Generalizability of established prostate cancer risk variants in men of African ancestry. Issue 5 (15th July 2014)

• Record Type: Journal Article
• Authors: Han, Ying; Signorello, Lisa B.; Strom, Sara S.; Kittles, Rick A.; Rybicki, Benjamin A.; Stanford, Janet L.; Goodman, Phyllis J.; Berndt, Sonja I.; Carpten, John; Casey, Graham; Chu, Lisa; Conti, David V.; Rand, Kristin A.; Diver, W. Ryan; Hennis, Anselm J.M.; John, Esther M.; Kibel, Adam S.; Klein, Eric A.; Kolb, Suzanne; Le Marchand, Loic; Leske, M. Cristina; Murphy, Adam B.; Neslund‐Dudas, Christine; Park, Jong Y.; Pettaway, Curtis; Rebbeck, Timothy R.; Gapstur, Susan M.; Zheng, S. Lilly; Wu, Suh‐Yuh; Witte, John S.; Xu, Jianfeng; Isaacs, William; Ingles, Sue A.; Hsing, Ann; The PRACTICAL Consortium; The ELLIPSE GAME‐ON Consortium; Easton, Douglas F.; Eeles, Rosalind A.; Schumacher, Fredrick R.; Chanock, Stephen; Nemesure, Barbara; Blot, William J.; Stram, Daniel O.; Henderson, Brian E.; Haiman, Christopher A.;
• Is Part Of: International journal of cancer. Volume 136:Issue 5(2015:Mar. 01)
• Page Start: 1210
• Page End: 1217
• Publication Date: 2014-07-15
• Subjects: Cancer -- Periodicals; Cancer -- Prevention -- Periodicals; 616.994
• DOI: 10.1002/ijc.29066
• Languages: English
• ISSNs: 0020-7136

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Genome‐wide association studies have identified more than 80 risk variants for prostate cancer, mainly in European or Asian populations. The generalizability of these variants in other racial/ethnic populations needs to be understood before the loci can be used widely in risk modeling. In our study, we examined 82 previously reported risk variants in 4, 853 prostate cancer cases and 4, 678 controls of African ancestry. We performed association testing for each variant using logistic regression adjusted for age, study and global ancestry. Of the 82 known risk variants, 68 (83%) had effects that were directionally consistent in their association with prostate cancer risk and 30 (37%) were significantly associated with risk at <italic>p</italic> < 0.05, with the most statistically significant variants being rs116041037 (<italic>p</italic> = 3.7 × 10<sup>−26</sup>) and rs6983561 (<italic>p</italic> = 1.1 × 10<sup>−16</sup>) at 8q24, as well as rs7210100 (<italic>p</italic> = 5.4 × 10<sup>−8</sup>) at 17q21. By exploring each locus in search of better markers, the number of variants that captured risk in men of African ancestry (<italic>p</italic> < 0.05) increased from 30 (37%) to 44 (54%). An aggregate score comprised of these 44 markers was strongly associated with prostate cancer risk [per‐allele odds ratio (OR) = 1.12, <italic>p</italic> = 7.3 × 10<sup>−98</sup>]. In summary, the consistent directions of effects for the vast majority of variants in men of African ancestry indicate common functional alleles that are shared across populations. Further exploration of these susceptibility loci is needed to identify the underlying biologically relevant variants to improve prostate cancer risk modeling in populations of African ancestry.</p> </abstract>