Journal article
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
Nature genetics, Vol.50(8), pp.1112-1121
08/01/2018
DOI: 10.1038/s41588-018-0147-3
PMCID: PMC6393768
PMID: 30038396
Abstract
Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance in educational attainment and 7–10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.
Gene discovery and polygenic predictions from a genome-wide association study of educational attainment in 1.1 million individuals.
Details
- Title: Subtitle
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
- Creators
- James J. Lee - University of MinnesotaRobbee Wedow - University of Colorado BoulderAysu Okbay - Vrije Universiteit AmsterdamEdward Kong - Harvard UniversityOmeed Maghzian - Harvard UniversityMeghan Zacher - Harvard UniversityTuan Anh Nguyen-Viet - University of Southern CaliforniaPeter Bowers - Harvard UniversityJulia Sidorenko - University of TartuRichard Karlsson Linnér - Erasmus University RotterdamMark Alan Fontana - University of Southern CaliforniaTushar Kundu - University of Southern CaliforniaChanwook Lee - Harvard UniversityHui Li - Harvard UniversityRuoxi Li - University of Southern CaliforniaRebecca Royer - University of Southern CaliforniaPascal N. Timshel - University of CopenhagenRaymond K. Walters - Broad InstituteEmily A. Willoughby - University of MinnesotaLoïc Yengo - The University of QueenslandMaris Alver - University of TartuYanchun Bao - Institute for Social and Economic ResearchDavid W. Clark - University of EdinburghFelix R. Day - MRC Epidemiology UnitNicholas A. Furlotte - 23andMe (United States)Peter K. Joshi - Institute of Social and Preventive MedicineKathryn E. Kemper - The University of QueenslandAaron Kleinman - 23andMe (United States)Claudia Langenberg - University of CambridgeReedik Mägi - University of TartuJoey W. Trampush - University of Southern CaliforniaShefali Setia Verma - Geisinger Health SystemYang Wu - The University of QueenslandMax Lam - Genome Institute of SingaporeJing Hua Zhao - MRC Epidemiology UnitZhili Zheng - The University of QueenslandJason D. Boardman - University of Colorado BoulderHarry Campbell - University of EdinburghJeremy Freese - Stanford UniversityKathleen Mullan Harris - University of North Carolina at Chapel HillCaroline Hayward - Institute of Genetics and CancerPamela Herd - Institute for Social and Economic ResearchMeena Kumari - Institute for Social and Economic ResearchTodd Lencz - Hofstra UniversityJian’an Luan - University of CambridgeAnil K. Malhotra - Hofstra UniversityAndres Metspalu - University of TartuLili Milani - University of TartuKen K Ong - MRC Epidemiology UnitJohn R. B. Perry - MRC Epidemiology UnitDavid J. Porteous - University of EdinburghMarylyn D. Ritchie - Geisinger Health SystemMelissa C. Smart - University of EdinburghBlair H. Smith - University of DundeeJoyce Y. Tung - 23andMe (United States)Nicholas J. Wareham - MRC Epidemiology UnitJames F. Wilson - Institute of Genetics and CancerJonathan P. Beauchamp - University of TorontoDalton C. Conley - Princeton UniversityTõnu Esko - University of TartuSteven F. Lehrer - Queen's UniversityPatrik K. E. Magnusson - Karolinska InstitutetSven Oskarsson - Uppsala UniversityTune H. Pers - Novo Nordisk FoundationMatthew R. Robinson - The University of QueenslandKevin Thom - New York UniversityChelsea Watson - University of Southern CaliforniaChristopher F. Chabris - Autism & Developmental Medicine InstituteMichelle N. Meyer - Geisinger Health SystemDavid I. Laibson - Harvard UniversityJian Yang - The University of QueenslandMagnus Johannesson - Stockholm School of EconomicsPhilipp D. Koellinger - Vrije Universiteit AmsterdamPatrick Turley - Broad Institute23andMe Research TeamPeter M. Visscher - The University of QueenslandDaniel J. Benjamin - University of Southern CaliforniaDavid Cesarini - New York University
- Resource Type
- Journal article
- Publication Details
- Nature genetics, Vol.50(8), pp.1112-1121
- DOI
- 10.1038/s41588-018-0147-3
- PMID
- 30038396
- PMCID
- PMC6393768
- NLM abbreviation
- Nat Genet
- ISSN
- 1061-4036
- eISSN
- 1546-1718
- Publisher
- Nature Publishing Group US
- Number of pages
- 10
- Language
- English
- Date published
- 08/01/2018
- Academic Unit
- Economics
- Record Identifier
- 9984936840202771
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