- Title
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
- Creator
- Lee, James J.; Wedow, Robbee; Okbay, Aysu; Kong, Edward; Maghzian, Omeed; Zacher, Meghan; Nguyen-Viet, Tuan Anh; Bowers, Peter; Sidorenko, Julia; Karlsson Linnér, Richard; Fontana, Mark Alan; Kundu, Tushar; Lee, Chanwook; Li, Hui; Li, Ruoxi; Royer, Rebecca; Timshel, Pascal N.; Walters, Raymond K.; Willoughby, Emily A.; Yengo, Loïc; Agee, Michelle; Oldmeadow, Christopher; Holliday, Elizabeth G.; Scott, Rodney J.; Attia, John R.
- Relation
- Nature Genetics Vol. 50, Issue 8, p. 1112-1121
- Publisher Link
- http://dx.doi.org/10.1038/s41588-018-0147-3
- Publisher
- Nature Publishing Group
- Resource Type
- journal article
- Date
- 2018
- Description
- 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.
- Subject
- SNPs; heterogeneous effects; neuron-to-neuron communication; educational attainment; brain-development processes
- Identifier
- http://hdl.handle.net/1959.13/1464843
- Identifier
- uon:47126
- Identifier
- ISSN:1061-4036
- Language
- eng
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