Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Tokhir Dadaev, Edward J. Saunders, Paul J. Newcombe, Ezequiel Anokian, Daniel A. Leongamornlert, Mark N. Brook, Clara Cieza-Borrella, Martina Mijuskovic, Sarah Wakerell, Ali Amin Al Olama, Fredrick R. Schumacher, Sonja I. Berndt, Sara Benlloch, Mahbubl Ahmed, Chee Goh, Xin Sheng, Zhuo Zhang, Kenneth Muir, Koveela Govindasami, Artitaya LophatananonVictoria L. Stevens, Susan M. Gapstur, Brian D. Carter, Catherine M. Tangen, Phyllis Goodman, Ian M. Thompson, Jyotsna Batra, Suzanne Chambers, Leire Moya, Judith Clements, Lisa Horvath, Wayne Tilley, Gail Risbridger, Henrik Gronberg, Markus Aly, Tobias Nordström, Paul Pharoah, Nora Pashayan, Johanna Schleutker, Teuvo L.J. Tammela, Csilla Sipeky, Anssi Auvinen, Demetrius Albanes, Stephanie Weinstein, Alicja Wolk, Niclas Hakansson, Catharine West, Alison M. Dunning, Neil Burnet, Lorelei Mucci, Edward Giovannucci, Gerald Andriole, Olivier Cussenot, Géraldine Cancel-Tassin, Stella Koutros, Laura E.Beane Freeman, Karina Dalsgaard Sorensen, Torben Falck Orntoft, Michael Borre, Lovise Maehle, Eli Marie Grindedal, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Richard M. Martin, Ruth C. Travis, Tim J. Key, Robert J. Hamilton, Neil E. Fleshner, Antonio Finelli, Sue Ann Ingles, Mariana C. Stern, Barry Rosenstein, Sarah Kerns, Harry Ostrer, Yong Jie Lu, Hong Wei Zhang, Ninghan Feng, Xueying Mao, Xin Guo, Guomin Wang, Zan Sun, Graham G. Giles, Melissa C. Southey, Robert J. MacInnis, Liesel M. Fitzgerald, Adam S. Kibel, Bettina F. Drake, Ana Vega, Antonio Gómez-Caamaño, Laura Fachal, Robert Szulkin, Martin Eklund, Manolis Kogevinas, Javier Llorca, Gemma Castaño-Vinyals, Kathryn L. Penney, Meir Stampfer, Jong Y. Park, Thomas A. Sellers, Hui Yi Lin, Janet L. Stanford, Cezary Cybulski, Dominika Wokolorczyk, Jan Lubinski, Elaine A. Ostrander, Milan S. Geybels, Børge G. Nordestgaard, Sune F. Nielsen, Maren Weisher, Rasmus Bisbjerg, Martin Andreas Røder, Peter Iversen, Hermann Brenner, Katarina Cuk, Bernd Holleczek, Christiane Maier, Manuel Luedeke, Thomas Schnoeller, Jeri Kim, Christopher J. Logothetis, Esther M. John, Manuel R. Teixeira, Paula Paulo, Marta Cardoso, Susan L. Neuhausen, Linda Steele, Yuan Chun Ding, Kim De Ruyck, Gert De Meerleer, Piet Ost, Azad Razack, Jasmine Lim, Soo Hwang Teo, Daniel W. Lin, Lisa F. Newcomb, Davor Lessel, Marija Gamulin, Tomislav Kulis, Radka Kaneva, Nawaid Usmani, Chavdar Slavov, Vanio Mitev, Matthew Parliament, Sandeep Singhal, Frank Claessens, Steven Joniau, Thomas Van Den Broeck, Samantha Larkin, Paul A. Townsend, Claire Aukim-Hastie, Manuela Gago-Dominguez, Jose Esteban Castelao, Maria Elena Martinez, Monique J. Roobol, Guido Jenster, Ron H.N. Van Schaik, Florence Menegaux, Thérèse Truong, Yves Akoli Koudou, Jianfeng Xu, Kay Tee Khaw, Lisa Cannon-Albright, Hardev Pandha, Agnieszka Michael, Andrzej Kierzek, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Sara Lindstrom, Constance Turman, Jing Ma, David J. Hunter, Elio Riboli, Afshan Siddiq, Federico Canzian, Laurence N. Kolonel, Loic Le Marchand, Robert N. Hoover, Mitchell J. Machiela, Peter Kraft, Margaret Cook, Matthew L Freedman, Fredrik Wiklund, Stephen J Chanock, Brian E Henderson, Douglas F Easton, Christopher A Haiman, Rosalind A Eeles, David V Conti, Zsofia Kote-Jarai, The PRACTICAL consortium

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21 Citations (Scopus)

Abstract

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.

Original languageEnglish
Article number2256
Number of pages19
JournalNature Communications
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Dec 2018

Cite this

Dadaev, T., Saunders, E. J., Newcombe, P. J., Anokian, E., Leongamornlert, D. A., Brook, M. N., Cieza-Borrella, C., Mijuskovic, M., Wakerell, S., Olama, A. A. A., Schumacher, F. R., Berndt, S. I., Benlloch, S., Ahmed, M., Goh, C., Sheng, X., Zhang, Z., Muir, K., Govindasami, K., ... The PRACTICAL consortium (2018). Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants. Nature Communications, 9(1), [2256]. https://doi.org/10.1038/s41467-018-04109-8