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Lack of association between TCF7L2 gene variants and type 2 diabetes mellitus in a Brazilian sample of patients with the risk for cardiovascular disease Cover

Lack of association between TCF7L2 gene variants and type 2 diabetes mellitus in a Brazilian sample of patients with the risk for cardiovascular disease

Open Access
|Feb 2019

Abstract

Objective. Genetic variants in the transcription factor 7-like 2 (TCF7L2) gene have been described as the most noteworthy ones regarding the type 2 diabetes mellitus (T2DM) liability. This work is aimed to evaluate the association between rs12255372 and rs7903146 polymorphisms and T2DM in patients with cardiovascular disease (CAD) risk.

Methods. A sample of six hundred and forty-seven patients that underwent the coronary angiography in a Cardiac Catheterization Lab was evaluated. The patients were investigated for the presence of T2DM and coronary stenosis. The TCF7L2 polymorphisms were genotyped by real-time PCR and the haplotype analysis was performed with the MLOCUS software. All genetic tests were carried out by considering the haplotype combinations in patients divided into three groups: 0 – carrying none disease risk allele, 1 – carrying one or two risk alleles and 2 – carrying three or four risk alleles.

Results. No significant associations between TCF7L2 risk haplotypes and the presence of T2DM or CAD were detected.

Conclusions. Our results indicate that the TCF7L2 rs12255372 and rs7903146 polymorphisms do not influence T2DM in Brazilian patients with the high risk for CAD. Therefore, we assume that these variants may only be relevant for a specific subgroup of T2DM patients or some particular human population.

DOI: https://doi.org/10.2478/enr-2019-0001 | Journal eISSN: 1336-0329 | Journal ISSN: 1210-0668
Language: English
Page range: 1 - 7
Published on: Feb 23, 2019
Published by: Slovak Academy of Sciences, Mathematical Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Camile Wunsch, Thais Fernanda Dornelles, Pricila Girardi, Marcelo Emilio Arndt, Julia Pasqualini Genro, Veronica Contini, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.