Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.
| Year of Publication |
2018
|
|---|---|
| Author | |
| Journal |
Nature Genetics
|
| Volume |
50
|
| Issue |
8
|
| Number of Pages |
1112-1121
|
| ISSN Number |
1546-1718
|
| 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. |
| Date Published |
2018 07 23
|
| DOI |
10.1038/s41588-018-0147-3
|
| Alternate Journal |
Nat. Genet.
|
| PMID |
30038396
|
| PMCID |
PMC6393768
|
| Download citation |