (CDKN2B rs1412829 and RTEL1 rs6010620) for GBM and anaplastic astrocytoma. Although these data provide the strongest evidence to date for the role of common low-risk variants in the etiology of glioma, the single-nucleotide polymorphisms identified alone are unlikely to be candidates for causality. Identifying the causal variant at each specific locus and its biological impact now poses a significant challenge, contingent on a combination of fine mapping and functional analyses. Finally, we hope that a greater understanding of the biological basis of the disease will lead to the development of novel therapeutic interventions.

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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 ...

  7. 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

  8. Fifteen new risk loci for coronary artery disease highlight arterial wall-specific mechanisms

    OpenAIRE

    Howson, Joanna M.M.; Zhao, Wei; Barnes, Daniel R.; Ho, Weang-Kee; Young, Robin; Paul, Dirk S.; Waite, Lindsay L.; Freitag, Daniel F.; Fauman, Eric B.; Salfati, Elias L.; Sun, Benjamin B.; Eicher, John D.; Johnson, Andrew D.; Sheu, Wayne H.H.; Nielsen, Sune F.

    2017-01-01

    Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indicating that additional susceptibility loci await identification. An efficient discovery strategy may be larger-scale evaluation of promising associations suggested by genome-wide association studies (GWAS). Hence, we genotyped 56,309 participants using a targeted gene array derived from earlier G...

  9. Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms

    OpenAIRE

    Howson, Joanna McCammond; Zhao, W; Barnes, Daniel Robert; Ho, W-K; Young, R; Paul, Dirk Stefan; Waite, LL; Freitag, DF; Fauman, EB; Salfati, EL; Sun, Benjamin; Eicher, JD; Johnson, AD; Sheu, WHH; Nielsen, SF

    2017-01-01

    Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indicating that additional susceptibility loci await identification. An efficient discovery strategy may be larger-scale evaluation of promising associations suggested by genome-wide association studies (GWAS). Hence, we genotyped 56,309 participants using a targeted gene array derived from earlier G...

  10. Linking Y‐chromosomal short tandem repeat loci to human male impulsive aggression

    OpenAIRE

    Yang, Chun; Ba, Huajie; Cao, Yin; Dong, Guoying; Zhang, Shuyou; Gao, Zhiqin; Zhao, Hanqing; Zhou, Xianju

    2017-01-01

    Abstract Introduction Men are more susceptible to impulsive behavior than women. Epidemiological studies revealed that the impulsive aggressive behavior is affected by genetic factors, and the male‐specific Y chromosome plays an important role in this behavior. In this study, we investigated the association between the impulsive aggressive behavior and Y‐chromosomal short tandem repeats (Y‐STRs) loci. Methods The collected biologic samples from 271 offenders with impulsive aggressive behavior...

  11. Quantitative Trait Loci in Inbred Lines

    NARCIS (Netherlands)

    Jansen, R.C.

    2001-01-01

    Quantitative traits result from the influence of multiple genes (quantitative trait loci) and environmental factors. Detecting and mapping the individual genes underlying such 'complex' traits is a difficult task. Fortunately, populations obtained from crosses between inbred lines are relatively

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

    NARCIS (Netherlands)

    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; Burdon, Kathryn P.; Craig, Jamie E.; Iyengar, Sudha K.; Igo, Robert P.; Lass, Jonathan H.; Chew, Emily Y.; Haller, Toomas; Mihailov, Evelin; Metspalu, Andres; Wedenoja, Juho; Simpson, Claire L.; Wojciechowski, Robert; Chen, Wei

    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

  13. Population database on: D1S1656, D2S441, D2S1338, D3S1358, D8S1179, D10S1248, D22S1045, D12S391, D16S539, D18S51, D19S433, D21S11, FGA, TH01, vWA loci included in NGM system based on one thousand unrelated individuals from Lodz region of Central Poland

    Directory of Open Access Journals (Sweden)

    Renata Jacewicz

    2017-01-01

    Full Text Available A population data obtained on the basis of sample of 1000 unrelated individuals of Polish ancestry living in Lodz region of Central Poland with use of fluorescent multiplex-PCR and capillary electrophoresis were presented. Evaluation included 15 polymorphic loci DNA – STR from NGM multiplex-PCR set, ie. D1S1656, D2S441, D2S1338, D3S1358, D8S1179, D10S1248, D12S391, D16S539, D18S51, D19S433, D21S11, D22S1045, FGA, TH01, vWA. The allele frequency distribution and crucial statistical parameters for the investigated markers and the whole set were calculated. The compliance of the studied population with Hardy-Weinberg equilibrium, independence of inheritance and high parameters of the usefulness in forensic genetics have been demonstrated. The interpopulation comparison performed by the „neighbor-joining” method as well as multidimensional scaling depicted the genetic distances dividing the examined Polish population from other populations of Poland, Europe and the world.

  14. 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.

  15. 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

  16. 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...

  17. Micro-ribonucleic acid-binding site variants of type 2 diabetes candidate loci predispose to gestational diabetes mellitus in Chinese Han women.

    Science.gov (United States)

    Wang, Xiaojing; Li, Wei; Ma, Liangkun; Ping, Fan; Liu, Juntao; Wu, Xueyan; Mao, Jiangfeng; Wang, Xi; Nie, Min

    2018-01-20

    Emerging evidence has suggested that the genetic background of gestational diabetes mellitus (GDM) was analogous to type 2 diabetes mellitus. In contrast to type 2 diabetes mellitus, the genetic studies for GDM were limited. Accordingly, the aim of the present study was to extensively explore the influence of micro-ribonucleic acid-binding single-nucleotide polymorphisms (SNPs) in type 2 diabetes mellitus candidate loci on GDM susceptibility in Chinese. A total of 839 GDM patients and 900 controls were enrolled. Six micro-ribonucleic acid-binding SNPs were selected from 30 type 2 diabetes mellitus susceptibility loci and genotyped using TaqMan allelic discrimination assays. The minor allele of three SNPs, PAX4 rs712699 (OR 1.366, 95% confidence interval 1.021-1.828, P = 0.036), KCNB1 rs1051295 (OR 1.579, 95% confidence interval 1.172-2.128, P = 0.003) and MFN2 rs1042842 (OR 1.398, 95% confidence interval 1.050-1.862, P = 0.022) were identified to significantly confer higher a risk of GDM in the additive model. The association between rs1051295 and increased fasting plasma glucose (b = 0.006, P = 0.008), 3-h oral glucose tolerance test plasma glucose (b = 0.058, P = 0.025) and homeostatic model assessment of insulin resistance (b = 0.065, P = 0.017) was also shown. Rs1042842 was correlated with higher 3-h oral glucose tolerance test plasma glucose (b = 0.056, P = 0.028). However, no significant correlation between the other included SNPs (LPIN1 rs1050800, VPS26A rs1802295 and NLRP3 rs10802502) and GDM susceptibility were observed. The present findings showed that micro-ribonucleic acid-binding SNPs in type 2 diabetes mellitus candidate loci were also associated with GDM susceptibility, which further highlighted the similar genetic basis underlying GDM and type 2 diabetes mellitus. © 2018 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

  18. Genetic loci for retinal arteriolar microcirculation.

    Directory of Open Access Journals (Sweden)

    Xueling Sim

    Full Text Available Narrow arterioles in the retina have been shown to predict hypertension as well as other vascular diseases, likely through an increase in the peripheral resistance of the microcirculatory flow. In this study, we performed a genome-wide association study in 18,722 unrelated individuals of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium and the Blue Mountain Eye Study, to identify genetic determinants associated with variations in retinal arteriolar caliber. Retinal vascular calibers were measured on digitized retinal photographs using a standardized protocol. One variant (rs2194025 on chromosome 5q14 near the myocyte enhancer factor 2C MEF2C gene was associated with retinal arteriolar caliber in the meta-analysis of the discovery cohorts at genome-wide significance of P-value <5×10(-8. This variant was replicated in an additional 3,939 individuals of European ancestry from the Australian Twins Study and Multi-Ethnic Study of Atherosclerosis (rs2194025, P-value = 2.11×10(-12 in combined meta-analysis of discovery and replication cohorts. In independent studies of modest sample sizes, no significant association was found between this variant and clinical outcomes including coronary artery disease, stroke, myocardial infarction or hypertension. In conclusion, we found one novel loci which underlie genetic variation in microvasculature which may be relevant to vascular disease. The relevance of these findings to clinical outcomes remains to be determined.

  19. An Updated and Comprehensive Meta-Analysis of Association Between Seven Hot Loci Polymorphisms from Eight GWAS and Glioma Risk.

    Science.gov (United States)

    Wu, Qiang; Peng, Yanyan; Zhao, Xiaotao

    2016-09-01

    Eight genome-wide association studies (GWASs) found that seven loci (rs2736100, rs4295627, rs4977756, rs498872, rs11979158, rs2252586, rs6010620) polymorphisms could elevate the risk of glioma, one of the most common types of primary brain cancer in adults. However, the replication studies about these seven loci obtained inconsistent results. In order to derive a more accurate estimation about the relationship between the selected single-nucleotide polymorphism (SNP) and susceptibility to glioma, we conducted a meta-analysis containing all eligible published case control studies to evaluate the association. An overall literature search was conducted using the database of PubMed, Science Direct, China national knowledge infrastructure (CNKI), and Embase. Seventeen articles with 25 studies were included in the meta-analysis. Glioma risk (odds ratio, OR; 95 % confidential interval, 95 %CI) was estimated with the random-effect model or the fixed-effects model. STATA 12.0 was applied to analyze all statistical data. Results showed that seven hot loci were all associated with increased risk of glioma (rs2736100, OR = 1.28, 95 %CI = 1.23-1.32; rs4295627, OR = 1.34, 95 %CI = 1.21-1.47; rs4977756, OR = 1.24, 95 %CI = 1.20-1.28; rs498872, OR = 1.24, 95 %CI = 1.15-1.33; rs6010620, OR = 1.29, 95 %CI = 1.24-1.35; rs11979158: OR = 1.18, 95 %CI = 1.10-1.25; rs2252586: OR = 1.18, 95 %CI = 1.10-1.25). Additionally, subgroup analysis by stages of glioma found that variation of rs11979158 had stronger relationship with high-grade (OR = 1.32, 95 %CI = 1.19-1.45) than low-grade glioma (OR = 1.12, 95 % CI = 1.03-1.21). Similarly, stratified analysis of rs2252586 by stages revealed the similar trend, with OR of 1.26 (95 %CI = 1.17-1.35) in high-grade glioma and OR of 1.15 (95 %CI = 1.08-1.22) in low-grade glioma. In summary, the present study showed that mutations of the seven loci could elevate

  20. Modeling susceptibility to periodontitis

    NARCIS (Netherlands)

    Laine, M.L.; Moustakis, V.; Koumakis, L.; Potamias, G.; Loos, B.G.

    2013-01-01

    Chronic inflammatory diseases like periodontitis have a complex pathogenesis and a multifactorial etiology, involving complex interactions between multiple genetic loci and infectious agents. We aimed to investigate the influence of genetic polymorphisms and bacteria on chronic periodontitis risk.

  1. Genome-wide analysis identifies 12 loci influencing human reproductive behavior

    Science.gov (United States)

    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; 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; Panagiota, Kalafati Ioanna; Porcu, Eleonora; Prokopenko, Inga; Rajan, Kumar B.; Rich-Edwards, Janet; Rietveld, Cornelius A.; Robino, Antonietta; Rose, Lynda M.; Rueedi, Rico; Ryan, Kathy; Saba, Yasaman; Schmidt, Daniel; Smith, Jennifer A.; Stolk, Lisette; Streeten, Elizabeth; Tonjes, 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; Daniela, Toniolo; Davey-Smith, George; Deary, Ian J.; Dedoussis, George; Deloukas, Panos; van Duijn, Cornelia M.; de Geus, Eco JC.; Eriksson, Johan G.; Evans, Denis A.; Faul, Jessica D.; Felicita, Sala Cinzia; 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; Hypponen, 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; Lai, Sandra; Lehtimäki, Terho; Liewald, David C; Lindgren, Cecilia; 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; Michela, Traglia; 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 WJH; 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.; Tönjes, Anke; 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.

