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@ARTICLE{Darst:276858,
      author       = {B. F. Darst and J. Shen and R. K. Madduri and A. A.
                      Rodriguez and Y. Xiao and X. Sheng and E. J. Saunders and T.
                      Dadaev and M. N. Brook and T. J. Hoffmann and K. Muir and P.
                      Wan and L. Le Marchand and L. Wilkens and Y. Wang and J.
                      Schleutker and R. J. MacInnis and C. Cybulski and D. E. Neal
                      and B. G. Nordestgaard and S. F. Nielsen and J. Batra and J.
                      A. Clements and A. P. Cancer BioResource and H. Grönberg
                      and N. Pashayan and R. C. Travis and J. Y. Park and D.
                      Albanes and S. Weinstein and L. A. Mucci and D. J. Hunter
                      and K. L. Penney and C. M. Tangen and R. J. Hamilton and
                      M.-É. Parent and J. L. Stanford and S. Koutros and A. Wolk
                      and K. D. Sørensen and W. J. Blot and E. D. Yeboah and J.
                      E. Mensah and Y.-J. Lu and D. J. Schaid and S. N. Thibodeau
                      and C. M. West and C. Maier and A. S. Kibel and G.
                      Cancel-Tassin and F. Menegaux and E. M. John and E. M.
                      Grindedal and K.-T. Khaw and S. A. Ingles and A. Vega and B.
                      S. Rosenstein and M. R. Teixeira and M. Kogevinas and L.
                      Cannon-Albright and C. Huff and L. Multigner and R. Kaneva
                      and R. J. Leach and H. Brenner$^*$ and A. W. Hsing and R. A.
                      Kittles and A. B. Murphy and C. J. Logothetis and S. L.
                      Neuhausen and W. B. Isaacs and B. Nemesure and A. J. Hennis
                      and J. Carpten and H. Pandha and K. De Ruyck and J. Xu and
                      A. Razack and S.-H. Teo and L. F. Newcomb and J. H. Fowke
                      and C. Neslund-Dudas and B. A. Rybicki and M. Gamulin and N.
                      Usmani and F. Claessens and M. Gago-Dominguez and J. E.
                      Castelao and P. A. Townsend and D. C. Crawford and G.
                      Petrovics and G. Casey and M. J. Roobol and J. F. Hu and S.
                      I. Berndt and S. K. Van Den Eeden and D. F. Easton and S. J.
                      Chanock and M. B. Cook and F. Wiklund and J. S. Witte and R.
                      A. Eeles and Z. Kote-Jarai and S. Watya and J. M. Gaziano
                      and A. C. Justice and D. V. Conti and C. A. Haiman},
      collaboration = {N. P. Investigators and C. P. Investigators},
      title        = {{E}valuating approaches for constructing polygenic risk
                      scores for prostate cancer in men of {A}frican and
                      {E}uropean ancestry.},
      journal      = {The American journal of human genetics},
      volume       = {110},
      number       = {7},
      issn         = {0002-9297},
      address      = {New York, NY},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2023-01170},
      pages        = {1200-1206},
      year         = {2023},
      note         = {2023 Jul 6;110(7):1200-1206},
      abstract     = {Genome-wide polygenic risk scores (GW-PRSs) have been
                      reported to have better predictive ability than PRSs 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 GWASs and
                      fine-mapping studies (PRS269). GW-PRS models were trained
                      with a large and diverse prostate cancer GWAS of 107,247
                      cases and 127,006 controls that we previously 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 ORs 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.
                      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
                      ORs (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 studies. This investigation suggests that current
                      GW-PRS approaches may not improve the ability to predict
                      prostate cancer risk compared to the PRS269 developed from
                      multi-ancestry GWASs and fine-mapping.},
      keywords     = {African ancestry (Other) / genetics (Other) / genome-wide
                      polygenic risk score (Other) / health disparities (Other) /
                      polygenic risk score (Other) / prostate cancer (Other) /
                      risk modeling (Other)},
      cin          = {C070 / C120 / HD01},
      ddc          = {570},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)HD01-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37311464},
      doi          = {10.1016/j.ajhg.2023.05.010},
      url          = {https://inrepo02.dkfz.de/record/276858},
}