Abstract

The prevalence of type 2 diabetes mellitus (DM) is increasing and developing drastically all over the world. DM becomes a risk factor for other non-communicable diseases such as cardiovascular disease, kidney failure and others. One method has been developed to prevent its clinical course is by using biomarkers to detect the disease at early stage. Those markers are expected as predictor for DM so that its incidents can be lowered. This inevstigation involved cohort population in Bogor, West Java. In this study, single nucleotide polymorphisms (SNPs) in DM-associated genes, that is, ADIPOQ rs 6773957, KLF14 rs 972283, UCP2 rs 660339, DUSP9/MKP4 rs 5945326, SLC30A8 rs 13266634, RETN rs 3745367, IGF2BP2 rs 16860234 and KCNQ1 rs 2237892. Here, multinomial logistic regression analysis show strong tendency for the development of DM with regards to mutant alleles compared to normal ones, that is, AA genotype at rs 5945326 in DUSP9/MKP4 gene, GG genotype at rs 972283 in KLF14, and AA genotype at rs2237892 in RETN gene.