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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005349/
https://www.ncbi.nlm.nih.gov/pubmed/35361970
http://dx.doi.org/10.1038/s41588-022-01016-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005349/
https://www.ncbi.nlm.nih.gov/pubmed/35361970
http://dx.doi.org/10.1038/s41588-022-01016-z

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