Prostate Cancer and Prostatic DiseasesGenetic & Genomic MedicinePeer-reviewed journal article
Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24
Roshan A. KarunamuniiD, Minh‐Phuong Huynh‐LeiD, Chun Chieh FaniD, Wesley Kurt ThompsoniD, Asona J. LuiiD, Marı́a Elena Martı́neziD, Brent Shane RoseiD, Brandon Arvin Virgil MahaliD, Rosalind A. EelesiD, Zsofia Kote‐JaraiiD, Kenneth Ross MuiriD, Artitaya LophatananoniD, UKGPCS Collaborators, Catherine M. TangeniD, Phyllis J. GoodmaniD, Ian Murchie ThompsoniD, William J. BlotiD, Wei ZhengiD, Adam Stuart KibeliD, Bettina F. DrakeiD, Olivier CussenotiD, Géraldine Cancel‐TassiniD, Florence MenegauxiD, Thérèse TruongiD, Jong Y. ParkiD, , Tyler M. SeibertiD
Abstract
We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. Genotypic data were obtained from PRACTICAL consortium for 6,253 men with African genetic ancestry. Genetic variation in a window spanning 3 African-specific 8q24 SNPs was estimated using 93 PCs. A Cox proportional hazards framework was used to identify the pair of PCs most strongly associated with performance of PHS46+African. A calibration factor (CF) was formulated using estimated Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC. CF of PHS46+African was strongly associated with the first and twentieth PCs. Predicted CF ranged from 0.41 to 2.94, suggesting that PHS46+African may be up to 7 times more beneficial to some African men than others. The explained relative risk for PHS46+African varied from 3.6% to 9.9% for individuals with low and high CF values, respectively. By cross-referencing our dataset with 1000 Genomes, we identified statistically significant associations between continental and calibration groupings. In conclusion, we identified PCs within 8q24 SNP window that were strongly associated with performance of PHS46+African. Further research to improve clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry
- organism: human
- assay: GWAS summary statistics
- research focus: polygenic risk
- approach: statistical model
- Citations
- 16
- FWCI
- 1.69
- Field percentile
- top 17%
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