Gopeshwar Narayan
Banaras Hindu University, India
Title: Association of TCF7L2 rs12255372 (G/T) and PPARγ rs1801282 (C/G) gene polymorphisms in Type 2 Diabetes mellitus: A case-control study in Indian population of eastern Uttar Pradesh
Biography
Biography: Gopeshwar Narayan
Abstract
Type 2 diabetes (T2D) has become a major health problem throughout the world. Compared with European populations, Asians develop diabetes at younger age, at lower degrees of obesity, and at much higher incidence rates given the same amount of weight gain. Recent Genome Wide Association studies (GWAS) in populations of European descent have identified several single nucleotide polymorphisms (SNPs) associated with T2D. The variants have been identified to be differentially associated with T2D in different ethnic groups. The reasons for these ethnic variations towards the risk of T2D have to be understood in order to delineate the role of ethnicity in the background of same genetic elements. We have investigated the association of TCF7L2 rs12255372 (G/T) and PPARγ rs1801282 (C/G) gene polymorphism (SNPs) with T2D in Indian population of eastern Uttar Pradesh. Genomic DNA was extracted from peripheral blood of 434 cases and 292 controls for TCF7L2 (rs12255372) and PPARγ (rs1801282) genes. Gene polymorphisms were analyzed by PCR-RFLP. We compared the genotype distributions and allelic frequencies of each variant in the studied population between cases and controls. Odds ratio (OR) at 95% confidence interval (CI) was determined to describe the strength of association by 2x2 and 2x3contingency table. We report that while allele frequency distribution for TCF7L2 polymorphism is statistically significant (OR = 1.33, 95% CI 1.029- 1.738, P=0.03), it is not significantly different for PPARγ (OR-0.98, 95% CI 0.7O59-1.366, P=0.98) between Type2 diabetic patient and the control groups. Our findings suggest that while TCF7L2 gene polymorphism increases susceptibility to T2D, the PPARγ polymorphism does not show significant association with T2D in the Indian population of eastern Uttar Pradesh. To our knowledge this is the first report in this population and provides valuable information for comparison with other ethnic groups as well as in determining disease susceptibility in this population.