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GWAS Study

Identification of five genetic variants with differential effects on obesity-related traits based on age.

Chung JY, Jung HU, Kim DJ et al.

36276968 PubMed ID
GWAS Study Type
88977 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CJ
Chung JY
JH
Jung HU
KD
Kim DJ
BE
Baek EJ
KH
Kim HK
KJ
Kang JO
LJ
Lim JE
OB
Oh B
Chapter II

Abstract

Summary of the research findings

Obesity is a major public health concern, and its prevalence generally increases with age. As the number of elderly people is increasing in the aging population, the age-dependent increase in obesity has raised interest in the underlying mechanism. To understand the genetic basis of age-related increase in obesity, we identified genetic variants showing age-dependent differential effects on obesity. We conducted stratified analyses between young and old groups using genome-wide association studies of 355,335 United Kingom Biobank participants for five obesity-related phenotypes, including body mass index, body fat percentage, waist-hip ratio, waist circumference, and hip circumference. Using t-statistic, we identified five significant lead single nucleotide polymorphisms: rs2258461 with body mass index, rs9861311 and rs429358 with body fat percentage, rs2870099 with waist-hip ratio, and rs145500243 with waist circumference. Among these single nucleotide polymorphisms, rs429358, located in APOE gene was associated with diverse age-related diseases, such as Alzheimer's disease, coronary artery disease, age-related degenerative macular diseases, and cognitive decline. The C allele of rs429358 gradually decreases body fat percentage as one grows older in the range of 40-69 years. In conclusion, we identified five genetic variants with differential effects on obesity-related phenotypes based on age using a stratified analysis between young and old groups, which may help to elucidate the mechanisms by which age influences the development of obesity.

88,977 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

88977
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

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