Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 1...

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Bibliographic Details
Published in:Nature genetics Vol. 54; no. 4; pp. 437 - 449
Main Authors: Okbay, Aysu, Wu, Yeda, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Nehzati, Seyed Moeen, Sidorenko, Julia, Kweon, Hyeokmoon, Goldman, Grant, Gjorgjieva, Tamara, Jiang, Yunxuan, Hicks, Barry, Tian, Chao, Hinds, David A., Ahlskog, Rafael, Magnusson, Patrik K. E., Oskarsson, Sven, Hayward, Caroline, Campbell, Archie, Porteous, David J., Freese, Jeremy, Herd, Pamela, Watson, Chelsea, Jala, Jonathan, Conley, Dalton, Koellinger, Philipp D., Johannesson, Magnus, Laibson, David, Meyer, Michelle N., Lee, James J., Kong, Augustine, Yengo, Loic, Cesarini, David, Turley, Patrick, Visscher, Peter M., Beauchamp, Jonathan P., Benjamin, Daniel J., Young, Alexander I.
Format: Journal Article
Language:English
Published: New York Nature Publishing Group US 01.04.2022
Nature Publishing Group
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ISSN:1061-4036, 1546-1718, 1546-1718
Online Access:Get full text
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