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Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals.
Okbay, Aysu; Wu, Yeda; Wang, Nancy; Jayashankar, Hariharan; Bennett, Michael; Nehzati, Seyed Moeen; Sidorenko, Julia; Kweon, Hyeokmoon; Goldman, Grant; Gjorgjieva, Tamara; Jiang, Yunxuan; Hicks, Barry; Tian, Chao; Hinds, David A; Ahlskog, Rafael; Magnusson, Patrik K E; Oskarsson, Sven; Hayward, Caroline; Campbell, Archie; Porteous, David J; Freese, Jeremy; Herd, Pamela; Watson, Chelsea; Jala, Jonathan; Conley, Dalton; Koellinger, Philipp D; Johannesson, Magnus; Laibson, David; Meyer, Michelle N; Lee, James J; Kong, Augustine; Yengo, Loic; Cesarini, David; Turley, Patrick; Visscher, Peter M; Beauchamp, Jonathan P; Benjamin, Daniel J; Young, Alexander I.
Affiliation
  • Okbay A; Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. a.okbay@vu.nl.
  • Wu Y; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
  • 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.
  • Nehzati SM; UCLA Anderson School of Management, Los Angeles, CA, USA.
  • Sidorenko J; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
  • Kweon H; Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Goldman G; National Bureau of Economic Research, Cambridge, MA, USA.
  • Gjorgjieva T; National Bureau of Economic Research, Cambridge, MA, USA.
  • Jiang Y; 23andMe, Inc., Sunnyvale, CA, USA.
  • Hicks B; 23andMe, Inc., Sunnyvale, CA, USA.
  • Tian C; 23andMe, Inc., Sunnyvale, CA, USA.
  • Hinds DA; 23andMe, Inc., Sunnyvale, CA, USA.
  • Ahlskog R; Department of Government, Uppsala University, Uppsala, Sweden.
  • Magnusson PKE; Swedish Twin Registry, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Oskarsson S; Department of Government, Uppsala University, Uppsala, Sweden.
  • Hayward C; MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.
  • Campbell A; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.
  • Porteous DJ; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Freese J; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.
  • Herd P; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Watson C; McCourt School of Public Policy, Georgetown University, Washington, DC, USA.
  • Koellinger PD; UCLA Anderson School of Management, Los Angeles, CA, USA.
  • Johannesson M; UCLA Anderson School of Management, Los Angeles, CA, USA.
  • Laibson D; Department of Sociology, Princeton University, Princeton, NJ, USA.
  • Meyer MN; Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Lee JJ; Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI, USA.
  • Kong A; Department of Economics, Stockholm School of Economics, Stockholm, Sweden.
  • Yengo L; Department of Economics, Harvard University, Cambridge, MA, USA.
  • Cesarini D; Center for Translational Bioethics and Health Care Policy, Geisinger Health System, Danville, PA, USA.
  • Turley P; Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA.
  • Visscher PM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Beauchamp JP; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
  • Benjamin DJ; National Bureau of Economic Research, Cambridge, MA, USA.
  • Young AI; Department of Economics, New York University, New York, NY, USA.
Nat Genet ; 54(4): 437-449, 2022 04.
Article in En | MEDLINE | ID: mdl-35361970
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Full text: 1 Database: MEDLINE Main subject: Multifactorial Inheritance / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2022 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Multifactorial Inheritance / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2022 Type: Article