Shared genetic architectures of educational attainment in East Asian and European populations

Tzu-Ting Chen, Jaeyoung Kim, Max Lam, Yi-Fang Chuang, Yen-Ling Chiu, Shu-Chin Lin, Sang-Hyuk Jung, Beomsu Kim, Soyeon Kim, Chamlee Cho, Injeong Shim, Sanghyeon Park, Yeeun Ahn, Aysu Okbay, Hyemin Jang, Hee Jin Kim, Sang Won Seo, Woong-Yang Park, Tian Ge, Hailiang Huang, Yen-Chen Anne Feng, Yen-Feng Lin (), Woojae Myung (), Chia-Yen Chen () and Hong-Hee Won ()
Additional contact information
Tzu-Ting Chen: National Health Research Institutes
Jaeyoung Kim: Samsung Medical Center
Max Lam: Massachusetts General Hospital
Yi-Fang Chuang: National Yang Ming Chiao Tung University
Yen-Ling Chiu: Yuan Ze University
Shu-Chin Lin: National Health Research Institutes
Sang-Hyuk Jung: University of Pennsylvania
Beomsu Kim: Samsung Medical Center
Soyeon Kim: Massachusetts General Hospital
Chamlee Cho: Samsung Medical Center
Injeong Shim: Samsung Medical Center
Sanghyeon Park: Samsung Medical Center
Yeeun Ahn: Samsung Medical Center
Aysu Okbay: Vrije Universiteit Amsterdam
Hyemin Jang: Sungkyunkwan University School of Medicine
Hee Jin Kim: Sungkyunkwan University School of Medicine
Sang Won Seo: Sungkyunkwan University School of Medicine
Woong-Yang Park: Sungkyunkwan University School of Medicine
Tian Ge: the Broad Institute of MIT and Harvard
Hailiang Huang: Massachusetts General Hospital
Yen-Chen Anne Feng: National Taiwan University
Yen-Feng Lin: National Health Research Institutes
Woojae Myung: Seoul National University Bundang Hospital
Chia-Yen Chen: Biogen
Hong-Hee Won: Samsung Medical Center

Nature Human Behaviour, 2024, vol. 8, issue 3, 562-575

Abstract: Abstract Educational attainment (EduYears), a heritable trait often used as a proxy for cognitive ability, is associated with various health and social outcomes. Previous genome-wide association studies (GWASs) on EduYears have been focused on samples of European (EUR) genetic ancestries. Here we present the first large-scale GWAS of EduYears in people of East Asian (EAS) ancestry (n = 176,400) and conduct a cross-ancestry meta-analysis with EduYears GWAS in people of EUR ancestry (n = 766,345). EduYears showed a high genetic correlation and power-adjusted transferability ratio between EAS and EUR. We also found similar functional enrichment, gene expression enrichment and cross-trait genetic correlations between two populations. Cross-ancestry fine-mapping identified refined credible sets with a higher posterior inclusion probability than single population fine-mapping. Polygenic prediction analysis in four independent EAS and EUR cohorts demonstrated transferability between populations. Our study supports the need for further research on diverse ancestries to increase our understanding of the genetic basis of educational attainment.

Date: 2024
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DOI: 10.1038/s41562-023-01781-9

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