Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
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.
|Contributor||23andMe Research Team, COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Constortium|
|Persistent URL||dx.doi.org/10.1038/s41588-018-0147-3, hdl.handle.net/1765/109626|
Lee, J.J. (James), Wedow, R. (Robbee), Okbay, A. (Aysu), Kong, E. (Edward), Maghzian, O. (Omeed), Zacher, M. (Meghan), … Yengo, L. (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. doi:10.1038/s41588-018-0147-3