AI Article Synopsis

  • - The study focused on improving prostate cancer risk assessment for men of African ancestry by analyzing a specific polygenic hazard score (PHS46+African), which includes genetic markers linked to the disease.
  • - Researchers utilized principal component analysis to explore genetic subpopulations within the sample, discovering that the effectiveness of the PHS46+African score varied significantly among different groups of African men.
  • - Results indicated that the performance of the PHS46+African score can differ greatly, with some individuals potentially benefiting up to seven times more than others, highlighting the need for tailored strategies in genetic risk assessment to enhance health outcomes in this population.

Article Abstract

Background: 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.

Materials And Methods: Genotypic data were obtained from the PRACTICAL consortium for 6253 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 the performance of PHS46+African. A calibration factor (CF) was formulated using Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC.

Results: 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 data set with 1000 Genomes, we identified significant associations between continental and calibration groupings.

Conclusion: We identified PCs within 8q24 that were strongly associated with the performance of PHS46+African. Further research to improve the clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669040PMC
http://dx.doi.org/10.1038/s41391-021-00403-7DOI Listing

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