WorldWideScience

Sample records for cancer susceptibility loci

  1. 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...

  2. 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.

  3. 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...

  4. 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...

  5. 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

  6. 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) in ...

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

    NARCIS (Netherlands)

    Ghoussaini, M.; Fletcher, O.; Michailidou, K.; Turnbull, C.; Schmidt, M.K.; Dicks, E.; Dennis, J.; Wang, Q.; Humphreys, M.K.; Luccarini, C.; Baynes, C.; Conroy, D.; Maranian, M.; Ahmed, S.; Driver, K.; Johnson, N.; Orr, N.; dos Santos Silva, I.; Waisfisz, Q.; Meijers-Heijboer, H.; Uitterlinden, A.G.; Rivadeneira, F.; Hall, P.; Czene, K.; Irwanto, A.; Liu, J.; Nevanlinna, H.; Aittomaki, K.; Blomqvist, C.; Meindl, A.; Schmutzler, R.K.; Muller-Myhsok, B.; Lichtner, P.; Chang-Claude, J.; Hein, R.; Nickels, S.; Flesch-Janys, D.; Tsimiklis, H.; Makalic, E.; Schmidt, D.; Bui, M.; Hopper, J.L.; Apicella, C.; Park, D.J.; Southey, M.; Hunter, D.J.; Chanock, S.J.; Broeks, A.; Verhoef, S.; Hogervorst, F.B.; Fasching, P.A.; Lux, M.P.; Beckmann, M.W.; Ekici, A.B.; Sawyer, E.; Tomlinson, I.; Kerin, M.; Marme, F.; Schneeweiss, A.; Sohn, C.; Burwinkel, B.; Guenel, P.; Truong, T.; Cordina-Duverger, E.; Menegaux, F.; Bojesen, S.E.; Nordestgaard, B.G.; Nielsen, S.F.; Flyger, H.; Milne, R.L.; Alonso, M.R.; Gonzalez-Neira, A.; Benitez, J.; Anton-Culver, H.; Ziogas, A.; Bernstein, L.; Dur, C.C.; Brenner, H.; Muller, H.; Arndt, V.; Stegmaier, C.; Justenhoven, C.; Brauch, H.; Bruning, T.; Wang-Gohrke, S.; Eilber, U.; Dork, T.; Schurmann, P.; Bremer, M.; Hillemanns, P.; Bogdanova, N.V.; Antonenkova, N.N.; Rogov, Y.I.; Karstens, J.H.; Bermisheva, M.; Prokofieva, D.; Ligtenberg, M.J.

    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 approximately 8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies

  8. 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...

  9. 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...

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

    Science.gov (United States)

    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, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction. PMID:27117709

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

    Science.gov (United States)

    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, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction. PMID:27117709

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

    NARCIS (Netherlands)

    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.; Jonson, 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; Aittomaeki, Kristiina; Nevanlinna, Heli; Collee, 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; Lazaroso, Conxi; Angel Pujana, Miguel; 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.; Duerst, Matthias; Hillemanns, Peter; Doerk, 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

    2015-01-01

    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 associ

  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.C. Margriet (J. Collée); 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 W.); 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; 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 ass

  14. 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; Buckley, 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; van den Berg, David; 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

    2013-04-01

    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 24,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have associations close to genome-wide significance and identified three loci newly 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 and implicated CHMP4C in the pathogenesis of ovarian cancer. PMID:23535730

  15. 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

  16. Genome-wide association study of colorectal cancer identifies six new susceptibility loci

    Science.gov (United States)

    Schumacher, Fredrick R.; Schmit, Stephanie L.; Jiao, Shuo; Edlund, Christopher K.; Wang, Hansong; Zhang, Ben; Hsu, Li; Huang, Shu-Chen; Fischer, Christopher P.; Harju, John F.; Idos, Gregory E.; Lejbkowicz, Flavio; Manion, Frank J.; McDonnell, Kevin; McNeil, Caroline E.; Melas, Marilena; Rennert, Hedy S.; Shi, Wei; Thomas, Duncan C.; Van Den Berg, David J.; Hutter, Carolyn M.; Aragaki, Aaron K.; Butterbach, Katja; Caan, Bette J.; Carlson, Christopher S.; Chanock, Stephen J.; Curtis, Keith R.; Fuchs, Charles S.; Gala, Manish; Giovannucci, Edward L.; Gogarten, Stephanie M.; Hayes, Richard B.; Henderson, Brian; Hunter, David J.; Jackson, Rebecca D.; Kolonel, Laurence N.; Kooperberg, Charles; Küry, Sébastien; LaCroix, Andrea; Laurie, Cathy C.; Laurie, Cecelia A.; Lemire, Mathieu; Levine, David; Ma, Jing; Makar, Karen W.; Qu, Conghui; Taverna, Darin; Ulrich, Cornelia M.; Wu, Kana; Kono, Suminori; West, Dee W.; Berndt, Sonja I.; Bezieau, Stéphane; Brenner, Hermann; Campbell, Peter T.; Chan, Andrew T.; Chang-Claude, Jenny; Coetzee, Gerhard A.; Conti, David V.; Duggan, David; Figueiredo, Jane C.; Fortini, Barbara K.; Gallinger, Steven J.; Gauderman, W. James; Giles, Graham; Green, Roger; Haile, Robert; Harrison, Tabitha A.; Hoffmeister, Michael; Hopper, John L.; Hudson, Thomas J.; Jacobs, Eric; Iwasaki, Motoki; Jee, Sun Ha; Jenkins, Mark; Jia, Wei-Hua; Joshi, Amit; Li, Li; Lindor, Noralene M.; Matsuo, Keitaro; Moreno, Victor; Mukherjee, Bhramar; Newcomb, Polly A.; Potter, John D.; Raskin, Leon; Rennert, Gad; Rosse, Stephanie; Severi, Gianluca; Schoen, Robert E.; Seminara, Daniela; Shu, Xiao-Ou; Slattery, Martha L.; Tsugane, Shoichiro; White, Emily; Xiang, Yong-Bing; Zanke, Brent W.; Zheng, Wei; Le Marchand, Loic; Casey, Graham; Gruber, Stephen B.; Peters, Ulrike

    2016-01-01

    Genetic susceptibility to colorectal cancer is caused by rare pathogenic mutations and common genetic variants that contribute to familial risk. Here we report the results of a two-stage association study with 18,299 cases of colorectal cancer and 19,656 controls, with follow-up of the most statistically significant genetic loci in 4,725 cases and 9,969 controls from two Asian consortia. We describe six new susceptibility loci reaching a genome-wide threshold of P<5.0E-08. These findings provide additional insight into the underlying biological mechanisms of colorectal cancer and demonstrate the scientific value of large consortia-based genetic epidemiology studies. PMID:26151821

  17. Identification of seven new prostate cancer susceptibility loci through a genome-wide association study

    Science.gov (United States)

    Eeles, Rosalind A.; Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G.; Guy, Michelle; Severi, Gianluca; Muir, Kenneth; Hopper, John L.; Henderson, Brian E.; Haiman, Christopher A.; Schleutker, Johanna; Hamdy, Freddie C.; Neal, David E.; Donovan, Jenny L.; Stanford, Janet L.; Ostrander, Elaine A.; Ingles, Sue A.; John, Esther M.; Thibodeau, Stephen N.; Schaid, Daniel; Park, Jong Y.; Spurdle, Amanda; Clements, Judith; Dickinson, Joanne L.; Maier, Christiane; Vogel, Walther; Dörk, Thilo; Rebbeck, Timothy R.; Cooney, Kathleen A.; Cannon-Albright, Lisa; Chappuis, Pierre O.; Hutter, Pierre; Zeegers, Maurice; Kaneva, Radka; Zhang, Hong-Wei; Lu, Yong-Jie; Foulkes, William D.; English, Dallas R.; Leongamornlert, Daniel A.; Tymrakiewicz, Malgorzata; Morrison, Jonathan; Ardern-Jones, Audrey T.; Hall, Amanda L.; O’Brien, Lynne T.; Wilkinson, Rosemary A.; Saunders, Edward J.; Page, Elizabeth C.; Sawyer, Emma J.; Edwards, Stephen M.; Dearnaley, David P.; Horwich, Alan; Huddart, Robert A.; Khoo, Vincent S.; Parker, Christopher C.; Van As, Nicholas; Woodhouse, Christopher J.; Thompson, Alan; Christmas, Tim; Ogden, Chris; Cooper, Colin S.; Southey, Melissa C.; Lophatananon, Artitaya; Liu, Jo-Fen; Kolonel, Laurence N.; Le Marchand, Loic; Wahlfors, Tiina; Tammela, Teuvo L.; Auvinen, Anssi; Lewis, Sarah J.; Cox, Angela; FitzGerald, Liesel M.; Koopmeiners, Joseph S.; Karyadi, Danielle M.; Kwon, Erika M.; Stern, Mariana C.; Corral, Roman; Joshi, Amit D.; Shahabi, Ahva; McDonnell, Shannon K.; Sellers, Thomas A; Pow-Sang, Julio; Chambers, Suzanne; Aitken, Joanne; Gardiner, R.A. (Frank); Batra, Jyotsna; Kedda, Mary Anne; Lose, Felicity; Polanowski, Andrea; Patterson, Briony; Serth, Jürgen; Meyer, Andreas; Luedeke, Manuel; Stefflova, Klara; Ray, Anna M.; Lange, Ethan M.; Farnham, Jim; Khan, Humera; Slavov, Chavdar; Mitkova, Atanaska; Cao, Guangwen; Easton, Douglas F.

    2010-01-01

    Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. To identify common PrCa susceptibility alleles, we have previously conducted a genome-wide association study in which 541, 129 SNPs were genotyped in 1,854 PrCa cases with clinically detected disease and 1,894 controls. We have now evaluated promising associations in a second stage, in which we genotyped 43,671 SNPs in 3,650 PrCa cases and 3,940 controls, and a third stage, involving an additional 16,229 cases and 14,821 controls from 21 studies. In addition to previously identified loci, we identified a further seven new prostate cancer susceptibility loci on chromosomes 2, 4, 8, 11, and 22 (P=1.6×10−8 to P=2.7×10−33). PMID:19767753

  18. 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

    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...... 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...... 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....

  19. 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

    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...

  20. 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...

  1. 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. Margriet Collée; 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 Grenaker); 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 W.); 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)

    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, comprisi

  2. 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...

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

    Science.gov (United States)

    Al Olama, Ali Amin; Kote-Jarai, Zsofia; Berndt, Sonja I.; Conti, David V.; Schumacher, Fredrick; Han, Ying; Benlloch, Sara; Hazelett, Dennis J.; Wang, Zhaoming; Saunders, Ed; Leongamornlert, Daniel; Lindstrom, Sara; Jugurnauth-Little, Sara; Dadaev, Tokhir; Tymrakiewicz, Malgorzata; Stram, Daniel O.; Rand, Kristin; Wan, Peggy; Stram, Alex; Sheng, Xin; Pooler, Loreall C.; Park, Karen; Xia, Lucy; Tyrer, Jonathan; Kolonel, Laurence N.; Le Marchand, Loic; Hoover, Robert N.; Machiela, Mitchell J.; Yeager, Merideth; Burdette, Laurie; Chung, Charles C.; Hutchinson, Amy; Yu, Kai; Goh, Chee; Ahmed, Mahbubl; Govindasami, Koveela; Guy, Michelle; Tammela, Teuvo L.J.; Auvinen, Anssi; Wahlfors, Tiina; Schleutker, Johanna; Visakorpi, Tapio; Leinonen, Katri A.; Xu, Jianfeng; Aly, Markus; Donovan, Jenny; Travis, Ruth C.; Key, Tim J.; Siddiq, Afshan; Canzian, Federico; Khaw, Kay-Tee; Takahashi, Atsushi; Kubo, Michiaki; Pharoah, Paul; Pashayan, Nora; Weischer, Maren; Nordestgaard, Borge G.; Nielsen, Sune F.; Klarskov, Peter; Røder, Martin Andreas; Iversen, Peter; Thibodeau, Stephen N.; McDonnell, Shannon K; Schaid, Daniel J; Stanford, Janet L.; Kolb, Suzanne; Holt, Sarah; Knudsen, Beatrice; Coll, Antonio Hurtado; Gapstur, Susan M.; Diver, W. Ryan; Stevens, Victoria L.; Maier, Christiane; Luedeke, Manuel; Herkommer, Kathleen; Rinckleb, Antje E.; Strom, Sara S.; Pettaway, Curtis; Yeboah, Edward D.; Tettey, Yao; Biritwum, Richard B.; Adjei, Andrew A.; Tay, Evelyn; Truelove, Ann; Niwa, Shelley; Chokkalingam, Anand P.; Cannon-Albright, Lisa; Cybulski, Cezary; Wokołorczyk, Dominika; Kluźniak, Wojciech; Park, Jong; Sellers, Thomas; Lin, Hui-Yi; Isaacs, William B.; Partin, Alan W.; Brenner, Hermann; Dieffenbach, Aida Karina; Stegmaier, Christa; Chen, Constance; Giovannucci, Edward L.; Ma, Jing; Stampfer, Meir; Penney, Kathryn L.; Mucci, Lorelei; John, Esther M.; Ingles, Sue A.; Kittles, Rick A.; Murphy, Adam B.; Pandha, Hardev; Michael, Agnieszka; Kierzek, Andrzej M.; Blot, William; Signorello, Lisa B.; Zheng, Wei; Albanes, Demetrius; Virtamo, Jarmo; Weinstein, Stephanie; Nemesure, Barbara; Carpten, John; Leske, Cristina; Wu, Suh-Yuh; Hennis, Anselm; Kibel, Adam S.; Rybicki, Benjamin A.; Neslund-Dudas, Christine; Hsing, Ann W.; Chu, Lisa; Goodman, Phyllis J.; Klein, Eric A; Zheng, S. Lilly; Batra, Jyotsna; Clements, Judith; Spurdle, Amanda; Teixeira, Manuel R.; Paulo, Paula; Maia, Sofia; Slavov, Chavdar; Kaneva, Radka; Mitev, Vanio; Witte, John S.; Casey, Graham; Gillanders, Elizabeth M.; Seminara, Daniella; Riboli, Elio; Hamdy, Freddie C.; Coetzee, Gerhard A.; Li, Qiyuan; Freedman, Matthew L.; Hunter, David J.; Muir, Kenneth; Gronberg, Henrik; Neal, David E.; Southey, Melissa; Giles, Graham G.; Severi, Gianluca; Cook, Michael B.; Nakagawa, Hidewaki; Wiklund, Fredrik; Kraft, Peter; Chanock, Stephen J.; Henderson, Brian E.; Easton, Douglas F.; Eeles, Rosalind A.; Haiman, Christopher A.

    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 43,303prostate cancer cases and 43,737 controls from studies in populations of European, African, Japanese and Latino ancestry. Twenty-three novel susceptibility loci were revealed at P<5×10-8; 15 variants were identified among men of European ancestry, 7 from multiethnic analyses and one was associated with early-onset prostate cancer. These 23 variants, in combination with the known prostate cancer risk variants, explain 33% of the familial risk of the disease in European ancestry populations. These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the utility of combining ancestrally diverse populations to discover risk loci for disease. PMID:25217961

  4. 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.

  5. 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. PMID:25581431

  6. 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

    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.

  7. 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 B.); 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)

    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 susceptibili

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

    International Nuclear Information System (INIS)

    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

  9. 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.

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

    Science.gov (United States)

    Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G.; Severi, Gianluca; Schleutker, Johanna; Weischer, Maren; Canzian, Frederico; Riboli, Elio; Key, Tim; Gronberg, Henrik; Hunter, David J.; Kraft, Peter; Thun, Michael J; Ingles, Sue; Chanock, Stephen; Albanes, Demetrius; Hayes, Richard B; Neal, David E.; Hamdy, Freddie C.; Donovan, Jenny L.; Pharoah, Paul; Schumacher, Fredrick; Henderson, Brian E.; Stanford, Janet L.; Ostrander, Elaine A.; Sorensen, Karina Dalsgaard; Dörk, Thilo; Andriole, Gerald; Dickinson, Joanne L.; Cybulski, Cezary; Lubinski, Jan; Spurdle, Amanda; Clements, Judith A.; Chambers, Suzanne; Aitken, Joanne; Frank Gardiner, R. A.; Thibodeau, Stephen N.; Schaid, Dan; John, Esther M.; Maier, Christiane; Vogel, Walther; Cooney, Kathleen A.; Park, Jong Y.; Cannon-Albright, Lisa; Brenner, Hermann; Habuchi, Tomonori; Zhang, Hong-Wei; Lu, Yong-Jie; Kaneva, Radka; Muir, Ken; Benlloch, Sara; Leongamornlert, Daniel A.; Saunders, Edward J.; Tymrakiewicz, Malgorzata; Mahmud, Nadiya; Guy, Michelle; O’Brien, Lynne T.; Wilkinson, Rosemary A.; Hall, Amanda L.; Sawyer, Emma J.; Dadaev, Tokhir; Morrison, Jonathan; Dearnaley, David P.; Horwich, Alan; Huddart, Robert A.; Khoo, Vincent S.; Parker, Christopher C.; Van As, Nicholas; Woodhouse, Christopher J.; Thompson, Alan; Christmas, Tim; Ogden, Chris; Cooper, Colin S.; Lophatonanon, Aritaya; Southey, Melissa C.; Hopper, John L.; English, Dallas; Wahlfors, Tiina; Tammela, Teuvo LJ; Klarskov, Peter; Nordestgaard, Børge G.; Røder, M. Andreas; Tybjærg-Hansen, Anne; Bojesen, Stig E.; Travis, Ruth; Campa, Daniele; Kaaks, Rudolf; Wiklund, Fredrik; Aly, Markus; Lindstrom, Sara; Diver, W Ryan; Gapstur, Susan; Stern, Mariana C; Corral, Roman; Virtamo, Jarmo; Cox, Angela; Haiman, Christopher A.; Le Marchand, Loic; FitzGerald, Liesel; Kolb, Suzanne; Kwon, Erika M.; Karyadi, Danielle M.; Orntoft, Torben Falck; Borre, Michael; Meyer, Andreas; Serth, Jürgen; Yeager, Meredith; Berndt, Sonja I.; Marthick, James R; Patterson, Briony; Wokolorczyk, Dominika; Batra, Jyotsna; Lose, Felicity; McDonnell, Shannon K; Joshi, Amit D.; Shahabi, Ahva; Rinckleb, Antje E.; Ray, Ana; Sellers, Thomas A.; Lin, Huo-Yi; Stephenson, Robert A; Farnham, James; Muller, Heiko; Rothenbacher, Dietrich; Tsuchiya, Norihiko; Narita, Shintaro; Cao, Guang-Wen; Slavov, Chavdar; Mitev, Vanio; Easton, Douglas F.; Eeles, Rosalind A.

    2012-01-01

    Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. To identify common PrCa susceptibility alleles, we conducted a multi-stage genome-wide association study and previously reported the results of the first two stages, which identified 16 novel susceptibility loci for PrCa. Here we report the results of stage 3 in which we evaluated 1,536 SNPs in 4,574 cases and 4,164 controls. Ten novel association signals were followed up through genotyping in 51,311 samples in 30 studies through the international PRACTICAL consortium. In addition to previously reported loci, we identified a further seven new prostate cancer susceptibility loci on chromosomes 2p, 3q, 5p, 6p, 12q and Xq (P=4.0 ×10−8 to P=2.7 ×10−24). We also identified a SNP in TERT more strongly associated with PrCa than that previously reported. More than 40 PrCa susceptibility loci, explaining ~25% of the familial risk in this disease, have now been identified. PMID:21743467

  11. 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...

  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. 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

    ,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have...... associations close to genome-wide significance and identified three loci newly 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...

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

    Science.gov (United States)

    Lan, Qing; Hsiung, Chao A; Matsuo, Keitaro; Hong, Yun-Chul; Seow, Adeline; Wang, Zhaoming; Hosgood, H Dean; Chen, Kexin; Wang, Jiu-Cun; Chatterjee, Nilanjan; Hu, Wei; Wong, Maria Pik; Zheng, Wei; Caporaso, Neil; Park, Jae Yong; Chen, Chien-Jen; Kim, Yeul Hong; Kim, Young Tae; Landi, Maria Teresa; Shen, Hongbing; Lawrence, Charles; Burdett, Laurie; Yeager, Meredith; Yuenger, Jeffrey; Jacobs, Kevin B; Chang, I-Shou; Mitsudomi, Tetsuya; Kim, Hee Nam; Chang, Gee-Chen; Bassig, Bryan A; Tucker, Margaret; Wei, Fusheng; Yin, Zhihua; Wu, Chen; An, She-Juan; Qian, Biyun; Lee, Victor Ho Fun; Lu, Daru; Liu, Jianjun; Jeon, Hyo-Sung; Hsiao, Chin-Fu; Sung, Jae Sook; Kim, Jin Hee; Gao, Yu-Tang; Tsai, Ying-Huang; Jung, Yoo Jin; Guo, Huan; Hu, Zhibin; Hutchinson, Amy; Wang, Wen-Chang; Klein, Robert; Chung, Charles C; Oh, In-Jae; Chen, Kuan-Yu; Berndt, Sonja I; He, Xingzhou; Wu, Wei; Chang, Jiang; Zhang, Xu-Chao; Huang, Ming-Shyan; Zheng, Hong; Wang, Junwen; Zhao, Xueying; Li, Yuqing; Choi, Jin Eun; Su, Wu-Chou; Park, Kyong Hwa; Sung, Sook Whan; Shu, Xiao-Ou; Chen, Yuh-Min; Liu, Li; Kang, Chang Hyun; Hu, Lingmin; Chen, Chung-Hsing; Pao, William; Kim, Young-Chul; Yang, Tsung-Ying; Xu, Jun; Guan, Peng; Tan, Wen; Su, Jian; Wang, Chih-Liang; Li, Haixin; Sihoe, Alan Dart Loon; Zhao, Zhenhong; 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; Kohno, Takashi; Kweon, Sun-Seog; Chen, Chih-Yi; Vermeulen, Roel; Wu, Junjie; Lim, Wei-Yen; Chen, Kun-Chieh; Chow, Wong-Ho; Ji, Bu-Tian; Chan, John K C; Chu, Minjie; Li1, Yao-Jen; Yokota, Jun; Li, Jihua; Chen, Hongyan; Xiang, Yong-Bing; Yu, Chong-Jen; Kunitoh, Hideo; Wu, Guoping; Jin, Li; Lo, Yen-Li; Shiraishi, Kouya; Chen, Ying-Hsiang; Lin, Hsien-Chih; Wu, Tangchun; Wu, Yi-Long; Yang, Pan-Chyr; Zhou, Baosen; Shin, Min-Ho; Fraumeni, Joseph F; Lin, Dongxin; Chanock, Stephen J; Rothman, Nathaniel

    2014-01-01

    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 China, South Korea, Japan, Singapore, Taiwan, and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10-6) in an additional 1,099 cases and 2,913 controls. We identified three new susceptibility loci at 10q25.2 (rs7086803, P = 3.54 × 10-18), 6q22.2 (rs9387478, P = 4.14 × 10-10) and 6p21.32 (rs2395185, P = 9.51 × 10-9). We also confirmed associations reported for loci at 5p15.33 and 3q28 and a recently reported finding at 17q24.3. We observed no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking. PMID:23143601

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

    Science.gov (United States)

    Lan, Qing; Hsiung, Chao A; Matsuo, Keitaro; Hong, Yun-Chul; Seow, Adeline; Wang, Zhaoming; Hosgood, H Dean; Chen, Kexin; Wang, Jiu-Cun; Chatterjee, Nilanjan; Hu, Wei; Wong, Maria Pik; Zheng, Wei; Caporaso, Neil; Park, Jae Yong; Chen, Chien-Jen; Kim, Yeul Hong; Kim, Young Tae; Landi, Maria Teresa; Shen, Hongbing; Lawrence, Charles; Burdett, Laurie; Yeager, Meredith; Yuenger, Jeffrey; Jacobs, Kevin B; Chang, I-Shou; Mitsudomi, Tetsuya; Kim, Hee Nam; Chang, Gee-Chen; Bassig, Bryan A; Tucker, Margaret; Wei, Fusheng; Yin, Zhihua; Wu, Chen; An, She-Juan; Qian, Biyun; Lee, Victor Ho Fun; Lu, Daru; Liu, Jianjun; Jeon, Hyo-Sung; Hsiao, Chin-Fu; Sung, Jae Sook; Kim, Jin Hee; Gao, Yu-Tang; Tsai, Ying-Huang; Jung, Yoo Jin; Guo, Huan; Hu, Zhibin; Hutchinson, Amy; Wang, Wen-Chang; Klein, Robert; Chung, Charles C; Oh, In-Jae; Chen, Kuan-Yu; Berndt, Sonja I; He, Xingzhou; Wu, Wei; Chang, Jiang; Zhang, Xu-Chao; Huang, Ming-Shyan; Zheng, Hong; Wang, Junwen; Zhao, Xueying; Li, Yuqing; Choi, Jin Eun; Su, Wu-Chou; Park, Kyong Hwa; Sung, Sook Whan; Shu, Xiao-Ou; Chen, Yuh-Min; Liu, Li; Kang, Chang Hyun; Hu, Lingmin; Chen, Chung-Hsing; Pao, William; Kim, Young-Chul; Yang, Tsung-Ying; Xu, Jun; Guan, Peng; Tan, Wen; Su, Jian; Wang, Chih-Liang; Li, Haixin; Sihoe, Alan Dart Loon; Zhao, Zhenhong; 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; Kohno, Takashi; Kweon, Sun-Seog; Chen, Chih-Yi; Vermeulen, Roel; Wu, Junjie; Lim, Wei-Yen; Chen, Kun-Chieh; Chow, Wong-Ho; Ji, Bu-Tian; Chan, John K C; Chu, Minjie; Li, Yao-Jen; Yokota, Jun; Li, Jihua; Chen, Hongyan; Xiang, Yong-Bing; Yu, Chong-Jen; Kunitoh, Hideo; Wu, Guoping; Jin, Li; Lo, Yen-Li; Shiraishi, Kouya; Chen, Ying-Hsiang; Lin, Hsien-Chih; Wu, Tangchun; Wu, Yi-Long; Yang, Pan-Chyr; Zhou, Baosen; Shin, Min-Ho; Fraumeni, Joseph F; Lin, Dongxin; Chanock, Stephen J; Rothman, Nathaniel

    2012-12-01

    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 China, South Korea, Japan, Singapore, Taiwan and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10(-6)) in an additional 1,099 cases and 2,913 controls. We identified three new susceptibility loci at 10q25.2 (rs7086803, P = 3.54 × 10(-18)), 6q22.2 (rs9387478, P = 4.14 × 10(-10)) and 6p21.32 (rs2395185, P = 9.51 × 10(-9)). We also confirmed associations reported for loci at 5p15.33 and 3q28 and a recently reported finding at 17q24.3. We observed no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking. PMID:23143601

  16. Fine-mapping of breast cancer susceptibility loci characterizes genetic risk in African Americans

    OpenAIRE

    Chen, Fang; Chen, Gary K.; Millikan, Robert C.; John, Esther M; Ambrosone, Christine B.; Bernstein, Leslie; Zheng, Wei; Jennifer J Hu; Ziegler, Regina G.; Deming, Sandra L.; Bandera, Elisa V.; Nyante, Sarah; Palmer, Julie R.; Rebbeck, Timothy R.; Sue A Ingles

    2011-01-01

    Genome-wide association studies (GWAS) have revealed 19 common genetic variants that are associated with breast cancer risk. Testing of the index signals found through GWAS and fine-mapping of each locus in diverse populations will be necessary for characterizing the role of these risk regions in contributing to inherited susceptibility. In this large study of breast cancer in African-American women (3016 cases and 2745 controls), we tested the 19 known risk variants identified by GWAS and re...

  17. 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

    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......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...

  18. 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; 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; 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 WR; 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 WM; 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, Dmitrios; 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 AEM; 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 PDP; Kraft, Peter; Dunning, Alison M; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F

    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 of 15,748 breast cancer cases and 18,084 controls, and 46,785 cases and 42,892 controls from 41 studies genotyped on a 200K custom array (iCOGS). Analyses were restricted to women of European ancestry. Genotypes for more than 11M SNPs were generated by imputation using the 1000 Genomes Project reference panel. We identified 15 novel loci associated with breast cancer at P<5×10−8. Combining association analysis with ChIP-Seq data in mammary cell lines and ChIA-PET chromatin interaction data in ENCODE, we identified likely target genes in two regions: SETBP1 on 18q12.3 and RNF115 and PDZK1 on 1q21.1. One association appears to be driven by an amino-acid substitution in EXO1. PMID:25751625

  19. Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

    Science.gov (United States)

    Amin Al Olama, Ali; Benlloch, Sara; Antoniou, Antonis C.; Zeigler-Johnson, Charnita; Stephenson, Robert; Cox, Angela; Southey, Melissa C.; Spurdle, Amanda B.; FitzGerald, Liesel; Leongamornlert, Daniel; Saunders, Edward; Tymrakiewicz, Malgorzata; Guy, Michelle; Dadaev, Tokhir; Little, Sarah J.; Govindasami, Koveela; Sawyer, Emma; Wilkinson, Rosemary; Herkommer, Kathleen; Hopper, John L.; Lophatonanon, Aritaya; Rinckleb, Antje E.; Kote-Jarai, Zsofia; Eeles, Rosalind A.; Easton, Douglas F.

    2015-01-01

    Background Genome-wide association studies have identified multiple genetic variants associated with prostate cancer (PrCa) risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of PrCa. Methods We genotyped 25 PrCa susceptibility loci in 40,414 individuals and derived a polygenic risk score (PRS). We estimated empirical Odds Ratios for PrCa associated with different risk strata defined by PRS and derived age-specific absolute risks of developing PrCa by PRS stratum and family history. Results The PrCa risk for men in the top 1% of the PRS distribution was 30.6 (95% CI 16.4-57.3) fold compared with men in the bottom 1%, and 4.2 (95% CI 3.2-5.5) fold compared with the median risk. The absolute risk of PrCa by age 85 was 65.8% for a man with family history in the top 1% of the PRS distribution, compared with 3.7% for a man in the bottom 1%. The PRS was only weakly correlated with serum PSA level (correlation=0.09). Conclusions Risk profiling can identify men at substantially increased or reduced risk of PrCa. The effect size, measured by OR per unit PRS, was higher in men at younger ages and in men with family history of PrCa. Incorporating additional newly identified loci into a PRS should improve the predictive value of risk profiles. Impact We demonstrate that the risk profiling based on SNPs can identify men at substantially increased or reduced risk that could have useful implications for targeted prevention and screening programs. PMID:25837820

  20. Replication of Breast Cancer Susceptibility Loci in Whites and African Americans Using a Bayesian Approach

    OpenAIRE

    O'Brien, Katie M.; Cole, Stephen R.; Poole, Charles; Bensen, Jeannette T.; Herring, Amy H.; Engel, Lawrence S.; Millikan, Robert C.

    2013-01-01

    Genome-wide association studies (GWAS) and candidate gene analyses have led to the discovery of several dozen genetic polymorphisms associated with breast cancer susceptibility, many of which are considered well-established risk factors for the disease. Despite attempts to replicate these same variant-disease associations in African Americans, the evaluable populations are often too small to produce precise or consistent results. We estimated the associations between 83 previously identified ...

  1. 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

    )) 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......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...... 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...

  2. 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.; Lindstrom, Sara; Eccles, Diana; Millikan, Robert C.; Michailidou, Kyriaki; Stram, Daniel O.; Beckmann, Lars; Rhie, Suhn Kyong; Ambrosone, Christine B.; Aittomaki, 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, Francoise; 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.; Mueller-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; Silva, Isabel dos Santos; 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, Ruediger; 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 E

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

    Science.gov (United States)

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

    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 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88–0.92]; P-value = 1.58 × 10−25). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans ∼14.5 kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08–1.17]; P-value = 7.89 × 10−09) and rs13294895 (OR = 1.09 [1.06–1.12]; P-value = 2.97 × 10−11). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06–1.18]; P-value = 2.77 × 10−05). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER-α, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis. PMID:25652398

  4. Susceptibility loci for lung cancer are associated with mRNA levels of nearby genes in the lung

    NARCIS (Netherlands)

    Nguyen, Justin Dang Uy; Lamontagne, Maxime; Couture, Christian; Conti, Massimo; Pare, Peter D.; Sin, Don D.; Hogg, James C.; Nickle, David; Postma, Dirkje S.; Timens, Wim; Laviolette, Michel; Bosse, Yohan

    2014-01-01

    Recent studies identified three genetic loci reproducibly associated with lung cancer in populations of European ancestry, namely 15q25, 5p15 and 6p21. The goals of this study are first to confirm whether these loci are associated with lung cancer in a French Canadian population and second to identi

  5. Association of GWAS-identified lung cancer susceptibility loci with survival length in patients with small-cell lung cancer treated with platinum-based chemotherapy.

    Directory of Open Access Journals (Sweden)

    Dong Li

    Full Text Available Genetic variants have been shown to affect length of survival in cancer patients. This study explored the association between lung cancer susceptibility loci tagged by single-nucleotide polymorphisms (SNPs identified in the genome-wide association studies and length of survival in small-cell lung cancer (SCLC. Eighteen SNPs were genotyped among 874 SCLC patients and Cox proportional hazards regression was used to examine the effects of genotype on survival length under an additive model with age, sex, smoking status and clinical stage as covariates. We identified 3 loci, 20q13.2 (rs4809957G >A, 22q12.2 (rs36600C >T and 5p15.33 (rs401681C >T, significantly associated with the survival time of SCLC patients. The adjusted hazard ratio (HR for patients with the rs4809957 GA or AA genotype was 0.80 (95% CI, 0.66-0.96; P = 0.0187 and 0.73 (95% CI, 0.55-0.96; P = 0.0263 compared with the GG genotype. Using the dominant model, the adjusted HR for patients carrying at least one T allele at rs36600 or rs401681 was 0.78 (95% CI, 0.63-0.96; P = 0.0199 and 1.29 (95% CI, 1.08-1.55; P = 0.0047, respectively, compared with the CC genotype. Stratification analyses showed that the significant associations of these 3 loci were only seen in smokers and male patients. The rs4809957 SNP was only significantly associated with length of survival of patients with extensive-stage but not limited-stage tumor. These results suggest that some of the lung cancer susceptibility loci might also affect the prognosis of SCLC.

  6. Association of eleven common, low-penetrance colorectal cancer susceptibility genetic variants at six risk loci with clinical outcome.

    Directory of Open Access Journals (Sweden)

    Janelle M Hoskins

    Full Text Available BACKGROUND: Low-penetrance genetic variants have been increasingly recognized to influence the risk of tumor development. Risk variants for colorectal cancer (CRC have been mapped to chromosome positions 8q23.3, 8q24, 9p24.1, 10p14, 11q23, 14q22.2, 15q13, 16q22.1, 18q21, 19q13.1 and 20p12.3. In particular, the 8q24 single nucleotide polymorphism (SNP, rs6983267, has reproducibly been associated with the risk of developing CRC. As the CRC risk SNPs may also influence disease outcome, thus in this study, we evaluated whether they influence patient survival. METHODOLOGY/PRINCIPAL FINDINGS: DNA samples from 583 CRC patients enrolled in the prospective, North Carolina Cancer Care Outcomes Research and Surveillance Consortium Study (NC CanCORS were genotyped for 11 CRC susceptibility SNPs at 6 CRC risk loci. Relationships between genotypes and patient survival were examined using Cox regression analysis. In multivariate analysis, patients homozygous for the CRC risk allele of rs7013278 or rs7014346 (both at 8 q24 were only nominally significant for poorer overall survival compared to patients homozygous for the protective allele (hazard ratio = 2.20 and 1.96, respectively; P<0.05. None of these associations, however, remained statistically significant after correction for multiple testing. The other nine susceptibility SNPs tested were not significantly associated with survival. CONCLUSIONS/SIGNIFICANCE: We did not find evidence of association of CRC risk variants with patient survival.

  7. 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...

  8. 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...

  9. Meta-analysis of genome-wide association studies identifies multiple lung cancer susceptibility loci in never-smoking Asian women.

    Science.gov (United States)

    Wang, Zhaoming; Seow, Wei Jie; Shiraishi, Kouya; Hsiung, Chao A; Matsuo, Keitaro; Liu, Jie; Chen, Kexin; Yamji, Taiki; Yang, Yang; Chang, I-Shou; Wu, Chen; Hong, Yun-Chul; Burdett, Laurie; Wyatt, Kathleen; Chung, Charles C; Li, Shengchao A; Yeager, Meredith; Hutchinson, Amy; Hu, Wei; Caporaso, Neil; Landi, Maria T; Chatterjee, Nilanjan; Song, Minsun; Fraumeni, Joseph F; Kohno, Takashi; Yokota, Jun; Kunitoh, Hideo; Ashikawa, Kyota; Momozawa, Yukihide; Daigo, Yataro; Mitsudomi, Tetsuya; Yatabe, Yasushi; Hida, Toyoaki; Hu, Zhibin; Dai, Juncheng; Ma, Hongxia; Jin, Guangfu; Song, Bao; Wang, Zhehai; Cheng, Sensen; Yin, Zhihua; Li, Xuelian; Ren, Yangwu; Guan, Peng; Chang, Jiang; Tan, Wen; Chen, Chien-Jen; Chang, Gee-Chen; Tsai, Ying-Huang; Su, Wu-Chou; Chen, Kuan-Yu; Huang, Ming-Shyan; Chen, Yuh-Min; Zheng, Hong; Li, Haixin; Cui, Ping; Guo, Huan; Xu, Ping; Liu, Li; Iwasaki, Motoki; Shimazu, Taichi; Tsugane, Shoichiro; Zhu, Junjie; Jiang, Gening; Fei, Ke; Park, Jae Yong; Kim, Yeul Hong; Sung, Jae Sook; Park, Kyong Hwa; Kim, Young Tae; Jung, Yoo Jin; Kang, Chang Hyun; Park, In Kyu; Kim, Hee Nam; Jeon, Hyo-Sung; Choi, Jin Eun; Choi, Yi Young; Kim, Jin Hee; Oh, In-Jae; Kim, Young-Chul; Sung, Sook Whan; Kim, Jun Suk; Yoon, Ho-Il; Kweon, Sun-Seog; Shin, Min-Ho; Seow, Adeline; Chen, Ying; Lim, Wei-Yen; Liu, Jianjun; Wong, Maria Pik; Lee, Victor Ho Fun; Bassig, Bryan A; Tucker, Margaret; Berndt, Sonja I; Chow, Wong-Ho; Ji, Bu-Tian; Wang, Junwen; Xu, Jun; Sihoe, Alan Dart Loon; Ho, James C M; Chan, John K C; Wang, Jiu-Cun; Lu, Daru; Zhao, Xueying; Zhao, Zhenhong; Wu, Junjie; Chen, Hongyan; Jin, Li; Wei, Fusheng; Wu, Guoping; An, She-Juan; Zhang, Xu-Chao; Su, Jian; Wu, Yi-Long; Gao, Yu-Tang; Xiang, Yong-Bing; He, Xingzhou; Li, Jihua; Zheng, Wei; Shu, Xiao-Ou; Cai, Qiuyin; Klein, Robert; Pao, William; Lawrence, Charles; Hosgood, H Dean; Hsiao, Chin-Fu; Chien, Li-Hsin; Chen, Ying-Hsiang; Chen, Chung-Hsing; Wang, Wen-Chang; Chen, Chih-Yi; Wang, Chih-Liang; Yu, Chong-Jen; Chen, Hui-Ling; Su, Yu-Chun; Tsai, Fang-Yu; Chen, Yi-Song; Li, Yao-Jen; Yang, Tsung-Ying; Lin, Chien-Chung; Yang, Pan-Chyr; Wu, Tangchun; Lin, Dongxin; Zhou, Baosen; Yu, Jinming; Shen, Hongbing; Kubo, Michiaki; Chanock, Stephen J; Rothman, Nathaniel; Lan, Qing

    2016-02-01

    Genome-wide association studies (GWAS) of lung cancer in Asian never-smoking women have previously identified six susceptibility loci associated with lung cancer risk. To further discover new susceptibility loci, we imputed data from four GWAS of Asian non-smoking female lung cancer (6877 cases and 6277 controls) using the 1000 Genomes Project (Phase 1 Release 3) data as the reference and genotyped additional samples (5878 cases and 7046 controls) for possible replication. In our meta-analysis, three new loci achieved genome-wide significance, marked by single nucleotide polymorphism (SNP) rs7741164 at 6p21.1 (per-allele odds ratio (OR) = 1.17; P = 5.8 × 10(-13)), rs72658409 at 9p21.3 (per-allele OR = 0.77; P = 1.41 × 10(-10)) and rs11610143 at 12q13.13 (per-allele OR = 0.89; P = 4.96 × 10(-9)). These findings identified new genetic susceptibility alleles for lung cancer in never-smoking women in Asia and merit follow-up to understand their biological underpinnings. PMID:26732429

  10. Meta-analysis of genome-wide association studies identifies multiple lung cancer susceptibility loci in never-smoking Asian women.

    Science.gov (United States)

    Wang, Zhaoming; Seow, Wei Jie; Shiraishi, Kouya; Hsiung, Chao A; Matsuo, Keitaro; Liu, Jie; Chen, Kexin; Yamji, Taiki; Yang, Yang; Chang, I-Shou; Wu, Chen; Hong, Yun-Chul; Burdett, Laurie; Wyatt, Kathleen; Chung, Charles C; Li, Shengchao A; Yeager, Meredith; Hutchinson, Amy; Hu, Wei; Caporaso, Neil; Landi, Maria T; Chatterjee, Nilanjan; Song, Minsun; Fraumeni, Joseph F; Kohno, Takashi; Yokota, Jun; Kunitoh, Hideo; Ashikawa, Kyota; Momozawa, Yukihide; Daigo, Yataro; Mitsudomi, Tetsuya; Yatabe, Yasushi; Hida, Toyoaki; Hu, Zhibin; Dai, Juncheng; Ma, Hongxia; Jin, Guangfu; Song, Bao; Wang, Zhehai; Cheng, Sensen; Yin, Zhihua; Li, Xuelian; Ren, Yangwu; Guan, Peng; Chang, Jiang; Tan, Wen; Chen, Chien-Jen; Chang, Gee-Chen; Tsai, Ying-Huang; Su, Wu-Chou; Chen, Kuan-Yu; Huang, Ming-Shyan; Chen, Yuh-Min; Zheng, Hong; Li, Haixin; Cui, Ping; Guo, Huan; Xu, Ping; Liu, Li; Iwasaki, Motoki; Shimazu, Taichi; Tsugane, Shoichiro; Zhu, Junjie; Jiang, Gening; Fei, Ke; Park, Jae Yong; Kim, Yeul Hong; Sung, Jae Sook; Park, Kyong Hwa; Kim, Young Tae; Jung, Yoo Jin; Kang, Chang Hyun; Park, In Kyu; Kim, Hee Nam; Jeon, Hyo-Sung; Choi, Jin Eun; Choi, Yi Young; Kim, Jin Hee; Oh, In-Jae; Kim, Young-Chul; Sung, Sook Whan; Kim, Jun Suk; Yoon, Ho-Il; Kweon, Sun-Seog; Shin, Min-Ho; Seow, Adeline; Chen, Ying; Lim, Wei-Yen; Liu, Jianjun; Wong, Maria Pik; Lee, Victor Ho Fun; Bassig, Bryan A; Tucker, Margaret; Berndt, Sonja I; Chow, Wong-Ho; Ji, Bu-Tian; Wang, Junwen; Xu, Jun; Sihoe, Alan Dart Loon; Ho, James C M; Chan, John K C; Wang, Jiu-Cun; Lu, Daru; Zhao, Xueying; Zhao, Zhenhong; Wu, Junjie; Chen, Hongyan; Jin, Li; Wei, Fusheng; Wu, Guoping; An, She-Juan; Zhang, Xu-Chao; Su, Jian; Wu, Yi-Long; Gao, Yu-Tang; Xiang, Yong-Bing; He, Xingzhou; Li, Jihua; Zheng, Wei; Shu, Xiao-Ou; Cai, Qiuyin; Klein, Robert; Pao, William; Lawrence, Charles; Hosgood, H Dean; Hsiao, Chin-Fu; Chien, Li-Hsin; Chen, Ying-Hsiang; Chen, Chung-Hsing; Wang, Wen-Chang; Chen, Chih-Yi; Wang, Chih-Liang; Yu, Chong-Jen; Chen, Hui-Ling; Su, Yu-Chun; Tsai, Fang-Yu; Chen, Yi-Song; Li, Yao-Jen; Yang, Tsung-Ying; Lin, Chien-Chung; Yang, Pan-Chyr; Wu, Tangchun; Lin, Dongxin; Zhou, Baosen; Yu, Jinming; Shen, Hongbing; Kubo, Michiaki; Chanock, Stephen J; Rothman, Nathaniel; Lan, Qing

    2016-02-01

    Genome-wide association studies (GWAS) of lung cancer in Asian never-smoking women have previously identified six susceptibility loci associated with lung cancer risk. To further discover new susceptibility loci, we imputed data from four GWAS of Asian non-smoking female lung cancer (6877 cases and 6277 controls) using the 1000 Genomes Project (Phase 1 Release 3) data as the reference and genotyped additional samples (5878 cases and 7046 controls) for possible replication. In our meta-analysis, three new loci achieved genome-wide significance, marked by single nucleotide polymorphism (SNP) rs7741164 at 6p21.1 (per-allele odds ratio (OR) = 1.17; P = 5.8 × 10(-13)), rs72658409 at 9p21.3 (per-allele OR = 0.77; P = 1.41 × 10(-10)) and rs11610143 at 12q13.13 (per-allele OR = 0.89; P = 4.96 × 10(-9)). These findings identified new genetic susceptibility alleles for lung cancer in never-smoking women in Asia and merit follow-up to understand their biological underpinnings.

  11. 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.

  12. A multi-stage genome-wide association study of bladder cancer identifies multiple susceptibility loci

    Science.gov (United States)

    Rothman, Nathaniel; Garcia-Closas, Montserrat; Chatterjee, Nilanjan; Malats, Nuria; Wu, Xifeng; Figueroa, Jonine; Real, Francisco X; Van Den Berg, David; Matullo, Giuseppe; Baris, Dalsu; Thun, Michael; Kiemeney, Lambertus A; Vineis, Paolo; De Vivo, Immaculata; Albanes, Demetrius; Purdue, Mark P; Rafnar, Thorunn; Hildebrandt, Michelle A T; Kiltie, Anne E; Cussenot, Olivier; Golka, Klaus; Kumar, Rajiv; Taylor, Jack A; Mayordomo, Jose I; Jacobs, Kevin B; Kogevinas, Manolis; Hutchinson, Amy; Wang, Zhaoming; Fu, Yi-Ping; Prokunina-Olsson, Ludmila; Burdette, Laurie; Yeager, Meredith; Wheeler, William; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Lloreta, Josep; Johnson, Alison; Schwenn, Molly; Karagas, Margaret R; Schned, Alan; Andriole, Gerald; Grubb, Robert; Black, Amanda; Jacobs, Eric J; Diver, W Ryan; Gapstur, Susan M; Weinstein, Stephanie J; Virtamo, Jarmo; Cortessis, Victoria K; Gago-Dominguez, Manuela; Pike, Malcolm C; Stern, Mariana C; Yuan, Jian-Min; Hunter, David; McGrath, Monica; Dinney, Colin P; Czerniak, Bogdan; Chen, Meng; Yang, Hushan; Vermeulen, Sita H; Aben, Katja K; Witjes, J Alfred; Makkinje, Remco R; Sulem, Patrick; Besenbacher, Soren; Stefansson, Kari; Riboli, Elio; Brennan, Paul; Panico, Salvatore; Navarro, Carmen; Allen, Naomi E; Bueno-de-Mesquita, H Bas; Trichopoulos, Dimitrios; Caporaso, Neil; Landi, Maria Teresa; Canzian, Federico; Ljungberg, Borje; Tjonneland, Anne; Clavel-Chapelon, Francoise; Bishop, David T; Teo, Mark T W; Knowles, Margaret A; Guarrera, Simonetta; Polidoro, Silvia; Ricceri, Fulvio; Sacerdote, Carlotta; Allione, Alessandra; Cancel-Tassin, Geraldine; Selinski, Silvia; Hengstler, Jan G; Dietrich, Holger; Fletcher, Tony; Rudnai, Peter; Gurzau, Eugen; Koppova, Kvetoslava; Bolick, Sophia C E; Godfrey, Ashley; Xu, Zongli; Sanz-Velez, José I; García-Prats, María D; Sanchez, Manuel; Valdivia, Gabriel; Porru, Stefano; Benhamou, Simone; Hoover, Robert N; Fraumeni, Joseph F; Silverman, Debra T; Chanock, Stephen J

    2010-01-01

    We conducted a multi-stage, genome-wide association study (GWAS) of bladder cancer with a primary scan of 589,299 single nucleotide polymorphisms (SNPs) in 3,532 cases and 5,120 controls of European descent (5 studies) followed by a replication strategy, which included 8,381 cases and 48,275 controls (16 studies). In a combined analysis, we identified three new regions associated with bladder cancer on chromosomes 22q13.1, 19q12 and 2q37.1; rs1014971, (P=8×10−12) maps to a non-genic region of chromosome 22q13.1; rs8102137 (P=2×10−11) on 19q12 maps to CCNE1; and rs11892031 (P=1×10−7) maps to the UGT1A cluster on 2q37.1. We confirmed four previous GWAS associations on chromosomes 3q28, 4p16.3, 8q24.21 and 8q24.3, validated previous candidate associations for the GSTM1 deletion (P=4×10−11) and a tag SNP for NAT2 acetylation status (P=4×10−11), as well as demonstrated smoking interactions with both regions. Our findings on common variants associated with bladder cancer risk should provide new insights into mechanisms of carcinogenesis. PMID:20972438

  13. 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.; 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.; 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.; 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 Ch

  14. An investigation of gene-environment interactions between 47 newly identified breast cancer susceptibility loci and environmental risk factors

    Science.gov (United States)

    Rudolph, Anja; Milne, Roger L.; Truong, Thérèse; Knight, Julia A.; Seibold, Petra; Flesch-Janys, Dieter; Behrens, Sabine; Eilber, Ursula; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Dunning, Alison M.; Shah, Mitul; Munday, Hannah R.; Darabi, Hatef; Eriksson, Mikael; Brand, Judith S.; Olson, Janet; Vachon, Celine M.; Hallberg, Emily; Castelao, J. Esteban; Carracedo, Angel; Torres, Maria; Li, Jingmei; Humphreys, Keith; Cordina-Duverger, Emilie; Menegaux, Florence; Flyger, Henrik; Nordestgaard, Børge G.; Nielsen, Sune F.; Yesilyurt, Betul T.; Floris, Giuseppe; Leunen, Karin; Engelhardt, Ellen G.; Broeks, Annegien; Rutgers, Emiel J.; Glendon, Gord; Mulligan, Anna Marie; Cross, Simon; Reed, Malcolm; Gonzalez-Neira, Anna; Perez, José Ignacio Arias; Provenzano, Elena; Apicella, Carmel; Southey, Melissa C.; Spurdle, Amanda; Investigators, kConFab; Group, AOCS; Häberle, Lothar; Beckmann, Matthias W.; Ekici, Arif B.; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; McLean, Catriona; Baglietto, Laura; Chanock, Stephen J.; Lissowska, Jolanta; Sherman, Mark E.; Brüning, Thomas; Hamann, Ute; Ko, Yon-Dschun; Orr, Nick; Schoemaker, Minouk; Ashworth, Alan; Kosma, Veli-Matti; Kataja, Vesa; Hartikainen, Jaana M.; Mannermaa, Arto; Swerdlow, Anthony; Giles, Graham G.; Brenner, Hermann; Fasching, Peter A.; Chenevix-Trench, Georgia; Hopper, John; Benítez, Javier; Cox, Angela; Andrulis, Irene L.; Lambrechts, Diether; Gago-Dominguez, Manuela; Couch, Fergus; Czene, Kamila; Bojesen, Stig E.; Easton, Doug F.; Schmidt, Marjanka K.; Guénel, Pascal; Hall, Per; Pharoah, Paul D. P.; Garcia-Closas, Montserrat; Chang-Claude, Jenny

    2014-01-01

    A large genotyping project within the Breast Cancer Association Consortium (BCAC) recently identified 41 associations between single nucleotide polymorphisms (SNPs) and overall breast cancer (BC) risk. We investigated whether the effects of these 41 SNPs, as well as six SNPs associated with estrogen receptor (ER) negative BC risk are modified by 13 environmental risk factors for BC. Data from 22 studies participating in BCAC were pooled, comprising up to 26,633 cases and 30,119 controls. Interactions between SNPs and environmental factors were evaluated using an empirical Bayes-type shrinkage estimator. Six SNPs showed interactions with associated p-values (pint) <1.1×10−3. None of the observed interactions was significant after accounting for multiple testing. The Bayesian False Discovery Probability was used to rank the findings, which indicated three interactions as being noteworthy at 1% prior probability of interaction. SNP rs6828523 was associated with increased ER-negative BC risk in women ≥170cm (OR=1.22, p=0.017), but inversely associated with ER-negative BC risk in women <160cm (OR=0.83, p=0.039, pint=1.9×10−4). The inverse association between rs4808801 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 breast cancer susceptibility loci are not strongly modified by established risk factors and the observed potential interactions require confirmation in independent studies. PMID:25227710

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

    OpenAIRE

    Lan, Qing; Hsiung, Chao A.; Matsuo, Keitaro; Hong, Yun-Chul; Seow, Adeline; Wang, Zhaoming; Hosgood, H Dean; Chen, Kexin; Wang, Jiu-Cun; Chatterjee, Nilanjan; Hu, Wei; Wong, Maria Pik; Zheng, Wei; Caporaso, Neil; PARK, JAE YONG

    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 China, South Korea, Japan, Singapore, Taiwan, and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10-6) in an additional 1,099 cases and 2,913 controls. We identified three...

  16. Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

    DEFF Research Database (Denmark)

    Amin Al Olama, Ali; Benlloch, Sara; Antoniou, Antonis C;

    2015-01-01

    BACKGROUND: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of prostate cancer. METHODS: We genotyped 2...

  17. Fine mapping of chromosome 5p15.33 based on a targeted deep sequencing and high density genotyping identifies novel lung cancer susceptibility loci.

    Science.gov (United States)

    Kachuri, Linda; Amos, Christopher I; McKay, James D; Johansson, Mattias; Vineis, Paolo; Bueno-de-Mesquita, H Bas; Boutron-Ruault, Marie-Christine; Johansson, Mikael; Quirós, J Ramón; Sieri, Sabina; Travis, Ruth C; Weiderpass, Elisabete; Le Marchand, Loic; Henderson, Brian E; Wilkens, Lynne; Goodman, Gary E; Chen, Chu; Doherty, Jennifer A; Christiani, David C; Wei, Yongyue; Su, Li; Tworoger, Shelley; Zhang, Xuehong; Kraft, Peter; Zaridze, David; Field, John K; Marcus, Michael W; Davies, Michael P A; Hyde, Russell; Caporaso, Neil E; Landi, Maria Teresa; Severi, Gianluca; Giles, Graham G; Liu, Geoffrey; McLaughlin, John R; Li, Yafang; Xiao, Xiangjun; Fehringer, Gord; Zong, Xuchen; Denroche, Robert E; Zuzarte, Philip C; McPherson, John D; Brennan, Paul; Hung, Rayjean J

    2016-01-01

    Chromosome 5p15.33 has been identified as a lung cancer susceptibility locus, however the underlying causal mechanisms were not fully elucidated. Previous fine-mapping studies of this locus have relied on imputation or investigated a small number of known, common variants. This study represents a significant advance over previous research by investigating a large number of novel, rare variants, as well as their underlying mechanisms through telomere length. Variants for this fine-mapping study were identified through a targeted deep sequencing (average depth of coverage greater than 4000×) of 576 individuals. Subsequently, 4652 SNPs, including 1108 novel SNPs, were genotyped in 5164 cases and 5716 controls of European ancestry. After adjusting for known risk loci, rs2736100 and rs401681, we identified a new, independent lung cancer susceptibility variant in LPCAT1: rs139852726 (OR = 0.46, P = 4.73×10(-9)), and three new adenocarcinoma risk variants in TERT: rs61748181 (OR = 0.53, P = 2.64×10(-6)), rs112290073 (OR = 1.85, P = 1.27×10(-5)), rs138895564 (OR = 2.16, P = 2.06×10(-5); among young cases, OR = 3.77, P = 8.41×10(-4)). In addition, we found that rs139852726 (P = 1.44×10(-3)) was associated with telomere length in a sample of 922 healthy individuals. The gene-based SKAT-O analysis implicated TERT as the most relevant gene in the 5p15.33 region for adenocarcinoma (P = 7.84×10(-7)) and lung cancer (P = 2.37×10(-5)) risk. In this largest fine-mapping study to investigate a large number of rare and novel variants within 5p15.33, we identified novel lung and adenocarcinoma susceptibility loci with large effects and provided support for the role of telomere length as the potential underlying mechanism.

  18. Associations of Genetic Variants at Nongenic Susceptibility Loci with Breast Cancer Risk and Heterogeneity by Tumor Subtype in Southern Han Chinese Women

    Directory of Open Access Journals (Sweden)

    Huiying Liang

    2016-01-01

    Full Text Available Current understanding of cancer genomes is mainly “gene centric.” However, GWAS have identified some nongenic breast cancer susceptibility loci. Validation studies showed inconsistent results among different populations. To further explore this inconsistency and to investigate associations by intrinsic subtype (Luminal-A, Luminal-B, ER−&PR−&HER2+, and triple negative among Southern Han Chinese women, we genotyped five nongenic polymorphisms (2q35: rs13387042, 5p12: rs981782 and rs4415084, and 8q24: rs1562430 and rs13281615 using MassARRAY IPLEX platform in 609 patients and 882 controls. Significant associations with breast cancer were observed for rs13387042 and rs4415084 with OR (95% CI per-allele 1.29 (1.00–1.66 and 0.83 (0.71–0.97, respectively. In subtype specific analysis, rs13387042 (per-allele adjusted OR = 1.36, 95% CI = 1.00–1.87 and rs4415084 (per-allele adjusted OR = 0.82, 95% CI = 0.66–1.00 showed slightly significant association with Luminal-A subtype; however, only rs13387042 was associated with ER−&PR−&HER2+ tumors (per-allele adjusted OR = 1.55, 95% CI = 1.00–2.40, and none of them were linked to Luminal-B and triple negative subtype. Collectively, nongenic SNPs were heterogeneous according to the intrinsic subtype. Further studies with larger datasets along with intrinsic subtype categorization should explore and confirm the role of these variants in increasing breast cancer risk.

  19. 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

    A large genotyping project within the Breast Cancer Association Consortium (BCAC) recently identified 41 associations between single nucleotide polymorphisms (SNPs) and overall breast cancer (BC) risk. We investigated whether the effects of these 41 SNPs, as well as six SNPs associated with estro...

  20. Despite shared susceptibility loci, esophageal squamous cell carcinoma embraces more familial cancer than gastric cardia adenocarcinoma in the Taihang Mountains high-risk region of northern central China

    Institute of Scientific and Technical Information of China (English)

    WEN Deng-gui; YANG Yi; WEN Xiao-duo; SHAN Bao-en

    2013-01-01

    Background In China,esophageal squamous cell carcinoma (ESCC) and gastric cardia adenocarcinoma (GCA) share susceptibility loci,but different rates of multiple primary cancer and male/female ratio suggest the proportion of familial cancer is not equal.Methods The percent of cases with a positive family history,median onset age,rate of multiple primary cancer,and male/female ratio associated with upper,middle,lower third ESCC and GCA were compared to reveal the proportion of familial cancer.The 7267 subjects analyzed constituted all ESCC and GCA cases in whom the cancer was resected with cure intention between 1970 and 1994 at the 4th Hospital of Hebei Medical University.Results A positive family history for cancer was most often associated with the multiple primary ESCC and/or GCA cases,e.g.with 42% of the males and 59% of the females.For upper,middle,lower third ESCC and GCA,the percent of cases with a positive family history decreased by 38.5%,26.3%,26.5%,and 11.2% in males (P <0.000) and 25.0%,22.3%,23.9%,and 9.8% in females (P <0.0001).Median onset age increased from 49,52,55,to 56 years old in males and from 50,53,55,to 56 years old in females (both P <0.0001) for upper,middle,lower third ESCC and GCA.Male/female ratio increased from 2.2,2.1,2.2,to 6.2:1 for upper,middle,lower third ESCC and GCA (P<0.0001).For upper,middle,lower third ESCC and GCA,the percent of multiple primary cancers decreased from 21.2%,2.3%,2.2%,to 1.5% in males and from 14.3%,2.4%,3.4%,to 3.1% in females.The preponderance of males,smoking,drinking,or onset-age ≥50 years was significantly higher in GCA than in ESCC,and the difference in the rates of multiple primary cancers between the preponderant and the non-preponderant cases was significant in GCA,but not in ESCC,suggesting non-equal requirement for genetic susceptibility when environmental hazards did not exist.Conclusions The proportion of familial cancer in upper gastrointestinal

  1. 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...

  2. 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 112,349...

  3. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33

    Science.gov (United States)

    Petersen, Gloria M.; Amundadottir, Laufey; Fuchs, Charles S.; Kraft, Peter; Stolzenberg-Solomon, Rachael Z.; Jacobs, Kevin B.; Arslan, Alan A.; Bueno-de-Mesquita, H. Bas; Gallinger, Steven; Gross, Myron; Helzlsouer, Kathy; Holly, Elizabeth A.; Jacobs, Eric J.; Klein, Alison P.; LaCroix, Andrea; Li, Donghui; Mandelson, Margaret T.; Olson, Sara H.; Risch, Harvey A.; Zheng, Wei; Albanes, Demetrius; Bamlet, William R.; Berg, Christine D.; Boutron-Ruault, Marie-Christine; Buring, Julie E.; Bracci, Paige M.; Canzian, Federico; Clipp, Sandra; Cotterchio, Michelle; de Andrade, Mariza; Duell, Eric J.; Gaziano, J. Michael; Giovannucci, Edward L.; Goggins, Michael; Hallmans, Göran; Hankinson, Susan E.; Hassan, Manal; Howard, Barbara; Hunter, David J.; Hutchinson, Amy; Jenab, Mazda; Kaaks, Rudolf; Kooperberg, Charles; Krogh, Vittorio; Kurtz, Robert C.; Lynch, Shannon M.; McWilliams, Robert R.; Mendelsohn, Julie B.; Michaud, Dominique S.; Parikh, Hemang; Patel, Alpa V.; Peeters, Petra H.M.; Rajkovic, Aleksandar; Riboli, Elio; Rodriguez, Laudina; Seminara, Daniela; Shu, Xiao-Ou; Thomas, Gilles; Tjønneland, Anne; Tobias, Geoffrey S.; Trichopoulos, Dimitrios; Van Den Eeden, Stephen K.; Virtamo, Jarmo; Wactawski-Wende, Jean; Wang, Zhaoming; Wolpin, Brian M.; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Fraumeni, Joseph F.; Hoover, Robert N.; Hartge, Patricia; Chanock, Stephen J.

    2010-01-01

    We conducted a genome-wide association study (GWAS) of pancreatic cancer in 3,851 cases and 3,934 controls drawn from twelve prospective cohort studies and eight case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P=3.27×10−11; per allele odds ratio, OR 1.26, 95% CI=1.18-1.35) and rs9564966 (P=5.86×10−8; per allele OR 1.21, 95% CI=1.13-1.30) map to a non-genic region on chromosome 13q22.1. Five SNPs on 1q32.1 map to NR5A2; the strongest signal was rs3790844 (P=2.45×10−10; per allele OR 0.77, 95% CI=0.71-0.84). A single SNP, rs401681 (P=3.66×10−7; per allele OR 1.19, 95% CI=1.11-1.27) maps to the CLPTM1L-TERT locus on 5p15.33, associated with multiple cancers. Our study has identified common susceptibility loci for pancreatic cancer that warrant follow-up studies. PMID:20101243

  4. Replication of lung cancer susceptibility loci at chromosomes 15q25, 5p15, and 6p21: a pooled analysis from the International Lung Cancer Consortium.

    NARCIS (Netherlands)

    Truong, T.; Hung, R.J.; Amos, C.I.; Wu, X.; Bickeboller, H.; Rosenberger, A.; Sauter, W.; Illig, T.; Wichmann, H.E.; Risch, A.; Dienemann, H.; Kaaks, R.; Yang, P.; Jiang, R.; Wiencke, J.K.; Wrensch, M.; Hansen, H.; Kelsey, K.T.; Matsuo, K.; Tajima, K.; Schwartz, A.G.; Wenzlaff, A.; Seow, A.; Ying, C.; Staratschek-Jox, A.; Nurnberg, P.; Stoelben, E.; Wolf, J.; Lazarus, P.; Muscat, J.E.; Gallagher, C.J.; Zienolddiny, S.; Haugen, A.; Heijden, H.F. van der; Kiemeney, L.A.L.M.; Isla, D.; Mayordomo, J.I.; Rafnar, T.; Stefansson, K.; Zhang, Z.F.; Chang, S.C.; Kim, J.H.; Hong, Y.C.; Duell, E.J.; Andrew, A.S.; Lejbkowicz, F.; Rennert, G.; Muller, H.; Brenner, H.; Marchand, L. le; Benhamou, S.; Bouchardy, C.; Teare, M.D.; Xue, X.; McLaughlin, J.; Liu, G.; McKay, J.D.; Brennan, P.; Spitz, M.R.

    2010-01-01

    BACKGROUND: Genome-wide association studies have identified three chromosomal regions at 15q25, 5p15, and 6p21 as being associated with the risk of lung cancer. To confirm these associations in independent studies and investigate heterogeneity of these associations within specific subgroups, we cond

  5. Genome-wide search for strabismus susceptibility loci.

    Directory of Open Access Journals (Sweden)

    Fujiwara H

    2003-06-01

    Full Text Available The purpose of this study was to search for chromosomal susceptibility loci for comitant strabismus. Genomic DNA was isolated from 10mL blood taken from each member of 30 nuclear families in which 2 or more siblings are affected by either esotropia or exotropia. A genome-wide search was performed with amplification by polymerase chain reaction of 400 markers in microsatellite regions with approximately 10 cM resolution. For each locus, non-parametric affected sib-pair analysis and non-parametric linkage analysis for multiple pedigrees (Genehunter software, http://linkage.rockefeller.edu/soft/ were used to calculate multipoint lod scores and non-parametric linkage (NPL scores, respectively. In sib-pair analysis, lod scores showed basically flat lines with several peaks of 0.25 on all chromosomes. In non-parametric linkage analysis for multiple pedigrees, NPL scores showed one peak as high as 1.34 on chromosomes 1, 2, 4, 7, 10, 15, and 16, while 2 such peaks were found on chromosomes 3, 9, 11, 12, 18, and 20. Non-parametric linkage analysis for multiple pedigrees of 30 families with comitant strabismus suggested a number of chromosomal susceptibility loci. Our ongoing study involving a larger number of families will refine the accuracy of statistical analysis to pinpoint susceptibility loci for comitant strabismus.

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

    Science.gov (United States)

    Amin Al Olama, Ali; Kote-Jarai, Zsofia; Schumacher, Fredrick R.; Wiklund, Fredrik; Berndt, Sonja I.; Benlloch, Sara; Giles, Graham G.; Severi, Gianluca; Neal, David E.; Hamdy, Freddie C.; Donovan, Jenny L.; Hunter, David J.; Henderson, Brian E.; Thun, Michael J.; Gaziano, Michael; Giovannucci, Edward L.; Siddiq, Afshan; Travis, Ruth C.; Cox, David G.; Canzian, Federico; Riboli, Elio; Key, Timothy J.; Andriole, Gerald; Albanes, Demetrius; Hayes, Richard B.; Schleutker, Johanna; Auvinen, Anssi; Tammela, Teuvo L.J.; Weischer, Maren; Stanford, Janet L.; Ostrander, Elaine A.; Cybulski, Cezary; Lubinski, Jan; Thibodeau, Stephen N.; Schaid, Daniel J.; Sorensen, Karina D.; Batra, Jyotsna; Clements, Judith A.; Chambers, Suzanne; Aitken, Joanne; Gardiner, Robert A.; Maier, Christiane; Vogel, Walther; Dörk, Thilo; Brenner, Hermann; Habuchi, Tomonori; Ingles, Sue; John, Esther M.; Dickinson, Joanne L.; Cannon-Albright, Lisa; Teixeira, Manuel R.; Kaneva, Radka; Zhang, Hong-Wei; Lu, Yong-Jie; Park, Jong Y.; Cooney, Kathleen A.; Muir, Kenneth R.; Leongamornlert, Daniel A.; Saunders, Edward; Tymrakiewicz, Malgorzata; Mahmud, Nadiya; Guy, Michelle; Govindasami, Koveela; O'Brien, Lynne T.; Wilkinson, Rosemary A.; Hall, Amanda L.; Sawyer, Emma J.; Dadaev, Tokhir; Morrison, Jonathan; Dearnaley, David P.; Horwich, Alan; Huddart, Robert A.; Khoo, Vincent S.; Parker, Christopher C.; Van As, Nicholas; Woodhouse, Christopher J.; Thompson, Alan; Dudderidge, Tim; Ogden, Chris; Cooper, Colin S.; Lophatonanon, Artitaya; Southey, Melissa C.; Hopper, John L.; English, Dallas; Virtamo, Jarmo; Le Marchand, Loic; Campa, Daniele; Kaaks, Rudolf; Lindstrom, Sara; Diver, W. Ryan; Gapstur, Susan; Yeager, Meredith; Cox, Angela; Stern, Mariana C.; Corral, Roman; Aly, Markus; Isaacs, William; Adolfsson, Jan; Xu, Jianfeng; Zheng, S. Lilly; Wahlfors, Tiina; Taari, Kimmo; Kujala, Paula; Klarskov, Peter; Nordestgaard, Børge G.; Røder, M. Andreas; Frikke-Schmidt, Ruth; Bojesen, Stig E.; FitzGerald, Liesel M.; Kolb, Suzanne; Kwon, Erika M.; Karyadi, Danielle M.; Orntoft, Torben Falck; Borre, Michael; Rinckleb, Antje; Luedeke, Manuel; Herkommer, Kathleen; Meyer, Andreas; Serth, Jürgen; Marthick, James R.; Patterson, Briony; Wokolorczyk, Dominika; Spurdle, Amanda; Lose, Felicity; McDonnell, Shannon K.; Joshi, Amit D.; Shahabi, Ahva; Pinto, Pedro; Santos, Joana; Ray, Ana; Sellers, Thomas A.; Lin, Hui-Yi; Stephenson, Robert A.; Teerlink, Craig; Muller, Heiko; Rothenbacher, Dietrich; Tsuchiya, Norihiko; Narita, Shintaro; Cao, Guang-Wen; Slavov, Chavdar; Mitev, Vanio; Chanock, Stephen; Gronberg, Henrik; Haiman, Christopher A.; Kraft, Peter; Easton, Douglas F.; Eeles, Rosalind A.

