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

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) A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer. Nature Genetics, 46(10), pp. 1103-1109.

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Abstract

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 cases and 43,737 controls from studies in populations of European, African, Japanese and Latino ancestry. Twenty-three new susceptibility loci were identified at association P < 5 × 10(-8); 15 variants were identified among men of European ancestry, 7 were identified in multi-ancestry analyses and 1 was associated with early-onset prostate cancer. These 23 variants, in combination with known prostate cancer risk variants, explain 33% of the familial risk for this disease in European-ancestry populations. These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the usefulness of combining ancestrally diverse populations to discover risk loci for disease.

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ID Code: 84359
Item Type: Journal Article
Refereed: Yes
DOI: 10.1038/ng.3094
ISSN: 1546-1718
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 2014 Nature American Inc
Deposited On: 21 May 2015 00:21
Last Modified: 05 Oct 2015 03:29

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