Association of ADIPOQ Gene Polymorphisms with Type 2 Diabetes and Obesity Risk in the Kazakh Population: A Case-Control and Population-Based Study.
Nurgul SikhayevaAidos K BolatovElena V ZholdybayevaIlyas AkhmetollayevAisha IskakovaPublished in: Genes (2024)
Type 2 diabetes mellitus (T2DM) is a socially significant disease with increasing prevalence worldwide. It is characterized by heterogeneous metabolic disorders and is associated with various risk factors, including BMI, abnormal lipid levels, hypertension, smoking, dietary preferences, physical inactivity, sedentary lifestyle, family history of diabetes, prediabetes or gestational diabetes, inflammation, intrauterine environment, age, sex, ethnicity, and socioeconomic status. Assessing the genetic risk of developing T2DM in specific populations remains relevant. The ADIPOQ gene, encoding adiponectin, is directly related to the risk of developing T2DM, obesity, and cardiovascular diseases. Our study demonstrated significant associations of ADIPOQ gene polymorphisms with the risk of developing T2DM and obesity, as well as with fasting glucose levels and BMI, in the Kazakh population. Specifically, rs266729 was significantly associated with T2DM and obesity in the Kazakh population, while other studied polymorphisms (rs1501299, rs2241766, and rs17846866) did not show a significant association. These findings suggest that ADIPOQ gene polymorphisms may influence T2DM risk factors and highlight the importance of genetic factors in T2DM development. However, further research in larger cohorts is needed to confirm these associations.
Keyphrases
- glycemic control
- insulin resistance
- metabolic syndrome
- weight loss
- risk factors
- type diabetes
- weight gain
- blood glucose
- cardiovascular disease
- high fat diet induced
- physical activity
- body mass index
- genome wide
- adipose tissue
- blood pressure
- mental health
- oxidative stress
- skeletal muscle
- copy number
- pregnant women
- case control
- smoking cessation
- dna methylation
- cardiovascular risk factors
- coronary artery disease
- decision making
- cardiovascular events