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GWAS Study

A cross-population compendium of gene-environment interactions.

Namba S, Sonehara K, Koyanagi YN et al.

41606330 PubMed ID
GWAS Study Type
283936 Participants
218 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

NS
Namba S
SK
Sonehara K
KY
Koyanagi YN
KT
Kikuchi T
OT
Ojima T
ER
Edahiro R
SG
Sato G
YT
Yamaji T
TY
Tomofuji Y
UH
Ueda H
YK
Yamamoto K
OY
Ogawa Y
SK
Suzuki K
KA
Kanai A
HS
Higashiue S
KS
Kobayashi S
YH
Yamaguchi H
NY
Nagata Y
OY
Okazaki Y
MN
Matsumoto N
MK
Motomura K
KH
Koga H
HA
Hishida A
IH
Ikezaki H
HM
Hara M
NM
Nagayoshi M
OI
Oze I
NS
Nakano S
OY
Oda Y
SY
Suzuki Y
IM
Iwasaki M
SN
Sawada N
MK
Matsuo K
MT
Morisaki T
YT
Yamauchi T
KT
Kadowaki T
MK
Matsuda K
OY
Okada Y
Chapter II

Abstract

Summary of the research findings

Environmental differences in genetic effect sizes, namely, gene-environment interactions, may uncover the genetic encoding of phenotypic plasticity1-3. We provide a cross-population atlas of gene-environment interactions comprising 440,210 individuals from European and Japanese populations, with replication in 539,794 individuals from diverse populations. By decomposing the contributions from age, sex and lifestyles, we delineate the aetiology of these gene-environment interactions, including a reverse-causality from a disease-related dietary change. Genome-wide analyses uncovered missing heritability and trait-trait relationships connected by the synergistic effects of genome and environments, which systematically affected polygenic prediction accuracy and cross-population portability. Single-cell projection revealed aging shift of pathways and cell types responsible for genetic regulation. Omics-level gene-environment analyses identified multiple sex-discordant genetic effects in lipid metabolism, informing clinical trial failures for genetically supported drug development. Our comprehensive gene-environment study decodes the dynamics of genetic associations, offering insights into complex trait biology, personalized medicine and drug development.

249,376 British ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

283936
Total Participants
GWAS
Study Type
Yes
Replicated
34,560 British ancestry individuals
Replication Participants
European
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

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