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GWAS Study

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

Chen TT, Kim J, Lam M et al.

38182883 PubMed ID
GWAS Study Type
165232 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CT
Chen TT
KJ
Kim J
LM
Lam M
CY
Chuang YF
CY
Chiu YL
LS
Lin SC
JS
Jung SH
KB
Kim B
KS
Kim S
CC
Cho C
SI
Shim I
PS
Park S
AY
Ahn Y
OA
Okbay A
JH
Jang H
KH
Kim HJ
SS
Seo SW
PW
Park WY
GT
Ge T
HH
Huang H
FY
Feng YA
LY
Lin YF
MW
Myung W
CC
Chen CY
WH
Won HH
Chapter II

Abstract

Summary of the research findings

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.

165,232 East Asian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

165232
Total Participants
GWAS
Study Type
No
Replicated
East Asian, European
Ancestry
Taiwan, Republic of Korea, U.S., U.K., Estonia
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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