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Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

  • 23andMe Research Team
  • , COGENT (Cognitive Genomics Consortium)
  • , Social Science Genetic Association Consortium
  • Department of Psychology
  • University of Minnesota Twin Cities
  • Department of Sociology
  • University of Colorado Boulder
  • Institute for Behavioral Genetics
  • Institute of Behavioral Science
  • Department of Complex Trait Genetics
  • Vrije Universiteit Amsterdam
  • Department of Economics
  • Harvard University
  • Center for Economic and Social Research
  • University of Southern California
  • Institute for Molecular Bioscience
  • University of Queensland
  • University of Tartu
  • Institute for Behavior and Biology
  • Erasmus University Rotterdam
  • Center for the Advancement of Value in Musculoskeletal Care
  • Hospital for Special Surgery - New York
  • Novo Nordisk Foundation Centre for Basic Metabolic Research
  • University of Copenhagen
  • Statens Serum Institut
  • Analytic and Translational Genetics Unit
  • Massachusetts General Hospital
  • Broad Institute
  • 23andMe Inc.
  • Department of Economics
  • University of Toronto
  • Department of Applied Economics
  • Department of Epidemiology
  • Icelandic Heart Association
  • Faculty of Pharmaceutical Sciences
  • University of Iceland

Research output: Contribution to journal › Article › peer-review

Abstract

Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance in educational attainment and 7–10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.

Original languageEnglish
Pages (from-to)1112-1121
Number of pages10
JournalNature Genetics
Volume50
Issue number8
DOIs
Publication statusPublished - 23 Jul 2018
Externally publishedYes

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