Association of Obesity-Related Genetic Variants with Android Fat Patterning and Cardiometabolic Risk in Women.

Area of Science:

• Genetics
• Metabolic Health
• Obesity Research

Background:

• Excess fat distribution, not just overall adiposity, predicts cardiometabolic risk.
• Waist-to-hip ratio (WHR) assesses fat distribution, a trait with known heritability.
• Genetic factors influencing women's fat distribution remain largely unknown.

Purpose of the Study:

• To investigate the association between obesity-related genetic polymorphisms and WHR.
• To examine the link between these polymorphisms, WHR, and cardiometabolic risk in overweight/obese women.

Main Methods:

• A cohort study of 512 overweight/obese women (BMI ≥ 25 kg/m²).
• Measurement of WHR and classification into android (WHR > 0.85) or gynoid (WHR ≤ 0.85) obesity.
• Genotyping of 15 established obesity-related single nucleotide polymorphisms (SNPs) using real-time PCR.

Main Results:

• Three SNPs showed significant associations with WHR.
• PSRC1 rs599839 and SLC30A8 rs1326634 were associated with increased susceptibility to central (android) obesity.
• KIF6 rs20455 showed a protective effect against central obesity.
• Multivariate analysis confirmed SLC30A8 and diabetes independently predicted android obesity risk.

Conclusions:

• The SLC30A8 genetic variant is significantly associated with android fat distribution.
• This variant correlates with higher cardiometabolic risk in overweight and obese women.
• Identifying genetic influences on fat distribution can guide personalized interventions to mitigate health risks.