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Resource profile and user guide of the Polygenic Index Repository.
Becker, Joel; Burik, Casper A P; Goldman, Grant; Wang, Nancy; Jayashankar, Hariharan; Bennett, Michael; Belsky, Daniel W; Karlsson Linnér, Richard; Ahlskog, Rafael; Kleinman, Aaron; Hinds, David A; Caspi, Avshalom; Corcoran, David L; Moffitt, Terrie E; Poulton, Richie; Sugden, Karen; Williams, Benjamin S; Harris, Kathleen Mullan; Steptoe, Andrew; Ajnakina, Olesya; Milani, Lili; Esko, Tõnu; Iacono, William G; McGue, Matt; Magnusson, Patrik K E; Mallard, Travis T; Harden, K Paige; Tucker-Drob, Elliot M; Herd, Pamela; Freese, Jeremy; Young, Alexander; Beauchamp, Jonathan P; Koellinger, Philipp D; Oskarsson, Sven; Johannesson, Magnus; Visscher, Peter M; Meyer, Michelle N; Laibson, David; Cesarini, David; Benjamin, Daniel J; Turley, Patrick; Okbay, Aysu.
  • Becker J; Department of Economics, New York University, New York, NY, USA.
  • Burik CAP; Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Goldman G; National Bureau of Economic Research, Cambridge, MA, USA.
  • Wang N; National Bureau of Economic Research, Cambridge, MA, USA.
  • Jayashankar H; National Bureau of Economic Research, Cambridge, MA, USA.
  • Bennett M; National Bureau of Economic Research, Cambridge, MA, USA.
  • Belsky DW; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
  • Karlsson Linnér R; Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, USA.
  • Ahlskog R; Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Kleinman A; Department of Government, Uppsala University, Uppsala, Sweden.
  • Hinds DA; 23andMe, Inc., Mountain View, CA, USA.
  • Corcoran DL; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
  • Moffitt TE; Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Poulton R; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA.
  • Sugden K; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
  • Williams BS; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA.
  • Harris KM; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
  • Steptoe A; Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Ajnakina O; Center for Genomic and Computational Biology, Duke University, Durham, NC, USA.
  • Milani L; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
  • Esko T; Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand.
  • Iacono WG; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
  • McGue M; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
  • Magnusson PKE; Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Mallard TT; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Harden KP; Department of Behavioural Science and Health, University College London, London, UK.
  • Tucker-Drob EM; Department of Behavioural Science and Health, University College London, London, UK.
  • Herd P; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
  • Freese J; Institute of Genomics, University of Tartu, Tartu, Estonia.
  • Young A; Institute of Genomics, University of Tartu, Tartu, Estonia.
  • Beauchamp JP; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Koellinger PD; Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
  • Oskarsson S; Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
  • Johannesson M; Swedish Twin Registry, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Visscher PM; Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
  • Meyer MN; Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
  • Laibson D; Population Research Center, The University of Texas at Austin, Austin, TX, USA.
  • Cesarini D; Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
  • Benjamin DJ; Population Research Center, The University of Texas at Austin, Austin, TX, USA.
  • Turley P; McCourt School of Public Policy, Georgetown University, Washington, DC, USA.
  • Okbay A; Department of Sociology, Stanford University, Stanford, CA, USA.
Nat Hum Behav ; 5(12): 1744-1758, 2021 12.
Article en En | MEDLINE | ID: mdl-34140656
ABSTRACT
Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is growing rapidly. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maximize the PGIs' prediction accuracies, we constructed them using genome-wide association studies-some not previously published-from multiple data sources, including 23andMe and UK Biobank. We present a theoretical framework to help interpret analyses involving PGIs. A key insight is that a PGI can be understood as an unbiased but noisy measure of a latent variable we call the 'additive SNP factor'. Regressions in which the true regressor is this factor but the PGI is used as its proxy therefore suffer from errors-in-variables bias. We derive an estimator that corrects for the bias, illustrate the correction, and make a Python tool for implementing it publicly available.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Herencia Multifactorial / Polimorfismo de Nucleótido Simple / Bases de Datos Genéticas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Herencia Multifactorial / Polimorfismo de Nucleótido Simple / Bases de Datos Genéticas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article