    2017-01-01

    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 underlying mechanisms of AFB and NEB are poorly understood. We report the largest genome-wide association study to date of both sexes including 251,151 individuals for AFB and 343,072 for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study, and four additional loci in a gene-based effort. These loci harbor genes that are likely to play a role – either directly or by affecting non-local gene expression – in human reproduction and infertility, thereby increasing our understanding of these complex traits. PMID:27798627

  2. 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.

  3. A meta-analysis of xeroderma pigmentosum gene D Ls751Gln polymorphism and susceptibility to hepatocellular carcinoma.

    Science.gov (United States)

    Wang, Yu; Zhao, Yingren; Zhang, Aiyun; Ma, Juan; Wang, Zhenzhen; Zhang, Xu

    2015-01-01

    Hepatocellular carcinoma (HCC) is one of most common malignant tumors worldwide, but with unclear mechanisms. Xeroderma pigmentosum gene D (XPD) is one important DNA damage repair gene and can be involved in protein mutation. Currently little has been known about XPD polymorphism and HCC susceptibility in Chinese people. This study used a meta-analysis approach to comprehensively investigate the correlation between XPD polymorphism and HCC susceptibility in Chinese population, based on previously published literatures. A computer retrieval system was used to collect all case-control studies about XPD Lys751Gln polymorphism and HCC susceptibility. Data in literatures were extracted for meta-analysis. After the primary screening, four independent studies, which were published in 3 English articles and one Chinese article, were recruited in this study. There were 1,717 samples included in all studies. Using Gln/Gln + Lys/Gln, Lys/Lys + Lys/Gln and Lys allels as the reference, HCC disease alleles including Lys/Lys, Gln/Gln and Gln had OR values (95% CI, I(2)) of 1.007 (0.657~4.672, 91%), 3.516 (0.220~20.661, 48%) and 3.225 (0.278~12.326, 84%), respectively. The polymorphism of XPD751 loci is closely correlated with primary HCC. Lys751Gln polymorphism of XPD gene can be used as one susceptibility factor for HCC.

  4. 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.

  5. 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.

  6. 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...

  7. 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

  8. 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

  9. Genetic analysis of 20 autosomal STR loci in the Miao ethnic group from Yunnan Province, Southwest China.

    Science.gov (United States)

    Zhang, Xiufeng; Hu, Liping; Du, Lei; Nie, Aiting; Rao, Min; Pang, Jing Bo; Xiran, Zeng; Nie, Shengjie

    2017-05-01

    The genetic polymorphisms of 20 autosomal short tandem repeat (STR) loci included in the PowerPlex ® 21 kit were evaluated from 748 unrelated healthy individuals of the Miao ethnic minority living in the Yunnan province in southwestern China. All of the loci reached Hardy-Weinberg equilibrium. These loci were examined to determine allele frequencies and forensic statistical parameters. The genetic relationship between the Miao population and other Chinese populations were also estimated. The combined discrimination power and probability of excluding paternity of the 20 STR loci were 0.999 999 999 999 999 999 999 991 26 and 0.999 999 975, respectively. The results suggested that the 20 STR loci were highly polymorphic, which makes them suitable for forensic personal identification and paternity testing. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. 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.

  11. Development of the 16 X-STR loci typing system and genetic analysis in a Shanghai Han population from China.

    Science.gov (United States)

    Sun, Kuan; Zhao, Shumin; Tian, Huaizhou; Zhang, Suhua; Li, Chengtao

    2013-11-01

    This study developed a new multiplex PCR system that simultaneously amplifies 16 X-STR loci in the same PCR reaction, and the polymorphism and mutation rates of these 16 X-STR loci were explored in a Shanghai Han population from China. These loci included DXS10134, DXS10159, DXS6789, DXS6795, DXS6800, DXS6803, DXS6807, DXS6810, DXS7132, DXS7424, DXS8378, DXS9902, GATA165B12, GATA172D05, GATA31E08, and HPRTB. Samples from 591 unrelated individuals (293 males and 298 females) and 400 two-generation families were successfully analyzed using this multiplex system. Allele frequencies and mutation rates of the 16 loci were investigated, with the comparison of allele frequency distributions among different populations performed. Polymorphism information contents of these loci were all >0.6440 except the locus DXS6800 (0.4706). Nine cases of mutations were detected in the 16 loci from the investigation of 9232 meioses. Pairwise comparisons of allele frequency distributions showed significant differences for most loci among populations from different countries and ethnic groups but not among the Han population living in other areas of China. These results suggest that the 16 X-STR loci system provides highly informative polymorphic data for paternity testing and forensic identification in the Han population in Shanghai, China, as a complementary tool. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  12. 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...

  13. 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

  14. A major QTL controls susceptibility to spinal curvature in the curveback guppy

    Directory of Open Access Journals (Sweden)

    Dreyer Christine

    2011-01-01

    Full Text Available Abstract Background Understanding the genetic basis of heritable spinal curvature would benefit medicine and aquaculture. Heritable spinal curvature among otherwise healthy children (i.e. Idiopathic Scoliosis and Scheuermann kyphosis accounts for more than 80% of all spinal curvatures and imposes a substantial healthcare cost through bracing, hospitalizations, surgery, and chronic back pain. In aquaculture, the prevalence of heritable spinal curvature can reach as high as 80% of a stock, and thus imposes a substantial cost through production losses. The genetic basis of heritable spinal curvature is unknown and so the objective of this work is to identify quantitative trait loci (QTL affecting heritable spinal curvature in the curveback guppy. Prior work with curveback has demonstrated phenotypic parallels to human idiopathic-type scoliosis, suggesting shared biological pathways for the deformity. Results A major effect QTL that acts in a recessive manner and accounts for curve susceptibility was detected in an initial mapping cross on LG 14. In a second cross, we confirmed this susceptibility locus and fine mapped it to a 5 cM region that explains 82.6% of the total phenotypic variance. Conclusions We identify a major QTL that controls susceptibility to curvature. This locus contains over 100 genes, including MTNR1B, a candidate gene for human idiopathic scoliosis. The identification of genes associated with heritable spinal curvature in the curveback guppy has the potential to elucidate the biological basis of spinal curvature among humans and economically important teleosts.

  15. 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.

  16. Genome-Wide Association Mapping of Loci Associated with Plant Growth and Forage Production under Salt Stress in Alfalfa (Medicago sativa L.

    Directory of Open Access Journals (Sweden)

    Xiang-Ping Liu

    2017-05-01

    Full Text Available Salinity tolerance is highly desirable to sustain alfalfa production in marginal lands that have been rendered saline. In this study, we used a diverse panel of 198 alfalfa accessions for mapping loci associated with plant growth and forage production under salt stress using genome-wide association studies (GWAS. The plants were genotyped using genotyping-by-sequencing (GBS. A greenhouse procedure was used for phenotyping four agronomic and physiological traits affected by salt stress, including dry weight (DW, plant height (PH, leaf chlorophyll content (LCC, and stomatal conductance (SC. For each trait, a stress susceptibility index (SSI was used to evaluate plant performance under stressed and non-stressed conditions. Marker-trait association identified a total of 42 markers significantly associated with salt tolerance. They were located on all chromosomes except chromosome 2 based on the alignment of their flanking sequences to the reference genome (Medicago truncatula. Of those identified, 13 were associated with multiple traits. Several loci identified in the present study were also identified in previous reports. BLAST search revealed that 19 putative candidate genes linked to 24 significant markers. Among them, B3 DNA-binding protein, Thiaminepyrophosphokinase and IQ calmodulin-binding motif protein were identified among multiple traits in the present and previous studies. With further investigation, these markers and candidates would be useful for developing markers for marker-assisted selection in breeding programs to improve alfalfa cultivars with enhanced tolerance to salt stress.

  17. 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 ...

  18. Positive Selection on Loci Associated with Drug and Alcohol Dependence.

    Directory of Open Access Journals (Sweden)

    Brooke Sadler

    Full Text Available Much of the evolution of human behavior remains a mystery, including how certain disadvantageous behaviors are so prevalent. Nicotine addiction is one such phenotype. Several loci have been implicated in nicotine related phenotypes including the nicotinic receptor gene clusters (CHRNs on chromosomes 8 and 15. Here we use 1000 Genomes sequence data from 3 populations (Africans, Asians and Europeans to examine whether natural selection has occurred at these loci. We used Tajima's D and the integrated haplotype score (iHS to test for evidence of natural selection. Our results provide evidence for strong selection in the nicotinic receptor gene cluster on chromosome 8, previously found to be significantly associated with both nicotine and cocaine dependence, as well as evidence selection acting on the region containing the CHRNA5 nicotinic receptor gene on chromosome 15, that is genome wide significant for risk for nicotine dependence. To examine the possibility that this selection is related to memory and learning, we utilized genetic data from the Collaborative Studies on the Genetics of Alcoholism (COGA to test variants within these regions with three tests of memory and learning, the Wechsler Adult Intelligence Scale (WAIS Block Design, WAIS Digit Symbol and WAIS Information tests. Of the 17 SNPs genotyped in COGA in this region, we find one significantly associated with WAIS digit symbol test results. This test captures aspects of reaction time and memory, suggesting that a phenotype relating to memory and learning may have been the driving force behind selection at these loci. This study could begin to explain why these seemingly deleterious SNPs are present at their current frequencies.

  19. Gene-wide analysis detects two new susceptibility genes for Alzheimer's Disease

    OpenAIRE

    Escott-Price, Valentina; Bellenguez, Céline; Wang, Li-San; Choi, Seung-Hoan; Harold, Denise; Jones, Lesley; Holmans, Peter Alan; Gerrish, Amy; Vedernikov, Alexey; Richards, Alexander; DeStefano, Anita L.; Lambert, Jean-Charles; Ibrahim-Verbaas, Carla A.; Naj, Adam C.; Sims, Rebecca

    2014-01-01

    PUBLISHED BACKGROUND: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over...

  20. Radiation-induced mutation at minisatellite loci

    International Nuclear Information System (INIS)

    Dubrova, Y.E.; Nesterov, V.N.; Krouchinsky, N.G.

    1997-01-01

    We are studying the radiation-induced increase of mutation rate in minisatellite loci in mice and humans. Minisatellite mutations were scored by multilocus DNA fingerprint analysis in the progeny of γ-irradiated and non-irradiated mice. The frequency of mutation in offspring of irradiated males was 1.7 higher that in the control group. Germline mutation at human minisatellite loci was studied among children born in heavily polluted areas of the Mogilev district of Belarus after the Chernobyl accident and in a control population. The frequency of mutation assayed both by DNA fingerprinting and by eight single locus probes was found to be two times higher in the exposed families than in the control group. Furthermore, mutation rate was correlated with the parental radiation dose for chronic exposure 137 Cs, consistent with radiation-induction of germline mutation. The potential use of minisatellites in monitoring germline mutation in humans will be discussed

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

    Science.gov (United States)

    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

    2016-11-01

    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 patients of European ancestry. We carried out a third GWAS (GWAS3) in European-ancestry subjects, with augmented GWAS1 and GWAS2 controls, genome-wide imputation, and meta-analysis of all three GWAS, followed by an independent replication. The combined analyses, with 4,680 cases and 39,586 controls, identified 23 new significantly associated loci and 7 suggestive loci. Most encode immune and apoptotic regulators, with some also associated with other autoimmune diseases, as well as several melanocyte regulators. Bioinformatic analyses indicate a predominance of causal regulatory variation, some of which corresponds to expression quantitative trait loci (eQTLs) at these loci. Together, the identified genes provide a framework for the genetic architecture and pathobiology of vitiligo, highlight relationships with other autoimmune diseases and melanoma, and offer potential targets for treatment.

