Association of ADIPOQ Non-Synonymous SNPs with Type 2 Diabetes-A Bioinformatics Study

Abstract

Background: To find out association of nsSNPs in adiponectin gene with Type 2 Diabetes.
Methods: In this study Bioinformatic analysis was done by using various bioinformatic tools to identify the nsSNPs present in ADIPOQ gene. The nsSNPs were further checked for their deleterious nature through different computational algorithms.
Results: This study identified 19 nsSNPs, out of which three most deleterious were selected i.e., rs372597136 (P47L), rs79645624 (G90S) and rs62625753 (R112H). Characterization and 3D models of superimposed structures of wild type and mutated protein showed the change occur due to presence of nsSNP.
Conclusion: Identified SNPs should be now checked in Pakistani population for their association with type-II diabetes. This study can provide platform for clinicians to design novel studies to identify association of genetic risk factors for different complex diseases