Article
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.
Nature genetics - 23 Jul 2018
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, Alver Maris, Bao Yanchun, Clark David W, Day Felix R, Furlotte Nicholas A, Joshi Peter K, Kemper Kathryn E, Kleinman Aaron, Langenberg Claudia, Mägi Reedik, Trampush Joey W, Verma Shefali Setia, Wu Yang, Lam Max, Zhao Jing Hua, Zheng Zhili, Boardman Jason D, Campbell Harry, Freese Jeremy, Harris Kathleen Mullan, Hayward Caroline, Herd Pamela, Kumari Meena, Lencz Todd, Luan Jian'an, Malhotra Anil K, Metspalu Andres, Milani Lili, Ong Ken K, Perry John R B, Porteous David J, Ritchie Marylyn D, Smart Melissa C, Smith Blair H, Tung Joyce Y, Wareham Nicholas J, Wilson James F, Beauchamp Jonathan P, Conley Dalton C, Esko Tõnu, Lehrer Steven F, Magnusson Patrik K E, Oskarsson Sven, Pers Tune H, Robinson Matthew R, Thom Kevin, Watson Chelsea, Chabris Christopher F, Meyer Michelle N, Laibson David I, Yang Jian, Johannesson Magnus, Koellinger Philipp D, Turley Patrick, Visscher Peter M, Benjamin Daniel J, Cesarini David
Abstract excerpt
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...
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