    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 including 5953 cases of aggressive PrCa and 11 463 controls (men without PrCa). We computed association tests for approximately 2.6 million SNPs and followed up the most significant SNPs by genotyping 49 121 samples in 29 studies through the international PRACTICAL and BPC3 consortia. We not only confirmed the association of a PrCa susceptibility locus, rs11672691 on chromosome 19, but also showed an association with aggressive PrCa [odds ratio = 1.12 (95% confidence interval 1.03–1.21), P = 1.4 × 10−8]. This report describes a genetic variant which is associated with aggressive PrCa, which is a type of PrCa associated with a poorer prognosis. PMID:23065704

  7. 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. PMID:27386562

  8. 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

  9. 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.

  10. 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...

  11. Unmasking risk loci: DNA methylation illuminates the biology of cancer predisposition: analyzing DNA methylation of transcriptional enhancers reveals missed regulatory links between cancer risk loci and genes.

    Science.gov (United States)

    Aran, Dvir; Hellman, Asaf

    2014-02-01

    Paradoxically, DNA sequence polymorphisms in cancer risk loci rarely correlate with the expression of cancer genes. Therefore, the molecular mechanism underlying an individual's susceptibility to cancer has remained largely unknown. However, recent evaluations of the correlations between DNA methylation and gene expression levels across healthy and cancerous genomes have revealed enrichment of disease-related DNA methylation variations within disease-associated risk loci. Moreover, it appears that transcriptional enhancers embedded in cancer risk loci often contain DNA methylation sites that closely define the expression of prominent cancer genes, despite the lack of significant correlations between gene expression levels and the surrounding disease-associated polymorphic sequences. We suggest that DNA methylation variations may obscure the effect of co-residing risk sequence alleles. Analysis of enhancer methylation data may help to reveal the regulatory circuits underlying predisposition to cancers and other common diseases.

  12. Replication study for the association of seven genome- GWAS-identified Loci with susceptibility to ovarian cancer in the Polish population.

    Science.gov (United States)

    Mostowska, Adrianna; Sajdak, Stefan; Pawlik, Piotr; Markowska, Janina; Pawałowska, Monika; Lianeri, Margarita; Jagodzinski, Paweł P

    2015-04-01

    We investigated the previously-demonstrated association of seven genome-wide association studies (GWAS) single nucleotide polymorphisms (SNPs), including rs2072590 (HOXD-AS1), rs2665390 (TIPARP), rs10088218 and rs10098821 (8q24), rs3814113 (9p22), rs9303542 (SKAP1) and rs2363956 (ANKLE1), as risk factors of epithelial ovarian tumors (EOTs). These SNPs were genotyped in two hundred seventy three patients with EOTs and four hundred sixty four unrelated healthy females from the Polish population. We observed the lowest p values of the trend test for the 9p22 rs3814113 and 8q24 rs10098821 SNPs in patients with all subtypes of ovarian cancer (p(trend) = 0.010 and p(trend) = 0.014, respectively). There were also significant p values for the trend of the 9p22 rs3814113 and the 8q24 rs10098821 SNPs for serous histological subtypes of ovarian cancer (p(trend) = 0.006, p(trend) = 0.033, respectively). Moreover, stratification of the patients based on their histological type of cancer demonstrated, in the dominant hereditary model, a significant association of the 9p22 rs3814113 SNP with serous ovarian carcinoma OR = 0.532 (95% CI = 0.342 - 0.827, p = 0.005, p(corr) = 0.035). Despite the relatively small sample size of cases and controls, our studies confirmed some of the previously-demonstrated GWAS SNPs as genetic risk factors for EOTs. PMID:25173882

  13. 11q13 is a Susceptibility Locus for Hormone Receptor Positive Breast Cancer

    DEFF Research Database (Denmark)

    Lambrechts, Diether; Truong, Therese; Justenhoven, Christina;

    2012-01-01

    A recent two-stage genome-wide association study (GWAS) identified five novel breast cancer susceptibility loci on chromosomes 9, 10 and 11. To provide more reliable estimates of the relative risk associated with these loci and investigate possible heterogeneity by subtype of breast cancer, we ge...

  14. 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

  15. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33

    OpenAIRE

    Petersen, Gloria M.; Amundadottir, Laufey; Fuchs, Charles S; Kraft, Peter; Stolzenberg-Solomon, Rachael Z; Jacobs, Kevin B.; Arslan, Alan A.; Bueno-de-Mesquita, H Bas; Gallinger, Steven; Gross, Myron; Helzlsouer, Kathy; Holly, Elizabeth A.; Jacobs, Eric J.; Klein, Alison P; LaCroix, Andrea

    2010-01-01

    We conducted a genome-wide association study (GWAS) of pancreatic cancer in 3,851 cases and 3,934 controls drawn from twelve prospective cohort studies and eight case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P=3.27×10−11; per allele odds ra...

  16. 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; Silva, Isabel dos Santos; 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 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 < 5 × 10−8). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility. PMID:23535729

  17. Mechanisms of inherited cancer susceptibility

    Institute of Scientific and Technical Information of China (English)

    Shirley HODGSON

    2008-01-01

    A small proportion of many cancers are due to inherited mutations in genes, which result in a high risk to the individual of developing specific cancers. There are several classes of genes that may be involved: tumour suppressor genes, oncogenes, genes encoding proteins involved in DNA repair and cell cycle control, and genes involved in stimulating the angiogenic pathway. Alterations in susceptibility to cancer may also be due to variations in genes involved in carcinogen metabolism. This review discusses examples of some of these genes and the associated clinical conditions caused by the inheritance of mutations in such genes.

  18. Lupus Nephritis Susceptibility Loci in Women with Systemic Lupus Erythematosus

    OpenAIRE

    Chung, Sharon A.; Brown, Elizabeth E; Williams, Adrienne H; Ramos, Paula S.; Berthier, Celine C.; Bhangale, Tushar; Alarcon-Riquelme, Marta E; Behrens, Timothy W.; Criswell, Lindsey A.; Graham, Deborah Cunninghame; Demirci, F. Yesim; Jeffrey C Edberg; Gaffney, Patrick M.; Harley, John B.; Jacob, Chaim O.

    2014-01-01

    Lupus nephritis is a manifestation of SLE resulting from glomerular immune complex deposition and inflammation. Lupus nephritis demonstrates familial aggregation and accounts for significant morbidity and mortality. We completed a meta-analysis of three genome-wide association studies of SLE to identify lupus nephritis–predisposing loci. Through genotyping and imputation, >1.6 million markers were assessed in 2000 unrelated women of European descent with SLE (588 patients with lupus nephritis...

  19. Novel genetic loci associated with prostate cancer in the Japanese population

    Institute of Scientific and Technical Information of China (English)

    Yin Sun; Jiaoti Huang

    2011-01-01

    @@ Takata et al.1 recently reported in Nature Genetics that they have identified five nove associated with prostate cancer in the Japanese population.Using most updated Illumina Quad BeadChip to genotype 3001 prostate cancer patients and 5415 control subjects,they identified263 single-nucleotide polymorphisms(SNPs)showing significant association with prostate cancer in Japan.Further analysis indicated that 80 SNPs reside in the previously known regions,and five of them are novel susceptibility loci associated with the prostate cancer.

  20. Sequencing-based approach identified three new susceptibility loci for psoriasis.

    Science.gov (United States)

    Sheng, Yujun; Jin, Xin; Xu, Jinhua; Gao, Jinping; Du, Xiaoqing; Duan, Dawei; Li, Bing; Zhao, Jinhua; Zhan, Wenying; Tang, Huayang; Tang, Xianfa; Li, Yang; Cheng, Hui; Zuo, Xianbo; Mei, Junpu; Zhou, Fusheng; Liang, Bo; Chen, Gang; Shen, Changbing; Cui, Hongzhou; Zhang, Xiaoguang; Zhang, Change; Wang, Wenjun; Zheng, Xiaodong; Fan, Xing; Wang, Zaixing; Xiao, Fengli; Cui, Yong; Li, Yingrui; Wang, Jun; Yang, Sen; Xu, Lei; Sun, Liangdan; Zhang, Xuejun

    2014-01-01

    In a previous large-scale exome sequencing analysis for psoriasis, we discovered seven common and low-frequency missense variants within six genes with genome-wide significance. Here we describe an in-depth analysis of noncoding variants based on sequencing data (10,727 cases and 10,582 controls) with replication in an independent cohort of Han Chinese individuals consisting of 4,480 cases and 6,521 controls to identify additional psoriasis susceptibility loci. We confirmed four known psoriasis susceptibility loci (IL12B, IFIH1, ERAP1 and RNF114; 2.30 × 10(-20)≤P≤2.41 × 10(-7)) and identified three new susceptibility loci: 4q24 (NFKB1) at rs1020760 (P=2.19 × 10(-8)), 12p13.3 (CD27-LAG3) at rs758739 (P=4.08 × 10(-8)) and 17q12 (IKZF3) at rs10852936 (P=1.96 × 10(-8)). Two suggestive loci, 3p21.31 and 17q25, are also identified with P<1.00 × 10(-6). The results of this study increase the number of confirmed psoriasis risk loci and provide novel insight into the pathogenesis of psoriasis. PMID:25006012

  1. Investigation of single nucleotide polymorphism loci susceptible to degradation by ultraviolet light.

    Science.gov (United States)

    Machida, Mitsuyo; Taki, Takashi; Shimada, Ryo; Kibayashi, Kazuhiko

    2016-10-01

    DNA in biological fluids is often degraded by environmental factors. Given that single nucleotide polymorphism (SNP) analyses require shorter amplicons than short tandem repeat (STR) analyses do, their use in human identification using degraded samples has recently attracted attention. Although various SNP loci are used to analyze degraded samples, it is unclear which ones are more appropriate. To characterize and identify SNP loci that are susceptible or resistant to degradation, we artificially degraded DNA, obtained from buccal swabs from 11 volunteers, by exposure to ultraviolet (UV) light for different durations (254 nm for 5, 15, 30, 60, or 120 min) and analyzed the resulting SNP loci. DNA degradation was assessed using gel electrophoresis, STR, and SNP profiling. DNA fragmentation occurred within 5 min of UV irradiation, and successful STR and SNP profiling decreased with increasing duration. However, 73% of SNP loci were still detected correctly in DNA samples irradiated for 120 min, a dose that rendered STR loci undetectable. The unsuccessful SNP typing and the base call failure of nucleotides neighboring the SNPs were traced to rs1031825, and we found that this SNP was susceptible to UV light. When comparing the detection efficiencies of STR and SNP loci, SNP typing was more successful than STR typing, making it effective when using degraded DNA. However, it is important to use rs1031825 with caution when interpreting SNP analyses of degraded DNA.

  2. Identification of multiple independent susceptibility loci in the HLA region in Behcet's disease

    NARCIS (Netherlands)

    Hughes, Travis; Coit, Patrick; Adler, Adam; Yilmaz, Vuslat; Aksu, Kenan; Duzgun, Nursen; Keser, Gokhan; Cefle, Ayse; Yazici, Ayten; Ergen, Andac; Alpsoy, Erkan; Salvarani, Carlo; Casali, Bruno; Koetter, Ina; Gutierrez-Achury, Javier; Wijmenga, Cisca; Direskeneli, Haner; Saruhan-Direskeneli, Guher; Sawalha, Amr H.

    2013-01-01

    Behcet's disease is an inflammatory disease characterized by recurrent oral and genital ulcers and significant organ involvement. Localizing the genetic association between HLA-B*51 and Behcet's disease and exploring additional susceptibility loci in the human leukocyte antigen (HLA) region are comp

  3. A systemic sclerosis and systemic lupus erythematosus pan-meta-GWAS reveals new shared susceptibility loci.

    Science.gov (United States)

    Martin, Jose-Ezequiel; Assassi, Shervin; Diaz-Gallo, Lina-Marcela; Broen, Jasper C; Simeon, Carmen P; Castellvi, Ivan; Vicente-Rabaneda, Esther; Fonollosa, Vicente; Ortego-Centeno, Norberto; González-Gay, Miguel A; Espinosa, Gerard; Carreira, Patricia; Camps, Mayte; Sabio, Jose M; D'alfonso, Sandra; Vonk, Madelon C; Voskuyl, Alexandre E; Schuerwegh, Annemie J; Kreuter, Alexander; Witte, Torsten; Riemekasten, Gabriella; Hunzelmann, Nicolas; Airo, Paolo; Beretta, Lorenzo; Scorza, Raffaella; Lunardi, Claudio; Van Laar, Jacob; Chee, Meng May; Worthington, Jane; Herrick, Arianne; Denton, Christopher; Fonseca, Carmen; Tan, Filemon K; Arnett, Frank; Zhou, Xiaodong; Reveille, John D; Gorlova, Olga; Koeleman, Bobby P C; Radstake, Timothy R D J; Vyse, Timothy; Mayes, Maureen D; Alarcón-Riquelme, Marta E; Martin, Javier

    2013-10-01

    Systemic sclerosis (SSc) and systemic lupus erythematosus (SLE) are two archetypal systemic autoimmune diseases which have been shown to share multiple genetic susceptibility loci. In order to gain insight into the genetic basis of these diseases, we performed a pan-meta-analysis of two genome-wide association studies (GWASs) together with a replication stage including additional SSc and SLE cohorts. This increased the sample size to a total of 21,109 (6835 cases and 14,274 controls). We selected for replication 19 SNPs from the GWAS data. We were able to validate KIAA0319L (P = 3.31 × 10(-11), OR = 1.49) as novel susceptibility loci for SSc and SLE. Furthermore, we also determined that the previously described SLE susceptibility loci PXK (P = 3.27 × 10(-11), OR = 1.20) and JAZF1 (P = 1.11 × 10(-8), OR = 1.13) are shared with SSc. Supporting these new discoveries, we observed that KIAA0319L was overexpressed in peripheral blood cells of SSc and SLE patients compared with healthy controls. With these, we add three (KIAA0319L, PXK and JAZF1) and one (KIAA0319L) new susceptibility loci for SSc and SLE, respectively, increasing significantly the knowledge of the genetic basis of autoimmunity.

  4. 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 Euro

  5. 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; Lim, Henry W.; Voorhees, John J.; Weichenthal, Michael; Wichmann, H. Erich; Chandran, Vinod; Rosen, Cheryl F.; Rahman, Proton; Gladman, Dafna D.; Griffiths, Christopher E. M.; Reis, Andre; Kere, Juha; Nair, Rajan P.; Franke, Andre; Barker, Jonathan N. W. N.; Abecasis, Goncalo R.; Elder, James T.; Trembath, Richard C.; Duffin, Kristina Callis; Helms, Cindy; Goldgar, David; Li, Yun; Paschall, Justin; Malloy, Mary J.; Pullinger, Clive R.; Kane, John P.; Gardner, Jennifer; Perlmutter, Amy; Miner, Andrew; Feng, Bing Jian; Hiremagalore, Ravi; Ike, Robert W.; Christophers, Enno; Henseler, Tilo; Ruether, Andreas; Schrodi, Steven J.; Prahalad, Sampath; Guthery, Stephen L.; Fischer, Judith; Liao, Wilson; Kwok, Pui; Menter, Alan; Lathrop, G. Mark; Wise, C.; Begovich, Ann B.; Onoufriadis, Alexandros; Weale, Michael E.; Hofer, Angelika; Salmhofer, Wolfgang; Wolf, Peter; Kainu, Kati; Saarialho-Kere, Ulpu; Suomela, Sari; Badorf, Petra; Hueffmeier, Ulrike; Kurrat, Werner; Kuester, Wolfgang; Lascorz, Jesus; Moessner, Rotraut; Schuermeier-Horst, Funda; Staender, Markward; Traupe, Heiko; Bergboer, Judith G. M.; den Heijer, Martin; van de Kerkhof, Peter C.; Zeeuwen, Patrick L. J. M.; Barnes, Louise; Campbell, Linda E.; Cusack, Caitriona; Coleman, Ciara; Conroy, Judith; Ennis, Sean; Fitzgerald, Oliver; Gallagher, Phil; Irvine, Alan D.; Kirby, Brian; Markham, Trevor; McLean, W. H. Irwin; McPartlin, Joe; Rogers, Sarah F.; Ryan, Anthony W.; Zawirska, Agnieszka; Giardina, Emiliano; Lepre, Tiziana; Perricone, Carlo; Martin-Ezquerra, Gemma; Pujol, Ramon M.; Riveira-Munoz, Eva; Inerot, Annica; Naluai, Asa T.; Mallbris, Lotus; Wolk, Katarina; Leman, Joyce; Barton, Anne; Warren, Richard B.; Young, Helen S.; Ricaño Ponce, Isis; Trynka, Gosia; Pellett, Fawnda J.; Henschel, Andrew; Aurand, Marin; Bebo, Bruce; Gieger, Christian; Illig, Thomas; Moebus, Susanne; Joeckel, Karl-Heinz; Erbe, Raimund; Donnelly, Peter; Peltonen, Leena; Blackwell, Jenefer M.; Bramon, Elvira; Brown, Matthew A.; Casas, Juan P.; Corvin, Aiden; Craddock, Nicholas; Duncanson, Audrey; Jankowski, Janusz; Markus, Hugh S.; Mathew, Christopher G.; McCarthy, Mark I.; Palmer, Colin N. A.; Plomin, Robert; Rautanen, Anna; Sawcer, Stephen J.; Samani, Nilesh; Viswanathan, Ananth C.; Wood, Nicholas W.; Bellenguez, Celine; Freeman, Colin; Hellenthal, Garrett; Giannoulatou, Eleni; Pirinen, Matti; Su, Zhan; Hunt, Sarah E.; Gwilliam, Rhian; Bumpstead, Suzannah J.; Dronov, Serge; Gillman, Matthew; Gray, Emma; Hammond, Naomi; Jayakumar, Alagurevathi; McCann, Owen T.; Liddle, Jennifer; Perez, Marc L.; Potter, Simon C.; Ravindrarajah, Radhi; Ricketts, Michelle; Waller, Matthew; Weston, Paul; Widaa, Sara; Whittaker, Pamela

    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

  6. 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

  7. ENVIRONMENTAL FACTORS AFFECTING BREAST CANCER SUSCEPTIBILITY

    Science.gov (United States)

    Environmental Factors Affecting Breast Cancer SusceptibilitySuzanne. E. FentonUS EPA, ORD, MD-67 NHEERL, Reproductive Toxicology Division, Research Triangle Park, NC 27711.Breast cancer is still the most common malignancy afflicting women in the Western world. Alt...

  8. The localization of type 2 diabetes susceptibility gene loci in northern Chinese Han families

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    We conducted a genome-wide scan,in which 358 well distributed fluorescent dye-labe- led microsatellite marker sets were applied in 32 Chinese Han type 2 diabetes families from Northern China to search for the susceptibility gene loci.The data collected from screening all the chromosomes of genome were genotyped by using genescan and genotyping software,then,parametric and non-parametric multipoint test,and affected sib-pair analysis as well,were used to analyze the data.We identified some susceptibility gene loci residing in chromosomes 1,12,18,20,respectively,or precisely,located around D1S214,D1S207,D1S218,D1S235,D12S336,D18S61 and D20S118.The comparison of this result with those from other regions and races reflected the complexity and heterogeneity of type 2 diabetes.

  9. 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....

  10. Investigation of rheumatoid arthritis susceptibility loci in juvenile idiopathic arthritis confirms high degree of overlap

    Science.gov (United States)

    Hinks, Anne; Cobb, Joanna; Sudman, Marc; Eyre, Stephen; Martin, Paul; Flynn, Edward; Packham, Jonathon; Barton, Anne; Worthington, Jane; Langefeld, Carl D; Glass, David N; Thompson, Susan D; Thomson, Wendy

    2012-01-01

    Objectives Rheumatoid arthritis (RA) shares some similar clinical and pathological features with juvenile idiopathic arthritis (JIA); indeed, the strategy of investigating whether RA susceptibility loci also confer susceptibility to JIA has already proved highly successful in identifying novel JIA loci. A plethora of newly validated RA loci has been reported in the past year. Therefore, the aim of this study was to investigate these single nucleotide polymorphisms (SNP) to determine if they were also associated with JIA. Methods Thirty-four SNP that showed validated association with RA and had not been investigated previously in the UK JIA cohort were genotyped in JIA cases (n=1242), healthy controls (n=4281), and data were extracted for approximately 5380 UK Caucasian controls from the Wellcome Trust Case–Control Consortium 2. Genotype and allele frequencies were compared between cases with JIA and controls using PLINK. A replication cohort of 813 JIA cases and 3058 controls from the USA was available for validation of any significant findings. Results Thirteen SNP showed significant association (p<0.05) with JIA and for all but one the direction of association was the same as in RA. Of the eight loci that were tested, three showed significant association in the US cohort. Conclusions A novel JIA susceptibility locus was identified, CD247, which represents another JIA susceptibility gene whose protein product is important in T-cell activation and signalling. The authors have also confirmed association of the PTPN2 and IL2RA genes with JIA, both reaching genome-wide significance in the combined analysis. PMID:22294642

  11. Genome-wide association study of ankylosing spondylitis identifies non-MHC susceptibility loci

    OpenAIRE

    Reveille, John D.; Sims, Anne-Marie; Danoy, Patrick; Evans, David M; Leo, Paul; Pointon, Jennifer J.; Jin, Rui; Zhou, Xiaodong; Bradbury, Linda A.; Appleton, Louise H; Davis, John C.; Diekman, Laura; Doan, Tracey; Dowling, Alison; Duan, Ran

    2010-01-01

    To identify susceptibility loci for ankylosing spondylitis, we undertook a genome-wide association study in 2,053 unrelated ankylosing spondylitis cases among people of European descent and 5,140 ethnically matched controls, with replication in an independent cohort of 898 ankylosing spondylitis cases and 1,518 controls. Cases were genotyped with Illumina HumHap370 genotyping chips. In addition to strong association with the major histocompatibility complex (MHC; P < 10−800), we found associa...

  12. Association analyses identify six new psoriasis susceptibility loci in the Chinese population

    OpenAIRE

    Sun, Liang-Dan; Cheng, Hui; Wang, Zai-Xing; Zhang, An-Ping; Wang, Pei-Guang; Xu, Jin-Hua; Zhu, Qi-Xing; Zhou, Hai-Sheng; Buchert, Eva; Zhang, Fu-Ren; Pu, Xiong-Ming; Yang, Xue-Qin; Zhang, Jian-Zhong; Xu, Ai-E; Wu, Ri-Na

    2010-01-01

    We extended our previous GWAS for psoriasis with a a multistage replication study including 8,312 cases and 12,919 controls from China as well as 3,293 cases, 4,188 controls from Germany and the USA, and 254 nuclear families from the USA. We identified 6 new susceptibility loci associated to psoriasis in Chinese, containing candidate genes ERAP1, PTTG1, CSMD1, GJB2, SERPINB8, ZNF816A (PCombined

  13. Whole-genome association studies of alcoholism with loci linked to schizophrenia susceptibility

    OpenAIRE

    Kim Youngchul; Namkung Junghyun; Park Taesung

    2005-01-01

    Abstract Background Alcoholism is a complex disease. There have been many reports on significant comorbidity between alcoholism and schizophrenia. For the genetic study of complex diseases, association analysis has been recommended because of its higher power than that of the linkage analysis for detecting genes with modest effects on disease. Results To identify alcoholism susceptibility loci, we performed genome-wide single-nucleotide polymorphisms (SNP) association tests, which yielded 489...

  14. Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms

    Science.gov (United States)

    Horikoshi, Momoko; Pasquali, Lorenzo; Wiltshire, Steven; Huyghe, Jeroen R.; Mahajan, Anubha; Asimit, Jennifer L.; Ferreira, Teresa; Locke, Adam E.; Robertson, Neil R.; Wang, Xu; Sim, Xueling; Fujita, Hayato; Hara, Kazuo; Young, Robin; Zhang, Weihua; Choi, Sungkyoung; Chen, Han; Kaur, Ismeet; Takeuchi, Fumihiko; Fontanillas, Pierre; Thuillier, Dorothée; Yengo, Loic; Below, Jennifer E.; Tam, Claudia H.T.; Wu, Ying; Abecasis, Gonçalo; Altshuler, David; Bell, Graeme I.; Blangero, John; Burtt, Noél P.; Duggirala, Ravindranath; Florez, Jose C.; Hanis, Craig L.; Seielstad, Mark; Atzmon, Gil; Chan, Juliana C.N.; Ma, Ronald C.W.; Froguel, Philippe; Wilson, James G.; Bharadwaj, Dwaipayan; Dupuis, Josee; Meigs, James B.; Cho, Yoon Shin; Park, Taesung; Kooner, Jaspal S.; Chambers, John C.; Saleheen, Danish; Kadowaki, Takashi; Tai, E. Shyong; Mohlke, Karen L.; Cox, Nancy J.; Ferrer, Jorge; Zeggini, Eleftheria; Kato, Norihiro; Teo, Yik Ying; Boehnke, Michael; McCarthy, Mark I.; Morris, Andrew P.

    2016-01-01

    To gain insight into potential regulatory mechanisms through which the effects of variants at four established type 2 diabetes (T2D) susceptibility loci (CDKAL1, CDKN2A-B, IGF2BP2 and KCNQ1) are mediated, we undertook transancestral fine-mapping in 22 086 cases and 42 539 controls of East Asian, European, South Asian, African American and Mexican American descent. Through high-density imputation and conditional analyses, we identified seven distinct association signals at these four loci, each with allelic effects on T2D susceptibility that were homogenous across ancestry groups. By leveraging differences in the structure of linkage disequilibrium between diverse populations, and increased sample size, we localised the variants most likely to drive each distinct association signal. We demonstrated that integration of these genetic fine-mapping data with genomic annotation can highlight potential causal regulatory elements in T2D-relevant tissues. These analyses provide insight into the mechanisms through which T2D association signals are mediated, and suggest future routes to understanding the biology of specific disease susceptibility loci. PMID:26911676

  15. Six novel susceptibility Loci for early-onset androgenetic alopecia and their unexpected association with common diseases

    NARCIS (Netherlands)

    Li, R.; Brockschmidt, F.F.; Kiefer, A.K.; Stefansson, H.; Nyholt, D.R.; Song, K.; Vermeulen, S.; Kanoni, S.; Glass, D.; Medland, S.E.; Dimitriou, M.; Waterworth, D.; Tung, J.Y.; Geller, F.; Heilmann, S.; Hillmer, A.M.; Bataille, V.; Eigelshoven, S.; Hanneken, S.; Moebus, S.; Herold, C.; Heijer, M. den; Montgomery, G.W.; Deloukas, P.; Eriksson, N.; Heath, A.C.; Becker, T.; Sulem, P.; Mangino, M.; Vollenweider, P.; Spector, T.D.; Dedoussis, G.; Martin, N.G.; Kiemeney, L.A.; Mooser, V.; Stefansson, K.; Hinds, D.A.; Nothen, M.M.; Richards, J.B.

    2012-01-01

    Androgenetic alopecia (AGA) is a highly heritable condition and the most common form of hair loss in humans. Susceptibility loci have been described on the X chromosome and chromosome 20, but these loci explain a minority of its heritable variance. We conducted a large-scale meta-analysis of seven g

  16. European genome-wide association study identifies SLC14A1 as a new urinary bladder cancer susceptibility gene

    NARCIS (Netherlands)

    Rafnar, T.; Vermeulen, H.H.M.; Sulem, P.; Thorleifsson, G.; Aben, K.K.H.; Witjes, J.A.; Grotenhuis, A.J.; Verhaegh, G.W.C.T.; Hulsbergen- van de Kaa, C.A.; Besenbacher, S.; Gudbjartsson, D.; Stacey, S.N.; Gudmundsson, J.; Johannsdottir, H.; Bjarnason, H.; Zanon, C.; Helgadottir, H.; Jonasson, J.G.; Tryggvadottir, L.; Jonsson, E.; Geirsson, G.; Nikulasson, S.; Petursdottir, V.; Bishop, D.T.; Chung-Sak, S.; Choudhury, A.; Elliott, F.; Barrett, J.H.; Knowles, M.A.; Verdier, P. de; Ryk, C.; Lindblom, A.; Rudnai, P.; Gurzau, E.; Koppova, K.; Vineis, P.; Polidoro, S.; Guarrera, S.; Sacerdote, C.; Panadero, A.; Sanz-Velez, J.I.; Sanchez, M.; Valdivia, G.; Garcia-Prats, M.D.; Hengstler, J.G.; Selinski, S.; Gerullis, H.; Ovsiannikov, D.; Khezri, A.; Aminsharifi, A.; Malekzadeh, M.; Berg, L.H. van den; Ophoff, R.A.; Veldink, J.H.; Zeegers, M.P.; Kellen, E.; Fostinelli, J.; Andreoli, D.; Arici, C.; Porru, S.; Buntinx, F.; Ghaderi, A.; Golka, K.; Mayordomo, J.I.; Matullo, G.; Kumar, R.; Steineck, G.; Kiltie, A.E.; Kong, A.; Thorsteinsdottir, U.; Stefansson, K.; Kiemeney, L.A.L.M.

    2011-01-01

    Three genome-wide association studies in Europe and the USA have reported eight urinary bladder cancer (UBC) susceptibility loci. Using extended case and control series and 1000 Genomes imputations of 5 340 737 single-nucleotide polymorphisms (SNPs), we searched for additional loci in the European G

  17. Metabolic polymorphisms and cancer susceptibility.

    Science.gov (United States)

    Smith, G; Stanley, L A; Sim, E; Strange, R C; Wolf, C R

    1995-01-01

    The vast majority of cancers arise as a consequence of exposure to environmental agents that are toxic or mutagenic. In response to this, all higher organisms have evolved complex mechanisms by which they can protect themselves from environmental challenge. In many cases, this involves an adaptive response in which the levels of expression of enzymes active in the metabolism and detoxification of the foreign chemical are induced. The best characterized of these enzyme systems are the cytochrome P450s, the GSTs and the NATs. An unfortunate consequence of many of these reactions, however, is the creation of a toxic or mutagenic reaction product from chemicals that require metabolic activation before realizing their full carcinogenic potential. Altered expression of one or more of these drug metabolizing enzymes can therefore be predicted to have profound toxicological consequences. Genetic polymorphisms with well defined associated phenotypes have now been characterized in P450, GST and NAT genes. Indeed, many of these polymorphisms have been associated with decreased or increased metabolism of many tumour promoters and chemical carcinogens and hence offer protection against or increased susceptibility to many distinct tumour types.

  18. The association between candidate migraine susceptibility loci and severe migraine phenotype in a clinical sample

    DEFF Research Database (Denmark)

    Esserlind, Ann-Louise; Christensen, Anne Francke; Steinberg, Stacy;

    2016-01-01

    INTRODUCTION: The objective of the study was to follow up and to test whether 12 previously identified migraine-associated single nucleotide polymorphisms were associated as risk factors and/or modifying factors for severe migraine traits in a Danish clinic-based population. METHODS: Semi...... in both a case-control and case-only logistic regression model. RESULTS: We successfully replicated five out of the 12 previously reported loci and confirmed the same direction of effects for all the 12 single nucleotide polymorphisms. In line with the recently published genome-wide association meta...... polymorphisms showed nominal association with many lifetime attacks and prolonged migraine attacks. CONCLUSION: Our study supports previously reported findings on the association of several single nucleotide polymorphisms with migraine. It also suggests that the migraine susceptibility loci may be risk factors...

  19. A genome-wide association study identifies potential susceptibility loci for Hirschsprung disease.

    Directory of Open Access Journals (Sweden)

    Jeong-Hyun Kim

    Full Text Available Hirschsprung disease (HSCR is a congenital and heterogeneous disorder characterized by the absence of intramural nervous plexuses along variable lengths of the hindgut. Although RET is a well-established risk factor, a recent genome-wide association study (GWAS of HSCR has identified NRG1 as an additional susceptibility locus. To discover additional risk loci, we performed a GWAS of 123 sporadic HSCR patients and 432 unaffected controls using a large-scale platform with coverage of over 1 million polymorphic markers. The result was that our study replicated the findings of RET-CSGALNACT2-RASGEF1A genomic region (rawP = 5.69×10(-19 before a Bonferroni correction; corrP = 4.31×10(-13 after a Bonferroni correction and NRG1 as susceptibility loci. In addition, this study identified SLC6A20 (adjP = 2.71×10(-6, RORA (adjP = 1.26×10(-5, and ABCC9 (adjP = 1.86×10(-5 as new potential susceptibility loci under adjusting the already known loci on the RET-CSGALNACT2-RASGEF1A and NRG1 regions, although none of the SNPs in these genes passed the Bonferroni correction. In further subgroup analysis, the RET-CSGALNACT2-RASGEF1A genomic region was observed to have different significance levels among subgroups: short-segment (S-HSCR, corrP = 1.71×10(-5, long-segment (L-HSCR, corrP = 6.66×10(-4, and total colonic aganglionosis (TCA, corrP>0.05. This differential pattern in the significance level suggests that other genomic loci or mechanisms may affect the length of aganglionosis in HSCR subgroups during enteric nervous system (ENS development. Although functional evaluations are needed, our findings might facilitate improved understanding of the mechanisms of HSCR pathogenesis.

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

    DEFF Research Database (Denmark)

    Plant, Darren; Flynn, Edward; Mbarek, Hamdi;

    2010-01-01

    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 low-to-m...

  1. AN EPIDEMIOLOGY AND MOLECULAR GENETIC STUDY ON BREAST CANCER SUSCEPTIBILITY

    Institute of Scientific and Technical Information of China (English)

    贾卫华; 王继先; 李本孝; 李征

    2000-01-01

    Objectives. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-based case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel art and Falconer methods were used to analyze the segregation ratio and heritability. Polymerase chain reaction (PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significartly, OR is 3.905 ( 95 % CI = 1.079 ~ 14.13), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 9.99%, which is larger than that in second, third degree and non-blood relatives. Segregation ratio is 0.021, heritability among first degree relatives is 35.6 ± 5.8%. Frequencies of LOH at BRCA1 and BRCA2 loci in sporadic breast cancer are 6.12% and 5.77% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome aberrations were observed. Conclusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.

  2. AN EPIDEMIOLOGY AND MOLECULAR GENETIC STUDY ON BREAST CANCER SUSCEPTIBILITY

    Institute of Scientific and Technical Information of China (English)

    贾卫华; 王继先; 李本孝; 李征

    2000-01-01

    Obieaites. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-besed case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel-Gart and Falconer methods were used to analyze the segregation ratio and heritability. Polymemse chain reaction (PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significantly, OR is 3.905(95% CI = 1.079—14.13), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 9.99%, which is larger than that in second, third degree and non-blnod relatives. Segregation ratio is 0.021, heritability among first degree relatives is 35.6 ± 5.8%. Frequencies of LDH at BRCA1 and BRCA2 loci in sporadic breast cancer are 6.12% and 5.77% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome abermtions were observed.Condusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.

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

    OpenAIRE

    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.

    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 can...

  4. Investigation of type 1 diabetes and coeliac disease susceptibility loci for association with juvenile idiopathic arthritis

    Science.gov (United States)

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

    2010-01-01

    Background There is strong evidence suggesting that juvenile idiopathic arthritis (JIA) shares many susceptibility loci with other autoimmune diseases. Objective To investigate variants robustly associated with type 1 diabetes (T1D) or coeliac disease (CD) for association with JIA. Methods Sixteen single-nucleotide polymorphisms (SNPs) already identified as susceptibility loci for T1D/CD were selected for genotyping in patients with JIA (n=1054) and healthy controls (n=3129). Genotype and allele frequencies were compared using the Cochrane–Armitage trend test implemented in PLINK. Results One SNP in the LPP gene, rs1464510, showed significant association with JIA (ptrend=0.002, OR=1.18, 95% CI 1.06 to 1.30). A second SNP, rs653178 in ATXN2, also showed nominal evidence for association with JIA (ptrend=0.02, OR=1.13, 95% CI 1.02 to 1.25). The SNP, rs17810546, in IL12A showed subtype-specific association with enthesitis-related arthritis (ERA) subtype (ptrend=0.005, OR=1.88, 95% CI 1.2 to 2.94). Conclusions Evidence for a novel JIA susceptibility locus, LPP, is presented. Association at the SH2B3/ATXN2 locus, previously reported to be associated with JIA in a US series, also supports this region as contributing to JIA susceptibility. In addition, a subtype-specific association of IL12A with ERA is identified. All findings will require validation in independent JIA cohorts. PMID:20647273

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

    DEFF Research Database (Denmark)

    Lu, Yi; Chen, Xiaoqing; Beesley, Jonathan;

    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...

  6. SUSCEPTIBILITY LOCI FOR UMBILICAL HERNIA IN SWINE DETECTED BY GENOME-WIDE ASSOCIATION.

    Science.gov (United States)

    Liao, X J; Lia, L; Zhang, Z Y; Long, Y; Yang, B; Ruan, G R; Su, Y; Ai, H S; Zhang, W C; Deng, W Y; Xiao, S J; Ren, J; Ding, N S; Huang, L S

    2015-10-01

    Umbilical hernia (UH) is a complex disorder caused by both genetic and environmental factors. UH brings animal welfare problems and severe economic loss to the pig industry. Until now, the genetic basis of UH is poorly understood. The high-density 60K porcine SNP array enables the rapid application of genome-wide association study (GWAS) to identify genetic loci for phenotypic traits at genome wide scale in pigs. The objective of this research was to identify susceptibility loci for swine umbilical hernia using the GWAS approach. We genotyped 478 piglets from 142 families representing three Western commercial breeds with the Illumina PorcineSNP60 BeadChip. Then significant SNPs were detected by GWAS using ROADTRIPS (Robust Association-Detection Test for Related Individuals with Population Substructure) software base on a Bonferroni corrected threshold (P = 1.67E-06) or suggestive threshold (P = 3.34E-05) and false discovery rate (FDR = 0.05). After quality control, 29,924 qualified SNPs and 472 piglets were used for GWAS. Two suggestive loci predisposing to pig UH were identified at 44.25MB on SSC2 (rs81358018, P = 3.34E-06, FDR = 0.049933) and at 45.90MB on SSC17 (rs81479278, P = 3.30E-06, FDR = 0.049933) in Duroc population, respectively. And no SNP was detected to be associated with pig UH at significant level in neither Landrace nor Large White population. Furthermore, we carried out a meta-analysis in the combined pure-breed population containing all the 472 piglets. rs81479278 (P = 1.16E-06, FDR = 0.022475) was identified to associate with pig UH at genome-wide significant level. SRC was characterized as plausible candidate gene for susceptibility to pig UH according to its genomic position and biological functions. To our knowledge, this study gives the first description of GWAS identifying susceptibility loci for umbilical hernia in pigs. Our findings provide deeper insights to the genetic architecture of umbilical hernia in pigs.

  7. Replication of british rheumatoid arthritis susceptibility Loci in two unrelated chinese population groups.

    Science.gov (United States)

    Li, Hua; Hu, Yonghe; Zhang, Tao; Liu, Yang; Wang, Yantang; Yang, Tai; Li, Minhui; Luo, Qiaoli; Cheng, Yu; Zou, Qiang

    2013-01-01

    Previous genome-wide association study by WTCCC identified many susceptibility loci of common autoimmune diseases in British, including rheumatoid arthritis (RA). Because of the genetic heterogeneity of RA, it is necessary to replicate these susceptibility loci in other populations. Here, three SNPs with strong RA association signal in the British were analyzed in Han Chinese, and two SNPs (rs6457617 and rs11761231) were genotyped in the test cohort firstly. The rs6457617 was significantly associated with RA in the test cohort. The individuals bearing the homozygous genotype CC had 0.39-fold risk than these bearing the wild-type genotype TT (P = 0.004, OR 0.39, [95% CI 0.21-0.74]). And the protective effect of allele C was confirmed in another validation cohort with 1514 samples (P genotye CC/TT = 5.9 ×  10(-10), OR 0.34, [95% CI 0.24-0.48]). The rs6457617 can be used as a tagSNP of HLA-DQA1∗03 which encoded MHC-II α chain. Since MHC restriction is important for primary T-cells in positive selection and negative selection stages, MHC protein polymorphisms may be implicated in shaping the T-cell repertoire, including the emergence of a T-cell clone involved in the inflammatory arthritis.

  8. Further evidence of subphenotype association with systemic lupus erythematosus susceptibility loci: a European cases only study.

    Directory of Open Access Journals (Sweden)

    Elisa Alonso-Perez

    Full Text Available 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, P(corr =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.

  9. Can Genetic Analysis of Putative Blood Alzheimer's Disease Biomarkers Lead to Identification of Susceptibility Loci?

    Science.gov (United States)

    Barber, Robert C; Phillips, Nicole R; Tilson, Jeffrey L; Huebinger, Ryan M; Shewale, Shantanu J; Koenig, Jessica L; Mitchel, Jeffrey S; O'Bryant, Sid E; Waring, Stephen C; Diaz-Arrastia, Ramon; Chasse, Scott; Wilhelmsen, Kirk C

    2015-01-01

    Although 24 Alzheimer's disease (AD) risk loci have been reliably identified, a large portion of the predicted heritability for AD remains unexplained. It is expected that additional loci of small effect will be identified with an increased sample size. However, the cost of a significant increase in Case-Control sample size is prohibitive. The current study tests whether exploring the genetic basis of endophenotypes, in this case based on putative blood biomarkers for AD, can accelerate the identification of susceptibility loci using modest sample sizes. Each endophenotype was used as the outcome variable in an independent GWAS. Endophenotypes were based on circulating concentrations of proteins that contributed significantly to a published blood-based predictive algorithm for AD. Endophenotypes included Monocyte Chemoattractant Protein 1 (MCP1), Vascular Cell Adhesion Molecule 1 (VCAM1), Pancreatic Polypeptide (PP), Beta2 Microglobulin (B2M), Factor VII (F7), Adiponectin (ADN) and Tenascin C (TN-C). Across the seven endophenotypes, 47 SNPs were associated with outcome with a p-value ≤1x10(-7). Each signal was further characterized with respect to known genetic loci associated with AD. Signals for several endophenotypes were observed in the vicinity of CR1, MS4A6A/MS4A4E, PICALM, CLU, and PTK2B. The strongest signal was observed in association with Factor VII levels and was located within the F7 gene. Additional signals were observed in MAP3K13, ZNF320, ATP9B and TREM1. Conditional regression analyses suggested that the SNPs contributed to variation in protein concentration independent of AD status. The identification of two putatively novel AD loci (in the Factor VII and ATP9B genes), which have not been located in previous studies despite massive sample sizes, highlights the benefits of an endophenotypic approach for resolving the genetic basis for complex diseases. The coincidence of several of the endophenotypic signals with known AD loci may point to novel

  10. Can Genetic Analysis of Putative Blood Alzheimer's Disease Biomarkers Lead to Identification of Susceptibility Loci?

    Directory of Open Access Journals (Sweden)

    Robert C Barber

    Full Text Available Although 24 Alzheimer's disease (AD risk loci have been reliably identified, a large portion of the predicted heritability for AD remains unexplained. It is expected that additional loci of small effect will be identified with an increased sample size. However, the cost of a significant increase in Case-Control sample size is prohibitive. The current study tests whether exploring the genetic basis of endophenotypes, in this case based on putative blood biomarkers for AD, can accelerate the identification of susceptibility loci using modest sample sizes. Each endophenotype was used as the outcome variable in an independent GWAS. Endophenotypes were based on circulating concentrations of proteins that contributed significantly to a published blood-based predictive algorithm for AD. Endophenotypes included Monocyte Chemoattractant Protein 1 (MCP1, Vascular Cell Adhesion Molecule 1 (VCAM1, Pancreatic Polypeptide (PP, Beta2 Microglobulin (B2M, Factor VII (F7, Adiponectin (ADN and Tenascin C (TN-C. Across the seven endophenotypes, 47 SNPs were associated with outcome with a p-value ≤1x10(-7. Each signal was further characterized with respect to known genetic loci associated with AD. Signals for several endophenotypes were observed in the vicinity of CR1, MS4A6A/MS4A4E, PICALM, CLU, and PTK2B. The strongest signal was observed in association with Factor VII levels and was located within the F7 gene. Additional signals were observed in MAP3K13, ZNF320, ATP9B and TREM1. Conditional regression analyses suggested that the SNPs contributed to variation in protein concentration independent of AD status. The identification of two putatively novel AD loci (in the Factor VII and ATP9B genes, which have not been located in previous studies despite massive sample sizes, highlights the benefits of an endophenotypic approach for resolving the genetic basis for complex diseases. The coincidence of several of the endophenotypic signals with known AD loci may point

  11. Genome-wide interaction-based association analysis identified multiple new susceptibility Loci for common diseases.

    Directory of Open Access Journals (Sweden)

    Yang Liu

    2011-03-01

    Full Text Available Genome-wide interaction-based association (GWIBA analysis has the potential to identify novel susceptibility loci. These interaction effects could be missed with the prevailing approaches in genome-wide association studies (GWAS. However, no convincing loci have been discovered exclusively from GWIBA methods, and the intensive computation involved is a major barrier for application. Here, we developed a fast, multi-thread/parallel program named "pair-wise interaction-based association mapping" (PIAM for exhaustive two-locus searches. With this program, we performed a complete GWIBA analysis on seven diseases with stringent control for false positives, and we validated the results for three of these diseases. We identified one pair-wise interaction between a previously identified locus, C1orf106, and one new locus, TEC, that was specific for Crohn's disease, with a Bonferroni corrected P < 0.05 (P = 0.039. This interaction was replicated with a pair of proxy linked loci (P = 0.013 on an independent dataset. Five other interactions had corrected P < 0.5. We identified the allelic effect of a locus close to SLC7A13 for coronary artery disease. This was replicated with a linked locus on an independent dataset (P = 1.09 × 10⁻⁷. Through a local validation analysis that evaluated association signals, rather than locus-based associations, we found that several other regions showed association/interaction signals with nominal P < 0.05. In conclusion, this study demonstrated that the GWIBA approach was successful for identifying novel loci, and the results provide new insights into the genetic architecture of common diseases. In addition, our PIAM program was capable of handling very large GWAS datasets that are likely to be produced in the future.

  12. Genetic Susceptibility to Pancreatic Cancer

    OpenAIRE

    Klein, Alison P

    2012-01-01

    Pancreatic cancer is the fourth leading cause of cancer death in both men and women in the United States. However, it has the poorest prognosis of any major tumor type, with a 5-yr survival rate of approximately 5%. Cigarette smoking, increased body mass index, heavy alcohol consumption, and a diagnosis of diabetes mellitus have all been demonstrated to increase risk of pancreatic cancer. A family history of pancreatic cancer has also been associated with increased risk suggesting inherited g...

  13. Association study of prostate cancer susceptibility variants with risks of invasive ovarian, breast, and colorectal cancer

    DEFF Research Database (Denmark)

    Song, H.; Koessler, T.; Ahmed, S.;

    2008-01-01

    Several prostate cancer susceptibility loci have recently been identified by genome-wide association studies. These loci are candidates for susceptibility to other epithelial cancers. The aim of this study was to test these tag single nucleotide polymorphisms (SNP) for association with invasive...... ovarian, colorectal, and breast cancer. Twelve prostate cancer-associated tag SNPs were genotyped in ovarian (2,087 cases/3,491 controls), colorectal (2,148 cases/2,265 controls) and breast (first set, 4,339 cases/4,552 controls; second set, 3,800 cases/3,995 controls) case-control studies. The primary...... cancer [per minor allele OR, 1.19; 95% confidence interval (95% CI), 1.04-1.37; P(trend) = 0.012]. This association was stronger for the serous histologic subtype (OR, 1.29; 95% CI, 1.09-1.53; P = 0.003). SNP rs7931342 (chromosome 11q13) showed some evidence of association with breast cancer (per minor...

  14. Breast Cancer Susceptibility Gene1 (BRCA1

    Directory of Open Access Journals (Sweden)

    Wasiksiri, S.

    2002-07-01

    Full Text Available Breast Cancer Susceptibility Gene1 (BRCA1 is a tumor suppressor gene for breast and ovarian cancers. The gene locates at chromosome 17q21 and encodes for 1863 amino acids protein. It is believed that BRCA1 protein is involved in many functions such as DNA repair, centrosome replication, cell cycle checkpoint and replication of other genes. More than 800 mutations have been found in the population with an increased risk of cancer incidence in their families. Germ-line mutation of BRCA1 accounts for 5-10 percent of all breast cancer cases. Epigenetic modifications also reduce the function of normal BRCA1 gene. Several methods are used for laboratory diagnosis of cancer-related mutations. The development of breast cancer in carriers at risk with BRCA1 mutations may be prevented by suitable prevention plans such as breast cancer screening, ovarian cancer screening, surgery and cancer chemotherapy.

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

    Science.gov (United States)

    Lipoldová, Marie; Havelková, Helena; Badalova, Jana; Vojtísková, Jarmila; Quan, Lei; Krulova, Magdaléna; Sohrabi, Yahya; Stassen, Alphons P; Demant, Peter

    2010-02-01

    Low infiltration of lymphocytes into cancers is associated with poor prognosis, but the reasons why some patients exhibit a low and others a high infiltration of tumors are unknown. Previously we mapped four loci (Lynf1–Lynf4) controlling lymphocyte infiltration of mouse lung tumors. These loci do not encode any of the molecules that are involved in traffic of lymphocytes. Here we report a genetic relationship between these loci and the control of production of IFNγ in allogeneic mixed lymphocyte cultures (MLC). We found that IFNγ production by lymphocytes of O20/A mice is lower than by lymphocytes of OcB-9/Dem mice (both H2pz) stimulated in MLC by irradiated splenocytes of C57BL/10SnPh (H2b) or BALB/ cHeA (H2d) mice, or by ConA. IFNγ production in MLCs of individual (O20 9 OcB-9)F2mice stimulated by irradiated C57BL/10 splenocytes and genotyped for microsatellite markers revealed four IFNγ-controlling loci (Cypr4-Cypr7), each of which is closely linked with one of the four Lynf loci and with a cluster of susceptibility genes for different tumors. This suggests that inherited differences in certain lymphocyte responses may modify their propensity to infiltrate tumors and their capacity to affect tumor growth.

  16. 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

    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

  17. Identification of new susceptibility loci for IgA nephropathy in Han Chinese.

    Science.gov (United States)

    Li, Ming; Foo, Jia-Nee; Wang, Jin-Quan; Low, Hui-Qi; Tang, Xue-Qing; Toh, Kai-Yee; Yin, Pei-Ran; Khor, Chiea-Chuen; Goh, Yu-Fen; Irwan, Ishak D; Xu, Ri-Cong; Andiappan, Anand K; Bei, Jin-Xin; Rotzschke, Olaf; Chen, Meng-Hua; Cheng, Ching-Yu; Sun, Liang-Dan; Jiang, Geng-Ru; Wong, Tien-Yin; Lin, Hong-Li; Aung, Tin; Liao, Yun-Hua; Saw, Seang-Mei; Ye, Kun; Ebstein, Richard P; Chen, Qin-Kai; Shi, Wei; Chew, Soo-Hong; Chen, Jian; Zhang, Fu-Ren; Li, Sheng-Ping; Xu, Gang; Tai, E Shyong; Wang, Li; Chen, Nan; Zhang, Xue-Jun; Zeng, Yi-Xin; Zhang, Hong; Liu, Zhi-Hong; Yu, Xue-Qing; Liu, Jian-Jun

    2015-06-01

    IgA nephropathy (IgAN) is one of the most common primary glomerulonephritis. Previously identified genome-wide association study (GWAS) loci explain only a fraction of disease risk. To identify novel susceptibility loci in Han Chinese, we conduct a four-stage GWAS comprising 8,313 cases and 19,680 controls. Here, we show novel associations at ST6GAL1 on 3q27.3 (rs7634389, odds ratio (OR)=1.13, P=7.27 × 10(-10)), ACCS on 11p11.2 (rs2074038, OR=1.14, P=3.93 × 10(-9)) and ODF1-KLF10 on 8q22.3 (rs2033562, OR=1.13, P=1.41 × 10(-9)), validate a recently reported association at ITGAX-ITGAM on 16p11.2 (rs7190997, OR=1.22, P=2.26 × 10(-19)), and identify three independent signals within the DEFA locus (rs2738058, P=1.15 × 10(-19); rs12716641, P=9.53 × 10(-9); rs9314614, P=4.25 × 10(-9), multivariate association). The risk variants on 3q27.3 and 11p11.2 show strong association with mRNA expression levels in blood cells while allele frequencies of the risk variants within ST6GAL1, ACCS and DEFA correlate with geographical variation in IgAN prevalence. Our findings expand our understanding on IgAN genetic susceptibility and provide novel biological insights into molecular mechanisms underlying IgAN.

  18. Major histocompatibility complex loci are associated with susceptibility of Atlantic salmon to infectious hematopoietic necrosis virus

    Science.gov (United States)

    Miller, Kristina M.; Winton, James R.; Schulze, Angela D.; Purcell, Maureen K.; Ming, Tobi J.

    2004-01-01

    Infectious hematopoietic necrosis virus (IHNV) is one of the most significant viral pathogens of salmonids and is a leading cause of death among cultured juvenile fish. Although several vaccine strategies have been developed, some of which are highly protective, the delivery systems are still too costly for general use by the aquaculture industry. More cost effective methods could come from the identification of genes associated with IHNV resistance for use in selective breeding. Further, identification of susceptibility genes may lead to an improved understanding of viral pathogenesis and may therefore aid in the development of preventive and therapeutic measures. Genes of the major histocompatibility complex (MHC), involved in the primary recognition of foreign pathogens in the acquired immune response, are associated with resistance to a variety of diseases in vertebrate organisms. We conducted a preliminary analysis of MHC disease association in which an aquaculture strain of Atlantic salmon was challenged with IHNV at three different doses and individual fish were genotyped at three MHC loci using denaturing gradient gel electrophoresis (PCR-DGGE), followed by sequencing of all differentiated alleles. Nine to fourteen alleles per exon-locus were resolved, and alleles potentially associated with resistance or susceptibility were identified. One allele (Sasa-B-04) from a potentially non-classical class I locus was highly associated with resistance to infectious hematopoietic necrosis (p < 0.01). This information can be used to design crosses of specific haplotypes for family analysis of disease associations.

  19. A genome-wide association study identifies new psoriasis susceptibility loci and an interaction between HLA-C and ERAP1.

    NARCIS (Netherlands)

    Strange, A.; Capon, F.; Spencer, C.C.; Knight, J.; Weale, M.E.; Allen, M.H.; Barton, A.; Band, G.; Bellenguez, C.; Bergboer, J.G.M.; Blackwell, J.M.; Bramon, E.; Bumpstead, S.J.; Casas, J.P.; Cork, M.J.; Corvin, A.; Deloukas, P.; Dilthey, A.; Duncanson, A.; Edkins, S.; Estivill, X.; Fitzgerald, O.; Freeman, C.; Giardina, E.; Gray, E.; Hofer, A.; Huffmeier, U.; Hunt, S.E.; Irvine, A.D.; Jankowski, J.; Kirby, B.; Langford, C.; Lascorz, J.; Leman, J.; Leslie, S.; Mallbris, L.; Markus, H.S.; Mathew, C.G.; McLean, W.H.I.; McManus, R.; Mossner, R.; Moutsianas, L.; Naluai, A.T.; Nestle, F.O.; Novelli, G.; Onoufriadis, A.; Palmer, C.N.; Perricone, C.; Pirinen, M.; Plomin, R.; Potter, S.C.; Pujol, R.M.; Rautanen, A.; Riveira-Munoz, E.; Ryan, A.W.; Salmhofer, W.; Samuelsson, L.; Sawcer, S.J.; Schalkwijk, J.; Smith, C.H.; Stahle, M.; Su, Z.; Tazi-Ahnini, R.; Traupe, H.; Viswanathan, A.C.; Warren, R.B.; Weger, W.; Wolk, K.; Wood, N.; Worthington, J.; Young, H.S.; Zeeuwen, P.L.J.M.; Hayday, A.; Burden, A.D.; Griffiths, C.E.; Kere, J.; Reis, A.; McVean, G.; Evans, D.M.; Brown, M.A.; Barker, J.N.; Peltonen, L.; Donnelly, P.; Trembath, R.C.

    2010-01-01

    To identify new susceptibility loci for psoriasis, we undertook a genome-wide association study of 594,224 SNPs in 2,622 individuals with psoriasis and 5,667 controls. We identified associations at eight previously unreported genomic loci. Seven loci harbored genes with recognized immune functions (

  20. 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

  1. Investigation of multiple susceptibility loci for inflammatory bowel disease in an Italian cohort of patients.

    Directory of Open Access Journals (Sweden)

    Anna Latiano

    Full Text Available BACKGROUND: Recent GWAs and meta-analyses have outlined about 100 susceptibility genes/loci for inflammatory bowel diseases (IBD. In this study we aimed to investigate the influence of SNPs tagging the genes/loci PTGER4, TNFSF15, NKX2-3, ZNF365, IFNG, PTPN2, PSMG1, and HLA in a large pediatric- and adult-onset IBD Italian cohort. METHODS: Eight SNPs were assessed in 1,070 Crohn's disease (CD, 1,213 ulcerative colitis (UC, 557 of whom being diagnosed at the age of ≤16 years, and 789 healthy controls. Correlations with sub-phenotypes and major variants of NOD2 gene were investigated. RESULTS: The SNPs tagging the TNFSF15, NKX2-3, ZNF365, and PTPN2 genes were associated with CD (P values ranging from 0.037 to 7×10(-6. The SNPs tagging the PTGER4, NKX2-3, ZNF365, IFNG, PSMG1, and HLA area were associated with UC (P values 0.047 to 4×10(-5. In the pediatric cohort the associations of TNFSF15, NKX2-3 with CD, and PTGER4, NKX2-3, ZNF365, IFNG, PSMG1 with UC, were confirmed. Association with TNFSF15 and pediatric UC was also reported. A correlation with NKX2-3 and need for surgery (P  =  0.038, and with HLA and steroid-responsiveness (P  =  0.024 in UC patients was observed. Moreover, significant association in our CD cohort with TNFSF15 SNP and colonic involvement (P  =  0.021, and with ZNF365 and ileal location (P  =  0.024 was demonstrated. CONCLUSIONS: We confirmed in a large Italian cohort the associations with CD and UC of newly identified genes, both in adult and pediatric cohort of patients, with some influence on sub-phenotypes.

  2. FGF receptor genes and breast cancer susceptibility

    DEFF Research Database (Denmark)

    Agarwal, D; Pineda, S; Michailidou, K;

    2014-01-01

    Background:Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying...... genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium.Methods:Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry......, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression.Results:Little evidence of association with breast cancer risk...

  3. Replication Study for the Association of 9 East Asian GWAS-Derived Loci with Susceptibility to Type 2 Diabetes in a Japanese Population

    OpenAIRE

    Kensuke Sakai; Minako Imamura; Yasushi Tanaka; Minoru Iwata; Hiroshi Hirose; Kohei Kaku; Hiroshi Maegawa; Hirotaka Watada; Kazuyuki Tobe; Atsunori Kashiwagi; Ryuzo Kawamori; Shiro Maeda

    2013-01-01

    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 pa...

  4. Polygenic susceptibility to breast cancer: current state-of-the-art

    Science.gov (United States)

    Ghoussaini, Maya; Pharoah, Paul DP

    2016-01-01

    Breast cancer is the most commonly occurring invasive cancer among women and its estimated incidence rate worldwide is approximately 1 million cases annually. Although several breast cancer susceptibility genes have been identified over the past two decades, it is likely that many genes with modest effects are yet to be found. In this review, we discuss the progress that has been recently made with the emergence of empirical genome-wide association studies for breast cancer and the identification of several common, low-penetrance disease alleles at loci that had not been previously implicated as candidates for breast cancer susceptibility. We also discuss the implications of these recent findings for risk prediction, targeted screening and public health interventions, and conclude by discussing the strengths and weaknesses of these studies, and the strategies required to identify additional risk factors for breast cancer. PMID:19519208

  5. Sex-specific effects of NLRP6/AVR and ADM loci on susceptibility to essential hypertension in a Sardinian population.

    Directory of Open Access Journals (Sweden)

    Nicola Glorioso

    Full Text Available Coronary artery disease, heart failure, fatal arrhythmias, stroke, and renal disease are the most common causes of mortality for humans, and essential hypertension remains a major risk factor. Elucidation of susceptibility loci for essential hypertension has been difficult because of its complex, multifactorial nature involving genetic, environmental, and sex- and age-dependent nature. We investigated whether the 11p15.5 region syntenic to rat chromosome 1 region containing multiple blood pressure quantitative trait loci (QTL detected in Dahl rat intercrosses harbors polymorphisms that contribute to susceptibility/resistance to essential hypertension in a Sardinian population. Initial testing performed using microsatellite markers spanning 18 Mb of 11p15.5 detected a strong association between D11S1318 (at 2.1 Mb, P = 0.004 and D11S1346 (at 10.6 Mb, P = 0.00000004, suggesting that loci in close proximity to these markers may contribute to susceptibility in our Sardinian cohort. NLR family, pyrin domain containing 6/angiotensin-vasopressin receptor (NLRP6/AVR, and adrenomedullin (ADM are in close proximity to D11S1318 and D11S1346, respectively; thus we tested single nucleotide polymorphisms (SNPs within NLRP6/AVR and ADM for their association with hypertension in our Sardinian cohort. Upon sex stratification, we detected one NLRP6/AVR SNP associated with decreased susceptibility to hypertension in males (rs7948797G, P = 0.029; OR = 0.73 [0.57-0.94]. For ADM, sex-specific analysis showed a significant association between rs4444073C, with increased susceptibility to essential hypertension only in the male population (P = 0.006; OR = 1.44 [1.13-1.84]. Our results revealed an association between NLRP6/AVR and ADM loci with male essential hypertension, suggesting the existence of sex-specific NLRP6/AVR and ADM variants affecting male susceptibility to essential hypertension.

  6. Association of Breast Cancer Susceptibility Variants with Risk of Pancreatic Cancer

    Science.gov (United States)

    Couch, Fergus J.; Wang, Xianshu; McWilliams, Robert R.; Bamlet, William R.; de Andrade, Mariza; Petersen, Gloria M.

    2011-01-01

    Background A number of susceptibility genes are common to breast and pancreatic cancer. Recently, several breast cancer susceptibility loci have been identified through genome-wide association studies. Here we evaluated possible associations between these single nucleotide polymorphisms (SNPs) and pancreatic cancer risk. Methods Ten SNPs from FGFR2, TOX3, MAP3K1, H19, LSP1, chromosome 8q24, CASP8 and LUM were investigated for associations with pancreatic cancer risk following genotyping in 1143 caucasian individuals with pancreatic adenocarcinoma and 1097 unaffected controls from a clinic-based pancreatic cancer case-control study. Results CASP8 rs1045485 (Odds ratio (OR)= 0.78; 95% confidence interval (95%CI), 0.65-0.9; p=0.005) and MAP3K1 rs889312 (OR= 0.85; 95%CI, 0.74-0.97; p=0.017)) showed evidence of association with risk of pancreatic cancer. The CASP8 rs1045485 association was evident in ever-smokers (p=0.002), but not in non-smokers (p=0.55), and the effect was strongest in heavy smokers (OR, 0.52; 95% CI, 0.29- 0.93; p=0.03). In contrast the MAP3K1 rs889312 association was only evident in non-smokers (OR, 0.78; 95%CI, 0.64-0.95; p=0.01). In addition, evaluation of the influence of the ten SNPs on survival detected significant associations between outcome for locally advanced pancreatic cancer cases and both 8q rs6983561 (p=0.045) and LUM rs2268578 (p=0.02). Conclusion Association studies in a large pancreatic case-control study indicates that SNPs associated with breast cancer may also be associated with pancreatic cancer susceptibility and survival. PMID:19843670

  7. 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 < 1.0 × 10-4). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 multiple sclerosis subjects and 26,703 healthy controls. In these 80,094 individuals of European ancestry we identified 48 new susceptibility variants (p-value < 5.0 × 10-8); three found after conditioning on previously identified variants. Thus, there are now 110 established 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

  8. Genetic susceptibility to breast and endometrial cancer

    OpenAIRE

    Wedrén, Sara

    2004-01-01

    Hormones are central in the carcinogenic process in the breast and in the uterine epithelium. Individual genetically determined variation in the response to hormonal influence may alter susceptibility to breast and endometrial cancers. Many small studies of this hypothesis have generated inconclusive results. Since the effect of any genetic variant is expected to be modest, large studies are needed to draw reliable conclusions. Also, there may be interaction between genetic ...

  9. Association of breast cancer risk loci with breast cancer survival

    NARCIS (Netherlands)

    Barrdahl, Myrto; Canzian, Federico; Lindström, Sara; Shui, Irene; Black, Amanda; Hoover, Robert N.; Ziegler, Regina G.; Buring, Julie E.; Chanock, Stephen J.; Diver, W. Ryan; Gapstur, Susan M.; Gaudet, Mia M.; Giles, Graham G.; Haiman, Christopher; Henderson, Brian E.; Hankinson, Susan; Hunter, David J.; Joshi, Amit D.; Kraft, Peter; Lee, I. Min; Le Marchand, Loic; Milne, Roger L.; Southey, Melissa C.; Willett, Walter; Gunter, Marc; Panico, Salvatore; Sund, Malin; Weiderpass, Elisabete; Sánchez, María José; Overvad, Kim; Dossus, Laure; Peeters, Petra H.; Khaw, Kay Tee; Trichopoulos, Dimitrios; Kaaks, Rudolf; Campa, Daniele

    2015-01-01

    The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of eviden

  10. Association of Common Susceptibility Variants of Pancreatic Cancer in Higher-Risk Patients: A PACGENE Study.

    Science.gov (United States)

    Childs, Erica J; Chaffee, Kari G; Gallinger, Steven; Syngal, Sapna; Schwartz, Ann G; Cote, Michele L; Bondy, Melissa L; Hruban, Ralph H; Chanock, Stephen J; Hoover, Robert N; Fuchs, Charles S; Rider, David N; Amundadottir, Laufey T; Stolzenberg-Solomon, Rachael; Wolpin, Brian M; Risch, Harvey A; Goggins, Michael G; Petersen, Gloria M; Klein, Alison P

    2016-07-01

    Individuals from pancreatic cancer families are at increased risk, not only of pancreatic cancer, but also of melanoma, breast, ovarian, and colon cancers. While some of the increased risk may be due to mutations in high-penetrance genes (i.e., BRCA2, PALB2, ATM, p16/CDKN2A or DNA mismatch repair genes), common genetic variants may also be involved. In a high-risk population of cases with either a family history of pancreatic cancer or early-onset pancreatic cancer (diagnosis before the age of 50 years), we examined the role of genetic variants previously associated with risk of pancreatic, breast, ovarian, or prostate cancer. We genotyped 985 cases (79 early-onset cases, 906 cases with a family history of pancreatic cancer) and 877 controls for 215,389 SNPs using the iSelect Collaborative Oncological Gene-Environment Study (iCOGS) array with custom content. Logistic regression was performed using a log-linear additive model. We replicated several previously reported pancreatic cancer susceptibility loci, including recently identified variants on 2p13.3 and 7p13 (2p13.3, rs1486134: OR = 1.36; 95% CI, 1.13-1.63; P = 9.29 × 10(-4); 7p13, rs17688601: OR = 0.76; 95% CI, 0.63-0.93; P = 6.59 × 10(-3)). For the replicated loci, the magnitude of association observed in these high-risk patients was similar to that observed in studies of unselected patients. In addition to the established pancreatic cancer loci, we also found suggestive evidence of association (P pancreatic cancer for SNPs at HDAC9 (7p21.1) and COL6A2 (21q22.3). Even in high-risk populations, common variants influence pancreatic cancer susceptibility. Cancer Epidemiol Biomarkers Prev; 25(7); 1185-91. ©2016 AACR. PMID:27197284

  11. Common polygenic variation in coeliac disease and confirmation of ZNF335 and NIFA as disease susceptibility loci.

    Science.gov (United States)

    Coleman, Ciara; Quinn, Emma M; Ryan, Anthony W; Conroy, Judith; Trimble, Valerie; Mahmud, Nasir; Kennedy, Nicholas; Corvin, Aiden P; Morris, Derek W; Donohoe, Gary; O'Morain, Colm; MacMathuna, Padraic; Byrnes, Valerie; Kiat, Clifford; Trynka, Gosia; Wijmenga, Cisca; Kelleher, Dermot; Ennis, Sean; Anney, Richard J L; McManus, Ross

    2016-02-01

    Coeliac disease (CD) is a chronic immune-mediated disease triggered by the ingestion of gluten. It has an estimated prevalence of approximately 1% in European populations. Specific HLA-DQA1 and HLA-DQB1 alleles are established coeliac susceptibility genes and are required for the presentation of gliadin to the immune system resulting in damage to the intestinal mucosa. In the largest association analysis of CD to date, 39 non-HLA risk loci were identified, 13 of which were new, in a sample of 12,014 individuals with CD and 12 228 controls using the Immunochip genotyping platform. Including the HLA, this brings the total number of known CD loci to 40. We have replicated this study in an independent Irish CD case-control population of 425 CD and 453 controls using the Immunochip platform. Using a binomial sign test, we show that the direction of the effects of previously described risk alleles were highly correlated with those reported in the Irish population, (P=2.2 × 10(-16)). Using the Polygene Risk Score (PRS) approach, we estimated that up to 35% of the genetic variance could be explained by loci present on the Immunochip (P=9 × 10(-75)). When this is limited to non-HLA loci, we explain a maximum of 4.5% of the genetic variance (P=3.6 × 10(-18)). Finally, we performed a meta-analysis of our data with the previous reports, identifying two further loci harbouring the ZNF335 and NIFA genes which now exceed genome-wide significance, taking the total number of CD susceptibility loci to 42. PMID:25920553

  12. Breast cancer susceptibility variants alter risk in familial ovarian cancer.

    Science.gov (United States)

    Latif, A; McBurney, H J; Roberts, S A; Lalloo, F; Howell, A; Evans, D G; Newman, W G

    2010-12-01

    Recent candidate gene and genome wide association studies have revealed novel loci associated with an increased risk of breast cancer. We evaluated the effect of these breast cancer associated variants on ovarian cancer risk in individuals with familial ovarian cancer both with and without BRCA1 or BRCA2 mutations. A total of 158 unrelated white British women (54 BRCA1/2 mutation positive and 104 BRCA1/2 mutation negative) with familial ovarian cancer were genotyped for FGFR2, TNRC9/TOX3 and CASP8 variants. The p.Asp302His CASP8 variant was associated with reduced ovarian cancer risk in the familial BRCA1/2 mutation negative ovarian cancer cases (P = 0.016). The synonymous TNRC9/TOX3 (Ser51) variant was present at a significantly lower frequency than in patients with familial BRCA1/2 positive breast cancer (P = 0.0002). Our results indicate that variants in CASP8 and TNRC9/TOX3 alter the risk of disease in individuals affected with familial ovarian cancer.

