Mitochondrial ND1 gene mutation analysis in type II diabetes of Karaikudi population

Abstract

Mitochondrial single nucleotide polymorphisms (SNPs) are significantly correlated with the development of diabetes mellitus. However, these polymorphisms are emerging to be considerably diverse among different population and regions. Sivaganga district is recently being given importance for genetic studies due to its rigid family structure. Hence, the present study is planned to investigate the correlation between mitochondrial SNP of ND1 gene with type II diabetes (T2D) of Karaikudi population of Sivaganga district. For this study, 206 samples including 105 T2D and 101 healthy volunteers were collected and screened for ND1 gene mutation. Genotyping for the ND1 gene was characterized by polymerase chain reaction, Restriction fragment length polymorphism (RFLP) followed by sequencing. In addition, clinical and biochemical variables were analyzed. RFLP and sequencing results showed G[A transition at 3316 position of ND1 gene in both T2D (6.67 %) and in control subjects (1.9 %). Since the frequency of the mutation was found high in T2D patients, we screened for the mutation in their family members and identified its maternal mode of inheritance. The result warrants for the detailed study to identify population based mitochondrial mutation association with disease development.

Mitochondrial complex I and V gene polymorphisms in type II diabetes mellitus among high risk Mizo-Mongoloid population, Northeast India

“…The main objective of the study was to find out the role of demographic factors in the onset of diabetes and to detect their associated mutations in mitochondrial genes in a lesser known Mizo population. The prevalence of T2D rise with family history of diabetes and clinical representation depends mostly on the severity of insulinopenia, lack of physical activity, obesity, demographic factor and involvement of genetic factors [ 14 ]. From this study, the risk for T2DM was found to be higher in patients with high smoked meat consumption followed by excess smoking and alcoholism.…”

Fermented pork fat (Sa-um) and lifestyle risk factors as potential indicators for type 2 diabetes among the Mizo population, Northeast India

“…A logistic regression analysis was carried out to calculate the influence of lifestyle and dietary factors for T2DM. Factors that were deemed of potential importance in the univariate analysis ( p < 0.05) were further analyzed in the multivariate analysis using Cox regression [ 22 ]. The independent effect of risk factors was investigated in a multivariate model (introducing all variables and terms of interactions) retaining the statistically significant factors which show a confounding effect only.…”