Paper Title
Association of Single Nucleotide Polymorphism in FABP2GENE with the Risk of T2DM in Indian Population

Abstract
Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects of insulin secretion, insulin action, or both.Obesity and type 2 diabetes mellitus (T2DM) frequently occur together, indicating that these conditions may share common pathological mechanisms. One way of establishing association between a known gene and a phenotype, based on prior scientific evidence is called candidate gene association study.The FABP2 gene is a candidate gene for insulin resistance as its product is involved in fatty acid (FA) absorption.Any defect in FA regulation has been hypothesized to play a role in insulin resistances. The objective of the present investigation was to understand the association of SNPs in FABP2gene with susceptibility of T2DM in Western Indian population.In silico analysis was performed to be acquainted with primer binding position, size of probable PCR product and also products of restriction digestion.Blood samples were collected from 75 subjects who were eligible for the study according to inclusion and exclusion criteria after obtaining their informed consent. Selected subjects were also considered for anthropometric and biochemical analysis. The data obtained from this study was subjected to statistical analysis to reveal significant difference in age, BMI, waist- hip ratio and fasting blood sugar levels between control and diabetic groups. For genotyping, DNA was isolated from blood samples and subjected toPCR-RFLP analysis for specific SNPs. Hardy-Weinberg equilibrium was used with a two-degree of freedom goodness-of-fit test with the help of the Pearson’s chi-squared test for analysis of observed genotypes.It was observed that the difference between the observed and expected values for genotypic distribution was not statistically significant. Hencethe present study shows no significant association between the SNPs that were tested and T2DM and it will be required to study a larger population to further evaluate and reveal the association of these SNPs.