  13. Investigating the viability of genetic screening/testing for RA susceptibility using combinations of five confirmed risk loci

    Science.gov (United States)

    McClure, Annie; Lunt, Mark; Eyre, Steve; Ke, Xiayi; Thomson, Wendy; Hinks, Anne; Bowes, John; Gibbons, Laura; Plant, Darren; Wilson, Anthony G.; Marinou, Ioanna; Morgan, Ann W.; Emery, Paul; Steer, Sophia; Hocking, Lynne J.; Reid, David M.; Wordsworth, Paul; Harrison, Pille; Worthington, Jane

    2009-01-01

    Objective. Five loci—the shared epitope (SE) of HLA-DRB1, the PTPN22 gene, a locus on 6q23, the STAT4 gene and a locus mapping to the TRAF1/C5 genetic region—have now been unequivocally confirmed as conferring susceptibility to RA. The largest single effect is conferred by SE. We hypothesized that combinations of susceptibility alleles may increase risk over and above that of any individual locus alone. Methods. We analysed data from 4238 RA cases and 1811 controls, for which genotypes were available at all five loci. Results. Statistical analysis identified eight high-risk combinations conferring an odds ratio >6 compared with carriage of no susceptibility variants and, interestingly, 10% population controls carried a combination conferring high risk. All high-risk combinations included SE, and all but one contained PTPN22. Statistical modelling showed that a model containing only these two loci could achieve comparable sensitivity and specificity to a model including all five. Furthermore, replacing SE (which requires full subtyping at the HLA-DRB1 gene) with DRB1*1/4/10 carriage resulted in little further loss of information (correlation coefficient between models = 0.93). Conclusions. This represents the first exploration of the viability of population screening for RA and identifies several high-risk genetic combinations. However, given the population incidence of RA, genetic screening based on these loci alone is neither sufficiently sensitive nor specific at the current time. PMID:19741008

  14. 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.

  15. 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...

  16. 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 si

  17. 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 A.); 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.); 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 (Cock); 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. 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

  18. Restriction fragment length polymorphism mapping of quantitative trait loci for malaria parasite susceptibility in the mosquito Aedes aegypti

    Energy Technology Data Exchange (ETDEWEB)

    Severson, D.W.; Thathy, V.; Mori, A. [Univ. of Wisconsin, Madison, WI (United States)] [and others

    1995-04-01

    Susceptibility of the mosquito Aedes aegypti to the malarial parasite Plasmodium gallinaceum was investigated as a quantitative trait using restriction fragment length polymorphisms (RFLP). Two F{sub 2} populations of mosquitoes were independently prepared from pairwise matings between a highly susceptible and a refractory strain of A. aegypti. RFLP were tested for association with oocyst development on the mosquito midgut. Two putative quantitative trait loci (QTL) were identified that significantly affect susceptibility. One QTL, pgs [2,LF98], is located on chromosome 2 and accounted for 65 and 49% of the observed phenotypic variance in the two populations, respectively. A second QTL, pgs[3,MalI], is located on chromosome 3 and accounted for 14 and 10% of the observed phenotypic variance in the two populations, respectively. Both QTL exhibit a partial dominance effect on susceptibility, wherein the dominance effect is derived from the refractory parent. No indication of epistasis between these QTL was detected. Evidence suggests that either a tightly linked cluster of independent genes or a single locus affecting susceptibility to various mosquito-borne parasites and pathogens has evolved near the LF98 locus; in addition to P. gallinaceum susceptibility, this general genome region has previously been implicated in susceptibility to the filaria nematode Brugia malayi and the yellow fever virus. 35 refs., 2 figs., 3 tabs.

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

    NARCIS (Netherlands)

    M. Janse; L.E. Lamberts; L. Franke; S. Raychaudhuri; E. Ellinghaus; K.M. Boberg; E. Melum; T. Folseraas; E. Schrumpf; A. Bergquist; E. Bjornsson; J. Fu; H.J. Westra; H.J.M. Groen; R.S.N. Fehrmann; J. Smolonska; L.H. Berg; R.A. Ophoff; R.J. Porte; T.J. Weismueller; J. Wedemeyer; C. Schramm; M. Sterneck; R. Guenther; F. Braun; S. Vermeire; L. Henckaerts; C. Wijmenga; C.Y. Ponsioen; S. Schreiber; T.H. Karlsen; A. Franke; R.K. Weersma

    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 ide

  20. 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

  1. Association of New Loci Identified in European Genome-Wide Association Studies with Susceptibility to Type 2 Diabetes in the Japanese

    OpenAIRE

    Toshihiko Ohshige; Minoru Iwata; Shintaro Omori; Yasushi Tanaka; Hiroshi Hirose; Kohei Kaku; Hiroshi Maegawa; Hirotaka Watada; Atsunori Kashiwagi; Ryuzo Kawamori; Kazuyuki Tobe; Takashi Kadowaki; Yusuke Nakamura; Shiro Maeda

    2011-01-01

    BACKGROUND: Several novel susceptibility loci for type 2 diabetes have been identified through genome-wide association studies (GWAS) for type 2 diabetes or quantitative traits related to glucose metabolism in European populations. To investigate the association of the 13 new European GWAS-derived susceptibility loci with type 2 diabetes in the Japanese population, we conducted a replication study using 3 independent Japanese case-control studies. METHODOLOGY/PRINCIPAL FINDINGS: We examined t...

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

    OpenAIRE

    Janse, Marcel; Lamberts, Laetitia E.; Franke, Lude; Raychaudhuri, Soumya; Ellinghaus, Eva; MuriBoberg, Kirsten; Melum, Espen; Folseraas, Trine; Schrumpf, Erik; Bergquist, Annika; Bjornsson, Einar; Fu, Jingyuan; Westra, Harm Jan; Groen, Harry JM; Fehrmann, Rudolf SN

    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 identified for ulcerative colitis (UC) in a large cohort of 1186PSC patients and 1748 controls. Single nucleotide polymorphisms (SNPs) tagging 13 UC susceptibility loci were initially genotyped in 854...

  3. Association of variations in HLA class II and other loci with susceptibility to EGFR-mutated lung adenocarcinoma.

    Science.gov (United States)

    Shiraishi, Kouya; Okada, Yukinori; Takahashi, Atsushi; Kamatani, Yoichiro; Momozawa, Yukihide; Ashikawa, Kyota; Kunitoh, Hideo; Matsumoto, Shingo; Takano, Atsushi; Shimizu, Kimihiro; Goto, Akiteru; Tsuta, Koji; Watanabe, Shun-Ichi; Ohe, Yuichiro; Watanabe, Yukio; Goto, Yasushi; Nokihara, Hiroshi; Furuta, Koh; Yoshida, Akihiko; Goto, Koichi; Hishida, Tomoyuki; Tsuboi, Masahiro; Tsuchihara, Katsuya; Miyagi, Yohei; Nakayama, Haruhiko; Yokose, Tomoyuki; Tanaka, Kazumi; Nagashima, Toshiteru; Ohtaki, Yoichi; Maeda, Daichi; Imai, Kazuhiro; Minamiya, Yoshihiro; Sakamoto, Hiromi; Saito, Akira; Shimada, Yoko; Sunami, Kuniko; Saito, Motonobu; Inazawa, Johji; Nakamura, Yusuke; Yoshida, Teruhiko; Yokota, Jun; Matsuda, Fumihiko; Matsuo, Keitaro; Daigo, Yataro; Kubo, Michiaki; Kohno, Takashi

    2016-01-01

    Lung adenocarcinoma driven by somatic EGFR mutations is more prevalent in East Asians (30-50%) than in European/Americans (10-20%). Here we investigate genetic factors underlying the risk of this disease by conducting a genome-wide association study, followed by two validation studies, in 3,173 Japanese patients with EGFR mutation-positive lung adenocarcinoma and 15,158 controls. Four loci, 5p15.33 (TERT), 6p21.3 (BTNL2), 3q28 (TP63) and 17q24.2 (BPTF), previously shown to be strongly associated with overall lung adenocarcinoma risk in East Asians, were re-discovered as loci associated with a higher susceptibility to EGFR mutation-positive lung adenocarcinoma. In addition, two additional loci, HLA class II at 6p21.32 (rs2179920; P =5.1 × 10(-17), per-allele OR=1.36) and 6p21.1 (FOXP4) (rs2495239; P=3.9 × 10(-9), per-allele OR=1.19) were newly identified as loci associated with EGFR mutation-positive lung adenocarcinoma. This study indicates that multiple genetic factors underlie the risk of lung adenocarcinomas with EGFR mutations. PMID:27501781

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

    DEFF Research Database (Denmark)

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

    2016-01-01

    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...... aimed to investigate whether verified genome wide significant variants of autoimmune disorders confer risk of schizophrenia, which could suggest a common genetic basis. METHODS: Seven hundred and fourteen genome wide significant risk variants of 25 autoimmune disorders were extracted from the NHGRI GWAS...... catalogue and examined for association to schizophrenia in the Psychiatric Genomics Consortium schizophrenia GWAS samples (36,989 cases and 113,075 controls). RESULTS: Two independent loci at 4q24 and 6p21.32-33 originally identified from GWAS of autoimmune diseases were found genome wide associated...

  5. Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification

    DEFF Research Database (Denmark)

    Sambo, Francesco; Malovini, Alberto; Sandholm, Niina;

    2014-01-01

    .05), and rs12137135 upstream of WNT4 was associated with ESRD in Steno. CONCLUSIONS/INTERPRETATION: This study supports the previously identified findings on the RGMA/MCTP2 region and suggests novel susceptibility loci for ESRD. This highlights the importance of applying complementary statistical methods...... in diabetic patients. Our aim was to detect novel genetic variants associated with diabetic nephropathy and ESRD. METHODS: We exploited a novel algorithm, 'Bag of Naive Bayes', whose marker selection strategy is complementary to that of conventional genome-wide association models based on univariate...... of Kidneys in Diabetes UK collection (UK-Republic of Ireland) and the Genetics of Kidneys in Diabetes US Study (GoKinD US). RESULTS: Five genetic loci (WNT4/ZBTB40-rs12137135, RGMA/MCTP2-rs17709344, MAPRE1P2-rs1670754, SEMA6D/SLC24A5-rs12917114 and SIK1-rs2838302) were associated with ESRD in the Finn...

  6. 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...... seems to be protective for celiac disease. Within the MPHOSPH9/CDK2AP1 locus, the risk allele correlates with diminished RNA expression of the cell cycle regulator CDK2AP1; this effect is seen in both lymphoblastic cell lines (P=1.18 x 10(-5)) and in peripheral blood mononuclear cells from subjects...... with MS (P=0.01). Thus, we report three new MS susceptibility loci, including a novel inflammatory disease locus that could affect autoreactive cell proliferation....

  7. Large-scale association analyses identifies 13 new susceptibility loci for coronary artery disease

    Science.gov (United States)

    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, Cardiogenics, John F.; Chen, Li; Cichon, Sven; Codd, Veryan; Davies, Robert W.; Dedoussis, George; Dehghan, Abbas; Demissie, Serkalem; Devaney, Joseph M.; Do, Ron; Doering, Angela; Eifert, Sandra; El Mokhtari, Nour Eddine; Ellis, Stephen G.; Elosua, Roberto; Engert, James C.; Epstein, Stephen E.; Faire, Ulf de; 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; Linsel-Nitschke, Patrick; 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 cases and 64,762 controls of European descent, followed by genotyping of top association signals in 60,738 additional individuals. This genomic analysis identified 13 novel loci harboring one or more SNPs that were associated with CAD at P<5×10−8 and confirmed the association of 10 of 12 previously reported CAD loci. The 13 novel loci displayed risk allele frequencies ranging from 0.13 to 0.91 and were associated with a 6 to 17 percent increase in the risk of CAD per allele. Notably, only three of the novel loci displayed significant association with traditional CAD risk factors, while the majority lie in gene regions not previously implicated in the pathogenesis of CAD. Finally, five of the novel CAD risk loci appear to have pleiotropic effects, showing strong association with various other human diseases or traits. PMID:21378990

  8. Identification of novel RA susceptibility loci at chromosomes 10p15, 12q13 and 22q13

    Science.gov (United States)

    Barton, Anne; Thomson, Wendy; Ke, Xiayi; Eyre, Steve; Hinks, Anne; Bowes, John; Plant, Darren; Gibbons, Laura J; Wilson, Anthony G; Bax, Deborah E; Morgan, Ann W; Emery, Paul; Steer, Sophia; Hocking, Lynne; Reid, David M; Wordsworth, Paul; Harrison, Pille; Worthington, Jane

    2009-01-01

    The WTCCC study identified 49 single nucleotide polymorphisms (SNPs) putatively associated with RA at p=1×10-4-1×10-5 (Tier 3). Here, we show that 3 of these SNPs, mapping to chromosome 10p15 (rs4750316), 12q13 (rs1678542) and 22q13 (rs3218253), are also associated (trend p = 4×10-5, p=4×10-4 and p=4×10-4, respectively) in a validation study of 4,106 RA cases and an expanded reference group of 11,238 subjects, confirming them as true susceptibility loci in Caucasians. PMID:18794857

  9. 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

    -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...... nonparametric (model-free) methods. After removal of high linkage disequilibrium single-nucleotide polymorphism, we obtained a maximum nonparametric linkage score (NPL) of 3.39 (P = 0.0005) at 17q12-21.32 and the Z-score of 4.20 (P = 0.000007). To replicate our findings, we genotyped 29 independent U...

  10. Association analysis of the extended MHC region in celiac disease implicates multiple independent susceptibility loci.

    Directory of Open Access Journals (Sweden)

    Richard Ahn

    Full Text Available Celiac disease is a common autoimmune disease caused by sensitivity to the dietary protein gluten. Forty loci have been implicated in the disease. All disease loci have been characterized as low-penetrance, with the exception of the high-risk genotypes in the HLA-DQA1 and HLA-DQB1 genes, which are necessary but not sufficient to cause the disease. The very strong effects from the known HLA loci and the genetically complex nature of the major histocompatibility complex (MHC have precluded a thorough investigation of the region. The purpose of this study was to test the hypothesis that additional celiac disease loci exist within the extended MHC (xMHC. A set of 1898 SNPs was analyzed for association across the 7.6 Mb xMHC region in 1668 confirmed celiac disease cases and 517 unaffected controls. Conditional recursive partitioning was used to create an informative indicator of the known HLA-DQA1 and HLA-DQB1 high-risk genotypes that was included in the association analysis to account for their effects. A linkage disequilibrium-based grouping procedure was utilized to estimate the number of independent celiac disease loci present in the xMHC after accounting for the known effects. There was significant statistical evidence for four new independent celiac disease loci within the classic MHC region. This study is the first comprehensive association analysis of the xMHC in celiac disease that specifically accounts for the known HLA disease genotypes and the genetic complexity of the region.

  11. Genome-wide association study identifies five new susceptibility loci for primary angle closure glaucoma

    OpenAIRE

    Khor, CC; Do, T.; Jia, H; Nakano, M; George, R.; Abu-Amero, K; Duvesh, R; Chen, LJ; Z. Li; Nongpiur, ME; Perera, SA; Qiao, C.; Wong, H-T; Sakai, H.; de Melo, MB

    2016-01-01

    Primary angle closure glaucoma (PACG) is a major cause of blindness worldwide. We conducted a genome-wide association study (GWAS) followed by replication in a combined total of 10,503 PACG cases and 29,567 controls drawn from 24 countries across Asia, Australia, Europe, North America, and South America. We observed significant evidence of disease association at five new genetic loci upon meta-analysis of all patient collections. These loci are at EPDR1 rs3816415 (odds ratio (OR) = 1.24, P = ...

  12. 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

  13. 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

    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...

  14. 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. Timpson (Nicholas); S.F. Grant; V.W.V. Jaddoe (Vincent W. V.); 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 sc

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

    NARCIS (Netherlands)

    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

    2015-01-01

    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 in

  16. 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

    in this issue of PLoS Genetics; doi:10.1371/journal.pgen.1000429. The CHRNA 3/5 and the HHIP loci make a significant contribution to the risk of COPD. CHRNA3/5 is the same locus that has been implicated in the risk of lung cancer.

  17. 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.

  18. 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.

  19. Can Genetic Analysis of Putative Blood Alzheimer’s Disease Biomarkers Lead to Identification of Susceptibility Loci?

    Science.gov (United States)

    Huebinger, Ryan M.; Shewale, Shantanu J.; Koenig, Jessica L.; Mitchel, Jeffrey S.; O’Bryant, Sid E.; Waring, Stephen C.; Diaz-Arrastia, Ramon; Chasse, Scott

    2015-01-01

    Although 24 Alzheimer’s disease (AD) risk loci have been reliably identified, a large portion of the predicted heritability for AD remains unexplained. It is expected that additional loci of small effect will be identified with an increased sample size. However, the cost of a significant increase in Case-Control sample size is prohibitive. The current study tests whether exploring the genetic basis of endophenotypes, in this case based on putative blood biomarkers for AD, can accelerate the identification of susceptibility loci using modest sample sizes. Each endophenotype was used as the outcome variable in an independent GWAS. Endophenotypes were based on circulating concentrations of proteins that contributed significantly to a published blood-based predictive algorithm for AD. Endophenotypes included Monocyte Chemoattractant Protein 1 (MCP1), Vascular Cell Adhesion Molecule 1 (VCAM1), Pancreatic Polypeptide (PP), Beta2 Microglobulin (B2M), Factor VII (F7), Adiponectin (ADN) and Tenascin C (TN-C). Across the seven endophenotypes, 47 SNPs were associated with outcome with a p-value ≤1x10-7. Each signal was further characterized with respect to known genetic loci associated with AD. Signals for several endophenotypes were observed in the vicinity of CR1, MS4A6A/MS4A4E, PICALM, CLU, and PTK2B. The strongest signal was observed in association with Factor VII levels and was located within the F7 gene. Additional signals were observed in MAP3K13, ZNF320, ATP9B and TREM1. Conditional regression analyses suggested that the SNPs contributed to variation in protein concentration independent of AD status. The identification of two putatively novel AD loci (in the Factor VII and ATP9B genes), which have not been located in previous studies despite massive sample sizes, highlights the benefits of an endophenotypic approach for resolving the genetic basis for complex diseases. The coincidence of several of the endophenotypic signals with known AD loci may point to novel

  20. [Identifying different susceptibility loci associated with early onset diabetes and cardiovascular disease in Mexican families].

    Science.gov (United States)

    Canizales-Quinteros, Samuel; Huertas-Vázquez, Adriana; Riba-Ramírez, Laura; Monroy-Guzmán, Adriana; Domínguez-López, Aarón; Romero-Hidalgo, Sandra; Aguilar-Salinas, Carlos; Rodríguez-Torres, Maribel; Ramírez-Jiménez, Salvador; Tusié-Luna, María Teresa

    2005-01-01

    Coronary artery disease and diabetes mellitus are among the primary mortality and morbidity causes in Mexico. Genetic factors play a fundamental role in the development of these entities. In the past few years due to the recognition and study of families with monogenic forms of diabetes and dislipidemias associated with development of atherosclerosis, several genes and loci have been associated with these conditions through genetic linkage studies. These studies have provided evidence of the genetic heterogeneity that exists and the type of genes involved in different ethnic groups. The study of Mexican families with early-onset diabetes and combined familial hyperlipidemia showed the participation of different genetic loci associated with these conditions in the Mexican population. These findings show the value of gene mapping strategies in the identification of the genetic component in these entities in our population.

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

    Science.gov (United States)

    Mitchell, Jonathan S.; Li, Ni; Weinhold, Niels; Försti, Asta; Ali, Mina; van Duin, Mark; Thorleifsson, Gudmar; Johnson, David C.; Chen, Bowang; Halvarsson, Britt-Marie; Gudbjartsson, Daniel F.; Kuiper, Rowan; Stephens, Owen W.; Bertsch, Uta; Broderick, Peter; Campo, Chiara; Einsele, Hermann; Gregory, Walter A.; Gullberg, Urban; Henrion, Marc; Hillengass, Jens; Hoffmann, Per; Jackson, Graham H.; Johnsson, Ellinor; Jöud, Magnus; Kristinsson, Sigurður Y.; Lenhoff, Stig; Lenive, Oleg; Mellqvist, Ulf-Henrik; Migliorini, Gabriele; Nahi, Hareth; Nelander, Sven; Nickel, Jolanta; Nöthen, Markus M.; Rafnar, Thorunn; Ross, Fiona M.; da Silva Filho, Miguel Inacio; Swaminathan, Bhairavi; Thomsen, Hauke; Turesson, Ingemar; Vangsted, Annette; Vogel, Ulla; Waage, Anders; Walker, Brian A.; Wihlborg, Anna-Karin; Broyl, Annemiek; Davies, Faith E.; Thorsteinsdottir, Unnur; Langer, Christian; Hansson, Markus; Kaiser, Martin; Sonneveld, Pieter; Stefansson, Kari; Morgan, Gareth J.; Goldschmidt, Hartmut; Hemminki, Kari; Nilsson, Björn; Houlston, Richard S.

    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 new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10−8), 6q21 (rs9372120, P=9.09 × 10−15), 7q36.1 (rs7781265, P=9.71 × 10−9), 8q24.21 (rs1948915, P=4.20 × 10−11), 9p21.3 (rs2811710, P=1.72 × 10−13), 10p12.1 (rs2790457, P=1.77 × 10−8), 16q23.1 (rs7193541, P=5.00 × 10−12) and 20q13.13 (rs6066835, P=1.36 × 10−13), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development. PMID:27363682

  2. Genome-wide association study identifies five new susceptibility loci for primary angle closure glaucoma.

    Science.gov (United States)

    Khor, Chiea Chuen; Do, Tan; Jia, Hongyan; Nakano, Masakazu; George, Ronnie; Abu-Amero, Khaled; Duvesh, Roopam; Chen, Li Jia; Li, Zheng; Nongpiur, Monisha E; Perera, Shamira A; Qiao, Chunyan; Wong, Hon-Tym; Sakai, Hiroshi; Barbosa de Melo, Mônica; Lee, Mei-Chin; Chan, Anita S; Azhany, Yaakub; Dao, Thi Lam Huong; Ikeda, Yoko; Perez-Grossmann, Rodolfo A; Zarnowski, Tomasz; Day, Alexander C; Jonas, Jost B; Tam, Pancy O S; Tran, Tuan Anh; Ayub, Humaira; Akhtar, Farah; Micheal, Shazia; Chew, Paul T K; Aljasim, Leyla A; Dada, Tanuj; Luu, Tam Thi; Awadalla, Mona S; Kitnarong, Naris; Wanichwecharungruang, Boonsong; Aung, Yee Yee; Mohamed-Noor, Jelinar; Vijayan, Saravanan; Sarangapani, Sripriya; Husain, Rahat; Jap, Aliza; Baskaran, Mani; Goh, David; Su, Daniel H; Wang, Huaizhou; Yong, Vernon K; Yip, Leonard W; Trinh, Tuyet Bach; Makornwattana, Manchima; Nguyen, Thanh Thu; Leuenberger, Edgar U; Park, Ki-Ho; Wiyogo, Widya Artini; Kumar, Rajesh S; Tello, Celso; Kurimoto, Yasuo; Thapa, Suman S; Pathanapitoon, Kessara; Salmon, John F; Sohn, Yong Ho; Fea, Antonio; Ozaki, Mineo; Lai, Jimmy S M; Tantisevi, Visanee; Khaing, Chaw Chaw; Mizoguchi, Takanori; Nakano, Satoko; Kim, Chan-Yun; Tang, Guangxian; Fan, Sujie; Wu, Renyi; Meng, Hailin; Nguyen, Thi Thuy Giang; Tran, Tien Dat; Ueno, Morio; Martinez, Jose Maria; Ramli, Norlina; Aung, Yin Mon; Reyes, Rigo Daniel; Vernon, Stephen A; Fang, Seng Kheong; Xie, Zhicheng; Chen, Xiao Yin; Foo, Jia Nee; Sim, Kar Seng; Wong, Tina T; Quek, Desmond T; Venkatesh, Rengaraj; Kavitha, Srinivasan; Krishnadas, Subbiah R; Soumittra, Nagaswamy; Shantha, Balekudaru; Lim, Boon-Ang; Ogle, Jeanne; de Vasconcellos, José P C; Costa, Vital P; Abe, Ricardo Y; de Souza, Bruno B; Sng, Chelvin C; Aquino, Maria C; Kosior-Jarecka, Ewa; Fong, Guillermo Barreto; Tamanaja, Vania Castro; Fujita, Ricardo; Jiang, Yuzhen; Waseem, Naushin; Low, Sancy; Pham, Huan Nguyen; Al-Shahwan, Sami; Craven, E Randy; Khan, Muhammad Imran; Dada, Rrima; Mohanty, Kuldeep; Faiq, Muneeb A; Hewitt, Alex W; Burdon, Kathryn P; Gan, Eng Hui; Prutthipongsit, Anuwat; Patthanathamrongkasem, Thipnapa; Catacutan, Mary Ann T; Felarca, Irene R; Liao, Chona S; Rusmayani, Emma; Istiantoro, Vira Wardhana; Consolandi, Giulia; Pignata, Giulia; Lavia, Carlo; Rojanapongpun, Prin; Mangkornkanokpong, Lerprat; Chansangpetch, Sunee; Chan, Jonathan C H; Choy, Bonnie N K; Shum, Jennifer W H; Than, Hlaing May; Oo, Khin Thida; Han, Aye Thi; Yong, Victor H; Ng, Xiao-Yu; Goh, Shuang Ru; Chong, Yaan Fun; Hibberd, Martin L; Seielstad, Mark; Png, Eileen; Dunstan, Sarah J; Chau, Nguyen Van Vinh; Bei, Jinxin; Zeng, Yi Xin; Karkey, Abhilasha; Basnyat, Buddha; Pasutto, Francesca; Paoli, Daniela; Frezzotti, Paolo; Wang, Jie Jin; Mitchell, Paul; Fingert, John H; Allingham, R Rand; Hauser, Michael A; Lim, Soon Thye; Chew, Soo Hong; Ebstein, Richard P; Sakuntabhai, Anavaj; Park, Kyu Hyung; Ahn, Jeeyun; Boland, Greet; Snippe, Harm; Stead, Richard; Quino, Raquel; Zaw, Su Nyunt; Lukasik, Urszula; Shetty, Rohit; Zahari, Mimiwati; Bae, Hyoung Won; Oo, Nay Lin; Kubota, Toshiaki; Manassakorn, Anita; Ho, Wing Lau; Dallorto, Laura; Hwang, Young Hoon; Kiire, Christine A; Kuroda, Masako; Djamal, Zeiras Eka; Peregrino, Jovell Ian M; Ghosh, Arkasubhra; Jeoung, Jin Wook; Hoan, Tung S; Srisamran, Nuttamon; Sandragasu, Thayanithi; Set, Saw Htoo; Doan, Vi Huyen; Bhattacharya, Shomi S; Ho, Ching-Lin; Tan, Donald T; Sihota, Ramanjit; Loon, Seng-Chee; Mori, Kazuhiko; Kinoshita, Shigeru; Hollander, Anneke I den; Qamar, Raheel; Wang, Ya-Xing; Teo, Yik Y; Tai, E-Shyong; Hartleben-Matkin, Curt; Lozano-Giral, David; Saw, Seang Mei; Cheng, Ching-Yu; Zenteno, Juan C; Pang, Chi Pui; Bui, Huong T T; Hee, Owen; Craig, Jamie E; Edward, Deepak P; Yonahara, Michiko; Neto, Jamil Miguel; Guevara-Fujita, Maria L; Xu, Liang; Ritch, Robert; Liza-Sharmini, Ahmad Tajudin; Wong, Tien Y; Al-Obeidan, Saleh; Do, Nhu Hon; Sundaresan, Periasamy; Tham, Clement C; Foster, Paul J; Vijaya, Lingam; Tashiro, Kei; Vithana, Eranga N; Wang, Ningli; Aung, Tin

    2016-05-01

    Primary angle closure glaucoma (PACG) is a major cause of blindness worldwide. We conducted a genome-wide association study (GWAS) followed by replication in a combined total of 10,503 PACG cases and 29,567 controls drawn from 24 countries across Asia, Australia, Europe, North America, and South America. We observed significant evidence of disease association at five new genetic loci upon meta-analysis of all patient collections. These loci are at EPDR1 rs3816415 (odds ratio (OR) = 1.24, P = 5.94 × 10(-15)), CHAT rs1258267 (OR = 1.22, P = 2.85 × 10(-16)), GLIS3 rs736893 (OR = 1.18, P = 1.43 × 10(-14)), FERMT2 rs7494379 (OR = 1.14, P = 3.43 × 10(-11)), and DPM2-FAM102A rs3739821 (OR = 1.15, P = 8.32 × 10(-12)). We also confirmed significant association at three previously described loci (P < 5 × 10(-8) for each sentinel SNP at PLEKHA7, COL11A1, and PCMTD1-ST18), providing new insights into the biology of PACG. PMID:27064256

  3. 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

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

    Science.gov (United States)

    Gaulton, Kyle J; Ferreira, Teresa; Lee, Yeji; Raimondo, Anne; Mägi, Reedik; Reschen, Michael E; 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, 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

    2015-12-01

    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 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

  5. Linkage of DNA Methylation Quantitative Trait Loci to Human Cancer Risk

    Directory of Open Access Journals (Sweden)

    Holger Heyn

    2014-04-01

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

  6. Genome-wide association study identifies eight new susceptibility loci for atopic dermatitis in the Japanese population.

    Science.gov (United States)

    Hirota, Tomomitsu; Takahashi, Atsushi; Kubo, Michiaki; Tsunoda, Tatsuhiko; Tomita, Kaori; Sakashita, Masafumi; Yamada, Takechiyo; Fujieda, Shigeharu; Tanaka, Shota; Doi, Satoru; Miyatake, Akihiko; Enomoto, Tadao; Nishiyama, Chiharu; Nakano, Nobuhiro; Maeda, Keiko; Okumura, Ko; Ogawa, Hideoki; Ikeda, Shigaku; Noguchi, Emiko; Sakamoto, Tohru; Hizawa, Nobuyuki; Ebe, Koji; Saeki, Hidehisa; Sasaki, Takashi; Ebihara, Tamotsu; Amagai, Masayuki; Takeuchi, Satoshi; Furue, Masutaka; Nakamura, Yusuke; Tamari, Mayumi

    2012-11-01

    Atopic dermatitis is a common inflammatory skin disease caused by interaction of genetic and environmental factors. On the basis of data from a genome-wide association study (GWAS) and a validation study comprising a total of 3,328 subjects with atopic dermatitis and 14,992 controls in the Japanese population, we report here 8 new susceptibility loci: IL1RL1-IL18R1-IL18RAP (P(combined) = 8.36 × 10(-18)), the major histocompatibility complex (MHC) region (P = 8.38 × 10(-20)), OR10A3-NLRP10 (P = 1.54 × 10(-22)), GLB1 (P = 2.77 × 10(-16)), CCDC80 (P = 1.56 × 10(-19)), CARD11 (P = 7.83 × 10(-9)), ZNF365 (P = 5.85 × 10(-20)) and CYP24A1-PFDN4 (P = 1.65 × 10(-8)). We also replicated the associations of the FLG, C11orf30, TMEM232-SLC25A46, TNFRSF6B-ZGPAT, OVOL1, ACTL9 and KIF3A-IL13 loci that were previously reported in GWAS of European and Chinese individuals and a meta-analysis of GWAS for atopic dermatitis. These findings advance the understanding of the genetic basis of atopic dermatitis.

  7. Childhood indicators of susceptibility to subsequent cervical cancer

    OpenAIRE

    Montgomery, S M; Ehlin, A G C; Sparén, P.; Björkstén, B; Ekbom, A.

    2002-01-01

    Common warts could indicate cervical cancer susceptibility, as both are caused by human papillomavirus (HPV). Eczema was also investigated, as atopic eczema has been negatively associated with warts, but non-atopic eczema may be associated with compromised host defences, as observed in patients with HIV, suggesting increased susceptibility to HPV infection and cervical cancer. ‘Cervical cancer’ was self-reported during an interview by 87 of 7594 women members of two longitudinal British birth...

  8. A comprehensive examination of breast cancer risk loci in African American women

    OpenAIRE

    Feng, Ye; Stram, Daniel O.; Rhie, Suhn Kyong; Millikan, Robert C.; Ambrosone, Christine B.; John, Esther M; Bernstein, Leslie; Zheng, Wei; Olshan, Andrew F.; Jennifer J Hu; Ziegler, Regina G.; Nyante, Sarah; Bandera, Elisa V.; Sue A Ingles; Michael F. Press

    2014-01-01

    Genome-wide association studies have identified 73 breast cancer risk variants mainly in European populations. Given considerable differences in linkage disequilibrium structure between populations of European and African ancestry, the known risk variants may not be informative for risk in African ancestry populations. In a previous fine-mapping investigation of 19 breast cancer loci, we were able to identify SNPs in four regions that better captured risk associations in African American wome...

  9. 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.

  10. Functional annotations of diabetes nephropathy susceptibility loci through analysis of genome-wide renal gene expression in rat models of diabetes mellitus

    DEFF Research Database (Denmark)

    Hu, Yaomin; Kaisaki, Pamela J; Argoud, Karène;

    2009-01-01

    to hyperglycaemia and renal structural changes of positional candidate genes at selected diabetic nephropathy (DN) susceptibility loci. METHODS: Both Affymetrix and Illumina technologies were used to identify significant quantitative changes in the abundance of over 15,000 transcripts in kidney of models...... number of protein coding sequences of unknown function which can be considered as functional and, when they map to DN loci, positional candidates for DN. Further expression analysis of rat orthologs of human DN positional candidate genes provided functional annotations of known and novel genes...... that are responsive to hyperglycaemia and may contribute to renal functional and/or structural alterations. CONCLUSION: Combining transcriptomics in animal models and comparative genomics provides important information to improve functional annotations of disease susceptibility loci in humans and experimental support...

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

    Science.gov (United States)

    McQueen, Cole M; Doan, Ryan; Dindot, Scott V; Bourquin, Jessica R; Zlatev, Zlatomir Z; Chaffin, M Keith; Blodgett, Glenn P; Ivanov, Ivan; Cohen, Noah D

    2014-01-01

    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. PMID:24892408

  12. 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.

  13. A genome scan for type 2 diabetes susceptibility loci in a genetically isolated population.

    Science.gov (United States)

    Permutt, M A; Wasson, J C; Suarez, B K; Lin, J; Thomas, J; Meyer, J; Lewitzky, S; Rennich, J S; Parker, A; DuPrat, L; Maruti, S; Chayen, S; Glaser, B

    2001-03-01

    A total of 896 individuals of Ashkenazi Jewish descent were ascertained in Israel from 267 multiplex families, including 472 sib-pairs affected with type 2 diabetes. A genome-wide scan with average marker spacing of 9.5 cM revealed five regions on four chromosomes (4q, 8q, 14q, and 20q) that exhibited nominal evidence for linkage (P families were ranked by BMI (in increasing order) did a subset attain nominal significance, and only for chromosome 4. The findings reported here lend credence to the hypothesis, now supported by four studies of Caucasian populations and most recently by a combined analysis of 1,852 pedigrees, that a type 2 diabetes susceptibility locus resides on chromosome 20q. This population, because of its unique genetic attributes, may facilitate identification of this and other genes contributing to type 2 diabetes. PMID:11246891

  14. The Role of MicroRNAs in Cancer Susceptibility

    Directory of Open Access Journals (Sweden)

    Rodolfo Iuliano

    2013-01-01

    Full Text Available Single nucleotide polymorphisms (SNPs are germline variations interspersed in the human genome. These subtle changes of DNA sequence can influence the susceptibility to various pathologies including cancer. The functional meaning of SNPs is not always clear, being, the majority of them, localized in noncoding regions. The discovery of microRNAs, tiny noncoding RNAs able to bind the 3′ untranslated region (UTR of target genes and to consequently downregulate their expression, has provided a functional explanation of how some SNPs positioned in noncoding regions contribute to cancer susceptibility. In this paper we summarize the current knowledge of the effect on cancer susceptibility of SNPs included in regions related with miRNA-dependent pathways. Hereditary cancer comes up from mutations that occur in high-penetrant predisposing tumor genes. However, a considerable part of inherited cancers arises from multiple low-penetrant predisposing gene variants that influence the behavior of cancer insurgence. Despite the established significance of such polymorphic variants in cancer predisposition, sometimes their functional role remains unknown. The discovery of a new group of genes called microRNAs (miRNAs opened an avenue for the functional interpretation of polymorphisms involved in cancer predisposition.

  15. Epidermal characteristics related to skin cancer susceptibility

    International Nuclear Information System (INIS)

    We have compared the basal cell labeling index and cellular architecture in samples of epidermis removed by vacuum blistering from people with or without a personal history of skin cancer. Donors with no family history of skin cancer showed a basal cell labeling index of 5.5% with a standard deviation of 1.3%. Those not personally affected but with a family history gave 4.1% +/- 0.4% but among cancer patients the value was approximately doubled to 11.5% +/- 2.7%. The proportion of cells replicating was reduced after ultraviolet irradiation, with a D0 of 40 J/m2 for UVB but no difference could be demonstrated between individuals with or without a history of skin cancer

  16. CHEK2 1100delC and polygenic susceptibility to breast cancer and colorectal cancer

    NARCIS (Netherlands)

    M. Wasielewski (Marijke)

    2009-01-01

    textabstractApproximately 15-25% of breast cancers are identified in women with a family history of breast cancer. Yet, germline mutations in the currently known breast cancer susceptibility genes account for only one-third of familial breast cancer cases. In 2002, our research group had identified

  17. The MTAP-CDKN2A Locus Confers Susceptibility to a Naturally Occurring Canine Cancer

    Science.gov (United States)

    Shearin, Abigail L.; Hedan, Benoit; Cadieu, Edouard; Erich, Suzanne A.; Schmidt, Emmett V.; Faden, Daniel L.; Cullen, John; Abadie, Jerome; Kwon, Erika M.; Gröne, Andrea; Devauchelle, Patrick; Rimbault, Maud; Karyadi, Danielle M.; Lynch, Mary; Galibert, Francis; Breen, Matthew; Rutteman, Gerard R.; André, Catherine; Parker, Heidi G.; Ostrander, Elaine A.

    2012-01-01

    Background Advantages offered by canine population substructure, combined with clinical presentations similar to human disorders, makes the dog an attractive system for studies of cancer genetics. Cancers that have been difficult to study in human families or populations are of particular interest. Histiocytic sarcoma is a rare and poorly understood neoplasm in humans that occurs in 15–25% of Bernese Mountain Dogs (BMD). Methods Genomic DNA was collected from affected and unaffected BMD in North America (NA) and Europe. Both independent and combined genome wide association studies (GWAS) were used to identify cancer-associated loci. Fine mapping and sequencing narrowed the primary locus to a single gene region. Results Both populations shared the same primary locus, which features a single haplotype spanning MTAP and part of CDKN2A and is present in 96% of affected BMD. The haplotype is within the region homologous to human chromosome 9p21, which has been implicated in several types of cancer. Conclusions We present the first GWAS for HS in any species. The data identify an associated haplotype in the highly cited tumor suppressor locus near CDKN2A. These data demonstrate the power of studying distinctive malignancies in highly predisposed dog breeds. Impact Here, we establish a naturally-occurring model of cancer susceptibility due to CDKN2 dysregulation, thus providing insight regarding this cancer-associated, complex, and poorly understood genomic region. PMID:22623710

  18. Breast Tissue Composition and Susceptibility to Breast Cancer

    OpenAIRE

    Boyd, Norman F.; Lisa J Martin; Bronskill, Michael; Martin J. Yaffe; Duric, Neb; Minkin, Salomon

    2010-01-01

    Breast density, as assessed by mammography, reflects breast tissue composition. Breast epithelium and stroma attenuate x-rays more than fat and thus appear light on mammograms while fat appears dark. In this review, we provide an overview of selected areas of current knowledge about the relationship between breast density and susceptibility to breast cancer. We review the evidence that breast density is a risk factor for breast cancer, the histological and other risk factors that are associat...

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

    NARCIS (Netherlands)

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

    2013-01-01

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

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

    NARCIS (Netherlands)

    F.J. Couch (Fergus); X. Wang (Xing); L. McGuffog (Lesley); A. Lee; C. Olswold (Curtis); K.B. Kuchenbaecker (Karoline); P. Soucy (Penny); Z. Fredericksen (Zachary); D. Barrowdale (Daniel); J. Dennis (Joe); M.M. Gaudet (Mia); E. Dicks (Ed); M. Kosel (Matthew); S. Healey (Sue); O. Sinilnikova (Olga); F. Bacot (Francois); D. Vincent (Daniel); F.B.L. Hogervorst (Frans); S. Peock (Susan); D. Stoppa-Lyonnet (Dominique); A. Jakubowska (Anna); P. Radice (Paolo); R.K. Schmutzler (Rita); S.M. Domchek (Susan); M. Piedmonte (Marion); C.F. Singer (Christian); E. Friedman (Eitan); M. Thomassen (Mads); T.V.O. Hansen (Thomas); S.L. Neuhausen (Susan); C. Szabo (Csilla); I. Blanco (Ignacio); M.H. Greene (Mark); B. Karlan; J. Garber; C. Phelan (Catherine); J.N. Weitzel (Jeffrey); M. Montagna (Marco); E. Olah; I.L. Andrulis (Irene); A.K. Godwin (Andrew); D. Yannoukakos (Drakoulis); D. Goldgar (David); T. Caldes (Trinidad); H. Nevanlinna (Heli); A. Osorio (Ana); M.-B. Terry (Mary-Beth); M.B. Daly (Mary); E.J. van Rensburg (Elizabeth); U. Hamann (Ute); S.J. Ramus (Susan); A. Ewart-Toland (Amanda); M.A. Caligo (Maria); O.I. Olopade (Olofunmilayo); N. Tung (Nadine); K. Claes (Kathleen); M.S. Beattie (Mary); M.C. Southey (Melissa); E.N. Imyanitov (Evgeny); M. Tischkowitz (Marc); R. Janavicius (Ramunas); E.M. John (Esther); A. Kwong (Ava); O. Diez (Orland); J. Balmana (Judith); R.B. Barkardottir (Rosa); B.K. Arun (Banu); G. Rennert (Gad); S.-H. Teo; P.A. Ganz (Patricia); I. Campbell (Ian); A.H. van der Hout (Annemarie); C.H.M. van Deurzen (Carolien); C.M. Seynaeve (Caroline); E.B. Gómez García (Encarna); F.E. van Leeuwen (F.); H.E.J. Meijers-Heijboer (Hanne E.); J.J. Gille (Johan); M.G.E.M. Ausems (Margreet); M.J. Blok (Marinus); M.J. Ligtenberg (Marjolijn); M.A. Rookus (Matti); P. Devilee (Peter); S. Verhoef; T.A.M. van Os (Theo); J.T. Wijnen (Juul); D. Frost (Debra); S. Ellis (Steve); E. Fineberg (Elena); R. Platte (Radka); D.G. Evans (Gareth); L. Izatt (Louise); R. Eeles (Rosalind); J.W. Adlard (Julian); D. Eccles (Diana); J. Cook (Jackie); C. Brewer (C.); F. Douglas (Fiona); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); L. Side (Lucy); A. Donaldson (Alan); C. Houghton (Catherine); M.T. Rogers (Mark); H. Dorkins (Huw); J. Eason (Jacqueline); H. Gregory (Helen); E. McCann (Emma); A. Murray (Alexandra); A. Calender (Alain); A. Hardouin (Agnès); P. Berthet (Pascaline); C.D. Delnatte (Capucine); C. Nogues (Catherine); C. Lasset (Christine); C. Houdayer (Claude); D. Leroux (Dominique); E. Rouleau (Etienne); F. Prieur (Fabienne); F. Damiola (Francesca); H. Sobol (Hagay); I. Coupier (Isabelle); L. Vénat-Bouvet (Laurence); L. Castera (Laurent); M. Gauthier-Villars (Marion); M. Léone (Mélanie); P. Pujol (Pascal); S. Mazoyer (Sylvie); Y.-J. Bignon (Yves-Jean); E. Złowocka-Perłowska (Elzbieta); J. Gronwald (Jacek); J. Lubinski (Jan); K. Durda (Katarzyna); K. Jaworska (Katarzyna); T. Huzarski (Tomasz); A.B. Spurdle (Amanda); A. Viel (Alessandra); B. Peissel (Bernard); B. Bonnani (Bernardo); G. Melloni (Giulia); L. Ottini (Laura); L. Papi (Laura); L. Varesco (Liliana); M.G. Tibiletti (Maria Grazia); P. Peterlongo (Paolo); S. Volorio (Sara); S. Manoukian (Siranoush); V. Pensotti (Valeria); N. Arnold (Norbert); C. Engel (Christoph); H. Deissler (Helmut); D. Gadzicki (Dorothea); P.A. Gehrig (Paola A.); K. Kast (Karin); K. Rhiem (Kerstin); A. Meindl (Alfons); D. Niederacher (Dieter); N. Ditsch (Nina); H. Plendl (Hansjoerg); S. Preisler-Adams (Sabine); S. Engert (Stefanie); C. Sutter (Christian); R. Varon-Mateeva (Raymonda); B. Wapenschmidt (Barbara); B.H.F. Weber (Bernhard); B. Arver (Brita Wasteson); M. Stenmark-Askmalm (M.); N. Loman (Niklas); R. Rosenquist (R.); Z. Einbeigi (Zakaria); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); S.V. Blank (Stephanie); D.E. Cohn (David); G.C. Rodriguez (Gustavo); L. Small (Laurie); M. Friedlander (Michael); V.L. Bae-Jump (Victoria L.); A. Fink-Retter (Anneliese); C. Rappaport (Christine); D. Gschwantler-Kaulich (Daphne); G. Pfeiler (Georg); M.-K. Tea; N.M. Lindor (Noralane); B. Kaufman (Bella); S. Shimon Paluch (Shani); Y. Laitman (Yael); A.-B. Skytte (Anne-Bine); A-M. Gerdes (Anne-Marie); I.S. Pedersen (Inge Sokilde); S.T. Moeller (Sanne Traasdahl); T.A. Kruse (Torben); U.B. Jensen; J. Vijai (Joseph); K. Sarrel (Kara); M. Robson (Mark); N. Kauff (Noah); A.M. Mulligan (Anna Marie); G. Glendon (Gord); H. Ozcelik (Hilmi); B. Ejlertsen (Bent); F.C. Nielsen (Finn); L. Jønson (Lars); M.K. Andersen (Mette); Y.C. Ding (Yuan); L. Steele (Linda); L. Foretova (Lenka); A. Teulé (A.); C. Lazaro (Conxi); J. Brunet (Joan); M.A. Pujana (Miguel); P.L. Mai (Phuong); J.T. Loud (Jennifer); C.S. Walsh (Christine); K.J. Lester (Kathryn); S. Orsulic (Sandra); S. Narod (Steven); J. Herzog (Josef); S.R. Sand (Sharon); S. Tognazzo (Silvia); S. Agata (Simona); T. Vaszko (Tibor); J. Weaver (JoEllen); A. Stavropoulou (Alexandra); S.S. Buys (Saundra); A. Romero (Alfonso); M. de La Hoya (Miguel); K. Aittomäki (Kristiina); T.A. Muranen (Taru); M. Duran; W.K. Chung (Wendy); A. Lasa (Adriana); C.M. Dorfling (Cecelia); A. Miron (Alexander); J. Benítez (Javier); L. Senter (Leigha); D. Huo (Dezheng); S. Chan (Salina); A. Sokolenko (Anna); J. Chiquette (Jocelyne); L. Tihomirova (Laima); M.O.W. Friebel (Mark ); B.A. Agnarsson (Bjarni); K.H. Lu (Karen); F. Lejbkowicz (Flavio); P.A. James (Paul ); A.S. Hall (Alistair); A.M. Dunning (Alison); Y. Tessier (Yann); J. Cunningham (Jane); S. Slager (Susan); C. Wang (Chen); S. Hart (Stewart); K. Stevens (Kristen); J. Simard (Jacques); T. Pastinen (Tomi); V.S. Pankratz (Shane); K. Offit (Kenneth); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); A.C. Antoniou (Antonis); H. Thorne (Heather); E. Niedermayr (Eveline); Å. Borg (Åke); H. Olsson; H. Jernström (H.); K. Henriksson (Karin); K. Harbst (Katja); M. Soller (Maria); U. Kristoffersson (Ulf); A. Öfverholm (Anna); M. Nordling (Margareta); P. Karlsson (Per); A. von Wachenfeldt (Anna); A. Liljegren (Annelie); A. Lindblom (Annika); G.B. Bustinza; J. Rantala (Johanna); B. Melin (Beatrice); C.E. Ardnor (Christina Edwinsdotter); M. Emanuelsson (Monica); H. Ehrencrona (Hans); M.H. Pigg (Maritta ); S. Liedgren (Sigrun); M.A. Rookus (M.); S. Verhoef (S.); F.E. van Leeuwen (F.); M.K. Schmidt (Marjanka); J.L. de Lange (J.); J.M. Collee (Margriet); A.M.W. van den Ouweland (Ans); M.J. Hooning (Maartje); C.J. van Asperen (Christi); J.T. Wijnen (Juul); R.A.E.M. Tollenaar (Rob); P. Devilee (Peter); T.C.T.E.F. van Cronenburg; C.M. Kets; A.R. Mensenkamp (Arjen); R.B. van der Luijt (Rob); C.M. Aalfs (Cora); T.A.M. van Os (Theo); Q. Waisfisz (Quinten); E.J. Meijers-Heijboer (Hanne); E.B. Gomez Garcia (Encarna); J.C. Oosterwijk (Jan); M.J. Mourits; G.H. de Bock (Geertruida); S.D. Ellis (Steve); E. Fineberg (Elena); Z. Miedzybrodzka (Zosia); L. Jeffers (Lisa); T.J. Cole (Trevor); K.-R. Ong (Kai-Ren); J. Hoffman (Jonathan); M. James (Margaret); J. Paterson (Joan); A. Taylor (Amy); A. Murray (Anna); M.J. Kennedy (John); D.E. Barton (David); M.E. Porteous (Mary); S. Drummond (Sarah); C. Brewer (Carole); E. Kivuva (Emma); A. Searle (Anne); S. Goodman (Selina); R. Davidson (Rosemarie); V. Murday (Victoria); N. Bradshaw (Nicola); L. Snadden (Lesley); M. Longmuir (Mark); C. Watt (Catherine); S. Gibson (Sarah); E. Haque (Eshika); E. Tobias (Ed); A. Duncan (Alexis); L. Izatt (Louise); C. Jacobs (Chris); C. Langman (Caroline); A.F. Brady (Angela); S.A. Melville (Scott); K. Randhawa (Kashmir); J. Barwell (Julian); G. Serra-Feliu (Gemma); I.O. Ellis (Ian); F. Lalloo (Fiona); J. Taylor (James); A. Male (Alison); C. Berlin (Cheryl); R. Collier (Rebecca); F. Douglas (Fiona); O. Claber (Oonagh); I. Jobson (Irene); L.J. Walker (Lisa); D. McLeod (Diane); D. Halliday (Dorothy); S. Durell (Sarah); B. Stayner (Barbara); S. Shanley (Susan); N. Rahman (Nazneen); R. Houlston (Richard); A. Stormorken (Astrid); E. Bancroft (Elizabeth); E. Page (Elizabeth); A. Ardern-Jones (Audrey); K. Kohut (Kelly); J. Wiggins (Jennifer); E. Castro (Elena); S.R. Killick; S. Martin (Sue); D. Rea (Dan); A. Kulkarni (Anjana); O. Quarrell (Oliver); C. Bardsley (Cathryn); S. Goff (Sheila); G. Brice (Glen); L. Winchester (Lizzie); C. Eddy (Charlotte); V. Tripathi (Vishakha); V. Attard (Virginia); A. Lehmann (Anna); A. Lucassen (Anneke); G. Crawford (Gabe); D. McBride (Donna); S. Smalley (Sarah); S. Mazoyer (Sylvie); F. Damiola (Francesca); L. Barjhoux (Laure); C. Verny-Pierre (Carole); S. Giraud (Sophie); D. Stoppa-Lyonnet (Dominique); B. Buecher (Bruno); V. Moncoutier (Virginie); M. Belotti (Muriel); C. Tirapo (Carole); A. de Pauw (Antoine); B. Bressac-de Paillerets (Brigitte); O. Caron (Olivier); Y.-J. Bignon (Yves-Jean); N. Uhrhammer (Nancy); V. Bonadona (Valérie); S. Handallou (Sandrine); A. hardouin (Agnès); H. Sobol (Hagay); V. Bourdon (Violaine); T. Noguchi (Tetsuro); A. Remenieras (Audrey); F. Eisinger (François); J.-P. Peyrat; J. Fournier (Joëlle); F. Révillion (Françoise); P. Vennin (Philippe); C. Adenis (Claude); R. Lidereau (Rosette); L. Demange (Liliane); D.W. Muller (Danièle); J.P. Fricker (Jean Pierre); E. Barouk-Simonet (Emmanuelle); F. Bonnet (Françoise); V. Bubien (Virginie); N. Sevenet (Nicolas); M. Longy (Michel); C. Toulas (Christine); R. Guimbaud (Rosine); L. Gladieff (Laurence); V. Feillel (Viviane); H. Dreyfus (Hélène); C. Rebischung (Christine); M. Peysselon (Magalie); F. Coron (Fanny); L. Faivre (Laurence); M. Lebrun (Marine); C. Kientz (Caroline); S.F. Ferrer; M. Frenay (Marc); I. Mortemousque (Isabelle); F. Coulet (Florence); C. Colas (Chrystelle); F. Soubrier; J. Sokolowska (Johanna); M. Bronner (Myriam); H. Lynch (Henry); C.L. Snyder (Carrie); M. Angelakos (Maggie); J. Maskiell (Judi); G.S. Dite (Gillian)

    2013-01-01

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

  1. Common non-synonymous SNPs associated with breast cancer susceptibility

    DEFF Research Database (Denmark)

    Milne, Roger L; Burwinkel, Barbara; Michailidou, Kyriaki;

    2014-01-01

    Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsS...

  2. Subtle variations in Pten dose determine cancer susceptibility.

    Science.gov (United States)

    Alimonti, Andrea; Carracedo, Arkaitz; Clohessy, John G; Trotman, Lloyd C; Nardella, Caterina; Egia, Ainara; Salmena, Leonardo; Sampieri, Katia; Haveman, William J; Brogi, Edi; Richardson, Andrea L; Zhang, Jiangwen; Pandolfi, Pier Paolo

    2010-05-01

    Cancer susceptibility has been attributed to at least one heterozygous genetic alteration in a tumor suppressor gene (TSG). It has been hypothesized that subtle variations in TSG expression can promote cancer development. However, this hypothesis has not yet been definitively supported in vivo. Pten is a TSG frequently lost in human cancer and mutated in inherited cancer-predisposition syndromes. Here we analyze Pten hypermorphic mice (Pten(hy/+)), expressing 80% normal levels of Pten. Pten(hy/+) mice develop a spectrum of tumors, with breast tumors occurring at the highest penetrance. All breast tumors analyzed here retained two intact copies of Pten and maintained Pten levels above heterozygosity. Notably, subtle downregulation of Pten altered the steady-state biology of the mammary tissues and the expression profiles of genes involved in cancer cell proliferation. We present an alterative working model for cancer development in which subtle reductions in the dose of TSGs predispose to tumorigenesis in a tissue-specific manner.

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

    Science.gov (United States)

    Janse, Marcel; Lamberts, Laetitia E; Franke, Lude; Raychaudhuri, Soumya; Ellinghaus, Eva; MuriBoberg, Kirsten; Melum, Espen; Folseraas, Trine; Schrumpf, Erik; Bergquist, Annika; Bjornsson, Einar; Fu, Jingyuan; Westra, Harm Jan; Groen, Harry JM; Fehrmann, Rudolf SN; Smolonska, Joanna; van den Berg, Leonard H; Ophoff, Roel A; Porte, Robert J; Weismuller, Tobias J; Wedemeyer, Jochen; Schramm, Christoph; Sterneck, Martina; Gunther, Rainer; Braun, Felix; Vermeire, Severine; Henckaerts, Liesbet; Wijmenga, Cisca; Ponsioen, Cyriel Y.; Schreiber, Stefan; HKarlsen, Tom; 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 identified for ulcerative colitis (UC) in a large cohort of 1186PSC patients and 1748 controls. Single nucleotide polymorphisms (SNPs) tagging 13 UC susceptibility loci were initially genotyped in 854 PSC patients and 1491 controls from the Benelux (331 cases, 735 controls), Germany (265 cases, 368 controls) and Scandinavia (258 cases, 388 controls). Subsequently, a joint analysis was performed with an independent second Scandinavian cohort (332 cases, 257 controls). SNPs at chromosomes2p16 (p value 4.12×10−4), 4q27 (p value 4.10×10−5) and 9q34 (p value 8.41×10−4) were associated with PSC in the joint analysis after correcting for multiple testing. In PSC patients without inflammatory bowel disease(IBD), SNPs at 4q27and9q34 were nominally associated (p<0.05). We applied additional in silico analyses to identify likely candidate genes at PSC susceptibility loci. To identify non-random, evidence-based links we used GRAIL analysis showing interconnectivity between genes in six out of in total nine PSC-associated regions. Expression quantitative trait analysis from 1469 Dutch and UK individuals demonstrated that five out of nine SNPs had an effect on cis-gene expression. These analyses prioritized IL2, CARD9 and REL as novel candidates. Conclusion We have identified three UC susceptibility loci to be associated with PSC, harboring the putative candidate genes REL, IL2 and CARD9. These results add to the scarce knowledge on the genetic background of PSC and imply an important role for both innate and adaptive immunological factors. PMID:21425313

  4. Counselling framework for moderate-penetrance cancer-susceptibility mutations.

    Science.gov (United States)

    Tung, Nadine; Domchek, Susan M; Stadler, Zsofia; Nathanson, Katherine L; Couch, Fergus; Garber, Judy E; Offit, Kenneth; Robson, Mark E

    2016-09-01

    The use of multigene panels for the assessment of cancer susceptibility is expanding rapidly in clinical practice, particularly in the USA, despite concerns regarding the uncertain clinical validity for some gene variants and the uncertain clinical utility of most multigene panels. So-called 'moderate-penetrance' gene mutations associated with cancer susceptibility are identified in approximately 2-5% of individuals referred for clinical testing; some of these mutations are potentially actionable. Nevertheless, the appropriate management of individuals harbouring such moderate-penetrance genetic variants is unclear. The cancer risks associated with mutations in moderate-penetrance genes are lower and different than those reported for high-penetrance gene mutations (such as mutations in BRCA1 and BRCA2, and those associated with Lynch syndrome). The extrapolation of guidelines for the management of individuals with high-penetrance variants of cancer-susceptibility genes to the clinical care of patients with moderate-penetrance gene mutations could result in substantial harm. Thus, we provide a framework for clinical decision-making pending the development of a sufficient evidence base to document the clinical utility of the interventions for individuals with inherited moderate-penetrance gene mutations associated with an increased risk of cancer. PMID:27296296

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

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    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.

  6. EXPRESSION OF GENETIC LOCI IN THE PERIPHERAL BLOOD MONONUCLEAR FRACTION FROM PATIENTS WITH PROSTATE CANCER

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    M. I. Kogan

    2014-08-01

    Full Text Available The early diagnosis and radical treatment of aggressive prostate cancers (PC is an effective way of improving survival and quality of life in patients. To develop mini-invasive tests is one of the ways of solving the problem. The cells of a peripheral blood mononuclear fraction in the expression patterns of their genetic loci reflect the presence or absence of cancers, including information on therapeutic effectiveness. RT-PRC was used to study the relative expression of 15 genetic loci in a chromosome and one locus of mitochondrial DNA in the cells of the peripheral blood mononuclear fraction in patients with PC or benign prostate hyperplasia and in healthy men. The genetic locus patterns whose change may be of informative value for differential diagnosis in patients with different stages of PC were revealed. The authors studied the relationship and showed the prognostic role and non-relationship of the altered transcriptional activity of loci in the TP53, GSTP1, and IL10 genes in PC to the changes in prostate-specific antigen the level with 90 % specificity and 93 % specificity.

  7. Role of ATG10 expression quantitative trait loci in non-small cell lung cancer survival.

    Science.gov (United States)

    Xie, Kaipeng; Liang, Cheng; Li, Qin; Yan, Caiwang; Wang, Cheng; Gu, Yayun; Zhu, Meng; Du, Fangzhi; Wang, Hui; Dai, Juncheng; Liu, Xiao'an; Jin, Guangfu; Shen, Hongbing; Ma, Hongxia; Hu, Zhibin

    2016-10-01

    The aim of this article was to evaluate whether genetic variants in autophagy-related genes affect the overall survival (OS) of non-small cell lung cancer (NSCLC) patients. We analyzed 14 single nucleotide polymorphisms (SNPs) in core autophagy-related genes for OS in 1,001 NSCLC patients. Three promising SNPs in ATG10 were subsequently annotated by the expression quantitative trait loci (eQTL) and methylation quantitative trait loci (meQTL) analyses based on Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) datasets. We observed that the variants of rs10514231, rs1864182 and rs1864183 were associated with poor lung cancer survival (HR = 1.33, 95% CI = 1.07-1.65; HR = 1.43, 95% CI = 1.13-1.81; HR = 1.38, 95% CI = 1.14-1.68, respectively) and positively correlated with ATG10 expression (all p lung cancer patients in TCGA dataset (HR = 2.10, 95% CI = 1.33-3.29). Moreover, the variants of rs10514231 and rs1864182 were associated with the increased methylation levels of cg17942617 (meQTL), which in turn contributed to the elevated ATG10 expression and decreased survival time. Further functional assays revealed that ATG10 facilitated lung cancer cell proliferation and migration. Our findings suggest that eQTL/meQTL variations of ATG10 could influence lung cancer survival through regulating ATG10 expression. PMID:27225307

  8. Genome-wide association study of ulcerative colitis identifies three new susceptibility loci, including the HNF4A region.

    OpenAIRE

    CORVIN, AIDEN PETER

    2009-01-01

    PUBLISHED Ulcerative colitis (UC) is a common form of inflammatory bowel disease with a complex aetiology. As part of the Wellcome Trust Case Control Consortium 2, we performed a genome- wide association scan for UC in 2361 cases and 5417 controls. Loci showing evidence of association at P < 1 ? 10 ?5 were followed up by genotyping in an independent set of 2321 cases and 4818 controls. We find genome-wide significant evidence of association at three new loci, each cont...

  9. Prostate Cancer Susceptibility Polymorphism rs2660753 Is Not Associated with Invasive Ovarian Cancer

    DEFF Research Database (Denmark)

    Amankwah, Ernest K; Kelemen, Linda E; Wang, Qinggang;

    2011-01-01

    BACKGROUND: We previously reported an association between rs2660753, a prostate cancer susceptibility polymorphism, and invasive epithelial ovarian cancer (EOC; OR = 1.2, 95% CI=1.0-1.4, P(trend) = 0.01) that showed a stronger association with the serous histological subtype (OR = 1.3, 95% CI = 1.......1-1.5, P(trend) = 0.003). METHODS: We sought to replicate this association in 12 other studies comprising 4,482 cases and 6,894 controls of white non-Hispanic ancestry in the Ovarian Cancer Association Consortium. RESULTS: No evidence for an association with all cancers or serous cancers was observed.......0-1.2, P(trend) = 0.11). There was no evidence for statistical heterogeneity in ORs across the studies. CONCLUSIONS: Although rs2660753 is a strong prostate cancer susceptibility polymorphism, the association with another hormonally related cancer, invasive EOC, is not supported by this replication study...

  10. Prostate Cancer Susceptibility Polymorphism rs2660753 Is Not Associated with Invasive Ovarian Cancer

    DEFF Research Database (Denmark)

    Amankwah, Ernest K; Kelemen, Linda E; Wang, Qinggang;

    2011-01-01

    BACKGROUND: We previously reported an association between rs2660753, a prostate cancer susceptibility polymorphism, and invasive epithelial ovarian cancer (EOC; OR = 1.2, 95% CI=1.0-1.4, P(trend) = 0.01) that showed a stronger association with the serous histological subtype (OR = 1.3, 95% CI = 1.......0-1.2, P(trend) = 0.11). There was no evidence for statistical heterogeneity in ORs across the studies. CONCLUSIONS: Although rs2660753 is a strong prostate cancer susceptibility polymorphism, the association with another hormonally related cancer, invasive EOC, is not supported by this replication study.......1-1.5, P(trend) = 0.003). METHODS: We sought to replicate this association in 12 other studies comprising 4,482 cases and 6,894 controls of white non-Hispanic ancestry in the Ovarian Cancer Association Consortium. RESULTS: No evidence for an association with all cancers or serous cancers was observed...

  11. Brief Report: Identification of BACH2 and RAD51B as Rheumatoid Arthritis Susceptibility Loci in a Meta-Analysis of Genome-Wide Data

    Science.gov (United States)

    McAllister, Kate; Yarwood, Annie; Bowes, John; Orozco, Gisela; Viatte, Sebastian; Diogo, Dorothée; Hocking, Lynne J; Steer, Sophia; Wordsworth, Paul; Wilson, A G; Morgan, Ann W; Kremer, Joel M; Pappas, Dimitrios; Gregersen, Peter; Klareskog, Lars; Plenge, Robert; Barton, Anne; Greenberg, Jeffrey; Worthington, Jane; Eyre, Stephen

    2013-01-01

    Objective A recent high-density fine-mapping (ImmunoChip) study of genetic associations in rheumatoid arthritis (RA) identified 14 risk loci with validated genome-wide significance, as well as a number of loci showing associations suggestive of significance (P = 5 × 10−5 < 5 × 10−8), but these have yet to be replicated. The aim of this study was to determine whether these potentially significant loci are involved in the pathogenesis of RA, and to explore whether any of the loci are associated with a specific RA serotype. Methods A total of 16 single-nucleotide polymorphisms (SNPs) were selected for genotyping and association analyses in 2 independent validation cohorts, comprising 6,106 RA cases and 4,290 controls. A meta-analysis of the data from the original ImmunoChip discovery cohort and from both validation cohorts was carried out, for a combined total of 17,581 RA cases and 20,160 controls. In addition, stratified analysis of patient subsets, defined according to their anti–cyclic citrullinated peptide (anti-CCP) antibody status, was performed. Results A significant association with RA risk (P < 0.05) was replicated for 6 of the SNPs assessed in the validation cohorts. All SNPs in the validation study had odds ratios (ORs) for RA susceptibility in the same direction as those in the ImmunoChip discovery study. One SNP, rs72928038, mapping to an intron of BACH2, achieved genome-wide significance in the meta-analysis (P = 1.2 × 10−8, OR 1.12), and a second SNP, rs911263, mapping to an intron of RAD51B, was significantly associated in the anti-CCP–positive RA subgroup (P = 4 × 10−8, OR 0.89), confirming that both are RA susceptibility loci. Conclusion This study provides robust evidence for an association of RA susceptibility with genes involved in B cell differentiation (BACH2) and DNA repair (RAD51B). The finding that the RAD51B gene exhibited different associations based on serologic subtype adds to the expanding knowledge base in defining

  12. Heuristic modeling of carcinogenesis for the population with dichotomous susceptibility to cancer: a pancreatic cancer example.

