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

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23 juillet 2018

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info:eu-repo/semantics/altIdentifier/doi/10.1038/s41588-018-0147-3

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info:eu-repo/semantics/altIdentifier/pmid/30038396

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info:eu-repo/semantics/altIdentifier/eissn/1546-1718

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info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_C6C6C43DAEB11

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info:eu-repo/semantics/openAccess , CC BY 4.0 , https://creativecommons.org/licenses/by/4.0/




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J.J. Lee et al., « Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. », Serveur académique Lausannois, ID : 10.1038/s41588-018-0147-3


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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.

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