This is a preprint.
Evaluating Approaches for Constructing Polygenic Risk Scores for Prostate Cancer in Men of African and European Ancestry
- PMID: 37292833
- PMCID: PMC10246022
- DOI: 10.1101/2023.05.12.23289860
Evaluating Approaches for Constructing Polygenic Risk Scores for Prostate Cancer in Men of African and European Ancestry
Update in
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Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry.Am J Hum Genet. 2023 Jul 6;110(7):1200-1206. doi: 10.1016/j.ajhg.2023.05.010. Epub 2023 Jun 12. Am J Hum Genet. 2023. PMID: 37311464 Free PMC article.
Abstract
Genome-wide polygenic risk scores (GW-PRS) have been reported to have better predictive ability than PRS based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer risk variants from multi-ancestry GWAS and fine-mapping studies (PRS 269 ). GW-PRS models were trained using a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls used to develop the multi-ancestry PRS 269 . Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California/Uganda Study and 8,046 cases and 191,825 controls of European ancestry from the UK Biobank and further validated in 13,643 cases and 210,214 controls of European ancestry and 6,353 cases and 53,362 controls of African ancestry from the Million Veteran Program. In the testing data, the best performing GW-PRS approach had AUCs of 0.656 (95% CI=0.635-0.677) in African and 0.844 (95% CI=0.840-0.848) in European ancestry men and corresponding prostate cancer OR of 1.83 (95% CI=1.67-2.00) and 2.19 (95% CI=2.14-2.25), respectively, for each SD unit increase in the GW-PRS. However, compared to the GW-PRS, in African and European ancestry men, the PRS 269 had larger or similar AUCs (AUC=0.679, 95% CI=0.659-0.700 and AUC=0.845, 95% CI=0.841-0.849, respectively) and comparable prostate cancer OR (OR=2.05, 95% CI=1.87-2.26 and OR=2.21, 95% CI=2.16-2.26, respectively). Findings were similar in the validation data. This investigation suggests that current GW-PRS approaches may not improve the ability to predict prostate cancer risk compared to the multi-ancestry PRS 269 constructed with fine-mapping.
Conflict of interest statement
Competing Interests Statement
The authors have no conflicts of interest to disclose.
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References
-
- Howlander N., Noone A.M., Krapcho M., Miller D., Brest A., Yu M., Ruhl J., Tatalovich Z., Mariotto A., Lewis D.R., et al. (2020). SEER Cancer Statistics Review, 1975–2017. National Cancer Institute.
-
- Kolonel L.N., Henderson B.E., Hankin J.H., Nomura A.M., Wilkens L.R., Pike M.C., Stram D.O., Monroe K.R., Earle M.E., and Nagamine F.S. (2000). A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol 151, 346–357. 10.1093/oxfordjournals.aje.a010213. - DOI - PMC - PubMed
-
- Conti D.V., Darst B.F., Moss L.C., Saunders E.J., Sheng X., Chou A., Schumacher F.R., Olama A.A.A., Benlloch S., Dadaev T., et al. (2021). Transancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nat Genet 53, 65–75. 10.1038/s41588-020-00748-0. - DOI - PMC - PubMed
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