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
Day, Felix R
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
Ong, Ken K
Perry, John RB
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 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.
Keywords
Adult, Aged, Aged, 80 and over, Cohort Studies, Educational Status, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide
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)
TCC (None)
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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