  2. Type 1 diabetes susceptibility alleles are associated with distinct alterations in the gut microbiota.

    Science.gov (United States)

    Mullaney, Jane A; Stephens, Juliette E; Costello, Mary-Ellen; Fong, Cai; Geeling, Brooke E; Gavin, Patrick G; Wright, Casey M; Spector, Timothy D; Brown, Matthew A; Hamilton-Williams, Emma E

    2018-02-17

    Dysbiosis of the gut microbiota has been implicated in the pathogenesis of many autoimmune conditions including type 1 diabetes (T1D). It is unknown whether changes in the gut microbiota observed in T1D are due to environmental drivers, genetic risk factors, or both. Here, we have performed an analysis of associations between the gut microbiota and T1D genetic risk using the non-obese diabetic (NOD) mouse model of T1D and the TwinsUK cohort. Through the analysis of five separate colonies of T1D susceptible NOD mice, we identified similarities in NOD microbiome that were independent of animal facility. Introduction of disease protective alleles at the Idd3 and Idd5 loci (IL2, Ctla4, Slc11a1, and Acadl) resulted in significant alterations in the NOD microbiome. Disease-protected strains exhibited a restoration of immune regulatory pathways within the gut which could also be reestablished using IL-2 therapy. Increased T1D disease risk from IL-2 pathway loci in the TwinsUK cohort of human subjects resulted in some similar microbiota changes to those observed in the NOD mouse. These findings demonstrate for the first time that type 1 diabetes-associated genetic variants that restore immune tolerance to islet antigens also result in functional changes in the gut immune system and resultant changes in the microbiota.

  3. 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 ...

  4. 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.

  5. 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...

  6. Commentary on "identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array." Eeles RA, Olama AA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Ghoussaini M, Luccarini C, Dennis J, Jugurnauth-Little S, Dadaev T, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock SJ, Berndt SI, Albanes D, Andriole G, Schleutker J, Weischer M, Canzian F, Riboli E, Key TJ, Travis RC, Campa D, Ingles SA, John EM, Hayes RB, Pharoah PD, Pashayan N, Khaw KT, Stanford JL, Ostrander EA, Signorello LB, Thibodeau SN, Schaid D, Maier C, Vogel W, Kibel AS, Cybulski C, Lubinski J, Cannon-Albright L, Brenner H, Park JY, Kaneva R, Batra J, Spurdle AB, Clements JA, Teixeira MR, Dicks E, Lee A, Dunning AM, Baynes C, Conroy D, Maranian MJ, Ahmed S, Govindasami K, Guy M, Wilkinson RA, Sawyer EJ, Morgan A, Dearnaley DP, Horwich A, Huddart RA, Khoo VS, Parker CC, Van As NJ, Woodhouse CJ, Thompson A, Dudderidge T, Ogden C, Cooper CS, Lophatananon A, Cox A, Southey MC, Hopper JL, English DR, Aly M, Adolfsson J, Xu J, Zheng SL, Yeager M, Kaaks R, Diver WR, Gaudet MM, Stern MC, Corral R, Joshi AD, Shahabi A, Wahlfors T, Tammela TL, Auvinen A, Virtamo J, Klarskov P, Nordestgaard BG, Røder MA, Nielsen SF, Bojesen SE, Siddiq A, Fitzgerald LM, Kolb S, Kwon EM, Karyadi DM, Blot WJ, Zheng W, Cai Q, McDonnell SK, Rinckleb AE, Drake B, Colditz G, Wokolorczyk D, Stephenson RA, Teerlink C, Muller H, Rothenbacher D, Sellers TA, Lin HY, Slavov C, Mitev V, Lose F, Srinivasan S, Maia S, Paulo P, Lange E, Cooney KA, Antoniou AC, Vincent D, Bacot F, Tessier DC; COGS-Cancer Research UK GWAS-ELLIPSE (part of GAME-ON) Initiative; Australian Prostate Cancer Bioresource; UK Genetic Prostate Cancer Study Collaborators/British Association of Urological Surgeons' Section of Oncology; UK ProtecT (Prostate testing for cancer and Treatment

    Science.gov (United States)

    Olumi, Aria F

    2014-02-01

    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. Copyright © 2014 Elsevier Inc. All rights reserved.

  7. Classification of Korean native pear based on a standard set of microsatellite loci

    Science.gov (United States)

    After analysis with 12 microsatellite loci previously selected for use by ECPGR, 34 Korean pear accessions were classified into 3 groups. Group I included 4 Korean pea pears and one accession of P. calleryana. Group II contained 12 cultivars including 7 accessions presumed to belong to P. pyrifolia....

  8. Genetic architecture of intrinsic antibiotic susceptibility.

    Directory of Open Access Journals (Sweden)

    Hany S Girgis

    2009-05-01

    Full Text Available Antibiotic exposure rapidly selects for more resistant bacterial strains, and both a drug's chemical structure and a bacterium's cellular network affect the types of mutations acquired.To better characterize the genetic determinants of antibiotic susceptibility, we exposed a transposon-mutagenized library of Escherichia coli to each of 17 antibiotics that encompass a wide range of drug classes and mechanisms of action. Propagating the library for multiple generations with drug concentrations that moderately inhibited the growth of the isogenic parental strain caused the abundance of strains with even minor fitness advantages or disadvantages to change measurably and reproducibly. Using a microarray-based genetic footprinting strategy, we then determined the quantitative contribution of each gene to E. coli's intrinsic antibiotic susceptibility. We found both loci whose removal increased general antibiotic tolerance as well as pathways whose down-regulation increased tolerance to specific drugs and drug classes. The beneficial mutations identified span multiple pathways, and we identified pairs of mutations that individually provide only minor decreases in antibiotic susceptibility but that combine to provide higher tolerance.Our results illustrate that a wide-range of mutations can modulate the activity of many cellular resistance processes and demonstrate that E. coli has a large mutational target size for increasing antibiotic tolerance. Furthermore, the work suggests that clinical levels of antibiotic resistance might develop through the sequential accumulation of chromosomal mutations of small individual effect.

  9. Impact of type 2 diabetes susceptibility variants on quantitative glycemic traits reveals mechanistic heterogeneity

    DEFF Research Database (Denmark)

    Dimas, Antigone S; Lagou, Vasiliki; Barker, Adam

    2013-01-01

    Patients with established type 2 diabetes display both beta-cell dysfunction and insulin resistance. To define fundamental processes leading to the diabetic state, we examined the relationship between type 2 diabetes risk variants at 37 established susceptibility loci and indices of proinsulin pr...

  10. Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility

    DEFF Research Database (Denmark)

    Sud, Amit; Thomsen, Hauke; Law, Philip J.

    2017-01-01

    Several susceptibility loci for classical Hodgkin lymphoma have been reported. However, much of the heritable risk is unknown. Here, we perform a meta-analysis of two existing genome-wide association studies, a new genome-wide association study, and replication totalling 5,314 cases and 16,749 co...

  11. Genome-wide association study for ovarian cancer susceptibility using pooled DNA.

    NARCIS (Netherlands)

    Lu, Y.; Chen, X.; Beesley, J.; Johnatty, S.E.; Defazio, A.; Lambrechts, S.; Lambrechts, D.; Despierre, E.; Vergotes, I.; Chang-Claude, J.; Hein, R.; Nickels, S.; Wang-Gohrke, S.; Dork, T.; Durst, M.; Antonenkova, N.; Bogdanova, N.; Goodman, M.T.; Lurie, G.; Wilkens, L.R.; Carney, M.E.; Butzow, R.; Nevanlinna, H.; Heikkinen, T.; Leminen, A.; Kiemeney, L.A.L.M.; Massuger, L.F.A.G.; Altena, A.M. van; Aben, K.K.H.; Kjaer, S.K.; Hogdall, E.; Jensen, A.; Brooks-Wilson, A.; Le, N.; Cook, L.; Earp, M.; Kelemen, L.; Easton, D.; Pharoah, P.; Song, H.; Tyrer, J.; Ramus, S.; Menon, U.; Gentry-Maharaj, A.; Gayther, S.A.; Bandera, E.V.; Olson, S.H.; Orlow, I.; Rodriguez-Rodriguez, L.; MacGregor, S.; Chenevix-Trench, G.

    2012-01-01

    Recent Genome-Wide Association Studies (GWAS) have identified four low-penetrance ovarian cancer susceptibility loci. We hypothesized that further moderate- or low-penetrance variants exist among the subset of single-nucleotide polymorphisms (SNPs) not well tagged by the genotyping arrays used in

  12. Mapping of gene expression reveals CYP27A1 as a susceptibility gene for sporadic ALS

    NARCIS (Netherlands)

    F.P. Diekstra (Frank); C.G.J. Saris (Christiaan); W. van Rheenen (Wouter); L. Franke (Lude); R.C. Jansen (Ritsert); M.A. van Es (Michael); K. Estrada Gil (Karol); P.W.J. van Vught (Paul); H.M. Blauw (Hylke); E.J.N. Groen (Ewout); S. Horvath (Steve); K. Estrada Gil (Karol); F. Rivadeneira Ramirez (Fernando); A. Hofman (Albert); A.G. Uitterlinden (André); W. Robberecht (Wim); P.M. Andersen (Peter); J. Melki (Judith); V. Meininger (Vincent); O. Hardiman (Orla); J.E. Landers (John); R.H. Brown (Robert); A. Shatunov (Aleksey); C.E. Shaw (Christopher); P.N. Leigh (Nigel); A. Al-Chalabi (Ammar); R.A. Ophoff (Roel); L.H. van den Berg (Leonard); J.H. Veldink (Jan)

    2012-01-01

    textabstractAmyotrophic lateral sclerosis (ALS) is a progressive, neurodegenerative disease characterized by loss of upper and lower motor neurons. ALS is considered to be a complex trait and genome-wide association studies (GWAS) have implicated a few susceptibility loci. However, many more causal

  13. Genome-wide association study of classical Hodgkin lymphoma identifies key regulators of disease susceptibility

    NARCIS (Netherlands)

    Sud, A. (Amit); Thomsen, H. (Hauke); Law, P.J. (Philip J.); A. Försti (Asta); Filho, M.I.D.S. (Miguel Inacio Da Silva); Holroyd, A. (Amy); P. Broderick (Peter); Orlando, G. (Giulia); Lenive, O. (Oleg); Wright, L. (Lauren); R. Cooke (Rosie); D.F. Easton (Douglas); P.D.P. Pharoah (Paul); A.M. Dunning (Alison); J. Peto (Julian); F. Canzian (Federico); Eeles, R. (Rosalind); Z. Kote-Jarai; K.R. Muir (K.); Pashayan, N. (Nora); B.E. Henderson (Brian); C.A. Haiman (Christopher); S. Benlloch (Sara); F.R. Schumacher (Fredrick R); Olama, A.A.A. (Ali Amin Al); S.I. Berndt (Sonja); G. Conti (Giario); F. Wiklund (Fredrik); S.J. Chanock (Stephen); Stevens, V.L. (Victoria L.); C.M. Tangen (Catherine M.); Batra, J. (Jyotsna); Clements, J. (Judith); H. Grönberg (Henrik); Schleutker, J. (Johanna); D. Albanes (Demetrius); Weinstein, S. (Stephanie); K. Wolk (Kerstin); West, C. (Catharine); Mucci, L. (Lorelei); Cancel-Tassin, G. (Géraldine); Koutros, S. (Stella); Sorensen, K.D. (Karina Dalsgaard); L. Maehle; D. Neal (David); S.P.L. Travis (Simon); Hamilton, R.J. (Robert J.); S.A. Ingles (Sue); B.S. Rosenstein (Barry S.); Lu, Y.-J. (Yong-Jie); Giles, G.G. (Graham G.); A. Kibel (Adam); Vega, A. (Ana); M. Kogevinas (Manolis); Penney, K.L. (Kathryn L.); Park, J.Y. (Jong Y.); Stanford, J.L. (Janet L.); C. Cybulski (Cezary); B.G. Nordestgaard (Børge); Brenner, H. (Hermann); Maier, C. (Christiane); Kim, J. (Jeri); E.M. John (Esther); P.J. Teixeira; Neuhausen, S.L. (Susan L.); De Ruyck, K. (Kim); Razack, A. (Azad); Newcomb, L.F. (Lisa F.); Lessel, D. (Davor); Kaneva, R. (Radka); N. Usmani (Nawaid); F. Claessens; Townsend, P.A. (Paul A.); Dominguez, M.G. (Manuela Gago); Roobol, M.J. (Monique J.); F. Menegaux (Florence); P. Hoffmann (Per); M.M. Nöthen (Markus); K.-H. JöCkel (Karl-Heinz); Strandmann, E.P.V. (Elke Pogge Von); Lightfoot, T. (Tracy); Kane, E. (Eleanor); Roman, E. (Eve); Lake, A. (Annette); Montgomery, D. (Dorothy); Jarrett, R.F. (Ruth F.); A.J. Swerdlow (Anthony ); A. Engert (Andreas); N. Orr (Nick); K. Hemminki (Kari); Houlston, R.S. (Richard S.)