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    Tengiz Mdzinarishvili

    Full Text Available At present, carcinogenic models imply that all individuals in a population are susceptible to cancer. These models either ignore a fall of the cancer incidence rate at old ages, or use some poorly identifiable parameters for its accounting. In this work, a new heuristic model is proposed. The model assumes that, in a population, only a small fraction (pool of individuals is susceptible to cancer and decomposes the problem of the carcinogenic modeling on two sequentially solvable problems: (i determination of the age-specific hazard rate in individuals susceptible to cancer (individual hazard rate from the observed hazard rate in the population (population hazard rate; and (ii modelling of the individual hazard rate by a chosen "up" of the theoretical hazard function describing cancer occurrence in individuals in time (age. The model considers carcinogenesis as a failure of individuals susceptible to cancer to resist cancer occurrence in aging and uses, as the theoretical hazard function, the three-parameter Weibull hazard function, often utilized in a failure analysis. The parameters of this function, providing the best fit of the modeled and observed individual hazard rates (determined from the population hazard rates, are the outcomes of the modeling. The model was applied to the pancreatic cancer data. It was shown that, in the populations stratified by gender, race and the geographic area of living, the modeled and observed population hazard rates of pancreatic cancer occurrence have similar turnovers at old ages. The sizes of the pools of individuals susceptible to this cancer: (i depend on gender, race and the geographic area of living; (ii proportionally influence the corresponding population hazard rates; and (iii do not influence the individual hazard rates. The model should be further tested using data on other types of cancer and for the populations stratified by different categorical variables.

  13. Genetic polymorphisms and metabolism of endocrine disruptors in cancer susceptibility

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    Hatagima Ana

    2002-01-01

    Full Text Available Epidemiological studies have estimated that approximately 80% of all cancers are related to environmental factors. Individual cancer susceptibility can be the result of several host factors, including differences in metabolism, DNA repair, altered expression of tumor suppressor genes and proto-oncogenes, and nutritional status. Xenobiotic metabolism is the principal mechanism for maintaining homeostasis during the body's exposure to xenobiotics. The balance of xenobiotic absorption and elimination rates in metabolism can be important in the prevention of DNA damage by chemical carcinogens. Thus the ability to metabolize and eliminate xenobiotics can be considered one of the body's first protective mechanisms. Variability in individual metabolism has been related to the enzymatic polymorphisms involved in activation and detoxification of chemical carcinogens. This paper is a contemporary literature review on genetic polymorphisms involved in the metabolism of endocrine disruptors potentially related to cancer development.

  14. Genetic polymorphisms and metabolism of endocrine disruptors in cancer susceptibility

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    Ana Hatagima

    2002-04-01

    Full Text Available Epidemiological studies have estimated that approximately 80% of all cancers are related to environmental factors. Individual cancer susceptibility can be the result of several host factors, including differences in metabolism, DNA repair, altered expression of tumor suppressor genes and proto-oncogenes, and nutritional status. Xenobiotic metabolism is the principal mechanism for maintaining homeostasis during the body's exposure to xenobiotics. The balance of xenobiotic absorption and elimination rates in metabolism can be important in the prevention of DNA damage by chemical carcinogens. Thus the ability to metabolize and eliminate xenobiotics can be considered one of the body's first protective mechanisms. Variability in individual metabolism has been related to the enzymatic polymorphisms involved in activation and detoxification of chemical carcinogens. This paper is a contemporary literature review on genetic polymorphisms involved in the metabolism of endocrine disruptors potentially related to cancer development.

  15. Genome-wide association analysis identifies new susceptibility loci for Behçet's disease and epistasis between HLA-B*51 and ERAP1

    OpenAIRE

    Kirino, Yohei; Bertsias, George; Ishigatsubo, Yoshiaki; Mizuki, Nobuhisa; Tugal-Tutkun, Ilknur; Seyahi, Emire; Ozyazgan, Yilmaz; Sacli, F. Sevgi; Erer, Burak; Inoko, Hidetoshi; Emrence, Zeliha; Cakar, Atilla; Abaci, Neslihan; Ustek, Duran; Satorius, Colleen

    2013-01-01

    Patients with Behçet's disease (BD) suffer from episodic inflammation often affecting the orogenital mucosa, skin, and eyes. To discover new BD-susceptibility loci, we performed a genome-wide association study (GWAS) of 779,465 SNPs with imputed genotypes in 1,209 Turkish BD patients and 1,278 controls. We identified novel associations at CCR1, STAT4, and KLRC4. Additionally, two SNPs in ERAP1, encoding ERAP1 p.Asp575Asn and p.Arg725Gln, recessively conferred disease risk. These findings repl...

  16. Subtle variations in Pten dose determine cancer susceptibility

    Science.gov (United States)

    Alimonti, Andrea; Carracedo, Arkaitz; Clohessy, John G; Trotman, Lloyd C; Nardella, Caterina; Egia, Ainara; Salmena, Leonardo; Sampieri, Katia; Haveman, William J; Brogi, Edi; Richardson, Andrea L; Zhang, Jiangwen; Pandolfi, Pier Paolo

    2010-01-01

    Cancer susceptibility has been attributed to at least one heterozygous genetic alteration in a tumor suppressor gene (TSG)1. It has been hypothesized that subtle variations in TSG expression can promote cancer development2,3. However, this hypothesis has not yet been definitively supported in vivo. PTEN is a TSG frequently lost in human cancer and mutated in inherited cancer-predisposition syndromes4. Here, we analyze Pten hypermorphic mice (Ptenhy/+), expressing 80% normal levels of Pten. Ptenhy/+ mice develop a spectrum of tumors, with breast tumors occurring at the highest penetrance. All breast tumors analyzed here retained two intact copies of Pten and maintained Pten levels above heterozygosis. Notably, subtle downregulation of Pten altered the steady-state biology of the mammary tissues and the expression profiles of genes involved in cancer cell proliferation. We present an alterative working model for cancer development in which subtle reductions in the dose of TSGs predispose to tumorigenesis in a tissue-specific manner. PMID:20400965

  17. SATB1 tethers multiple gene loci to reprogram expression profiledriving breast cancer metastasis

    Energy Technology Data Exchange (ETDEWEB)

    Han, Hye-Jung; Kohwi, Yoshinori; Kohwi-Shigematsu, Terumi

    2006-07-13

    Global changes in gene expression occur during tumor progression, as indicated by expression profiling of metastatic tumors. How this occurs is poorly understood. SATB1 functions as a genome organizer by folding chromatin via tethering multiple genomic loci and recruiting chromatin remodeling enzymes to regulate chromatin structure and expression of a large number of genes. Here we show that SATB1 is expressed at high levels in aggressive breast cancer cells, and is undetectable in non-malignant breast epithelial cells. Importantly, RNAi-mediated removal of SATB1 from highly-aggressive MDA-MB-231 cells altered the expression levels of over 1200 genes, restored breast-like acinar polarity in three-dimensional cultures, and prevented the metastastic phenotype in vivo. Conversely, overexpression of SATB1 in the less-aggressive breast cancer cell line Hs578T altered the gene expression profile and increased metastasis dramatically in vivo. Thus, SATB1 is a global regulator of gene expression in breast cancer cells, directly regulating crucial metastasis-associated genes, including ERRB2 (HER2/NEU), TGF-{beta}1, matrix metalloproteinase 3, and metastasin. The identification of SATB1 as a protein that re-programs chromatin organization and transcription profiles to promote breast cancer metastasis suggests a new model for metastasis and may provide means of therapeutic intervention.

  18. Five endometrial cancer risk loci identified through genome-wide association analysis.

    Science.gov (United States)

    Cheng, Timothy H T; Thompson, Deborah J; O'Mara, Tracy A; Painter, Jodie N; Glubb, Dylan M; Flach, Susanne; Lewis, Annabelle; French, Juliet D; Freeman-Mills, Luke; Church, David; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Webb, Penelope M; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Henders, Anjali K; Martin, Nicholas G; Montgomery, Grant W; Nyholt, Dale R; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Dennis, Joe; Fasching, Peter A; Beckmann, Matthias W; Hein, Alexander; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dörk, Thilo; Dürst, Matthias; Hillemanns, Peter; Runnebaum, Ingo; Amant, Frederic; Schrauwen, Stefanie; Zhao, Hui; Lambrechts, Diether; Depreeuw, Jeroen; Dowdy, Sean C; Goode, Ellen L; Fridley, Brooke L; Winham, Stacey J; Njølstad, Tormund S; Salvesen, Helga B; Trovik, Jone; Werner, Henrica M J; Ashton, Katie; Otton, Geoffrey; Proietto, Tony; Liu, Tao; Mints, Miriam; Tham, Emma; Li, Mulin Jun; Yip, Shun H; Wang, Junwen; Bolla, Manjeet K; Michailidou, Kyriaki; Wang, Qin; Tyrer, Jonathan P; Dunlop, Malcolm; Houlston, Richard; Palles, Claire; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Cunningham, Julie M; Pharoah, Paul D P; Dunning, Alison M; Edwards, Stacey L; Easton, Douglas F; Tomlinson, Ian; Spurdle, Amanda B

    2016-06-01

    We conducted a meta-analysis of three endometrial cancer genome-wide association studies (GWAS) and two follow-up phases totaling 7,737 endometrial cancer cases and 37,144 controls of European ancestry. Genome-wide imputation and meta-analysis identified five new risk loci of genome-wide significance at likely regulatory regions on chromosomes 13q22.1 (rs11841589, near KLF5), 6q22.31 (rs13328298, in LOC643623 and near HEY2 and NCOA7), 8q24.21 (rs4733613, telomeric to MYC), 15q15.1 (rs937213, in EIF2AK4, near BMF) and 14q32.33 (rs2498796, in AKT1, near SIVA1). We also found a second independent 8q24.21 signal (rs17232730). Functional studies of the 13q22.1 locus showed that rs9600103 (pairwise r(2) = 0.98 with rs11841589) is located in a region of active chromatin that interacts with the KLF5 promoter region. The rs9600103[T] allele that is protective in endometrial cancer suppressed gene expression in vitro, suggesting that regulation of the expression of KLF5, a gene linked to uterine development, is implicated in tumorigenesis. These findings provide enhanced insight into the genetic and biological basis of endometrial cancer. PMID:27135401

  19. Contribution of environment and genetics to pancreatic cancer susceptibility.

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    Barbara A Hocevar

    Full Text Available Several risk factors have been identified as potential contributors to pancreatic cancer development, including environmental and lifestyle factors, such as smoking, drinking and diet, and medical conditions such as diabetes and pancreatitis, all of which generate oxidative stress and DNA damage. Oxidative stress status can be modified by environmental factors and also by an individual's unique genetic makeup. Here we examined the contribution of environment and genetics to an individual's level of oxidative stress, DNA damage and susceptibility to pancreatic cancer in a pilot study using three groups of subjects: a newly diagnosed pancreatic cancer group, a healthy genetically-unrelated control group living with the case subject, and a healthy genetically-related control group which does not reside with the subject. Oxidative stress and DNA damage was evaluated by measuring total antioxidant capacity, direct and oxidative DNA damage by Comet assay, and malondialdehyde levels. Direct DNA damage was significantly elevated in pancreatic cancer patients (age and sex adjusted mean ± standard error: 1.00 ± 0.05 versus both healthy unrelated and related controls (0.70 ± 0.06, pA and ERCC4 R415Q polymorphisms. These results suggest that measurement of DNA damage, as well as select SNPs, may provide an important screening tool to identify individuals at risk for development of pancreatic cancer.

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

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    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.

  1. Association of new loci identified in European genome-wide association studies with susceptibility to type 2 diabetes in the Japanese.

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    Toshihiko Ohshige

    Full Text Available BACKGROUND: Several novel susceptibility loci for type 2 diabetes have been identified through genome-wide association studies (GWAS for type 2 diabetes or quantitative traits related to glucose metabolism in European populations. To investigate the association of the 13 new European GWAS-derived susceptibility loci with type 2 diabetes in the Japanese population, we conducted a replication study using 3 independent Japanese case-control studies. METHODOLOGY/PRINCIPAL FINDINGS: We examined the association of single nucleotide polymorphisms (SNPs within 13 loci (MTNR1B, GCK, IRS1, PROX1, BCL11A, ZBED3, KLF14, TP53INP1, KCNQ1, CENTD2, HMGA2, ZFAND6 and PRC1 with type 2 diabetes using 4,964 participants (2,839 cases and 2,125 controls from 3 independent Japanese samples. The association of each SNP with type 2 diabetes was analyzed by logistic regression analysis. Further, we performed combined meta-analyses for the 3 studies and previously performed Japanese GWAS data (4,470 cases vs. 3,071 controls. The meta-analysis revealed that rs2943641 in the IRS1 locus was significantly associated with type 2 diabetes, (P = 0.0034, OR = 1.15 95% confidence interval; 1.05-1.26 and 3 SNPs, rs10930963 in the MTNR1B locus, rs972283 in the KLF14 locus, and rs231362 in the KCNQ1 locus, had nominal association with type 2 diabetes in the present Japanese samples (P<0.05. CONCLUSIONS: These results indicate that IRS1 locus may be common locus for type 2 diabetes across different ethnicities.

  2. Functional annotations of diabetes nephropathy susceptibility loci through analysis of genome-wide renal gene expression in rat models of diabetes mellitus

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    Farrall Martin

    2009-07-01

    Full Text Available Abstract Background Hyperglycaemia in diabetes mellitus (DM alters gene expression regulation in various organs and contributes to long term vascular and renal complications. We aimed to generate novel renal genome-wide gene transcription data in rat models of diabetes in order to test the responsiveness to hyperglycaemia and renal structural changes of positional candidate genes at selected diabetic nephropathy (DN susceptibility loci. Methods Both Affymetrix and Illumina technologies were used to identify significant quantitative changes in the abundance of over 15,000 transcripts in kidney of models of spontaneous (genetically determined mild hyperglycaemia and insulin resistance (Goto-Kakizaki-GK and experimentally induced severe hyperglycaemia (Wistar-Kyoto-WKY rats injected with streptozotocin [STZ]. Results Different patterns of transcription regulation in the two rat models of diabetes likely underlie the roles of genetic variants and hyperglycaemia severity. The impact of prolonged hyperglycaemia on gene expression changes was more profound in STZ-WKY rats than in GK rats and involved largely different sets of genes. These included genes already tested in genetic studies of DN and a large number of protein coding sequences of unknown function which can be considered as functional and, when they map to DN loci, positional candidates for DN. Further expression analysis of rat orthologs of human DN positional candidate genes provided functional annotations of known and novel genes that are responsive to hyperglycaemia and may contribute to renal functional and/or structural alterations. Conclusion Combining transcriptomics in animal models and comparative genomics provides important information to improve functional annotations of disease susceptibility loci in humans and experimental support for testing candidate genes in human genetics.

  3. 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

    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 interactions can now be analyzed in these cell types to identify which particular genes and regulatory sequences are causal....

  4. Genetic susceptibility for specific cancers. Medical liability of the clinician.

    Science.gov (United States)

    Severin, M J

    1999-12-01

    The use of genetic profiling techniques to detect individuals with an increased susceptibility to heritable cancers has provoked recent legal interest in the duties of the attending physician and in the rights of patients and their families. In the current study specific prima facie and recently litigated cases are presented and explored to delineate the issues facing physicians and to illustrate the prerogatives of patients who are caught up in a heritable cancer enigma. Various courts have attempted to answer questions involving lawsuits in which incidents of breast/ovarian carcinoma and colon carcinoma have provoked claims of negligence against health care providers. Health care workers involved in the care of these patients have specific duties to these individuals. It would appear that physicians are being forced to assume the additional duty of delving into a patient's family history of cancer through multiple generations. This duty is followed by a responsibility to provide detailed counseling to those patients in whom such activity impacts the diagnosis and management of familial cancer.

  5. In-silico QTL mapping of postpubertal mammary ductal development in the mouse uncovers potential human breast cancer risk loci

    Science.gov (United States)

    Genetic background plays a dominant role in mammary gland development and breast cancer (BrCa). Despite this, the role of genetics is only partially understood. This study used strain-dependent variation in an inbred mouse mapping panel, to identify quantitative trait loci (QTL) underlying structura...

  6. A systems genetics approach identifies CXCL14, ITGAX, and LPCAT2 as novel aggressive prostate cancer susceptibility genes.

    Directory of Open Access Journals (Sweden)

    Kendra A Williams

    2014-11-01

    Full Text Available Although prostate cancer typically runs an indolent course, a subset of men develop aggressive, fatal forms of this disease. We hypothesize that germline variation modulates susceptibility to aggressive prostate cancer. The goal of this work is to identify susceptibility genes using the C57BL/6-Tg(TRAMP8247Ng/J (TRAMP mouse model of neuroendocrine prostate cancer. Quantitative trait locus (QTL mapping was performed in transgene-positive (TRAMPxNOD/ShiLtJ F2 intercross males (n = 228, which facilitated identification of 11 loci associated with aggressive disease development. Microarray data derived from 126 (TRAMPxNOD/ShiLtJ F2 primary tumors were used to prioritize candidate genes within QTLs, with candidate genes deemed as being high priority when possessing both high levels of expression-trait correlation and a proximal expression QTL. This process enabled the identification of 35 aggressive prostate tumorigenesis candidate genes. The role of these genes in aggressive forms of human prostate cancer was investigated using two concurrent approaches. First, logistic regression analysis in two human prostate gene expression datasets revealed that expression levels of five genes (CXCL14, ITGAX, LPCAT2, RNASEH2A, and ZNF322 were positively correlated with aggressive prostate cancer and two genes (CCL19 and HIST1H1A were protective for aggressive prostate cancer. Higher than average levels of expression of the five genes that were positively correlated with aggressive disease were consistently associated with patient outcome in both human prostate cancer tumor gene expression datasets. Second, three of these five genes (CXCL14, ITGAX, and LPCAT2 harbored polymorphisms associated with aggressive disease development in a human GWAS cohort consisting of 1,172 prostate cancer patients. This study is the first example of using a systems genetics approach to successfully identify novel susceptibility genes for aggressive prostate cancer. Such

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

    Science.gov (United States)

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

    2013-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Fergus J Couch

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

  9. Ovarian cancer susceptibility alleles and risk of ovarian cancer in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    Ramus, S.J.; Antoniou, A.C.; Kuchenbaecker, K.B.; Soucy, P.; Beesley, J.; Chen, X.; McGuffog, L.; Sinilnikova, O.M.; Healey, S.; Barrowdale, D.; Lee, A.; Thomassen, M.; Gerdes, A.M.; Kruse, T.A.; Jensen, U.B.; Skytte, A.B.; Caligo, M.A.; Liljegren, A.; Lindblom, A.; Olsson, H.; Kristoffersson, U.; Stenmark-Askmalm, M.; Melin, B.; Swe, B.; Domchek, S.M.; Nathanson, K.L.; Rebbeck, T.R.; Jakubowska, A.; Lubinski, J.; Jaworska, K.; Durda, K.; Zlowocka, E.; Gronwald, J.; Huzarski, T.; Byrski, T.; Cybulski, C.; Toloczko-Grabarek, A.; Osorio, A.; Benitez, J.; Duran, M.; Tejada, M.I.; Hamann, U.; Rookus, M.; Leeuwen, F.E. van; Aalfs, C.M.; Meijers-Heijboer, H.E.; Asperen, C.J. van; Roozendaal, K.E. van; Hoogerbrugge-van der Linden, N.; Collee, J.M.; Kriege, M.; Luijt, R.B. van der; Hebon, .; Embrace, .; Peock, S.; Frost, D.; Ellis, S.D.; Platte, R.; Fineberg, E.; Evans, D.G.; Lalloo, F.; Jacobs, C.; Eeles, R.; Adlard, J.; Davidson, R.; Eccles, D.; Cole, T.; Cook, J.; Paterson, J.; Douglas, F.; Brewer, C.; Hodgson, S.; Morrison, P.J.; Walker, L.; Porteous, M.E.; Kennedy, M.J.; Pathak, H.; Godwin, A.K.; Stoppa-Lyonnet, D.; Caux-Moncoutier, V.; Pauw, A. de; Gauthier-Villars, M.; Mazoyer, S.; Leone, M.; Calender, A.; Lasset, C.; Bonadona, V.; Hardouin, A.; Berthet, P.; Bignon, Y.J.; Uhrhammer, N.; Faivre, L.; Loustalot, C.; Gemo, .; Buys, S.; Daly, M.; Miron, A.; Terry, M.B.; Chung, W.K.; John, E.M.; Ligtenberg, M.J.

    2012-01-01

    Germline mutations in BRCA1 and BRCA2 are associated with increased risks of breast and ovarian cancer. A genome-wide association study (GWAS) identified six alleles associated with risk of ovarian cancer for women in the general population. We evaluated four of these loci as potential modifiers of

  10. Ovarian cancer susceptibility alleles and risk of ovarian cancer in BRCA1 and BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Ramus, Susan J; Antoniou, Antonis C; Kuchenbaecker, Karoline B;

    2012-01-01

    Germline mutations in BRCA1 and BRCA2 are associated with increased risks of breast and ovarian cancer. A genome-wide association study (GWAS) identified six alleles associated with risk of ovarian cancer for women in the general population. We evaluated four of these loci as potential modifiers ...

  11. 19p13.1 is a triple-negative-specific breast cancer susceptibility locus

    DEFF Research Database (Denmark)

    Stevens, Kristen N; Fredericksen, Zachary; Vachon, Celine M;

    2012-01-01

    The 19p13.1 breast cancer susceptibility locus is a modifier of breast cancer risk in BRCA1 mutation carriers and is also associated with the risk of ovarian cancer. Here, we investigated 19p13.1 variation and risk of breast cancer subtypes, defined by estrogen receptor (ER), progesterone recepto...

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

    DEFF Research Database (Denmark)

    Sørensen, Per Soelberg

    2010-01-01

    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...... seems to be protective for celiac disease. Within the MPHOSPH9/CDK2AP1 locus, the risk allele correlates with diminished RNA expression of the cell cycle regulator CDK2AP1; this effect is seen in both lymphoblastic cell lines (P=1.18 x 10(-5)) and in peripheral blood mononuclear cells from subjects with...

  13. 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.

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

    Science.gov (United States)

    Cheng, Ching-Yu; Kao, W H Linda; Patterson, Nick; Tandon, Arti; Haiman, Christopher A; Harris, Tamara B; Xing, Chao; John, Esther M; Ambrosone, Christine B; Brancati, Frederick L; Coresh, Josef; Press, Michael F; Parekh, Rulan S; Klag, Michael J; Meoni, Lucy A; Hsueh, Wen-Chi; Fejerman, Laura; Pawlikowska, Ludmila; Freedman, Matthew L; Jandorf, Lina H; Bandera, Elisa V; Ciupak, Gregory L; Nalls, Michael A; Akylbekova, Ermeg L; Orwoll, Eric S; Leak, Tennille S; Miljkovic, Iva; Li, Rongling; Ursin, Giske; Bernstein, Leslie; Ardlie, Kristin; Taylor, Herman A; Boerwinckle, Eric; Zmuda, Joseph M; Henderson, Brian E; Wilson, James G; Reich, David

    2009-05-01

    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.

  15. Experience of parental cancer in childhood is a risk factor for psychological distress during genetic cancer susceptibility testing

    NARCIS (Netherlands)

    van Oostrom, I.; Meijers-Heijboer, H.; Duivenvoorden, H. J.; Brocker-Vriends, A. H. J. T.; van Asperen, C. J.; Sijmons, R. H.; Seynaeve, C.; Van Gool, A. R.; Klijn, J. G. M.; Tibben, A.

    2006-01-01

    Background: This study explores the effect of age at the time of parental cancer diagnosis or death on psychological distress and cancer risk perception in individuals undergoing genetic testing for a specific cancer susceptibility. Patients and methods: Cancer-related distress, worry and risk perce

  16. Identification of Novel Susceptibility Loci for Kawasaki Disease in a Han Chinese Population by a Genome-Wide Association Study

    OpenAIRE

    Tsai, Fuu-Jen; Lee, Yi-Ching; Chang, Jeng-Sheng; Huang, Li-Min; Huang, Fu-Yuan; Chiu, Nan-Chang; Chen, Ming-Ren; CHI, Hsin; Lee, Yann-Jinn; Chang, Li-Ching; Liu, Yi-Min; Wang, Hsiang-Hua; Chen, Chien-Hsiun; Chen, Yuan-Tsong; Wu, Jer-Yuarn

    2011-01-01

    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 Ch...

  17. Sequence divergence of Mus spretus and Mus musculus across a skin cancer susceptibility locus

    Directory of Open Access Journals (Sweden)

    Balmain Allan

    2008-12-01

    Full Text Available Abstract Background Mus spretus diverged from Mus musculus over one million years ago. These mice are genetically and phenotypically divergent. Despite the value of utilizing M. musculus and M. spretus for quantitative trait locus (QTL mapping, relatively little genomic information on M. spretus exists, and most of the available sequence and polymorphic data is for one strain of M. spretus, Spret/Ei. In previous work, we mapped fifteen loci for skin cancer susceptibility using four different M. spretus by M. musculus F1 backcrosses. One locus, skin tumor susceptibility 5 (Skts5 on chromosome 12, shows strong linkage in one cross. Results To identify potential candidate genes for Skts5, we sequenced 65 named and unnamed genes and coding elements mapping to the peak linkage area in outbred spretus, Spret/EiJ, FVB/NJ, and NIH/Ola. We identified polymorphisms in 62 of 65 genes including 122 amino acid substitutions. To look for polymorphisms consistent with the linkage data, we sequenced exons with amino acid polymorphisms in two additional M. spretus strains and one additional M. musculus strain generating 40.1 kb of sequence data. Eight candidate variants were identified that fit with the linkage data. To determine the degree of variation across M. spretus, we conducted phylogenetic analyses. The relatedness of the M. spretus strains at this locus is consistent with the proximity of region of ascertainment of the ancestral mice. Conclusion Our analyses suggest that, if Skts5 on chromosome 12 is representative of other regions in the genome, then published genomic data for Spret/EiJ are likely to be of high utility for genomic studies in other M. spretus strains.

  18. The Circadian Rhythm Gene Arntl2 Is a Metastasis Susceptibility Gene for Estrogen Receptor-Negative Breast Cancer

    Science.gov (United States)

    Ha, Ngoc-Han; Long, Jirong; Cai, Qiuyin; Shu, Xiao Ou

    2016-01-01

    Breast cancer mortality is primarily due to metastasis rather than primary tumors, yet relatively little is understood regarding the etiology of metastatic breast cancer. Previously, using a mouse genetics approach, we demonstrated that inherited germline polymorphisms contribute to metastatic disease, and that these single nucleotide polymorphisms (SNPs) could be used to predict outcome in breast cancer patients. In this study, a backcross between a highly metastatic (FVB/NJ) and low metastatic (MOLF/EiJ) mouse strain identified Arntl2, a gene encoding a circadian rhythm transcription factor, as a metastasis susceptibility gene associated with progression, specifically in estrogen receptor-negative breast cancer patients. Integrated whole genome sequence analysis with DNase hypersensitivity sites reveals SNPs in the predicted promoter of Arntl2. Using CRISPR/Cas9-mediated substitution of the MOLF promoter, we demonstrate that the SNPs regulate Arntl2 transcription and affect metastatic burden. Finally, analysis of SNPs associated with ARNTL2 expression in human breast cancer patients revealed reproducible associations of ARNTL2 expression quantitative trait loci (eQTL) SNPs with disease-free survival, consistent with the mouse studies. PMID:27656887

  19. The Circadian Rhythm Gene Arntl2 Is a Metastasis Susceptibility Gene for Estrogen Receptor-Negative Breast Cancer.

    Directory of Open Access Journals (Sweden)

    Ngoc-Han Ha

    2016-09-01

    Full Text Available Breast cancer mortality is primarily due to metastasis rather than primary tumors, yet relatively little is understood regarding the etiology of metastatic breast cancer. Previously, using a mouse genetics approach, we demonstrated that inherited germline polymorphisms contribute to metastatic disease, and that these single nucleotide polymorphisms (SNPs could be used to predict outcome in breast cancer patients. In this study, a backcross between a highly metastatic (FVB/NJ and low metastatic (MOLF/EiJ mouse strain identified Arntl2, a gene encoding a circadian rhythm transcription factor, as a metastasis susceptibility gene associated with progression, specifically in estrogen receptor-negative breast cancer patients. Integrated whole genome sequence analysis with DNase hypersensitivity sites reveals SNPs in the predicted promoter of Arntl2. Using CRISPR/Cas9-mediated substitution of the MOLF promoter, we demonstrate that the SNPs regulate Arntl2 transcription and affect metastatic burden. Finally, analysis of SNPs associated with ARNTL2 expression in human breast cancer patients revealed reproducible associations of ARNTL2 expression quantitative trait loci (eQTL SNPs with disease-free survival, consistent with the mouse studies.

  20. Caspase 9 promoter polymorphisms confer increased susceptibility to breast cancer.

    Science.gov (United States)

    Theodoropoulos, George E; Michalopoulos, Nikolaos V; Pantou, Malena P; Kontogianni, Panagiota; Gazouli, Maria; Karantanos, Theodoros; Lymperi, Maria; Zografos, George C

    2012-10-01

    Caspases (CASPs), play a crucial role in the development and progression of cancer. We evaluated the association between two polymorphisms (rs4645978 and rs4645981) of the CASP9 gene and the risk of breast cancer (BC). Genotypes and allelic frequencies for the two polymorphisms were determined in 261 patients with breast cancer and 480 healthy controls. Polymerase chain reaction-restriction fragment length polymorphisms were used, and statistical significance was determined by the χ(2) test. Carriers of the rs4645978G allele (AG and GG genotypes) were at higher risk for BC than individuals with other genotypes (odds ratio (OR) 1.59, 95% confidence interval (CI) 1.07-2.37, P = 0.022). The rs4645978GG genotype, in particular, was associated with the highest risk for BC development (OR 2.25, 95% CI 1.45-3.49, P = 0.0003). Similarly, individuals with at least one rs4645981T allele were at a significantly increased risk of developing BC compared with those harboring the CC genotype (OR 2.75, 95% CI 1.99-3.78, P < 0.0001), and the risk of BC increased with increasing numbers of rs4645981T alleles (OR 2.66, 95% CI 1.91-3.69, P < 0.0001 for the CT genotype; OR 3.95, 95% CI 1.58-9.88, P = 0.004 for the TT genotype). The CASP9 promoter polymorphisms rs4645978 and rs4645981 are associated with BC susceptibility and suggest that CASP9 transcriptional regulation is an important factor during BC development.

  1. Identification and characterization of locus specific methylation patterns within novel loci undergoing hypermethylation during breast cancer pathogenesis

    DEFF Research Database (Denmark)

    Wojdacz, Tomasz K; Windeløv, Johanne Agerlin; Thestrup, Britta B;

    2014-01-01

    for early cancer detection and stratification of patients. METHODS: We used ultra high-resolution microarrays to compare genome-wide methylation patterns of breast carcinomas (N = 20) and non-malignant breast tissue (N = 5). Biomarker properties of a subset of discovered differentially methylated regions...... of the screening results showed that all DMRs tested displayed significant gains of methylation in the cancer tissue when compared to the levels in control tissue. Interestingly, we have observed two types of locus specific methylation, with loci undergoing either predominantly full or heterogeneous methylation...... during carcinogenesis. At the same time almost all tested DMRs (17 out of 19) displayed low-level methylation in non-malignant breast tissue independent of locus specific methylation pattern in cases. CONCLUSIONS: Specific loci can undergo either heterogeneous or full methylation during carcinogenesis...

  2. Ovarian cancer susceptibility alleles and risk of ovarian cancer in BRCA1 and BRCA2 mutation carriers.

    Science.gov (United States)

    Ramus, Susan J; Antoniou, Antonis C; Kuchenbaecker, Karoline B; Soucy, Penny; Beesley, Jonathan; Chen, Xiaoqing; McGuffog, Lesley; Sinilnikova, Olga M; Healey, Sue; Barrowdale, Daniel; Lee, Andrew; Thomassen, Mads; Gerdes, Anne-Marie; Kruse, Torben A; Jensen, Uffe Birk; Skytte, Anne-Bine; Caligo, Maria A; Liljegren, Annelie; Lindblom, Annika; Olsson, Håkan; Kristoffersson, Ulf; Stenmark-Askmalm, Marie; Melin, Beatrice; Domchek, Susan M; Nathanson, Katherine L; Rebbeck, Timothy R; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Złowocka, Elżbieta; Gronwald, Jacek; Huzarski, Tomasz; Byrski, Tomasz; Cybulski, Cezary; Toloczko-Grabarek, Aleksandra; Osorio, Ana; Benitez, Javier; Duran, Mercedes; Tejada, Maria-Isabel; Hamann, Ute; Rookus, Matti; van Leeuwen, Flora E; Aalfs, Cora M; Meijers-Heijboer, Hanne E J; van Asperen, Christi J; van Roozendaal, K E P; Hoogerbrugge, Nicoline; Collée, J Margriet; Kriege, Mieke; van der Luijt, Rob B; Peock, Susan; Frost, Debra; Ellis, Steve D; Platte, Radka; Fineberg, Elena; Evans, D Gareth; Lalloo, Fiona; Jacobs, Chris; Eeles, Ros; Adlard, Julian; Davidson, Rosemarie; Eccles, Diana; Cole, Trevor; Cook, Jackie; Paterson, Joan; Douglas, Fiona; Brewer, Carole; Hodgson, Shirley; Morrison, Patrick J; Walker, Lisa; Porteous, Mary E; Kennedy, M John; Pathak, Harsh; Godwin, Andrew K; Stoppa-Lyonnet, Dominique; Caux-Moncoutier, Virginie; de Pauw, Antoine; Gauthier-Villars, Marion; Mazoyer, Sylvie; Léoné, Mélanie; Calender, Alain; Lasset, Christine; Bonadona, Valérie; Hardouin, Agnès; Berthet, Pascaline; Bignon, Yves-Jean; Uhrhammer, Nancy; Faivre, Laurence; Loustalot, Catherine; Buys, Saundra; Daly, Mary; Miron, Alex; Terry, Mary Beth; Chung, Wendy K; John, Esther M; Southey, Melissa; Goldgar, David; Singer, Christian F; Tea, Muy-Kheng; Pfeiler, Georg; Fink-Retter, Anneliese; Hansen, Thomas v O; Ejlertsen, Bent; Johannsson, Oskar Th; Offit, Kenneth; Kirchhoff, Tomas; Gaudet, Mia M; Vijai, Joseph; Robson, Mark; Piedmonte, Marion; Phillips, Kelly-Anne; Van Le, Linda; Hoffman, James S; Ewart Toland, Amanda; Montagna, Marco; Tognazzo, Silvia; Imyanitov, Evgeny; Issacs, Claudine; Janavicius, Ramunas; Lazaro, Conxi; Blanco, Iganacio; Tornero, Eva; Navarro, Matilde; Moysich, Kirsten B; Karlan, Beth Y; Gross, Jenny; Olah, Edith; Vaszko, Tibor; Teo, Soo-Hwang; Ganz, Patricia A; Beattie, Mary S; Dorfling, Cecelia M; van Rensburg, Elizabeth J; Diez, Orland; Kwong, Ava; Schmutzler, Rita K; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Heidemann, Simone; Niederacher, Dieter; Preisler-Adams, Sabine; Gadzicki, Dorotehea; Varon-Mateeva, Raymonda; Deissler, Helmut; Gehrig, Andrea; Sutter, Christian; Kast, Karin; Fiebig, Britta; Schäfer, Dieter; Caldes, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Aittomäki, Kristiina; Plante, Marie; Spurdle, Amanda B; Neuhausen, Susan L; Ding, Yuan Chun; Wang, Xianshu; Lindor, Noralane; Fredericksen, Zachary; Pankratz, V Shane; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Bonanni, Bernardo; Bernard, Loris; Dolcetti, Riccardo; Papi, Laura; Ottini, Laura; Radice, Paolo; Greene, Mark H; Mai, Phuong L; Andrulis, Irene L; Glendon, Gord; Ozcelik, Hilmi; Pharoah, Paul D P; Gayther, Simon A; Simard, Jacques; Easton, Douglas F; Couch, Fergus J; Chenevix-Trench, Georgia

    2012-04-01

    Germline mutations in BRCA1 and BRCA2 are associated with increased risks of breast and ovarian cancer. A genome-wide association study (GWAS) identified six alleles associated with risk of ovarian cancer for women in the general population. We evaluated four of these loci as potential modifiers of ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Four single-nucleotide polymorphisms (SNPs), rs10088218 (at 8q24), rs2665390 (at 3q25), rs717852 (at 2q31), and rs9303542 (at 17q21), were genotyped in 12,599 BRCA1 and 7,132 BRCA2 carriers, including 2,678 ovarian cancer cases. Associations were evaluated within a retrospective cohort approach. All four loci were associated with ovarian cancer risk in BRCA2 carriers; rs10088218 per-allele hazard ratio (HR) = 0.81 (95% CI: 0.67-0.98) P-trend = 0.033, rs2665390 HR = 1.48 (95% CI: 1.21-1.83) P-trend = 1.8 × 10(-4), rs717852 HR = 1.25 (95% CI: 1.10-1.42) P-trend = 6.6 × 10(-4), rs9303542 HR = 1.16 (95% CI: 1.02-1.33) P-trend = 0.026. Two loci were associated with ovarian cancer risk in BRCA1 carriers; rs10088218 per-allele HR = 0.89 (95% CI: 0.81-0.99) P-trend = 0.029, rs2665390 HR = 1.25 (95% CI: 1.10-1.42) P-trend = 6.1 × 10(-4). The HR estimates for the remaining loci were consistent with odds ratio estimates for the general population. The identification of multiple loci modifying ovarian cancer risk may be useful for counseling women with BRCA1 and BRCA2 mutations regarding their risk of ovarian cancer.

  3. Association of cancer stem cell markers genetic variants with gallbladder cancer susceptibility, prognosis, and survival.

    Science.gov (United States)

    Yadav, Anu; Gupta, Annapurna; Rastogi, Neeraj; Agrawal, Sushma; Kumar, Ashok; Kumar, Vijay; Mittal, Balraj

    2016-02-01

    Genes important to stem cell progression have been involved in the genetics and clinical outcome of cancers. We investigated germ line variants in cancer stem cell (CSC) genes to predict susceptibility and efficacy of chemoradiotherapy treatment in gallbladder cancer (GBC) patients. In this study, we assessed the effect of SNPs in CSC genes (surface markers CD44, ALCAM, EpCAM, CD133) and (molecular markers NANOG, SOX-2, LIN-28A, ALDH1A1, OCT-4) with GBC susceptibility and prognosis. Total 610 GBC patients and 250 controls were genotyped by using PCR-RFLP, ARMS-PCR, and TaqMan allelic discrimination assays. Chemotoxicity graded 2-4 in 200 patients and tumor response was recorded in 140 patients undergoing neoadjuvant chemotherapy (NACT). Differences in genotype and haplotype frequency distributions were calculated by binary logistic regression. Gene-gene interaction model was analyzed by generalized multifactor dimensionality reduction (GMDR). Overall survival was assessed by Kaplan-Meier survival curve and multivariate Cox-proportional methods. ALCAM Ars1157Crs10511244 (P = 0.0035) haplotype was significantly associated with GBC susceptibility. In GMDR analysis, ALCAM rs1157G>A, EpCAM rs1126497T>C emerged as best significant interaction model with GBC susceptibility and ALDH1A1 rs13959T>G with increased risk of grade 3-4 hematological toxicity. SOX-2 rs11915160A>C, OCT-4 rs3130932T>G, and NANOG rs11055786T>C were found best gene-gene interaction model for predicting response to NACT. In both Cox-proportional and recursive partitioning ALCAM rs1157GA+AA genotype showed higher mortality and hazard ratio. ALCAM gene polymorphisms associated with GBC susceptibility and survival while OCT-4, SOX-2, and NANOG variants showed an interactive role with treatment response. PMID:26318430

  4. Allelic sequence variation of the HLA-DQ loci: relationship to serology and to insulin-dependent diabetes susceptibility.

    Science.gov (United States)

    Horn, G T; Bugawan, T L; Long, C M; Erlich, H A

    1988-01-01

    Analysis of sequence variation in the polymorphic second exon of the major histocompatibility complex genes HLA-DQ alpha and -DQ beta has revealed 8 allelic variants at the alpha locus and 13 variants at the beta locus. Correlation of sequence variation with serologic typing suggests that the DQw2, DQw3, and DQ(blank) types are determined by the DQ beta subunit, while the DQw1 specificity is determined by DQ alpha. The nature of the amino acid at position 57 in the DQ beta subunit is correlated with susceptibility to insulin-dependent diabetes mellitus. This region of the DQ beta chain contains shared peptides with Epstein-Barr virus and rubella virus. PMID:2842756

  5. Methylenetetrahydrofolate Reductase Genotypes, Dietary Habits and Susceptibility to Stomach Cancer

    Institute of Scientific and Technical Information of China (English)

    ChangmingGao; TakezakiToshiro; JianzhongWu; JianhuoDing; YantingLiu; SupingLi; PingSu; XuHu; TianliongXu; HamajimaNobuyuki; TajimaKazuo

    2004-01-01

    OBJECTIVE To study the relation among methylenetetrahydrofolate reductase (MTHFR) C677T genotypes, dietary habits and the risk of stomach cancer (SC).METHODS A case-control study was conducted with 107 cases of SC and 200 population-based controls in Chuzhou district, Huaian, Jiangsu province, China. The epidemiological data were collected, and DNA of peripheral blood leukocytes was obtained from all of the subjects..MTHFR genotypes were detected by PCR-RFLP. RESULTS (1) The prevalence of the MTHFR C/T or T/T genotypes was found to be significantly different between controls (68.5%) and SC cases (79.4%,P=0.0416), the increased risk had an adjusted OR of 1.79 (95%C1:1.01-3.19). (2) Among subjects who had a low intake of garlic or Chinese onion, MTHFR C/T or T/T genotypes significantly increased the risk of developing SC. Among non-tea drinkers or among subjects who had a frequent intakeof meat, the carriers of the MTHFR C/T or T/T genotypes had a higher risk of SC than individuals with the C/C type MTHFR. CONCLUSION The polymorphism of MTHFR C677T was associated with increased risk of developing SC, and that individuals with differing genotypes may have different susceptibilities to SC, based on their exposure level to environmental factors.

  6. Low-risk susceptibility alleles in 40 human breast cancer cell lines

    NARCIS (Netherlands)

    M. Riaz (Muhammad); F. Elstrodt (Fons); A. Hollestelle (Antoinette); A. Dehghan (Abbas); J.G.M. Klijn (Jan); M. Schutte (Mieke)

    2009-01-01

    textabstractBackground: Low-risk breast cancer susceptibility alleles or SNPs confer only modest breast cancer risks ranging from just over 1.0 to 1.3 fold. Yet, they are common among most populations and therefore are involved in the development of essentially all breast cancers. The mechanism by w

  7. A genome-wide association study identifies a novel susceptibility locus for renal cell carcinoma on 12p11.23

    NARCIS (Netherlands)

    Wu, Xifeng; Scelo, Ghislaine; Purdue, Mark P.; Rothman, Nathaniel; Johansson, Mattias; Ye, Yuanqing; Wang, Zhaoming; Zelenika, Diana; Moore, Lee E.; Wood, Christopher G.; Prokhortchouk, Egor; Gaborieau, Valerie; Jacobs, Kevin B.; Chow, Wong-Ho; Toro, Jorge R.; Zaridze, David; Lin, Jie; Lubinski, Jan; Trubicka, Joanna; Szeszenia-Dabrowska, Neonilia; Lissowska, Jolanta; Rudnai, Peter; Fabianova, Eleonora; Mates, Dana; Jinga, Viorel; Bencko, Vladimir; Slamova, Alena; Holcatova, Ivana; Navratilova, Marie; 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.; Ramon Quiros, Jose; 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; Stevens, Victoria L.; Thun, Michael J.; Diver, W. Ryan; Gapstur, Susan M.; Pharoah, Paul D.; Easton, Douglas F.; Albanes, Demetrius; Virtamo, Jarmo; Vatten, Lars; Hveem, Kristian; Fletcher, Tony; Koppova, Kvetoslava; Cussenot, Olivier; Cancel-Tassin, Geraldine; Benhamou, Simone; Hildebrandt, Michelle A.; Pu, Xia; Foglio, Mario; Lechner, Doris; Hutchinson, Amy; Yeager, Meredith; Fraumeni, Joseph F.; Lathrop, Mark; Skryabin, Konstantin G.; McKay, James D.; Gu, Jian; Brennan, Paul; Chanock, Stephen J.

    2012-01-01

    Renal cell carcinoma (RCC) is the most lethal urologic cancer. Only two common susceptibility loci for RCC have been confirmed to date. To identify additional RCC common susceptibility loci, we conducted an independent genome- wide association study (GWAS). We analyzed 533 191 single nucleotide poly

  8. Murine lupus susceptibility locus Sle1a requires the expression of two sub-loci to induce inflammatory T cells.

    Science.gov (United States)

    Cuda, C M; Zeumer, L; Sobel, E S; Croker, B P; Morel, L

    2010-10-01

    The NZM2410-derived Sle1a lupus susceptibility locus induces activated autoreactive CD4(+) T cells and reduces the number and function of Foxp3(+) regulatory T cells (Tregs). In this study, we first showed that Sle1a contributes to autoimmunity by increasing antinuclear antibody production when expressed on either NZB or NZW heterozygous genomes, and by enhancing the chronic graft versus host disease response indicating an expansion of the autoreactive B-cell pool. Screening two non-overlapping recombinants, the Sle1a.1 and Sle1a.2 intervals that cover the entire Sle1a locus, revealed that both Sle1a.1 and Sle1a.2 were necessary for the full Sle1a phenotype. Sle1a.1, and to a lesser extent Sle1a.2, significantly affected CD4(+) T-cell activation as well as Treg differentiation and function. Sle1a.2 also increased the production of autoreactive B cells. As the Sle1a.1 and Sle1a.2 intervals contain only 1 and 15 known genes, respectively, this study considerably reduces the number of candidate genes responsible for the production of autoreactive T cells. These results also show that the Sle1 locus is an excellent model for the genetic architecture of lupus, in which a major obligate phenotype results from the coexpression of multiple genetic variants with individual weak effects.

  9. European genome-wide association study identifies SLC14A1 as a new urinary bladder cancer susceptibility gene.

    Science.gov (United States)

    Rafnar, Thorunn; Vermeulen, Sita H; Sulem, Patrick; Thorleifsson, Gudmar; Aben, Katja K; Witjes, J Alfred; Grotenhuis, Anne J; Verhaegh, Gerald W; Hulsbergen-van de Kaa, Christina A; Besenbacher, Soren; Gudbjartsson, Daniel; Stacey, Simon N; Gudmundsson, Julius; Johannsdottir, Hrefna; Bjarnason, Hjordis; Zanon, Carlo; Helgadottir, Hafdis; Jonasson, Jon Gunnlaugur; Tryggvadottir, Laufey; Jonsson, Eirikur; Geirsson, Gudmundur; Nikulasson, Sigfus; Petursdottir, Vigdis; Bishop, D Timothy; Chung-Sak, Sei; Choudhury, Ananya; Elliott, Faye; Barrett, Jennifer H; Knowles, Margaret A; de Verdier, Petra J; Ryk, Charlotta; Lindblom, Annika; Rudnai, Peter; Gurzau, Eugene; Koppova, Kvetoslava; Vineis, Paolo; Polidoro, Silvia; Guarrera, Simonetta; Sacerdote, Carlotta; Panadero, Angeles; Sanz-Velez, José I; Sanchez, Manuel; Valdivia, Gabriel; Garcia-Prats, Maria D; Hengstler, Jan G; Selinski, Silvia; Gerullis, Holger; Ovsiannikov, Daniel; Khezri, Abdolaziz; Aminsharifi, Alireza; Malekzadeh, Mahyar; van den Berg, Leonard H; Ophoff, Roel A; Veldink, Jan H; Zeegers, Maurice P; Kellen, Eliane; Fostinelli, Jacopo; Andreoli, Daniele; Arici, Cecilia; Porru, Stefano; Buntinx, Frank; Ghaderi, Abbas; Golka, Klaus; Mayordomo, José I; Matullo, Giuseppe; Kumar, Rajiv; Steineck, Gunnar; Kiltie, Anne E; Kong, Augustine; Thorsteinsdottir, Unnur; Stefansson, Kari; Kiemeney, Lambertus A

    2011-11-01

    Three genome-wide association studies in Europe and the USA have reported eight urinary bladder cancer (UBC) susceptibility loci. Using extended case and control series and 1000 Genomes imputations of 5 340 737 single-nucleotide polymorphisms (SNPs), we searched for additional loci in the European GWAS. The discovery sample set consisted of 1631 cases and 3822 controls from the Netherlands and 603 cases and 37 781 controls from Iceland. For follow-up, we used 3790 cases and 7507 controls from 13 sample sets of European and Iranian ancestry. Based on the discovery analysis, we followed up signals in the urea transporter (UT) gene SLC14A. The strongest signal at this locus was represented by a SNP in intron 3, rs17674580, that reached genome-wide significance in the overall analysis of the discovery and follow-up groups: odds ratio = 1.17, P = 7.6 × 10(-11). SLC14A1 codes for UTs that define the Kidd blood group and are crucial for the maintenance of a constant urea concentration gradient in the renal medulla and, through this, the kidney's ability to concentrate urine. It is speculated that rs17674580, or other sequence variants in LD with it, indirectly modifies UBC risk by affecting urine production. If confirmed, this would support the 'urogenous contact hypothesis' that urine production and voiding frequency modify the risk of UBC.

  10. CFH, C3 and ARMS2 are significant risk loci for susceptibility but not for disease progression of geographic atrophy due to AMD.

    Directory of Open Access Journals (Sweden)

    Hendrik P N Scholl

    Full Text Available BACKGROUND: Age-related macular degeneration (AMD is a prevalent cause of blindness in Western societies. Variants in the genes encoding complement factor H (CFH, complement component 3 (C3 and age-related maculopathy susceptibility 2 (ARMS2 have repeatedly been shown to confer significant risks for AMD; however, their role in disease progression and thus their potential relevance for interventional therapeutic approaches remains unknown. METHODOLOGY/PRINCIPAL FINDINGS: Here, we analyzed association between variants in CFH, C3 and ARMS2 and disease progression of geographic atrophy (GA due to AMD. A quantitative phenotype of disease progression was computed based on longitudinal observations by fundus autofluorescence imaging. In a subset of 99 cases with pure bilateral GA, variants in CFH (Y402H, C3 (R102G, and ARMS2 (A69S are associated with disease (P = 1.6x10(-9, 3.2x10(-3, and P = 2.6x10(-12, respectively when compared to 612 unrelated healthy control individuals. In cases, median progression rate of GA over a mean follow-up period of 3.0 years was 1.61 mm(2/year with high concordance between fellow eyes. No association between the progression rate and any of the genetic risk variants at the three loci was observed (P>0.13. CONCLUSIONS/SIGNIFICANCE: This study confirms that variants at CFH, C3, and ARMS2 confer significant risks for GA due to AMD. In contrast, our data indicate no association of these variants with disease progression which may have important implications for future treatment strategies. Other, as yet unknown susceptibilities may influence disease progression.

  11. Identification of a breast cancer susceptibility locus at 4q31.22 using a genome-wide association study paradigm.

    Directory of Open Access Journals (Sweden)

    Yadav Sapkota

    Full Text Available More than 40 single nucleotide polymorphisms (SNPs for breast cancer susceptibility were identified by genome-wide association studies (GWASs. However, additional SNPs likely contribute to breast cancer susceptibility and overall genetic risk, prompting this investigation for additional variants. Six putative breast cancer susceptibility SNPs identified in a two-stage GWAS that we reported earlier were replicated in a follow-up stage 3 study using an independent set of breast cancer cases and controls from Canada, with an overall cumulative sample size of 7,219 subjects across all three stages. The study design also encompassed the 11 variants from GWASs previously reported by various consortia between the years 2007-2009 to (i enable comparisons of effect sizes, and (ii identify putative prognostic variants across studies. All SNP associations reported with breast cancer were also adjusted for body mass index (BMI. We report a strong association with 4q31.22-rs1429142 (combined per allele odds ratio and 95% confidence interval = 1.28 [1.17-1.41] and P combined = 1.5×10(-7, when adjusted for BMI. Ten of the 11 breast cancer susceptibility loci reported by consortia also showed associations in our predominantly Caucasian study population, and the associations were independent of BMI; four FGFR2 SNPs and TNRC9-rs3803662 were among the most notable associations. Since the original report by Garcia-Closas et al. 2008, this is the second study to confirm the association of 8q24.21-rs13281615 with breast cancer outcomes.

  12. Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers.

    Directory of Open Access Journals (Sweden)

    Gordan Lauc

    Full Text Available Glycosylation of immunoglobulin G (IgG influences IgG effector function by modulating binding to Fc receptors. To identify genetic loci associated with IgG glycosylation, we quantitated N-linked IgG glycans using two approaches. After isolating IgG from human plasma, we performed 77 quantitative measurements of N-glycosylation using ultra-performance liquid chromatography (UPLC in 2,247 individuals from four European discovery populations. In parallel, we measured IgG N-glycans using MALDI-TOF mass spectrometry (MS in a replication cohort of 1,848 Europeans. Meta-analysis of genome-wide association study (GWAS results identified 9 genome-wide significant loci (P<2.27 × 10(-9 in the discovery analysis and two of the same loci (B4GALT1 and MGAT3 in the replication cohort. Four loci contained genes encoding glycosyltransferases (ST6GAL1, B4GALT1, FUT8, and MGAT3, while the remaining 5 contained genes that have not been previously implicated in protein glycosylation (IKZF1, IL6ST-ANKRD55, ABCF2-SMARCD3, SUV420H1, and SMARCB1-DERL3. However, most of them have been strongly associated with autoimmune and inflammatory conditions (e.g., systemic lupus erythematosus, rheumatoid arthritis, ulcerative colitis, Crohn's disease, diabetes type 1, multiple sclerosis, Graves' disease, celiac disease, nodular sclerosis and/or haematological cancers (acute lymphoblastic leukaemia, Hodgkin lymphoma, and multiple myeloma. Follow-up functional experiments in haplodeficient Ikzf1 knock-out mice showed the same general pattern of changes in IgG glycosylation as identified in the meta-analysis. As IKZF1 was associated with multiple IgG N-glycan traits, we explored biomarker potential of affected N-glycans in 101 cases with SLE and 183 matched controls and demonstrated substantial discriminative power in a ROC-curve analysis (area under the curve = 0.842. Our study shows that it is possible to identify new loci that control glycosylation of a single plasma protein

  13. Genome-wide association study identifies novel restless legs syndrome susceptibility loci on 2p14 and 16q12.1.

    Science.gov (United States)

    Winkelmann, Juliane; Czamara, Darina; Schormair, Barbara; Knauf, Franziska; Schulte, Eva C; Trenkwalder, Claudia; Dauvilliers, Yves; Polo, Olli; Högl, Birgit; Berger, Klaus; Fuhs, Andrea; Gross, Nadine; Stiasny-Kolster, Karin; Oertel, Wolfgang; Bachmann, Cornelius G; Paulus, Walter; Xiong, Lan; Montplaisir, Jacques; Rouleau, Guy A; Fietze, Ingo; Vávrová, Jana; Kemlink, David; Sonka, Karel; Nevsimalova, Sona; Lin, Siong-Chi; Wszolek, Zbigniew; Vilariño-Güell, Carles; Farrer, Matthew J; Gschliesser, Viola; Frauscher, Birgit; Falkenstetter, Tina; Poewe, Werner; Allen, Richard P; Earley, Christopher J; Ondo, William G; Le, Wei-Dong; Spieler, Derek; Kaffe, Maria; Zimprich, Alexander; Kettunen, Johannes; Perola, Markus; Silander, Kaisa; Cournu-Rebeix, Isabelle; Francavilla, Marcella; Fontenille, Claire; Fontaine, Bertrand; Vodicka, Pavel; Prokisch, Holger; Lichtner, Peter; Peppard, Paul; Faraco, Juliette; Mignot, Emmanuel; Gieger, Christian; Illig, Thomas; Wichmann, H-Erich; Müller-Myhsok, Bertram; Meitinger, Thomas

    2011-07-01

    Restless legs syndrome (RLS) is a sensorimotor disorder with an age-dependent prevalence of up to 10% in the general population above 65 years of age. Affected individuals suffer from uncomfortable sensations and an urge to move in the lower limbs that occurs mainly in resting situations during the evening or at night. Moving the legs or walking leads to an improvement of symptoms. Concomitantly, patients report sleep disturbances with consequences such as reduced daytime functioning. We conducted a genome-wide association study (GWA) for RLS in 922 cases and 1,526 controls (using 301,406 SNPs) followed by a replication of 76 candidate SNPs in 3,935 cases and 5,754 controls, all of European ancestry. Herein, we identified six RLS susceptibility loci of genome-wide significance, two of them novel: an intergenic region on chromosome 2p14 (rs6747972, P = 9.03 × 10(-11), OR = 1.23) and a locus on 16q12.1 (rs3104767, P = 9.4 × 10(-19), OR = 1.35) in a linkage disequilibrium block of 140 kb containing the 5'-end of TOX3 and the adjacent non-coding RNA BC034767. PMID:21779176

  14. Genome-wide association study identifies novel restless legs syndrome susceptibility loci on 2p14 and 16q12.1.

    Directory of Open Access Journals (Sweden)

    Juliane Winkelmann

    2011-07-01

    Full Text Available Restless legs syndrome (RLS is a sensorimotor disorder with an age-dependent prevalence of up to 10% in the general population above 65 years of age. Affected individuals suffer from uncomfortable sensations and an urge to move in the lower limbs that occurs mainly in resting situations during the evening or at night. Moving the legs or walking leads to an improvement of symptoms. Concomitantly, patients report sleep disturbances with consequences such as reduced daytime functioning. We conducted a genome-wide association study (GWA for RLS in 922 cases and 1,526 controls (using 301,406 SNPs followed by a replication of 76 candidate SNPs in 3,935 cases and 5,754 controls, all of European ancestry. Herein, we identified six RLS susceptibility loci of genome-wide significance, two of them novel: an intergenic region on chromosome 2p14 (rs6747972, P = 9.03 × 10(-11, OR = 1.23 and a locus on 16q12.1 (rs3104767, P = 9.4 × 10(-19, OR = 1.35 in a linkage disequilibrium block of 140 kb containing the 5'-end of TOX3 and the adjacent non-coding RNA BC034767.

  15. Lung cancer susceptibility model based on age, family history and genetic variants.

    Directory of Open Access Journals (Sweden)

    Robert P Young

    Full Text Available BACKGROUND: Epidemiological and pedigree studies suggest that lung cancer results from the combined effects of age, smoking, impaired lung function and genetic factors. In a case control association study of healthy smokers and lung cancer cases, we identified genetic markers associated with either susceptibility or protection to lung cancer. METHODOLOGY/PRINCIPAL FINDINGS: We screened 157 candidate single nucleotide polymorphisms (SNP in a discovery cohort of 439 subjects (200 controls and 239 lung cancer cases and identified 30 SNPs associated with either the healthy smokers (protective or lung cancer (susceptibility phenotype. After genotyping this 30 SNP panel in a validation cohort of 491 subjects (248 controls and 207 lung cancers and, using the same protective and susceptibility genotypes from our discovery cohort, a 20 SNP panel was selected based on replication of SNP associations in the validation cohort. Following multivariate logistic regression analyses, including the selected SNPs from runs 1 and 2, we found age and family history of lung cancer to be significantly and independently associated with lung cancer. Numeric scores were assigned to both the SNP and demographic data, and combined to form a simple algorithm of risk. CONCLUSIONS/SIGNIFICANCE: Significant differences in the distribution of the lung cancer susceptibility score was found between normal controls and lung cancer cases, which remained after accounting for differences in lung function. Validation in other case-control and prospective cohorts are underway to further define the potential clinical utility of this model.

  16. Association of DNA repair gene XRCC1 and lung cancer susceptibility among nonsmoking Chinese women

    DEFF Research Database (Denmark)

    Yin, J.; Vogel, Ulla Birgitte; Ma, Y.;

    2009-01-01

    predisposition to cancer risk. To address this question in more detail, we conducted a hospital-based case-control study consisting of 55 lung cancer cases and 74 cancer-free controls matched on age and ethnicity among nonsmoking Chinese women. We analyzed five coding single-nucleotide polymorphisms in the XRCC1...... the haplotype encompassing the variant alleles may contribute to susceptibility of lung cancer in a Chinese population....

  17. ABRAXAS (FAM175A) and Breast Cancer Susceptibility: No Evidence of Association in the Breast Cancer Family Registry

    OpenAIRE

    Anne-Laure Renault; Fabienne Lesueur; Yan Coulombe; Stéphane Gobeil; Penny Soucy; Yosr Hamdi; Sylvie Desjardins; Florence Le Calvez-Kelm; Maxime Vallée; Catherine Voegele; Hopper, John L.; Andrulis, Irene L.; Southey, Melissa C.; John, Esther M.; Jean-Yves Masson

    2016-01-01

    Approximately half of the familial aggregation of breast cancer remains unexplained. This proportion is less for early-onset disease where familial aggregation is greater, suggesting that other susceptibility genes remain to be discovered. The majority of known breast cancer susceptibility genes are involved in the DNA double-strand break repair pathway. ABRAXAS is involved in this pathway and mutations in this gene impair BRCA1 recruitment to DNA damage foci and increase cell sensitivity to ...

  18. Family Matters: Adjustment to genetic cancer susceptibility testing

    NARCIS (Netherlands)

    I.I.H. van Oostrom (Iris)

    2006-01-01

    textabstractCancer is generally feared because it is associated with death and severe physical suffering. It is one of the most common causes of death in the Netherlands. Breast and colon cancer are the most prevalent types of cancer among women. Frequently occurring types in men are cancer of colon

  19. Genetic basis of interindividual susceptibility to cancer cachexia: selection of potential candidate gene polymorphisms for association studies

    Indian Academy of Sciences (India)

    N. Johns; B. H. Tan; M. Macmillan; T. S. Solheim; J. A. Ross; V. E. Baracos; S. Damaraju; K. C. H. Fearon

    2014-12-01

    Cancer cachexia is a complex and multifactorial disease. Evolving definitions highlight the fact that a diverse range of biological processes contribute to cancer cachexia. Part of the variation in who will and who will not develop cancer cachexia may be genetically determined. As new definitions, classifications and biological targets continue to evolve, there is a need for reappraisal of the literature for future candidate association studies. This review summarizes genes identified or implicated as well as putative candidate genes contributing to cachexia, identified through diverse technology platforms and model systems to further guide association studies. A systematic search covering 1986–2012 was performed for potential candidate genes / genetic polymorphisms relating to cancer cachexia. All candidate genes were reviewed for functional polymorphisms or clinically significant polymorphisms associated with cachexia using the OMIM and GeneRIF databases. Pathway analysis software was used to reveal possible network associations between genes. Functionality of SNPs/genes was explored based on published literature, algorithms for detecting putative deleterious SNPs and interrogating the database for expression of quantitative trait loci (eQTLs). A total of 154 genes associated with cancer cachexia were identified and explored for functional polymorphisms. Of these 154 genes, 119 had a combined total of 281 polymorphisms with functional and/or clinical significance in terms of cachexia associated with them. Of these, 80 polymorphisms (in 51 genes) were replicated in more than one study with 24 polymorphisms found to influence two or more hallmarks of cachexia (i.e., inflammation, loss of fat mass and/or lean mass and reduced survival). Selection of candidate genes and polymorphisms is a key element of multigene study design. The present study provides a contemporary basis to select genes and/or polymorphisms for further association studies in cancer cachexia, and

  20. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer

    Science.gov (United States)

    Lawrenson, Kate; Li, Qiyuan; Kar, Siddhartha; Seo, Ji-Heui; Tyrer, Jonathan; Spindler, Tassja J.; Lee, Janet; Chen, Yibu; Karst, Alison; Drapkin, Ronny; Aben, Katja K. H.; Anton-Culver, Hoda; Antonenkova, Natalia; Bowtell, David; Webb, Penelope M.; deFazio, Anna; Baker, Helen; Bandera, Elisa V.; Bean, Yukie; Beckmann, Matthias W.; Berchuck, Andrew; Bisogna, Maria; Bjorge, Line; Bogdanova, Natalia; Brinton, Louise A.; Brooks-Wilson, Angela; Bruinsma, Fiona; Butzow, Ralf; Campbell, Ian G.; Carty, Karen; Chang-Claude, Jenny; Chenevix-Trench, Georgia; Chen, Anne; Chen, Zhihua; Cook, Linda S.; Cramer, Daniel W.; Cunningham, Julie M.; Cybulski, Cezary; Dansonka-Mieszkowska, Agnieszka; Dennis, Joe; Dicks, Ed; Doherty, Jennifer A.; Dörk, Thilo; du Bois, Andreas; Dürst, Matthias; Eccles, Diana; Easton, Douglas T.; Edwards, Robert P.; Eilber, Ursula; Ekici, Arif B.; Fasching, Peter A.; Fridley, Brooke L.; Gao, Yu-Tang; Gentry-Maharaj, Aleksandra; Giles, Graham G.; Glasspool, Rosalind; Goode, Ellen L.; Goodman, Marc T.; Grownwald, Jacek; Harrington, Patricia; Harter, Philipp; Hasmad, Hanis Nazihah; Hein, Alexander; Heitz, Florian; Hildebrandt, Michelle A. T.; Hillemanns, Peter; Hogdall, Estrid; Hogdall, Claus; Hosono, Satoyo; Iversen, Edwin S.; Jakubowska, Anna; James, Paul; Jensen, Allan; Ji, Bu-Tian; Karlan, Beth Y.; Kruger Kjaer, Susanne; Kelemen, Linda E.; Kellar, Melissa; Kelley, Joseph L.; Kiemeney, Lambertus A.; Krakstad, Camilla; Kupryjanczyk, Jolanta; Lambrechts, Diether; Lambrechts, Sandrina; Le, Nhu D.; Lee, Alice W.; Lele, Shashi; Leminen, Arto; Lester, Jenny; Levine, Douglas A.; Liang, Dong; Lissowska, Jolanta; Lu, Karen; Lubinski, Jan; Lundvall, Lene; Massuger, Leon F. A. G.; Matsuo, Keitaro; McGuire, Valerie; McLaughlin, John R.; Nevanlinna, Heli; McNeish, Ian; Menon, Usha; Modugno, Francesmary; Moysich, Kirsten B.; Narod, Steven A.; Nedergaard, Lotte; Ness, Roberta B.; Azmi, Mat Adenan Noor; Odunsi, Kunle; Olson, Sara H.; Orlow, Irene; Orsulic, Sandra; Weber, Rachel Palmieri; Pearce, Celeste L.; Pejovic, Tanja; Pelttari, Liisa M.; Permuth-Wey, Jennifer; Phelan, Catherine M.; Pike, Malcolm C.; Poole, Elizabeth M.; Ramus, Susan J.; Risch, Harvey A.; Rosen, Barry; Rossing, Mary Anne; Rothstein, Joseph H.; Rudolph, Anja; Runnebaum, Ingo B.; Rzepecka, Iwona K.; Salvesen, Helga B.; Schildkraut, Joellen M.; Schwaab, Ira; Sellers, Thomas A.; Shu, Xiao-Ou; Shvetsov, Yurii B.; Siddiqui, Nadeem; Sieh, Weiva; Song, Honglin; Southey, Melissa C.; Sucheston, Lara; Tangen, Ingvild L.; Teo, Soo-Hwang; Terry, Kathryn L.; Thompson, Pamela J.; Timorek, Agnieszka; Tsai, Ya-Yu; Tworoger, Shelley S.; van Altena, Anne M.; Van Nieuwenhuysen, Els; Vergote, Ignace; Vierkant, Robert A.; Wang-Gohrke, Shan; Walsh, Christine; Wentzensen, Nicolas; Whittemore, Alice S.; Wicklund, Kristine G.; Wilkens, Lynne R.; Woo, Yin-Ling; Wu, Xifeng; Wu, Anna H.; Yang, Hannah; Zheng, Wei; Ziogas, Argyrios; Monteiro, Alvaro; Pharoah, Paul D.; Gayther, Simon A.; Freedman, Matthew L.

    2015-01-01

    Genome-wide association studies have reported 11 regions conferring risk of high-grade serous epithelial ovarian cancer (HGSOC). Expression quantitative trait locus (eQTL) analyses can identify candidate susceptibility genes at risk loci. Here we evaluate cis-eQTL associations at 47 regions associated with HGSOC risk (P≤10−5). For three cis-eQTL associations (P<1.4 × 10−3, FDR<0.05) at 1p36 (CDC42), 1p34 (CDCA8) and 2q31 (HOXD9), we evaluate the functional role of each candidate by perturbing expression of each gene in HGSOC precursor cells. Overexpression of HOXD9 increases anchorage-independent growth, shortens population-doubling time and reduces contact inhibition. Chromosome conformation capture identifies an interaction between rs2857532 and the HOXD9 promoter, suggesting this SNP is a leading causal variant. Transcriptomic profiling after HOXD9 overexpression reveals enrichment of HGSOC risk variants within HOXD9 target genes (P=6 × 10−10 for risk variants (P<10−4) within 10 kb of a HOXD9 target gene in ovarian cells), suggesting a broader role for this network in genetic susceptibility to HGSOC. PMID:26391404

  1. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus

    DEFF Research Database (Denmark)

    Horne, Hisani N; Chung, Charles C; Zhang, Han;

    2016-01-01

    The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking...

  2. Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

    NARCIS (Netherlands)

    Plon, S.E.; Eccles, D.M.; Easton, D.; Foulkes, W.D.; Genuardi, M.; Greenblatt, M.S.; Hogervorst, F.B.; Hoogerbrugge, N.; Spurdle, A.B.; Tavtigian, S.V.

