Journal
NATURE GENETICS
Volume 50, Issue 8, Pages 1112-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41588-018-0147-3
Keywords
-
Categories
Funding
- Social Science Genetic Association Consortium (SSGAC)
- Swedish Research Council [2017-00641, 421-2013-1061]
- Ragnar Soderberg Foundation [E9/11, E42/15]
- Jan Wallander and Tom Hedelius Foundation
- ERC Consolidator Grant [647648 EdGe]
- Pershing Square Fund of the Foundations of Human Behavior
- Open Philanthropy Project [2016-152872]
- NIA/NIH [P01-AG005842, P01-AG005842-20S2, P30-AG012810, T32-AG000186-23, R01-AG042568]
- BBSRC [BB/F019394/1, BB/F022441/1] Funding Source: UKRI
- ESRC [ES/M008592/1, ES/S008349/1, ES/K005774/1] Funding Source: UKRI
- MRC [G0901461, G1001799, G0600237, MC_UU_12015/1, MR/N01104X/1, 1811434, MC_UU_12015/2, MR/N01104X/2, G0100594] Funding Source: UKRI
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available