    2017-01-01

    textabstractSeveral susceptibility loci for classical Hodgkin lymphoma have been reported. However, much of the heritable risk is unknown. Here, we perform a meta-analysis of two existing genome-wide association studies, a new genome-wide association study, and replication totalling 5,314 cases and

  14. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21

    NARCIS (Netherlands)

    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; Le Marchand, 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

  15. In-silico analysis of inflammatory bowel disease (IBD GWAS loci to novel connections.

    Directory of Open Access Journals (Sweden)

    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.

  16. 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.

  17. 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

  18. Genetic changes associated with testicular cancer susceptibility.

    Science.gov (United States)

    Pyle, Louise C; Nathanson, Katherine L

    2016-10-01

    Testicular germ cell tumor (TGCT) is a highly heritable cancer primarily affecting young white men. Genome-wide association studies (GWAS) have been particularly effective in identifying multiple common variants with strong contribution to TGCT risk. These loci identified through association studies have implicated multiple genes as associated with TGCT predisposition, many of which are unique among cancer types, and regulate processes such as pluripotency, sex specification, and microtubule assembly. Together these biologically plausible genes converge on pathways involved in male germ cell development and maturation, and suggest that perturbation of them confers susceptibility to TGCT, as a developmental defect of germ cell differentiation. Copyright © 2016 Elsevier Inc. All rights reserved.

  19. Susceptible-infected-recovered and susceptible-exposed-infected models

    International Nuclear Information System (INIS)

    Tome, Tania; De Oliveira, Mario J

    2011-01-01

    Two stochastic epidemic lattice models, the susceptible-infected-recovered and the susceptible-exposed-infected models, are studied on a Cayley tree of coordination number k. The spreading of the disease in the former is found to occur when the infection probability b is larger than b c = k/2(k - 1). In the latter, which is equivalent to a dynamic site percolation model, the spreading occurs when the infection probability p is greater than p c = 1/(k - 1). We set up and solve the time evolution equations for both models and determine the final and time-dependent properties, including the epidemic curve. We show that the two models are closely related by revealing that their relevant properties are exactly mapped into each other when p = b/[k - (k - 1)b]. These include the cluster size distribution and the density of individuals of each type, quantities that have been determined in closed forms.

  20. Genetic loci involved in antibody response to Mycobacterium avium ssp. paratuberculosis in cattle.

    Directory of Open Access Journals (Sweden)

    Giulietta Minozzi

    Full Text Available BACKGROUND: Mycobacterium avium subsp. paratuberculosis (MAP causes chronic enteritis in a wide range of animal species. In cattle, MAP causes a chronic disease called Johne's disease, or paratuberculosis, that is not treatable and the efficacy of vaccine control is controversial. The clinical phase of the disease is characterised by diarrhoea, weight loss, drop in milk production and eventually death. Susceptibility to MAP infection is heritable with heritability estimates ranging from 0.06 to 0.10. There have been several studies over the last few years that have identified genetic loci putatively associated with MAP susceptibility, however, with the availability of genome-wide high density SNP maker panels it is now possible to carry out association studies that have higher precision. METHODOLOGY/PRINCIPAL FINDINGS: The objective of the current study was to localize genes having an impact on Johne's disease susceptibility using the latest bovine genome information and a high density SNP panel (Illumina BovineSNP50 BeadChip to perform a case/control, genome-wide association analysis. Samples from MAP case and negative controls were selected from field samples collected in 2007 and 2008 in the province of Lombardy, Italy. Cases were defined as animals serologically positive for MAP by ELISA. In total 966 samples were genotyped: 483 MAP ELISA positive and 483 ELISA negative. Samples were selected randomly among those collected from 119 farms which had at least one positive animal. CONCLUSION/SIGNIFICANCE: THE ANALYSIS OF THE GENOTYPE DATA IDENTIFIED SEVERAL CHROMOSOMAL REGIONS ASSOCIATED WITH DISEASE STATUS: a region on chromosome 12 with high significance (P<5x10(-6, while regions on chromosome 9, 11, and 12 had moderate significance (P<5x10(-5. These results provide evidence for genetic loci involved in the humoral response to MAP. Knowledge of genetic variations related to susceptibility will facilitate the incorporation of this information

  1. Evolution of Microsatellite Loci of Tropical and Temperate Anguilla Eels

    Directory of Open Access Journals (Sweden)

    Mei-Chen Tseng

    2012-04-01

    Full Text Available Anguilla eels are divided into temperate and tropical eels, based on their major distributions. The present study collected two temperate eels, Anguilla japonica and Anguilla anguilla, and two tropical eels, Anguilla marmorata and Anguilla bicolor pacifica, to examine two questions: do temperate and tropical Anguilla eels have different genetic polymorphic patterns?; and do temperate Anguilla japonica and Anguilla anguilla have a closer relationship to each other than to tropical eels? In total, 274 sequences were cloned and sequenced from six conserved microsatellite loci to examine polymorphic patterns of these four catadromous eels. Different mutational events, including substitutions, and repeat-unit deletions and insertions, appeared in major regions, while different point mutations were observed in flanking regions. The results implied that parallel patterns of microsatellite sequences occurred within both tropical and temperate freshwater eels. Consensus flanking sequences of six homologous loci from each of the four species were constructed. Genetic distances ranged from 0.044 (Anguilla bicolor pacifica vs. Anguilla marmorata to 0.061 (Anguilla marmorata vs. Anguilla anguilla. The tree topology suggests the hypothesis of Anguilla japonica and Anguilla anguilla being a sister group must be rejected.

  2. Discovery of novel heart rate-associated loci using the Exome Chip

    DEFF Research Database (Denmark)

    van den Berg, Marten E; Warren, Helen R; Cabrera, Claudia P

    2017-01-01

    Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. Genome-wide association study analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9% of the variation. This study aims to di......) and fetal muscle samples by including our novel variants.Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies....

  3. 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....

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

    NARCIS (Netherlands)

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

    2015-01-01

    textabstractEczema often precedes the development of asthma in a disease course called the a '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

  5. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

    NARCIS (Netherlands)

    Schunkert, Heribert; König, Inke R.; Kathiresan, Sekar; Reilly, Muredach P.; Assimes, Themistocles L.; Holm, Hilma; Preuss, Michael; Stewart, Alexandre F. R.; Barbalic, Maja; Gieger, Christian; Absher, Devin; Aherrahrou, Zouhair; Allayee, Hooman; Altshuler, David; Anand, Sonia S.; Andersen, Karl; Anderson, Jeffrey L.; Ardissino, Diego; Ball, Stephen G.; Balmforth, Anthony J.; Barnes, Timothy A.; Becker, Diane M.; Becker, Lewis C.; Berger, Klaus; Bis, Joshua C.; Boekholdt, S. Matthijs; Boerwinkle, Eric; Braund, Peter S.; Brown, Morris J.; Burnett, Mary Susan; Buysschaert, Ian; Carlquist, John F.; Chen, Li; Cichon, Sven; Codd, Veryan; Davies, Robert W.; Dedoussis, George; Dehghan, Abbas; Demissie, Serkalem; Devaney, Joseph M.; Diemert, Patrick; Do, Ron; Doering, Angela; Eifert, Sandra; Mokhtari, Nour Eddine El; Ellis, Stephen G.; Elosua, Roberto; Engert, James C.; Epstein, Stephen E.; de Faire, Ulf; Fischer, Marcus; Folsom, Aaron R.; Freyer, Jennifer; Gigante, Bruna; Girelli, Domenico; Gretarsdottir, Solveig; Gudnason, Vilmundur; Gulcher, Jeffrey R.; Halperin, Eran; Hammond, Naomi; Hazen, Stanley L.; Hofman, Albert; Horne, Benjamin D.; Illig, Thomas; Iribarren, Carlos; Jones, Gregory T.; Jukema, J. Wouter; Kaiser, Michael A.; Kaplan, Lee M.; Kastelein, John J. P.; Khaw, Kay-Tee; Knowles, Joshua W.; Kolovou, Genovefa; Kong, Augustine; Laaksonen, Reijo; Lambrechts, Diether; Leander, Karin; Lettre, Guillaume; Li, Mingyao; Lieb, Wolfgang; Loley, Christina; Lotery, Andrew J.; Mannucci, Pier M.; Maouche, Seraya; Martinelli, Nicola; McKeown, Pascal P.; Meisinger, Christa; Meitinger, Thomas; Melander, Olle; Merlini, Pier Angelica; Mooser, Vincent; Morgan, Thomas; Mühleisen, Thomas W.; Muhlestein, Joseph B.; Münzel, Thomas; Musunuru, Kiran; Nahrstaedt, Janja; Nelson, Christopher P.; Nöthen, Markus M.; Olivieri, Oliviero; Patel, Riyaz S.; Patterson, Chris C.; Peters, Annette; Peyvandi, Flora; Qu, Liming; Quyyumi, Arshed A.; Rader, Daniel J.; Rallidis, Loukianos S.; Rice, Catherine; Rosendaal, Frits R.; Rubin, Diana; Salomaa, Veikko; Sampietro, M. Lourdes; Sandhu, Manj S.; Schadt, Eric; Schäfer, Arne; Schillert, Arne; Schreiber, Stefan; Schrezenmeir, Jürgen; Schwartz, Stephen M.; Siscovick, David S.; Sivananthan, Mohan; Sivapalaratnam, Suthesh; Smith, Albert; Smith, Tamara B.; Snoep, Jaapjan D.; Soranzo, Nicole; Spertus, John A.; Stark, Klaus; Stirrups, Kathy; Stoll, Monika; Tang, W. H. Wilson; Tennstedt, Stephanie; Thorgeirsson, Gudmundur; Thorleifsson, Gudmar; Tomaszewski, Maciej; Uitterlinden, Andre G.; van Rij, Andre M.; Voight, Benjamin F.; Wareham, Nick J.; Wells, George A.; Wichmann, H.-Erich; Wild, Philipp S.; Willenborg, Christina; Witteman, Jaqueline C. M.; Wright, Benjamin J.; Ye, Shu; Zeller, Tanja; Ziegler, Andreas; Cambien, Francois; Goodall, Alison H.; Cupples, L. Adrienne; Quertermous, Thomas; März, Winfried; Hengstenberg, Christian; Blankenberg, Stefan; Ouwehand, Willem H.; Hall, Alistair S.; Deloukas, Panos; Thompson, John R.; Stefansson, Kari; Roberts, Robert; Thorsteinsdottir, Unnur; O'Donnell, Christopher J.; McPherson, Ruth; Erdmann, Jeanette; Samani, Nilesh J.

