Evaluating Approaches for Constructing Polygenic Risk Scores for Prostate Cancer in Men of African and European Ancestry

Burcu F. Darst,Jiayi Shen,Ravi K Madduri,Alexis A Rodriguez, Yukai Xiao,Xin Sheng,Edward J. Saunders,Tokhir Dadaev,Mark N Brook,Thomas J Hoffmann,Kenneth Muir,Peggy Wan,Loic Le Marchand,Lynne Wilkens,Ying Wang,Johanna Schleutker,Robert J MacInnis,Cezary Cybulski,David E Neal,Borge G Nordestgaard,Sune F Nielsen,Jyotsna Batra,Judith A Clements,Henrik Gronberg,Nora Pashayan,Ruth C Travis,Jong Y Park,Demetrius Albanes,Stephanie Weinstein,Lorelei A Mucci,David J Hunter,Kathryn L Penney,Catherine M Tangen,Robert J Hamilton,Marie-Elise Parent,Janet L Stanford,Stella Koutros,Alicja Wolk,Karina Dalsgaard Sorensen,William J Blot,Edward D Yeboah,James E Mensah,Yong-Jie Lu,Daniel J Schaid,Stephen N Thibodeau,Catharine ML West,Christiane Maier,Adam S Kibel,Geraldine Cancel-Tassin,Florence Menegaux,Esther M John,Eli Marie Grindedal,Kay-Tee Khaw,Sue A Ingles,Ana Vega,Barry S Rosenstein,Manuel R Teixeira,Manolis Kogevinas,Lisa Cannon-Albright,Chad Huff,Luc Multigner,Radka Kaneva,Robin J Leach,Hermann Brenner,Ann W Hsing,Rick A Kittles,Adam B Murphy,Christopher J Logothetis,Susan L Neuhausen,William B Isaacs,Barbara Nemesure,Anselm J M Hennis,John Carpten,Hardev Pandha,Kim De Ruyck,Jianfeng Xu,Azad Razack,Soo-Hwang Teo,Lisa F Newcomb,Jay H Fowke,Christine Neslund-Dudas,Benjamin A Rybicki,Marija Gamulin,Nawaid Usmani,Frank Claessens,Manuela Gago-Dominguez,Jose Esteban Castelao,Paul A Townsend,Dana C Crawford,Gyorgy Petrovics,Graham Casey,Monique J Roobol,Jennifer F Hu,Sonja I Berndt,Stephen K Van Den Eeden,Douglas F Easton,Stephen J Chanock,Michael B Cook,Fredrik Wiklund,John S Witte,Rosalind A. Eeles,Zsofia Kote-Jarai,Stephen Watya,John Michael Gaziano,Amy C Justice,David V. Conti,Christopher A. Haiman

The American Journal of Human Genetics(2023)

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摘要
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 (PRS269). 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 PRS269. 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 PRS269 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 PRS269 constructed with fine-mapping. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This work was supported by the National Cancer Institute at the National Institutes of Health grant (grant numbers U19 CA214253 to C.A.H., R01 CA257328 to C.A.H., U19 CA148537 to C.A.H., R01 CA165862 to C.A.H., and R00 CA246063 to B.F.D.), the Prostate Cancer Foundation (grants 21YOUN11 to B.F.D. and 20CHAS03 to C.A.H.), an award from the Andy Hill Cancer Research Endowment Distinguished Researchers Program (B.F.D.), a Fred Hutch/University of Washington SPORE Career Enhancement Program award (BFD), and the Million Veteran Program-MVP017. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: Written informed consent was obtained from all participants, and study protocols were approved by the Institutional Review Boards at each institute. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes The summary statistics used in this investigation are available through dbGaP under accession code phs001120. 1000 Genomes Project data can be found online: https://www.internationalgenome.org/. UK Biobank data is available to researchers with approved applications.
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关键词
polygenic risk scores,prostate cancer,european ancestry
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