    2008-01-01

    Genetic testing of cancer susceptibility genes is now widely applied in clinical practice to predict risk of developing cancer. In general, sequence-based testing of germline DNA is used to determine whether an individual carries a change that is clearly likely to disrupt normal gene function. Genet

  3. DNA repair genotypes and phenotypes and cancer susceptibility

    Institute of Scientific and Technical Information of China (English)

    Qingyi Wei

    2008-01-01

    @@ The role of DNA repair in the etiology of cancers has been well illustrated in several hereditary syndromes, in which an inherited defect in DNA repair and related biological processes is associated with extraordinarily high incidence of cancer.

  4. Ovarian Cancer Susceptibility Alleles and Risk of Ovarian Cancer in BRCA1 and BRCA2 Mutation Carriers

    Science.gov (United States)

    Ramus, Susan J.; Antoniou, Antonis C; Kuchenbaecker, Karoline B.; Soucy, Penny; Beesley, Jonathan; Chen, Xiaoqing; McGuffog, Lesley; Sinilnikova, Olga M.; Healey, Sue; Barrowdale, Daniel; Lee, Andrew; Thomassen, Mads; Gerdes, Anne-Marie; Kruse, Torben A.; Jensen, Uffe Birk; Skytte, Anne-Bine; Caligo, Maria A.; Liljegren, Annelie; Lindblom, Annika; Olsson, Håkan; Kristoffersson, Ulf; Stenmark-Askmalm, Marie; Melin, Beatrice; Domchek, Susan M.; Nathanson, Katherine L.; Rebbeck, Timothy R.; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Złowocka, Elżbieta; Gronwald, Jacek; Huzarski, Tomasz; Byrski, Tomasz; Cybulski, Cezary; Toloczko-Grabarek, Aleksandra; Osorio, Ana; Benitez, Javier; Duran, Mercedes; Tejada, Maria-Isabel; Hamann, Ute; Rookus, Matti; van Leeuwen, Flora E.; Aalfs, Cora M.; Meijers-Heijboer, Hanne E.J.; van Asperen, Christi J.; van Roozendaal, K.E.P.; Hoogerbrugge, Nicoline; Collée, J. Margriet; Kriege, Mieke; van der Luijt, Rob B.; Peock, Susan; Frost, Debra; Ellis, Steve D.; Platte, Radka; Fineberg, Elena; Evans, D. Gareth; Lalloo, Fiona; Jacobs, Chris; Eeles, Ros; Adlard, Julian; Davidson, Rosemarie; Eccles, Diana; Cole, Trevor; Cook, Jackie; Paterson, Joan; Douglas, Fiona; Brewer, Carole; Hodgson, Shirley; Morrison, Patrick J.; Walker, Lisa; Porteous, Mary E.; Kennedy, M. John; Pathak, Harsh; Godwin, Andrew K.; Stoppa-Lyonnet, Dominique; Caux-Moncoutier, Virginie; de Pauw, Antoine; Gauthier-Villars, Marion; Mazoyer, Sylvie; Léoné, Mélanie; Calender, Alain; Lasset, Christine; Bonadona, Valérie; Hardouin, Agnès; Berthet, Pascaline; Bignon, Yves-Jean; Uhrhammer, Nancy; Faivre, Laurence; Loustalot, Catherine; Buys, Saundra; Daly, Mary; Miron, Alex; Terry, Mary Beth; Chung, Wendy K.; John, Esther M; Southey, Melissa; Goldgar, David; Singer, Christian F; Tea, Muy-Kheng; Pfeiler, Georg; Fink-Retter, Anneliese; Hansen, Thomas v. O.; Ejlertsen, Bent; Johannsson, Oskar Th.; Offit, Kenneth; Kirchhoff, Tomas; Gaudet, Mia M.; Vijai, Joseph; Robson, Mark; Piedmonte, Marion; Phillips, Kelly-Anne; Van Le, Linda; Hoffman, James S; Toland, Amanda Ewart; Montagna, Marco; Tognazzo, Silvia; Imyanitov, Evgeny; Isaacs, Claudine; Janavicius, Ramunas; Lazaro, Conxi; Blanco, Ignacio; Tornero, Eva; Navarro, Matilde; Moysich, Kirsten B.; Karlan, Beth Y.; Gross, Jenny; Olah, Edith; Vaszko, Tibor; Teo, Soo-Hwang; Ganz, Patricia A.; Beattie, Mary S.; Dorfling, Cecelia M; van Rensburg, Elizabeth J; Diez, Orland; Kwong, Ava; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Heidemann, Simone; Niederacher, Dieter; Preisler-Adams, Sabine; Gadzicki, Dorotehea; Varon-Mateeva, Raymonda; Deissler, Helmut; Gehrig, Andrea; Sutter, Christian; Kast, Karin; Fiebig, Britta; Schäfer, Dieter; Caldes, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Aittomäki, Kristiina; Plante, Marie; Spurdle, Amanda B.; Neuhausen, Susan L.; Ding, Yuan Chun; Wang, Xianshu; Lindor, Noralane; Fredericksen, Zachary; Pankratz, V. Shane; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Bonanni, Bernardo; Bernard, Loris; Dolcetti, Riccardo; Papi, Laura; Ottini, Laura; Radice, Paolo; Greene, Mark H.; Mai, Phuong L.; Andrulis, Irene L.; Glendon, Gord; Ozcelik, Hilmi; Pharoah, Paul D.P.; Gayther, Simon A.; Simard, Jacques; Easton, Douglas F.; Couch, Fergus J.; Chenevix-Trench, Georgia

    2012-01-01

    Germline mutations in BRCA1 and BRCA2 are associated with increased risks of breast and ovarian cancer. A genome-wide association study (GWAS) identified six alleles associated with risk of ovarian cancer for women in the general population. We evaluated four of these loci as potential modifiers of ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Four single-nucleotide polymorphisms (SNPs), rs10088218 (at 8q24), rs2665390 (at 3q25), rs717852 (at 2q31), and rs9303542 (at 17q21), were genotyped in 12,599 BRCA1 and 7,132 BRCA2 carriers, including 2,678 ovarian cancer cases. Associations were evaluated within a retrospective cohort approach. All four loci were associated with ovarian cancer risk in BRCA2 carriers; rs10088218 per-allele hazard ratio (HR) = 0.81 (95% CI: 0.67–0.98) P-trend = 0.033, rs2665390 HR = 1.48 (95% CI: 1.21–1.83) P-trend = 1.8 × 10−4, rs717852 HR = 1.25 (95% CI: 1.10–1.42) P-trend = 6.6 × 10−4, rs9303542 HR = 1.16 (95% CI: 1.02–1.33) P-trend = 0.026. Two loci were associated with ovarian cancer risk in BRCA1 carriers; rs10088218 per-allele HR = 0.89 (95% CI: 0.81–0.99) P-trend = 0.029, rs2665390 HR = 1.25 (95% CI: 1.10–1.42) P-trend = 6.1 × 10−4. The HR estimates for the remaining loci were consistent with odds ratio estimates for the general population. The identification of multiple loci modifying ovarian cancer risk may be useful for counseling women with BRCA1 and BRCA2 mutations regarding their risk of ovarian cancer. PMID:22253144

  5. Women’s perceived susceptibility to and utilisation of cervical cancer screening services in Malawi

    Directory of Open Access Journals (Sweden)

    Melanie Y. Hami

    2014-10-01

    Full Text Available Background: Malawi provides cervical cancer screening services free of charge at some public health facilities. Few women make use of these cancer screening services in Malawi and many women continue to be diagnosed with cervical cancer only during the late inoperable stages of the condition. Objectives: The purpose of this study was to discover whether the perceived susceptibility to cervical cancer, amongst Malawian women aged 42 and older, influenced their intentions to utilise the available free cervical cancer screening services. Method: A quantitative, cross-sectional descriptive study design was adopted. Structured interviews were conducted with 381 women who visited 3 health centres in the Blantyre District of Malawi. Results: A statistically-significant association existed between women’s intentions to be screened for cervical cancer and their knowledge about cervical cancer (X² = 8.9; df = 1; p = 0.003 and with having heard about HPV infection (X² = 4.2; df = 1; p = 0.041 at the 5% significance level. Cervical cancer screening services are provided free of charge in government health institutions in Malawi. Nevertheless, low perceived susceptibility to cervical cancer amongst women, aged 42 and older, might contribute to limited utilisation of cervical screening services, explaining why 80% of cervical cancer patients in Malawi were diagnosed during the late inoperable stages. Conclusion: Malawian women lacked awareness regarding their susceptibility to cervical cancer and required information about the available cervical cancer screening services. Malawi’s women, aged 42 and older, must be informed about the advantages of cervical cancer screening and about the importance of effective treatment if an early diagnosis has been made. Women aged 42 and older rarely attend antenatal, post-natal, well baby or family-planning clinics, where health education about cervical cancer screening is often provided. Consequently, these women

  6. Screening for amplification genomic loci and genes associated prognosis in gastric cancer

    Institute of Scientific and Technical Information of China (English)

    2015-01-01

    Objective:We used a high-resolution array-based comparative genomic hybridization (aCGH) coupled with patient clinical information to identify prognosis-related genomic loci and genes.Methods: aCGH coupled with patient clinical information was applied to identify prognosis-related loci and genes with high-frequency recurrent gains in 129 GC cases. The candidate loci and genes were validated using an independent cohort of 384 cases through branched DNA signal ampliifcation analysis.Results:A copy number gain of three chromosome regions, namely, 8q22, 8q24and 20q11-q13, conferred poor survival for patients. In addition, MYC, TNFRSF11B, ESRP1, CSE1L and MMP9 were found to be well correlated. Further validation verified that only MYC and TNFRSF11B within 8q24 are related to survival. Patients with gains in both MYC and TNFRSF11B presented poorer survival than those with no gains, particularly those with non-cardia GC. Gains in both of these genes were also a signiifcant independent prognostic indicator.Conclusion:Copy number gains in MYC and TNFRSF11B located at 8q24are associated with survival in GC, particularly non-cardia GC.

  7. The Role of Methylation in Breast Cancer Susceptibility and Treatment.

    Science.gov (United States)

    Pouliot, Marie-Christine; Labrie, Yvan; Diorio, Caroline; Durocher, Francine

    2015-09-01

    DNA methylation is a critical mechanism of epigenetic modification involved in gene expression programming, that can promote the development of several cancers, including breast cancer. The methylation of CpG islands by DNA methyltransferases is reversible and has been shown to modify the transcriptional activity of key proliferation genes or transcription factors involved in suppression or promotion of cell growth. Indeed, aberrant methylation found in gene promoters is a hallmark of cancer that could be used as non-intrusive biomarker in body fluids such as blood and plasma for early detection of breast cancer. Many biomarker genes have been evaluated for breast cancer detection. However, in the absence of a unique biomarker having the sufficient specificity and sensitivity, a panel of multiple genes should be used. Treatments targeting aberrant methylation by DNA methyltransferase inhibitors, which trigger re-expression of silenced genes, are now available and allow for better treatment efficiency. PMID:26254344

  8. American Society of Clinical Oncology Policy Statement Update: Genetic and Genomic Testing for Cancer Susceptibility.

    Science.gov (United States)

    Robson, Mark E; Bradbury, Angela R; Arun, Banu; Domchek, Susan M; Ford, James M; Hampel, Heather L; Lipkin, Stephen M; Syngal, Sapna; Wollins, Dana S; Lindor, Noralane M

    2015-11-01

    The American Society of Clinical Oncology (ASCO) has long affirmed that the recognition and management of individuals with an inherited susceptibility to cancer are core elements of oncology care. ASCO released its first statement on genetic testing in 1996 and updated that statement in 2003 and 2010 in response to developments in the field. In 2014, the Cancer Prevention and Ethics Committees of ASCO commissioned another update to reflect the impact of advances in this area on oncology practice. In particular, there was an interest in addressing the opportunities and challenges arising from the application of massively parallel sequencing-also known as next-generation sequencing-to cancer susceptibility testing. This technology introduces a new level of complexity into the practice of cancer risk assessment and management, requiring renewed effort on the part of ASCO to ensure that those providing care to patients with cancer receive the necessary education to use this new technology in the most effective, beneficial manner. The purpose of this statement is to explore the challenges of new and emerging technologies in cancer genetics and provide recommendations to ensure their optimal deployment in oncology practice. Specifically, the statement makes recommendations in the following areas: germline implications of somatic mutation profiling, multigene panel testing for cancer susceptibility, quality assurance in genetic testing, education of oncology professionals, and access to cancer genetic services.

  9. 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 w...

  10. SNP-SNP interactions in breast cancer susceptibility

    International Nuclear Information System (INIS)

    Breast cancer predisposition genes identified to date (e.g., BRCA1 and BRCA2) are responsible for less than 5% of all breast cancer cases. Many studies have shown that the cancer risks associated with individual commonly occurring single nucleotide polymorphisms (SNPs) are incremental. However, polygenic models suggest that multiple commonly occurring low to modestly penetrant SNPs of cancer related genes might have a greater effect on a disease when considered in combination. In an attempt to identify the breast cancer risk conferred by SNP interactions, we have studied 19 SNPs from genes involved in major cancer related pathways. All SNPs were genotyped by TaqMan 5'nuclease assay. The association between the case-control status and each individual SNP, measured by the odds ratio and its corresponding 95% confidence interval, was estimated using unconditional logistic regression models. At the second stage, two-way interactions were investigated using multivariate logistic models. The robustness of the interactions, which were observed among SNPs with stronger functional evidence, was assessed using a bootstrap approach, and correction for multiple testing based on the false discovery rate (FDR) principle. None of these SNPs contributed to breast cancer risk individually. However, we have demonstrated evidence for gene-gene (SNP-SNP) interaction among these SNPs, which were associated with increased breast cancer risk. Our study suggests cross talk between the SNPs of the DNA repair and immune system (XPD-[Lys751Gln] and IL10-[G(-1082)A]), cell cycle and estrogen metabolism (CCND1-[Pro241Pro] and COMT-[Met108/158Val]), cell cycle and DNA repair (BARD1-[Pro24Ser] and XPD-[Lys751Gln]), and within carcinogen metabolism (GSTP1-[Ile105Val] and COMT-[Met108/158Val]) pathways. The importance of these pathways and their communication in breast cancer predisposition has been emphasized previously, but their biological interactions through SNPs have not been described

  11. SNP-SNP interactions in breast cancer susceptibility

    Directory of Open Access Journals (Sweden)

    Wang Yuanyuan

    2006-05-01

    Full Text Available Abstract Background Breast cancer predisposition genes identified to date (e.g., BRCA1 and BRCA2 are responsible for less than 5% of all breast cancer cases. Many studies have shown that the cancer risks associated with individual commonly occurring single nucleotide polymorphisms (SNPs are incremental. However, polygenic models suggest that multiple commonly occurring low to modestly penetrant SNPs of cancer related genes might have a greater effect on a disease when considered in combination. Methods In an attempt to identify the breast cancer risk conferred by SNP interactions, we have studied 19 SNPs from genes involved in major cancer related pathways. All SNPs were genotyped by TaqMan 5'nuclease assay. The association between the case-control status and each individual SNP, measured by the odds ratio and its corresponding 95% confidence interval, was estimated using unconditional logistic regression models. At the second stage, two-way interactions were investigated using multivariate logistic models. The robustness of the interactions, which were observed among SNPs with stronger functional evidence, was assessed using a bootstrap approach, and correction for multiple testing based on the false discovery rate (FDR principle. Results None of these SNPs contributed to breast cancer risk individually. However, we have demonstrated evidence for gene-gene (SNP-SNP interaction among these SNPs, which were associated with increased breast cancer risk. Our study suggests cross talk between the SNPs of the DNA repair and immune system (XPD-[Lys751Gln] and IL10-[G(-1082A], cell cycle and estrogen metabolism (CCND1-[Pro241Pro] and COMT-[Met108/158Val], cell cycle and DNA repair (BARD1-[Pro24Ser] and XPD-[Lys751Gln], and within carcinogen metabolism (GSTP1-[Ile105Val] and COMT-[Met108/158Val] pathways. Conclusion The importance of these pathways and their communication in breast cancer predisposition has been emphasized previously, but their

  12. Genetic variants on 3q21 and in the Sp8 transcription factor gene (SP8 as susceptibility loci for psychotic disorders: a genetic association study.

    Directory of Open Access Journals (Sweden)

    Kenji Kondo

    Full Text Available BACKGROUND: Recent genome-wide association studies (GWASs investigating bipolar disorder (BD have detected a number of susceptibility genes. These studies have also provided novel insight into shared genetic components between BD and schizophrenia (SCZ, two major psychotic disorders. To examine the replication of the risk variants for BD and the pleiotropic effect of the variants associated with BD, we conducted a genetic association study of single nucleotide polymorphisms (SNPs that were selected based upon previous BD GWASs, which targeted psychotic disorders (BD and SCZ in the Japanese population. METHODS: Forty-eight SNPs were selected based upon previous GWASs. A two-stage analysis was conducted using first-set screening (for all SNPs: BD = 1,012, SCZ = 1,032 and control = 993 and second-set replication samples (for significant SNPs in the screening analysis: BD = 821, SCZ = 1,808 and control = 2,149. We assessed allelic association between BD, SCZ, psychosis (BD+SCZ and the SNPs selected for the analysis. RESULTS: Eight SNPs revealed nominal association signals for all comparisons (Puncorrected<0.05. Among these SNPs, the top two SNPs (associated with psychosis: Pcorrected = 0.048 and 0.037 for rs2251219 and rs2709722, respectively were further assessed in the second-set samples, and we replicated the signals from the initial screening analysis (associated with psychosis: Pcorrected = 0.0070 and 0.033 for rs2251219 and rs2709722, respectively. The meta-analysis between the current and previous GWAS results showed that rs2251219 in Polybromo1 (PBRM1 was significant on genome-wide association level (P = 5×10(-8 only for BD (P = 9.4×10(-9 and psychosis (P = 2.0×10(-10. Although the association of rs2709722 in Sp8 transcription factor (SP8 was suggestive in the Asian population (P = 2.1×10(-7 for psychosis, this signal weakened when the samples size was increased by including data from a

  13. Genetic Analysis with the Immunochip Platform in Behçet Disease. Identification of Residues Associated in the HLA Class I Region and New Susceptibility Loci

    Science.gov (United States)

    Montes-Cano, Marco-Antonio; García-Lozano, José-Raúl; Conde-Jaldón, Marta; Ortego-Centeno, Norberto; Castillo, María Jesús; Sánchez-Bursón, Juan; Juliá, María Rosa; Solans, Roser; Blanco, Ricardo; Barnosi-Marín, Ana-Celia; Gómez de la Torre, Ricardo; Fanlo, Patricia; Rodríguez-Carballeira, Mónica; Camps, Teresa; Castañeda, Santos; Alegre-Sancho, Juan-Jose; Martín, Javier; González-Escribano, María Francisca

    2016-01-01

    Behcet's disease (BD) is an immuno-mediated vasculitis in which knowledge of its etiology and genetic basis is limited. To improve the current knowledge, a genetic analysis performed with the Immunochip platform was carried out in a population from Spain. A discovery cohort comprising 278 BD cases and 1,517 unaffected controls were genotyped using the Immunochip platform. The validation step was performed on an independent replication cohort composed of 130 BD cases and 600 additional controls. The strongest association signals were observed in the HLA class I region, being HLA-B*51 the highest peak (overall P = 6.82E-32, OR = 3.82). A step-wise conditional logistic regression with classical alleles identified HLA-B*57 and HLA-A*03 as additional independent markers. The amino acid model that best explained the association, includes the position 97 of the HLA-B molecule and the position 66 of the HLA-A. Among the non-HLA loci, the most significant in the discovery analysis were: IL23R (rs10889664: P = 3.81E-12, OR = 2.00), the JRKL/CNTN5 region (rs2848479: P = 5.00E-08, OR = 1.68) and IL12A (rs1874886: P = 6.67E-08, OR = 1.72), which were confirmed in the validation phase (JRKL/CNTN5 rs2848479: P = 3.29E-10, OR = 1.66; IL12A rs1874886: P = 1.62E-08, OR = 1.61). Our results confirm HLA-B*51 as a primary-association marker in predisposition to BD and suggest additional independent signals within the class I region, specifically in the genes HLA-A and HLA-B. Regarding the non-HLA genes, in addition to IL-23R, previously reported in our population; IL12A, described in other populations, was found to be a BD susceptibility factor also in Spaniards; finally, a new associated locus was found in the JRKL/CNTN5 region. PMID:27548383

  14. High-density SNP mapping of the HLA region identifies multiple independent susceptibility loci associated with selective IgA deficiency.

    Directory of Open Access Journals (Sweden)

    Ricardo C Ferreira

    2012-01-01

    Full Text Available Selective IgA deficiency (IgAD; serum IgA<0.07 g/l is the most common form of human primary immune deficiency, affecting approximately 1∶600 individuals in populations of Northern European ancestry. The polygenic nature of IgAD is underscored by the recent identification of several new risk genes in a genome-wide association study. Among the characterized susceptibility loci, the association with specific HLA haplotypes represents the major genetic risk factor for IgAD. Despite the robust association, the nature and location of the causal variants in the HLA region remains unknown. To better characterize the association signal in this region, we performed a high-density SNP mapping of the HLA locus and imputed the genotypes of common HLA-B, -DRB1, and -DQB1 alleles in a combined sample of 772 IgAD patients and 1,976 matched controls from 3 independent European populations. We confirmed the complex nature of the association with the HLA locus, which is the result of multiple effects spanning the entire HLA region. The primary association signal mapped to the HLA-DQB1*02 allele in the HLA Class II region (combined P = 7.69×10(-57; OR = 2.80 resulting from the combined independent effects of the HLA-B*0801-DRB1*0301-DQB1*02 and -DRB1*0701-DQB1*02 haplotypes, while additional secondary signals were associated with the DRB1*0102 (combined P = 5.86×10(-17; OR = 4.28 and the DRB1*1501 (combined P = 2.24×10(-35; OR = 0.13 alleles. Despite the strong population-specific frequencies of HLA alleles, we found a remarkable conservation of these effects regardless of the ethnic background, which supports the use of large multi-ethnic populations to characterize shared genetic association signals in the HLA region. We also provide evidence for the location of association signals within the specific extended haplotypes, which will guide future sequencing studies aimed at characterizing the precise functional variants contributing to

  15. Interactions Between Genetic Variants and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium

    NARCIS (Netherlands)

    Campa, Daniele; Kaaks, Rudolf; Le Marchand, Loic; Haiman, Christopher A.; Travis, Ruth C.; Berg, Christine D.; Buring, Julie E.; Chanock, Stephen J.; Diver, W. Ryan; Dostal, Lucie; Fournier, Agnes; Hankinson, Susan E.; Henderson, Brian E.; Hoover, Robert N.; Isaacs, Claudine; Johansson, Mattias; Kolonel, Laurence N.; Kraft, Peter; Lee, I-Min; McCarty, Catherine A.; Overvad, Kim; Panico, Salvatore; Peeters, Petra H. M.; Riboli, Elio; Jose Sanchez, Maria; Schumacher, Fredrick R.; Skeie, Guri; Stram, Daniel O.; Thun, Michael J.; Trichopoulos, Dimitrios; Zhang, Shumin; Ziegler, Regina G.; Hunter, David J.; Lindstroem, Sara; Canzian, Federico

    2011-01-01

    Background Recently, several genome-wide association studies have identified various genetic susceptibility loci for breast cancer. Relatively little is known about the possible interactions between these loci and the established risk factors for breast cancer. Methods To assess interactions between

  16. Base excision repair mechanisms and relevance to cancer susceptibility

    International Nuclear Information System (INIS)

    The base excision repair (BER) pathway is considered the predominant DNA repair system in mammalian cells for eliminating small DNA lesions generated at DNA bases either exogenously by environmental agents or endogenously by normal cellular metabolic processes (e.g. production of oxyradical species, alkylating agents, etc). The main goal of this project is the understanding of the involvement of BER in genome stability and in particular in sporadic cancer development associated with inflammation such as gastric cancer (GC). A major risk factor of GC is the infection by Helicobacter pylori, which causes oxidative stress. Oxidative DNA damage is mainly repaired by BER

  17. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

    Science.gov (United States)

    Wang, Zhaoming; Zhu, Bin; Zhang, Mingfeng; Parikh, Hemang; Jia, Jinping; Chung, Charles C.; Sampson, Joshua N.; Hoskins, Jason W.; Hutchinson, Amy; Burdette, Laurie; Ibrahim, Abdisamad; Hautman, Christopher; Raj, Preethi S.; Abnet, Christian C.; Adjei, Andrew A.; Ahlbom, Anders; Albanes, Demetrius; Allen, Naomi E.; Ambrosone, Christine B.; Aldrich, Melinda; Amiano, Pilar; Amos, Christopher; Andersson, Ulrika; Andriole, Gerald; Andrulis, Irene L.; Arici, Cecilia; Arslan, Alan A.; Austin, Melissa A.; Baris, Dalsu; Barkauskas, Donald A.; Bassig, Bryan A.; Beane Freeman, Laura E.; Berg, Christine D.; Berndt, Sonja I.; Bertazzi, Pier Alberto; Biritwum, Richard B.; Black, Amanda; Blot, William; Boeing, Heiner; Boffetta, Paolo; Bolton, Kelly; Boutron-Ruault, Marie-Christine; Bracci, Paige M.; Brennan, Paul; Brinton, Louise A.; Brotzman, Michelle; Bueno-de-Mesquita, H. Bas; Buring, Julie E.; Butler, Mary Ann; Cai, Qiuyin; Cancel-Tassin, Geraldine; Canzian, Federico; Cao, Guangwen; Caporaso, Neil E.; Carrato, Alfredo; Carreon, Tania; Carta, Angela; Chang, Gee-Chen; Chang, I-Shou; Chang-Claude, Jenny; Che, Xu; Chen, Chien-Jen; Chen, Chih-Yi; Chen, Chung-Hsing; Chen, Constance; Chen, Kuan-Yu; Chen, Yuh-Min; Chokkalingam, Anand P.; Chu, Lisa W.; Clavel-Chapelon, Francoise; Colditz, Graham A.; Colt, Joanne S.; Conti, David; Cook, Michael B.; Cortessis, Victoria K.; Crawford, E. David; Cussenot, Olivier; Davis, Faith G.; De Vivo, Immaculata; Deng, Xiang; Ding, Ti; Dinney, Colin P.; Di Stefano, Anna Luisa; Diver, W. Ryan; Duell, Eric J.; Elena, Joanne W.; Fan, Jin-Hu; Feigelson, Heather Spencer; Feychting, Maria; Figueroa, Jonine D.; Flanagan, Adrienne M.; Fraumeni, Joseph F.; Freedman, Neal D.; Fridley, Brooke L.; Fuchs, Charles S.; Gago-Dominguez, Manuela; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M.; Garcia-Closas, Montserrat; Garcia-Closas, Reina; Gastier-Foster, Julie M.; Gaziano, J. Michael; Gerhard, Daniela S.; Giffen, Carol A.; Giles, Graham G.; Gillanders, Elizabeth M.; Giovannucci, Edward L.; Goggins, Michael; Gokgoz, Nalan; Goldstein, Alisa M.; Gonzalez, Carlos; Gorlick, Richard; Greene, Mark H.; Gross, Myron; Grossman, H. Barton; Grubb, Robert; Gu, Jian; Guan, Peng; Haiman, Christopher A.; Hallmans, Goran; Hankinson, Susan E.; Harris, Curtis C.; Hartge, Patricia; Hattinger, Claudia; Hayes, Richard B.; He, Qincheng; Helman, Lee; Henderson, Brian E.; Henriksson, Roger; Hoffman-Bolton, Judith; Hohensee, Chancellor; Holly, Elizabeth A.; Hong, Yun-Chul; Hoover, Robert N.; Hosgood, H. Dean; Hsiao, Chin-Fu; Hsing, Ann W.; Hsiung, Chao Agnes; Hu, Nan; Hu, Wei; Hu, Zhibin; Huang, Ming-Shyan; Hunter, David J.; Inskip, Peter D.; Ito, Hidemi; Jacobs, Eric J.; Jacobs, Kevin B.; Jenab, Mazda; Ji, Bu-Tian; Johansen, Christoffer; Johansson, Mattias; Johnson, Alison; Kaaks, Rudolf; Kamat, Ashish M.; Kamineni, Aruna; Karagas, Margaret; Khanna, Chand; Khaw, Kay-Tee; Kim, Christopher; Kim, In-Sam; Kim, Jin Hee; Kim, Yeul Hong; Kim, Young-Chul; Kim, Young Tae; Kang, Chang Hyun; Jung, Yoo Jin; Kitahara, Cari M.; Klein, Alison P.; Klein, Robert; Kogevinas, Manolis; Koh, Woon-Puay; Kohno, Takashi; Kolonel, Laurence N.; Kooperberg, Charles; Kratz, Christian P.; Krogh, Vittorio; Kunitoh, Hideo; Kurtz, Robert C.; Kurucu, Nilgun; Lan, Qing; Lathrop, Mark; Lau, Ching C.; Lecanda, Fernando; Lee, Kyoung-Mu; Lee, Maxwell P.; Le Marchand, Loic; Lerner, Seth P.; Li, Donghui; Liao, Linda M.; Lim, Wei-Yen; Lin, Dongxin; Lin, Jie; Lindstrom, Sara; Linet, Martha S.; Lissowska, Jolanta; Liu, Jianjun; Ljungberg, Börje; Lloreta, Josep; Lu, Daru; Ma, Jing; Malats, Nuria; Mannisto, Satu; Marina, Neyssa; Mastrangelo, Giuseppe; Matsuo, Keitaro; McGlynn, Katherine A.; McKean-Cowdin, Roberta; McNeill, Lorna H.; McWilliams, Robert R.; Melin, Beatrice S.; Meltzer, Paul S.; Mensah, James E.; Miao, Xiaoping; Michaud, Dominique S.; Mondul, Alison M.; Moore, Lee E.; Muir, Kenneth; Niwa, Shelley; Olson, Sara H.; Orr, Nick; Panico, Salvatore; Park, Jae Yong; Patel, Alpa V.; Patino-Garcia, Ana; Pavanello, Sofia; Peeters, Petra H. M.; Peplonska, Beata; Peters, Ulrike; Petersen, Gloria M.; Picci, Piero; Pike, Malcolm C.; Porru, Stefano; Prescott, Jennifer; Pu, Xia; Purdue, Mark P.; Qiao, You-Lin; Rajaraman, Preetha; Riboli, Elio; Risch, Harvey A.; Rodabough, Rebecca J.; Rothman, Nathaniel; Ruder, Avima M.; Ryu, Jeong-Seon; Sanson, Marc; Schned, Alan; Schumacher, Fredrick R.; Schwartz, Ann G.; Schwartz, Kendra L.; Schwenn, Molly; Scotlandi, Katia; Seow, Adeline; Serra, Consol; Serra, Massimo; Sesso, Howard D.; Severi, Gianluca; Shen, Hongbing; Shen, Min; Shete, Sanjay; Shiraishi, Kouya; Shu, Xiao-Ou; Siddiq, Afshan; Sierrasesumaga, Luis; Sierri, Sabina; Loon Sihoe, Alan Dart; Silverman, Debra T.; Simon, Matthias; Southey, Melissa C.; Spector, Logan; Spitz, Margaret; Stampfer, Meir; Stattin, Par; Stern, Mariana C.; Stevens, Victoria L.; Stolzenberg-Solomon, Rachael Z.; Stram, Daniel O.; Strom, Sara S.; Su, Wu-Chou; Sund, Malin; Sung, Sook Whan; Swerdlow, Anthony; Tan, Wen; Tanaka, Hideo; Tang, Wei; Tang, Ze-Zhang; Tardon, Adonina; Tay, Evelyn; Taylor, Philip R.; Tettey, Yao; Thomas, David M.; Tirabosco, Roberto; Tjonneland, Anne; Tobias, Geoffrey S.; Toro, Jorge R.; Travis, Ruth C.; Trichopoulos, Dimitrios; Troisi, Rebecca; Truelove, Ann; Tsai, Ying-Huang; Tucker, Margaret A.; Tumino, Rosario; Van Den Berg, David; Van Den Eeden, Stephen K.; Vermeulen, Roel; Vineis, Paolo; Visvanathan, Kala; Vogel, Ulla; Wang, Chaoyu; Wang, Chengfeng; Wang, Junwen; Wang, Sophia S.; Weiderpass, Elisabete; Weinstein, Stephanie J.; Wentzensen, Nicolas; Wheeler, William; White, Emily; Wiencke, John K.; Wolk, Alicja; Wolpin, Brian M.; Wong, Maria Pik; Wrensch, Margaret; Wu, Chen; Wu, Tangchun; Wu, Xifeng; Wu, Yi-Long; Wunder, Jay S.; Xiang, Yong-Bing; Xu, Jun; Yang, Hannah P.; Yang, Pan-Chyr; Yatabe, Yasushi; Ye, Yuanqing; Yeboah, Edward D.; Yin, Zhihua; Ying, Chen; Yu, Chong-Jen; Yu, Kai; Yuan, Jian-Min; Zanetti, Krista A.; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Zhou, Baosen; Mirabello, Lisa; Savage, Sharon A.; Kraft, Peter; Chanock, Stephen J.; Yeager, Meredith; Landi, Maria Terese; Shi, Jianxin; Chatterjee, Nilanjan; Amundadottir, Laufey T.

    2014-01-01

    Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10−39; Region 3: rs2853677, P = 3.30 × 10−36 and PConditional = 2.36 × 10−8; Region 4: rs2736098, P = 3.87 × 10−12 and PConditional = 5.19 × 10−6, Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10−6; and Region 6: rs10069690, P = 7.49 × 10−15 and PConditional = 5.35 × 10−7) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10−18 and PConditional = 7.06 × 10−16). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci. PMID:25027329

  18. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33.

    Science.gov (United States)

    Wang, Zhaoming; Zhu, Bin; Zhang, Mingfeng; Parikh, Hemang; Jia, Jinping; Chung, Charles C; Sampson, Joshua N; Hoskins, Jason W; Hutchinson, Amy; Burdette, Laurie; Ibrahim, Abdisamad; Hautman, Christopher; Raj, Preethi S; Abnet, Christian C; Adjei, Andrew A; Ahlbom, Anders; Albanes, Demetrius; Allen, Naomi E; Ambrosone, Christine B; Aldrich, Melinda; Amiano, Pilar; Amos, Christopher; Andersson, Ulrika; Andriole, Gerald; Andrulis, Irene L; Arici, Cecilia; Arslan, Alan A; Austin, Melissa A; Baris, Dalsu; Barkauskas, Donald A; Bassig, Bryan A; Beane Freeman, Laura E; Berg, Christine D; Berndt, Sonja I; Bertazzi, Pier Alberto; Biritwum, Richard B; Black, Amanda; Blot, William; Boeing, Heiner; Boffetta, Paolo; Bolton, Kelly; Boutron-Ruault, Marie-Christine; Bracci, Paige M; Brennan, Paul; Brinton, Louise A; Brotzman, Michelle; Bueno-de-Mesquita, H Bas; Buring, Julie E; Butler, Mary Ann; Cai, Qiuyin; Cancel-Tassin, Geraldine; Canzian, Federico; Cao, Guangwen; Caporaso, Neil E; Carrato, Alfredo; Carreon, Tania; Carta, Angela; Chang, Gee-Chen; Chang, I-Shou; Chang-Claude, Jenny; Che, Xu; Chen, Chien-Jen; Chen, Chih-Yi; Chen, Chung-Hsing; Chen, Constance; Chen, Kuan-Yu; Chen, Yuh-Min; Chokkalingam, Anand P; Chu, Lisa W; Clavel-Chapelon, Francoise; Colditz, Graham A; Colt, Joanne S; Conti, David; Cook, Michael B; Cortessis, Victoria K; Crawford, E David; Cussenot, Olivier; Davis, Faith G; De Vivo, Immaculata; Deng, Xiang; Ding, Ti; Dinney, Colin P; Di Stefano, Anna Luisa; Diver, W Ryan; Duell, Eric J; Elena, Joanne W; Fan, Jin-Hu; Feigelson, Heather Spencer; Feychting, Maria; Figueroa, Jonine D; Flanagan, Adrienne M; Fraumeni, Joseph F; Freedman, Neal D; Fridley, Brooke L; Fuchs, Charles S; Gago-Dominguez, Manuela; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M; Garcia-Closas, Montserrat; Garcia-Closas, Reina; Gastier-Foster, Julie M; Gaziano, J Michael; Gerhard, Daniela S; Giffen, Carol A; Giles, Graham G; Gillanders, Elizabeth M; Giovannucci, Edward L; Goggins, Michael; Gokgoz, Nalan; Goldstein, Alisa M; Gonzalez, Carlos; Gorlick, Richard; Greene, Mark H; Gross, Myron; Grossman, H Barton; Grubb, Robert; Gu, Jian; Guan, Peng; Haiman, Christopher A; Hallmans, Goran; Hankinson, Susan E; Harris, Curtis C; Hartge, Patricia; Hattinger, Claudia; Hayes, Richard B; He, Qincheng; Helman, Lee; Henderson, Brian E; Henriksson, Roger; Hoffman-Bolton, Judith; Hohensee, Chancellor; Holly, Elizabeth A; Hong, Yun-Chul; Hoover, Robert N; Hosgood, H Dean; Hsiao, Chin-Fu; Hsing, Ann W; Hsiung, Chao Agnes; Hu, Nan; Hu, Wei; Hu, Zhibin; Huang, Ming-Shyan; Hunter, David J; Inskip, Peter D; Ito, Hidemi; Jacobs, Eric J; Jacobs, Kevin B; Jenab, Mazda; Ji, Bu-Tian; Johansen, Christoffer; Johansson, Mattias; Johnson, Alison; Kaaks, Rudolf; Kamat, Ashish M; Kamineni, Aruna; Karagas, Margaret; Khanna, Chand; Khaw, Kay-Tee; Kim, Christopher; Kim, In-Sam; Kim, Jin Hee; Kim, Yeul Hong; Kim, Young-Chul; Kim, Young Tae; Kang, Chang Hyun; Jung, Yoo Jin; Kitahara, Cari M; Klein, Alison P; Klein, Robert; Kogevinas, Manolis; Koh, Woon-Puay; Kohno, Takashi; Kolonel, Laurence N; Kooperberg, Charles; Kratz, Christian P; Krogh, Vittorio; Kunitoh, Hideo; Kurtz, Robert C; Kurucu, Nilgun; Lan, Qing; Lathrop, Mark; Lau, Ching C; Lecanda, Fernando; Lee, Kyoung-Mu; Lee, Maxwell P; Le Marchand, Loic; Lerner, Seth P; Li, Donghui; Liao, Linda M; Lim, Wei-Yen; Lin, Dongxin; Lin, Jie; Lindstrom, Sara; Linet, Martha S; Lissowska, Jolanta; Liu, Jianjun; Ljungberg, Börje; Lloreta, Josep; Lu, Daru; Ma, Jing; Malats, Nuria; Mannisto, Satu; Marina, Neyssa; Mastrangelo, Giuseppe; Matsuo, Keitaro; McGlynn, Katherine A; McKean-Cowdin, Roberta; McNeill, Lorna H; McWilliams, Robert R; Melin, Beatrice S; Meltzer, Paul S; Mensah, James E; Miao, Xiaoping; Michaud, Dominique S; Mondul, Alison M; Moore, Lee E; Muir, Kenneth; Niwa, Shelley; Olson, Sara H; Orr, Nick; Panico, Salvatore; Park, Jae Yong; Patel, Alpa V; Patino-Garcia, Ana; Pavanello, Sofia; Peeters, Petra H M; Peplonska, Beata; Peters, Ulrike; Petersen, Gloria M; Picci, Piero; Pike, Malcolm C; Porru, Stefano; Prescott, Jennifer; Pu, Xia; Purdue, Mark P; Qiao, You-Lin; Rajaraman, Preetha; Riboli, Elio; Risch, Harvey A; Rodabough, Rebecca J; Rothman, Nathaniel; Ruder, Avima M; Ryu, Jeong-Seon; Sanson, Marc; Schned, Alan; Schumacher, Fredrick R; Schwartz, Ann G; Schwartz, Kendra L; Schwenn, Molly; Scotlandi, Katia; Seow, Adeline; Serra, Consol; Serra, Massimo; Sesso, Howard D; Severi, Gianluca; Shen, Hongbing; Shen, Min; Shete, Sanjay; Shiraishi, Kouya; Shu, Xiao-Ou; Siddiq, Afshan; Sierrasesumaga, Luis; Sierri, Sabina; Loon Sihoe, Alan Dart

    2014-12-15

    Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10(-39); Region 3: rs2853677, P = 3.30 × 10(-36) and PConditional = 2.36 × 10(-8); Region 4: rs2736098, P = 3.87 × 10(-12) and PConditional = 5.19 × 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10(-6); and Region 6: rs10069690, P = 7.49 × 10(-15) and PConditional = 5.35 × 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10(-18) and PConditional = 7.06 × 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci. PMID:25027329

  19. Common variants at 9q22.33, 14q13.3, and ATM loci, and risk of differentiated thyroid cancer in the French Polynesian population.

    Directory of Open Access Journals (Sweden)

    Stéphane Maillard

    Full Text Available French Polynesia has one of the highest incidence rates of thyroid cancer worldwide. Relationships with the atmospheric nuclear weapons tests and other environmental, biological, or behavioral factors have already been reported, but genetic susceptibility has yet to be investigated. We assessed the contribution of polymorphisms at the 9q22.33 and 14q13.3 loci identified by GWAS, and within the DNA repair gene ATM, to the risk of differentiated thyroid cancer (DTC in 177 cases and 275 matched controls from the native population.For the GWAS SNP rs965513 near FOXE1, an association was found between genotypes G/A and A/A, and risk of DTC. A multiplicative effect of allele A was even noted. An excess risk was also observed in individuals carrying two long alleles of the poly-alanine tract expansion in FOXE1, while no association was observed with rs1867277 falling in the promoter region of the gene. In contrast, the GWAS SNP rs944289 (NKX2-1 did not show any significant association. Although the missense substitution D1853N (rs1801516 in ATM was rare in the population, carriers of the minor allele (A also showed an excess risk. The relationships between these five polymorphisms and the risk of DTC were not contingent on the body surface area, body mass index, ethnicity or dietary iodine intake. However, an interaction was evidenced between the thyroid radiation dose and rs944289.A clear link could not be established between the high incidence in French Polynesia and the studied polymorphisms, involved in susceptibility to DTC in other populations. Important variation in allele frequencies was observed in the Polynesian population as compared to the European populations. For FOXE1 rs965513, the direction of association and the effect size was similar to that observed in other populations, whereas for ATM rs1801516, the minor allele was associated to an increased risk in the Polynesian population and with a decreased risk in the European population.

  20. Identification of candidate susceptibility genes for colorectal cancer through eQTL analysis

    Science.gov (United States)

    Closa, Adria; Cordero, David; Sanz-Pamplona, Rebeca; Solé, Xavier; Crous-Bou, Marta; Paré-Brunet, Laia; Berenguer, Antoni; Guino, Elisabet; Lopez-Doriga, Adriana; Guardiola, Jordi; Biondo, Sebastiano; Salazar, Ramon; Moreno, Victor

    2014-01-01

    In this study, we aim to identify the genes responsible for colorectal cancer risk behind the loci identified in genome-wide association studies (GWAS). These genes may be candidate targets for developing new strategies for prevention or therapy. We analyzed the association of genotypes for 26 GWAS single nucleotide polymorphisms (SNPs) with the expression of genes within a 2 Mb region (cis-eQTLs). Affymetrix Human Genome U219 expression arrays were used to assess gene expression in two series of samples, one of healthy colonic mucosa (n = 47) and other of normal mucosa adjacent to colon cancer (n = 97, total 144). Paired tumor tissues (n = 97) were also analyzed but did not provide additional findings. Partial Pearson correlation (r), adjusted for sample type, was used for the analysis. We have found Bonferroni-significant cis-eQTLs in three loci: rs3802842 in 11q23.1 associated to C11orf53, COLCA1 (C11orf92) and COLCA2 (C11orf93; r = 0.60); rs7136702 in 12q13.12 associated to DIP2B (r = 0.63) and rs5934683 in Xp22.3 associated to SHROOM2 and GPR143 (r = 0.47). For loci in chromosomes 11 and 12, we have found other SNPs in linkage disequilibrium that are more strongly associated with the expression of the identified genes and are better functional candidates: rs7130173 for 11q23.1 (r = 0.66) and rs61927768 for 12q13.12 (r = 0.86). These SNPs are located in DNA regions that may harbor enhancers or transcription factor binding sites. The analysis of trans-eQTLs has identified additional genes in these loci that may have common regulatory mechanisms as shown by the analysis of protein–protein interaction networks. PMID:24760461

  1. 9q31.2-rs865686 as a susceptibility locus for estrogen receptor-positive breast cancer

    DEFF Research Database (Denmark)

    Warren, Helen; Dudbridge, Frank; Fletcher, Olivia;

    2012-01-01

    Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686).......Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686)....

  2. Fetal radiation exposure induces testicular cancer in genetically susceptible mice.

    Directory of Open Access Journals (Sweden)

    Gunapala Shetty

    Full Text Available The prevalence of testicular germ cell tumors (TGCT, a common solid tissue malignancy in young men, has been annually increasing at an alarming rate of 3%. Since the majority of testicular cancers are derived from germ cells at the stage of transformation of primordial germ cell (PGC into gonocytes, the increase has been attributed to maternal/fetal exposures to environmental factors. We examined the effects of an estrogen (diethylstilbestrol, DES, an antiandrogen (flutamide, or radiation on the incidence of testicular germ cell tumors in genetically predisposed 129.MOLF-L1 (L1 congenic mice by exposing them to these agents on days 10.5 and 11.5 of pregnancy. Neither flutamide nor DES produced noticeable increases in testis cancer incidence at 4 weeks of age. In contrast, two doses of 0.8-Gy radiation increased the incidence of TGCT from 45% to 100% in the offspring. The percentage of mice with bilateral tumors, weights of testes with TGCT, and the percentage of tumors that were clearly teratomas were higher in the irradiated mice than in controls, indicating that irradiation induced more aggressive tumors and/or more foci of initiation sites in each testis. This radiation dose did not disrupt spermatogenesis, which was qualitatively normal in tumor-free testes although they were reduced in size. This is the first proof of induction of testicular cancer by an environmental agent and suggests that the male fetus of women exposed to radiation at about 5-6 weeks of pregnancy might have an increased risk of developing testicular cancer. Furthermore, it provides a novel tool for studying the molecular and cellular events of testicular cancer pathogenesis.

  3. Analysis of a p53 Mutation Associated with Cancer Susceptibility for Biochemistry and Genetic Laboratory Courses

    Science.gov (United States)

    Soto-Cruz, Isabel; Legorreta-Herrera, Martha

    2009-01-01

    We have devised and implemented a module for an upper division undergraduate laboratory based on the amplification and analysis of a p53 polymorphism associated with cancer susceptibility. First, students collected a drop of peripheral blood cells using a sterile sting and then used FTA cards to extract the genomic DNA. The p53 region is then PCR…

  4. Association of common variants in mismatch repair genes and breast cancer susceptibility: a multigene study

    International Nuclear Information System (INIS)

    MMR is responsible for the repair of base-base mismatches and insertion/deletion loops. Besides this, MMR is also associated with an anti-recombination function, suppressing homologous recombination. Losses of heterozygosity and/or microsatellite instability have been detected in a large number of skin samples from breast cancer patients, suggesting a potential role of MMR in breast cancer susceptibility. We carried out a hospital-based case-control study in a Caucasian Portuguese population (287 cases and 547 controls) to estimate the susceptibility to non-familial breast cancer associated with some polymorphisms in mismatch repair genes (MSH3, MSH4, MSH6, MLH1, MLH3, PMS1 and MUTYH). Using unconditional logistic regression we found that MLH3 (L844P, G>A) polymorphism GA (Leu/Pro) and AA (Pro/Pro) genotypes were associated with a decreased risk: OR = 0.65 (0.45-0.95) (p = 0.03) and OR = 0.62 (0.41-0.94) (p = 0.03), respectively. Analysis of two-way SNP interaction effects on breast cancer revealed two potential associations to breast cancer susceptibility: MSH3 Ala1045Thr/MSH6 Gly39Glu - AA/TC [OR = 0.43 (0.21-0.83), p = 0.01] associated with a decreased risk; and MSH4 Ala97Thr/MLH3 Leu844Pro - AG/AA [OR = 2.35 (1.23-4.49), p = 0.01], GG/AA [OR = 2.11 (1.12-3,98), p = 0.02], and GG/AG [adjusted OR = 1.88 (1.12-3.15), p = 0.02] all associated with an increased risk for breast cancer. It is possible that some of these common variants in MMR genes contribute significantly to breast cancer susceptibility. However, further studies with a large sample size will be needed to support our results

  5. Quantitative analysis of methylation of genomic loci in early-stage rectal cancer predicts distant recurrence.

    NARCIS (Netherlands)

    Maat, M.F. de; Velde, C.J. van de; Werff, M.P. van der; Putter, H.; Umetani, N.; Klein-Kranenbarg, E.M.; Turner, R.R.; Krieken, J.H.J.M. van; Bilchik, A.; Tollenaar, R.A.; Hoon, D.S.

    2008-01-01

    PURPOSE: There are no accurate prognostic biomarkers specific for rectal cancer. Epigenetic aberrations, in the form of DNA methylation, accumulate early during rectal tumor formation. In a preliminary study, we investigated absolute quantitative methylation changes associated with tumor progression

  6. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium

    Science.gov (United States)

    Milne, Roger L.; Herranz, Jesús; Michailidou, Kyriaki; Dennis, Joe; Tyrer, Jonathan P.; Zamora, M. Pilar; Arias-Perez, José Ignacio; González-Neira, Anna; Pita, Guillermo; Alonso, M. Rosario; Wang, Qin; Bolla, Manjeet K.; Czene, Kamila; Eriksson, Mikael; Humphreys, Keith; Darabi, Hatef; Li, Jingmei; Anton-Culver, Hoda; Neuhausen, Susan L.; Ziogas, Argyrios; Clarke, Christina A.; Hopper, John L.; Dite, Gillian S.; Apicella, Carmel; Southey, Melissa C.; Chenevix-Trench, Georgia; Swerdlow, Anthony; Ashworth, Alan; Orr, Nicholas; Schoemaker, Minouk; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Bojesen, Stig E.; Nordestgaard, Børge G.; Flyger, Henrik; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Wang, Xianshu; Olson, Janet E.; Vachon, Celine; Purrington, Kristen; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Dunning, Alison M.; Shah, Mitul; Guénel, Pascal; Truong, Thérèse; Sanchez, Marie; Mulot, Claire; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Lindblom, Annika; Margolin, Sara; Hooning, Maartje J.; Hollestelle, Antoinette; Collée, J. Margriet; Jager, Agnes; Cox, Angela; Brock, Ian W.; Reed, Malcolm W.R.; Devilee, Peter; Tollenaar, Robert A.E.M.; Seynaeve, Caroline; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Simard, Jacques; Dumont, Martine; Soucy, Penny; Dörk, Thilo; Bogdanova, Natalia V.; Hamann, Ute; Försti, Asta; Rüdiger, Thomas; Ulmer, Hans-Ulrich; Fasching, Peter A.; Häberle, Lothar; Ekici, Arif B.; Beckmann, Matthias W.; Fletcher, Olivia; Johnson, Nichola; dos Santos Silva, Isabel; Peto, Julian; Radice, Paolo; Peterlongo, Paolo; Peissel, Bernard; Mariani, Paolo; Giles, Graham G.; Severi, Gianluca; Baglietto, Laura; Sawyer, Elinor; Tomlinson, Ian; Kerin, Michael; Miller, Nicola; Marme, Federik; Burwinkel, Barbara; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Lambrechts, Diether; Yesilyurt, Betul T.; Floris, Giuseppe; Leunen, Karin; Alnæs, Grethe Grenaker; Kristensen, Vessela; Børresen-Dale, Anne-Lise; García-Closas, Montserrat; Chanock, Stephen J.; Lissowska, Jolanta; Figueroa, Jonine D.; Schmidt, Marjanka K.; Broeks, Annegien; Verhoef, Senno; Rutgers, Emiel J.; Brauch, Hiltrud; Brüning, Thomas; Ko, Yon-Dschun; Couch, Fergus J.; Toland, Amanda E.; Yannoukakos, Drakoulis; Pharoah, Paul D.P.; Hall, Per; Benítez, Javier; Malats, Núria; Easton, Douglas F.

    2014-01-01

    Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70 917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46 450 breast cancer cases and 42 461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P 10−10). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome. PMID:24242184

  7. Tagging single nucleotide polymorphisms in the BRIP1 gene and susceptibility to breast and ovarian cancer.

    Directory of Open Access Journals (Sweden)

    Honglin Song

    Full Text Available BACKGROUND: BRIP1 interacts with BRCA1 and functions in regulating DNA double strand break repair pathways. Germline BRIP1 mutations are associated with breast cancer and Fanconi anemia. Thus, common variants in the BRIP1 are candidates for breast and ovarian cancer susceptibility. METHODS: We used a SNP tagging approach to evaluate the association between common variants (minor allele frequency>or=0.05 in BRIP1 and the risks of breast cancer and invasive ovarian cancer. 12 tagging SNPs (tSNPs in the gene were identified and genotyped in up to 2,270 breast cancer cases and 2,280 controls from the UK and up to 1,513 invasive ovarian cancer cases and 2,515 controls from the UK, Denmark and USA. Genotype frequencies in cases and controls were compared using logistic regression. RESULTS: Two tSNPs showed a marginal significant association with ovarian cancer: Carriers of the minor allele of rs2191249 were at reduced risk compared with the common homozygotes (Odds Ratio (OR = 0.90 (95% CI, 0.82-1.0, P-trend = 0.045 and the minor allele of rs4988344 was associated with increased risk (OR = 1.15 (95%CI, 1.02-1.30, P-trend = 0.02. When the analyses were restricted to serous ovarian cancers, these effects became slightly stronger. These results were not significant at the 5% level after adjusting for multiple testing. None of the tSNPs was associated with breast cancer. CONCLUSIONS: It is unlikely that common variants in BRIP1 contribute significantly to breast cancer susceptibility. The possible association of rs2191249 and rs4988344 with ovarian cancer risks warrant confirmation in independent case-control studies.

  8. Variant alleles of the CYP1B1 gene are associated with colorectal cancer susceptibility

    International Nuclear Information System (INIS)

    CYP1B1 is a P450 enzyme which is involved in the activation of pro-carcinogens to carcinogens as well as sex hormone metabolism. Because differences in the activity of the enzyme have been correlated with variant alleles of single nucleotide polymorphisms (SNPs), it represents an attractive candidate gene for studies into colorectal cancer susceptibility. We genotyped 597 cancer patients and 597controls for three CYP1B1 SNPs, which have previously been shown to be associated with altered enzymatic activity. Using the three SNPs, eight different haplotypes were constructed. The haplotype frequencies were estimated in cases and controls and then compared. The odds ratio for each tumour type, associated with each haplotype was estimated, with reference to the most common haplotype observed in the controls. The three SNPs rs10012, rs1056827 and rs1056836 alone did not provide any significant evidence of association with colorectal cancer risk. Haplotypes of rs1056827 and rs10012 or rs1056827 and rs1056836 revealed an association with colorectal cancer which was significantly stronger in the homozygous carriers. One haplotype was under represented in the colorectal cancer patient group compared to the control population suggesting a protective effect. Genetic variants within the CYP1B1 that are associated with altered function appear to influence susceptibility to a colorectal cancer in Poland. Three haplotypes were associated with altered cancer risk; one conferred protection and two were associated with an increased risk of disease. These observations should be confirmed in other populations

  9. A genomics approach to identify susceptibilities of breast cancer cells to “fever-range” hyperthermia

    International Nuclear Information System (INIS)

    Preclinical and clinical studies have shown for decades that tumor cells demonstrate significantly enhanced sensitivity to “fever range” hyperthermia (increasing the intratumoral temperature to 42-45°C) than normal cells, although it is unknown why cancer cells exhibit this distinctive susceptibility. To address this issue, mammary epithelial cells and three malignant breast cancer lines were subjected to hyperthermic shock and microarray, bioinformatics, and network analysis of the global transcription changes was subsequently performed. Bioinformatics analysis differentiated the gene expression patterns that distinguish the heat shock response of normal cells from malignant breast cancer cells, revealing that the gene expression profiles of mammary epithelial cells are completely distinct from malignant breast cancer lines following this treatment. Using gene network analysis, we identified altered expression of transcripts involved in mitotic regulators, histones, and non-protein coding RNAs as the significant processes that differed between the hyperthermic response of mammary epithelial cells and breast cancer cells. We confirmed our data via qPCR and flow cytometric analysis to demonstrate that hyperthermia specifically disrupts the expression of key mitotic regulators and G2/M phase progression in the breast cancer cells. These data have identified molecular mechanisms by which breast cancer lines may exhibit enhanced susceptibility to hyperthermic shock

  10. 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

    2011-01-01

    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

  11. Follow-up of loci from the International Genomics of Alzheimer's Disease Project identifies TRIP4 as a novel susceptibility gene

    NARCIS (Netherlands)

    A. Ruiz (A.); S. Heilmann (S.); T. Becker (Tim); I. Hernández (Isabel); H. Wagner (Hermann); K.M. Thelen (Karin ); A. Mauleón (A.); M. Rosende-Roca (M.); C. Bellenguez (Céline); J.C. Bis (Joshua); D. Harold (Denise); A. Gerrish (Amy); R. Sims (Rebecca); O. Sotolongo-Grau (O.); L. Espinosa (Lluis); M. Alegret (M.); J.L. Arrieta (J.); A. Lacour (A.); I. Leber (Isabelle); J. Becker (Jessica); A. Lafuente (A.); S. Ruiz (S.); L. Vargas (L.); P.M. Rodríguez; G. Ortega (G.); M.A. Dominguez; R. Mayeux (Richard); J.L. Haines (Jonathan); M.A. Pericak-Vance (Margaret); L.A. Farrer (Lindsay); G.D. Schellenberg (Gerard); V. Chouraki (Vincent); L.J. Launer (Lenore); C.M. van Duijn (Cock); S. Seshadri (Sudha); C. Antúnez (C.); M.M.B. Breteler (Monique); M. Serrano-Ríos (Manuel); F. Jessen; L. Tárraga (L.); M.M. Nöthen (Markus); W. Maier (Wolfgang); M. Boada (Mercè); M.J. Ramírez (María)

    2014-01-01

    textabstractTo follow-up loci discovered by the International Genomics of Alzheimer's Disease Project, we attempted independent replication of 19 single nucleotide polymorphisms (SNPs) in a large Spanish sample (Fundació ACE data set; 1808 patients and 2564 controls). Our results corroborate associa

  12. 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

    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 ...

  13. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes

    DEFF Research Database (Denmark)

    Johnatty, Sharon E; Tyrer, Jonathan P; Kar, Siddhartha;

    2015-01-01

    PURPOSE: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. EXPERIMENTAL DESIGN: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment...... at standard doses. We evaluated the top SNPs in 4,434 EOC patients, including patients from The Cancer Genome Atlas. In addition, we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis. RESULTS: Five SNPs were significantly...... for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent first-line treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥ 4 cycles of paclitaxel and carboplatin...

  14. Relationship between Polymorphism of Nicotinic Acetylcholine Receptor Gene CHRNA3 and Susceptibility of Lung Cancer

    Institute of Scientific and Technical Information of China (English)

    Shen Bo; Shi Meiqi; Mei Jinfeng; Hong Zhuan; Cao Guochun; Lu Jianwei; Feng Jifeng

    2013-01-01

    Objective:To investigate the relationship between polymorphism of nicotinic acetylcholine receptor gene CHRNA3 and susceptibility of lung cancer. Methods:Sixty hundred patients with lung cancer and 600 healthy people were respectively selected. TaqMan-MGB probe technique was applied to detect rs3743073 (T > G) genotypes at SNPs site on CHRNA3. The difference of genotype distribution among groups was compared, and its relationship with lung cancer was also investigated. Results:There was statistical signiifcance regarding the distributions of CHRNA3 rs3743073 (T>G) genotype and allele frequencies in patients with lung cancer and healthy people (P Conclusion:The risk of developing lung cancer in patients with rs3743073G mutant genotypes of CHRNA3 gene is increased markedly, especially in those more than 60 years old, males and smoking ones.

  15. 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

    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 diff...

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

    NARCIS (Netherlands)

    Garcia-Closas, Montserrat; Couch, Fergus J.; Lindstrom, Sara; Michailidouo, 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.; Guenel, 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; Doerk, 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; Van't Veer, Laura J.; 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; Tomlins, Ian; Kerin, Michael J.; Miller, Nicola; Marme, Federick; Schneeweiss, Andreas; Sohn, Christof; Truong, Therese; Laurent-Puig, Pierre; Kerbrat, Pierre; Nordestgaard, Borge G.; Nielsen, Sune F.; Flyger, Henrik; Milne, Roger L.; Arias Perez, Jose Ignacio; Menendez, Primitiva; Mueller, Heiko; Arndt, Volker; Stegmaier, Christa; Lichtner, Peter; Lochmann, Magdalena; Justenhoven, Christina; Ko, Yon-Dschun; Muranen, Taru A.; Aittomaki, 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; Dieudonne, 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.; Labreche, France; Dumont, Martine; Yip, Cheng Har; Taib, Nur Aishah Mohd; Cheng, Ching-Yu; Shrubsole, Martha; Long, Jirong; Pylkas, 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, Peiei; Yu, Jyh-Cherng; Ashworth, Alan; Jones, Michael; Tessier, Daniel C.; Gonzalez-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; Mueller-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; Harma, 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, Francoise; 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 ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differe

  17. Polymorphism of the DNA repair gene XPA and susceptibility to lung cancer

    Institute of Scientific and Technical Information of China (English)

    Jinfu Zhu; Zhibin Hu; Hongxia Ma; Xiang Huo; Lin Xu; Jiannong Zhou; Hongbing Shen; Yijiang Chen

    2005-01-01

    Objective: To study the relationship between one polymorphism in the promoter of the DNA repair gene XPA and the susceptibility to lung cancer. Methods: Genotypes were determined by the PCR-restriction fragment length polymorphism (PCR-RFLP)method in 310 histologically-confirmed lung cancer cases and 341 age and sex frequency-matched cancer-free controls. Results: The XPA A23G genotype frequencies were 27.1% (AA), 42.9% (AG), and 30.0% (GG) in case patients and 21.1% (AA), 52.8% (AG),and 26.1% (GG) in control subjects. Multivariate logistic regression analysis revealed that individuals carrying at least one 23G variant allele (AG + GG genotypes) had a significantly decreased risk for lung cancer (adjusted OR = 0.66; 95% CI = 0.44- 0.98) compared with the wild-type genotype (23AA). Stratified analysis showed that the protective effect was more evident in subjects with a family history of cancer. Conclusion: These results suggest that the XPA A23G polymorphism may have a role in lung cancer susceptibility in this study population.

  18. Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility.

    Science.gov (United States)

    Piccolo, Stephen R; Hoffman, Laura M; Conner, Thomas; Shrestha, Gajendra; Cohen, Adam L; Marks, Jeffrey R; Neumayer, Leigh A; Agarwal, Cori A; Beckerle, Mary C; Andrulis, Irene L; Spira, Avrum E; Moos, Philip J; Buys, Saundra S; Johnson, William Evan; Bild, Andrea H

    2016-03-01

    The signaling events that drive familial breast cancer (FBC) risk remain poorly understood. While the majority of genomic studies have focused on genetic risk variants, known risk variants account for at most 30% of FBC cases. Considering that multiple genes may influence FBC risk, we hypothesized that a pathway-based strategy examining different data types from multiple tissues could elucidate the biological basis for FBC. In this study, we performed integrated analyses of gene expression and exome-sequencing data from peripheral blood mononuclear cells and showed that cell adhesion pathways are significantly and consistently dysregulated in women who develop FBC. The dysregulation of cell adhesion pathways in high-risk women was also identified by pathway-based profiling applied to normal breast tissue data from two independent cohorts. The results of our genomic analyses were validated in normal primary mammary epithelial cells from high-risk and control women, using cell-based functional assays, drug-response assays, fluorescence microscopy, and Western blotting assays. Both genomic and cell-based experiments indicate that cell-cell and cell-extracellular matrix adhesion processes seem to be disrupted in non-malignant cells of women at high risk for FBC and suggest a potential role for these processes in FBC development. PMID:26969729

  19. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Mulligan, Anna Marie; Couch, Fergus J; Barrowdale, Daniel;

    2011-01-01

    ABSTRACT: INTRODUCTION: Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtype...

  20. Integrating Genetic Association, Genetics of Gene Expression, and Single Nucleotide Polymorphism Set Analysis to Identify Susceptibility Loci for Type 2 Diabetes Mellitus

    OpenAIRE

    Greenawalt, Danielle M.; Sieberts, Solveig K.; Cornelis, Marilyn C; Girman, Cynthia J.; Zhong, Hua; Yang, Xia; Guinney, Justin; Qi, Lu; Hu, Frank B.

    2012-01-01

    Large-scale genome-wide association studies (GWAS) have identified over 40 genomic regions significantly associated with type 2 diabetes mellitus. However, GWAS results are not always straightforward to interpret, and linking these loci to meaningful disease etiology is often difficult without extensive follow-up studies. The authors expanded on previously reported type 2 diabetes mellitus GWAS from the nested case-control studies of 2 prospective US cohorts by incorporating expression single...

  1. Common alleles in candidate susceptibility genes associated with risk and development of epithelial ovarian cancer

    DEFF Research Database (Denmark)

    Notaridou, Maria; Quaye, Lydia; Dafou, Dimitra;

    2011-01-01

    ; AIFM2, AKTIP, AXIN2, CASP5, FILIP1L, RBBP8, RGC32, RUVBL1 and STAG3. Sixty-three tagging single nucleotide polymorphisms (tSNPs) in these genes were genotyped in 1,799 invasive ovarian cancer cases and 3,045 controls to look for associations with disease risk. Two SNPs in RUVBL1, rs13063604 and rs...... and 6,031 controls from ten sites from the United States, Europe and Australia; however, neither SNP was significant in Stage 2. We also evaluated the potential role of tSNPs in these nine genes in ovarian cancer development by testing for allele-specific loss of heterozygosity (LOH) in 286 primary......Common germline genetic variation in the population is associated with susceptibility to epithelial ovarian cancer. Microcell-mediated chromosome transfer and expression microarray analysis identified nine genes associated with functional suppression of tumorogenicity in ovarian cancer cell lines...

  2. Genetic variation in telomere maintenance genes, telomere length, and lung cancer susceptibility.

    Science.gov (United States)

    Hosgood, H Dean; Cawthon, Richard; He, Xingzhou; Chanock, Stephen; Lan, Qing

    2009-11-01

    Telomeres are responsible for the protection of the chromosome ends and shortened telomere length has been associated with risk of multiple cancers. Genetic variation in telomere-related genes may alter cancer risk associated with telomere length. Using lung cancer cases (n=120) and population-based controls (n=110) from Xuanwei, China, we analyzed telomere length separately and in conjunction with single nucleotide polymorphisms in the telomere maintenance genes POT1, TERT, and TERF2, which we have previously reported were associated with risk of lung cancer in this study. POT1 rs10244817, TERT rs2075786, and TERF2 rs251796 were significantly associated with lung cancer (p(trend)telomere length was not significantly associated with risk of lung cancer (OR=1.58; 95% CI=0.79-3.18) when compared to the longest tertile of telomere length. When stratified by genotype, there was a suggestion of a dose-response relationship between tertiles of telomere length and risk of lung cancer among the POT1 rs10244817 common variant carriers (OR (95% CI)=1.33 (0.47-3.75), 3.30 (1.14-9.56), respectively) but not among variant genotype carriers (p(interaction)=0.05). Our findings provide evidence that telomere length and genetic variation in telomere maintenance genes may be associated with risk of lung cancer susceptibility and warrant replication in larger studies.

  3. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus.

    Science.gov (United States)

    Horne, Hisani N; Chung, Charles C; Zhang, Han; Yu, Kai; Prokunina-Olsson, Ludmila; Michailidou, Kyriaki; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Hopper, John L; Southey, Melissa C; Schmidt, Marjanka K; Broeks, Annegien; Muir, Kenneth; Lophatananon, Artitaya; Fasching, Peter A; Beckmann, Matthias W; Fletcher, Olivia; Johnson, Nichola; Sawyer, Elinor J; Tomlinson, Ian; Burwinkel, Barbara; Marme, Frederik; Guénel, Pascal; Truong, Thérèse; Bojesen, Stig E; Flyger, Henrik; Benitez, Javier; González-Neira, Anna; Anton-Culver, Hoda; Neuhausen, Susan L; Brenner, Hermann; Arndt, Volker; Meindl, Alfons; Schmutzler, Rita K; Brauch, Hiltrud; Hamann, Ute; Nevanlinna, Heli; Khan, Sofia; Matsuo, Keitaro; Iwata, Hiroji; Dörk, Thilo; Bogdanova, Natalia V; Lindblom, Annika; Margolin, Sara; Mannermaa, Arto; Kosma, Veli-Matti; Chenevix-Trench, Georgia; Wu, Anna H; Ven den Berg, David; Smeets, Ann; Zhao, Hui; Chang-Claude, Jenny; Rudolph, Anja; Radice, Paolo; Barile, Monica; Couch, Fergus J; Vachon, Celine; Giles, Graham G; Milne, Roger L; Haiman, Christopher A; Marchand, Loic Le; Goldberg, Mark S; Teo, Soo H; Taib, Nur A M; Kristensen, Vessela; Borresen-Dale, Anne-Lise; Zheng, Wei; Shrubsole, Martha; Winqvist, Robert; Jukkola-Vuorinen, Arja; Andrulis, Irene L; Knight, Julia A; Devilee, Peter; Seynaeve, Caroline; García-Closas, Montserrat; Czene, Kamila; Darabi, Hatef; Hollestelle, Antoinette; Martens, John W M; Li, Jingmei; Lu, Wei; Shu, Xiao-Ou; Cox, Angela; Cross, Simon S; Blot, William; Cai, Qiuyin; Shah, Mitul; Luccarini, Craig; Baynes, Caroline; Harrington, Patricia; Kang, Daehee; Choi, Ji-Yeob; Hartman, Mikael; Chia, Kee Seng; Kabisch, Maria; Torres, Diana; Jakubowska, Anna; Lubinski, Jan; Sangrajrang, Suleeporn; Brennan, Paul; Slager, Susan; Yannoukakos, Drakoulis; Shen, Chen-Yang; Hou, Ming-Feng; Swerdlow, Anthony; Orr, Nick; Simard, Jacques; Hall, Per; Pharoah, Paul D P; Easton, Douglas F; Chanock, Stephen J; Dunning, Alison M; Figueroa, Jonine D

    2016-01-01

    The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P≤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive.

