Search

Objective:To investigate the association of insulin receptor substrate-2 (IRS-2) G1057D polymorphism with type 2 diabetes and obesity in Asian Indians.Methods:The study comprised of 1193 normal glucose tolerant (NGT) subjects and 1018 subjects with type 2 diabetes, aged 20 years with an average body mass index of 23.7±4.6 and 25.3±4.2 kg/m2, respectively. The subjects were unrelated and randomly selected from the Chennai Urban Rural Epidemiology Study (CURES), a population-based study in Chennai in southern India. The G1057D polymorphism of the IRS-2 gene was genotyped using PCR-RFLP assay.Results:The genotype frequency of the IRS-2 G1057D polymorphism was significantly different between the NGT and type 2 diabetic groups (P=0.0007) in the total study subjects and among the obese subjects (P=0.00007). Logistic regression analysis showed that the DD genotype showed an increased susceptibility to diabetes with an odds ratio (adjusted for age and sex) of 2.19 (95% CI: 1.34–3.57, P=0.002) when compared to the GG+GD genotype, among the obese subjects, but not in non obese subjects. In order to explore possible interaction with obesity, logistic regression analysis was performed and the coefficient corresponding to the interaction parameter (genotype × obesity) was significant (P=0.0001).Conclusion:In Asian Indians, the DD genotype increases susceptibility to type 2 diabetes by interacting with obesity.International Journal of Obesity (2007) 31, 97–102. doi:10.1038/sj.ijo.0803356; published online 25 April 2006 [ABSTRACT FROM AUTHOR]

Aims The objective of the present investigation was to examine the relationship of three polymorphisms, Thr394Thr, Gly482Ser and +A2962G, of the peroxisome proliferator activated receptor-γ co-activator-1 alpha (PGC-1α) gene with Type 2 diabetes in Asian Indians. Methods The study group comprised 515 Type 2 diabetic and 882 normal glucose tolerant subjects chosen from the Chennai Urban Rural Epidemiology Study, an ongoing population-based study in southern India. The three polymorphisms were genotyped using polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP). Haplotype frequencies were estimated using an expectation–maximization (EM) algorithm. Linkage disequilibrium was estimated from the estimates of haplotypic frequencies. Results The three polymorphisms studied were not in linkage disequilibrium. With respect to the Thr394Thr polymorphism, 20% of the Type 2 diabetic patients (103/515) had the GA genotype compared with 12% of the normal glucose tolerance (NGT) subjects (108/882) ( P = 0.0004). The frequency of the A allele was also higher in Type 2 diabetic subjects (0.11) compared with NGT subjects (0.07) ( P = 0.002). Regression analysis revealed the odds ratio for Type 2 diabetes for the susceptible genotype (XA) to be 1.683 (95% confidence intervals: 1.264–2.241, P = 0.0004). Age adjusted glycated haemoglobin ( P = 0.003), serum cholesterol ( P = 0.001) and low-density lipoprotein (LDL) cholesterol ( P = 0.001) levels and systolic blood pressure ( P = 0.001) were higher in the NGT subjects with the XA genotype compared with GG genotype. There were no differences in genotype or allelic distribution between the Type 2 diabetic and NGT subjects with respect to the Gly482Ser and +A2962G polymorphisms. Conclusions The A allele of Thr394Thr (G → A) polymorphism of the PGC-1 gene is associated with Type 2 diabetes in Asian Indian subjects and the XA genotype confers 1.6 times higher risk for Type 2 diabetes compared with the GG genotype in this population. [ABSTRACT FROM AUTHOR]