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Abstract
This genome-wide association study (GWAS) of educational attainment (EA) in ~3 million individuals identified 3,952 SNPs. A polygenic index (PGI) explained 12–16% of EA variance and predicted risk for ten diseases. Direct effects (controlling for parental PGIs) explained roughly half the PGI’s association with EA. Mate-pair PGI correlation was too high for phenotypic assortment alone, suggesting additional assortment on PGI-associated factors. A dominance deviations GWAS found no genome-wide significant SNPs, while an X-chromosome GWAS identified 57.
Publisher
Nature Genetics
Published On
Mar 31, 2022
Authors
Aysu Okbay, Yeda Wu, Nancy Wang, Hariharan Jayashankar, Michael Bennett, Seyed Moeen Nehzati, Julia Sidorenko, Hyeokmoon Kweon, Grant Goldman, Tamara Gjorgjieva, Yunxuan Jiang, Barry Hicks, Chao Tian, David A. Hinds, Rafael Ahlskog, Patrik K. E. Magnusson, Sven Oskarsson, Caroline Hayward, Archie Campbell, David J. Porteous, Jeremy Freese, Pamela Herd, Chelsea Watson, Jonathan Jala, Dalton Conley, Philipp D. Koellinger, Magnus Johannesson, David Laibson, Michelle N. Meyer, James J. Lee, Augustine Kong, Loic Yengo, David Cesarini, Patrick Turley, Peter M. Visscher, Jonathan P. Beauchamp, Daniel J. Benjamin, Alexander I. Young
Tags
genome-wide association study
educational attainment
SNPs
polygenic index
disease risk
genetic factors
phenotypic assortment

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