  4. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus

    Science.gov (United States)

    Horne, Hisani N.; Chung, Charles C.; Zhang, Han; Yu, Kai; Prokunina-Olsson, Ludmila; Michailidou, Kyriaki; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Hopper, John L.; Southey, Melissa C.; Schmidt, Marjanka K.; Broeks, Annegien; Muir, Kenneth; Lophatananon, Artitaya; Fasching, Peter A.; Beckmann, Matthias W.; Fletcher, Olivia; Johnson, Nichola; Sawyer, Elinor J.; Tomlinson, Ian; Burwinkel, Barbara; Marme, Frederik; Guénel, Pascal; Truong, Thérèse; Bojesen, Stig E.; Flyger, Henrik; Benitez, Javier; González-Neira, Anna; Anton-Culver, Hoda; Neuhausen, Susan L.; Brenner, Hermann; Arndt, Volker; Meindl, Alfons; Schmutzler, Rita K.; Brauch, Hiltrud; Hamann, Ute; Nevanlinna, Heli; Khan, Sofia; Matsuo, Keitaro; Iwata, Hiroji; Dörk, Thilo; Bogdanova, Natalia V.; Lindblom, Annika; Margolin, Sara; Mannermaa, Arto; Kosma, Veli-Matti; Chenevix-Trench, Georgia; Wu, Anna H.; ven den Berg, David; Smeets, Ann; Zhao, Hui; Chang-Claude, Jenny; Rudolph, Anja; Radice, Paolo; Barile, Monica; Couch, Fergus J.; Vachon, Celine; Giles, Graham G.; Milne, Roger L.; Haiman, Christopher A.; Marchand, Loic Le; Goldberg, Mark S.; Teo, Soo H.; Taib, Nur A. M.; Kristensen, Vessela; Borresen-Dale, Anne-Lise; Zheng, Wei; Shrubsole, Martha; Winqvist, Robert; Jukkola-Vuorinen, Arja; Andrulis, Irene L.; Knight, Julia A.; Devilee, Peter; Seynaeve, Caroline; García-Closas, Montserrat; Czene, Kamila; Darabi, Hatef; Hollestelle, Antoinette; Martens, John W. M.; Li, Jingmei; Lu, Wei; Shu, Xiao-Ou; Cox, Angela; Cross, Simon S.; Blot, William; Cai, Qiuyin; Shah, Mitul; Luccarini, Craig; Baynes, Caroline; Harrington, Patricia; Kang, Daehee; Choi, Ji-Yeob; Hartman, Mikael; Chia, Kee Seng; Kabisch, Maria; Torres, Diana; Jakubowska, Anna; Lubinski, Jan; Sangrajrang, Suleeporn; Brennan, Paul; Slager, Susan; Yannoukakos, Drakoulis; Shen, Chen-Yang; Hou, Ming-Feng; Swerdlow, Anthony; Orr, Nick; Simard, Jacques; Hall, Per; Pharoah, Paul D. P.

    2016-01-01

    The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799–121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000–120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08–1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P≤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive. PMID:27556229

  5. Mutations in BRCA1 and BRCA2 in breast cancer families: Are there more breast cancer-susceptibility genes?

    Energy Technology Data Exchange (ETDEWEB)

    Serova, O.M.; Mazoyer, S.; Putet, N. [CNRS, Lyon (France)] [and others

    1997-03-01

    To estimate the proportion of breast cancer families due to BRCA1 or BRCA2, we performed mutation screening of the entire coding regions of both genes supplemented with linkage analysis of 31 families, 8 containing male breast cancers and 23 site-specific female breast cancer. A combination of protein-truncation test and SSCP or heteroduplex analyses was used for mutation screening complemented, where possible, by the analysis of expression level of BRCA1 and BRCA2 alleles. Six of the eight families with male breast cancer revealed frameshift mutations, two in BRCA1 and four in BRCA2. Although most families with female site-specific breast cancers were thought to be due to mutations in either BRCA1 or BRCA2, we identified only eight mutations in our series of 23 site-specific female breast cancer families (34%), four in BRCA1 and four in BRCA2. According to the posterior probabilities calculated for mutation-negative families, based on linkage data and mutation screening results, we would expect 8-10 site-specific female breast cancer families of our series to be due to neither BRCA1 nor BRCA2. Thus, our results suggest the existence of at least one more major breast cancer-susceptibility gene. 24 refs., 1 fig., 3 tabs.

  6. Association of common variants in mismatch repair genes and breast cancer susceptibility: a multigene study

    Directory of Open Access Journals (Sweden)

    Pina Julieta

    2009-09-01

    Full Text Available Abstract Background MMR is responsible for the repair of base-base mismatches and insertion/deletion loops. Besides this, MMR is also associated with an anti-recombination function, suppressing homologous recombination. Losses of heterozygosity and/or microsatellite instability have been detected in a large number of skin samples from breast cancer patients, suggesting a potential role of MMR in breast cancer susceptibility. Methods We carried out a hospital-based case-control study in a Caucasian Portuguese population (287 cases and 547 controls to estimate the susceptibility to non-familial breast cancer associated with some polymorphisms in mismatch repair genes (MSH3, MSH4, MSH6, MLH1, MLH3, PMS1 and MUTYH. Results Using unconditional logistic regression we found that MLH3 (L844P, G>A polymorphism GA (Leu/Pro and AA (Pro/Pro genotypes were associated with a decreased risk: OR = 0.65 (0.45-0.95 (p = 0.03 and OR = 0.62 (0.41-0.94 (p = 0.03, respectively. Analysis of two-way SNP interaction effects on breast cancer revealed two potential associations to breast cancer susceptibility: MSH3 Ala1045Thr/MSH6 Gly39Glu - AA/TC [OR = 0.43 (0.21-0.83, p = 0.01] associated with a decreased risk; and MSH4 Ala97Thr/MLH3 Leu844Pro - AG/AA [OR = 2.35 (1.23-4.49, p = 0.01], GG/AA [OR = 2.11 (1.12-3,98, p = 0.02], and GG/AG [adjusted OR = 1.88 (1.12-3.15, p = 0.02] all associated with an increased risk for breast cancer. Conclusion It is possible that some of these common variants in MMR genes contribute significantly to breast cancer susceptibility. However, further studies with a large sample size will be needed to support our results.

  7. Polymorphisms in the XPC gene and gastric cancer susceptibility in a Southern Chinese population

    Directory of Open Access Journals (Sweden)

    Hua RX

    2016-09-01

    Full Text Available Rui-Xi Hua,1,2,* Zhen-Jian Zhuo,3,* Guo-Ping Shen,1 Jinhong Zhu,4 Shao-Dan Zhang,1 Wen-Qiong Xue,1 Xi-Zhao Li,1 Pei-Fen Zhang,1 Jing He,1,5 Wei-Hua Jia1 1Department of Experimental Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 2Department of Oncology, The First Affiliated Hospital of Sun Yat-sen University, 3Department of Traditional Chinese Medicine Research, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, College of Pharmacy, Jinan University, Guangdong, 4Department of Laboratory Medicine and Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Heilongjiang, 5Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong, People’s Republic of China *These authors contributed equally to this work Abstract: Previous studies have reported that XPC gene polymorphisms may modify the individual susceptibility to gastric cancer. In this case–control study with a total of 1,142 cases and 1,173 controls, four potentially functional polymorphisms were genotyped in the XPC gene (rs2228001 A>C, rs2228000 C>T, rs2607775 C>G, and rs1870134 G>C by Taqman assays and their associations were analyzed with the risk of gastric cancer in a Southern Chinese population. No significant association between any of XPC polymorphisms and gastric cancer risk was detected except for a borderline association with the rs2228000 CT/TT genotype (crude odds ratio =0.86, 95% confidence interval =0.73–1.02, P=0.088 when compared to the rs2228000 CC genotype. Further stratified analysis revealed that the protective effect of rs2228000 CT/TT on the risk of gastric cancer was only significant among subjects older than 58 years. In summary, results indicated that genetic variations in XPC gene may play a

  8. CHRNA5 polymorphism and susceptibility to lung cancer in a Chinese population

    International Nuclear Information System (INIS)

    Polymorphisms in the nicotinic acetylcholine receptor subunit CHRNA5 gene have been associated with lung cancer positive susceptibility in European and American populations. In the present hospital-based, case-control study, we determined whether polymorphism in rs503464 of CHRNA5 is associated with lung cancer risk in Chinese individuals. A single nucleotide polymorphism in CHRNA5 rs503464, c.-166T>A (hereafter T>A), was identified using TaqMan-MGB probes with sequencing via PCR in 600 lung cancer cases and 600 healthy individuals. Genotype frequencies for rs503464 (T>A) were in Hardy-Weinberg equilibrium for the control population. However, genotype frequencies were significantly different between cases and controls (P < 0.05), while allele frequencies were not significantly different between groups. Compared to homozygous genotypes (TT or AA), the risk of lung cancer in those with the heterozygous genotype (TA) was significantly lower (OR = 0.611, 95%CI = 0.486-0.768, P = 0.001). Using genotype AA as a reference, the risk of lung cancer for those with genotype TA was increased 1.5 times (OR = 1.496, 95%CI = 1.120-1.997, P = 0.006). However, no difference in risk was observed between T allele carriers and A allele carriers (OR = 0.914, 95%CI = 0.779-1.073, P = 0.270). Stratification analysis showed that the protective effect of TA was more pronounced in those younger than 60 years, nonsmokers, or those without a family history of cancer, as well as in patients with adenocarcinoma or squamous cell carcinoma in clinical stages III or IV (P < 0.05). Therefore, the heterozygous genotype c.-166T>A at rs503464 of CHRNA5 may be associated with reduced risk of lung cancer, thus representing a susceptibility allele in Chinese individuals

  9. CHRNA5 polymorphism and susceptibility to lung cancer in a Chinese population

    Energy Technology Data Exchange (ETDEWEB)

    Shen, Bo [Jiangsu Cancer Hospital, Department of Medical Oncology, Nanjing, Jiangsu Province (China); Zhu, Qun [Second Affiliated Hospital, Nanjing Medical University, Department of Endocrinology, Nanjing, Jiangsu Province (China); Zheng, Ma-Qing [College of Pharmacy, Nanjing University of Technology, Nanjing, Jiangsu Province (China); Chen, Jia; Shi, Mei-Qi; Feng, Ji-Feng [Jiangsu Cancer Hospital, Department of Medical Oncology, Nanjing, Jiangsu Province (China)

    2013-01-11

    Polymorphisms in the nicotinic acetylcholine receptor subunit CHRNA5 gene have been associated with lung cancer positive susceptibility in European and American populations. In the present hospital-based, case-control study, we determined whether polymorphism in rs503464 of CHRNA5 is associated with lung cancer risk in Chinese individuals. A single nucleotide polymorphism in CHRNA5 rs503464, c.-166T>A (hereafter T>A), was identified using TaqMan-MGB probes with sequencing via PCR in 600 lung cancer cases and 600 healthy individuals. Genotype frequencies for rs503464 (T>A) were in Hardy-Weinberg equilibrium for the control population. However, genotype frequencies were significantly different between cases and controls (P < 0.05), while allele frequencies were not significantly different between groups. Compared to homozygous genotypes (TT or AA), the risk of lung cancer in those with the heterozygous genotype (TA) was significantly lower (OR = 0.611, 95%CI = 0.486-0.768, P = 0.001). Using genotype AA as a reference, the risk of lung cancer for those with genotype TA was increased 1.5 times (OR = 1.496, 95%CI = 1.120-1.997, P = 0.006). However, no difference in risk was observed between T allele carriers and A allele carriers (OR = 0.914, 95%CI = 0.779-1.073, P = 0.270). Stratification analysis showed that the protective effect of TA was more pronounced in those younger than 60 years, nonsmokers, or those without a family history of cancer, as well as in patients with adenocarcinoma or squamous cell carcinoma in clinical stages III or IV (P < 0.05). Therefore, the heterozygous genotype c.-166T>A at rs503464 of CHRNA5 may be associated with reduced risk of lung cancer, thus representing a susceptibility allele in Chinese individuals.

  10. P2X7 receptor-deficient mice are susceptible to bone cancer pain

    DEFF Research Database (Denmark)

    Hansen, Rikke Rie; Nielsen, Christian K.; Nasser, Arafat;

    2011-01-01

    The purinergic P2X7 receptor is implicated in both neuropathic and inflammatory pain, and has been suggested as a possible target in pain treatment. However, the specific role of the P2X7 receptor in bone cancer pain is unknown. We demonstrated that BALB/cJ P2X7 receptor knockout (P2X7R KO) mice...... were susceptible to bone cancer pain and moreover had an earlier onset of pain-related behaviours compared with cancer-bearing, wild-type mice. Furthermore, acute treatment with the selective P2X7 receptor antagonist, A-438079, failed to alleviate pain-related behaviours in models of bone cancer pain...... with and without astrocyte activation (BALB/cJ or C3H mice inoculated with 4T1 mammary cancer cells or NCTC 2472 osteosarcoma cells, respectively), suggesting that astrocytic P2X7 receptors play a negligible role in bone cancer pain. The results support the hypothesis that bone cancer pain is a separate pain state...

  11. 9q31.2-rs865686 as a susceptibility locus for estrogen receptor-positive breast cancer: Evidence from the Breast Cancer Association Consortium

    NARCIS (Netherlands)

    H. Warren (Helen); F. Dudbridge (Frank); O. Fletcher (Olivia); N. Orr (Nick); N. Johnson (Nichola); J.L. Hopper (John); C. Apicella (Carmel); M.C. Southey (Melissa); M. Mahmoodi (Maryam); M.K. Schmidt (Marjanka); A. Broeks (Annegien); S. Cornelissen (Sten); L.M. Braaf (Linde); K.R. Muir (Kenneth); A. Lophatananon (Artitaya); A. Chaiwerawattana (Arkom); S. Wiangnon (Surapon); P.A. Fasching (Peter); M.W. Beckmann (Matthias); A.B. Ekici (Arif); R. Schulz-Wendtland (Rüdiger); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); B. Burwinkel (Barbara); F. Marme (Federick); A. Schneeweiss (Andreas); C. Sohn (Christof); P. Guénel (Pascal); T. Truong (Thérèse); P. Laurent-Puig (Pierre); C. Mulot (Claire); S.E. Bojesen (Stig); S.F. Nielsen (Sune); H. Flyger (Henrik); B.G. Nordestgaard (Børge); R.L. Milne (Roger); J. Benítez (Javier); J.I. Arias Pérez (José Ignacio); M.P. Zamora (Pilar); H. Anton-Culver (Hoda); A. Ziogas (Argyrios); L. Bernstein (Leslie); C.C. Dur (Christina Clarke); H. Brenner (Hermann); H. Müller (Heike); V. Arndt (Volker); A. Langheinz (Anne); A. Meindl (Alfons); M. Golatta (Michael); C.R. Bartram (Claus); R.K. Schmutzler (Rita); H. Brauch (Hiltrud); C. Justenhoven (Christina); T. Brüning (Thomas); J. Chang-Claude (Jenny); S. Wang-Gohrke (Shan); U. Eilber (Ursula); T. Dörk (Thilo); P. Schürmann (Peter); M. Bremer (Michael); P. Hillemanns (Peter); H. Nevanlinna (Heli); T.A. Muranen (Taru); K. Aittomäki (Kristiina); C. Blomqvist (Carl); N.V. Bogdanova (Natalia); N.N. Antonenkova (Natalia); Y.I. Rogov (Yuri); M. Bermisheva (Marina); D. Prokofyeva (Darya); G. Zinnatullina (Guzel); E.K. Khusnutdinova (Elza); A. Lindblom (Annika); S. Margolin (Sara); A. Mannermaa (Arto); V-M. Kosma (Veli-Matti); J. Hartikainen (Jaana); V. Kataja (Vesa); G. Chenevix-Trench (Georgia); J. Beesley (Jonathan); X. Chen (Xiaoqing); D. Lambrechts (Diether); A. Smeets (Ann); R. Paridaens (Robert); C. Weltens (Caroline); D. Flesch-Janys (Dieter); K. Buck (Katharina); T.W. Behrens (Timothy); P. Peterlongo (Paolo); L. Bernard (Loris); S. Manoukian (Siranoush); P. Radice (Paolo); F.J. Couch (Fergus); C. Vachon (Celine); X. Wang (Xing); J.E. Olson (Janet); G.G. Giles (Graham); L. Baglietto (Laura); C.A. McLean (Cariona); G. Severi (Gianluca); E.M. John (Esther); A. Miron (Alexander); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); I.L. Andrulis (Irene); J.A. Knight (Julia); A.M. Mulligan (Anna Marie); N. Weerasooriya (Nayana); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); J.W.M. Martens (John); C.M. Seynaeve (Caroline); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); A. Jager (Agnes); M.M.A. Tilanus-Linthorst (Madeleine); P. Hall (Per); K. Czene (Kamila); J. Liu (Jianjun); J. Li (Jingmei); A. Cox (Angela); S.S. Cross (Simon); I.W. Brock (Ian); M.W.R. Reed (Malcolm); P.D.P. Pharoah (Paul); F. Blows (Fiona); A.M. Dunning (Alison); M. Ghoussaini (Maya); A. Ashworth (Alan); A.J. Swerdlow (Anthony ); M. Jones (Marta); M. Schoemaker (Minouk); D.F. Easton (Douglas); M.K. Humphreys (Manjeet); Q. Wang (Qing); J. Peto (Julian); I. dos Santos Silva (Isabel)

    2012-01-01

    textabstractBackground: Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686). Methods: To further investigate the rs865686-breast cancer association, we conducted a replication study within the Breast Cancer Association Consortium, which

  12. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes: Findings from the Ovarian Cancer Association Consortium

    NARCIS (Netherlands)

    Johnatty, S.E.; Tyrer, J.P.; Kar, S.; Beesley, J.; Lu, Y.; Gao, B.; Fasching, P.A.; Hein, A.; Ekici, A.B.; Beckmann, M.W.; Lambrechts, D.; Nieuwenhuysen, E. Van; Vergote, I.; Lambrechts, S.; Rossing, M.A.; Doherty, J.A.; Chang-Claude, J.; Modugno, F.; Ness, R.B.; Moysich, K.B.; Levine, D.A.; Kiemeney, L.A.L.M.; Massuger, L.F.A.G.; Gronwald, J.; Lubinski, J.; Jakubowska, A.; Cybulski, C.; Brinton, L.; Lissowska, J.; Wentzensen, N.; Song, H.; Rhenius, V.; Campbell, I.; Eccles, D.; Sieh, W.; Whittemore, A.S.; McGuire, V.; Rothstein, J.H.; Sutphen, R.; Anton-Culver, H.; Ziogas, A.; Gayther, S.A.; Gentry-Maharaj, A.; Menon, U.; Ramus, S.J.; Pearce, C.L.; Pike, M.C.; Stram, D.O.; Wu, A.H.; Kupryjanczyk, J.; Dansonka-Mieszkowska, A.; Rzepecka, I.K.; Spiewankiewicz, B.; Goodman, M.T.; Wilkens, L.R.; Carney, M.E.; Thompson, P.J.; Heitz, F.; Bois, A. du; Schwaab, I.; Harter, P.; Pisterer, J.; Hillemanns, P.; Karlan, B.Y.; Walsh, C.; Lester, J.; Orsulic, S.; Winham, S.J.; Earp, M.; Larson, M.C.; Fogarty, Z.C.; Hogdall, E.; Jensen, A.; Kjaer, S.K.; Fridley, B.L.; Cunningham, J.M.; Vierkant, R.A.; Schildkraut, J.M.; Iversen, E.S.; Terry, K.L.; Cramer, D.W; Bandera, E.V.; Orlow, I.; Pejovic, T.; Bean, Y.; Hogdall, C.; Lundvall, L.; McNeish, I.; Paul, J.; Carty, K.; Siddiqui, N.; Glasspool, R.; Sellers, T.; Kennedy, C.; Chiew, Y.E.; Berchuck, A.; MacGregor, S.; Pharoah, P.D.; Goode, E.L.; Defazio, A.

    2015-01-01

    PURPOSE: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. EXPERIMENTAL DESIGN: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment for pro

  13. Relative susceptibilities of male germ cells to genetic defects induced by cancer chemotherapies

    Energy Technology Data Exchange (ETDEWEB)

    Wyrobek, A J; Schmid, T E; Marchetti, F

    2004-06-15

    Some chemotherapy regimens include agents that are mutagenic or clastogenic in model systems. This raises concerns that cancer survivors, who were treated before or during their reproductive years, may be at increased risks for abnormal reproductive outcomes. However, the available data from offspring of cancer survivors are limited, representing diverse cancers, therapies, time-to-pregnancies, and reproductive outcomes. Rodent breeding data after paternal exposures to individual chemotherapeutic agents illustrate the complexity of factors that influence the risk for transmitted genetic damage including agent, dose, endpoint, and the germ-cell susceptibility profiles that vary across agents. Direct measurements of chromosomal abnormalities in sperm of mice and humans by sperm FISH have corroborated the differences in germ-cell susceptibilities. The available evidence suggests that the risk of producing chromosomally defective sperm is highest during the first few weeks after the end of chemotherapy, and decays with time. Thus, sperm samples provided immediately after the initiation of cancer therapies may contain treatment-induced genetic defects that will jeopardize the genetic health of offspring.

  14. Toll-like receptors gene polymorphisms may confer increased susceptibility to breast cancer development.

    Science.gov (United States)

    Theodoropoulos, George E; Saridakis, Vasilios; Karantanos, Theodoros; Michalopoulos, Nikolaos V; Zagouri, Flora; Kontogianni, Panagiota; Lymperi, Maria; Gazouli, Maria; Zografos, George C

    2012-08-01

    Toll-like receptor (TLR) activation may be an important event in tumor cell immune evasion. TLR2 and TLR4 gene polymorphisms have been related to increased susceptibility to cancer development in various organs. 261 patients and 480 health individuals were investigated for genotype and allelic frequencies of a 22-bp nucleotide deletion (-196 to -174del) in the promoter of TLR2 gene as well as two polymorphisms causing amino acid substitutions (Asp299Gly and Thr399Ile) in TLR4 gene. As far as (-196 to -174del) in TLR2 gene is concerned ins/del and del/del genotypes and del allele were significantly more frequent in breast cancer patients compared to healthy controls. Considering Asp299Gly replacement of TLR4 gene, Gly carriers (Asp/Gly & Gly/Gly genotype) and Gly allele were overrepresented among the breast cancer cases. The -174 to -196del of TLR2 gene and Asp299Gly of TLR4 gene polymorphisms may confer an increased susceptibility to breast cancer development.

  15. Role of tumour necrosis factor gene polymorphisms (-308 and -238) in breast cancer susceptibility and severity

    International Nuclear Information System (INIS)

    Genetic polymorphisms in the promoter region of the tumour necrosis factor (TNF) gene can regulate gene expression and have been associated with inflammatory and malignant conditions. We have investigated two polymorphisms in the promoter of the TNF gene (-308 G>A and -238 G>A) for their role in breast cancer susceptibility and severity by means of an allelic association study. Using a case–control study design, breast cancer patients (n = 709) and appropriate age-matched and sex-matched controls obtained from the Breast Screening Unit (n = 498) were genotyped for these TNF polymorphisms, using a high-throughput allelic discrimination method. Allele frequencies for both polymorphisms were similar in both breast cancer cases and controls. However, the -308 polymorphism was found to be associated with vascular invasion in breast tumours (P = 0.024). Comparison with other standard prognostic indices did not show any association for either genotype. We demonstrated no association between the -308G>A polymorphism and the -238G>A polymorphism in the promoter region of TNF and susceptibility to breast cancer, in a large North European population. However, the -308 G>A polymorphism was found to be associated with the presence of vascular invasion in breast tumours

  16. Fine mapping of chromosome 15q25.1 lung cancer susceptibility in African-Americans.

    Science.gov (United States)

    Hansen, Helen M; Xiao, Yuanyuan; Rice, Terri; Bracci, Paige M; Wrensch, Margaret R; Sison, Jennette D; Chang, Jeffery S; Smirnov, Ivan V; Patoka, Joseph; Seldin, Michael F; Quesenberry, Charles P; Kelsey, Karl T; Wiencke, John K

    2010-09-15

    Several genome-wide association studies identified the chr15q25.1 region, which includes three nicotinic cholinergic receptor genes (CHRNA5-B4) and the cell proliferation gene (PSMA4), for its association with lung cancer risk in Caucasians. A haplotype and its tagging single nucleotide polymorphisms (SNPs) encompassing six genes from IREB2 to CHRNB4 were most strongly associated with lung cancer risk (OR = 1.3; P < 10(-20)). In order to narrow the region of association and identify potential causal variations, we performed a fine-mapping study using 77 SNPs in a 194 kb segment of the 15q25.1 region in a sample of 448 African-American lung cancer cases and 611 controls. Four regions, two SNPs and two distinct haplotypes from sliding window analyses, were associated with lung cancer. CHRNA5 rs17486278 G had OR = 1.28, 95% CI 1.07-1.54 and P = 0.008, whereas CHRNB4 rs7178270 G had OR = 0.78, 95% CI 0.66-0.94 and P = 0.008 for lung cancer risk. Lung cancer associations remained significant after pack-year adjustment. Rs7178270 decreased lung cancer risk in women but not in men; gender interaction P = 0.009. For two SNPs (rs7168796 A/G and rs7164594 A/G) upstream of PSMA4, lung cancer risks for people with haplotypes GG and AA were reduced compared with those with AG (OR = 0.56, 95% CI 0.38-0.82; P = 0.003 and OR = 0.73, 95% CI 0.59-0.90, P = 0.004, respectively). A four-SNP haplotype spanning CHRNA5 (rs11637635 C, rs17408276 T, rs16969968 G) and CHRNA3 (rs578776 G) was associated with increased lung cancer risk (P = 0.002). The identified regions contain SNPs predicted to affect gene regulation. There are multiple lung cancer risk loci in the 15q25.1 region in African-Americans. PMID:20587604

  17. Experience with breast cancer, pre-screening perceived susceptibility and the psychological impact of screening

    DEFF Research Database (Denmark)

    Absetz, Pilvikki; Aro, Arja R; Sutton, Stephen R

    2003-01-01

    This prospective study examined whether the psychological impact of organized mammography screening is influenced by women's pre-existing experience with breast cancer and perceived susceptibility (PS) to the disease. From a target population of 16,886, a random sample of women with a normal...... responded to the follow-ups. Psychological impact was measured as anxiety (STAI-S), depression (BDI), health-related concerns (IAS), and breast cancer-specific beliefs and concerns. Data was analyzed with repeated measures analyses of variance, with estimates of effect size based on Eta-squared. Women...... normal mammograms. Experience and PS did not influence responses to different screening findings. Of the finding groups, false positives experienced most adverse effects: their risk perception increased and they reported most post-screening breast cancer-specific concerns. Furthermore, they became more...

  18. Global lung cancer risk from PAH exposure highly depends on emission sources and individual susceptibility

    Science.gov (United States)

    Shen, Huizhong; Tao, Shu; Liu, Junfeng; Huang, Ye; Chen, Han; Li, Wei; Zhang, Yanyan; Chen, Yuanchen; Su, Shu; Lin, Nan; Xu, Yinyin; Li, Bengang; Wang, Xilong; Liu, Wenxin

    2014-10-01

    The health impacts of polycyclic aromatic hydrocarbons (PAHs), the most concerning organic pollutants, depend not only on the locations and strengths of emission sources, but also on individual susceptibility. Moreover, trans-boundary transport makes them a global concern. In this study, a comprehensive analysis of the global health impacts of polycyclic aromatic hydrocarbons (PAHs) in ambient air is presented. Model resolution is critical in exposure modelling. Globally, incremental lifetime lung cancer risk (ILCR) induced by ambient PAH exposure is 3.1 × 10-5. If the individual susceptibility was not taken into consideration, the overall risk would be underestimated by 55% and the proportion of highly vulnerable population would be underestimated by more than 90%. Emphasizing on individual susceptibility, our study provides an instrumental revision of current risk assessment methodology. In terms of lung cancer risk, the most important sources are combustion of biomass fuels (40%) and fossil fuels (14%) in the residential/commercial sector, coke (13%) and aluminium (12%) production, and motor vehicles (9%). PAHs can travel long distance globally especially within the Eurasian continent. Still, the risk is dominantly contributed by local.

  19. Global lung cancer risk from PAH exposure highly depends on emission sources and individual susceptibility.

    Science.gov (United States)

    Shen, Huizhong; Tao, Shu; Liu, Junfeng; Huang, Ye; Chen, Han; Li, Wei; Zhang, Yanyan; Chen, Yuanchen; Su, Shu; Lin, Nan; Xu, Yinyin; Li, Bengang; Wang, Xilong; Liu, Wenxin

    2014-01-01

    The health impacts of polycyclic aromatic hydrocarbons (PAHs), the most concerning organic pollutants, depend not only on the locations and strengths of emission sources, but also on individual susceptibility. Moreover, trans-boundary transport makes them a global concern. In this study, a comprehensive analysis of the global health impacts of polycyclic aromatic hydrocarbons (PAHs) in ambient air is presented. Model resolution is critical in exposure modelling. Globally, incremental lifetime lung cancer risk (ILCR) induced by ambient PAH exposure is 3.1 × 10(-5). If the individual susceptibility was not taken into consideration, the overall risk would be underestimated by 55% and the proportion of highly vulnerable population would be underestimated by more than 90%. Emphasizing on individual susceptibility, our study provides an instrumental revision of current risk assessment methodology. In terms of lung cancer risk, the most important sources are combustion of biomass fuels (40%) and fossil fuels (14%) in the residential/commercial sector, coke (13%) and aluminium (12%) production, and motor vehicles (9%). PAHs can travel long distance globally especially within the Eurasian continent. Still, the risk is dominantly contributed by local. PMID:25297709

  20. American Society of Clinical Oncology policy statement update: genetic testing for cancer susceptibility.

    Science.gov (United States)

    2003-06-15

    As the leading organization representing cancer specialists involved in patient care and clinical research, the American Society of Clinical Oncology (ASCO) reaffirms its commitment to integrating cancer risk assessment and management, including molecular analysis of cancer predisposition genes, into the practice of oncology and preventive medicine. The primary goal of this effort is to foster expanded access to, and continued advances in, medical care provided to patients and families affected by hereditary cancer syndromes. The 1996 ASCO Statement on Genetic Testing for Cancer Susceptibility set forth specific recommendations relating to clinical practice, research needs, educational opportunities, requirement for informed consent, indications for genetic testing, regulation of laboratories, and protection from discrimination, as well as access to and reimbursement for cancer genetics services. In updating this Statement, ASCO endorses the following principles: Indications for Genetic Testing: ASCO recommends that genetic testing be offered when 1) the individual has personal or family history features suggestive of a genetic cancer susceptibility condition, 2) the test can be adequately interpreted, and 3) the results will aid in diagnosis or influence the medical or surgical management of the patient or family members at hereditary risk of cancer. ASCO recommends that genetic testing only be done in the setting of pre- and post-test counseling, which should include discussion of possible risks and benefits of cancer early detection and prevention modalities. Special Issues in Testing Children for Cancer Susceptibility: ASCO recommends that the decision to offer testing to potentially affected children should take into account the availability of evidence-based risk-reduction strategies and the probability of developing a malignancy during childhood. Where risk-reduction strategies are available or cancer predominantly develops in childhood, ASCO believes that

  1. P2X7 receptor-deficient mice are susceptible to bone cancer pain

    DEFF Research Database (Denmark)

    Hansen, RR; Nielsen, CK; Nasser, A;

    2011-01-01

    The purinergic P2X7 receptor is implicated in both neuropathic and inflammatory pain, and has been suggested as a possible target in pain treatment. However, the specific role of the P2X7 receptor in bone cancer pain is unknown. We demonstrated that BALB/cJ P2X7 receptor knockout (P2X7R KO) mice...... were susceptible to bone cancer pain and moreover had an earlier onset of pain-related behaviours compared with cancer-bearing, wild-type mice. Furthermore, acute treatment with the selective P2X7 receptor antagonist, A-438079, failed to alleviate pain-related behaviours in models of bone cancer pain...... of the P2X7R KO mouse. Further experiments are needed to elucidate the exact role of the P2X7 receptors in bone cancer pain. Pain-related behaviours had an earlier onset in bone cancer-bearing, P2X7 receptor-deficient mice, and treatment with A-438079 failed to alleviate pain-related behaviours....

  2. The TLR4 gene polymorphisms and susceptibility to cancer: a systematic review and meta-analysis.

    Science.gov (United States)

    Zhang, Kui; Zhou, Bin; Wang, Yanyun; Rao, Li; Zhang, Lin

    2013-03-01

    Growing studies revealed the association between polymorphisms in Toll-like receptor 4 (TLR4) and susceptibility to cancer, however, the results remained inconsistent. To assess the effect of six selected SNPs (rs1927914, rs4986790, rs4986791, rs11536889, rs1927911 and rs2149356) in TLR4 on cancer, we conducted a meta-analysis, up to February 2012, 22 case-control studies were available. Summary odds ratios (OR) and corresponding 95% confidence intervals (CIs) for polymorphisms in TLR4 and cancer risk were estimated. Our meta-analysis identified that two SNPs (rs4986790 and rs4986791) in TLR4 were associated with increased cancer risk (for rs4986790: OR=1.24, 95% CI=1.01-1.52 in dominant model; OR=1.24, 95% CI=1.02-1.52 in overdominant model; for rs4986791: OR=1.81, 95% CI=1.18-2.77 in allele comparison; OR=1.79, 95% CI=1.15-2.80 in dominant model; OR=1.70, 95% CI=1.09-2.67 in overdominant model) and one SNP (rs1927911) in TLR4 was associated with decreased cancer risk (for rs1927911: OR=0.63, 95% CI=0.41-0.99 in allele comparison; OR=0.57, 95% CI=0.35-0.95 in dominant model; OR=0.67, 95% CI=0.46-0.97 in codominant model). Moreover, in terms of stratified analyses by cancer type for SNP rs4986790, significantly elevated risk was observed to be associated with G allele in gastric cancer and 'other cancers'. These findings indicate that polymorphisms in TLR4 may play a role, although modest, in cancer development.

  3. Genetic variation in the immunosuppression pathway genes and breast cancer susceptibility: a pooled analysis of 42,510 cases and 40,577 controls from the Breast Cancer Association Consortium.

    Science.gov (United States)

    Lei, Jieping; Rudolph, Anja; Moysich, Kirsten B; Behrens, Sabine; Goode, Ellen L; Bolla, Manjeet K; Dennis, Joe; Dunning, Alison M; Easton, Douglas F; Wang, Qin; Benitez, Javier; Hopper, John L; Southey, Melissa C; Schmidt, Marjanka K; Broeks, Annegien; Fasching, Peter A; Haeberle, Lothar; Peto, Julian; Dos-Santos-Silva, Isabel; Sawyer, Elinor J; Tomlinson, Ian; Burwinkel, Barbara; Marmé, Frederik; Guénel, Pascal; Truong, Thérèse; Bojesen, Stig E; Flyger, Henrik; Nielsen, Sune F; Nordestgaard, Børge G; González-Neira, Anna; Menéndez, Primitiva; Anton-Culver, Hoda; Neuhausen, Susan L; Brenner, Hermann; Arndt, Volker; Meindl, Alfons; Schmutzler, Rita K; Brauch, Hiltrud; Hamann, Ute; Nevanlinna, Heli; Fagerholm, Rainer; Dörk, Thilo; Bogdanova, Natalia V; Mannermaa, Arto; Hartikainen, Jaana M; Van Dijck, Laurien; Smeets, Ann; Flesch-Janys, Dieter; Eilber, Ursula; Radice, Paolo; Peterlongo, Paolo; Couch, Fergus J; Hallberg, Emily; Giles, Graham G; Milne, Roger L; Haiman, Christopher A; Schumacher, Fredrick; Simard, Jacques; Goldberg, Mark S; Kristensen, Vessela; Borresen-Dale, Anne-Lise; Zheng, Wei; Beeghly-Fadiel, Alicia; Winqvist, Robert; Grip, Mervi; Andrulis, Irene L; Glendon, Gord; García-Closas, Montserrat; Figueroa, Jonine; Czene, Kamila; Brand, Judith S; Darabi, Hatef; Eriksson, Mikael; Hall, Per; Li, Jingmei; Cox, Angela; Cross, Simon S; Pharoah, Paul D P; Shah, Mitul; Kabisch, Maria; Torres, Diana; Jakubowska, Anna; Lubinski, Jan; Ademuyiwa, Foluso; Ambrosone, Christine B; Swerdlow, Anthony; Jones, Michael; Chang-Claude, Jenny

    2016-01-01

    Immunosuppression plays a pivotal role in assisting tumors to evade immune destruction and promoting tumor development. We hypothesized that genetic variation in the immunosuppression pathway genes may be implicated in breast cancer tumorigenesis. We included 42,510 female breast cancer cases and 40,577 controls of European ancestry from 37 studies in the Breast Cancer Association Consortium (2015) with available genotype data for 3595 single nucleotide polymorphisms (SNPs) in 133 candidate genes. Associations between genotyped SNPs and overall breast cancer risk, and secondarily according to estrogen receptor (ER) status, were assessed using multiple logistic regression models. Gene-level associations were assessed based on principal component analysis. Gene expression analyses were conducted using RNA sequencing level 3 data from The Cancer Genome Atlas for 989 breast tumor samples and 113 matched normal tissue samples. SNP rs1905339 (A>G) in the STAT3 region was associated with an increased breast cancer risk (per allele odds ratio 1.05, 95 % confidence interval 1.03-1.08; p value = 1.4 × 10(-6)). The association did not differ significantly by ER status. On the gene level, in addition to TGFBR2 and CCND1, IL5 and GM-CSF showed the strongest associations with overall breast cancer risk (p value = 1.0 × 10(-3) and 7.0 × 10(-3), respectively). Furthermore, STAT3 and IL5 but not GM-CSF were differentially expressed between breast tumor tissue and normal tissue (p value = 2.5 × 10(-3), 4.5 × 10(-4) and 0.63, respectively). Our data provide evidence that the immunosuppression pathway genes STAT3, IL5, and GM-CSF may be novel susceptibility loci for breast cancer in women of European ancestry. PMID:26621531

  4. XPG Gene Polymorphisms Contribute to Colorectal Cancer Susceptibility: A Two-Stage Case-Control Study

    Science.gov (United States)

    Hua, Rui-Xi; Zhuo, Zhen-Jian; Zhu, Jinhong; Zhang, Shao-Dan; Xue, Wen-Qiong; Zhang, Jiang-Bo; Xu, Hong-Mei; Li, Xi-Zhao; Zhang, Pei-Fen; He, Jing; Jia, Wei-Hua

    2016-01-01

    Previous studies have reported that xeroderma pigmentosum group G (XPG) gene polymorphisms may modulate colorectal cancer (CRC) susceptibility. In this study, we performed a two-stage case-control study to comprehensively investigate the associations of five polymorphisms in the XPG gene with CRC risk in 1,901 cases and 1,976 controls from Southern China, including rs2094258 C>T, rs751402 C>T, rs2296147 T>C, rs1047768 T>C and rs873601 G>A. After combining data from two stages, we found that three of the studied polymorphisms (rs2094258 C>T, rs751402 C>T, and rs873601 G>A) were significantly associated with CRC susceptibility. After adjustment for age and gender, multivariate logistic regression analysis indicated that carriers of the rs2094258 T alleles had an increased CRC risk [CT vs. CC: adjusted odds ratio (OR)=1.17, 95% confidence interval (CI)=1.01-1.36; TT vs. CC: adjusted OR=1.49, 95% CI=1.18-1.89; TT vs. CT/CC: adjusted OR=1.38, 95% CI=1.10-1.72]. Likely, rs873601 A allele also conferred increased CRC susceptibility. In contrast, a protective association was identified between rs751402 C>T polymorphism and the risk of CRC. In summary, our results indicated that these three polymorphisms were found to associate with CRC susceptibility in a Southern Chinese population.

  5. Genetic Polymorphisms of TGFB1, TGFBR1, SNAI1 and TWIST1 Are Associated with Endometrial Cancer Susceptibility in Chinese Han Women

    Science.gov (United States)

    Yang, Li; Wang, Ya-Jun; Zheng, Li-Yuan; Jia, Yu-Mian; Chen, Yi-Lin; Chen, Lan; Liu, Dong-Ge; Li, Xiang-Hong; Guo, Hong-Yan; Sun, Ying-Li; Tian, Xin-Xia; Fang, Wei-Gang

    2016-01-01

    Endometrial cancer (EC) is a complex disease involving multiple gene-gene and gene–environment interactions. TGF-β signaling plays pivotal roles in EC development. This study aimed to investigate whether the genetic polymorphisms of TGF-β signaling related genes TGFB1, TGFBR1, SNAI1 and TWIST1 contribute to EC susceptibility. Using the TaqMan Genotyping Assay, 19 tagging-SNPs of these four genes were genotyped in 516 EC cases and 707 controls among Chinese Han women. Logistic regression (LR) showed that the genetic variants of TGFB1 rs1800469, TGFBR1 rs6478974 and rs10733710, TWIST1 rs4721745 were associated with decreased EC risk, and these four loci showed a dose-dependent effect (Ptrend menarche-first full term pregnancy intervals (˃11 years) and BMI˂24 (aOR = 0.39, 95% CI = 0.17–0.90, P = 0.0275). These results suggest that polymorphisms in TGFB1, TGFBR1, SNAI1 and TWIST1 may modulate EC susceptibility, both separately and corporately. PMID:27171242

  6. Functional Analysis of Missense Variants in the Putative Breast Cancer Susceptibility Gene XRCC2.

    Science.gov (United States)

    Hilbers, Florentine S; Luijsterburg, Martijn S; Wiegant, Wouter W; Meijers, Caro M; Völker-Albert, Moritz; Boonen, Rick A; van Asperen, Christi J; Devilee, Peter; van Attikum, Haico

    2016-09-01

    XRCC2 genetic variants have been associated with breast cancer susceptibility. However, association studies have been complicated because XRCC2 variants are extremely rare and consist mainly of amino acid substitutions whose grouping is sensitive to misclassification by the predictive algorithms. We therefore functionally characterized variants in XRCC2 by testing their ability to restore XRCC2-DNA repair deficient phenotypes using a cDNA-based complementation approach. While the protein-truncating variants p.Leu117fs, p.Arg215*, and p.Cys217* were unable to restore XRCC2 deficiency, 19 out of 23 missense variants showed no or just a minor (<25%) reduction in XRCC2 function. The remaining four (p.Cys120Tyr, p.Arg91Trp, p.Leu133Pro, and p.Ile95Leu) had a moderate effect. Overall, measured functional effects correlated poorly with those predicted by in silico analysis. After regrouping variants from published case-control studies based on the functional effect found in this study and reanalysis of the prevalence data, there was no longer evidence for an association with breast cancer. This suggests that if breast cancer susceptibility alleles of XRCC2 exist, they are likely restricted to protein-truncating variants and a minority of missense changes. Our study emphasizes the use of functional analyses of missense variants to support variant classification in association studies. PMID:27233470

  7. Bacteria causing bacteremia in pediatric cancer patients presenting with febrile neutropenia-species distribution and susceptibility patterns

    NARCIS (Netherlands)

    Miedema, Karin G. E.; Winter, Rik H. L. J.; Ammann, Roland A.; Droz, Sara; Spanjaard, Lodewijk; de Bont, Eveline S. J. M.; Kamps, Willem A.; van de Wetering, Marianne D.; Tissing, Wim J. E.

    2013-01-01

    Infections are a major cause of morbidity and mortality in pediatric cancer patients. The aim of this study was to establish the microbiological spectrum and the susceptibility patterns of bacteremia-causing bacteria in pediatric cancer patients with febrile neutropenia in relation to the use of pro

  8. Genetic and genomic analysis modeling of germline c-MYC overexpression and cancer susceptibility

    Directory of Open Access Journals (Sweden)

    Nunes Virginia

    2008-01-01

    Full Text Available Abstract Background Germline genetic variation is associated with the differential expression of many human genes. The phenotypic effects of this type of variation may be important when considering susceptibility to common genetic diseases. Three regions at 8q24 have recently been identified to independently confer risk of prostate cancer. Variation at 8q24 has also recently been associated with risk of breast and colorectal cancer. However, none of the risk variants map at or relatively close to known genes, with c-MYC mapping a few hundred kilobases distally. Results This study identifies cis-regulators of germline c-MYC expression in immortalized lymphocytes of HapMap individuals. Quantitative analysis of c-MYC expression in normal prostate tissues suggests an association between overexpression and variants in Region 1 of prostate cancer risk. Somatic c-MYC overexpression correlates with prostate cancer progression and more aggressive tumor forms, which was also a pathological variable associated with Region 1. Expression profiling analysis and modeling of transcriptional regulatory networks predicts a functional association between MYC and the prostate tumor suppressor KLF6. Analysis of MYC/Myc-driven cell transformation and tumorigenesis substantiates a model in which MYC overexpression promotes transformation by down-regulating KLF6. In this model, a feedback loop through E-cadherin down-regulation causes further transactivation of c-MYC. Conclusion This study proposes that variation at putative 8q24 cis-regulator(s of transcription can significantly alter germline c-MYC expression levels and, thus, contribute to prostate cancer susceptibility by down-regulating the prostate tumor suppressor KLF6 gene.

  9. 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

    and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants...

  10. Genome-wide analysis identifies novel loci associated with ovarian cancer outcomes: findings from the Ovarian Cancer Association Consortium

    Science.gov (United States)

    Johnatty, Sharon E.; Tyrer, Jonathan P.; Kar, Siddhartha; Beesley, Jonathan; Lu, Yi; Gao, Bo; Fasching, Peter A.; Hein, Alexander; Ekici, Arif B.; Beckmann, Matthias W.; Lambrechts, Diether; Nieuwenhuysen, Els Van; Vergote, Ignace; Lambrechts, Sandrina; Rossing, Mary Anne; Doherty, Jennifer A.; Chang-Claude, Jenny; Modugno, Francesmary; Ness, Roberta B.; Moysich, Kirsten B.; Levine, Douglas A.; Kiemeney, Lambertus A.; Massuger, Leon F.A.G.; Gronwald, Jacek; Lubiński, Jan; Jakubowska, Anna; Cybulski, Cezary; Brinton, Louise; Lissowska, Jolanta; Wentzensen, Nicolas; Song, Honglin; Rhenius, Valerie; Campbell, Ian; Eccles, Diana; Sieh, Weiva; Whittemore, Alice S.; McGuire, Valerie; Rothstein, Joseph H.; Sutphen, Rebecca; Anton-Culver, Hoda; Ziogas, Argyrios; Gayther, Simon A.; Gentry-Maharaj, Aleksandra; Menon, Usha; Ramus, Susan J.; Pearce, Celeste L; Pike, Malcolm C; Stram, Daniel O.; Wu, Anna H.; Kupryjanczyk, Jolanta; Dansonka-Mieszkowska, Agnieszka; Rzepecka, Iwona K.; Spiewankiewicz, Beata; Goodman, Marc T.; Wilkens, Lynne R.; Carney, Michael E.; Thompson, Pamela J; Heitz, Florian; du Bois, Andreas; Schwaab, Ira; Harter, Philipp; Pisterer, Jacobus; Hillemanns, Peter; Karlan, Beth Y.; Walsh, Christine; Lester, Jenny; Orsulic, Sandra; Winham, Stacey J; Earp, Madalene; Larson, Melissa C.; Fogarty, Zachary C.; Høgdall, Estrid; Jensen, Allan; Kjaer, Susanne Kruger; Fridley, Brooke L.; Cunningham, Julie M.; Vierkant, Robert A.; Schildkraut, Joellen M.; Iversen, Edwin S.; Terry, Kathryn L.; Cramer, Daniel W.; Bandera, Elisa V.; Orlow, Irene; Pejovic, Tanja; Bean, Yukie; Høgdall, Claus; Lundvall, Lene; McNeish, Ian; Paul, James; Carty, Karen; Siddiqui, Nadeem; Glasspool, Rosalind; Sellers, Thomas; Kennedy, Catherine; Chiew, Yoke-Eng; Berchuck, Andrew; MacGregor, Stuart; deFazio, Anna; Pharoah, Paul D.P.; Goode, Ellen L.; deFazio, Anna; Webb, Penelope M.; Chenevix-Trench, Georgia

    2015-01-01

    Purpose Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. Experimental Design We analyzed ~2.8 million genotyped and imputed SNPs from the iCOGS experiment for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent firstline treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥4 cycles of paclitaxel and carboplatin at standard doses. We evaluated the top SNPs in 4,434 EOC patients including patients from The Cancer Genome Atlas. Additionally we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis. Results Five SNPs were significantly associated (p≤1.0x10−5) with poorer outcomes in at least one of the four analyses, three of which, rs4910232 (11p15.3), rs2549714 (16q23) and rs6674079 (1q22) were located in long non-coding RNAs (lncRNAs) RP11–179A10.1, RP11–314O13.1 and RP11–284F21.8 respectively (p≤7.1x10−6). ENCODE ChIP-seq data at 1q22 for normal ovary shows evidence of histone modification around RP11–284F21.8, and rs6674079 is perfectly correlated with another SNP within the super-enhancer MEF2D, expression levels of which were reportedly associated with prognosis in another solid tumor. YAP1- and WWTR1 (TAZ)-stimulated gene expression, and HDL-mediated lipid transport pathways were associated with PFS and OS, respectively, in the cohort who had standard chemotherapy (pGSEA≤6x10−3). Conclusion We have identified SNPs in three lncRNAs that might be important targets for novel EOC therapies. PMID:26152742

  11. MGMT Leu84Phe polymorphism contributes to cancer susceptibility: evidence from 44 case-control studies.

    Directory of Open Access Journals (Sweden)

    Jun Liu

    Full Text Available BACKGROUND: O(6-methylguanine-DNA methyltransferase is one of the few proteins to directly remove alkylating agents in the human DNA direct reversal repair pathway. A large number of case-control studies have been conducted to explore the association between MGMT Leu84Phe polymorphism and cancer risk. However, the results were not consistent. METHODS: We carried out a meta-analysis of 44 case-control studies to clarify the association between the Leu84Phe polymorphism and cancer risk. RESULTS: Overall, significant association of the T allele with cancer susceptibility was verified with meta-analysis under a recessive genetic model (P<0.001, OR=1.30, 95%CI 1.24-1.50 and TT versus CC comparison (P=0.001, OR=1.29, 95% CI 1.12-1.50. In subgroup analysis, a significant increased risk was found for lung cancer (TT versus CC, P=0.027, OR=1.67, 95% CI 1.06-2.63; recessive genetic model, P=0.32, OR=1.64, 95% CI 1.04-2.58, whereas risk of colorectal cancer was significantly low under a dominant genetic model (P=0.019, OR=0.84, 95% CI 0.72-0.97. Additionally, a significant association between TT genetic model and total cancer risk was found in the Caucasian population (TT versus CC, P=0.014, OR=1.29, 95% CI 1.05-1.59; recessive genetic model, P=0.009, OR=1.31, 95% CI 1.07-1.61, but not in the Asian population. An increased risk for lung cancer was also verified in the Caucasian population (TT versus CC, P=0.035, OR=1.62, 95% CI 1.04-2.53; recessive genetic model, P=0.048, OR=1.57, 95% CI 1.01-2.45. CONCLUSIONS: These results suggest that MGMT Leu84Phe polymorphism might contribute to the susceptibility of certain cancers.

  12. MGMT Leu84Phe Polymorphism Contributes to Cancer Susceptibility: Evidence from 44 Case-Control Studies

    Science.gov (United States)

    Yu, Cuicui; Sun, Yan; Jia, Chuanliang; Zhang, Lijing; Salahuddin, Taufiq; Li, Xiaodong; Lang, Juntian; Song, Xicheng

    2013-01-01

    Background O6-methylguanine-DNA methyltransferase is one of the few proteins to directly remove alkylating agents in the human DNA direct reversal repair pathway. A large number of case-control studies have been conducted to explore the association between MGMT Leu84Phe polymorphism and cancer risk. However, the results were not consistent. Methods We carried out a meta-analysis of 44 case-control studies to clarify the association between the Leu84Phe polymorphism and cancer risk. Results Overall, significant association of the T allele with cancer susceptibility was verified with meta-analysis under a recessive genetic model (P<0.001, OR=1.30, 95%CI 1.24-1.50) and TT versus CC comparison (P=0.001, OR=1.29, 95% CI 1.12-1.50). In subgroup analysis, a significant increased risk was found for lung cancer (TT versus CC, P=0.027, OR=1.67, 95% CI 1.06-2.63; recessive genetic model, P=0.32, OR=1.64, 95% CI 1.04-2.58), whereas risk of colorectal cancer was significantly low under a dominant genetic model (P=0.019, OR=0.84, 95% CI 0.72-0.97). Additionally, a significant association between TT genetic model and total cancer risk was found in the Caucasian population (TT versus CC, P=0.014, OR=1.29, 95% CI 1.05-1.59; recessive genetic model, P=0.009, OR=1.31, 95% CI 1.07-1.61), but not in the Asian population. An increased risk for lung cancer was also verified in the Caucasian population (TT versus CC, P=0.035, OR=1.62, 95% CI 1.04-2.53; recessive genetic model, P=0.048, OR=1.57, 95% CI 1.01-2.45). Conclusions These results suggest that MGMT Leu84Phe polymorphism might contribute to the susceptibility of certain cancers. PMID:24086516

  13. The Relationship Between Eight GWAS-Identified Single-Nucleotide Polymorphisms and Primary Breast Cancer Outcomes

    OpenAIRE

    Bayraktar, Soley; Thompson, Patricia A.; Yoo, Suk-Young; Do, Kim-Anh; Sahin, Aysegul A.; Arun, Banu K; Bondy, Melissa L.; Brewster, Abenaa M.

    2013-01-01

    Several single-nucleotide polymorphisms (SNPs) associated with breast cancer risk have been identified through genome-wide association studies. This study investigated the association of eight risk SNPs with breast cancer disease-free survival and overall survival rates. Results suggest that two previously identified breast cancer risk susceptibility loci may influence breast cancer prognosis or comorbid conditions associated with overall survival.

  14. HapMap-based study of the DNA repair gene ERCC2 and lung cancer susceptibility in a Chinese population

    DEFF Research Database (Denmark)

    Yin, Jiaoyang; Vogel, Ulla Birgitte; Ma, Yegang;

    2009-01-01

    (NER) pathway. To elucidate whether common ERCC2 variants are associated with lung cancer susceptibility, we conducted a case–control study consisting of 339 cases with primary lung cancer and 358 controls matched on age, gender and ethnicity in a Chinese population. Six haplotype tagging single...... polymorphisms. Our results provide evidence to support a role for ERCC2 in lung cancer development in a Chinese population....

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

    DEFF Research Database (Denmark)

    Couch, Fergus J; Gerdes, Anne-Marie Axø; Nielsen, Finn Cilius;

    2013-01-01

    ), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303......, P = 1.4 × 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 × 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also...

  16. Pleiotropy of cancer susceptibility variants on the risk of non-Hodgkin lymphoma: the PAGE consortium.

    Directory of Open Access Journals (Sweden)

    Unhee Lim

    Full Text Available BACKGROUND: Risk of non-Hodgkin lymphoma (NHL is higher among individuals with a family history or a prior diagnosis of other cancers. Genome-wide association studies (GWAS have suggested that some genetic susceptibility variants are associated with multiple complex traits (pleiotropy. OBJECTIVE: We investigated whether common risk variants identified in cancer GWAS may also increase the risk of developing NHL as the first primary cancer. METHODS: As part of the Population Architecture using Genomics and Epidemiology (PAGE consortium, 113 cancer risk variants were analyzed in 1,441 NHL cases and 24,183 controls from three studies (BioVU, Multiethnic Cohort Study, Women's Health Initiative for their association with the risk of overall NHL and common subtypes [diffuse large B-cell lymphoma (DLBCL, follicular lymphoma (FL, chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL] using an additive genetic model adjusted for age, sex and ethnicity. Study-specific results for each variant were meta-analyzed across studies. RESULTS: The analysis of NHL subtype-specific GWAS SNPs and overall NHL suggested a shared genetic susceptibility between FL and DLBCL, particularly involving variants in the major histocompatibility complex region (rs6457327 in 6p21.33: FL OR=1.29, p=0.013; DLBCL OR=1.23, p=0.013; NHL OR=1.22, p=5.9 × E-05. In the pleiotropy analysis, six risk variants for other cancers were associated with NHL risk, including variants for lung (rs401681 in TERT: OR per C allele=0.89, p=3.7 × E-03; rs4975616 in TERT: OR per A allele=0.90, p=0.01; rs3131379 in MSH5: OR per T allele=1.16, p=0.03, prostate (rs7679673 in TET2: OR per C allele=0.89, p=5.7 × E-03; rs10993994 in MSMB: OR per T allele=1.09, p=0.04, and breast (rs3817198 in LSP1: OR per C allele=1.12, p=0.01 cancers, but none of these associations remained significant after multiple test correction. CONCLUSION: This study does not support strong pleiotropic effects of non

  17. A variant upstream of HLA-DRB1 and multiple variants in MICA influence susceptibility to cervical cancer in a Swedish population.

    Science.gov (United States)

    Chen, Dan; Hammer, Joanna; Lindquist, David; Idahl, Annika; Gyllensten, Ulf

    2014-02-01

    In a genome-wide association study, we have previously identified and performed the initial replication of three novel susceptibility loci for cervical cancer: rs9272143 upstream of HLA-DRB1, rs2516448 adjacent to MHC class I polypeptide-related sequence A gene (MICA), and rs3117027 at HLA-DPB2. The risk allele T of rs2516448 is in perfect linkage disequilibrium with a frameshift mutation (A5.1) in MICA exon 5, which results in a truncated protein. To validate these associations in an independent study and extend our prior work to MICA exon 5, we genotyped the single-nucleotide polymorphisms at rs9272143, rs2516448, rs3117027 and the MICA exon 5 microsatellite in a nested case-control study of 961 cervical cancer patients (827 carcinoma in situ and 134 invasive carcinoma) and 1725 controls from northern Sweden. The C allele of rs9272143 conferred protection against cervical cancer (odds ratio [OR] = 0.73, 95% confidence interval [CI] = 0.65-0.82; P = 1.6 × 10(-7)), which is associated with higher expression level of HLA-DRB1, whereas the T allele of rs2516448 increased the susceptibility to cervical cancer (OR = 1.33, 95% CI = 1.19-1.49; P = 5.8 × 10(-7)), with the same association shown with MICA-A5.1. The direction and the magnitude of these associations were consistent with our previous findings. We also identified protective effects of the MICA-A4 (OR = 0.80, 95% CI = 0.68-0.94; P = 6.7 × 10(-3)) and MICA-A5 (OR = 0.60, 95% CI = 0.50-0.72; P = 3.0 × 10(-8)) alleles. The associations with these variants are unlikely to be driven by the nearby human leukocyte antigen (HLA) alleles. No association was observed between rs3117027 and risk of cervical cancer. Our results support the role of HLA-DRB1 and MICA in the pathogenesis of cervical cancer.

  18. Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer

    OpenAIRE

    Li, Donghui; Duell, Eric J.; Yu, Kai; Risch, Harvey A.; Olson, Sara H.; Kooperberg, Charles; Wolpin, Brian M.; Jiao, Li; Dong, Xiaoqun; Wheeler, Bill; Arslan, Alan A.; Bueno-De-Mesquita, H Bas; Fuchs, Charles S; Gallinger, Steven; Gross, Myron

    2012-01-01

    Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic...

  19. Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype

    DEFF Research Database (Denmark)

    Figueroa, Jonine D; Garcia-Closas, Montserrat; Humphreys, Manjeet;

    2011-01-01

    A genome-wide association study (GWAS) identified single-nucleotide polymorphisms (SNPs) at 1p11.2 and 14q24.1 (RAD51L1) as breast cancer susceptibility loci. The initial GWAS suggested stronger effects for both loci for estrogen receptor (ER)-positive tumors. Using data from the Breast Cancer As...

  20. Polymorphisms in DNA Repair Gene XRCC3 and Susceptibility to Breast Cancer in Saudi Females

    Directory of Open Access Journals (Sweden)

    Alaa Mohammed Ali

    2016-01-01

    Full Text Available We investigated three common polymorphisms (SNPs in the XRCC3 gene (rs861539, rs1799794, and rs1799796 in 143 Saudi females suffering from breast cancer (median age = 51.4 years and 145 age matched normal healthy controls. DNA was extracted from whole blood and genotyping was conducted using PCR-RFLP. rs1799794 showed significant association, where AA and AA+AG occurred at a significantly higher frequency in the cancer patients compared to the control group (OR: 28.1; 95% CI: 3.76–21.12; χ2: 22.82; pT and rs1799796 A>G did not show a significant difference when the results in the patients and controls were compared. However, the frequency of rs1799796 differed significantly in patients with different age of diagnosis, tumor grade, and ER and HER2 status. The wild type A allele occurred at a higher frequency in the ER− and HER2− group. Our results among Saudis suggest that some variations in XRCC3 may contribute to breast cancer susceptibility. In conclusion, the results obtained during this study suggest that rs1799794 in XRCC3 shows strong association with breast cancer development in Saudi females.

  1. Rrp1b, a new candidate susceptibility gene for breast cancer progression and metastasis.

    Directory of Open Access Journals (Sweden)

    Nigel P S Crawford

    2007-11-01

    Full Text Available A novel candidate metastasis modifier, ribosomal RNA processing 1 homolog B (Rrp1b, was identified through two independent approaches. First, yeast two-hybrid, immunoprecipitation, and functional assays demonstrated a physical and functional interaction between Rrp1b and the previous identified metastasis modifier Sipa1. In parallel, using mouse and human metastasis gene expression data it was observed that extracellular matrix (ECM genes are common components of metastasis predictive signatures, suggesting that ECM genes are either important markers or causal factors in metastasis. To investigate the relationship between ECM genes and poor prognosis in breast cancer, expression quantitative trait locus analysis of polyoma middle-T transgene-induced mammary tumor was performed. ECM gene expression was found to be consistently associated with Rrp1b expression. In vitro expression of Rrp1b significantly altered ECM gene expression, tumor growth, and dissemination in metastasis assays. Furthermore, a gene signature induced by ectopic expression of Rrp1b in tumor cells predicted survival in a human breast cancer gene expression dataset. Finally, constitutional polymorphism within RRP1B was found to be significantly associated with tumor progression in two independent breast cancer cohorts. These data suggest that RRP1B may be a novel susceptibility gene for breast cancer progression and metastasis.

  2. Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: Implications for risk prediction

    NARCIS (Netherlands)

    A.C. Antoniou (Antonis); J. Beesley (Jonathan); L. McGuffog (Lesley); O. Sinilnikova (Olga); S. Healey (Sue); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); R. Rebbeck (Timothy); J.N. Weitzel (Jeffrey); H. Lynch (Henry); C. Isaacs (Claudine); P.A. Ganz (Patricia); G. Tomlinson (Gail); O.I. Olopade (Olofunmilayo); F.J. Couch (Fergus); X. Wang (Xing); N.M. Lindor (Noralane); V.S. Pankratz (Shane); P. Radice (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); D. Zaffaroni (D.); M. Barile (Monica); A. Viel (Alessandra); A. Allavena (Anna); V. Dall'Olio (Valentina); P. Peterlongo (Paolo); C. Szabo (Csilla); M. Zikan (Michal); K. Claes (Kathleen); B. Poppe (Bruce); L. Foretova (Lenka); P.L. Mai (Phuong); M.H. Greene (Mark); G. Rennert (Gad); F. Lejbkowicz (Flavio); G. Glendon (Gord); H. Ozcelik (Hilmi); I.L. Andrulis (Irene); M. Thomassen (Mads); A-M. Gerdes (Anne-Marie); L. Sunde (Lone); D. Cruger (Dorthe); U.B. Jensen; M.A. Caligo (Maria); E. Friedman (Eitan); B. Kaufman (Bella); Y. Laitman (Yael); R. Milgrom (Roni); M. Dubrovsky (Maya); S. Cohen (Shimrit); Å. Borg (Åke); H. Jernström (H.); A. Lindblom (Annika); J. Rantala (Johanna); M. Stenmark-Askmalm (M.); B. Melin (Beatrice); K.L. Nathanson (Katherine); S.M. Domchek (Susan); A. Jakubowska (Anna); J. Lubinski (Jan); T. Huzarski (Tomasz); A. Osorio (Ana); A. Lasa (Adriana); M. Durán (Mercedes); M.I. Tejada; J. Godino (Javier); J. Benitez (Javier); U. Hamann (Ute); M. Kriege (Mieke); N. Hoogerbrugge (Nicoline); R.B. van der Luijt (Rob); C.J. van Asperen (Christi); P. Devilee (Peter); E.J. Meijers-Heijboer (Hanne); M.J. Blok (Marinus); C.M. Aalfs (Cora); F.B.L. Hogervorst (Frans); M.A. Rookus (Matti); M. Cook (Margaret); C.T. Oliver (Clare); D. Frost (Debra); D. Conroy (Don); D.G. Evans (Gareth); F. Lalloo (Fiona); G. Pichert (Gabriella); R. Davidson (Rosemarie); T.J. Cole (Trevor); J. Paterson (Joan); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); M.E. Porteous (Mary); L.J. Walker (Lisa); M.J. Kennedy (John); H. Dorkins (Huw); S. Peock (Susan); A.K. Godwin (Andrew); D. Stoppa-Lyonnet (Dominique); A. de Pauw (Antoine); S. Mazoyer (Sylvie); V. Bonadona (Valérie); C. Lasset (Christine); H. Dreyfus (Hélène); D. Leroux (Dominique); A. hardouin (Agnès); P. Berthet (Pascaline); L. Faivre (Laurence); C. Loustalot (Catherine); T. Noguchi (Tetsuro); H. Sobol (Hagay); E. Rouleau (Etienne); C. Nogues (Catherine); M. Frenay (Marc); L. Vénat-Bouvet (Laurence); J. Hopper (John); M.J. Daly (Mark); M-B. Terry (Mary-beth); E.M. John (Esther); S.S. Buys (Saundra); Y. Yassin (Yosuf); A. Miron (Alexander); D. Goldgar (David); C.F. Singer (Christian); C. Dressler (Catherina); D. Gschwantler-Kaulich (Daphne); G. Pfeiler (Georg); T.V.O. Hansen (Thomas); L. Jnson (Lars); B.A. Agnarsson (Bjarni); T. Kircchoff (Tomas); K. Offit (Kenneth); V. Devlin (Vincent); A. Dutra-Clarke (Ana); M. Piedmonte (Marion); G.C. Rodriguez (Gustavo); K. Wakeley (Katie); J.F. Boggess (John); J. Basil (Jack); P.E. Schwartz (Peter); S.V. Blank (Stephanie); A.E. Toland (Amanda); M. Montagna (Marco); C. Casella (Cinzia); E.N. Imyanitov (Evgeny); L. Tihomirova (Laima); I. Blanco (Ignacio); C. Lazaro (Conxi); S.J. Ramus (Susan); L. Sucheston (Lara); B.Y. Karlan (Beth); J. Gross (Jenny); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); C. Engel (Christoph); A. Meindl (Alfons); M. Lochmann (Magdalena); N. Arnold (Norbert); S. Heidemann (Simone); R. Varon-Mateeva (Raymonda); D. Niederacher (Dieter); C. Sutter (Christian); H. Deissler (Helmut); D. Gadzicki (Dorothea); S. Preisler-Adams (Sabine); K. Kast (Karin); I. Schönbuchner (Ines); T. Caldes (Trinidad); M. de La Hoya (Miguel); K. Aittomäki (Kristiina); H. Nevanlinna (Heli); J. Simard (Jacques); A.B. Spurdle (Amanda); H. Holland (Helene); G. Chenevix-Trench (Georgia); R. Platte (Radka); D.F. Easton (Douglas)

    2010-01-01

    textabstractThe known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10,

  3. Common Breast Cancer Susceptibility Alleles and the Risk of Breast Cancer for BRCA1 and BRCA2 Mutation Carriers : Implications for Risk Prediction

    NARCIS (Netherlands)

    Antoniou, Antonis C.; Beesley, Jonathan; McGuffog, Lesley; Sinilnikova, Olga M.; Healey, Sue; Neuhausen, Susan L.; Ding, Yuan Chun; Rebbeck, Timothy R.; Weitzel, Jeffrey N.; Lynch, Henry T.; Isaacs, Claudine; Ganz, Patricia A.; Tomlinson, Gail; Olopade, Olufunmilayo I.; Couch, Fergus J.; Wang, Xianshu; Lindor, Noralane M.; Pankratz, Vernon S.; Radice, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Barile, Monica; Viel, Alessandra; Allavena, Anna; Dall'Olio, Valentina; Peterlongo, Paolo; Szabo, Csilla I.; Zikan, Michal; Claes, Kathleen; Poppe, Bruce; Foretova, Lenka; Mai, Phuong L.; Greene, Mark H.; Rennert, Gad; Lejbkowicz, Flavio; Glendon, Gord; Ozcelik, Hilmi; Andrulis, Irene L.; Thomassen, Mads; Gerdes, Anne-Marie; Sunde, Lone; Cruger, Dorthe; Jensen, Uffe Birk; Caligo, Maria; Friedman, Eitan; Kaufman, Bella; Laitman, Yael; Milgrom, Roni; Dubrovsky, Maya; Cohen, Shimrit; Borg, Ake; Jernstroem, Helena; Lindblom, Annika; Rantala, Johanna; Stenmark-Askmalm, Marie; Melin, Beatrice; Nathanson, Kate; Domchek, Susan; Jakubowska, Ania; Lubinski, Jan; Huzarski, Tomasz; Osorio, Ana; Lasa, Adriana; Duran, Mercedes; Tejada, Maria-Isabel; Godino, Javier; Benitez, Javier; Hamann, Ute; Kriege, Mieke; Hoogerbrugge, Nicoline; van der Luijt, Rob B.; van Asperen, Christi J.; Devilee, Peter; Meijers-Heijboer, E. J.; Blok, Marinus J.; Aalfs, Cora M.; Hogervorst, Frans; Rookus, Matti; Cook, Margaret; Oliver, Clare; Frost, Debra; Conroy, Don; Evans, D. Gareth; Lalloo, Fiona; Pichert, Gabriella; Davidson, Rosemarie; Cole, Trevor; Cook, Jackie; Paterson, Joan; Hodgson, Shirley; Morrison, Patrick J.; Porteous, Mary E.; Walker, Lisa; Kennedy, M. John; Dorkins, Huw; Peock, Susan; Godwin, Andrew K.; Stoppa-Lyonnet, Dominique; de Pauw, Antoine; Mazoyer, Sylvie; Bonadona, Valerie; Lasset, Christine; Dreyfus, Helene; Leroux, Dominique; Hardouin, Agnes; Berthet, Pascaline; Faivre, Laurence; Loustalot, Catherine; Noguchi, Tetsuro; Sobol, Hagay; Rouleau, Etienne; Nogues, Catherine; Frenay, Marc; Venat-Bouvet, Laurence; Hopper, John L.; Daly, Mary B.; Terry, Mary B.; John, Esther M.; Buys, Saundra S.; Yassin, Yosuf; Miron, Alexander; Goldgar, David; Singer, Christian F.; Dressler, Anne Catharina; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; Hansen, Thomas V. O.; Jnson, Lars; Agnarsson, Bjarni A.; Kirchhoff, Tomas; Offit, Kenneth; Devlin, Vincent; Dutra-Clarke, Ana; Piedmonte, Marion; Rodriguez, Gustavo C.; Wakeley, Katie; Boggess, John F.; Basil, Jack; Schwartz, Peter E.; Blank, Stephanie V.; Toland, Amanda Ewart; Montagna, Marco; Casella, Cinzia; Imyanitov, Evgeny; Tihomirova, Laima; Blanco, Ignacio; Lazaro, Conxi; Ramus, Susan J.; Sucheston, Lara; Karlan, Beth Y.; Gross, Jenny; Schmutzler, Rita; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Lochmann, Magdalena; Arnold, Norbert; Heidemann, Simone; Varon-Mateeva, Raymonda; Niederacher, Dieter; Sutter, Christian; Deissler, Helmut; Gadzicki, Dorothea; Preisler-Adams, Sabine; Kast, Karin; Schoenbuchner, Ines; Caldes, Trinidad; de la Hoya, Miguel; Aittomaeki, Kristiina; Nevanlinna, Heli; Simard, Jacques; Spurdle, Amanda B.; Holland, Helene; Chen, Xiaoqing; Platte, Radka; Chenevix-Trench, Georgia; Easton, Douglas F.

