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The TCF7L2 rs7903146 (C/T) polymorphism is associated with risk to type 2 diabetes mellitus in Southern-Brazil

Overview of attention for article published in Archives of Endocrinology and Metabolism, December 2014
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Title
The TCF7L2 rs7903146 (C/T) polymorphism is associated with risk to type 2 diabetes mellitus in Southern-Brazil
Published in
Archives of Endocrinology and Metabolism, December 2014
DOI 10.1590/0004-2730000003510
Pubmed ID
Authors

Taís S. Assmann, Guilherme C. K. Duarte, Jakeline Rheinheimer, Lavínia A. Cruz, Luís H. Canani, Daisy Crispim

Abstract

Objective The aim of this study was to investigate the association between the rs7903146 (C/T) polymorphism in the TCF7L2 gene and type 2 diabetes mellitus, in a Southern-Brazilian population. Materials and methods The TCF7L2 rs7903146 polymorphism was genotyped in 953 type 2 diabetic patients and 535 non-diabetic subjects. All subjects were white. The polymorphism was genotyped by Real-Time PCR using TaqMan MGB probes (Life Technologies). Odds ratios (OR) and 95% confidence intervals (CI) were calculated for additive, recessive and dominant inheritance models. Results Genotype and allele frequencies of the rs7903146 polymorphism differed significantly between type 2 diabetic patients and non-diabetic subjects (P = 0.001 and P = 0.0001, respectively). The frequency of the minor allele was 38% in type 2 diabetes group and 31% in non-diabetic subjects, and this allele was significantly associated with type 2 diabetes risk (OR = 1.42, 95% CI 1.15 - 1.76 for the dominant model of inheritance). Moreover, the T/T genotype was associated with a higher risk for type 2 diabetes (OR = 1.83, 95% CI 1.3-2.5) than the presence of only one copy of the T allele (OR = 1.31, 95% CI 1.1-1.6). Both results were adjusted for age and gender. Conclusions Our results confirm the association between the TCF7L2 rs7903146 polymorphism and increase risk for type 2 diabetes in Southern-Brazil. Arq Bras Endocrinol Metab. 2014;58(9):918-25.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Student > Bachelor 6 12%
Student > Doctoral Student 5 10%
Researcher 4 8%
Lecturer 2 4%
Other 9 18%
Unknown 13 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 6 12%
Agricultural and Biological Sciences 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Immunology and Microbiology 1 2%
Other 5 10%
Unknown 17 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 January 2015.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Archives of Endocrinology and Metabolism
#648
of 800 outputs
Outputs of similar age
#315,259
of 369,122 outputs
Outputs of similar age from Archives of Endocrinology and Metabolism
#11
of 14 outputs
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