, Volume 40, Issue 3, pp 372–378

Association between the T869C polymorphism of transforming growth factor-beta 1 and diabetic nephropathy: a meta-analysis

Original Article

DOI: 10.1007/s12020-011-9503-0

Cite this article as:
Jia, H., Yu, L., Gao, B. et al. Endocrine (2011) 40: 372. doi:10.1007/s12020-011-9503-0


Accumulating evidence has suggested that transforming growth factor-beta 1 (TGF-β1) is a functional candidate for diabetic nephropathy (DN). However, association studies investigating the relationship of TGF-β1 gene T869C polymorphism and DN generate inconsistent results. To comprehensively clarify this issue, we performed a meta-analysis to evaluate the impact of the polymorphism on DN. We searched studies from PubMed and China National Knowledge Infrastructure (CNKI) through March 2011. Pooled ORs were calculated under allelic/additive/dominant/recessive/over-dominant genetic models. Nine studies with 1776 cases and 1740 controls were included. Our results indicated that C allele of T869C conferred a significantly increased risk of DN compared with T allele (OR = 1.25, 95% CI: 1.05–1.48) for allelic contrast. Similar results were also found under additive (OR = 1.57, 95% CI: 1.10–2.23) and dominant (OR = 1.40, 95% CI: 1.06–1.85) genetic models. However, subgroup analyses stratified by types of diabetes showed that significantly increased risks were only observed in type 2 diabetic patients, and the association persistently existed in further analysis for Asian populations. As for type 1 diabetic subjects, no significant association was detected under all the genetic models (P > 0.05). Our meta-analysis suggested that the TGF-β1 T869C polymorphism conferred an elevated risk of DN. However, significant associations were only observed in type 2 diabetic patients.


Diabetic nephropathyMeta-analysisTGF-β1Polymorphism

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Endocrinology and Metabolism, Xijing HospitalFourth Military Medical UniversityXi’anPeople’s Republic of China
  2. 2.Department of Information TechnologyJinan General HospitalJinanPeople’s Republic of China