Literature DB >> 31517619

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

Camile Wunsch1, Thais Fernanda Dornelles1, Pricila Girardi1, Marcelo Emilio Arndt2, Julia Pasqualini Genro1,3, Veronica Contini1.   

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.

Entities:  

Keywords:  CAD; T2DM; association study; coronary artery disease; risk score

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Year:  2019        PMID: 31517619     DOI: 10.2478/enr-2019-0001

Source DB:  PubMed          Journal:  Endocr Regul        ISSN: 1210-0668


  1 in total

1.  Associations of transcription factor 7-Like 2 (TCF7L2) gene polymorphism in patients of type 2 diabetes mellitus from Khyber Pakhtunkhwa population of Pakistan.

Authors:  Taha Hameed; Zahid Khan; Muhammad Imran; Saif Ali; Abdullah Abdo Albegali; Muhammad Ikram Ullah; Hasan Ejaz
Journal:  Afr Health Sci       Date:  2021-03       Impact factor: 0.927

  1 in total

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