Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
[Preprint]. 2023 May 15:2023.05.12.23289860.
doi: 10.1101/2023.05.12.23289860.

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

Burcu F Darst  1   2 Jiayi Shen  1 Ravi K Madduri  3 Alexis A Rodriguez  3 Yukai Xiao  3 Xin Sheng  1 Edward J Saunders  4 Tokhir Dadaev  4 Mark N Brook  4 Thomas J Hoffmann  5 Kenneth Muir  6 Peggy Wan  1 Loic Le Marchand  7 Lynne Wilkens  7 Ying Wang  8 Johanna Schleutker  9 Robert J MacInnis  10   11 Cezary Cybulski  12 David E Neal  13   14   15 Børge G Nordestgaard  16   17 Sune F Nielsen  16   17 Jyotsna Batra  18   19 Judith A Clements  18   19 Australian Prostate Cancer BioResourceHenrik Grönberg  20 Nora Pashayan  21   22 Ruth C Travis  23 Jong Y Park  24 Demetrius Albanes  25 Stephanie Weinstein  25 Lorelei A Mucci  26 David J Hunter  27 Kathryn L Penney  28 Catherine M Tangen  29 Robert J Hamilton  30   31 Marie-Élise Parent  32   33 Janet L Stanford  2   34 Stella Koutros  25 Alicja Wolk  35   36 Karina D Sørensen  37   38 William J Blot  39   40 Edward D Yeboah  41   42 James E Mensah  41   42 Yong-Jie Lu  43 Daniel J Schaid  44 Stephen N Thibodeau  45 Catharine M West  46 Christiane Maier  47 Adam S Kibel  48 Géraldine Cancel-Tassin  49   50 Florence Menegaux  51 Esther M John  52   53   54 Eli Marie Grindedal  55 Kay-Tee Khaw  56 Sue A Ingles  57 Ana Vega  58   59   60 Barry S Rosenstein  61   62 Manuel R Teixeira  63   64 NC-LA PCaP InvestigatorsManolis Kogevinas  65   66   67   68 Lisa Cannon-Albright  69   70 Chad Huff  71 Luc Multigner  72 Radka Kaneva  73 Robin J Leach  74 Hermann Brenner  75   76   77 Ann W Hsing  78 Rick A Kittles  79 Adam B Murphy  80 Christopher J Logothetis  81 Susan L Neuhausen  82 William B Isaacs  83 Barbara Nemesure  84 Anselm J Hennis  84   85 John Carpten  86 Hardev Pandha  87 Kim De Ruyck  88 Jianfeng Xu  89 Azad Razack  90 Soo-Hwang Teo  91 Canary PASS InvestigatorsLisa F Newcomb  2   92 Jay H Fowke  93 Christine Neslund-Dudas  94 Benjamin A Rybicki  94 Marija Gamulin  95 Nawaid Usmani  96   97 Frank Claessens  98 Manuela GagoDominguez  99   100 Jose Esteban Castelao  101 Paul A Townsend  102   103 Dana C Crawford  104 Gyorgy Petrovics  105 Graham Casey  106 Monique J Roobol  107 Jennifer F Hu  108 Sonja I Berndt  25 Stephen K Van Den Eeden  109   110 Douglas F Easton  22 Stephen J Chanock  25 Michael B Cook  25 Fredrik Wiklund  20 John S Witte  111 Rosalind A Eeles  112   113 Zsofia Kote-Jarai  112 Stephen Watya  114 John M Gaziano  115   116   117 Amy C Justice  118   119 David V Conti  1 Christopher A Haiman  1
Affiliations

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

Burcu F Darst et al. medRxiv. .

Update in

  • Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry.
    Darst BF, Shen J, Madduri RK, Rodriguez AA, Xiao Y, Sheng X, Saunders EJ, Dadaev T, Brook MN, Hoffmann TJ, Muir K, Wan P, Le Marchand L, Wilkens L, Wang Y, Schleutker J, MacInnis RJ, Cybulski C, Neal DE, Nordestgaard BG, Nielsen SF, Batra J, Clements JA, Cancer BioResource AP, Grönberg H, Pashayan N, Travis RC, Park JY, Albanes D, Weinstein S, Mucci LA, Hunter DJ, Penney KL, Tangen CM, Hamilton RJ, Parent MÉ, Stanford JL, Koutros S, Wolk A, Sørensen KD, Blot WJ, Yeboah ED, Mensah JE, Lu YJ, Schaid DJ, Thibodeau SN, West CM, Maier C, Kibel AS, Cancel-Tassin G, Menegaux F, John EM, Grindedal EM, Khaw KT, Ingles SA, Vega A, Rosenstein BS, Teixeira MR; NC-LA PCaP Investigators; Kogevinas M, Cannon-Albright L, Huff C, Multigner L, Kaneva R, Leach RJ, Brenner H, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Neuhausen SL, Isaacs WB, Nemesure B, Hennis AJ, Carpten J, Pandha H, De Ruyck K, Xu J, Razack A, Teo SH; Canary PASS Investigators; Newcomb LF, Fowke JH, Neslund-Dudas C, Rybicki BA, Gamulin M, Usmani N, Claessens F, Gago-Dominguez M, Castelao JE, Townsend PA, Crawford DC, Petrovics G, Casey G, Roobol MJ, Hu JF, Berndt SI, Van Den Eeden SK, Easton DF, Chanock SJ, Cook MB, Wiklund F… See abstract for full author list ➔ Darst BF, et al. 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.

PubMed Disclaimer

Conflict of interest statement

Competing Interests Statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
Comparison of PRS performance in the CA UG Study and the UK Biobank testing data. PRS performance is evaluated using area under the curve (AUC) estimated in men of A) African and C) European ancestry and OR of prostate cancer for each SD increase in PRS in men of B) African and D) European ancestry.
Figure 2.
Figure 2.
Comparison of PRS performance in the MVP validation data. PRS performance is evaluated using area under the curve (AUC) estimated in men of A) African and C) European ancestry and OR of prostate cancer for each SD increase in PRS in men of B) African and D) European ancestry.

References

    1. 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.
    1. 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
    1. 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
    1. Plym A., Penney K.L., Kalia S., Kraft P., Conti D.V., Haiman C., Mucci L.A., and Kibel A.S. (2021). Evaluation of a Multiethnic Polygenic Risk Score Model for Prostate Cancer. J Natl Cancer Inst. 10.1093/jnci/djab058. - DOI - PMC - PubMed
    1. International Schizophrenia Consortium, Purcell S.M., Wray N.R., Stone J.L., Visscher P.M., O’Donovan M.C., Sullivan P.F., and Sklar P. (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460, 748–752. 10.1038/nature08185. - DOI - PMC - PubMed

Publication types