Mapping the landscape of childhood obesity: genomic insights and socioeconomic status in Indian school-going children

Obesity (Silver Spring). 2025 Apr;33(4):754-765. doi: 10.1002/oby.24248. Epub 2025 Feb 25.

Abstract

Objective: Childhood obesity (OB) is influenced by complex gene-environmental interaction. While genetics of adult OB have been extensively studied, polygenic childhood OB in non-European populations is still underexplored. Furthermore, in a developing nation such as India, how the environmental component strongly modulated by the socioeconomic status (SES) shapes the genetic susceptibility is crucial to understand.

Methods: A two-staged genome-wide association study (GWAS; N = 5673) and an independent exome-wide association study (ExWAS; N = 4963) were performed using a generalized linear model assuming additive effect to identify the common and rare genetic variants respectively associated with childhood OB. Rare-variant burden testing was also performed. We used the gene expression profiles and regulatory data from public databases to explain the novel associations. The implications of SES as a potential modifier of genetic susceptibility were evaluated.

Results: GWAS identified novel associations in TCF7L2, IMMP2L, IPMK, CDC5L, SNTG1, and MX1, whereas ExWAS uncovered CNTN4, COQ4, TNFRSF10D, FLG-AS1, and BMP3. Both GWAS and ExWAS validated known associations in FTO and MC4R. Furthermore, rare-variant testing highlighted the role of 101 genes. We also observed that SES can modulate the inherent susceptibility to OB.

Conclusions: Our study identified genetic variants associated with childhood OB and highlighted the gene-environmental interaction in childhood OB.

MeSH terms

  • Adolescent
  • Child
  • Female
  • Gene-Environment Interaction
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Humans
  • India / epidemiology
  • Male
  • Pediatric Obesity* / epidemiology
  • Pediatric Obesity* / genetics
  • Polymorphism, Single Nucleotide
  • Social Class*