BIOINFORMATICS ANALYSIS OF GENES ASSOCITED WITH TYPE 2 DIABETES MELLITUS

Abstract

Type 2 Diabetes mellitus is a multi-factorial disease caused due to gene defect as well as environmental factor. GWAS have played a primary role in demonstrating that genetic variation in a number of loci, SNPs, affects the risk of T2DM. there are our objective is to find out Disease pathway map by taking all genes of T2DM which are 35 in numbers and but in all there are 10 mostly involve in T2Dm from all over world population and it is find out by GWAS method then after we analyzed the KEGG pathway by analyzing T2DM pathway, Insulin signaling pathway, and WNT signalling  pathway to find out common protein  then after by bioinformatics analysis combined and expend these pathways toward  common  protein for understanding the Diseases mechanism. We do Protein-protein interaction and find out their complete target hub protein and target prediction for network hub. so for all these analysis I collect the total genes involve in  T2DM and  take  those gene which are common for all  population and their SNPs ,chromosome location in these all genes and by  using string database I tried to find out the  target protein hub which are found  in this disease so there I have taken 5 most frequent genes and doing PPI in human so there are all have their  own target protein hub-KCNJ11 have target protein hub PPKACA & TCF7L2 have complete target protein hub TLEI & PPARG have a target protein hub EP300 & CDKL1 have compete target protein hub UCB & HHEX complete target protein SOX2.