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

 
Thumbnail
View/Open
Author
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
John, Esther M.
Ingles, Sue A.
Kittles, Rick A.
Murphy, Adam B.
Pandha, Hardev
Michael, Agnieszka
Kierzek, Andrzej M.
Blot, William
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.
Muir, Kenneth
Gronberg, Henrik
Neal, David E.
Southey, Melissa
Giles, Graham G.
Severi, Gianluca
Cook, Michael B.
Nakagawa, Hidewaki
Wiklund, Fredrik
Chanock, Stephen J.
Henderson, Brian E.
Easton, Douglas F.
Eeles, Rosalind A.
Haiman, Christopher A.
Note: Order does not necessarily reflect citation order of authors.
Published Version
https://doi.org/10.1038/ng.3094
Metadata
Show full item record
Citation
Al Olama, A. A., Z. Kote-Jarai, S. I. Berndt, D. V. Conti, F. Schumacher, Y. Han, S. Benlloch, et al. 2014. “A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer.” Nature genetics 46 (10): 1103-1109. doi:10.1038/ng.3094. http://dx.doi.org/10.1038/ng.3094.
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 43,303prostate 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.
Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383163/pdf/
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:15034805

Collections