    2011-01-01

    We performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis identified 13

  6. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

    NARCIS (Netherlands)

    H. Schunkert (Heribert); I.R. König (Inke); S. Kathiresan (Sekar); M.P. Reilly (Muredach); T.L. Assimes (Themistocles); H. Holm (Hilma); M. Preuss (Michael); A.F.R. Stewart (Alexandre); M. Barbalic (maja); C. Gieger (Christian); D. Absher (Devin); Z. Aherrahrou (Zouhair); H. Allayee (Hooman); D. Altshuler (David); S.S. Anand (Sonia); K.K. Andersen (Karl); J.L. Anderson (Jeffrey); D. Ardissino (Diego); S.G. Ball (Stephen); A.J. Balmforth (Anthony); T.A. Barnes (Timothy); D.M. Becker (Diane); K. Berger (Klaus); J.C. Bis (Joshua); S.M. Boekholdt (Matthijs); E.A. Boerwinkle (Eric); P.S. Braund (Peter); M.J. Brown (Morris); M.S. Burnett; I. Buysschaert (Ian); J.F. Carlquist (John); L. Chen (Li); S. Cichon (Sven); V. Codd (Veryan); R.W. Davies (Robert); G.V. Dedoussis (George); A. Dehghan (Abbas); S. Demissie (Serkalem); J. Devaney (Joseph); P. Diemert (Patrick); R. Do (Ron); A. Doering (Angela); S. Eifert (Sandra); N.E.E. Mokhtari; S.G. Ellis (Stephen); R. Elosua (Roberto); J.C. Engert (James); S.E. Epstein (Stephen); U. de Faire (Ulf); M. Fischer (Marcus); A.R. Folsom (Aaron); J. Freyer (Jennifer); B. Gigante (Bruna); D. Girelli (Domenico); S. Gretarsdottir (Solveig); V. Gudnason (Vilmundur); J.R. Gulcher (Jeffrey); E. Halperin (Eran); N. Hammond (Naomi); S.L. Hazen (Stanley); A. Hofman (Albert); B.D. Horne (Benjamin); T. Illig (Thomas); C. Iribarren (Carlos); G.T. Jones (Gregory); J.W. Jukema (Jan Wouter); M.A. Kaiser (Michael); R.C. Kaplan (Robert); K-T. Khaw (Kay-Tee); J.W. Knowles (Joshua); G. Kolovou (Genovefa); A. Kong (Augustine); R. Laaksonen (Reijo); D. Lambrechts (Diether); K. Leander (Karin); G. Lettre (Guillaume); X. Li (Xiaohui); W. Lieb (Wolfgang); C. Loley (Christina); A.J. Lotery (Andrew); P.M. Mannucci (Pier); S. Maouche (Seraya); N. Martinelli (Nicola); P.P. McKeown (Pascal); C. Meisinger (Christa); T. Meitinger (Thomas); O. Melander (Olle); P.A. Merlini; V. Mooser (Vincent); T. Morgan (Thomas); T.W. Mühleisen (Thomas); J.B. Muhlestein (Joseph); T. Münzel (Thomas); K. Musunuru (Kiran); J. Nahrstaedt (Janja); C.P. Nelson (Christopher P.); M.M. Nöthen (Markus); O. Olivieri (Oliviero); R.S. Patel (Riyaz); C.C. Patterson (Chris); A. Peters (Annette); F. Peyvandi (Flora); L. Qu (Liming); A.A. Quyyumi (Arshed); D.J. Rader (Daniel); L.S. Rallidis (Loukianos); C. Rice (Catherine); F.R. Rosendaal (Frits); D. Rubin (Diana); V. Salomaa (Veikko); M.L. Sampietro (Maria Lourdes); M.S. Sandhu (Manj); E.E. Schadt (Eric); A. Scḧsignfer (Arne); A. Schillert (Arne); S. Schreiber (Stefan); J. Schrezenmeir (Jürgen); S.M. Schwartz (Stephen); D.S. Siscovick (David); M. Sivananthan (Mohan); S. Sivapalaratnam (Suthesh); A.V. Smith (Albert Vernon); J.D. Snoep (Jaapjan); N. Soranzo (Nicole); J.A. Spertus (John); K. Stark (Klaus); K. Stirrups (Kathy); M. Stoll (Monika); W.H.W. Tang (Wilson); S. Tennstedt (Stephanie); G. Thorgeirsson (Gudmundur); G. Thorleifsson (Gudmar); M. Tomaszewski (Maciej); A.G. Uitterlinden (André); A.M. van Rij (Andre); B.F. Voight (Benjamin); N.J. Wareham (Nick); G.A. Wells (George); H.E. Wichmann (Heinz Erich); P.S. Wild (Philipp); C. Willenborg (Christina); J.C.M. Witteman (Jacqueline); B.J. Wright (Benjamin); S. Ye (Shu); T. Zeller (Tanja); A. Ziegler (Andreas); F. Cambien (François); A.H. Goodall (Alison); L.A. Cupples (Adrienne); T. Quertermous (Thomas); W. Mäsignrz (Winfried); C. Hengstenberg (Christian); S. Blankenberg (Stefan); W.H. Ouwehand (Willem); A.S. Hall (Alistair); J.J.P. Kastelein (John); P. Deloukas (Panagiotis); J.R. Thompson (John); K. Stefansson (Kari); R. Roberts (Robert); U. Thorsteinsdottir (Unnur); C.J. O'Donnell (Christopher); R. McPherson (Ruth); J. Erdmann (Jeanette); N.J. Samani (Nilesh)

    2011-01-01

    textabstractWe performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis

  7. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

    DEFF Research Database (Denmark)

    Gormley, Padhraig; Anttila, Verneri; Winsvold, Bendik S

    2016-01-01

    Migraine is a debilitating neurological disorder affecting around one in seven people worldwide, but its molecular mechanisms remain poorly understood. There is some debate about whether migraine is a disease of vascular dysfunction or a result of neuronal dysfunction with secondary vascular chan...

  8. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    DEFF Research Database (Denmark)

    Voight, Benjamin F; Scott, Laura J; Steinthorsdottir, Valgerdur

    2010-01-01

    By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals...

  9. A search for susceptibility loci for anorexia nervosa: methods and sample description.

    Science.gov (United States)

    Kaye, W H; Lilenfeld, L R; Berrettini, W H; Strober, M; Devlin, B; Klump, K L; Goldman, D; Bulik, C M; Halmi, K A; Fichter, M M; Kaplan, A; Woodside, D B; Treasure, J; Plotnicov, K H; Pollice, C; Rao, R; McConaha, C W

    2000-05-01

    Eating disorders have not traditionally been viewed as heritable illnesses; however, recent family and twin studies lend credence to the potential role of genetic transmission. The Price Foundation funded an international, multisite study to identify genetic factors contributing to the pathogenesis of anorexia nervosa (AN) by recruiting affective relative pairs. This article is an overview of study methods and the clinical characteristics of the sample. All probands met modified DSM-IV criteria for AN; all affected first, second, and third degree relatives met DSM-IV criteria for AN, bulimia nervosa (BN), or eating disorder not otherwise specified (NOS). Probands and affected relatives were assessed diagnostically with the Structured Interview for Anorexia and Bulimia. DNA was collected from probands, affected relatives and a subset of their biological parents. Assessments were obtained from 196 probands and 237 affected relatives, over 98% of whom are of Caucasian ancestry. Overall, there were 229 relative pairs who were informative for linkage analysis. Of the proband-relative pairs, 63% were AN-AN, 20% were AN-BN, and 16% were AN-NOS. For family-based association analyses, DNA has been collected from both biological parents of 159 eating-disordered subjects. Few significant differences in demographic characteristics were found between proband and relative groups. The present study represents the first large-scale molecular genetic investigation of AN. Our successful recruitment of over 500 subjects, consisting of affected probands, affected relatives, and their biological parents, will provide the basis to investigate genetic transmission of eating disorders via a genome scan and assessment of candidate genes.

  10. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    NARCIS (Netherlands)

    B.F. Voight (Benjamin); L.J. Scott (Laura); V. Steinthorsdottir (Valgerdur); A.D. Morris (Andrew); C. Dina (Christian); R.P. Welch (Ryan); E. Zeggini (Eleftheria); C. Huth (Cornelia); Y.S. Aulchenko (Yurii); G. Thorleifsson (Gudmar); L.J. McCulloch (Laura); T. Ferreira (Teresa); H. Grallert (Harald); N. Amin (Najaf); G. Wu (Guanming); C.J. Willer (Cristen); S. Raychaudhuri (Soumya); S.A. McCarroll (Steven); C. Langenberg (Claudia); O.M. Hofmann (Oliver); J. Dupuis (Josée); L. Qi (Lu); A.V. Segrè (Ayellet); M. van Hoek (Mandy); P. Navarro (Pau); K.G. Ardlie (Kristin); B. Balkau (Beverley); R. Benediktsson (Rafn); A.J. Bennett (Amanda); R. Blagieva (Roza); E.A. Boerwinkle (Eric); L.L. Bonnycastle (Lori); K.B. Boström (Kristina Bengtsson); B. Bravenboer (Bert); S. Bumpstead (Suzannah); N.P. Burtt (Noël); G. Charpentier (Guillaume); P.S. Chines (Peter); M. Cornelis (Marilyn); D.J. Couper (David); G. Crawford (Gabe); A.S.F. Doney (Alex); K.S. Elliott (Katherine); M.R. Erdos (Michael); C.S. Fox (Caroline); C.S. Franklin (Christopher); M. Ganser (Martha); C. Gieger (Christian); N. Grarup (Niels); T. Green (Todd); S. Griffin (Simon); C.J. Groves (Christopher); C. Guiducci (Candace); S. Hadjadj (Samy); N. Hassanali (Neelam); C. Herder (Christian); B. Isomaa (Bo); A.U. Jackson (Anne); P.R.V. Johnson (Paul); T. Jørgensen (Torben); W.H.L. Kao (Wen); N. Klopp (Norman); A. Kong (Augustine); P. Kraft (Peter); J. Kuusisto (Johanna); T. Lauritzen (Torsten); M. Li (Man); A. Lieverse (Aloysius); C.M. Lindgren (Cecilia); V. Lyssenko (Valeriya); M. Marre (Michel); T. Meitinger (Thomas); K. Midthjell (Kristian); M.A. Morken (Mario); N. Narisu (Narisu); P. Nilsson (Peter); K.R. Owen (Katharine); F. Payne (Felicity); J.R.B. Perry (John); A.K. Petersen; C. Platou (Carl); C. Proença (Christine); I. Prokopenko (Inga); W. Rathmann (Wolfgang); N.W. Rayner (Nigel William); N.R. Robertson (Neil); G. Rocheleau (Ghislain); M. Roden (Michael); M.J. Sampson (Michael); R. Saxena (Richa); B.M. Shields (Beverley); P. Shrader (Peter); G. Sigurdsson (Gunnar); T. Sparsø (Thomas); K. Strassburger (Klaus); H.M. Stringham (Heather); Q. Sun (Qi); A.J. Swift (Amy); B. Thorand (Barbara); J. Tichet (Jean); T. Tuomi (Tiinamaija); R.M. van Dam (Rob); T.W. van Haeften (Timon); T.W. van Herpt (Thijs); J.V. van Vliet-Ostaptchouk (Jana); G.B. Walters (Bragi); M.N. Weedon (Michael); C. Wijmenga (Cisca); J.C.M. Witteman (Jacqueline); R.N. Bergman (Richard); S. Cauchi (Stephane); F.S. Collins (Francis); A.L. Gloyn (Anna); U. Gyllensten (Ulf); T. Hansen (Torben); W.A. Hide (Winston); G.A. Hitman (Graham); A. Hofman (Albert); D. Hunter (David); K. Hveem (Kristian); M. Laakso (Markku); K.L. Mohlke (Karen); C.N.A. Palmer (Colin); P.P. Pramstaller (Peter Paul); I. Rudan (Igor); E.J.G. Sijbrands (Eric); L.D. Stein (Lincoln); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); M. Walker (Mark); N.J. Wareham (Nick); G.R. Abecasis (Gonçalo); B.O. Boehm (Bernhard); H. Campbell (Harry); M.J. Daly (Mark); A.T. Hattersley (Andrew); F.B. Hu (Frank); J.B. Meigs (James); J.S. Pankow (James); O. Pedersen (Oluf); H.E. Wichmann (Erich); I.E. Barroso (Inês); J.C. Florez (Jose); T.M. Frayling (Timothy); L. Groop (Leif); R. Sladek (Rob); U. Thorsteinsdottir (Unnur); J.F. Wilson (James); T. Illig (Thomas); P. Froguel (Philippe); P. Tikka-Kleemola (Päivi); J-A. Zwart (John-Anker); D. Altshuler (David); M. Boehnke (Michael); M.I. McCarthy (Mark); R.M. Watanabe (Richard)