    2010-01-01

    The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs6504950 i

  4. Common Breast Cancer Susceptibility Alleles and the Risk of Breast Cancer for BRCA1 and BRCA2 Mutation Carriers: Implications for Risk Prediction

    NARCIS (Netherlands)

    A.C. Antoniou; J. Beesley; L. McGuffog; O.M. Sinilnikova; S. Healey; S.L. Neuhausen; Y.C. Ding; T.R. Rebbeck; J.N. Weitzel; H.T. Lynch; C. Isaacs; P.A. Ganz; G. Tomlinson; O.I. Olopade; F.J. Couch; X. Wang; N.M. Lindor; V.S. Pankratz; P. Radice; S. Manoukian; B. Peissel; D. Zaffaroni; M. Barile; A. Viel; A. Allavena; V. Dall'olio; P. Peterlongo; C.I. Szabo; M. Zikan; K. Claes; B. Poppe; L. Foretova; P.L. Mai; M.H. Greene; G. Rennert; F. Lejbkowicz; G. Glendon; H. Ozcelik; I.L. Andrulis; M. Thomassen; A.M. Gerdes; L. Sunde; D. Cruger; M. Caligo; E. Friedman; B. Kaufman; Y. Laitman; R. Milgrom; M. Dubrovsky; S. Cohen; A. Borg; H. Jernström; A. Lindblom; J. Rantala; M. Stenmark-Askmalm; B. Melin; K. Nathanson; S. Domchek; A. Jakubowska; J. Lubinski; T. Huzarski; A. Osorio; A. Lasa; M. Durán; M.I. Tejada; J. Godino; J. Benitez; U. Hamann; M. Kriege; N. Hoogerbrugge; R.B. van der Luijt; C.J. van Asperen; P. Devilee; E.J. Meijers-Heijboer; M.J. Blok; C.M. Aalfs; F. Hogervorst; M. Rookus; M. Cook; C. Oliver; D. Frost; D. Conroy; D.G. Evans; F. Lalloo; G. Pichert; R. Davidson; T. Cole; J. Cook; J. Paterson; S. Hodgson; P.J. Morrison; M.E. Porteous; L. Walker; M.J. Kennedy; H. Dorkins; S. Peock; A.K. Godwin; D. Stoppa-Lyonnet

    2010-01-01

    The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs6504950 i

  5. Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: implications for risk prediction

    DEFF Research Database (Denmark)

    Antoniou, Antonis C; Beesley, Jonathan; McGuffog, Lesley;

    2010-01-01

    The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs650495...

  6. Variants of MUC5B minisatellites and the susceptibility of bladder cancer.

    Science.gov (United States)

    Ahn, Eun-Kyung; Kim, Wun-Jae; Kwon, Jeong-Ah; Choi, Phil-Jo; Kim, Woo Jin; Sunwoo, Yangil; Heo, Jeonghoon; Leem, Sun-Hee

    2009-04-01

    The human MUC5B gene, which is primarily expressed in the tracheobronchial tract, is clustered to chromosome 11p15.5 with three other secreted gel-forming mucins, MUC6, MUC2, and MUC5AC. In this study, we identified seven variable number of tandem repeats (VNTRs; minisatellites) from the entire MUC5B region. Six (MUC5B-MS1, -MS2, -MS3, -MS4, -MS5, and -MS7) of the seven minisatellites evaluated in this study were novel minisatellites, but the MUC5B-MS6 minisatellite was described in a previous study. These minisatellites of MUC5B were analyzed in genomic DNA extracted from controls, cancer patients, and multigenerational families. Three (MUC5B-MS3, -MS6, and -MS7) of the seven minisatellites were found to be polymorphic and transmitted through meiosis following Mendelian inheritance in seven families; therefore, these minisatellite polymorphisms could be useful as markers for paternity mapping and DNA fingerprinting. In addition, we evaluated allelic variation in these minisatellites to determine if such variation affected the susceptibility to various carcinomas. To accomplish this, we conducted a case-control study in which the genomic DNA of 789 cancer-free controls and cancer patients with five types of cancer were compared. A statistically significant association between the long rare MUC5B-MS6 alleles and the occurrence of bladder cancer was identified in the younger group (<60; odds ratio, 4.54; 95% confidence interval, 1.0-20.7; p=0.03). This observation suggests that the long rare MUC5B-MS6 alleles evaluated in this study could be used to identify the risk of bladder cancer. PMID:19191526

  7. Association of Environmental Arsenic Exposure, Genetic Polymorphisms of Susceptible Genes, and Skin Cancers in Taiwan

    Directory of Open Access Journals (Sweden)

    Ling-I Hsu

    2015-01-01

    Full Text Available Deficiency in the capability of xenobiotic detoxification and arsenic methylation may be correlated with individual susceptibility to arsenic-related skin cancers. We hypothesized that glutathione S-transferase (GST M1, T1, and P1, reactive oxygen species (ROS related metabolic genes (NQO1, EPHX1, and HO-1, and DNA repair genes (XRCC1, XPD, hOGG1, and ATM together may play a role in arsenic-induced skin carcinogenesis. We conducted a case-control study consisting of 70 pathologically confirmed skin cancer patients and 210 age and gender matched participants with genotyping of 12 selected polymorphisms. The skin cancer risks were estimated by odds ratio (OR and 95% confidence interval (CI using logistic regression. EPHX1 Tyr113His, XPD C156A, and GSTT1 null genotypes were associated with skin cancer risk (OR = 2.99, 95% CI = 1.01–8.83; OR = 2.04, 95% CI = 0.99–4.27; OR = 1.74, 95% CI = 1.00–3.02, resp.. However, none of these polymorphisms showed significant association after considering arsenic exposure status. Individuals carrying three risk polymorphisms of EPHX1 Tyr113His, XPD C156A, and GSTs presented a 400% increased skin cancer risk when compared to those with less than or equal to one polymorphism. In conclusion, GSTs, EPHX1, and XPD are potential genetic factors for arsenic-induced skin cancers. The roles of these genes for arsenic-induced skin carcinogenesis need to be further evaluated.

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

    DEFF Research Database (Denmark)

    Leu, Costin; de Kovel, Carolien G F; Zara, Federico;

    2012-01-01

    Purpose: 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...... 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....... Phenotype-genotype strategies applying narrow trait definitions in phenotypic homogeneous subgroups of families improve the prospects of disentangling the genetic basis of common familial GGE syndromes....

  9. 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.

  10. Genetic susceptibility and environmental factors of esophageal cancer in Xi'an

    Institute of Scientific and Technical Information of China (English)

    An-Hui Wang; Chang-Sheng Sun; Liang-Shou Li; Jiu-Yi Huang; Qing-Shu Chen; De-Zhong Xu

    2004-01-01

    AIM: To analyse the role of genetic susceptibility and environmental factors in the process of esophageal cancer (EC) formation in Xi'an, China.METHODS: A hospital based case-control study, combined with molecular epidemiological method, was carried out. A total of 127 EC cases and 101 controls were interviewed with questionnaires containing demographic items, habit of tobacco smoking, alcohol drinking, and family history of EC.Polymorphism of CYP1A1 and GSTM1 of 127 EC cases and 101 controls were detected by PCR method. The interactions between genetic susceptibility and environmental factors were also discussed.RESULTS: Tobacco smoking, alcohol drinking and a family history of EC were risk factors for EC with an OR of 2.04(95% CI 1.15-3.60), 3.45(95% CI 1.74-6.91), 3.14 (95%CI 1.28-7.94), respectively. Individuals carrying CYP1A1 Val/Valgenotype compared to those with CYP1A1 Ile/Ile genotype had an increased risk for EC (OR 3.35, 95% CI 1.49-7.61). GSTM1 deletion genotype was a risk factor for EC (OR1.81, 95% CI 1.03-3.18). Gene-environment interaction analysis showed that CYP1A1 Val/Valgenotype, GSTM1 deletion genotype had synergetic interactions with tobacco smoking, alcohol drinking and family history of EC.CONCLUSION: Tobacco smoking, alcohol drinking and a family history of EC are risk factors for EC. CYP1A1 Val/'Va/and GSTM1 deletion genotypes are genetic susceptibility biomarkers for EC. There are synergic interactions between genetic susceptibility and environmental factors.

  11. GSTT1 Null Genotype Significantly Increases the Susceptibility to Urinary System Cancer: Evidences from 63,876 Subjects

    Science.gov (United States)

    Wang, Ying; He, Jing; Ma, Tian-Jiao; Lei, Wei; Li, Feng; Shen, Han; Shen, Zhen-Ya

    2016-01-01

    GSTT1 gene plays an important role in detoxification and clearance of reactive oxygen species(ROS). A null variant in this gene has been demonstrated to confer cancer susceptibility. Although many studies have demonstrated the association between GSTT1 null polymorphism and urinary system cancer susceptibility, several publications reported opposite conclusions. For better understanding the effects of this polymorphism on the risk of urinary system cancer, a updated meta-analysis was performed with a total of 26,666 cases and 37,210 controls extracted from 117 studies, by following the latest meta-analysis guidelines (PRISMA). The results suggested that the GSTT1 null genotype was significantly associated with an increased risk of urinary system cancer (OR=1.13, 95%CI=1.05-1.22). Furthermore, stratified analyses by the type of cancer, ethnicity, source of control and quality score presented a significantly increased risk associated with GSTT1 null genotype in bladder and prostate cancer subgroup, Caucasians and Indians subgroup, population-based(PB) subgroup, medium quality and low quality subgroup. Overall, our meta-analysis suggested that GSTT1 null genotype is a potential cancer susceptibility variant. Well-designed and large-cohort studies are needed to confirm the association between GSTT1 null genotype and urinary system cancer risk.

  12. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium

    Science.gov (United States)

    Milne, Roger L.; Burwinkel, Barbara; Michailidou, Kyriaki; Arias-Perez, Jose-Ignacio; Zamora, M. Pilar; Menéndez-Rodríguez, Primitiva; Hardisson, David; Mendiola, Marta; González-Neira, Anna; Pita, Guillermo; Alonso, M. Rosario; Dennis, Joe; Wang, Qin; Bolla, Manjeet K.; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk; Ko, Yon-Dschun; Brauch, Hiltrud; Hamann, Ute; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Tchatchou, Sandrine; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Li, Jingmei; Brand, Judith S.; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Lambrechts, Diether; Peuteman, Gilian; Christiaens, Marie-Rose; Smeets, Ann; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katazyna; Hartman, Mikael; Hui, Miao; Yen Lim, Wei; Wan Chan, Ching; Marme, Federick; Yang, Rongxi; Bugert, Peter; Lindblom, Annika; Margolin, Sara; García-Closas, Montserrat; Chanock, Stephen J.; Lissowska, Jolanta; Figueroa, Jonine D.; Bojesen, Stig E.; Nordestgaard, Børge G.; Flyger, Henrik; Hooning, Maartje J.; Kriege, Mieke; van den Ouweland, Ans M.W.; Koppert, Linetta B.; Fletcher, Olivia; Johnson, Nichola; dos-Santos-Silva, Isabel; Peto, Julian; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha J.; Long, Jirong; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Cox, Angela; Cross, Simon S.; Reed, Malcolm W.R.; Schmidt, Marjanka K.; Broeks, Annegien; Cornelissen, Sten; Braaf, Linde; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K.; Noh, Dong-Young; Simard, Jacques; Dumont, Martine; Goldberg, Mark S.; Labrèche, France; Fasching, Peter A.; Hein, Alexander; Ekici, Arif B.; Beckmann, Matthias W.; Radice, Paolo; Peterlongo, Paolo; Azzollini, Jacopo; Barile, Monica; Sawyer, Elinor; Tomlinson, Ian; Kerin, Michael; Miller, Nicola; Hopper, John L.; Schmidt, Daniel F.; Makalic, Enes; Southey, Melissa C.; Hwang Teo, Soo; Har Yip, Cheng; Sivanandan, Kavitta; Tay, Wan-Ting; Shen, Chen-Yang; Hsiung, Chia-Ni; Yu, Jyh-Cherng; Hou, Ming-Feng; Guénel, Pascal; Truong, Therese; Sanchez, Marie; Mulot, Claire; Blot, William; Cai, Qiuyin; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Wu, Anna H.; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O.; Bogdanova, Natalia; Dörk, Thilo; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Zhang, Ben; Couch, Fergus J.; Toland, Amanda E.; Yannoukakos, Drakoulis; Sangrajrang, Suleeporn; McKay, James; Wang, Xianshu; Olson, Janet E.; Vachon, Celine; Purrington, Kristen; Severi, Gianluca; Baglietto, Laura; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Devilee, Peter; Tollenaar, Robert A.E.M.; Seynaeve, Caroline; Czene, Kamila; Eriksson, Mikael; Humphreys, Keith; Darabi, Hatef; Ahmed, Shahana; Shah, Mitul; Pharoah, Paul D.P.; Hall, Per; Giles, Graham G.; Benítez, Javier; Dunning, Alison M.; Chenevix-Trench, Georgia; Easton, Douglas F.; Berchuck, Andrew; Eeles, Rosalind A.; Olama, Ali Amin Al; Kote-Jarai, Zsofia; Benlloch, Sara; Antoniou, Antonis; McGuffog, Lesley; Offit, Ken; Lee, Andrew; Dicks, Ed; Luccarini, Craig; Tessier, Daniel C.; Bacot, Francois; Vincent, Daniel; LaBoissière, Sylvie; Robidoux, Frederic; Nielsen, Sune F.; Cunningham, Julie M.; Windebank, Sharon A.; Hilker, Christopher A.; Meyer, Jeffrey; Angelakos, Maggie; Maskiell, Judi; van der Schoot, Ellen; Rutgers, Emiel; Verhoef, Senno; Hogervorst, Frans; Boonyawongviroj, Prat; Siriwanarungsan, Pornthep; Schrauder, Michael; Rübner, Matthias; Oeser, Sonja; Landrith, Silke; Williams, Eileen; Ryder-Mills, Elaine; Sargus, Kara; McInerney, Niall; Colleran, Gabrielle; Rowan, Andrew; Jones, Angela; Sohn, Christof; Schneeweiß, Andeas; Bugert, Peter; Álvarez, Núria; Lacey, James; Wang, Sophia; Ma, Huiyan; Lu, Yani; Deapen, Dennis; Pinder, Rich; Lee, Eunjung; Schumacher, Fred; Horn-Ross, Pam; Reynolds, Peggy; Nelson, David; Ziegler, Hartwig; Wolf, Sonja; Hermann, Volker; Lo, Wing-Yee; Justenhoven, Christina; Baisch, Christian; Fischer, Hans-Peter; Brüning, Thomas; Pesch, Beate; Rabstein, Sylvia; Lotz, Anne; Harth, Volker; Heikkinen, Tuomas; Erkkilä, Irja; Aaltonen, Kirsimari; von Smitten, Karl; Antonenkova, Natalia; Hillemanns, Peter; Christiansen, Hans; Myöhänen, Eija; Kemiläinen, Helena; Thorne, Heather; Niedermayr, Eveline; Bowtell, D; Chenevix-Trench, G; deFazio, A; Gertig, D; Green, A; Webb, P; Green, A.; Parsons, P.; Hayward, N.; Webb, P.; Whiteman, D.; Fung, Annie; Yashiki, June; Peuteman, Gilian; Smeets, Dominiek; Brussel, Thomas Van; Corthouts, Kathleen; Obi, Nadia; Heinz, Judith; Behrens, Sabine; Eilber, Ursula; Celik, Muhabbet; Olchers, Til; Manoukian, Siranoush; Peissel, Bernard; Scuvera, Giulietta; Zaffaroni, Daniela; Bonanni, Bernardo; Feroce, Irene; Maniscalco, Angela; Rossi, Alessandra; Bernard, Loris; Tranchant, Martine; Valois, Marie-France; Turgeon, Annie; Heguy, Lea; Sze Yee, Phuah; Kang, Peter; Nee, Kang In; Mariapun, Shivaani; Sook-Yee, Yoon; Lee, Daphne; Ching, Teh Yew; Taib, Nur Aishah Mohd; Otsukka, Meeri; Mononen, Kari; Selander, Teresa; Weerasooriya, Nayana; staff, OFBCR; Krol-Warmerdam, E.; Molenaar, J.; Blom, J.; Brinton, Louise; Szeszenia-Dabrowska, Neonila; Peplonska, Beata; Zatonski, Witold; Chao, Pei; Stagner, Michael; Bos, Petra; Blom, Jannet; Crepin, Ellen; Nieuwlaat, Anja; Heemskerk, Annette; Higham, Sue; Cross, Simon; Cramp, Helen; Connley, Dan; Balasubramanian, Sabapathy; Brock, Ian; Luccarini, Craig; Conroy, Don; Baynes, Caroline; Chua, Kimberley

    2014-01-01

    Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04–1.10, P = 2.9 × 10−6], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03–1.07, P = 1.7 × 10−6) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07–1.12, P = 5.1 × 10−17). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05–1.10, P = 1.0 × 10−8); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04–1.07, P = 2.0 × 10−10). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act

  13. A combined genome-wide linkage and association approach to find susceptibility loci for platelet function phenotypes in European American and African American families with coronary artery disease

    Directory of Open Access Journals (Sweden)

    Wilson Alexander F

    2010-06-01

    Full Text Available Abstract Background The inability of aspirin (ASA to adequately suppress platelet aggregation is associated with future risk of coronary artery disease (CAD. Heritability studies of agonist-induced platelet function phenotypes suggest that genetic variation may be responsible for ASA responsiveness. In this study, we leverage independent information from genome-wide linkage and association data to determine loci controlling platelet phenotypes before and after treatment with ASA. Methods Clinical data on 37 agonist-induced platelet function phenotypes were evaluated before and after a 2-week trial of ASA (81 mg/day in 1231 European American and 846 African American healthy subjects with a family history of premature CAD. Principal component analysis was performed to minimize the number of independent factors underlying the covariance of these various phenotypes. Multi-point sib-pair based linkage analysis was performed using a microsatellite marker set, and single-SNP association tests were performed using markers from the Illumina 1 M genotyping chip from deCODE Genetics, Inc. All analyses were performed separately within each ethnic group. Results Several genomic regions appear to be linked to ASA response factors: a 10 cM region in African Americans on chromosome 5q11.2 had several STRs with suggestive (p-value -4 and significant (p-value -5 linkage to post aspirin platelet response to ADP, and ten additional factors had suggestive evidence for linkage (p-value -4 to thirteen genomic regions. All but one of these factors were aspirin response variables. While the strength of genome-wide SNP association signals for factors showing evidence for linkage is limited, especially at the strict thresholds of genome-wide criteria (N = 9 SNPs for 11 factors, more signals were considered significant when the association signal was weighted by evidence for linkage (N = 30 SNPs. Conclusions Our study supports the hypothesis that platelet phenotypes in

  14. Polymorphisms of the Hypoxia Inducible Factor 1 and microRNA Related Genes and the Susceptibility and Survival of Lung Cancer and Upper Aero-Digestive Tract Cancers

    OpenAIRE

    Yang, Ying

    2014-01-01

    Background: Hypoxia inducible factor 1(HIF-1) and microRNAs (miRNAs) regulate transcriptional activities and contribute in several biological processes such as oxygen homeostasis, cell growth, progression and apoptosis that are important in lung and upper aero-digestive tract (UADT) cancer etiology and outcomes. Nonetheless, there are few published studies of the relationship between HIF-1 and miRNA gene polymorphisms and susceptibility and survival of lung cancer or UADT cancers. Methods: 1,...

  15. Prostate Cancer Susceptibility in Men of African Ancestry at 8q24.

    Science.gov (United States)

    Han, Ying; Rand, Kristin A; Hazelett, Dennis J; Ingles, Sue A; Kittles, Rick A; Strom, Sara S; Rybicki, Benjamin A; Nemesure, Barbara; Isaacs, William B; Stanford, Janet L; Zheng, Wei; Schumacher, Fredrick R; Berndt, Sonja I; Wang, Zhaoming; Xu, Jianfeng; Rohland, Nadin; Reich, David; Tandon, Arti; Pasaniuc, Bogdan; Allen, Alex; Quinque, Dominique; Mallick, Swapan; Notani, Dimple; Rosenfeld, Michael G; Jayani, Ranveer Singh; Kolb, Suzanne; Gapstur, Susan M; Stevens, Victoria L; Pettaway, Curtis A; Yeboah, Edward D; Tettey, Yao; Biritwum, Richard B; Adjei, Andrew A; Tay, Evelyn; Truelove, Ann; Niwa, Shelley; Chokkalingam, Anand P; John, Esther M; Murphy, Adam B; Signorello, Lisa B; Carpten, John; Leske, M Cristina; Wu, Suh-Yuh; Hennis, Anslem J M; Neslund-Dudas, Christine; Hsing, Ann W; Chu, Lisa; Goodman, Phyllis J; Klein, Eric A; Zheng, S Lilly; Witte, John S; Casey, Graham; Lubwama, Alex; Pooler, Loreall C; Sheng, Xin; Coetzee, Gerhard A; Cook, Michael B; Chanock, Stephen J; Stram, Daniel O; Watya, Stephen; Blot, William J; Conti, David V; Henderson, Brian E; Haiman, Christopher A

    2016-07-01

    The 8q24 region harbors multiple risk variants for distinct cancers, including >8 for prostate cancer. In this study, we conducted fine mapping of the 8q24 risk region (127.8-128.8Mb) in search of novel associations with common and rare variation in 4853 prostate cancer case patients and 4678 control subjects of African ancestry. All statistical tests were two-sided. We identified three independent associations at P values of less than 5.00×10(-8), all of which were replicated in studies from Ghana and Uganda (combined sample = 5869 case patients, 5615 control subjects; rs114798100: risk allele frequency [RAF] = 0.04, per-allele odds ratio [OR] = 2.31, 95% confidence interval [CI] = 2.04 to 2.61, P = 2.38×10(-40); rs72725879: RAF = 0.33, OR = 1.37, 95% CI = 1.30 to 1.45, P = 3.04×10(-27); and rs111906932: RAF = 0.03, OR = 1.79, 95% CI = 1.53 to 2.08, P = 1.39×10(-13)). Risk variants rs114798100 and rs111906923 are only found in men of African ancestry, with rs111906923 representing a novel association signal. The three variants are located within or near a number of prostate cancer-associated long noncoding RNAs (lncRNAs), including PRNCR1, PCAT1, and PCAT2. These findings highlight ancestry-specific risk variation and implicate prostate-specific lncRNAs at the 8q24 prostate cancer susceptibility region.

  16. NAT2 polymorphisms combining with smoking associated with breast cancer susceptibility: a meta-analysis.

    Science.gov (United States)

    Zhang, Jian; Qiu, Li-Xin; Wang, Zhong-Hua; Wang, Jia-Lei; He, Shuang-Shuang; Hu, Xi-Chun

    2010-10-01

    To derive a more precise estimation of the relationship between the slow or rapid acetylation resulting from N-acetyltransferase 2 (NAT2) polymorphisms and breast cancer risk, a meta-analysis was performed. PubMed, Medline, Embase, and Web of Science were searched. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess strength of association. The pooled ORs were performed for slow versus rapid acetylation genotypes. A total of 26 studies including 9,215 cases and 10,443 controls were included in the meta-analysis. Overall, no significantly elevated breast cancer risk was associated with NAT2 slow genotypes when all studies were pooled into the meta-analysis (OR = 1.026, 95% CI = 0.968-1.087). In the subgroup analysis by ethnicity, increased risks were not found for either Caucasians (OR = 1.001, 95% CI = 0.938-1.068) or Asians (OR = 1.155, 95% CI = 0.886-1.506). When stratified by study design, statistically significantly elevated risk associated with NAT2 slow genotypes was only found among hospital-based studies (OR = 1.178, 95% CI = 1.037-1.339). In the subgroup analysis by menopausal status, no statistically significantly increased risk was found in either premenopausal (OR = 1.053, 95% CI = 0.886-1.252) or postmenopausal women (OR = 0.965, 95% CI = 0.844-1.104). When stratified by cumulative smoking exposure, in the subgroup of smokers with high pack-years, NAT2 slow genotypes were significantly associated with increased breast cancer risk (OR = 1.400, 95% CI = 1.099-1.784). In conclusion, this meta-analysis suggested that there is overall lack of association between NAT2 genotypes and breast cancer risk, however, NAT2 polymorphisms when combining with heavy smoking history may contribute to breast cancer susceptibility. PMID:20180012

  17. Known susceptibility SNPs for sporadic prostate cancer show a similar association with "hereditary" prostate cancer

    NARCIS (Netherlands)

    Cremers, R.G.H.M.; Galesloot, T.E.; Aben, K.K.H.; Oort, I.M. van; Vasen, H.F.A.; Vermeulen, S.; Kiemeney, L.A.L.M.

    2015-01-01

    BACKGROUND: More than 70 single nucleotide polymorphisms (SNPs) have been reported to be associated with prostate cancer (PC) risk; these were mainly identified in the general population with predominantly sporadic PC (SPC). Previous studies have suggested similar associations between a selection of

  18. Interactions between environmental factors and melatonin receptor type 1A polymorphism in relation to oral cancer susceptibility and clinicopathologic development.

    Directory of Open Access Journals (Sweden)

    Feng-Yan Lin

    Full Text Available The purpose of this study was to explore the combined effect of melatonin receptor type 1A (MTNR1A gene polymorphisms and exposure to environmental carcinogens on the susceptibility and clinicopathological characteristics of oral cancer.Three polymorphisms of the MTNR1A gene from 618 patients with oral cancer and 560 non-cancer controls were analyzed by real-time polymerase chain reaction (PCR. The CTA haplotype of the studied MTNR1A polymorphisms (rs2119882, rs13140012, rs6553010 was related to a higher risk of oral cancer. Moreover, MTNR1A gene polymorphisms exhibited synergistic effects of environmental factors (betel quid and tobacco use on the susceptibility of oral cancer. Finally, oral-cancer patients with betel quid-chewing habit who had T/T allele of MTNR1A rs13140012 were at higher risk for developing an advanced clinical stage and lymph node metastasis.These results support gene-environment interactions of MTNR1A polymorphisms with smoking and betel quid-chewing habits possibly altering oral-cancer susceptibility and metastasis.

  19. Bioinformatics Analysis for Coding SNPs of the HLADQA1 Gene Involved in Susceptibility to Cervical Cancer

    Institute of Scientific and Technical Information of China (English)

    Yanyun Li; Jun Xing; Linsheng Zhao; Yanni Li; Yuchuan Wang; Weiming Zhang

    2006-01-01

    OBJECTIVE To analyze coding SNPs of the HLA-DQA1 gene involved in susceptibility for cervical cancer by a bioinformatics approach, and to choose some SNPs that may have an association with cervical cancer.METHODS By a SNPper tool we extracted SNPs from a public database (dbSNP), exporting them in FASTA formats suitable for subsequent use.Then we used PARSESNP as a tool for the analysis of the cSNPs.RESULTS In the cSNPs of the HLA-DQA1 gene, we find that rs9272693and rs9272703, are made up of missense mutations which convert a codon for one amino acid into a codon for a different amino acid. We chose a PSSM Difference >10 as a lower level for the scores of changes predicted to be deldterious.CONCLUSION We used a bioinformatics approach for cSNPs analysis of the HLA-DQA1 gene. This method can select the variants in a conserved region, and give a PSSM Difference score. But the results need to be verified in cervical cancer patients and a control population.

  20. Multiple independent loci at chromosome 15q25.1 affect smoking quantity: a meta-analysis and comparison with lung cancer and COPD.

    Directory of Open Access Journals (Sweden)

    Nancy L Saccone

    2010-08-01

    Full Text Available Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous CHRNA5 SNP rs16969968 and correlates has been replicated in several independent studies. Extensive genotyping of this region has suggested additional statistically distinct signals for nicotine dependence, tagged by rs578776 and rs588765. One goal of the Consortium for the Genetic Analysis of Smoking Phenotypes (CGASP is to elucidate the associations among these markers and dichotomous smoking quantity (heavy versus light smoking, lung cancer, and chronic obstructive pulmonary disease (COPD. We performed a meta-analysis across 34 datasets of European-ancestry subjects, including 38,617 smokers who were assessed for cigarettes-per-day, 7,700 lung cancer cases and 5,914 lung-cancer-free controls (all smokers, and 2,614 COPD cases and 3,568 COPD-free controls (all smokers. We demonstrate statistically independent associations of rs16969968 and rs588765 with smoking (mutually adjusted p-values<10(-35 and <10(-8 respectively. Because the risk alleles at these loci are negatively correlated, their association with smoking is stronger in the joint model than when each SNP is analyzed alone. Rs578776 also demonstrates association with smoking after adjustment for rs16969968 (p<10(-6. In models adjusting for cigarettes-per-day, we confirm the association between rs16969968 and lung cancer (p<10(-20 and observe a nominally significant association with COPD (p = 0.01; the other loci are not significantly associated with either lung cancer or COPD after adjusting for rs16969968. This study provides strong evidence that multiple statistically distinct loci in this region affect smoking behavior. This study is also the first report of association between rs588765

  1. Targeted Next-Generation Sequencing Identifies a Recurrent Mutation in MCPH1 Associating with Hereditary Breast Cancer Susceptibility.

    Directory of Open Access Journals (Sweden)

    Tuomo Mantere

    2016-01-01

    Full Text Available Breast cancer is strongly influenced by hereditary risk factors, a majority of which still remain unknown. Here, we performed a targeted next-generation sequencing of 796 genes implicated in DNA repair in 189 Finnish breast cancer cases with indication of hereditary disease susceptibility and focused the analysis on protein truncating mutations. A recurrent heterozygous mutation (c.904_916del, p.Arg304ValfsTer3 was identified in early DNA damage response gene, MCPH1, significantly associating with breast cancer susceptibility both in familial (5/145, 3.4%, P = 0.003, OR 8.3 and unselected cases (16/1150, 1.4%, P = 0.016, OR 3.3. A total of 21 mutation positive families were identified, of which one-third exhibited also brain tumors and/or sarcomas (P = 0.0007. Mutation carriers exhibited significant increase in genomic instability assessed by cytogenetic analysis for spontaneous chromosomal rearrangements in peripheral blood lymphocytes (P = 0.0007, suggesting an effect for MCPH1 haploinsufficiency on cancer susceptibility. Furthermore, 40% of the mutation carrier tumors exhibited loss of the wild-type allele. These findings collectively provide strong evidence for MCHP1 being a novel breast cancer susceptibility gene, which warrants further investigations in other populations.

  2. Targeted Next-Generation Sequencing Identifies a Recurrent Mutation in MCPH1 Associating with Hereditary Breast Cancer Susceptibility

    Science.gov (United States)

    Mantere, Tuomo; Winqvist, Robert; Kauppila, Saila; Grip, Mervi; Jukkola-Vuorinen, Arja; Tervasmäki, Anna; Rapakko, Katrin; Pylkäs, Katri

    2016-01-01

    Breast cancer is strongly influenced by hereditary risk factors, a majority of which still remain unknown. Here, we performed a targeted next-generation sequencing of 796 genes implicated in DNA repair in 189 Finnish breast cancer cases with indication of hereditary disease susceptibility and focused the analysis on protein truncating mutations. A recurrent heterozygous mutation (c.904_916del, p.Arg304ValfsTer3) was identified in early DNA damage response gene, MCPH1, significantly associating with breast cancer susceptibility both in familial (5/145, 3.4%, P = 0.003, OR 8.3) and unselected cases (16/1150, 1.4%, P = 0.016, OR 3.3). A total of 21 mutation positive families were identified, of which one-third exhibited also brain tumors and/or sarcomas (P = 0.0007). Mutation carriers exhibited significant increase in genomic instability assessed by cytogenetic analysis for spontaneous chromosomal rearrangements in peripheral blood lymphocytes (P = 0.0007), suggesting an effect for MCPH1 haploinsufficiency on cancer susceptibility. Furthermore, 40% of the mutation carrier tumors exhibited loss of the wild-type allele. These findings collectively provide strong evidence for MCHP1 being a novel breast cancer susceptibility gene, which warrants further investigations in other populations. PMID:26820313

  3. Meta-Analysis of Mismatch Repair Polymorphisms within the Cogent Consortium for Colorectal Cancer Susceptibility

    Science.gov (United States)

    Chang-Claude, Jenny; Hoffmeister, Michael; Fernández-Rozadilla, Ceres; Carracedo, Angel; Castells, Antoni; Castellví-Bel, Sergi; Juan, Diego Morillas; Raquel, Muñoz; Marisa, Manzano; Francisco, Colina; Jose, Díaz; Carolina, Ibarrola; Guadalupe, López; Alberto, Ibáñez; Antoni, Castells; Virgínia, Piñol; Sergi, Castellví-Bel; Francesc, Balaguer; Victoria, Gonzalo; Teresa, Ocaña; María Dolores, Giráldez; Maria, Pellisé; Anna, Serradesanferm; Leticia, Moreira; Miriam, Cuatrecasas; Josep, M. Piqué; Ángel, Lanas; Javier, Alcedo; Javier, Ortego; Joaquin, Cubiella; Ma, Soledad Díez; Mercedes, Salgado; Eloy, Sánchez; Mariano, Vega; Montserrat, Andreu; Anna, Abuli; Xavier, Bessa; Mar, Iglesias; Agustín, Seoane; Felipe, Bory; Gemma, Navarro; Beatriz, Bellosillo; Josep, Ma Dedeu; Cristina, Álvarez; Marc, Puigvehí; Luis, Bujanda; Ángel, Cosme; Inés, Gil; Mikel, Larzabal; Carlos, Placer; María, del Mar Ramírez; Elisabeth, Hijona; Jose, M. Enríquez-Navascués; Jose, L. Elosegui; Artemio, Payá; Rodrigo, Jover; Cristina, Alenda; Laura, Sempere; Nuria, Acame; Estefanía, Rojas; Lucía, Pérez-Carbonell; Joaquim, Rigau; Ángel, Serrano; Anna, Giménez; Joan, Saló; Eduard, Batiste-Alentorn; Josefina, Autonell; Ramon, Barniol; Ana, María García; Fernando, Carballo; Antonio, Bienvenido; Eduardo, Sanz; Fernando, González; Jaime, Sánchez; Akiko, Ono; Mercedes, Latorre; Enrique, Medina; Jaime, Cuquerella; Pilar, Canelles; Miguel, Martorell; José, Ángel García; Francisco, Quiles; Elisa, Orti; Juan, Clofent; Jaime, Seoane; Antoni, Tardío; Eugenia, Sanchez; Ma, Luisa de Castro; Antoni, Tardío; Juan, Clofent; Vicent, Hernández; Xavier, Llor; Rosa, M. Xicola; Marta, Piñol; Mercè, Rosinach; Anna, Roca; Elisenda, Pons; José, M. Hernández; Miquel, A. Gassull; Fernando, Fernández-Bañares; Josep, M. Viver; Antonio, Salas; Jorge, Espinós; Montserrat, Forné; Maria, Esteve; Josep, M. Reñé; Carmen, Piñol; Juan, Buenestado; Joan, Viñas; Enrique, Quintero; David, Nicolás; Adolfo, Parra; Antonio, Martín; Lidia, Argüello; Vicente, Pons; Virginia, Pertejo; Teresa, Sala; Dolors, Gonzalez; Eva, Roman; Teresa, Ramon; Maria, Poca; Ma, Mar Concepción; Marta, Martin; Lourdes, Pétriz; Daniel, Martinez; Ángel, Carracedo; Clara, Ruiz-Ponte; Ceres, Fernández-Rozadilla; Ma, Magdalena Castro; Sabino, Riestra; Luis, Rodrigo; Javier, Fernández; Jose, Luis Cabriada; Luis, Carreño; Susana, Oquiñena; Federico, Bolado; Elena, Peña; José, Manuel Blas; Gloria, Ceña; Juan, José Sebastián; Antonio, Naranjo; Naccarati, Alessio; Pardini, Barbara; Vodickova, Ludmila; Müller, Heiko; Talseth-Palmer, Bente A.; Stibbard, Geoffrey; Peterlongo, Paolo; Nici, Carmela; Veneroni, Silvia; Li, Li; Casey, Graham; Tenesa, Albert; Farrington, Susan M.; Tomlinson, Ian; Moreno, Victor; van Wezel, Tom; Wijnen, Juul; Dunlop, Malcolm; Radice, Paolo; Scott, Rodney J.; Vodicka, Pavel; Ruiz-Ponte, Clara; Brenner, Hermann; Buch, Stephan; Völzke, Henry; Hampe, Jochen; Schafmayer, Clemens; Lindblom, Annika

    2013-01-01

    In the last four years, Genome-Wide Association Studies (GWAS) have identified sixteen low-penetrance polymorphisms on fourteen different loci associated with colorectal cancer (CRC). Due to the low risks conferred by known common variants, most of the 35% broad-sense heritability estimated by twin studies remains unexplained. Recently our group performed a case-control study for eight Single Nucleotide Polymorphisms (SNPs) in 4 CRC genes. The present investigation is a follow-up of that study. We have genotyped six SNPs that showed a positive association and carried out a meta-analysis based on eight additional studies comprising in total more than 8000 cases and 6000 controls. The estimated recessive odds ratio for one of the SNPs, rs3219489 (MUTYH Q338H), decreased from 1.52 in the original Swedish study, to 1.18 in the Swedish replication, and to 1.08 in the initial meta-analysis. Since the corresponding summary probability value was 0.06, we decided to retrieve additional information for this polymorphism. The incorporation of six further studies resulted in around 13000 cases and 13000 controls. The newly updated OR was 1.03. The results from the present large, multicenter study illustrate the possibility of decreasing effect sizes with increasing samples sizes. Phenotypic heterogeneity, differential environmental exposures, and population specific linkage disequilibrium patterns may explain the observed difference of genetic effects between Sweden and the other investigated cohorts. PMID:24039736

  4. Teen smoking, field cancerization, and a "critical period" hypothesis for lung cancer susceptibility.

    OpenAIRE

    Wiencke, John K.; Kelsey, Karl T.

    2002-01-01

    Cigarette smoking by children and adolescents continues to be prevalent, and this fact represents a major public health problem and challenge. Epidemiologic work has previously suggested that exposure of the lung to tobacco carcinogens at an early age may be an independent risk factor for lung cancer. Recent studies at the molecular and cellular levels are consistent with this, now suggesting that early exposure enhances DNA damage and is associated with the induction of DNA alterations in sp...

  5. An Integrated Genome-Wide Systems Genetics Screen for Breast Cancer Metastasis Susceptibility Genes.

    Science.gov (United States)

    Bai, Ling; Yang, Howard H; Hu, Ying; Shukla, Anjali; Ha, Ngoc-Han; Doran, Anthony; Faraji, Farhoud; Goldberger, Natalie; Lee, Maxwell P; Keane, Thomas; Hunter, Kent W

    2016-04-01

    Metastasis remains the primary cause of patient morbidity and mortality in solid tumors and is due to the action of a large number of tumor-autonomous and non-autonomous factors. Here we report the results of a genome-wide integrated strategy to identify novel metastasis susceptibility candidate genes and molecular pathways in breast cancer metastasis. This analysis implicates a number of transcriptional regulators and suggests cell-mediated immunity is an important determinant. Moreover, the analysis identified novel or FDA-approved drugs as potentially useful for anti-metastatic therapy. Further explorations implementing this strategy may therefore provide a variety of information for clinical applications in the control and treatment of advanced neoplastic disease. PMID:27074153

  6. Antibacterial susceptibility of bacteria isolated from burns and wounds of cancer patients

    Directory of Open Access Journals (Sweden)

    Sulaiman A. Alharbi

    2014-01-01

    Full Text Available In this study 540 burns and wound swabs were collected from cancer patients of some Egyptian hospitals. The single infection was detected from 210, and 70 cases among wounded and burned patients, while mixed infection was 30 and 45, respectively. We recovered where 60 isolates of Pseudomonas aeruginosa, 60 isolates of Staphylococcus aureus, 7 isolates of Staphylococcus epidermidis, 4 isolates of Streptococcus pyogenes, 25 isolates of Escherichia coli, 23 isolates of Klebsiella pneumoniae and 27 isolates of Proteus vulgaris from 355 burn and surgical wound infections . All bacterial isolates showed high resistance to the commonly used β-lactams (amoxycillin, cefaclor, ampicillin, vancomycin, amoxicillin/clavulonic, and low resistance to imepenim and ciprofloxacin. Plasmid analysis of six multidrug resistant and two susceptible bacterial isolates revealed the same plasmid pattern. This indicated that R-factor is not responsible for the resistance phenomenon among the isolated opportunistic bacteria. The effect of ultraviolet radiation on the isolated bacteria was studied.

  7. Effect of genetic variants in KCNJ11, ABCC8, PPARG and HNF4A loci on the susceptibility of type 2 diabetes in Chinese Han population

    Institute of Scientific and Technical Information of China (English)

    WANG Fang; HAN Xue-yao; REN Qian; ZHANG Xiu-ying; HAN Ling-chuan; LUO Ying-ying; ZHOU Xiang-hai; JI Li-nong

    2009-01-01

    Background KCNJ11, ABCC8, PPARG, and HNF4A have been found to be associated with type 2 diabetes in populations with different genetic backgrounds. The aim of this study was to test, in a Chinese Han population from Beijing, whether the genetic variants in these four genes were associated with genetic predisposition to type 2 diabetes.Methods We studied the association of four representative SNPs in KCNJ11, ABCC8, PPARG and HNF4A by genotyping them using ABI SnaPshot(R) Multiplex System in 400 unrelated type 2 diabetic patients and 400 unrelated normoglycaemic subjects. Results rs5219(E23K) in KCNJ11 was associated with genetic susceptibility to type 2 diabetes (OR=1.400 with 95% Cl 1.117 1.755, P=0.004 under an additive model, OR=-1.652 with 95% Cl 1.086 2.513, P=0.019 under a recessive model,and OR=1.521 with 95% Cl 1.089 2.123, P=0.014 under a dominant model) after adjusting for sex and body mass index (BMI). We did not find evidence of association for ABCC8 rs1799854, PPARG rs1801282 (Pro12Ala) and HNF4A rs2144908. Genotype-phenotype correlation analysis revealed that rs1799854 in ABCC8 was associated with 2-hour postprandial insulin secretion (P=0.005) after adjusting for sex, age and BMI. Although no interactions between the four variants on the risk of type 2 diabetes were detected, the multiplicative interaction between PPARG Pro12Ala and HNF4A rs2144908 was found to be associated with 2-hour postprandial insulin (P=-0.004 under an additive model for rs2144908;and P=0.001 under a dominant model for rs2144908) after adjusting for age, sex and BMI, assuming a dominant model for PPARG Pro12Ala.Conclusions Our study replicated the association of rs5219 in KCNJ11 with type 2 diabetes in Chinese Han population in Beijing. And we also observed that ABCC8 as well as the interaction between PPARG and HNF4A may contribute to post-challenge insulin secretion.

  8. Possible association of β2- and β3-adrenergic receptor gene polymorphisms with susceptibility to breast cancer

    OpenAIRE

    Xin-en HUANG; Hamajima, Nobuyuki; Saito, Toshiko; Matsuo, Keitaro; Mizutani, Mitsuhiro; Iwata, Hiroji; Iwase, Takuji; Miura, Shigeto; Mizuno, Tsutomu; Tokudome, Shinkan; Tajima, Kazuo

    2001-01-01

    Background The involvement of β2-adrenergic receptor (ADRB2) and β3-adrenergic receptor (ADRB3) in both adipocyte lipolysis and thermogenic activity suggests that polymorphisms in the encoding genes might be linked with interindividual variation in obesity, an important risk factor for postmenopausal breast cancer. In order to examine the hypothesis that genetic variations in ADRB2 and ADRB3 represent interindividual susceptibility factors for obesity and breast cancer, we conducted a hospita...

  9. Clustering of sebaceous gland carcinoma, papillary thyroid carcinoma and breast cancer in a woman as a new cancer susceptibility disorder: a case report

    Directory of Open Access Journals (Sweden)

    Newman Brian D

    2009-07-01

    Full Text Available Abstract Introduction Multiple distinct tumors arising in a single individual or within members of a family raise the suspicion of a genetic susceptibility disorder. Case presentation We present the case of a 52-year-old Caucasian woman diagnosed with sebaceous gland carcinoma of the eyelid, followed several years later with subsequent diagnoses of breast cancer and papillary carcinoma of the thyroid. Although the patient was also exposed to radiation from a pipe used in the oil field industry, the constellation of neoplasms in this patient suggests the manifestation of a known hereditary susceptibility cancer syndrome. However, testing for the most likely candidates such as Muir-Torre and Cowden syndrome proved negative. Conclusion We propose that our patient's clustering of neoplasms either represents a novel cancer susceptibility disorder, of which sebaceous gland carcinoma is a characteristic feature, or is a variant of the Muir-Torre syndrome.

  10. Common variants at 19p13 are associated with susceptibility to ovarian cancer.

    Science.gov (United States)

    Bolton, Kelly L; Tyrer, Jonathan; Song, Honglin; Ramus, Susan J; Notaridou, Maria; Jones, Chris; Sher, Tanya; Gentry-Maharaj, Aleksandra; Wozniak, Eva; Tsai, Ya-Yu; Weidhaas, Joanne; Paik, Daniel; Van Den Berg, David J; Stram, Daniel O; Pearce, Celeste Leigh; Wu, Anna H; Brewster, Wendy; Anton-Culver, Hoda; Ziogas, Argyrios; Narod, Steven A; Levine, Douglas A; Kaye, Stanley B; Brown, Robert; Paul, Jim; Flanagan, James; Sieh, Weiva; McGuire, Valerie; Whittemore, Alice S; Campbell, Ian; Gore, Martin E; Lissowska, Jolanta; Yang, Hanna P; Medrek, Krzysztof; Gronwald, Jacek; Lubinski, Jan; Jakubowska, Anna; Le, Nhu D; Cook, Linda S; Kelemen, Linda E; Brooks-Wilson, Angela; Brook-Wilson, Angela; Massuger, Leon F A G; Kiemeney, Lambertus A; Aben, Katja K H; van Altena, Anne M; Houlston, Richard; Tomlinson, Ian; Palmieri, Rachel T; Moorman, Patricia G; Schildkraut, Joellen; Iversen, Edwin S; Phelan, Catherine; Vierkant, Robert A; Cunningham, Julie M; Goode, Ellen L; Fridley, Brooke L; Kruger-Kjaer, Susan; Blaeker, Jan; Hogdall, Estrid; Hogdall, Claus; Gross, Jenny; Karlan, Beth Y; Ness, Roberta B; Edwards, Robert P; Odunsi, Kunle; Moyisch, Kirsten B; Baker, Julie A; Modugno, Francesmary; Heikkinenen, Tuomas; Butzow, Ralf; Nevanlinna, Heli; Leminen, Arto; Bogdanova, Natalia; Antonenkova, Natalia; Doerk, Thilo; Hillemanns, Peter; Dürst, Matthias; Runnebaum, Ingo; Thompson, Pamela J; Carney, Michael E; Goodman, Marc T; Lurie, Galina; Wang-Gohrke, Shan; Hein, Rebecca; Chang-Claude, Jenny; Rossing, Mary Anne; Cushing-Haugen, Kara L; Doherty, Jennifer; Chen, Chu; Rafnar, Thorunn; Besenbacher, Soren; Sulem, Patrick; Stefansson, Kari; Birrer, Michael J; Terry, Kathryn L; Hernandez, Dena; Cramer, Daniel W; Vergote, Ignace; Amant, Frederic; Lambrechts, Diether; Despierre, Evelyn; Fasching, Peter A; Beckmann, Matthias W; Thiel, Falk C; Ekici, Arif B; Chen, Xiaoqing; Johnatty, Sharon E; Webb, Penelope M; Beesley, Jonathan; Chanock, Stephen; Garcia-Closas, Montserrat; Sellers, Tom; Easton, Douglas F; Berchuck, Andrew; Chenevix-Trench, Georgia; Pharoah, Paul D P; Gayther, Simon A

    2010-10-01

    Epithelial ovarian cancer (EOC) is the leading cause of death from gynecological malignancy in the developed world, accounting for 4% of the deaths from cancer in women. We performed a three-phase genome-wide association study of EOC survival in 8,951 individuals with EOC (cases) with available survival time data and a parallel association analysis of EOC susceptibility. Two SNPs at 19p13.11, rs8170 and rs2363956, showed evidence of association with survival (overall P = 5 × 10⁻⁴ and P = 6 × 10⁻⁴, respectively), but they did not replicate in phase 3. However, the same two SNPs demonstrated genome-wide significance for risk of serous EOC (P = 3 × 10⁻⁹ and P = 4 × 10⁻¹¹, respectively). Expression analysis of candidate genes at this locus in ovarian tumors supported a role for the BRCA1-interacting gene C19orf62, also known as MERIT40, which contains rs8170, in EOC development. PMID:20852633

  11. Polymorphisms and Plasma Levels of Tissue Inhibitor of Metalloproteinase-3: Impact on Genetic Susceptibility and Clinical Outcome of Oral Cancer.

    Science.gov (United States)

    Su, Chun-Wen; Huang, Yi-Wen; Chen, Mu-Kuan; Su, Shih-Chi; Yang, Shun-Fa; Lin, Chiao-Wen

    2015-11-01

    Oral cancer, the fourth most common cancer among men in Taiwan, is associated with environmental carcinogens. Tissue inhibitor of metalloproteinase-3 (TIMP3), a member of the TIMP family, is the only protein that binds to the extracellular matrix for suppressing cancer cell growth, angiogenesis, migration, and invasion. The association of TIMP3 polymorphism with oral cancer susceptibility, however, has not yet been reported. In this study, 1947 participants-1200 healthy male controls and 747 male patients with oral cancer-were recruited. Allelic discrimination of TIMP3 -1296 T > C (rs9619311), TIMP3 C > T (rs9862), and TIMP3 C > T (rs11547635) polymorphisms were assessed through real-time polymerase chain reaction. The authors discovered that individuals carrying the polymorphic rs9862 allele are more susceptible to oral cancer [odds ratio (OR), 1.5; 95% confidence interval (CI), 1.2-1.9; adjusted OR (AOR), 1.6; 95% CI, 1.2-2.1] after adjustment for betel quid chewing, alcohol, and tobacco consumption. Among 601 betel quid chewers, the TIMP3 polymorphism rs9862 T/T carriers had a 32.2-fold (95% CI, 20.2-51.3) increased oral cancer risk compared with those carrying C/C and not chewing betel quid. In addition, the authors observed a significant association between rs9862 variants and large tumors (OR, 1.5; 95% CI, 1.0-2.3) development. Moreover, TIMP3 plasma levels significantly increased in oral cancer patients who have large tumor or carry T allele rs9862 polymorphism. In conclusion, these results suggest that gene-environment interactions between the TIMP3 rs9862 polymorphisms and betel quid may alter oral cancer susceptibility and tumor growth in Taiwanese men.

  12. Combined effects of IL-8 and CXCR2 gene polymorphisms on breast cancer susceptibility and aggressiveness

    Directory of Open Access Journals (Sweden)

    Helal Ahmed N

    2010-06-01

    Full Text Available Abstract Background Interleukin-8 (IL-8/CXCL-8 is a prototype of the ELR+CXC chemokines that play an important role in the promotion and progression of many human cancers including breast cancer. We have recently showed the implication of polymorphism (-251 T/A of IL-8 gene in the susceptibility and prognosis of breast carcinoma. IL-8 acts through its CXCR1 and CXCR2 receptors. CXCR2, expressed on the endothelial cells, is the receptor involved in mediating the angiogenic effects of ELR+CXC chemokines and in particular IL-8. In the current study, we investigated the susceptibility and prognostic implications of the genetic variation in CXCR2 in breast carcinoma. We also confirmed the implication of IL-8 (-251 T/A polymorphism in a larger cohort. Finally, we combined the IL-8 and CXCR2 variant alleles and analyzed their effects in breast cancer risk and prognosis. Methods We used the allele-specific polymerase chain reaction to characterize the variation of IL-8 and CXCR2 for 409 unrelated Tunisian patients with breast carcinoma and 301 healthy control subjects. To estimate the relative risks, Odds ratios and 95% confidence intervals were calculated using unconditional logistic regression after adjusting for the known risk factors for breast cancer. Associations of the genetic marker with the rates of breast carcinoma-specific overall survival and disease-free survival were assessed using univariate and multivariate analyses. Results A highly significant association was found between the homozygous CXCR2 (+ 1208 TT genotype (adjusted OR = 2.89; P = 0.008 and breast carcinoma. A significantly increased risk of breast carcinoma was associated with IL-8 (-251 A allele (adjusted OR = 1.86; P = 0.001. The presence of two higher risk genotypes (the TA and TT in IL-8, and the TT in CXCR2 significantly increased the risk of developing breast carcinoma (adjusted OR = 4.15; P = 0.0004. The CXCR2 (+ 1208 T allele manifested a significant association with an

  13. Gly71Arg UGT1A1 polymorphism is associated with breast cancer susceptibility in Han Chinese women.

    Science.gov (United States)

    Shi, J; Li, L H; Duan, X Y; Liu, Q; Sun, L L; Tian, Y T

    2016-01-01

    Breast cancer is among the most common causes of cancer-related death in women worldwide. Previous studies have demonstrated an association between prolonged estrogen exposure and increased risk of breast cancer. Uridine 5'-diphospho-glucuronosyltransferase 1-1 (UGT1A1) plays a significant role in the detoxification of estrogens. Two major genetic polymorphisms have been identified in the UGT1A1 locus. UGT1A1*28 has been previously linked to increased risk of breast cancer. The aim of this study was to elucidate the possible correlation between UGT1A1*6, a single nucleotide polymorphism causing a Gly71Arg substitution, and breast cancer susceptibility. Forty-six women diagnosed with breast cancer, 15 patients with gastrointestinal cancer, and 13 healthy women were recruited to this study. The genotype in the polymorphic UGT1A1 locus was determined by DNA sequencing. The frequency of each genotype was compared among the three groups. The frequency of the UGT1A1*6 allele was significantly higher in breast cancer and gastrointestinal cancer patients than that in healthy females (both P 0.05). Therefore, the UGT1A1*6 polymorphism was deduced to be a risk factor for breast cancer in women of Han Chinese ethnicity. UGT1A1 may serve as a therapeutic target for the prevention and treatment of breast cancer and other estrogen-related diseases. PMID:27525948

  14. Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor-Positive, Lower Grade Breast Cancer

    DEFF Research Database (Denmark)

    Milne, Roger L; Goode, Ellen L; García-Closas, Montserrat;

    2011-01-01

    Consortium. METHODS: Data were combined from 37 studies, including 40,972 invasive cases, 1,398 cases of ductal carcinoma in situ (DCIS), and 46,334 controls, all of white European ancestry, as well as 3,007 invasive cases and 2,337 controls of Asian ancestry. Associations overall and by tumor invasiveness......, and 3/4, respectively; P(trend) = 5 × 10(-7)]. CONCLUSION: 5p12 is a breast cancer susceptibility locus for PR-positive, lower grade breast cancer. Impact: Multicenter fine-mapping studies of this region are needed as a first step to identifying the causal variant or variants. Cancer Epidemiol...

  15. The dynamics and prognostic potential of DNA methylation changes at stem cell gene loci in women's cancer.

    Directory of Open Access Journals (Sweden)

    Joanna Zhuang

    2012-02-01

    Full Text Available Aberrant DNA methylation is an important cancer hallmark, yet the dynamics of DNA methylation changes in human carcinogenesis remain largely unexplored. Moreover, the role of DNA methylation for prediction of clinical outcome is still uncertain and confined to specific cancers. Here we perform the most comprehensive study of DNA methylation changes throughout human carcinogenesis, analysing 27,578 CpGs in each of 1,475 samples, ranging from normal cells in advance of non-invasive neoplastic transformation to non-invasive and invasive cancers and metastatic tissue. We demonstrate that hypermethylation at stem cell PolyComb Group Target genes (PCGTs occurs in cytologically normal cells three years in advance of the first morphological neoplastic changes, while hypomethylation occurs preferentially at CpGs which are heavily Methylated in Embryonic Stem Cells (MESCs and increases significantly with cancer invasion in both the epithelial and stromal tumour compartments. In contrast to PCGT hypermethylation, MESC hypomethylation progresses significantly from primary to metastatic cancer and defines a poor prognostic signature in four different gynaecological cancers. Finally, we associate expression of TET enzymes, which are involved in active DNA demethylation, to MESC hypomethylation in cancer. These findings have major implications for cancer and embryonic stem cell biology and establish the importance of systemic DNA hypomethylation for predicting prognosis in a wide range of different cancers.

  16. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    K.B. Kuchenbaecker (Karoline); S.L. Neuhausen (Susan); M. Robson (Mark); D. Barrowdale (Daniel); L. McGuffog (Lesley); A.M. Mulligan (Anna Marie); I.L. Andrulis (Irene); A.B. Spurdle (Amanda); M.K. Schmidt (Marjanka); R.K. Schmutzler (Rita); C. Engel (Christoph); B. Wapenschmidt (Barbara); H. Nevanlinna (Heli); M. Thomassen (Mads); M.C. Southey (Melissa); P. Radice (Paolo); S.J. Ramus (Susan); S.M. Domchek (Susan); K.L. Nathanson (Katherine); A. Lee (Andrew); S. Healey (Sue); R. Nussbaum (Robert); R. Rebbeck (Timothy); B.K. Arun (Banu); M. James (Margaret); B. Karlan; K.J. Lester (Kathryn); I. Cass (Ilana); M.B. Terry (Mary Beth); M.J. Daly (Mark); D. Goldgar (David); S.S. Buys (Saundra); R. Janavicius (Ramunas); L. Tihomirova (Laima); N. Tung (Nadine); C.M. Dorfling (Cecilia); E.J. van Rensburg (Elizabeth); L. Steele (Linda); T. v O Hansen (Thomas); B. Ejlertsen (Bent); A-M. Gerdes (Anne-Marie); F. Nielsen (Finn); J. Dennis (Joe); J.M. Cunningham (Julie); S. Hart (Stewart); S. Slager (Susan); A. Osorio (Ana); J. Benítez (Javier); M. Duran (Mercedes); J.N. Weitzel (Jeffrey); I. Tafur (Isaac); M. Hander (Mary); P. Peterlongo (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); G. Roversi (Gaia); G. Scuvera (Giulietta); B. Bonnani (Bernardo); P. Mariani (Paolo); S. Volorio (Sara); R. Dolcetti (Riccardo); L. Varesco (Liliana); L. Papi (Laura); M.G. Tibiletti (Maria Grazia); G. Giannini (Giuseppe); F. Fostira (Florentia); I. Konstantopoulou (I.); J. Garber (Judy); U. Hamann (Ute); A. Donaldson (Alan); C. Brewer (Carole); C. Foo (Claire); D.G. Evans (Gareth); D. Frost (Debra); D. Eccles (Diana); F. Douglas (Fiona); A. Brady (A.); J. Cook (Jackie); M. Tischkowitz (Marc); L. Adlard; J. Barwell (Julian); K. Ong; L.J. Walker (Lisa); L. Izatt (Louise); L. Side (Lucy); M.J. Kennedy (John); M.T. Rogers (Mark); M.E. Porteous (Mary); P.J. Morrison (Patrick); R. Platte (Radka); R. Eeles (Ros); R. Davidson (Rosemarie); S. Hodgson (Shirley); S.D. Ellis (Steve); A.K. Godwin (Andrew); K. Rhiem (Kerstin); A. Meindl (Alfons); N. Ditsch (Nina); N. Arnold (Norbert); H. Plendl (Hansjoerg); D. Niederacher (Dieter); C. Sutter (Christian); D. Steinemann (Doris); N. Bogdanova-Markov (Nadja); K. Kast (Karin); R. Varon-Mateeva (Raymonda); S. Wang-Gohrke (Shan); P.A. Gehrig (Paola A.); B. Markiefka (Birgid); B. Buecher (Bruno); C. Lefol (Cédrick); D. Stoppa-Lyonnet (Dominique); E. Rouleau (Etienne); F. Prieur (Fabienne); F. Damiola (Francesca); L. Barjhoux (Laure); L. Faivre (Laurence); M. Longy (Michel); N. Sevenet (Nicolas); O. Sinilnikova (Olga); S. Mazoyer (Sylvie); V. Bonadona (Valérie); V. Caux-Moncoutier (Virginie); C. Isaacs (Claudine); T. Van Maerken (Tom); K.B.M. Claes (Kathleen B.M.); M. Piedmonte (Marion); L. Andrews (Lesley); J. Hays (John); G.C. Rodriguez (Gustavo); T. Caldes (Trinidad); M. de La Hoya (Miguel); S. Khan (Sofia); F.B.L. Hogervorst (Frans); C.M. Aalfs (Cora); J.L. de Lange (J.); E.J. Meijers-Heijboer (Hanne); A.H. van der Hout (Annemarie); J.T. Wijnen (Juul); K.E. van Roozendaal (Kees); A.R. Mensenkamp (Arjen); A.M.W. van den Ouweland (Ans); C.H.M. van Deurzen (Carolien); R.B. van der Luijt (Rob); E. Olah; O. Díez (Orland); C. Lazaro (Conxi); I. Blanco (Ignacio); A. Teulé (A.); M. Menéndez (Mireia); A. Jakubowska (Anna); J. Lubinski (Jan); C. Cybulski (Cezary); J. Gronwald (Jacek); K. Jaworska-Bieniek (Katarzyna); K. Durda (Katarzyna); A. Arason (Adalgeir); C. Maugard; P. Soucy (Penny); M. Montagna (Marco); S. Agata (Simona); P.J. Teixeira; C. Olswold (Curtis); N.M. Lindor (Noralane); V.S. Pankratz (Shane); B. Hallberg (Boubou); X. Wang (Xianshu); C. Szabo (Csilla); J. Vijai (Joseph); L. Jacobs (Lauren); M. Corines (Marina); A. Lincoln (Anne); A. Berger (Andreas); A. Fink-Retter (Anneliese); C.F. Singer (Christian); C. Rappaport (Christine); D.G. Kaulich (Daphne Gschwantler); G. Pfeiler (Georg); M.-K. Tea; C. Phelan (Catherine); P.L. Mai (Phuong); M.H. Greene (Mark); G. Rennert (Gad); E.N. Imyanitov (Evgeny); G. Glendon (Gord); A.E. Toland (Amanda); A. Bojesen (Anders); I.S. Pedersen (Inge Sokilde); U.B. Jensen; M.A. Caligo (Maria); E. Friedman (Eitan); R. Berger (Raanan); Y. Laitman (Yael); J. Rantala (Johanna); B. Arver (Brita Wasteson); N. Loman (Niklas); Å. Borg (Åke); H. Ehrencrona (Hans); O.I. Olopade (Olofunmilayo); J. Simard (Jacques); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); K. Offit (Kenneth); F.J. Couch (Fergus); A.C. Antoniou (Antonis C.); CIMBA; EMBRACE Study; Breast Cancer Family; GEMO Study Collaborators; HEBON; KConFab Investigators

    2014-01-01

    textabstractIntroduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 muta

  17. Evaluation of candidate stromal epithelial cross-talk genes identifies association between risk of serous ovarian cancer and TERT, a cancer susceptibility "hot-spot"

    DEFF Research Database (Denmark)

    Johnatty, Sharon E; Beesley, Jonathan; Chen, Xiaoqing;

    2010-01-01

    We hypothesized that variants in genes expressed as a consequence of interactions between ovarian cancer cells and the host micro-environment could contribute to cancer susceptibility. We therefore used a two-stage approach to evaluate common single nucleotide polymorphisms (SNPs) in 173 genes...... involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC). In the discovery stage, cases with epithelial ovarian cancer (n=675) and controls (n=1,162) were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three...... with ovarian cancer risk in the smaller, five-study replication study (Pper-allele=0.03). Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. ORper-allele 1.14 (1.04-1.24) p=0.003]. Our study adds...

