Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

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.

Original publication

DOI

10.1038/s41588-018-0147-3

Type

Journal article

Journal

Nature genetics

Publication Date

23/07/2018

Volume

50

Pages

1112 - 1121

Addresses

Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA.

Keywords

23andMe Research Team, COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Humans, Cohort Studies, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Educational Status, Female, Male, Genome-Wide Association Study