    2010-01-01

    textabstractBy combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals

  11. Genetics of susceptibility to leishmaniasis in mice: four novel loci and functional heterogeneity of gene effects

    Czech Academy of Sciences Publication Activity Database

    Havelková, Helena; Badalová, Jana; Svobodová, M.; Vojtíšková, Jarmila; Kurey, Irina; Vladimirov, Vladimir; Demant, P.; Lipoldová, Marie

    2006-01-01

    Roč. 7, č. 3 (2006), s. 220-233 ISSN 1466-4879 R&D Projects: GA ČR(CZ) GA310/03/1381; GA ČR(CZ) GD310/03/H147 Grant - others:HHMI(US) 55000323 Institutional research plan: CEZ:AV0Z50520514 Keywords : leishmania sis * host response * gene effect Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 4.533, year: 2006

  12. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

    NARCIS (Netherlands)

    A.M. Gormley; H. Stefansson (Hreinn); B.S. Winsvold (Bendik); P. Palta (Priit); T. Esko (Tõnu); T.H. Pers (Tune); K.-H. Farh (Kai-How); Cuenca-Leon, E. (Ester); Muona, M. (Mikko); Furlotte, N.A. (Nicholas A.); K.H. Kurth (Karl); A. Ingason (Andres); G. Mcmahon (George); L. Ligthart (Lannie); G.M. Terwindt (Gisela); U. Todt (Unda); B. Müller-Myhsok (Bertram); Ran, C. (Caroline); Gordon, S.G. (Scott G.); A.H. Stam (Anine); S. Steinberg (Stacy); H. Göbel (Hartmut); M. Koiranen (Markku); L. Quaye (Lydia); Adams, H.H.H. (Hieab H.H.); T. Lehtimäki (Terho); A.-P. Sarin; Wedenoja, J. (Juho); D.A. Hinds (David A.); Buring, J.E. (Julie E.); M. Schürks (Markus); P.M. Ridker (Paul); Hrafnsdottir, M.G. (Maria Gudlaug); H. Stefansson (Hreinn); S.M. Ring (Susan); J.J. Hottenga (Jouke Jan); B.W.J.H. Penninx (Brenda); M. Färkkilä (Markus); V. Artto (Ville); E. Hämäläinen (Eija); S. Lucae (Susanne); R. Malik (Rainer); A.C. Heath (Andrew C.); P.A. Madden (Pamela); N.G. Martin (Nicholas); G.W. Montgomery (Grant); Kurki, M.I. (Mitja I.); M. Kals (Mart); R. Mägi (Reedik); Pärn, K. (Kalle); E. Hamalainen (Eija); Huang, H. (Hailiang); Byrnes, A.E. (Andrea E.); L. Franke (Lude); J. Huang (Jian); E. Stergiakouli (Evangelia); P.H. Lee (Phil); Sandor, C. (Cynthia); Webber, C. (Caleb); Cader, Z. (Zameel); B. Müller-Myhsok (B.); S. Schreiber (Stefan); T. Meitinger (Thomas); K. Hagen (Knut); V. Salomaa (Veikko); K. Heikkilä (Kauko); E. Loehrer (Elizabeth); A.G. Uitterlinden (André); Hofman, A. (Albert); C.M. van Duijn (Cornelia); L. Cherkas (Lynn); Pedersen, L.M. (Linda M.); Stubhaug, A. (Audun); Nielsen, C.S. (Christopher S.); Männikkö, M. (Minna); E. Mihailov (Evelin); L. Milani (Lili); S. Steinberg (Stacy); Esserlind, A.-L. (Ann-Louise); Christensen, A.F. (Anne Francke); Hansen, T.F. (Thomas Folkmann); T.M. Werge (Thomas); J. Kaprio (Jaakko); A. Aromaa (Arpo); O. Raitakari (Olli); M.A. Ikram (Arfan); M.K. Ikram (Kamran); M.-R. Jarvelin (Marjo-Riitta); A. Metspalu (Andres); C. Kubisch (Christian); D.P. Strachan (David); M.D. Ferrari (Michel); Belin, A.C. (Andrea C.); C. Kubisch (Christian); M. Wessman (Maija); A.M.J.M. Maagdenberg (Arn); J-A. Zwart (John-Anker); D.I. Boomsma (Dorret); Smith, G.D. (George Davey); Stefansson, K. (Kari); N. Eriksson (Nicholas); M.J. Daly (Mark); B.M. Neale (Benjamin); J. Olesen (Jes); D.I. Chasman (Daniel); D.R. Nyholt (Dale); A. Palotie (Aarno)

    2016-01-01

    textabstractMigraine is a debilitating neurological disorder affecting around one in seven people worldwide, but its molecular mechanisms remain poorly understood. There is some debate about whether migraine is a disease of vascular dysfunction or a result of neuronal dysfunction with secondary

  13. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

    NARCIS (Netherlands)

    Gormley, P.; Anttila, V.; Winsvold, B.S.; Palta, P.; Esko, T.; Pers, T.H.; Farh, K.H.; Cuenca-Leon, E.; Muona, M.; Furlotte, N.A.; Kurth, T.; Ingason, A.; McMahon, G.; Ligthart, R.S.L.; Terwindt, G.M.; Kallela, M.; Freilinger, T.; Ran, C.; Gordon, S.G.; Stam, A.H.; Steinberg, S.; Borck, G.; Koiranen, M.; Quaye, L.; Adams, H.H.H.; Lehtimäki, T.; Sarin, A.P.; Wedenoja, J.; Hinds, D.A.; Buring, J.E.; Schürks, M.; Ridker, P.M.; Gudlaug Hrafnsdottir, M.; Stefansson, H.; Ring, S.M.; Hottenga, J.J.; Penninx, B.W.J.H.; Färkkilä, M.; Artto, V.; Kaunisto, M.A.; Vepsäläinen, S.; Malik, R.; Heath, A.C.; Madden, P.A.F.; Martin, N.G.; Montgomery, G.W.; Kurki, M.I.; Kals, M.; Mägi, R.; Pärn, K.; Hämaläinen, E.; Huang, H.; Byrnes, A.E.; Franke, L.; Huang, J.; Stergiakouli, E.; Lee, P.H.; Sandor, C.; Webber, C.; Cader, Z.; Müller-Myhsok, B.; Schreiber, S; Meitinger, T.; Eriksson, J.G.; Salomaa, V.; Heikkilä, K.; Loehrer, A.G.; Uitterlinden, A.G.; Hofman, A.; van Duijn, C.M.; Cherkas, L.; Pedersen, L.; Stubhaug, A.; Nielsen, C.S.; Männikkö, M.; Mihailov, E.; Milani, L.; Göbel, H.; Esserlind, A.L.; Francke Christensen, A.; Folkmann Hansen, T.; Werge, T.; Kaprio, J.; Aromaa, A.; Raitakari, O.; Ikram, M.A.; Spector, T.D.; Järvelin, M.R.; Metspalu, A.; Kubisch, C.; Strachan, D.P.; Ferrari, M.D.; Belin, A.C.; Dichgans, M.; Wessman, M.; van den Maagdenberg, A.M.J.M.; Zwart, J.A.; Boomsma, D.I.; Davey Smith, G.; Stefansson, K.; Eriksson, N.; Daly, M.J.; Neale, B.M.; Olesen, J.; Chasman, D.I.; Nyholt, DR; Palotie, A.; Posthuma, D.

    2016-01-01

    Migraine is a debilitating neurological disorder affecting around one in seven people worldwide, but its molecular mechanisms remain poorly understood. There is some debate about whether migraine is a disease of vascular dysfunction or a result of neuronal dysfunction with secondary vascular

  14. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

    NARCIS (Netherlands)

    Gormley, Padhraig; Anttila, Verneri; Winsvold, Bendik S.; Palta, Priit; Esko, Tonu; Pers, Tune H.; Farh, Kai-How; Cuenca-Leon, Ester; Muona, Mikko; Furlotte, Nicholas A.; Kurth, Tobias; Ingason, Andres; McMahon, George; Ligthart, Lannie; Terwindt, Gisela M.; Kallela, Mikko; Freilinger, Tobias M.; Ran, Caroline; Gordon, Scott G.; Stam, Anine H.; Steinberg, Stacy; Borck, Guntram; Koiranen, Markku; Quaye, Lydia; Adams, Hieab H. H.; Lehtimaki, Terho; Sarin, Antti-Pekka; Wedenoja, Juho; Hinds, David A.; Buring, Julie E.; Schurks, Markus; Ridker, Paul M.; Hrafnsdottir, Maria Gudlaug; Stefansson, Hreinn; Ring, Susan M.; Hottenga, Jouke-Jan; Penninx, Brenda W. J. H.; Farkkila, Markus; Artto, Ville; Kaunisto, Mari; Vepsalainen, Salli; Malik, Rainer; Heath, Andrew C.; Madden, Pamela A. F.; Martin, Nicholas G.; Montgomery, Grant W.; Kurki, Mitja I.; Kals, Mart; Magi, Reedik; Franke, Lude

    Migraine is a debilitating neurological disorder affecting around one in seven people worldwide, but its molecular mechanisms remain poorly understood. There is some debate about whether migraine is a disease of vascular dysfunction or a result of neuronal dysfunction with secondary vascular

  15. New susceptibility loci associated with kidney disease in type 1 diabetes

    DEFF Research Database (Denmark)

    Sandholm, Niina; Salem, Rany M; McKnight, Amy Jayne

    2012-01-01

    Diabetic kidney disease, or diabetic nephropathy (DN), is a major complication of diabetes and the leading cause of end-stage renal disease (ESRD) that requires dialysis treatment or kidney transplantation. In addition to the decrease in the quality of life, DN accounts for a large proportion...... mechanisms behind the disease remain poorly understood, and current therapeutic strategies rarely result in reversal of DN. In the GEnetics of Nephropathy: an International Effort (GENIE) consortium, we have undertaken a meta-analysis of genome-wide association studies (GWAS) of T1D DN comprising ~2...... SNP in the ERBB4 gene (rs7588550, P = 2.1 × 10(-7)), a gene with type 2 diabetes DN differential expression and in the same intron as a variant with cis-eQTL expression of ERBB4. All these detected associations represent new signals in the pathogenesis of DN....

  16. Clustering by neurocognition for fine-mapping of the schizophrenia susceptibility loci on chromosome 6p

    Science.gov (United States)

    Lin, Sheng-Hsiang; Liu, Chih-Min; Liu, Yu-Li; Fann, Cathy Shen-Jang; Hsiao, Po-Chang; Wu, Jer-Yuarn; Hung, Shuen-Iu; Chen, Chun-Houh; Wu, Han-Ming; Jou, Yuh-Shan; Liu, Shi K.; Hwang, Tzung J.; Hsieh, Ming H.; Chang, Chien-Ching; Yang, Wei-Chih; Lin, Jin-Jia; Chou, Frank Huang-Chih; Faraone, Stephen V.; Tsuang, Ming T.; Hwu, Hai-Gwo; Chen, Wei J.

