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Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals.

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Title: Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals.
Authors: 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.; Usher Institute, University of Edinburgh, Edinburgh, UK., Porteous DJ; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK.; Usher Institute, University of Edinburgh, Edinburgh, UK.; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK., Freese J; Department of Sociology, Stanford University, Stanford, CA, USA., Herd P; McCourt School of Public Policy, Georgetown University, Washington, DC, USA., Watson C; UCLA Anderson School of Management, Los Angeles, CA, USA., Jala J; UCLA Anderson School of Management, Los Angeles, CA, USA., Conley D; Department of Sociology, Princeton University, Princeton, NJ, USA., Koellinger PD; Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.; Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI, USA., Johannesson M; Department of Economics, Stockholm School of Economics, Stockholm, Sweden., Laibson D; Department of Economics, Harvard University, Cambridge, MA, USA., Meyer MN; Center for Translational Bioethics and Health Care Policy, Geisinger Health System, Danville, PA, USA., Lee JJ; Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA., Kong A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Yengo L; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia., Cesarini D; National Bureau of Economic Research, Cambridge, MA, USA.; Department of Economics, New York University, New York, NY, USA.; Center for Experimental Social Science, New York University, New York, NY, USA., Turley P; Department of Economics, University of Southern California, Los Angeles, CA, USA.; Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA., Visscher PM; Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia. peter.visscher@uq.edu.au., Beauchamp JP; Interdisciplinary Center for Economic Science and Department of Economics, George Mason University, Fairfax, VA, USA., Benjamin DJ; National Bureau of Economic Research, Cambridge, MA, USA. daniel.benjamin@gmail.com.; UCLA Anderson School of Management, Los Angeles, CA, USA. daniel.benjamin@gmail.com.; Human Genetics Department, UCLA David Geffen School of Medicine, Los Angeles, CA, USA. daniel.benjamin@gmail.com., Young AI; UCLA Anderson School of Management, Los Angeles, CA, USA. alextisyoung@gmail.com.; Human Genetics Department, UCLA David Geffen School of Medicine, Los Angeles, CA, USA. alextisyoung@gmail.com.
Corporate Authors: 23andMe Research Team, Social Science Genetic Association Consortium
Source: Nature genetics [Nat Genet] 2022 Apr; Vol. 54 (4), pp. 437-449. Date of Electronic Publication: 2022 Mar 31.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
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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