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Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

Authors :
23Andme Research Team
Abdellaoui, A.
Peyrot, Wouter J
Hottenga, J.J.
Vinkhuyzen, A.A.E.
Willemsen, Gonneke
Boomsma, D.I.
van Duijn, Cornelia M
Penninx, Brenda
Posthuma, Danielle
Uitterlinden, André G
23Andme Research Team
Abdellaoui, A.
Peyrot, Wouter J
Hottenga, J.J.
Vinkhuyzen, A.A.E.
Willemsen, Gonneke
Boomsma, D.I.
van Duijn, Cornelia M
Penninx, Brenda
Posthuma, Danielle
Uitterlinden, André G
Source :
Vrije Universiteit Amsterdam Repository
Publication Year :
2018

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.

Details

Database :
OAIster
Journal :
Vrije Universiteit Amsterdam Repository
Notes :
Nature Genetics vol.50 (2018) nr.8 p.1112-1121 [ISSN 1061-4036], English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1136604453
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1038.s41588-018-0147-3