Publication type
Journal Article
Authors
- James J. Lee
- Robbee Wedow
- Aysu Okbay
- Edward Kong
- Omeed Maghzian
- Meghan Zacher
- Tuan Anh Nguyen-Viet
- Peter Bowers
- Julia Sidorenko
- Richard Karlsson Linnér
- Mark Alan Fontana
- Tushar Kundu
- Chanwook Lee
- Hui Li
- Ruoxi Li
- Rebecca Royer
- Pascal N. Timshel
- Raymond K. Walters
- Emily A. Willoughby
- Loïc Yengo
- Maris Alver
- Yanchun Bao
- David W. Clark
- Felix R. Day
- Nicholas A. Furlotte
- Peter K. Joshi
- Kathryn E. Kemper
- Aaron Kleinman
- Claudia Langenberg
- Reedik Mägi
- Joey W. Trampush
- Shefali Setia Verma
- Yang Wu
- Max Lam
- Jing Hua Zhao
- Zhili Zheng
- Jason D. Boardman
- Harry Campbell
- Jeremy Freese
- Kathleen Mullan Harris
- Caroline Hayward
- Pamela Herd
- Meena Kumari
- Todd Lencz
- Jian’an Luan
- Anil K. Malhotra
- Andres Metspalu
- Lili Milani
- Ken K. Ong
- John R.B. Perry
- David J. Porteous
- Marylyn D. Ritchie
- Melissa Smart
- Blair H. Smith
- Joyce Y. Tung
- Nicholas J. Wareham
- James F. Wilson
- Jonathan P. Beauchamp
- Dalton C. Conley
- Tõnu Esko
- Steven F. Lehrer
- Patrik K. E. Magnusson
- Sven Oskarsson
- Tune H. Pers
- Matthew R. Robinson
- Kevin Thom
- Chelsea Watson
- Christopher F. Chabris
- Michelle N. Meyer
- David I. Laibson
- Jian Yang
- Magnus Johannesson
- Philipp D. Koellinger
- Patrick Turley
- Peter M. Visscher
- Daniel J. Benjamin
- David Cesarini
Publication date
July 15, 2018
Summary:
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.
Published in
Nature Genetics
Volume and page numbers
Volume: 50 , p.1 -1
DOI
https://doi.org/10.1038/s41588-018-0147-3
ISSN
15461718
Subjects
#525222