  18. Association of Wnt signaling pathway genetic variants in gallbladder cancer susceptibility and survival.

    Science.gov (United States)

    Yadav, Anu; Gupta, Annapurna; Yadav, Saurabh; Rastogi, Neeraj; Agrawal, Sushma; Kumar, Ashok; Kumar, Vijay; Misra, Sanjeev; Mittal, Balraj

    2016-06-01

    Gallbladder cancer (GBC) is the most common malignancy of the biliary tract with adverse prognosis and poor survival. Wnt signaling plays an important role in embryonic development and regeneration of tissues in all the species. Deregulation of expression and mutations in this pathway may lead to disease state such as cancer. In this study, we assessed the association of common germline variants of Wnt pathway genes (SFRP2, SFRP4, DKK2, DKK3, WISP3, APC, β-catenin, AXIN-2, GLI-1) to evaluate their contribution in predisposition to GBC and treatment outcomes. The study included 564 GBC patients and 250 controls. Out of 564, 200 patients were followed up for treatment response and survival. Tumor response (RECIST 1.1) was recorded in 116 patients undergoing non-adjuvant chemotherapy (NACT). Survival was assessed by Kaplan-Meier curve and Cox-proportional hazard regression. Single locus analysis showed significant association of SFRP4 rs1802073G > T [p value = 0.0001], DKK2 rs17037102C > T [p value = 0.0001], DKK3 rs3206824C > T [p value = 0.012], APC rs4595552 A/T [p value = 0.021], APC rs11954856G > T [p value = 0.047], AXIN-2 rs4791171C > T [p value = 0.001], β-catenin rs4135385A > G [p value = 0.031], and GLI-1 rs222826C > G [p value = 0.001] with increased risk of GBC. Gene-gene interaction using GMDR analysis predicted APC rs11954856 and AXIN2 rs4791171 as significant in conferring GBC susceptibility. Cox-proportional hazard model showed GLI-1 rs2228226 CG/GG and AXIN-2 rs4791171 TT genotype higher hazard ratio. In recursive partitioning, AXIN-2 rs4791171 TT genotype showed higher mortality and hazard. Most of studied genetic variants influence GBC susceptibility. APC rs11954856, GLI-1 rs2228226, and AXIN-2 rs4791171 were found to be associated with poor survival in advanced GBC patients. PMID:26715268

  19. Further evidence for the contribution of the RAD51C gene in hereditary breast and ovarian cancer susceptibility.

    Science.gov (United States)

    Vuorela, Mikko; Pylkäs, Katri; Hartikainen, Jaana M; Sundfeldt, Karin; Lindblom, Annika; von Wachenfeldt Wäppling, Anna; Haanpää, Maria; Puistola, Ulla; Rosengren, Annika; Anttila, Maarit; Kosma, Veli-Matti; Mannermaa, Arto; Winqvist, Robert

    2011-12-01

    RAD51C, a RAD51 paralogue involved in homologous recombination, is a recently established Fanconi anemia and breast cancer predisposing factor. In the initial report, RAD51C mutations were shown to confer a high risk for both breast and ovarian tumors, but most of the replication studies published so far have failed to identify any additional susceptibility alleles. Here, we report a full mutation screening of the RAD51C gene in 147 Finnish familial breast cancer cases and in 232 unselected ovarian cancer cases originating from Finland and Sweden. In addition, in order to resolve whether common RAD51C SNPs are risk factors for breast cancer, we genotyped five tagging single nucleotide polymorphisms, rs12946522, rs304270, rs304283, rs17222691, and rs28363312, all located within the gene, from 993 Finnish breast cancer cases and 871 controls for cancer associated variants. Whereas, none of the studied common SNPs associated with breast cancer susceptibility, mutation analysis revealed two clearly pathogenic alterations. RAD51C c.-13_14del27 was observed in one familial breast cancer case and c.774delT in one unselected ovarian cancer case, thus confirming that RAD51C mutations are implicated in breast and ovarian cancer predisposition, although their overall frequency seems to be low. Independent identification of the very recently reported RAD51C c.774delT mutation in yet another patient originating from Sweden suggests that it might be a recurrent mutation in that population and should be studied further. The reliable estimation of the clinical implications of carrying a defective RAD51C allele still requires the identification of additional mutation positive families. PMID:21750962

  20. Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression

    DEFF Research Database (Denmark)

    Kote-Jarai, Zsofia; Saunders, Edward J; Leongamornlert, Daniel A;

    2013-01-01

    Associations between single nucleotide polymorphisms (SNPs) at 5p15 and multiple cancer types have been reported. We have previously shown evidence for a strong association between prostate cancer (PrCa) risk and rs2242652 at 5p15, intronic in the telomerase reverse transcriptase (TERT) gene that...

  1. Association of XPC Gene Polymorphisms with Susceptibility to Prostate Cancer: Evidence from 3,936 Subjects

    Science.gov (United States)

    Zou, Yan-Feng; Tao, Jin-Hui; Ye, Qian-Ling; Pan, Hai-Feng; Pan, Fa-Ming; Su, Hong

    2013-01-01

    Aim: Polymorphisms of xeroderma pigmentosum complementation group C (XPC) are thought to have significant effects on prostate cancer (PCa) risk. The aim of our study was to evaluate the impact of XPC gene polymorphisms on PCa risk by using a meta-analysis. Methods: Data were collected from the following electronic databases: PubMed, EMBASE, Elsevier Science Direct, Cochrane Library, and CNKI, with the last report up to April 30, 2013. Odds ratios with 95% confidence intervals were used to assess the strength of the association. Results: A total of five separate case–control studies (1966 cases and 1970 controls) were included in this meta-analysis. Meta-analysis was performed for the rs2228001 and PAT+/−polymorphisms. We did not detect a significant association between rs2228001 polymorphism and PCa (p>0.05). Similar results were found in stratification analyses by ethnicity and tumor stage. We detected a significant association of PAT+/−polymorphism with PCa (p0.05). Conclusion: These analyses suggest that XPC gene PAT+/−polymorphism, but not rs2228001, likely contributes to susceptibility to PCa. PMID:24093803

  2. Detecting Susceptibility to Breast Cancer with SNP-SNP Interaction Using BPSOHS and Emotional Neural Networks.

    Science.gov (United States)

    Wang, Xiao; Peng, Qinke; Fan, Yue

    2016-01-01

    Studies for the association between diseases and informative single nucleotide polymorphisms (SNPs) have received great attention. However, most of them just use the whole set of useful SNPs and fail to consider the SNP-SNP interactions, while these interactions have already been proven in biology experiments. In this paper, we use a binary particle swarm optimization with hierarchical structure (BPSOHS) algorithm to improve the effective of PSO for the identification of the SNP-SNP interactions. Furthermore, in order to use these SNP interactions in the susceptibility analysis, we propose an emotional neural network (ENN) to treat SNP interactions as emotional tendency. Different from the normal architecture, just as the emotional brain, this architecture provides a specific path to treat the emotional value, by which the SNP interactions can be considered more quickly and directly. The ENN helps us use the prior knowledge about the SNP interactions and other influence factors together. Finally, the experimental results prove that the proposed BPSOHS_ENN algorithm can detect the informative SNP-SNP interaction and predict the breast cancer risk with a much higher accuracy than existing methods. PMID:27294121

  3. Glutathione Levels and Susceptibility to Chemically Induced Injury in Two Human Prostate Cancer Cell Lines

    Directory of Open Access Journals (Sweden)

    Lawrence H. Lash

    2015-06-01

    Full Text Available More aggressive prostate cancer cells (PCCs are often resistant to chemotherapy. Differences exist in redox status and mitochondrial metabolism that may help explain this phenomenon. Two human PCC lines, PC-3 cells (more aggressive and LNCaP cells (less aggressive, were compared with regard to cellular glutathione (GSH levels, susceptibility to either oxidants or GSH depletors, and expression of several proteins involved in apoptosis and stress response to test the hypothesis that more aggressive PCCs exhibit higher GSH concentrations and are relatively resistant to cytotoxicity. PC-3 cells exhibited 4.2-fold higher GSH concentration than LNCaP cells but only modest differences in acute cytotoxicity were observed at certain time points. However, only LNCaP cells underwent diamide-induced apoptosis. PC-3 cells exhibited higher levels of Bax and caspase-8 cleavage product but lower levels of Bcl-2 than LNCaP cells. However, LNCaP cells exhibited higher expression of Fas receptor (FasR but also higher levels of several stress response and antioxidant proteins than PC-3 cells. LNCaP cells also exhibited higher levels of several mitochondrial antioxidant systems, suggesting a compensatory response. Thus, significant differences in redox status and expression of proteins involved in apoptosis and stress response may contribute to PCC aggressiveness.

  4. Significant association among the Fas -670 A/G (rs1800682) polymorphism and esophageal cancer, hepatocellular carcinoma, and prostate cancer susceptibility: a meta-analysis.

    Science.gov (United States)

    Liu, Tao; Zuo, Li; Li, Lin; Yin, Lei; Liang, Kai; Yu, Hongyuan; Ren, Hui; Zhou, Wen; Jing, Hongwei; Liu, Yang; Kong, Chuize

    2014-11-01

    The Fas gene plays a key role in regulation of apoptotic cell death, and corruption of this signaling pathway has been shown to participate in immune escape and tumorgenesis. Single-nucleotide polymorphism in the promoter of Fas gene at position -670 A/G may affect its expression and play an important role in the pathology of many kinds of cancer. The association between Fas -670 A/G polymorphism and cancer risk is still controversial and ambiguous. Therefore, we conducted a meta-analysis of the currently literature to clarify this relationship. We conducted a search in the PubMed, EMbase, CNKI, and WanFang databases, covering all papers published by May 5, 2014. Overall, 59 case-control studies with 17,035 cases and 23,155 controls were retrieved based on the search criteria for cancer susceptibility related to -670 A/G polymorphism in Fas gene. Odds ratios (OR) and 95% confidence intervals (CI) revealed association strengths. Although no significant relationship was detected between Fas -670 A/G polymorphism and whole cancer risk, in the ethnicity subgroup, significant associations were found in three types of cancer: prostate cancer (OR = 1.06, 95% CI = 1.01-1.11 for A-allele vs. G-allele); hepatocellular carcinoma (OR = 0.89, 95% CI = 0.80-0.99 for AG vs. GG); esophageal cancer (OR = 0.95, 95% CI = 0.92-0.99 for AA + AG vs. GG). Moreover, lower cancer risk was found in smokers carried A-allele, when compared to smokers carried the GG genotype. The Fas -670 A/G polymorphism may be associated with esophageal cancer, hepatocellular carcinoma, and prostate cancer susceptibility from our meta-analysis. Studies with larger samples and gene-environment interactions are warranted to understand the role of Fas -670 A/G polymorphism for cancer risk.

  5. Evaluation of candidate stromal epithelial cross-talk genes identifies association between risk of serous ovarian cancer and TERT, a cancer susceptibility "hot-spot".

    Directory of Open Access Journals (Sweden)

    Sharon E Johnatty

    2010-07-01

    Full Text Available We hypothesized that variants in genes expressed as a consequence of interactions between ovarian cancer cells and the host micro-environment could contribute to cancer susceptibility. We therefore used a two-stage approach to evaluate common single nucleotide polymorphisms (SNPs in 173 genes involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC. In the discovery stage, cases with epithelial ovarian cancer (n=675 and controls (n=1,162 were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three SNPs-PODXL rs1013368, ITGA6 rs13027811, and MMP3 rs522616-were selected for replication using TaqMan genotyping in up to 3,059 serous invasive cases and 8,905 controls from 16 OCAC case-control studies. An additional 18 SNPs with Pper-alleleor=0.5. However genotypes at TERT rs7726159 were associated with ovarian cancer risk in the smaller, five-study replication study (Pper-allele=0.03. Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. ORper-allele 1.14 (1.04-1.24 p=0.003]. Our study adds to the growing evidence that, like the 8q24 locus, the telomerase reverse transcriptase locus at 5p15.33, is a general cancer susceptibility locus.

  6. Evaluation of candidate stromal epithelial cross-talk genes identifies association between risk of serous ovarian cancer and TERT, a cancer susceptibility "hot-spot"

    DEFF Research Database (Denmark)

    Johnatty, Sharon E; Beesley, Jonathan; Chen, Xiaoqing;

    2010-01-01

    involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC). In the discovery stage, cases with epithelial ovarian cancer (n=675) and controls (n=1,162) were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three...... with ovarian cancer risk in the smaller, five-study replication study (Pper-allele=0.03). Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. ORper-allele 1.14 (1.04-1.24) p=0.003]. Our study adds...... to the growing evidence that, like the 8q24 locus, the telomerase reverse transcriptase locus at 5p15.33, is a general cancer susceptibility locus....

  7. Speciation and antifungal susceptibility of esophageal candidiasis in cancer patients in a tertiary care hospital in South India

    Directory of Open Access Journals (Sweden)

    J. Abirami Lakshmy

    2016-01-01

    Full Text Available Esophageal candidiasis is the most common opportunistic infection in patients with altered immunity such as Human Immunodeficiency Virus (HIV infection, cancer patients on chemotherapy and radiotherapy. Neutropenia, irradiation and chemotherapy will facilitate deeper mucosal invasion leading to esophageal candidiasis. Empirical treatment of esophageal candidiasis without antifungal susceptibility testing will lead to the emergence of drug resistant species increasing the morbidity and mortality associated with cancer. The present study aimed to study the frequency of esophageal candida in individuals with cancer, species level identification and antifungal susceptibility pattern. Scrapings of whitish appearing lesions were obtained from a total of thirty five cases of endoscopically identified esophageal candidiasis were obtained from cancer patients. Identification of the Candida isolates were done by cultivation in Sabouraud dextrose agar (SDA, Gram staining, germ tube test, colony morphology in Chrom agar and corn meal agar, sugar assimilation and fermentation tests. Antifungal susceptibility was done by Microbroth dilution method for Fluconazole, Itraconazole and Amphotericin B. We found that Candida albicans was the predominant species isolated followed by Candida tropicalis and Candida glabrata. Sensitivity rates were 94%, 96% and 100% for Fluconazole, Itraconazole and Amphotericin B. Species level identification of Candida isolated from esophageal candidiasis and their antifungal sensitivity testing should be performed for early identification of resistant strains and for promptly treating the cases there by preventing the dissemination of infection in case of immune-compromised individuals. Further the susceptibility pattern will facilitate therapeutic guidance especially in individuals prone to relapse. [J Med Allied Sci 2016; 6(1: 29-34

  8. Diagnosis of oral fungal infection in patients undergoing head and neck cancer radiation. Antifungal susceptibility of isolates

    International Nuclear Information System (INIS)

    Radiotherapy adverse effects are very common, they contribute to development of opportunistic infections. Genus Candida is often associated with oral diseases in susceptible patients. The aim of this study was to study the presence of yeast in oral lesions, in patients receiving radiotherapy for head and neck cancer, and to evaluate antifungal susceptibility of isolates. Swabs of oral mucosal lesions of 76 patients were studied. Antifungal susceptibility of the isolates was evaluated, with ATB Fungus-3 method, which tests 5-fluorcitosine (5-FC), amphotericin B (AMB), fluconazole (FCA), itraconazole (ITR) and voriconazole (VRC); and allows the estimation of the minimum inhibitory concentration (MIC). Yeasts were isolated in 74% of samples, being Candida albicans, most frequent specie (53%), followed by C.tropicalis (24%), C.parapsilosis (14%), C.krusei (5%), C.dubliniensis (2%) and Saccharomyces cerevisiae (2%). All strains were susceptible to VRC. For other antifungals, there were resistant or dose-dependent-susceptible strains. Only C.krusei was resistant to the FCA. About AMB, 2 isolates of C. tropicalis presented a value of 2 mg/l MIC, dose with high incidence of adverse effects. These studies are important to establish early and suitable therapy, wich contribute to achieve lowers rates of disseminated forms of candidiasis, and to reduce the difficulties in food intake that carries the presence of oral lesions. (authors)

  9. Meta-Analysis of a Multi-Ethnic, Breast Cancer Case-Control Targeted Sequencing Study

    OpenAIRE

    Ablorh, Akweley

    2015-01-01

    Breast cancer, the most commonly diagnosed cancer in American women, is a heritable disease with nearly one hundred known genetic risk factors. Using next generation sequencing, we explored the contribution of genetics at 12 GWAS-identified loci to breast cancer susceptibility in a multi-ethnic breast cancer case-control study. Methods: The study population consists of 4,611 breast cancer cases and controls (2,316 cases and 2,295 controls) from four mutually exclusive ethnicities: Africa...

  10. The application of nonsense-mediated mRNA decay inhibition to the identification of breast cancer susceptibility genes

    Directory of Open Access Journals (Sweden)

    Johnson Julie K

    2012-06-01

    Full Text Available Abstract Background Identification of novel, highly penetrant, breast cancer susceptibility genes will require the application of additional strategies beyond that of traditional linkage and candidate gene approaches. Approximately one-third of inherited genetic diseases, including breast cancer susceptibility, are caused by frameshift or nonsense mutations that truncate the protein product 1. Transcripts harbouring premature termination codons are selectively and rapidly degraded by the nonsense-mediated mRNA decay (NMD pathway. Blocking the NMD pathway in any given cell will stabilise these mutant transcripts, which can then be detected using gene expression microarrays. This technique, known as gene identification by nonsense-mediated mRNA decay inhibition (GINI, has proved successful in identifying sporadic nonsense mutations involved in many different cancer types. However, the approach has not yet been applied to identify germline mutations involved in breast cancer. We therefore attempted to use GINI on lymphoblastoid cell lines (LCLs from multiple-case, non- BRCA1/2 breast cancer families in order to identify additional high-risk breast cancer susceptibility genes. Methods We applied GINI to a total of 24 LCLs, established from breast-cancer affected and unaffected women from three multiple-case non-BRCA1/2 breast cancer families. We then used Illumina gene expression microarrays to identify transcripts stabilised by the NMD inhibition. Results The expression profiling identified a total of eight candidate genes from these three families. One gene, PPARGC1A, was a candidate in two separate families. We performed semi-quantitative real-time reverse transcriptase PCR of all candidate genes but only PPARGC1A showed successful validation by being stabilised in individuals with breast cancer but not in many unaffected members of the same family. Sanger sequencing of all coding and splice site regions of PPARGC1A did not reveal any protein

  11. Importance of TP53 codon 72 and intron 3 duplication 16bp polymorphisms in prediction of susceptibility on breast cancer

    International Nuclear Information System (INIS)

    TP53 is one of major tumour suppressor genes being essential in preservation of genome integrity. Two very common polymorphisms have been demonstrated to contribute to cancer susceptibility and tumour behaviour. The purpose of this study was to evaluate the role of Arg72Pro and PIN3 Ins16bp polymorphisms in TP53 gene as genetic susceptibility and predictive markers to breast cancer. We analysed DNA samples from 264 breast cancer patients and 440 controls, for TP53 Arg72Pro and PIN3 Ins16bp polymorphisms using PCR-RFLP. We observed that women with A2A2 genotype have increased risk for developing breast cancer, either in women with or without familial history (FH) of the disease (OR = 4.40, 95% CI 1.60–12.0; p = 0.004; OR = 3.88, 95% CI 1.18–12.8; p = 0.026, respectively). In haplotype analysis, statistically significant differences were found between TP53 Arg-A2 haplotype frequencies and familial breast cancer cases and the respective control group (OR = 2.10, 95% CI 1.08–4.06; p = 0.028). Furthermore, both TP53 polymorphisms are associated with higher incidence of lymph node metastases. Our findings suggest TP53 PIN3 Ins16bp polymorphism as a real risk modifier in breast cancer disease, either in sporadic and familial breast cancer. Furthermore, both TP53 polymorphisms are associated with higher incidence of lymph node metastases

  12. 肺癌遗传易感性研究进展%Research progress on genetic susceptibility to lung cancer

    Institute of Scientific and Technical Information of China (English)

    陆丽杰

    2016-01-01

    Lung cancer is currently one of the most common malignant tumors in the world, with an increasing trend of morbidity and mortality.The major causes of lung cancer are inhaled carcinogens, such as tobacco and environmental pollution, but a growing number of researches suggest that the incidence of lung cancer is closely related to genetic factors.In the past few years, great progress has been made in research on single nucleotide polymorphism of susceptibility gene in lung cancer, and the most studies that have aimed to ultimately provide scientific basis for preventing and controlling the lung cancer have focused on screening of lung cancer etiology and developing gene therapy.In this review, the new findings of genetic susceptibility in lung cancer have been summarized.%肺癌是目前全球范围内最常见的恶性肿瘤之一,发病率和病死率均呈上升趋势.烟草、环境污染物质等吸入性致癌物是引发肺癌的主要因素,但越来越多的研究表明肺癌发病与遗传因素关系密切.近年来,对肺癌易感基因单核苷酸多态性的研究取得了较大进展,全球学者致力于筛选肺癌病因、寻找基因治疗方法,最终为预防和控制肺癌提供科学依据.文章针对目前肺癌遗传易感性研究进展作一综述.

  13. Haplotypes of nine single nucleotide polymorphisms on chromosome 19q13.2-3 associated with susceptibility of lung cancer in a Chinese population

    DEFF Research Database (Denmark)

    Yin, Jiaoyang; Vogel, Ulla Birgitte; Ma, Yegang;

    2008-01-01

    suggested that the biologically effective polymorphisms co-segregate with some of the haplotypes. This result supports the hypothesis that the sub-region is important for lung cancer susceptibility. Haplotype studies using larger study groups will be required to obtain conclusive results. (C) 2008 Elsevier......To evaluate the joint effect of nine single nucleotide polymorphisms for three DNA repair genes in the region of chromosome 19q13.2-3 on susceptibility of lung cancer in a Chinese population, we conducted a hospital-based case-control study consisting of 247 lung cancer cases and 253 cancer...

  14. The Polymorphism of DNA Repair Gene ERCC2/XPD Arg156Arg and Susceptibility to Breast Cancer in a Chinese Population

    DEFF Research Database (Denmark)

    Yin, J. Y.; Liang, D. H.; Vogel, Ulla Birgitte;

    2009-01-01

    Polymorphisms in DNA repair genes are good candidates for modifying cancer risk. ERCC2/XPD, a gene involved in nucleotide excision repair and basal transcription, may influence individual DNA repair capacity, particularly of bulky adducts. This is implicated in cancer susceptibility. To detect...... the association between ERCC2/XPD Arg156Arg and susceptibility to breast cancer in a Chinese population, we conducted a hospital-based case-control study consisting of 129 patients with breast cancer and 205 controls matched by age, gender, and ethnicity. PCR-RFLP was used for genotyping. No associations were...

  15. Fine-scale mapping of the 4q24 locus identifies & pr two Independent loci associated with breast cancer risk

    NARCIS (Netherlands)

    X. Guo (Xingyi); J. Long (Jirong); C. Zeng (Chenjie); K. Michailidou (Kyriaki); M. Ghoussaini (Maya); M.K. Bolla (Manjeet); Q. Wang (Qing); R.L. Milne (Roger L.); X.-O. Shu (Xiao-Ou); Q. Cai (Qiuyin); J. Beesley (Jonathan); S. Kar (Siddhartha); I.L. Andrulis (Irene); H. Anton-Culver (Hoda); V. Arndt (Volker); M.W. Beckmann (Matthias W.); A. Beeghly-Fadiel (Alicia); J. Benítez (Javier); W.J. Blot (William); N.V. Bogdanova (Natalia); S.E. Bojesen (Stig); H. Brauch (Hiltrud); H. Brenner (Hermann); L.A. Brinton (Louise); A. Broekss (Annegien); T. Brüning (Thomas); B. Burwinkel (Barbara); H. Cai (Hui); S. Canisius (Sander); J. Chang-Claude (Jenny); J.-Y. Choi (J.); F.J. Couch (Fergus); A. Cox (Angela); S.S. Cross (Simon); K. Czene (Kamila); H. Darabi (Hatef); P. Devilee (Peter); A. Droit (Arnaud); T. Dörk (Thilo); P.A. Fasching (Peter); O. Fletcher (Olivia); H. Flyger (Henrik); F. Fostira (Florentia); V. Gaborieau (Valerie); M. García-Closas (Montserrat); G.G. Giles (Graham G.); M. Grip (Mervi); P. Guénel (Pascal); C.A. Haiman (Christopher A.); U. Hamann (Ute); J.M. Hartman (Joost); A. Hollestelle (Antoinette); J.L. Hopper (John L.); C.-N. Hsiung (Chia-Ni); H. Ito (Hidemi); A. Jakubowska (Anna); N. Johnson (Nichola); M. Kabisch (Maria); D. Kang (Daehee); S. Khan (Sofia); J.A. Knight (Julia); V-M. Kosma (Veli-Matti); D. Lambrechts (Diether); L. Le Marchand (Loic); J. Li (Jingmei); A. Lindblom (Annika); A. Lophatananon (Artitaya); J. Lubinski (Jan); A. Mannermaa (Arto); S. Manoukian (Siranoush); S. Margolin (Sara); F. Marme (Federick); K. Matsuo (Keitaro); C.A. McLean (Catriona Ann); A. Meindl (Alfons); K. Muir (Kenneth); S.L. Neuhausen (Susan); H. Nevanlinna (Heli); S. Nord (Silje); J.E. Olson (Janet); N. Orr (Nick); P. Peterlongo (Paolo); T.C. Putti (Thomas Choudary); A. Rudolph (Anja); S. Sangrajrang (Suleeporn); E.J. Sawyer (Elinor); M.K. Schmidt (Marjanka); R.K. Schmutzler (Rita); C-Y. Shen (Chen-Yang); J. Shi (Jiajun); M. Shrubsole (Martha); M.C. Southey (Melissa); A.J. Swerdlow (Anthony ); S.H. Teo (Soo Hwang); B. Thienpont (Bernard); A.E. Toland (Amanda); R.A.E.M. Tollenaar (Rob); I. Tomlinson (Ian); T. Truong (Thérèse); C.-C. Tseng (Chiu-chen); A.M.W. van den Ouweland (Ans); W. Wen (Wanqing); R. Winqvist (Robert); A. Wu (Anna); C.H. Yip (Cheng Har); M.P. Zamora (Pilar); Y. Zheng (Ying); P. Hall (Per); P.D.P. Pharoah (Paul); J. Simard (Jacques); G. Chenevix-Trench (Georgia); A.M. Dunning (Alison); D.F. Easton (Douglas F.); W. Zheng (Wei); R. Eeles (Rosalind); A.A. Al Olama (Ali Amin); Z. Kote-Jarai; S. Benlloch (Sara); A.C. Antoniou (Antonis C.); L. McGuffog (Lesley); K. Offit (Kenneth); A. Lee (Andrew); E. Dicks (Ed); C. Luccarini (Craig); D.C. Tessier (Daniel C.); F. Bacot (Francois); D. Vincent (Daniel); S. La Boissière (Sylvie); F. Robidoux (Frederic); S.F. Nielsen (Sune); J.M. Cunningham (Julie); S.A. Windebank (Sharon A.); C.A. Hilker (Christopher A.); J. Meyer (Jeffrey); M. Angelakos (Maggie); J. Maskiell (Judi); E.J. Rutgers (Emiel J.); S. Verhoef; F.B.L. Hogervorst (Frans); P. Boonyawongviroj (Prat); P. Siriwanarungsan (Pornthep); A. Schrauder (André); M. Rübner (Matthias); S. Oeser (Sonja); S. Landrith (Silke); E. Williams (Eileen); E. Ryder-Mills (Elaine); K. Sargus (Kara); N. McInerney (Niall); G. Colleran (Gabrielle); A. Rowan (Andrew); A. Jones (Angela); C. Sohn (Christof); A. Schneeweiß (Andeas); P. Bugert (Peter); N. Álvarez (Nuria); L. Bernstein (Leslie); J. Lacey (James); S. Wang (Sophia); H. Ma (Huiyan); Y. Lu (Yani); J. Clague De Hart (Jessica); D. Deapen (Dennis); R. Pinder (Rich); E. Lee (Eunjung); F.R. Schumacher (Fredrick); P. Horn-Ross (Pam); P. Reynolds (Peggy); D. Nelson (David); H. Park (Hannah); H. Ziegler (Hartwig); S. Wolf (Sonja); V. Hermann (Volker); W.-Y. Lo (Wing-Yee); C. Justenhoven (Christina); Y.-D. Ko (Yon-Dschun); C. Baisch (Christian); H.-P. Fischer (Hans-Peter); B. Pesch (Beate); S. Rabstein (Sylvia); A. Lotz (Anne); V. Harth (Volker); T. Heikkinen (Tuomas); I. Erkkilä (Irja); K. Aaltonen (Kirsimari); K. von Smitten (Karl); N.N. Antonenkova (Natalia); P. Hillemanns (Peter); H. Christiansen (Hans); E. Myöhänen (Eija); H. Kemiläinen (Helena); H. Thorne (Heather); E. Niedermayr (Eveline); D. Bowtell; G. Chenevix-Trench (Georgia); A. De Fazio (Anna); D. Gertig; A. Green; P. Webb (Penny); A. Green; P. Parsons; N. Hayward; P.M. Webb (P.); D. Whiteman; A. Fung (Annie); J. Yashiki (June); G. Peuteman (Gilian); D. Smeets (Dominiek); T. Van Brussel (Thomas); K. Corthouts (Kathleen); N. Obi (Nadia); J. Heinz (Judith); T.W. Behrens (Timothy); U. Eilber (Ursula); M. Celik (Muhabbet); T. Olchers (Til); B. Peissel (Bernard); G. Scuvera (Giulietta); D. Zaffaroni (Daniela); B. Bonnani (Bernardo); I. Feroce (Irene); A. Maniscalco (Angela); A. Rossi (Alessandra); L. Bernard (Loris); M. Tranchant (Martine); M.-F. Valois (Marie-France); A. Turgeon (Annie); L. Heguy (Lea); P.S. Yee (Phuah Sze); P. Kang (Peter); K.I. Nee (Kang In); S. Mariapun (Shivaani); Y. Sook-Yee (Yoon); D.S.C. Lee (Daphne S.C.); T.Y. Ching (Teh Yew); N.A.M. Taib (Nur Aishah Mohd); M. Otsukka (Meeri); K. Mononen (Kari); T. Selander (Teresa); N. Weerasooriya (Nayana); E.M.M. Krol-Warmerdam (Elly); J. Molenaar; J. Blom; N. Szeszenia-Dabrowska (Neonilia); B. Peplonska (Beata); W. Zatonski (Witold); P. Chao (Pei); M. Stagner (Michael); P. Bos (Petra); J. Blom (Jannet); E. Crepin (Ellen); A. Nieuwlaat (Anja); A. Heemskerk (Annette); S. Higham (Sue); H.E. Cramp (Helen); D. Connley (Daniel); S. Balasubramanian (Sabapathy); I.W. Brock (Ian); M. Kerin (Michael); N. Miller (Nicola); P. Kerbrat (Pierre); P. Arveux (Patrick); R. Le Scodan (Romuald); Y. Raoul (Yves); P. Laurent-Puig (Pierre); C. Mulot (Claire); C. Stegmaier (Christa); K. Butterbach (Katja); J.H. Karstens (Johann); D. Flesch-Janys (Dieter); P. Seibold (Petra); A. Vrieling (Alina); S. Nickels (Stefan); P. Radice (Paolo); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); S. Kauppila (Saila); D. Conroy (Don); C. Baynes (Caroline); K. Chua (Kimberley); R. Pilarski (Robert)

    2015-01-01

    textabstractBackground: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. Methods: We conducted a fine-mapping analysis in 55,540

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

    DEFF Research Database (Denmark)

    Guo, Xingyi; Long, Jirong; Zeng, Chenjie;

    2015-01-01

    BACKGROUND: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. METHODS: We conducted a fine-mapping analysis in 55,540 breast c...

  17. Susceptibility to urinary bladder cancer: relevance of rs9642880[T], GSTM1 0/0 and occupational exposure.

    Science.gov (United States)

    Golka, Klaus; Hermes, Matthias; Selinski, Silvia; Blaszkewicz, Meinolf; Bolt, Hermann M; Roth, Gerhard; Dietrich, Holger; Prager, Hans-Martin; Ickstadt, Katja; Hengstler, Jan G

    2009-11-01

    Recently, a genome-wide single nucleotide polymorphism association study has identified a sequence variant 30 kb upstream of the c-Myc gene (allele T of rs9642880) that confers susceptibility to bladder cancer. However, the role of exposure to bladder carcinogens has not been considered. This prompted us to analyse the relevance of this polymorphism in 515 bladder cancer cases and 893 controls where the quality and quantity of occupational exposure to bladder carcinogens has been documented. When we analysed a hospital-based case-control series not selected for occupational exposure, rs9642880[T] was influential, in contrast to GSTM1 0/0. However, in a case-control series of patients that have been occupationally exposed to aromatic amines and polycyclic aromatic hydrocarbons, rs9642880[T] was not influential but GSTM1 0/0 was significantly associated with bladder cancer risk. Therefore, the degree to which rs9642880[T] and GSTM1 0/0 confer susceptibility to urinary bladder cancer seems to depend on the extent of exposure to urinary bladder carcinogens.

  18. Polymorphism of CYPIA1 and GSTM1 genes associated with susceptibility of gastric cancer in Shandong Province of China

    Institute of Scientific and Technical Information of China (English)

    Hao Li; Xue-Liang Chen; Hui-Qing Li

    2005-01-01

    AIM: To explore whether polymorphisms of the CYPIA1 and GSTM1 genes are associated with susceptibility of stomach cancer.METHODS: A total of 102 stomach cancer cases and 62 healthy persons were diagnosed by pathology in 1998-2000 in the Qilu Hospital of Shandong University. Gene polymorphisms were detected by the PCR using sequence-specific primers. Data analysis of the case-control study was carried out using the unconditional logistic method.RESULTS: After adjustment for age, sex, educational levels, and occupation, the risk factors for stomach cancer were shown to be smoking, Helicobacter pylori(H pylori),and presence of the CYPIM G/G and GSTM1 O/O genotypes.Interaction was observed between the combined genotypes of either CYPIA1 G/G and GSTM1 O/O or H pylori infection,or GSTM1 O/O and H pylori infection or smoking.CONCLUSION: Polymorphisms of the CYPIA1 and GSTM1 genes, H pylori infection and smoking are related to susceptibility to stomach cancer.

  19. Genetic polymorphisms of GSTM1, GSTP1 and GSTT1 genes and lung cancer susceptibility in the Bangladeshi population

    Institute of Scientific and Technical Information of China (English)

    Mir Muhammad Nasir Uddin; Maizbha Uddin Ahmed; Mohammad Safiqul Islam; Mohammad Siddiqul Islam; Muhammad Shahdaat Bin Sayeed; Yearul Kabir; Abul Hasnat

    2014-01-01

    To verify possible associations between polymorphisms of glutathione S-transferase Mu (GSTM1), glutathione S-transferase θ (GSTT1) and glutathione S-transferase Pi (GSTP1) genes and susceptibility to lung cancer. Methods: A total of 106 lung cancer patients and 116 controls were enrolled in a case-control study. The GSTM1 and GSTT1 were analyzed using PCR while GSTP1 was analyzed using PCR-restriction fragment length polymorphism. Risk of lung cancer was estimated as odds ratio at 95% confidence interval using unconditional logistic regression models adjusting for age, sex, and tobacco use. Results: GSTM1 null and GSTT1 null genotypes did not show a significant risk for developing lung cancer. A significantly elevated lung cancer risk was associated with GSTP1 heterozygous, mutant and combined heterozygous+mutant variants of rs1695. When classified by tobacco consumption status, no association with risk of lung cancer was found in case of tobacco smokers and nonsmokers carrying null and present genotypes of GSTM1 and GSTT1. There is a three-fold (approximately) increase in the risk of lung cancer in case of both heterozygous (AG) and heterozygous+mutant homozygous (AG+GG) genotypes whereas there is an eight-fold increase in risk of lung cancer in cases of GG with respect to AA genotype in smokers. Conclusions: Carrying the GSTM1 and GSTT1 null genotype is not a risk factor for lung cancer and GSTP1Ile105Val is associated with elevated risk of lung cancer.

  20. Genetic polymorphisms of GSTM1,GSTP1 and GSTT1 genes and lung cancer susceptibility in the Bangladeshi population

    Institute of Scientific and Technical Information of China (English)

    Mir; Muhammad; Nasir; Uddin; Maizbha; Uddin; Ahmed; Mohammad; Safiqul; Islam; Mohammad; Siddiqul; Islam; Muhammad; Shahdaat; Bin; Sayeed; Yearul; Kabir; Abul; Hasnat

    2014-01-01

    Objective:To verify possible associations between polymorphisms of glutathione S-transferase Mu(GSTM1),glutathione S-transferase θ(GSTT1) and glutathione S-transferase Pi(GSTP1)genes and susceptibility to lung cancer.Methods:A total of 106 lung cancer patients and 116 controls were enrolled in a case-control study.The GSTM1 and GSTT1 were analyzed using PCR while GSTP1 was analyzed using PCR-restriction fragment length polymorphism.Risk of lung cancer was estimated as odds ratio at 95%confidence interval using unconditional logistic regression models adjusting for age,sex,and tobacco use.Results:GSTM1 null and GSTT1 null genotypes did not show a significant risk for developing lung cancer.A significandy elevated lung cancer risk was associated with GSTP1 heterozygous,mutant and combined heterozygous+mutant variants of rs1695.When classified by tobacco consumption status,no association with risk of lung cancer was found in case of tobacco smokers and nonsmokers carrying null and present genotypes of GSTM1 and GSTTL There is a three-fold(approximately) increase in the risk of lung cancer in case of both heterozygous(AG) and heterozygous+mutant homozygous(AG+GG) genotypes whereas there is an eightfold increase in risk of lung cancer in cases of GG with respect to AA genotype in smokers.Conclusions:Carrying the GSTM1 and GSTT1 null genotype is not a risk factor for lung cancer and GSTP1Ile105 Val is associated with elevated risk of lung cancer.

  1. Genome-wide association study for colorectal cancer identifies risk polymorphisms in German familial cases and implicates MAPK signalling pathways in disease susceptibility.

    Science.gov (United States)

    Lascorz, Jesús; Försti, Asta; Chen, Bowang; Buch, Stephan; Steinke, Verena; Rahner, Nils; Holinski-Feder, Elke; Morak, Monika; Schackert, Hans K; Görgens, Heike; Schulmann, Karsten; Goecke, Timm; Kloor, Matthias; Engel, Cristoph; Büttner, Reinhard; Kunkel, Nelli; Weires, Marianne; Hoffmeister, Michael; Pardini, Barbara; Naccarati, Alessio; Vodickova, Ludmila; Novotny, Jan; Schreiber, Stefan; Krawczak, Michael; Bröring, Clemens D; Völzke, Henry; Schafmayer, Clemens; Vodicka, Pavel; Chang-Claude, Jenny; Brenner, Hermann; Burwinkel, Barbara; Propping, Peter; Hampe, Jochen; Hemminki, Kari

    2010-09-01

    Genetic susceptibility accounts for approximately 35% of all colorectal cancer (CRC). Ten common low-risk variants contributing to CRC risk have been identified through genome-wide association studies (GWASs). In our GWAS, 610 664 genotyped single-nucleotide polymorphisms (SNPs) passed the quality control filtering in 371 German familial CRC patients and 1263 controls, and replication studies were conducted in four additional case-control sets (4915 cases and 5607 controls). Known risk loci at 8q24.21 and 11q23 were confirmed, and a previously unreported association, rs12701937, located between the genes GLI3 (GLI family zinc finger 3) and INHBA (inhibin, beta A) [P = 1.1 x 10(-3), odds ratio (OR) 1.14, 95% confidence interval (CI) 1.05-1.23, dominant model in the combined cohort], was identified. The association was stronger in familial cases compared with unselected cases (P = 2.0 x 10(-4), OR 1.36, 95% CI 1.16-1.60, dominant model). Two other unreported SNPs, rs6038071, 40 kb upstream of CSNK2A1 (casein kinase 2, alpha 1 polypeptide) and an intronic marker in MYO3A (myosin IIIA), rs11014993, associated with CRC only in the familial CRC cases (P = 2.5 x 10(-3), recessive model, and P = 2.7 x 10(-4), dominant model). Three software tools successfully pointed to the overrepresentation of genes related to the mitogen-activated protein kinase (MAPK) signalling pathways among the 1340 most strongly associated markers from the GWAS (allelic P value genes involved in MAPK signalling events (P(trend) = 2.2 x 10(-16), OR(per allele) = 1.34, 95% CI 1.11-1.61).

  2. Genetic variants in insulin-like growth factor binding protein-3 are associated with prostate cancer susceptibility in Eastern Chinese Han men

    Directory of Open Access Journals (Sweden)

    Zhang G

    2015-12-01

    Full Text Available Guiming Zhang,1–3 Yao Zhu,1,2 Fang Liu,4,5 Chengyuan Gu,1,2 Haitao Chen,4,5 Jianfeng Xu,4–6 Dingwei Ye1,2 1Department of Urology, Fudan University Shanghai Cancer Center, 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 3Department of Urology, The Affiliated Hospital of Qingdao University, Shandong, 4Fudan Institute of Urology, Huashan Hospital, Fudan University, 5State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China; 6Center for Cancer Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA Background: Growing evidence has indicated that insulin-like growth factor binding protein-3 (IGFBP-3 polymorphisms are associated with altered risk of prostate cancer (PCa. However, few studies have been conducted in Chinese population to validate this association. Materials and methods: Herein, we examined the association between genetic variants in the IGFBP-3 gene and PCa risk in the Chinese Han population based on a genome-wide association study (1,417 cases and 1,008 controls, and replicated three genetic variants loci in an independent case-control study (1,755 cases and 1,523 controls using Sequenom platform. Logistic regression analyses were performed to estimate odds ratios (ORs and 95% confidence intervals (95% CIs. Results: We found that in the discovery stage, rs9691259 (OR =0.691, 95% CI: 0.587–0.814, P<0.001 and rs6950179 (OR =1.420, 95% CI: 1.201–1.677, P<0.001 were significantly associated with PCa risk, whereas rs2854744 showed a marginal association with PCa risk. In the replication stage, the association between rs9691259 and rs6950179 and PCa risk was not replicated, whereas rs2854744 conferred a significant association with PCa risk (OR =1.399, 95% CI: 1.010–1.937, P=0.043. After combining the two stages, we found that rs9691259, rs6950179, and rs2854744 were all significantly associated with PCa risk. Conclusion

  3. HSD3B and gene-gene interactions in a pathway-based analysis of genetic susceptibility to bladder cancer.

    Directory of Open Access Journals (Sweden)

    Angeline S Andrew

    Full Text Available Bladder cancer is the 4(th most common cancer among men in the U.S. We analyzed variant genotypes hypothesized to modify major biological processes involved in bladder carcinogenesis, including hormone regulation, apoptosis, DNA repair, immune surveillance, metabolism, proliferation, and telomere maintenance. Logistic regression was used to assess the relationship between genetic variation affecting these processes and susceptibility in 563 genotyped urothelial cell carcinoma cases and 863 controls enrolled in a case-control study of incident bladder cancer conducted in New Hampshire, U.S. We evaluated gene-gene interactions using Multifactor Dimensionality Reduction (MDR and Statistical Epistasis Network analysis. The 3'UTR flanking variant form of the hormone regulation gene HSD3B2 was associated with increased bladder cancer risk in the New Hampshire population (adjusted OR 1.85 95%CI 1.31-2.62. This finding was successfully replicated in the Texas Bladder Cancer Study with 957 controls, 497 cases (adjusted OR 3.66 95%CI 1.06-12.63. The effect of this prevalent SNP was stronger among males (OR 2.13 95%CI 1.40-3.25 than females (OR 1.56 95%CI 0.83-2.95, (SNP-gender interaction P = 0.048. We also identified a SNP-SNP interaction between T-cell activation related genes GATA3 and CD81 (interaction P = 0.0003. The fact that bladder cancer incidence is 3-4 times higher in males suggests the involvement of hormone levels. This biologic process-based analysis suggests candidate susceptibility markers and supports the theory that disrupted hormone regulation plays a role in bladder carcinogenesis.

  4. Contribution of DNA double-strand break repair gene XRCC3 genotypes to oral cancer susceptibility in Taiwan.

    Science.gov (United States)

    Tsai, Chia-Wen; Chang, Wen-Shin; Liu, Juhn-Cherng; Tsai, Ming-Hsui; Lin, Cheng-Chieh; Bau, Da-Tian

    2014-06-01

    The DNA repair gene X-ray repair cross complementing protein 3 (XRCC3) is thought to play a major role in double-strand break repair and in maintaining genomic stability. Very possibly, defective double-strand break repair of cells can lead to carcinogenesis. Therefore, a case-control study was performed to reveal the contribution of XRCC3 genotypes to individual oral cancer susceptibility. In this hospital-based research, the association of XRCC3 rs1799794, rs45603942, rs861530, rs3212057, rs1799796, rs861539, rs28903081 genotypes with oral cancer risk in a Taiwanese population was investigated. In total, 788 patients with oral cancer and 956 age- and gender-matched healthy controls were genotyped. The results showed that there was significant differential distribution among oral cancer and controls in the genotypic (p=0.001428) and allelic (p=0.0013) frequencies of XRCC3 rs861539. As for the other polymorphisms, there was no difference between case and control groups. In gene-lifestyle interaction analysis, we have provided the first evidence showing that there is an obvious joint effect of XRCC3 rs861539 genotype with individual areca chewing habits on oral cancer risk. In conclusion, the T allele of XRCC3 rs861539, which has an interaction with areca chewing habit in oral carcinogenesis, may be an early marker for oral cancer in Taiwanese.

  5. Polymorphisms of GSTM1 and CYP1A1 genes and their genetic susceptibility to prostate cancer in Chinese men

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Background Variation in prostate cancer incidence between different racial groups has been well documented,for which genetic polymorphisms are hypothesized to be an explanation.We evaluated the association between polymorphisms in the cytochrome P-450 CYP1A1(CYP1A1)and glutathione S-transferase M1(GSTM1)genes and genetic susceptibility to prostate cancer in Chinese men.Methods Two hundred and eight prostate cancer patients and 230 age matched controls were enrolled in this study.All DNA samples from peripheral blood lymphocytes were genotyped for common genetic polymorphisms of the CYP1A1 and GSTM1 genes using the oligonucleotide microarray(DNA chip)technique and the polymorphism results confirmed by sequencing.The different polymorphisms in prostate cancer patients were also analyzed according to age at diagnosis,prostate specific antigen level,cancer stage and grade(Gleason score).Results The prevalence of the GSTM1(0/0)genotype was significantly higher in prostate cancer patients(58.2%)than in controls(41.7%,P<0.05).Further analysis demonstrated that the prostate cancer patients with a GSTM1(0/0)genotype were younger than those with the GSTM1(+/+)genotype(P=0.024).No significant differences in the frequency distributions of CYP1A1 polymorphisms were observed between prostate cancer patients and controls.Conclusion GSTM1(0/0)gene polymorphism may be linked to prostate cancer risk and early age of onset in Chinese.

  6. Identification and molecular characterization of a new ovarian cancer susceptibility locus at 17q21.31.

    Science.gov (United States)

    Permuth-Wey, Jennifer; Lawrenson, Kate; Shen, Howard C; Velkova, Aneliya; Tyrer, Jonathan P; Chen, Zhihua; Lin, Hui-Yi; Chen, Y Ann; Tsai, Ya-Yu; Qu, Xiaotao; Ramus, Susan J; Karevan, Rod; Lee, Janet; Lee, Nathan; Larson, Melissa C; Aben, Katja K; Anton-Culver, Hoda; Antonenkova, Natalia; Antoniou, Antonis C; Armasu, Sebastian M; Bacot, François; Baglietto, Laura; Bandera, Elisa V; Barnholtz-Sloan, Jill; Beckmann, Matthias W; Birrer, Michael J; Bloom, Greg; Bogdanova, Natalia; Brinton, Louise A; Brooks-Wilson, Angela; Brown, Robert; Butzow, Ralf; Cai, Qiuyin; Campbell, Ian; Chang-Claude, Jenny; Chanock, Stephen; Chenevix-Trench, Georgia; Cheng, Jin Q; Cicek, Mine S; Coetzee, Gerhard A; Cook, Linda S; Couch, Fergus J; Cramer, Daniel W; Cunningham, Julie M; Dansonka-Mieszkowska, Agnieszka; Despierre, Evelyn; Doherty, Jennifer A; Dörk, Thilo; du Bois, Andreas; Dürst, Matthias; Easton, Douglas F; Eccles, Diana; Edwards, Robert; Ekici, Arif B; Fasching, Peter A; Fenstermacher, David A; Flanagan, James M; Garcia-Closas, Montserrat; Gentry-Maharaj, Aleksandra; Giles, Graham G; Glasspool, Rosalind M; Gonzalez-Bosquet, Jesus; Goodman, Marc T; Gore, Martin; Górski, Bohdan; Gronwald, Jacek; Hall, Per; Halle, Mari K; Harter, Philipp; Heitz, Florian; Hillemanns, Peter; Hoatlin, Maureen; Høgdall, Claus K; Høgdall, Estrid; Hosono, Satoyo; Jakubowska, Anna; Jensen, Allan; Jim, Heather; Kalli, Kimberly R; Karlan, Beth Y; Kaye, Stanley B; Kelemen, Linda E; Kiemeney, Lambertus A; Kikkawa, Fumitaka; Konecny, Gottfried E; Krakstad, Camilla; Kjaer, Susanne Krüger; Kupryjanczyk, Jolanta; Lambrechts, Diether; Lambrechts, Sandrina; Lancaster, Johnathan M; Le, Nhu D; Leminen, Arto; Levine, Douglas A; Liang, Dong; Lim, Boon Kiong; Lin, Jie; Lissowska, Jolanta; Lu, Karen H; Lubiński, Jan; 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; Nedergaard, Lotte; Ness, Roberta B; Nevanlinna, Heli; Nickels, Stefan; Noushmehr, Houtan; Odunsi, Kunle; Olson, Sara H; Orlow, Irene; Paul, James; Pearce, Celeste L; Pejovic, Tanja; Pelttari, Liisa M; Pike, Malcolm C; Poole, Elizabeth M; Raska, Paola; Renner, Stefan P; Risch, Harvey A; Rodriguez-Rodriguez, Lorna; Rossing, Mary Anne; Rudolph, Anja; Runnebaum, Ingo B; Rzepecka, Iwona K; Salvesen, Helga B; Schwaab, Ira; Severi, Gianluca; Shridhar, Viji; Shu, Xiao-Ou; Shvetsov, Yurii B; Sieh, Weiva; Song, Honglin; Southey, Melissa C; Spiewankiewicz, Beata; Stram, Daniel; Sutphen, Rebecca; Teo, Soo-Hwang; Terry, Kathryn L; Tessier, Daniel C; Thompson, Pamela J; Tworoger, Shelley S; van Altena, Anne M; Vergote, Ignace; Vierkant, Robert A; Vincent, Daniel; Vitonis, Allison F; Wang-Gohrke, Shan; Palmieri Weber, Rachel; Wentzensen, Nicolas; Whittemore, Alice S; Wik, Elisabeth; Wilkens, Lynne R; Winterhoff, Boris; Woo, Yin Ling; Wu, Anna H; Xiang, Yong-Bing; Yang, Hannah P; Zheng, Wei; Ziogas, Argyrios; Zulkifli, Famida; Phelan, Catherine M; Iversen, Edwin; Schildkraut, Joellen M; Berchuck, Andrew; Fridley, Brooke L; Goode, Ellen L; Pharoah, Paul D P; Monteiro, Alvaro N A; Sellers, Thomas A; Gayther, Simon A

    2013-01-01

    Epithelial ovarian cancer (EOC) has a heritable component that remains to be fully characterized. Most identified common susceptibility variants lie in non-protein-coding sequences. We hypothesized that variants in the 3' untranslated region at putative microRNA (miRNA)-binding sites represent functional targets that influence EOC susceptibility. Here, we evaluate the association between 767 miRNA-related single-nucleotide polymorphisms (miRSNPs) and EOC risk in 18,174 EOC cases and 26,134 controls from 43 studies genotyped through the Collaborative Oncological Gene-environment Study. We identify several miRSNPs associated with invasive serous EOC risk (odds ratio=1.12, P=10(-8)) mapping to an inversion polymorphism at 17q21.31. Additional genotyping of non-miRSNPs at 17q21.31 reveals stronger signals outside the inversion (P=10(-10)). Variation at 17q21.31 is associated with neurological diseases, and our collaboration is the first to report an association with EOC susceptibility. An integrated molecular analysis in this region provides evidence for ARHGAP27 and PLEKHM1 as candidate EOC susceptibility genes. PMID:23535648

  7. Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: a combined case-control study

    DEFF Research Database (Denmark)

    Milne, Roger L; Gaudet, Mia M; Spurdle, Amanda B;

    2010-01-01

    Several common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the...... Breast Cancer Association Consortium....

  8. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

    NARCIS (Netherlands)

    Antoniou, Antonis C.; Kuchenbaecker, Karoline B.; Soucy, Penny; Beesley, Jonathan; Chen, Xiaoqing; McGuffog, Lesley; Lee, Andrew; Barrowdale, Daniel; Healey, Sue; Sinilnikova, Olga M.; Caligo, Maria A.; Loman, Niklas; Harbst, Katja; Lindblom, Annika; Arver, Brita; Rosenquist, Richard; Karlsson, Per; Nathanson, Kate; Domchek, Susan; Rebbeck, Tim; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Zlowowcka-Perlowska, Elzbieta; Osorio, Ana; Duran, Mercedes; Andres, Raquel; Benitez, Javier; Hamann, Ute; Hogervorst, Frans B.; van Os, Theo A.; Verhoef, Senno; Meijers-Heijboer, Hanne E. J.; Wijnen, Juul; Garcia, Encarna B. Gomez; Ligtenberg, Marjolijn J.; Kriege, Mieke; Collee, Margriet; Ausems, Margreet G. E. M.; Oosterwijk, Jan C.; Peock, Susan; Frost, Debra; Ellis, Steve D.; Platte, Radka; Fineberg, Elena; Evans, D. Gareth; Lalloo, Fiona; Jacobs, Chris; Eeles, Ros; Adlard, Julian; Davidson, Rosemarie; Cole, Trevor; Cook, Jackie; Paterson, Joan; Douglas, Fiona; Brewer, Carole; Hodgson, Shirley; Morrison, Patrick J.; Walker, Lisa; Rogers, Mark T.; Donaldson, Alan; Dorkins, Huw; Godwin, Andrew K.; Bove, Betsy; Stoppa-Lyonnet, Dominique; Houdayer, Claude; Buecher, Bruno; de Pauw, Antoine; Mazoyer, Sylvie; Calender, Alain; Leone, Melanie; Bressac-de Paillerets, Brigitte; Caron, Olivier; Sobol, Hagay; Frenay, Marc; Prieur, Fabienne; Ferrer, Sandra Fert; Mortemousque, Isabelle; Buys, Saundra; Daly, Mary; Miron, Alexander; Terry, Mary Beth; Hopper, John L.; John, Esther M.; Southey, Melissa; Goldgar, David; Singer, Christian F.; Fink-Retter, Anneliese; Tea, Muy-Kheng; Kaulich, Daphne Geschwantler; Hansen, Thomas V. O.; Nielsen, Finn C.; Barkardottir, Rosa B.; Gaudet, Mia; Kirchhoff, Tomas; Joseph, Vijai; Dutra-Clarke, Ana; Offit, Kenneth; Piedmonte, Marion; Kirk, Judy; Cohn, David; Hurteau, Jean; Byron, John; Fiorica, James; Toland, Amanda E.; Montagna, Marco; Oliani, Cristina; Imyanitov, Evgeny; Isaacs, Claudine; Tihomirova, Laima; Blanco, Ignacio; Lazaro, Conxi; Teule, Alex; Del Valle, J.; Gayther, Simon A.; Odunsi, Kunle; Gross, Jenny; Karlan, Beth Y.; Olah, Edith; Teo, Soo-Hwang; Ganz, Patricia A.; Beattie, Mary S.; Dorfling, Cecelia M.; van Rensburg, Elizabeth Jansen; Diez, Orland; Kwong, Ava; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Heidemann, Simone; Niederacher, Dieter; Preisler-Adams, Sabine; Gadzicki, Dorothea; Varon-Mateeva, Raymonda; Deissler, Helmut; Gehrig, Andrea; Sutter, Christian; Kast, Karin; Fiebig, Britta; Schaefer, Dieter; Caldes, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Muranen, Taru A.; Lesperance, Bernard; Spurdle, Amanda B.; Neuhausen, Susan L.; Ding, Yuan C.; Wang, Xianshu; Fredericksen, Zachary; Pankratz, Vernon S.; Lindor, Noralane M.; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Bonanni, Bernardo; Bernard, Loris; Dolcetti, Riccardo; Papi, Laura; Ottini, Laura; Radice, Paolo; Greene, Mark H.; Loud, Jennifer T.; Andrulis, Irene L.; Ozcelik, Hilmi; Mulligan, Anna Marie; Glendon, Gord; Thomassen, Mads; Gerdes, Anne-Marie; Jensen, Uffe B.; Skytte, Anne-Bine; Kruse, Torben A.; Chenevix-Trench, Georgia; Couch, Fergus J.; Simard, Jacques; Easton, Douglas F.

    2012-01-01

    Introduction: Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B),

  9. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Antoniou, Antonis C; Kuchenbaecker, Karoline B; Soucy, Penny;

    2012-01-01

    Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190 ...

  10. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

    NARCIS (Netherlands)

    Antoniou, A.C.; Kuchenbaecker, K.B.; Soucy, P.; Beesley, J.; Chen, X.; McGuffog, L.; Lee, A.; Barrowdale, D.; Healey, S.; Sinilnikova, O.M.; Caligo, M.A.; Loman, N.; Harbst, K.; Lindblom, A.; Arver, B.; Rosenquist, R.; Karlsson, P.; Nathanson, K.; Domchek, S.; Rebbeck, T.; Jakubowska, A.; Lubinski, J.; Jaworska, K.; Durda, K.; Zlowowcka-Perlowska, E.; Osorio, A.; Duran, M.; Andres, R.; Benitez, J.; Hamann, U.; Hogervorst, F.B.; Os, T.A. van; Verhoef, S.; Meijers-Heijboer, H.E.; Wijnen, J.; Gomez Garcia, E.B.; Ligtenberg, M.J.L.; Kriege, M.; Collee, J.M.; Ausems, M.G.; Oosterwijk, J.C.; Peock, S.; Frost, D.; Ellis, S.D.; Platte, R.; Fineberg, E.; Evans, D.G.; Lalloo, F.; Jacobs, C.; Eeles, R.; Adlard, J.; Davidson, R.; Cole, T.; Cook, J.; Paterson, J.; Douglas, F.; Brewer, C.; Hodgson, S.; Morrison, P.J.; Walker, L.; Rogers, M.T.; Donaldson, A.; Dorkins, H.; Godwin, A.K.; Bove, B.; Stoppa-Lyonnet, D.; Houdayer, C.; Buecher, B.; Pauw, A. de; Mazoyer, S.; Calender, A.; Leone, M.; Bressac-de Paillerets, B.; Caron, O.; Sobol, H.; Frenay, M.; Prieur, F.; Ferrer, S.U.; Mortemousque, I.; Buys, S.; Daly, M.; Miron, A.; Terry, M.U.; Hopper, J.L.; John, E.M.; Southey, M.; Goldgar, D.; Singer, C.F.; Fink-Retter, A.; Tea, M.K.; Kaulich, D.U.; Hansen, T.V.; Nielsen, F.C.; Barkardottir, R.B.; Gaudet, M.; Kirchhoff, T.; Joseph, V.; Dutra-Clarke, A.; Offit, K.; Piedmonte, M., et al.

    2012-01-01

    INTRODUCTION: Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B),

  11. A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2

    DEFF Research Database (Denmark)

    Song, Honglin; Ramus, Susan J; Tyrer, Jonathan;

    2009-01-01

    Epithelial ovarian cancer has a major heritable component, but the known susceptibility genes explain less than half the excess familial risk. We performed a genome-wide association study (GWAS) to identify common ovarian cancer susceptibility alleles. We evaluated 507,094 SNPs genotyped in 1......,817 cases and 2,353 controls from the UK and approximately 2 million imputed SNPs. We genotyped the 22,790 top ranked SNPs in 4,274 cases and 4,809 controls of European ancestry from Europe, USA and Australia. We identified 12 SNPs at 9p22 associated with disease risk (P SNP...... (rs3814113; P = 2.5 x 10(-17)) was genotyped in a further 2,670 ovarian cancer cases and 4,668 controls, confirming its association (combined data odds ratio (OR) = 0.82, 95% confidence interval (CI) 0.79-0.86, P(trend) = 5.1 x 10(-19)). The association differs by histological subtype, being strongest...

  12. Basal-subtype and MEK-Pl3K feedback signaling determine susceptibility of breast cancer cells to MEK inhibition

    Energy Technology Data Exchange (ETDEWEB)

    Mirzoeva, Olga K.; Das, Debopriya; Heiser, Laura M.; Bhattacharya, Sanchita; Siwak, Doris; Gendelman, Rina; Bayani, Nora; Wang, Nicholas J.; Neve, Richard M.; Knight, Zachary; Feiler, Heidi S.; Gascard, Philippe; Parvin, Bahram; Spellman, Paul T.; Shokat, Kevan M.; Wyrobek, Andrew J.; Bissell, Mina J.; McCormick, Frank; Kuo, Wen-Lin; Mills, Gordon B.; Gray, Joe W.; Korn, W. Michael

    2009-01-23

    Specific inhibitors of MEK have been developed that efficiently inhibit the oncogenic RAF-MEK-ERK pathway. We employed a systems-based approach to identify breast cancer subtypes particularly susceptible to MEK inhibitors and to understand molecular mechanisms conferring resistance to such compounds. Basal-type breast cancer cells were found to be particularly susceptible to growth-inhibition by small-molecule MEK inhibitors. Activation of the PI3 kinase pathway in response to MEK inhibition through a negative MEK-EGFR-PI3 kinase feedback loop was found to limit efficacy. Interruption of this feedback mechanism by targeting MEK and PI3 kinase produced synergistic effects, including induction of apoptosis and, in some cell lines, cell cycle arrest and protection from apoptosis induced by proapoptotic agents. These findings enhance our understanding of the interconnectivity of oncogenic signal transduction circuits and have implications for the design of future clinical trials of MEK inhibitors in breast cancer by guiding patient selection and suggesting rational combination therapies.

  13. Family system characteristics and psychological adjustment to cancer susceptibility genetic testing : a prospective study

    NARCIS (Netherlands)

    van Oostrom, I.; Meijers-Heijboer, H.; Duivenvoorden, H. J.; Brocker-Vriends, A. H. J. T.; van Asperen, C. J.; Sijmons, R. H.; Seynaeve, C.; Van Gool, A. R.; Klijn, J. G. M.; Tibben, A.

    2007-01-01

    This study examined prospectively the contribution of family functioning, differentiation to parents, family communication and support from relatives to psychological distress in individuals undergoing genetic susceptibility testing for a known familial pathogenic BRCA1/2 or Hereditary nonpolyposis

  14. Case-control study for colorectal cancer genetic susceptibility in EPICOLON: previously identified variants and mucins

    Directory of Open Access Journals (Sweden)

    Moreno Victor

    2011-08-01

    Full Text Available Abstract Background Colorectal cancer (CRC is the second leading cause of cancer death in developed countries. Familial aggregation in CRC is also important outside syndromic forms and, in this case, a polygenic model with several common low-penetrance alleles contributing to CRC genetic predisposition could be hypothesized. Mucins and GALNTs (N-acetylgalactosaminyltransferase are interesting candidates for CRC genetic susceptibility and have not been previously evaluated. We present results for ten genetic variants linked to CRC risk in previous studies (previously identified category and 18 selected variants from the mucin gene family in a case-control association study from the Spanish EPICOLON consortium. Methods CRC cases and matched controls were from EPICOLON, a prospective, multicenter, nationwide Spanish initiative, comprised of two independent stages. Stage 1 corresponded to 515 CRC cases and 515 controls, whereas stage 2 consisted of 901 CRC cases and 909 controls. Also, an independent cohort of 549 CRC cases and 599 controls outside EPICOLON was available for additional replication. Genotyping was performed for ten previously identified SNPs in ADH1C, APC, CCDN1, IL6, IL8, IRS1, MTHFR, PPARG, VDR and ARL11, and 18 selected variants in the mucin gene family. Results None of the 28 SNPs analyzed in our study was found to be associated with CRC risk. Although four SNPs were significant with a P-value ADH1C (OR = 1.63, 95% CI = 1.06-2.50, P-value = 0.02, recessive, rs1800795 in IL6 (OR = 1.62, 95% CI = 1.10-2.37, P-value = 0.01, recessive, rs3803185 in ARL11 (OR = 1.58, 95% CI = 1.17-2.15, P-value = 0.007, codominant, and rs2102302 in GALNTL2 (OR = 1.20, 95% CI = 1.00-1.44, P-value = 0.04, log-additive 0, 1, 2 alleles], only rs3803185 achieved statistical significance in EPICOLON stage 2 (OR = 1.34, 95% CI = 1.06-1.69, P-value = 0.01, recessive. In the joint analysis for both stages, results were only significant for rs3803185 (OR = 1

  15. Case-control study for colorectal cancer genetic susceptibility in EPICOLON: previously identified variants and mucins

    International Nuclear Information System (INIS)

    Colorectal cancer (CRC) is the second leading cause of cancer death in developed countries. Familial aggregation in CRC is also important outside syndromic forms and, in this case, a polygenic model with several common low-penetrance alleles contributing to CRC genetic predisposition could be hypothesized. Mucins and GALNTs (N-acetylgalactosaminyltransferase) are interesting candidates for CRC genetic susceptibility and have not been previously evaluated. We present results for ten genetic variants linked to CRC risk in previous studies (previously identified category) and 18 selected variants from the mucin gene family in a case-control association study from the Spanish EPICOLON consortium. CRC cases and matched controls were from EPICOLON, a prospective, multicenter, nationwide Spanish initiative, comprised of two independent stages. Stage 1 corresponded to 515 CRC cases and 515 controls, whereas stage 2 consisted of 901 CRC cases and 909 controls. Also, an independent cohort of 549 CRC cases and 599 controls outside EPICOLON was available for additional replication. Genotyping was performed for ten previously identified SNPs in ADH1C, APC, CCDN1, IL6, IL8, IRS1, MTHFR, PPARG, VDR and ARL11, and 18 selected variants in the mucin gene family. None of the 28 SNPs analyzed in our study was found to be associated with CRC risk. Although four SNPs were significant with a P-value < 0.05 in EPICOLON stage 1 [rs698 in ADH1C (OR = 1.63, 95% CI = 1.06-2.50, P-value = 0.02, recessive), rs1800795 in IL6 (OR = 1.62, 95% CI = 1.10-2.37, P-value = 0.01, recessive), rs3803185 in ARL11 (OR = 1.58, 95% CI = 1.17-2.15, P-value = 0.007, codominant), and rs2102302 in GALNTL2 (OR = 1.20, 95% CI = 1.00-1.44, P-value = 0.04, log-additive 0, 1, 2 alleles], only rs3803185 achieved statistical significance in EPICOLON stage 2 (OR = 1.34, 95% CI = 1.06-1.69, P-value = 0.01, recessive). In the joint analysis for both stages, results were only significant for rs3803185 (OR = 1.12, 95% CI = 1

  16. Correlation between XRCC1 Arg399Gln genetic polymorphisms and susceptibility to bladder cancer: a meta-analysis

    Science.gov (United States)

    Liu, Nannan; Fei, Xiawei; Shen, Yi; Shi, Weifeng; Ma, Jinhong

    2016-01-01

    The relationship between XRCC1 polymorphisms and bladder cancer has been widely studied. Here, our meta-analysis was conducted to evaluate the correlations between common genetic polymorphisms in XRCC1 and susceptibility to bladder cancer. In order to derive a more precise estimation of the association, 27 clinical case-control studies (which met all the inclusion criteria) were included in this meta-analysis. A total of 8,539 cancer cases and 10,750 controls were involved in this meta-analysis. Overall, no significant association was detected in allelic model (A allele vs T allele odds ratio [OR] =0.87, 95% confidence interval [CI], 0.71–1.06), homozygote comparison (AA vs GG OR =1.12, 95% CI, 0.68–1.85), heterozygote comparison (AT vs TT OR =1.01, 95% CI, 0.81–1.26), dominant model (AA + AG vs GG OR =0.93, 95% CI, 0.85–1.02), and recessive model (AA vs AG + GG OR =1.01, 95% CI, 0.88–1.15), but a moderately significant association was found for AG vs GG (OR =0.241, 95% CI =0.17–0.35). Subgroup analysis based on ethnicity. Ethnicity analysis suggested that genetic polymorphisms in XRCC1 were not correlated with increased bladder cancer risk among Asians (all P>0.05). Therefore, we concluded that XRCC1 genetic polymorphism may not contribute to bladder cancer susceptibility in the present meta-analysis, and further well-designed studies with a large sample size are warranted to validate our conclusion. PMID:26869802

  17. The enhanced bladder cancer susceptibility of NAT2 slow acetylators towards aromatic amines: a review considering ethnic differences.

    Science.gov (United States)

    Golka, Klaus; Prior, Verena; Blaszkewicz, Meinolf; Bolt, Hermann M

    2002-03-10

    Human bladder cancer may be caused by exposure to aromatic amines. The polymorphic enzyme N-acetyltransferase 2 (NAT2) is involved in the metabolism of these compounds. Two classical studies on chemical workers in Europe, exposed in the past to aromatic amines like benzidine, unambiguously showed that the slow acetylator status is a genetic risk factor for arylamine-induced bladder cancer. In the former benzidine industry in Huddington, Great Britain, 22 of 23 exposed cases with bladder cancer, but only 57% of 95 local controls without bladder cancer were of the slow acetylator phenotype. In Leverkusen, Germany, 82% of 92 benzidine-exposed chemical workers with bladder cancer were of the slow acetylator phenotype, whereas only 48% of 331 chemical workers who had worked at that plant were of the slow acetylator phenotype. This is in line with several smaller studies, which also show an over-representation of the slow acetylator status in formerly arylamine-exposed subjects with bladder cancer. Some of these studies included also subjects that were exposed to aromatic amines by having applied dyes, paints and varnishes. These European findings are in contrast to a large study on Chinese workers occupationally exposed to aromatic amines. In this study, only five of 38 bladder cancer cases occupationally exposed to arylamines were of the slow acetylator genotype. This is much lower than the ratio of slow acetylators to the general population in China. This points to different mechanisms of susceptibility for bladder cancer upon exposure to aromatic amines between European (Caucasian) and Chinese populations.

  18. Genotype, phenotype and cancer: Role of low penetrance genes and environment in tumour susceptibility

    Indian Academy of Sciences (India)

    Ashwin Kotnis; Rajiv Sarin; Rita Mulherkar

    2005-02-01

    Role of heredity and lifestyle in sporadic cancers is well documented. Here we focus on the influence of low penetrance genes and habits, with emphasis on tobacco habit in causing head and neck cancers. Role of such gene-environment interaction can be well studied in individuals with multiple primary cancers. Thus such a biological model may elucidate that cancer causation is not solely due to genetic determinism but also significantly relies on lifestyle of the individual.

  19. A risk evaluation model of cervical cancer based on etiology and human leukocyte antigen allele susceptibility

    OpenAIRE

    Bicheng Hu; Ning Tao; Fanyu Zeng; Min Zhao; Lixin Qiu; Wen Chen; Yun Tan; Yun Wei; Xufeng Wu; Xinxing Wu

    2014-01-01

    Background: There are no reliable risk factors to accurately predict progression to cervical cancer in patients with chronic cervicitis infected with human papillomavirus (HPV). The aim of this study was to create a validated predictive model based on the risk factors for cervical cancer. A model to estimate the risk of cervical cancer may help select patients for intervention therapy in order to reduce the occurrence of cervical cancer after HPV infection. Methods: This retrospective anal...