학술논문

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
Document Type
Report
Source
Nature Genetics. August 2018, Vol. 50 Issue 8, 1112
Subject
Usage
Analysis
Research
Health education -- Analysis
Multifactorial traits -- Research
Cell interactions -- Research
Genome-wide association studies -- Usage
Genetic research
Neurons
Genes
Single nucleotide polymorphisms
Genomes
Genomics
Phenotypes
Language
English
ISSN
1061-4036
Abstract
Author(s): James J. Lee [sup.1] , Robbee Wedow [sup.2] [sup.3] [sup.4] , Aysu Okbay [sup.5] [sup.6] , Edward Kong [sup.7] , Omeed Maghzian [sup.7] , Meghan Zacher [sup.8] , Tuan [...]
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. Gene discovery and polygenic predictions from a genome-wide association study of educational attainment in 1.1 million individuals.