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Published in: Diabetology & Metabolic Syndrome 1/2019

Open Access 01-12-2019 | Diabetes | Research

Genetic associations between Transcription Factor 7 Like 2 rs7903146 polymorphism and type 2 diabetes mellitus: a meta-analysis of 115,809 subjects

Authors: Liying Lou, Jingjing Wang, Jing Wang

Published in: Diabetology & Metabolic Syndrome | Issue 1/2019

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Abstract

Background

Some genetic association studies tried to investigate potential associations of Transcription Factor 7 Like 2 (TCF7L2) rs7903146 polymorphism with type 2 diabetes mellitus (T2DM). However, the results of these studies were not consistent. Thus, we performed the present meta-analysis to explore associations between TCF7L2 rs7903146 polymorphism and T2DM in a larger pooled population.

Methods

Systematic literature research of PubMed, Web of Science and Embase was performed to identify eligible studies for pooled analyses. I2 statistics were employed to assess between-study heterogeneities. If I2 was greater than 50%, random-effect models (REMs) would be used to pool the data. Otherwise, fixed-effect models (FEMs) would be applied for synthetic analyses.

Results

Totally 68 studies with 115,809 subjects were included for analyses. The pooled analyses showed that TCF7L2 rs7903146 (dominant model: p < 0.0001; recessive model: p < 0.0001; over-dominant model: p < 0.0001; allele model: p < 0.0001) polymorphism was significantly associated with susceptibility to T2DM in overall population. Further subgroup analyses revealed similar significant findings in both Asians and Caucasians.

Conclusions

In conclusion, our findings supported that TCF7L2 rs7903146 polymorphism could be used to identify individuals at high risk of developing T2DM in Asians and Caucasians.
Appendix
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Metadata
Title
Genetic associations between Transcription Factor 7 Like 2 rs7903146 polymorphism and type 2 diabetes mellitus: a meta-analysis of 115,809 subjects
Authors
Liying Lou
Jingjing Wang
Jing Wang
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Diabetology & Metabolic Syndrome / Issue 1/2019
Electronic ISSN: 1758-5996
DOI
https://doi.org/10.1186/s13098-019-0451-9

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