| Literature DB >> 30038396 |
James J Lee1, Robbee Wedow2,3,4, Aysu Okbay5,6, Edward Kong7, Omeed Maghzian7, Meghan Zacher8, Tuan Anh Nguyen-Viet9, Peter Bowers7, Julia Sidorenko10,11, Richard Karlsson Linnér12,13,14, Mark Alan Fontana9,15, Tushar Kundu9, Chanwook Lee7, Hui Li7, Ruoxi Li9, Rebecca Royer9, Pascal N Timshel16,17, Raymond K Walters18,19, Emily A Willoughby1, Loïc Yengo10, Maris Alver11, Yanchun Bao20, David W Clark21, Felix R Day22, Nicholas A Furlotte23, Peter K Joshi21,24, Kathryn E Kemper10, Aaron Kleinman23, Claudia Langenberg22, Reedik Mägi11, Joey W Trampush25,26, Shefali Setia Verma27, Yang Wu10, Max Lam28,29, Jing Hua Zhao22, Zhili Zheng10,30, Jason D Boardman2,3,4, Harry Campbell21, Jeremy Freese31, Kathleen Mullan Harris32,33, Caroline Hayward34, Pamela Herd20,35, Meena Kumari20, Todd Lencz36,37,38, Jian'an Luan22, Anil K Malhotra36,37,38, Andres Metspalu11,39, Lili Milani11, Ken K Ong22, John R B Perry22, David J Porteous40, Marylyn D Ritchie27, Melissa C Smart21, Blair H Smith41,42, Joyce Y Tung23, Nicholas J Wareham22, James F Wilson21,34, Jonathan P Beauchamp43, Dalton C Conley44, Tõnu Esko11, Steven F Lehrer45,46,47, Patrik K E Magnusson48, Sven Oskarsson49, Tune H Pers16,17, Matthew R Robinson10,50, Kevin Thom51, Chelsea Watson9, Christopher F Chabris52, Michelle N Meyer53, David I Laibson7, Jian Yang10,54, Magnus Johannesson55, Philipp D Koellinger12,13,14, Patrick Turley18,19, Peter M Visscher56,57, Daniel J Benjamin58,59,60, David Cesarini47,51,61.
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.Entities:
Mesh：
Year: 2018 PMID： 30038396 PMCID： PMC6393768 DOI： 10.1038/s41588-018-0147-3
Source DB: PubMed Journal: Nat Genet ISSN： 1061-4036 Impact factor: 38.330