Wedow, Robbee (2018). Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment. 2018 Add Health Users Conference.
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 loci. For the loci taken together, we find evidence of heterogeneous effects across environments. The loci implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 loci and estimate a SNP heritability of ~0.3%, lower than that expected for an autosome of similar length. 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 in the Add Health dataset. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.
2018 Add Health Users Conference
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