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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
GWAS; educational attainment
List of contributors:
Biino, Ginevra; Cucca, Francesco
Authors of the University:
BIINO GINEVRA
Handle:
https://iris.cnr.it/handle/20.500.14243/351207
Published in:
NATURE GENETICS (PRINT)
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-85050543338&origin=inward
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