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GWAS Study

Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records.

Venkatesh SS, Ganjgahi H, Palmer DS et al.

38987242 PubMed ID
GWAS Study Type
210279 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

VS
Venkatesh SS
GH
Ganjgahi H
PD
Palmer DS
CK
Coley K
LG
Linchangco GV
HQ
Hui Q
WP
Wilson P
HY
Ho YL
CK
Cho K
AK
Arumäe K
WL
Wittemans LBL
NC
Nellåker C
VU
Vainik U
SY
Sun YV
HC
Holmes C
LC
Lindgren CM
NG
Nicholson G
Chapter II

Abstract

Summary of the research findings

Obesity is a heritable disease, characterised by excess adiposity that is measured by body mass index (BMI). While over 1,000 genetic loci are associated with BMI, less is known about the genetic contribution to adiposity trajectories over adulthood. We derive adiposity-change phenotypes from 24.5 million primary-care health records in over 740,000 individuals in the UK Biobank, Million Veteran Program USA, and Estonian Biobank, to discover and validate the genetic architecture of adiposity trajectories. Using multiple BMI measurements over time increases power to identify genetic factors affecting baseline BMI by 14%. In the largest reported genome-wide study of adiposity-change in adulthood, we identify novel associations with BMI-change at six independent loci, including rs429358 (APOE missense variant). The SNP-based heritability of BMI-change (1.98%) is 9-fold lower than that of BMI. The modest genetic correlation between BMI-change and BMI (45.2%) indicates that genetic studies of longitudinal trajectories could uncover novel biology of quantitative traits in adulthood.

87,908 White British ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

210279
Total Participants
GWAS
Study Type
Yes
Replicated
122,371 European ancestry individuals
Replication Participants
European
Ancestry
U.K., U.S., Estonia
Recruitment Country
Chapter IV

AI-Generated Summary

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