Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment

Lee, James J., Wedow, Robbee, Okbay, Aysu and De Neve, Jan-Emmanuel (2018) Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment. Nature Genetics. (Accepted)

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Abstract

We conduct a large-scale genetic association analysis of educational attainment in a sample of ~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 ~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.

Item Type: Article
Subject(s): Health care
Date Deposited: 31 Jul 2018 08:25
Last Modified: 30 Oct 2018 14:57
Funders: Ragnar Söderberg Foundation, The Swedish Research Council, The Jan Wallander and Tom Hedelius Foundation, ERC Consolidator Grant, Pershing Square Fund of the Foundations of Human Behavior, NIA/NIH
URI: http://eureka.sbs.ox.ac.uk/id/eprint/6881

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