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Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals
- Source :
- 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature Genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z, Okbay, A, Wu, Y, Wang, N, Jayashankar, H, Bennett, M, Nehzati, S M, Sidorenko, J, Kweon, H, Goldman, G, Gjorgjieva, T, Jiang, Y, Hicks, B, Tian, C, Hinds, D A, Ahlskog, R, Magnusson, P K E, Oskarsson, S, Hayward, C, Campbell, A, Porteous, D J, Freese, J, Herd, P, Agee, M, Alipanahi, B, Auton, A, Bell, R K, Bryc, K, Elson, S L, Fontanillas, P, Furlotte, N A, Hinds, D A, Huber, K E, Kleinman, A, Litterman, N K, McCreight, J C, McIntyre, M H, Mountain, J L, Northover, C A M, Pitts, S J, Sathirapongsasuti, J F, Sazonova, O V, Shelton, J F, Pers, T H, Timshel, P, Ahluwalia, T S, Bønnelykke, K, Bisgaard, H, Sørensen, T I A, 23andMe Research Team, Social Science Genetic Association Consortium & LifeLines Cohort Study 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature Genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z, Nature genetics, 54(4), 437-449. Nature Publishing Group, Nature Genetics, 23Andme Research Team & Social Science Genetic Association Consortium 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z, Nature Genetics, 54, 437-449, Nature Genetics, 54(4), 437-449. Nature Publishing Group, 23andMe Research team, Social Science Genetic Association Consortium & Lifelines Cohort Study 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature Genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z
- Publication Year :
- 2022
-
Abstract
- We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of similar to 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. Karl-Oskar Lindgren ingår i gruppen Social Science Genetic Association Consortium
- Subjects :
- Multifactorial Inheritance
Medizin
HUMAN COMPLEX TRAITS
COHORT PROFILE
BIOBANK
GENETICS
MODELS
HEALTH
LOCI
GWAS
Polymorphism, Single Nucleotide/genetics
genome-wide-significant single-nucleotide polymorphisms (SNPs)
Polymorphism, Single Nucleotide
educational attainment
Genetics
Humans
3111 Biomedicine
ddc:610
Medical Genetics
Multifactorial Inheritance/genetics
Medicinsk genetik
Genome-Wide Association Study
Subjects
Details
- Language :
- English
- ISSN :
- 10614036
- Database :
- OpenAIRE
- Journal :
- 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature Genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z, Okbay, A, Wu, Y, Wang, N, Jayashankar, H, Bennett, M, Nehzati, S M, Sidorenko, J, Kweon, H, Goldman, G, Gjorgjieva, T, Jiang, Y, Hicks, B, Tian, C, Hinds, D A, Ahlskog, R, Magnusson, P K E, Oskarsson, S, Hayward, C, Campbell, A, Porteous, D J, Freese, J, Herd, P, Agee, M, Alipanahi, B, Auton, A, Bell, R K, Bryc, K, Elson, S L, Fontanillas, P, Furlotte, N A, Hinds, D A, Huber, K E, Kleinman, A, Litterman, N K, McCreight, J C, McIntyre, M H, Mountain, J L, Northover, C A M, Pitts, S J, Sathirapongsasuti, J F, Sazonova, O V, Shelton, J F, Pers, T H, Timshel, P, Ahluwalia, T S, Bønnelykke, K, Bisgaard, H, Sørensen, T I A, 23andMe Research Team, Social Science Genetic Association Consortium & LifeLines Cohort Study 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature Genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z, Nature genetics, 54(4), 437-449. Nature Publishing Group, Nature Genetics, 23Andme Research Team & Social Science Genetic Association Consortium 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z, Nature Genetics, 54, 437-449, Nature Genetics, 54(4), 437-449. Nature Publishing Group, 23andMe Research team, Social Science Genetic Association Consortium & Lifelines Cohort Study 2022, ' Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals ', Nature Genetics, vol. 54, no. 4, pp. 437-449 . https://doi.org/10.1038/s41588-022-01016-z
- Accession number :
- edsair.doi.dedup.....b2f0bbe92c3b9b0da9a12e7d0248be6c