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BMC Medical Genetics

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Open Access 01-12-2019 | Research article

Relationship between TGF-β1 + 869 T/C and + 915 G/C gene polymorphism and risk of acute rejection in renal transplantation recipients

Authors: Hong-Yan Li, Tianbiao Zhou, Shujun Lin, Wenshan Lin

Published in: BMC Medical Genetics | Issue 1/2019

Abstract

Background

This meta-analysis was conducted to assess the relationship between the transforming growth factor-beta 1 (TGF-β1) + 869 T/C gene polymorphism, + 915 G/C gene polymorphism, and the susceptibility of acute rejection in the recipients with renal transplantation.

Methods

Relevant studies were searched and identified from the Cochrane Library and PubMed, and eligible investigations were recruited and data were calculated by meta-analysis.

Results

In this study, we found no relationship between either TGF-β1 + 869 T/C or TGF-β1 + 915 G/C gene polymorphism and acute rejection susceptibility in patients with renal transplantation. No association between either gene polymorphism and acute rejection susceptibility in patients with renal transplantation in Caucasian, Asian, or African populations individually was found.

Conclusion

The TGF-β1 + 869 T/C and + 915 G/C gene polymorphisms are not associated with acute rejection susceptibility in recipients with renal transplantation.

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Title: Relationship between TGF-β1 + 869 T/C and + 915 G/C gene polymorphism and risk of acute rejection in renal transplantation recipients
Authors: Hong-Yan Li
Tianbiao Zhou
Shujun Lin
Wenshan Lin
Publication date: 01-12-2019
Publisher: BioMed Central
Published in: BMC Medical Genetics / Issue 1/2019
Electronic ISSN: 1471-2350
DOI: https://doi.org/10.1186/s12881-019-0847-2

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Relationship between TGF-β1 + 869 T/C and + 915 G/C gene polymorphism and risk of acute rejection in renal transplantation recipients

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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