Recommendations for responsible use of population descriptors in polygenic risk score development.
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| Title: | Recommendations for responsible use of population descriptors in polygenic risk score development. |
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| Authors: | Smith JL; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA., Adebamowo CA; Department of Epidemiology and Public Health, University of Maryland, Baltimore, MD, USA., Adebamowo SN; Department of Epidemiology and Public Health, University of Maryland, Baltimore, MD, USA., Darst BF; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA., Fullerton SM; Department of Bioethics and Humanities, University of Washington, Seattle, WA, USA., Gogarten SM; Department of Biostatistics, University of Washington, Seattle, WA, USA., Hamed ME; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA., Hirbo JB; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA., Hysong MR; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Johar AS; Menzies Institute of Medical Research, University of Tasmania, Hobart, Tasmania, Australia., Khan AT; Department of Biostatistics, University of Washington, Seattle, WA, USA., Kullo IJ; Division of Cardiovascular Medicine, Cardiovascular Research Center and the Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA., Konigsberg IR; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Kraft P; Department of Epidemiology, Harvard University, Boston, MA, USA., Lange LA; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Li Y; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Martin AR; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA., Nelson SC; Department of Biostatistics, University of Washington, Seattle, WA, USA., Choudhury A; Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa., Ramsay M; Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa., Cobran EK; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Schaid DJ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Sharma J; Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA., Wang Y; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA., Wojcik GL; Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA., Sun Q; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. sunq@chop.edu.; Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. sunq@chop.edu.; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA. sunq@chop.edu. |
| Corporate Authors: | Polygenic Risk Methods Development (PRIMED) Consortium |
| Source: | Nature genetics [Nat Genet] 2025 Dec; Vol. 57 (12), pp. 2962-2971. Date of Electronic Publication: 2025 Nov 24. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Nature Pub. Co Country of Publication: United States NLM ID: 9216904 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1718 (Electronic) Linking ISSN: 10614036 NLM ISO Abbreviation: Nat Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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