作者
James J Lee, Robbee Wedow, Aysu Okbay, Edward Kong, Omeed Maghzian, Meghan Zacher, Tuan Anh Nguyen-Viet, Peter Bowers, Julia Sidorenko, Richard Karlsson Linnér, Mark Alan Fontana, Tushar Kundu, Chanwook Lee, Hui Li, Ruoxi Li, Rebecca Royer, Pascal N Timshel, Raymond K Walters, Emily A Willoughby, Loïc Yengo, Maris Alver, Yanchun Bao, David W Clark, Felix R Day, Nicholas A Furlotte, Peter K Joshi, Kathryn E Kemper, Aaron Kleinman, Claudia Langenberg, Reedik Mägi, Joey W Trampush, Shefali Setia Verma, Yang Wu, Max Lam, Jing Hua Zhao, Zhili Zheng, Jason D Boardman, Harry Campbell, Jeremy Freese, Kathleen Mullan Harris, Caroline Hayward, Pamela Herd, Meena Kumari, Todd Lencz, Jian’an Luan, Anil K Malhotra, Andres Metspalu, Lili Milani, Ken K Ong, John RB Perry, David J Porteous, Marylyn D Ritchie, Melissa C Smart, Blair H Smith, Joyce Y Tung, Nicholas J Wareham, James F Wilson, Jonathan P Beauchamp, Dalton C Conley, Tõnu Esko, Steven F Lehrer, Patrik KE Magnusson, Sven Oskarsson, Tune H Pers, Matthew R Robinson, Kevin Thom, Chelsea Watson, Christopher F Chabris, Michelle N Meyer, David I Laibson, Jian Yang, Magnus Johannesson, Philipp D Koellinger, Patrick Turley, Peter M Visscher, Daniel J Benjamin, David Cesarini, 23andMe Research Team, Social Science Genetic Association Consortium
发表日期
2018/8
期刊
Nature genetics
卷号
50
期号
8
页码范围
1112
出版商
NIH Public Access
简介
We conduct a large-scale genetic association analysis of educational attainment in a sample of~ 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~ 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 …
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JJ Lee, R Wedow, A Okbay, E Kong, O Maghzian… - Nature genetics, 2018