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

doi:10.1038/s41588-022-01016-z

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Article

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

Nature genetics - 1 Apr 2022

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

Abstract excerpt

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 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for...

Topics

Genome-Wide Association Study
Humans
Multifactorial Inheritance
Polymorphism, Single Nucleotide

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 35361970
DOI: 10.1038/s41588-022-01016-z
PMCID: PMC9005349

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