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Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24

  • UKGPCS Collaborators
  • , The PRACTICAL Consortium
  • The Institute of Cancer Research
  • University of California at San Diego
  • George Washington University
  • University of Miami
  • Royal Marsden NHS Foundation Trust
  • University of Manchester
  • University of Warwick
  • Fred Hutchinson Cancer Research Center
  • CHRISTUS Santa Rosa Hospital
  • Vanderbilt University
  • International Epidemiology Institute
  • Brigham and Women’s Hospital
  • Washington University St. Louis
  • Sorbonne Université
  • Tenon Hospital
  • Institut national de la santé et de la recherche médicale
  • Moffitt Cancer Center
  • Louisiana State University Health Sciences Center
  • National Institutes of Health
  • University of North Carolina at Chapel Hill
  • School of Public Health
  • Université des Antilles
  • PRES Sorbonne Paris Cité
  • University of Texas Health Science Center at San Antonio
  • Stanford University
  • University of Tennessee Health Science Center
  • Case Western Reserve University
  • Center for Prostate Disease Research
  • Institut national de la recherche scientifique
  • University of Montreal
  • Meharry Medical College
  • Queen's University Belfast
  • University of Oslo

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

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.

Original languageEnglish
Pages (from-to)229-237
Number of pages9
JournalProstate Cancer and Prostatic Diseases
Volume25
Issue number2
DOIs
StatePublished - Feb 2022

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