    2009-01-01

    Chromosome 6p is one of the most commonly implicated regions in the genome-wide linkage scans of schizophrenia, whereas further association studies for markers in this region were inconsistent likely due to heterogeneity. This study aimed to identify more homogeneous subgroups of families for fine mapping on regions around markers D6S296 and D6S309 (both in 6p24.3) as well as D6S274 (in 6p22.3) by means of similarity in neurocognitive functioning. A total of 160 families of patients with schizophrenia comprising at least two affected siblings who had data for 8 neurocognitive test variables of the Continuous Performance Test (CPT) and the Wisconsin Card Sorting Test (WCST) were subjected to cluster analysis with data visualization using the test scores of both affected siblings. Family clusters derived were then used separately in family-based association tests for 64 single nucleotide polymorphisms covering the region of 6p24.3 and 6p22.3. Three clusters were derived from the family-based clustering, with deficit cluster 1 representing deficit on the CPT, deficit cluster 2 representing deficit on both the CPT and the WCST, and a third cluster of non-deficit. After adjustment using false discovery rate for multiple testing, SNP rs13873 and haplotype rs1225934-rs13873 on BMP6-TXNDC5 genes were significantly associated with schizophrenia for the deficit cluster 1 but not for the deficit cluster 2 or non-deficit cluster. Our results provide further evidence that the BMP6-TXNDC5 locus on 6p24.3 may play a role in the selective impairments on sustained attention of schizophrenia. PMID:19694819

  17. Confirmation of TNIP1 and IL23A as susceptibility loci for psoriatic arthritis.

    LENUS (Irish Health Repository)

    Bowes, John

    2011-09-01

    To investigate a shared genetic aetiology for skin involvement in psoriasis and psoriatic arthritis (PsA) by genotyping single-nucleotide polymorphisms (SNPs), reported to be associated in genome-wide association studies of psoriasis, in patients with PsA.

  18. 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...

  19. Genome-wide association study identifies new prostate cancer susceptibility loci

    DEFF Research Database (Denmark)

    Schumacher, Fredrick R.; Berndt, Sonja I.; Siddiq, Afshan

    2011-01-01

    Prostate cancer (PrCa) is the most common non-skin cancer diagnosed among males in developed countries and the second leading cause of cancer mortality, yet little is known regarding its etiology and factors that influence clinical outcome. Genome-wide association studies (GWAS) of PrCa have iden...

  20. [Discriminatory power of variable number on tandem repeats loci for genotyping Mycobacterium tuberculosis strains in China].

    Science.gov (United States)

    Chen, H X; Cai, C; Liu, J Y; Zhang, Z G; Yuan, M; Jia, J N; Sun, Z G; Huang, H R; Gao, J M; Li, W M

    2017-06-10

    Objective: Using the standard genotype method, variable number of tandem repeats (VNTR), we constructed a VNTR database to cover all provinces and proposed a set of optimized VNTR loci combinations for each province, in order to improve the preventive and control programs on tuberculosis, in China. Methods: A total of 15 loci VNTR was used to analyze 4 116 Mycobacterium tuberculosis strains, isolated from national survey of Drug Resistant Tuberculosis, in 2007. Hunter-Gaston Index (HGI) was also used to analyze the discriminatory power of each VNTR site. A set combination of 12-VNTR, 10-VNTR, 8-VNTR and 5-VNTR was respectively constructed for each province, based on 1) epidemic characteristics of M. tuberculosis lineages in China, with high discriminatory power and genetic stability. Results: Through the completed 15 loci VNTR patterns of 3 966 strains under 96.36 % (3 966/4 116) coverage, we found seven high HGI loci (including QUB11b and MIRU26) as well as low stable loci (including QUB26, MIRU16, Mtub21 and QUB11b) in several areas. In all the 31 provinces, we found an optimization VNTR combination as 10-VNTR loci in Inner Mongolia, Chongqing and Heilongjiang, but with 8-VNTR combination shared in other provinces. Conclusions: It is necessary to not only use the VNTR database for tracing the source of infection and cluster of M. tuberculosis in the nation but also using the set of optimized VNTR combinations in monitoring those local epidemics and M. tuberculosis (genetics in local) population.

  1. Conserved family of glycerol kinase loci in Drosophila melanogaster

    Science.gov (United States)

    Martinez Agosto, Julian A.; McCabe, Edward R.B.

    2009-01-01

    Glycerol kinase (GK) is an enzyme that catalyzes the formation of glycerol 3-phosphate from ATP and glycerol, the rate-limiting step in glycerol utilization. We analyzed the genome of the model organism Drosophila melanogaster and identified five GK orthologs, including two loci with sequence homology to the mammalian Xp21 GK protein. Using a combination of sequence analysis and evolutionary comparisons of orthologs between species, we characterized functional domains in the protein required for GK activity. Our findings include additional conserved domains that suggest novel nuclear and mitochondrial functions for glycerol kinase in apoptosis and transcriptional regulation. Investigation of GK function in Drosophila will inform us about the role of this enzyme in development and will provide us with a tool to examine genetic modifiers of human metabolic disorders. PMID:16545593

  2. 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.

  3. 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.

  4. 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

  5. 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...

  6. 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

  7. Genetic sub-structure in western Mediterranean populations revealed by 12 Y-chromosome STR loci

    DEFF Research Database (Denmark)

    Rodríguez, V; Tomas Mas, Carmen; Sánchez, J J

    2008-01-01

    Haplotype and allele frequencies of 12 Y-chromosome short tandem repeat (Y-STR) loci (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385 a/b, DYS437, DYS438 and DYS439) included in the Powerplex(R) Y System were determined in seven western Mediterranean populations from Valencia, Ma...

  8. 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.

  9. Quantitative trait loci and metabolic pathways

    Science.gov (United States)

    McMullen, M. D.; Byrne, P. F.; Snook, M. E.; Wiseman, B. R.; Lee, E. A.; Widstrom, N. W.; Coe, E. H.

    1998-01-01

    The interpretation of quantitative trait locus (QTL) studies is limited by the lack of information on metabolic pathways leading to most economic traits. Inferences about the roles of the underlying genes with a pathway or the nature of their interaction with other loci are generally not possible. An exception is resistance to the corn earworm Helicoverpa zea (Boddie) in maize (Zea mays L.) because of maysin, a C-glycosyl flavone synthesized in silks via a branch of the well characterized flavonoid pathway. Our results using flavone synthesis as a model QTL system indicate: (i) the importance of regulatory loci as QTLs, (ii) the importance of interconnecting biochemical pathways on product levels, (iii) evidence for “channeling” of intermediates, allowing independent synthesis of related compounds, (iv) the utility of QTL analysis in clarifying the role of specific genes in a biochemical pathway, and (v) identification of a previously unknown locus on chromosome 9S affecting flavone level. A greater understanding of the genetic basis of maysin synthesis and associated corn earworm resistance should lead to improved breeding strategies. More broadly, the insights gained in relating a defined genetic and biochemical pathway affecting a quantitative trait should enhance interpretation of the biological basis of variation for other quantitative traits. PMID:9482823

  10. 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.

  11. 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

  12. Evaluating the potential roles of the Gray and Extension loci in the coat coloration of Thoroughbred racing horses.

    Science.gov (United States)

    Sakamoto, Takahiro; Fawcett, Jeffrey A; Innan, Hideki

    2017-01-01

    Horses have substantial variation in coat color, and the genetic loci responsible for the coat color variations have been well investigated. It has been believed that some color variations should follow a single-locus Mendelian law. Examples include the Gray locus that causes the gray phenotype and the Extension locus that specifies the chestnut phenotype. We reevaluated the roles of the Gray and Extension loci by using a large number of mating records of Thoroughbred racing horses. We showed that the data indeed fits the Mendelian law extremely well for the two loci. Furthermore, we demonstrated that the Extension and Agouti loci might have an additional role in determining the degree of melanin that should distinguish bay, dark bay, and brown.

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

    Directory of Open Access Journals (Sweden)

    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

  14. Transcriptome Analysis of Cotton (Gossypium hirsutum L. Genotypes That Are Susceptible, Resistant, and Hypersensitive to Reniform Nematode (Rotylenchulus reniformis.

    Directory of Open Access Journals (Sweden)

    Ruijuan Li

    Full Text Available Reniform nematode is a semi-endoparasitic nematode species causing significant yield loss in numerous crops, including cotton (Gossypium hirsutum L.. An RNA-sequencing analysis was conducted to measure transcript abundance in reniform nematode susceptible (DP90 & SG747, resistant (BARBREN-713, and hypersensitive (LONREN-1 genotypes of cotton (Gossypium hirsutum L. with and without reniform nematode infestation. Over 90 million trimmed high quality reads were assembled into 84,711 and 80, 353 transcripts using the G. arboreum and the G. raimondii genomes as references. Many transcripts were significantly differentially expressed between the three different genotypes both prior to and during nematode pathogenesis, including transcripts corresponding to the gene ontology categories of cell wall, hormone metabolism and signaling, redox reactions, secondary metabolism, transcriptional regulation, stress responses, and signaling. Further analysis revealed that a number of these differentially expressed transcripts mapped to the G. raimondii and/or the G. arboreum genomes within 1 megabase of quantitative trait loci that had previously been linked to reniform nematode resistance. Several resistance genes encoding proteins known to be strongly linked to pathogen perception and resistance, including LRR-like and NBS-LRR domain-containing proteins, were among the differentially expressed transcripts mapping near these quantitative trait loci. Further investigation is required to confirm a role for these transcripts in reniform nematode susceptibility, hypersensitivity, and/or resistance. This study presents the first systemic investigation of reniform nematode resistance-associated genes using different genotypes of cotton. The candidate reniform nematode resistance-associated genes identified in this study can serve as the basis for further functional analysis and aid in further development of reniform a nematode resistant cotton germplasm.

  15. Microsatellite loci for dreissenid mussels (Mollusca: Bivalvia: Dreissenidae) and relatives: markers for assessing exotic and native populations.

    Science.gov (United States)

    Feldheim, Kevin A; Brown, Joshua E; Murphy, Douglas J; Stepien, Carol A

    2011-07-01

    We developed and tested 14 new polymorphic microsatellite loci for dreissenid mussels, including the two species that have invaded many freshwater habitats in Eurasia and North America, where they cause serious industrial fouling damage and ecological alterations. These new loci will aid our understanding of their genetic patterns in invasive populations as well as throughout their native Ponto-Caspian distributions. Eight new loci for the zebra mussel Dreissena polymorpha polymorpha and six for the quagga mussel D. rostriformis bugensis were compared with new results from six previously published loci to generate a robust molecular toolkit for dreissenid mussels and their relatives. Taxa tested include D. p. polymorpha, D. r. bugensis, D. r. grimmi, D. presbensis, the 'living fossil'Congeria kusceri, and the dark false mussel Mytilopsis leucophaeata (the latter also is invasive). Overall, most of the 24 zebra mussel (N = 583) and 13 quagga mussel (N = 269) population samples conformed to Hardy-Weinberg equilibrium expectations for the new loci following sequential Bonferroni correction. The 11 loci (eight new, three previously published) evaluated for D. p. polymorpha averaged 35.1 alleles and 0.72 mean observed heterozygosity per locus, and 25.3 and 0.75 for the nine loci (six new, three previously published) developed for D. r. bugensis. All but three of these loci successfully amplified the other species of Dreissena, and all but one also amplified Congeria and Mytilopsis. All species and populations tested were significantly divergent using the microsatellite data, with neighbour-joining trees reflecting their evolutionary relationships; our results reveal broad utility for resolving their biogeographic, evolutionary, population and ecological patterns. © 2011 Blackwell Publishing Ltd.

  16. 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

  17. Novel loci associated with increased risk of sudden cardiac death in the context of coronary artery disease.

    Directory of Open Access Journals (Sweden)

    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.

