AI Article Synopsis

  • * The identified SNPs are linked to genes that influence brain development and communication between neurons, suggesting a biological basis for educational achievement.
  • * Additionally, we analyzed the X chromosome and found 10 more significant SNPs, with our models explaining 11-13% of the variance in educational attainment, enhancing the potential of polygenic scores in research.

Article 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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393768PMC
http://dx.doi.org/10.1038/s41588-018-0147-3DOI Listing

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