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Genome-wide association study identifies 74 loci associated with educational attainment.
Okbay, Aysu; Beauchamp, Jonathan P; Fontana, Mark Alan; Lee, James J; Pers, Tune H; Rietveld, Cornelius A; Turley, Patrick; Chen, Guo-Bo; Emilsson, Valur; Meddens, S Fleur W; Oskarsson, Sven; Pickrell, Joseph K; Thom, Kevin; Timshel, Pascal; de Vlaming, Ronald; Abdellaoui, Abdel; Ahluwalia, Tarunveer S; Bacelis, Jonas; Baumbach, Clemens; Bjornsdottir, Gyda; Brandsma, Johannes H; Pina Concas, Maria; Derringer, Jaime; Furlotte, Nicholas A; Galesloot, Tessel E; Girotto, Giorgia; Gupta, Richa; Hall, Leanne M; Harris, Sarah E; Hofer, Edith; Horikoshi, Momoko; Huffman, Jennifer E; Kaasik, Kadri; Kalafati, Ioanna P; Karlsson, Robert; Kong, Augustine; Lahti, Jari; van der Lee, Sven J; deLeeuw, Christiaan; Lind, Penelope A; Lindgren, Karl-Oskar; Liu, Tian; Mangino, Massimo; Marten, Jonathan; Mihailov, Evelin; Miller, Michael B; van der Most, Peter J; Oldmeadow, Christopher; Payton, Antony; Pervjakova, Natalia.
Afiliación
  • Okbay A; Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands.
  • Beauchamp JP; Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands.
  • Fontana MA; Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands.
  • Lee JJ; Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA.
  • Pers TH; Center for Economic and Social Research, University of Southern California, Los Angeles, California 90089-3332, USA.
  • Rietveld CA; Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA.
  • Turley P; Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 2116, USA.
  • Chen GB; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
  • Emilsson V; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark.
  • Meddens SF; Statens Serum Institut, Department of Epidemiology Research, Copenhagen 2300, Denmark.
  • Oskarsson S; Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands.
  • Pickrell JK; Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands.
  • Thom K; Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands.
  • Timshel P; Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA.
  • de Vlaming R; Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia.
  • Abdellaoui A; Icelandic Heart Association, Kopavogur 201, Iceland.
  • Ahluwalia TS; Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavík 107, Iceland.
  • Bacelis J; Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands.
  • Baumbach C; Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands.
  • Bjornsdottir G; Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands.
  • Brandsma JH; Department of Government, Uppsala University, Uppsala 751 20, Sweden.
  • Pina Concas M; New York Genome Center, New York, New York 10013, USA.
  • Derringer J; Department of Economics, New York University, New York, New York 10012, USA.
  • Furlotte NA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
  • Galesloot TE; Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark Lyngby 2800, Denmark.
  • Girotto G; Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands.
  • Gupta R; Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands.
  • Hall LM; Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands.
  • Harris SE; Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands.
  • Hofer E; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark.
  • Horikoshi M; COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark.
  • Huffman JE; Steno Diabetes Center, Gentofte 2820, Denmark.
  • Kaasik K; Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg 416 85, Sweden.
  • Kalafati IP; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany.
  • Karlsson R; Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany.
  • Kong A; deCODE Genetics/Amgen Inc., Reykjavik 101, Iceland.
  • Lahti J; Department of Cell Biology, Erasmus Medical Center Rotterdam, 3015 CN, The Netherlands.
  • van der Lee SJ; Istituto di Ricerca Genetica e Biomedica U.O.S. di Sassari, National Research Council of Italy, Sassari 07100, Italy.
  • deLeeuw C; Psychology, University of Illinois, Champaign, Illinois 61820, USA.
  • Lind PA; 23andMe, Inc., Mountain View, California 94041, USA.
  • Lindgren KO; Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, 6500 HB, The Netherlands.
  • Liu T; Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy.
  • Mangino M; Department of Public Health, University of Helsinki, 00014 Helsinki, Finland.
  • Marten J; Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK.
  • Mihailov E; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK.
  • Miller MB; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
  • van der Most PJ; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Oldmeadow C; Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria.
  • Payton A; Institute for Medical Informatics, Statistics and Documentation, General Hospital and Medical University Graz, Graz 8036, Austria.
  • Pervjakova N; Oxford Centre for Diabetes, Endocrinology &Metabolism, University of Oxford, Oxford OX3 7LE, UK.
Nature ; 533(7604): 539-42, 2016 05 26.
Article en En | MEDLINE | ID: mdl-27225129
ABSTRACT
Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Regulación de la Expresión Génica / Polimorfismo de Nucleótido Simple / Escolaridad / Estudio de Asociación del Genoma Completo / Feto Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Nature Año: 2016 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Regulación de la Expresión Génica / Polimorfismo de Nucleótido Simple / Escolaridad / Estudio de Asociación del Genoma Completo / Feto Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Nature Año: 2016 Tipo del documento: Article País de afiliación: Países Bajos