Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Conti, David V.; Darst, Burcu F.; Moss, Lilit C.; Saunders, Edward J.; Sheng, Xin; Chou, Alisha; Schumacher, Fredrick R.; Olama, Ali Amin Al; Benlloch, Sara; Dadaev, Tokhir; Brook, Mark N.; Sahimi, Ali; Hoffmann, Thomas J.; Takahashi, Atushi; Matsuda, Koichi; Momozawa, Yukihide; Fujita, Masashi; Muir, Kenneth; Lophatananon, Artitaya; Wan, Peggy; Le Marchand, Loic; Wilkens, Lynne R.; Stevens, Victoria L.; Gapstur, Susan M.; Carter, Brian D.; Schleutker, Johanna; Tammela, Teuvo L. J.; Sipeky, Csilla; Auvinen, Anssi; Giles, Graham G.; Southey, Melissa C.; MacInnis, Robert J.; Cybulski, Cezary; Wokołorczyk, Dominika; Lubiński, Jan; Neal, David E.; Donovan, Jenny L.; Hamdy, Freddie C.; Martin, Richard M.; Nordestgaard, Børge G.; Nielsen, Sune F.; Weischer, Maren; Bojesen, Stig E.; Røder, Martin Andreas; Iversen, Peter; Batra, Jyotsna; Chambers, Suzanne; Moya, Leire; Horvath, Lisa; Clements, Judith A.; Tilley, Wayne; Risbridger, Gail P.; Gronberg, Henrik; Aly, Markus; Szulkin, Robert; Ek. Nature Genetics. 2021; 53: p.65-75. doi:10.1038/s41588-020-00748-0Article