全基因组关联研究
生物
单核苷酸多态性
学历
遗传力
维加维斯
遗传学
SNP公司
遗传关联
基因
基因型
经济增长
经济
作者
James J. Lee,Robbee Wedow,Aysu Okbay,Edward Kong,Omeed Maghzian,Meghan Zacher,Tuan Anh Nguyen-Viet,Peter N. Bowers,Julia Sidorenko,Richard Karlsson Linnér,Mark Alan Fontana,Tushar Kundu,Chan Wook Lee,Hui Li,Ruoxi Li,Rebecca Royer,Pascal Timshel,Raymond K. Walters,Emily A. Willoughby,Loïc Yengo
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2018-07-20
卷期号:50 (8): 1112-1121
被引量:2469
标识
DOI:10.1038/s41588-018-0147-3
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI