Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.
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Authors
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
23andMe Research Team
COGENT (Cognitive Genomics Consortium)
Social Science Genetic Association Consortium
Alver, Maris
Bao, Yanchun
Clark, David W
Furlotte, Nicholas A
Joshi, Peter K
Kemper, Kathryn E
Kleinman, Aaron
Mägi, Reedik
Trampush, Joey W
Verma, Shefali Setia
Wu, Yang
Lam, Max
Zheng, Zhili
Boardman, Jason D
Campbell, Harry
Freese, Jeremy
Harris, Kathleen Mullan
Hayward, Caroline
Herd, Pamela
Kumari, Meena
Lencz, Todd
Malhotra, Anil K
Metspalu, Andres
Milani, Lili
Porteous, David J
Ritchie, Marylyn D
Smart, Melissa C
Smith, Blair H
Tung, Joyce Y
Wilson, James F
Beauchamp, Jonathan P
Conley, Dalton C
Esko, Tõnu
Lehrer, Steven F
Magnusson, Patrik KE
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
Publication Date
2018-08Journal Title
Nature Genetics
ISSN
1061-4036
Publisher
Springer Nature
Volume
50
Issue
8
Pages
1112-1121
Language
English
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Lee, J. J., Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.. Nature Genetics, 50 (8), 1112-1121. https://doi.org/10.1038/s41588-018-0147-3
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.
Sponsorship
Medical Research Council (MC_UU_12015/1), Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0512-10135), MRC (MC_PC_13048), Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0617-10149)
Funder references
Medical Research Council (MC_UU_12015/1)
MRC (MC_PC_13048)
Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0512-10135)
Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0617-10149)
Medical Research Council (MC_UU_12015/2)
Identifiers
External DOI: https://doi.org/10.1038/s41588-018-0147-3
This record's URL: https://www.repository.cam.ac.uk/handle/1810/283132
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