  18. Quantitative Trait Loci Analysis of Allelopathy in Rice

    DEFF Research Database (Denmark)

    Jensen, L B; Courtois, B; Olofsdotter, M

    2008-01-01

    The allelopathic potential of rice (Oryza sativa L.) against Echinochloa crus-galli (L.) Beauv. was investigated under both laboratory and greenhouse conditions. A population of 150 recombinant inbred lines (RILs) was derived through single-seed descent from a cross between the indica cultivar AC...... the population phenotype was normally distributed. Two quantitative trait loci (QTLs) were located on chromosomes 4 and 7, explaining 20% of the phenotypic variation. A second relay seeding experiment was set up, this time including charcoal in the perlite. This screening showed that the allelopathic rice...... varieties did not have any effect on the weed species when grown with charcoal, the charcoal reversing the effect of any potential allelochemicals exuded from the rice roots. The second phenotypic experiment was conducted under greenhouse conditions in pots. Thirteen QTLs were detected for four different...

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

    Science.gov (United States)

    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; van der Veen, JP Wietze; 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 destruction of melanocytes1, with epidemiologic association with other autoimmune diseases2. In previous linkage and genome-wide association studies (GWAS1, GWAS2), we identified 27 vitiligo susceptibility loci in patients of European (EUR) ancestry. We carried out a third GWAS (GWAS3) in EUR subjects, with augmented GWAS1 and GWAS2 controls, genome-wide imputation, and meta-analysis of all three GWAS, followed by an independent replication. The combined analyses, with 4,680 cases and 39,586 controls, identified 23 new loci and 7 suggestive loci, most encoding immune and apoptotic regulators, some also associated with other autoimmune diseases, as well as several melanocyte regulators. Bioinformatic analyses indicate a predominance of causal regulatory variation, some corresponding to eQTL at these loci. Together, the identified genes provide a framework for vitiligo genetic architecture and pathobiology, highlight relationships to other autoimmune diseases and melanoma, and offer potential targets for treatment. PMID:27723757

  20. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    DEFF Research Database (Denmark)

    Mahajan, Anubha; Go, Min Jin; Zhang, Weihua

    2014-01-01

    To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We obs...... and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry....... observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls...

  1. Nonparametric functional mapping of quantitative trait loci.

    Science.gov (United States)

    Yang, Jie; Wu, Rongling; Casella, George

    2009-03-01

    Functional mapping is a useful tool for mapping quantitative trait loci (QTL) that control dynamic traits. It incorporates mathematical aspects of biological processes into the mixture model-based likelihood setting for QTL mapping, thus increasing the power of QTL detection and the precision of parameter estimation. However, in many situations there is no obvious functional form and, in such cases, this strategy will not be optimal. Here we propose to use nonparametric function estimation, typically implemented with B-splines, to estimate the underlying functional form of phenotypic trajectories, and then construct a nonparametric test to find evidence of existing QTL. Using the representation of a nonparametric regression as a mixed model, the final test statistic is a likelihood ratio test. We consider two types of genetic maps: dense maps and general maps, and the power of nonparametric functional mapping is investigated through simulation studies and demonstrated by examples.

  2. Evaluation of European Schizophrenia GWAS Loci in Asian Populations via Comprehensive Meta-Analyses.

    Science.gov (United States)

    Xiao, Xiao; Luo, Xiong-Jian; Chang, Hong; Liu, Zichao; Li, Ming

    2017-08-01

    Schizophrenia is a severe and highly heritable neuropsychiatric disorder. Recent genetic analyses including genome-wide association studies (GWAS) have implicated multiple genome-wide significant variants for schizophrenia among European populations. However, many of these risk variants were not largely validated in other populations of different ancestry such as Asians. To validate whether these European GWAS significant loci are associated with schizophrenia in Asian populations, we conducted a systematic literature search and meta-analyses on 19 single nucleotide polymorphisms (SNPs) in Asian populations by combining all available case-control and family-based samples, including up to 30,000 individuals. We employed classical fixed (or random) effects inverse variance weighted methods to calculate summary odds ratios (ORs) and 95 % confidence intervals (CIs). Among the 19 GWAS loci, we replicated the risk associations of nine markers (e.g., SNPs at VRK2, ITIH3/4, NDST3, NOTCH4) surpassing significance level (two-tailed P Asian replication samples and initial European GWAS findings, and the successful replications of these GWAS loci in a different ethnic group provide stronger evidence for their clinical associations with schizophrenia. Further studies, focusing on the molecular mechanisms of these GWAS significant loci, will become increasingly important for understanding of the pathogenesis to schizophrenia.

  3. Multiple loci are associated with white blood cell phenotypes.

    Directory of Open Access Journals (Sweden)

    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

  4. 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

  5. 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 ...

  6. Quantitative trait loci for maysin synthesis in maize (Zea mays L.) lines selected for high silk maysin content.

    Science.gov (United States)

    Meyer, J D F; Snook, M E; Houchins, K E; Rector, B G; Widstrom, N W; McMullen, M D

    2007-06-01

    Maysin is a naturally occurring C-glycosyl flavone found in maize (Zea mays L.) silk tissue that confers resistance to corn earworm (Helicoverpa zea, Boddie). Recently, two new maize populations were derived for high silk maysin. The two populations were named the exotic populations of maize (EPM) and the southern inbreds of maize (SIM). Quantitative trait locus (QTL) analysis was employed to determine which loci were responsible for elevated maysin levels in inbred lines derived from the EPM and SIM populations. The candidate genes consistent with QTL position included the p (pericarp color), c2 (colorless2), whp1 (white pollen1) and in1 (intensifier1) loci. The role of these loci in controlling high maysin levels in silks was tested by expression analysis and use of the loci as genetic markers onto the QTL populations. These studies support p, c2 and whp1, but not in1, as loci controlling maysin. Through this study, we determined that the p locus regulates whp1 transcription and that increased maysin in these inbred lines was primarily due to alleles at both structural and regulatory loci promoting increased flux through the flavone pathway by increasing chalcone synthase activity.

  7. Population data and mutation rates of 20 autosomal STR loci in a Chinese Han population from Yunnan Province, Southwest China.

    Science.gov (United States)

    Zhang, Xiufeng; Liu, Linlin; Xie, Runfang; Wang, Guiyi; Shi, Yuan; Gu, Tao; Hu, Liping; Nie, Shengjie

    2018-07-01

    The genetic polymorphisms of 20 autosomal short tandem repeat (STR) loci included in the PowerPlex® 21 kit were evaluated from 2068 unrelated, healthy individuals from the Chinese Han population of Yunnan Province in southwest China. All of the loci reached Hardy-Weinberg equilibrium. These loci were examined to determine allele frequencies and forensic statistical parameters. The genetic relationships among the Yunnan Han and other Chinese populations were also estimated. The combined discrimination power and probability of excluding paternity of the 20 STR loci were 0.99999999999999999999999126 and 0.999999975, respectively. In addition, mutation rates from 4363 parentage cases (2215 trios and 2148 duos) were investigated in this study. A total of 164 mutations were observed in 6578 meioses from the 20 loci. The highest mutation rate was observed in D12S391 (0.30%), and the lowest mutation rates were observed in D13S317 (0.03%) and TPOX (0.03%). The average mutation rate for the 20 loci was estimated to be 1.246 × 10 -3 per meiosis. The mutations were primarily single-step and paternal mutations.

  8. 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...

  9. Genome-wide mapping of susceptibility to coronary artery disease identifies a novel replicated locus on chromosome 17.

    Directory of Open Access Journals (Sweden)

    Martin Farrall

    2006-05-01

    Full Text Available Coronary artery disease (CAD is a leading cause of death world-wide, and most cases have a complex, multifactorial aetiology that includes a substantial heritable component. Identification of new genes involved in CAD may inform pathogenesis and provide new therapeutic targets. The PROCARDIS study recruited 2,658 affected sibling pairs (ASPs with onset of CAD before age 66 y from four European countries to map susceptibility loci for CAD. ASPs were defined as having CAD phenotype if both had CAD, or myocardial infarction (MI phenotype if both had a MI. In a first study, involving a genome-wide linkage screen, tentative loci were mapped to Chromosomes 3 and 11 with the CAD phenotype (1,464 ASPs, and to Chromosome 17 with the MI phenotype (739 ASPs. In a second study, these loci were examined with a dense panel of grid-tightening markers in an independent set of families (1,194 CAD and 344 MI ASPs. This replication study showed a significant result on Chromosome 17 (MI phenotype; p = 0.009 after adjustment for three independent replication tests. An exclusion analysis suggests that further genes of effect size lambda(sib > 1.24 are unlikely to exist in these populations of European ancestry. To our knowledge, this is the first genome-wide linkage analysis to map, and replicate, a CAD locus. The region on Chromosome 17 provides a compelling target within which to identify novel genes underlying CAD. Understanding the genetic aetiology of CAD may lead to novel preventative and/or therapeutic strategies.

  10. 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...

  11. Identification of Multiple Loci Associated with Social Parasitism in Honeybees.

    Science.gov (United States)

    Wallberg, Andreas; Pirk, Christian W; Allsopp, Mike H; Webster, Matthew T

    2016-06-01

    In colonies of the honeybee Apis mellifera, the queen is usually the only reproductive female, which produces new females (queens and workers) by laying fertilized eggs. However, in one subspecies of A. mellifera, known as the Cape bee (A. m. capensis), worker bees reproduce asexually by thelytoky, an abnormal form of meiosis where two daughter nucleii fuse to form single diploid eggs, which develop into females without being fertilized. The Cape bee also exhibits a suite of phenotypes that facilitate social parasitism whereby workers lay such eggs in foreign colonies so their offspring can exploit their resources. The genetic basis of this switch to social parasitism in the Cape bee is unknown. To address this, we compared genome variation in a sample of Cape bees with other African populations. We find genetic divergence between these populations to be very low on average but identify several regions of the genome with extreme differentiation. The regions are strongly enriched for signals of selection in Cape bees, indicating that increased levels of positive selection have produced the unique set of derived phenotypic traits in this subspecies. Genetic variation within these regions allows unambiguous genetic identification of Cape bees and likely underlies the genetic basis of social parasitism. The candidate loci include genes involved in ecdysteroid signaling and juvenile hormone and dopamine biosynthesis, which may regulate worker ovary activation and others whose products localize at the centrosome and are implicated in chromosomal segregation during meiosis. Functional analysis of these loci will yield insights into the processes of reproduction and chemical signaling in both parasitic and non-parasitic populations and advance understanding of the process of normal and atypical meiosis.

  12. Identification of Multiple Loci Associated with Social Parasitism in Honeybees.

    Directory of Open Access Journals (Sweden)

    Andreas Wallberg

    2016-06-01

    Full Text Available In colonies of the honeybee Apis mellifera, the queen is usually the only reproductive female, which produces new females (queens and workers by laying fertilized eggs. However, in one subspecies of A. mellifera, known as the Cape bee (A. m. capensis, worker bees reproduce asexually by thelytoky, an abnormal form of meiosis where two daughter nucleii fuse to form single diploid eggs, which develop into females without being fertilized. The Cape bee also exhibits a suite of phenotypes that facilitate social parasitism whereby workers lay such eggs in foreign colonies so their offspring can exploit their resources. The genetic basis of this switch to social parasitism in the Cape bee is unknown. To address this, we compared genome variation in a sample of Cape bees with other African populations. We find genetic divergence between these populations to be very low on average but identify several regions of the genome with extreme differentiation. The regions are strongly enriched for signals of selection in Cape bees, indicating that increased levels of positive selection have produced the unique set of derived phenotypic traits in this subspecies. Genetic variation within these regions allows unambiguous genetic identification of Cape bees and likely underlies the genetic basis of social parasitism. The candidate loci include genes involved in ecdysteroid signaling and juvenile hormone and dopamine biosynthesis, which may regulate worker ovary activation and others whose products localize at the centrosome and are implicated in chromosomal segregation during meiosis. Functional analysis of these loci will yield insights into the processes of reproduction and chemical signaling in both parasitic and non-parasitic populations and advance understanding of the process of normal and atypical meiosis.

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

    Directory of Open Access Journals (Sweden)

    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.

  14. 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

  15. 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 t