Dataset Information

KCNQ1 common genetic variant and type 2 diabetes mellitus risk.

ABSTRACT: Background: Type 2 diabetes mellitus (T2DM) is a multifactorial trait that both environmental and genetic factors contribute to its pathogenesis. The most common single nucleotide polymorphism (SNP) of the potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene, rs2237892, is highly associated with the risk of T2DM. The aim of the present study was to examine any association between KCNQ1 gene rs2237892 variant and risk of T2DM in a group of Iranian patients.

Methods: Genotyping was carried out in 100 type 2 diabetic patients and 100 non-diabetic subjects using the Sanger sequencing method.

Results: The CC genotype caused more than 30% reduction in the risk of T2DM in compared with CT. Nonetheless, this association was not statistically significant and this variant had no protective effect for T2DM. A significant difference was not found in genotypes (CC, CT, and TT) and alleles (C and T) frequency of KCNQ1 rs2237892 SNP between T2DM and control groups (P?=?0.475 and P?=?0.470, respectively).

Conclusions: Our investigations did not show enough evidence for the presence of an association between KCNQ1 gene rs2237892 polymorphism and risk of T2DM among a group of Iranian patients.

SUBMITTER: Erfani T

PROVIDER: S-EPMC7271092 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

<i>KCNQ1</i> common genetic variant and type 2 diabetes mellitus risk.

Erfani Taraneh T Sarhangi Negar N Afshari Mahdi M Abbasi Davood D Meybodi Hamid Reza Aghaei HRA Hasanzad Mandana M

Journal of diabetes and metabolic disorders 20191208 1

<h4>Background</h4>Type 2 diabetes mellitus (T2DM) is a multifactorial trait that both environmental and genetic factors contribute to its pathogenesis. The most common single nucleotide polymorphism (SNP) of the <i>potassium voltage-gated channel subfamily Q member 1 (KCNQ1)</i> gene, rs2237892, is highly associated with the risk of T2DM. The aim of the present study was to examine any association between <i>KCNQ1</i> gene rs2237892 variant and risk of T2DM in a group of Iranian patients.<h4>Me ...[more]

PMID: 32550155

Similar Datasets

Project description:PurposeNew-onset diabetes after transplantation (NODAT) is a major complication after kidney transplantation. The risk factors for NODAT include the use of calcineurin inhibitors as part of the immunosuppressive regimen, among which tacrolimus has the most pronounced diabetogenic effect. Both NODAT and type 2 diabetes mellitus (T2DM) share several risk factors. Recent studies have identified a number of common genetic variants associated with increased risk of T2DM. Here we report the results of our study on the potential effect of single nucleotide polymorphisms (SNPs) previously associated with T2DM on the risk of NODAT in kidney transplant patients medicated with tacrolimus.MethodsSeven SNPs in six genes known to increase the risk of T2DM in Caucasians were genotyped by means of TaqMan assays in 235 kidney transplant patients medicated with tacrolimus: rs4402960 and rs1470579 in IGF2BP2; rs1111875 in HHEX; rs10811661 upstream of CDKN2A/B; rs13266634 in SLC30A8; rs1801282 in PPARG; rs5215 in KCNJ11. The TCF7L2 rs7903146 SNP was also included in the multivariate analysis.ResultsNone of the analyzed SNPs was significantly associated with the risk of NODAT. However, the IGF2BP2 rs4402960 T allele was present significantly more frequently among patients diagnosed with NODAT more than 2 weeks after transplantation (p?=?0.048). Mean (± standard deviation) number of the analyzed alleles tended to be lower in patients without NODAT (6.19?±?1.71) than in NODAT patients (6.58?±?1.1.95; p?=?0.09) and significantly lower compared to late-onset NODAT patients (7.03?±?1.88; p?=?0.018). Multivariate analysis confirmed the significance of 'diabetogenic' allele number in late-onset NODAT development [odds ratio (OR) 1.37, 95 % confidence interval (CI) 1.05-1.78; p?=?0.017]. Additionally, individuals carrying >7 of the analyzed 'diabetogenic' alleles were at a significantly higher risk of NODAT (OR 2.17, 95 % CI 1.18-3.99; p?=?0.015).ConclusionsComplex analysis of genotypes increasing the risk of diabetes may lead to the identification of NODAT susceptibility predictors.

Dataset Information

KCNQ1 common genetic variant and type 2 diabetes mellitus risk.

Publications

<i>KCNQ1</i> common genetic variant and type 2 diabetes mellitus risk.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure