Related Experiment Video
Updated: Jun 4, 2026
14:56
Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Genetic background of obesity: a case-control study
Konstantinos Kalesis1, Paris Roidοs2, Vaios Nikolopoulos3,4
1Department of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece. kalesisk@gmail.com.
Hormones (Athens, Greece)
|June 2, 2026
Summary
Genetic variants in TCF7L2 and FTO are linked to type 2 diabetes mellitus (T2DM) in obese individuals. PPARG rs1801282 showed an unexpected association, warranting further investigation. These findings highlight genetic factors in obesity-associated T2DM.
Area of Science:
- Genetics
- Metabolic Disorders
- Public Health
Background:
- Obesity and type 2 diabetes mellitus (T2DM) are growing global health concerns.
- Genetic polymorphisms may influence T2DM risk in individuals with obesity.
- Understanding these genetic links can improve disease characterization and risk stratification.
Purpose of the Study:
- Investigate the association between specific genetic polymorphisms (TCF7L2 rs7903146, FTO rs9939609, PPARG rs1801282) and T2DM risk in Greek adults with obesity.
- Explore the genetic architecture connecting obesity and T2DM.
Main Methods:
- Case-control study of 257 Greek adults (obese, with/without T2DM).
- Analyzed TCF7L2 rs7903146, FTO rs9939609, and PPARG rs1801282 polymorphisms.
- Used logistic regression for T2DM risk analysis and exact tests for Hardy-Weinberg equilibrium.
Main Results:
- Significant genotype distribution differences between cases and controls for all three loci.
- TCF7L2 rs7903146 and FTO rs9939609 associated with increased T2DM odds.
- PPARG rs1801282 showed an association contrary to previous literature.
Conclusions:
- TCF7L2 and FTO variants linked to T2DM in obese individuals.
- PPARG rs1801282 association direction differs from prior studies.
- Findings require cautious interpretation due to unadjusted models and HWE deviations; larger studies are needed.
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