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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Nature genetics Ročník 54; číslo 4; s. 437 - 449
Hlavní autoři:	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.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Nature Publishing Group US 01.04.2022 Nature Publishing Group
Témata:	631/208/1515 631/208/205/2138 Agriculture Animal Genetics and Genomics Biomedical and Life Sciences Biomedicine Cancer Research Education Educational attainment Gene Function genetics Genome-wide association studies Genome-Wide Association Study Genomes Genotype & phenotype Gynaecology, Obstetrics and Reproductive Medicine Gynekologi, obstetrik och reproduktionsmedicin Human Genetics Humans Meta-analysis Multifactorial Inheritance Multifactorial Inheritance - genetics Nucleotides Phenotypes Polymorphism Polymorphism, Single Nucleotide - genetics Quantitative genetics Single Nucleotide Single-nucleotide polymorphism X chromosomes
ISSN:	1061-4036, 1546-1718, 1546-1718
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	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 parental PGIs) explain roughly half the PGI’s magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significant SNPs, and a separate X-chromosome additive GWAS identifies 57. A genome-wide association study in ~3 million individuals identifies 3,952 independent variants associated with educational attainment. A polygenic index explains 12–16% of variance for this trait and contributes to risk prediction for ten diseases.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	1061-4036 1546-1718 1546-1718
DOI:	10.1038/s41588-022-01016-z