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

Ju Yeon Chung, Hae Un Jung, Dong Jun Kim, Eun Ju Baek, Han Kyul Kim, Ji One Kang, Ji Eun Lim, Bermseok Oh

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number970657
JournalFrontiers in Genetics
Volume13
DOIs
Publication statusPublished - 7 Oct 2022

Bibliographical note

Publisher Copyright:
Copyright © 2022 Chung, Jung, Kim, Baek, Kim, Kang, Lim and Oh.

Keywords

  • age
  • genetic variant
  • genome-wide association study
  • obesity-related trait
  • stratified analysis

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