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Association between the FTO gene variant rs9939609 and obesity risk: A case-control study

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Abstract

Background Obesity is a major global health problem, driven by complex interactions between genetic, environmental, and lifestyle. The Fat Mass and Obesity-Associated ( FTO ) gene, located on chromosome 16q12.2, has been identified through genome-wide association studies (GWAS) as a key genetic determinant of obesity risk. This study aimed to investigate the association between the FTO rs9939609 variant and obesity, defined by body mass index (BMI) and waist circumference, in the Indonesian population. Methods A case–control study was conducted among 294 adults aged 19–59 years, consisting of 93 non-obese controls (BMI 18.5–24.9 kg/m2) and 201 obese cases (BMI ≥25.0kg/m2). Genotyping for FTO rs9939609 was performed using the TaqMan Allelic Discrimination Assay. Anthropometric measurements included body weight, height, and waist circumference. Food intake was evaluated using a semi-quantitative food frequency questionnaire (SQ-FFQ) and three 24-hour food recalls, while physical activity was assessed using the International Physical Activity Questionnaire (IPAQ). Results Following multiple regression analyses after adjustment for the age, gender, activity, and food intake, AA genotype of the FTO polymorphism was strongly associated with obesity as per the BMI in both co-dominant model (aOR: 3.63, 95% CI: 1.36–9.67, p = 0.01) and recessive model (aOR: 3.75, 95% CI: 1.47–9.62, p < 0.01). Similarly, as assessed by waist circumference, the AA genotype was associated with increased risk of obesity in both the co-dominant (aOR: 3.05, 95% CI: 1.21–7.69, p = 0.02) and recessive (aOR: 3.03, 95% CI: 1.25–7.34, p = 0.01) models. Conclusion The FTO rs9939609 AA genotype is significantly associated with increased risk of both general and central obesity in the Indonesian population. Larger, longitudinal studies incorporating additional genetic, metabolic, and lifestyle factors are warranted to confirm these findings and further explore their potential relevance for obesity risk assessment.

Original languageEnglish
Article number100306
JournalEndocrine and Metabolic Science
Volume21
DOIs
Publication statusPublished - Jun 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Body mass index
  • Body weight
  • Gene
  • Metabolism
  • Obesity

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