Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
- PMID: 30038396
- PMCID: PMC6393768
- DOI: 10.1038/s41588-018-0147-3
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
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.
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Comment in
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Lessons from 1 million genomes.Nat Rev Genet. 2018 Oct;19(10):592-593. doi: 10.1038/s41576-018-0047-5. Nat Rev Genet. 2018. PMID: 30093724 No abstract available.
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