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Genetic risk of prostate cancer in Ugandan men
Author(s) -
Du Zhaohui,
Lubmawa Alexander,
Gundell Susan,
Wan Peggy,
Nalukenge Cissy,
Muwanga Proscovia,
Lutalo Moses,
Nansereko Deborah,
Ndaruhutse Olivia,
Katuku Molly,
Nassanga Rosemary,
Asiimwe Frank,
Masaba Be,
Kaggwa Sam,
Namuguzi Dan,
Kiddu Vicky,
Mutema George,
Conti David V.,
Luke Asiimwe,
Job Kuteesa,
Henry Dabanja M.,
Haiman Christopher A.,
Watya Stephen
Publication year - 2018
Publication title -
the prostate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.295
H-Index - 123
eISSN - 1097-0045
pISSN - 0270-4137
DOI - 10.1002/pros.23481
Subject(s) - allele , prostate cancer , population , medicine , demography , genetic association , incidence (geometry) , oncology , genetics , biology , genotype , single nucleotide polymorphism , cancer , environmental health , gene , physics , sociology , optics
Background Men of African‐ancestry have elevated prostate cancer (PCa) incidence and mortality compared to men of other racial groups. There is support for a genetic contribution to this disparity, with evidence of genetic heterogeneity in the underlying risk alleles between populations. Studies of PCa among African men may inform the contribution of genetic risk factors to the elevated disease burden in this population. Methods We conducted an association study of >100 previously reported PCa risk alleles among 571 incidence cases and 485 controls among Uganda men. Unconditional logistic regression was used to test genetic associations and a polygenic risk score (PRS) was derived to assess the cumulative effect of the known risk alleles in association with PCa risk. In an exploratory analysis, we also tested associations of 17 125 421 genotyped and imputed markers genome‐wide in association with PCa risk. Results Of the 111 known risk loci with a frequency >1%, 75 (68%) had effects that were directionally consistent with the initial discovery population,14 (13%) of which were nominally significantly associated with PCa risk at P < 0.05. Compared to men with average risk (25 th ‐75 th percentile in PRS distribution), Ugandan men in the top 10% of the PRS, constructed of alleles outside of 8q24, had a 2.9‐fold (95%CI: 1.75, 4.97) risk of developing PCa; risk for the top 10% increased to 4.86 (95%CI: 2.70, 8.76) with the inclusion of risk alleles at 8q24. In genome‐wide association testing, the strongest associations were noted with known risk alleles located in the 8q24 region, including rs72725854 (OR = 3.37, P = 2.14 × 10 −11 ) that is limited to populations of African ancestry (6% frequency). Conclusions The ∼100 known PCa risk variants were shown to effectively stratify PCa risk in Ugandan men, with 10% of men having a >4‐fold increase in risk. The 8q24 risk region was also found to be a major contributor to PCa risk in Ugandan men, with the African ancestry‐specific risk variant rs72725854 estimated to account for 12% of PCa in this population.