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A meta-analysis of the vascular endothelial growth factor polymorphisms associated with the risk of pre-eclampsia

Authors :
Chenlu Xia
Yijie Duan
Kang Wang
Ping Cheng
Bo Xiong
Weicheng Duan
Source :
Bioscience Reports
Publication Year :
2020
Publisher :
Portland Press Ltd., 2020.

Abstract

Backgroud: Pre-eclampsia (PE) is a common pregnancy-induced hypertension disease. Some case–control studies reported the association between vascular endothelial growth factor (VEGF) gene polymorphisms (rs3025039, rs2010963) and PE risk. However, these associations were inconsistent in several studies. Therefore, we conducted this meta-analysis to assess the role of VEGF gene polymorphisms in PE more precisely. Methods: Eligible studies were searched in PubMed, Embase, Web of Science and Chinese (Chinese National Knowledge Infrastructure (CNKI) and WanFang) databases. Statistical analyses were performed by Stata 12.0 software. Odds ratio (OR) and 95% confidence interval (CI) were used to assess the strength of the association. In addition, subgroup analyses, sensitive analyses and publication bias analyses were performed to further assess this meta-analysis. Results: In total, 21 studies were included in the meta-analysis covering 2018 cases and 2632 controls. There were significant associations between VEGF polymorphisms (rs3025039, rs2010963) and PE risk in the overall populations. In the subgroup analyses, we found that rs3025039 polymorphism was associated with the increased risk of PE among Chinese. As for rs2010963 polymorphism, a significant association was observed in subgroup of Caucasian. Conclusion: The present study suggested that the two VEGF gene polymorphisms (rs3025039, rs2010963) are associated with increased risk of PE in different ethnic groups, which means that the targets may be useful genetic markers for early prediction of PE.

Details

Language :
English
ISSN :
15734935 and 01448463
Volume :
40
Issue :
5
Database :
OpenAIRE
Journal :
Bioscience Reports
Accession number :
edsair.doi.dedup.....d5a4a448db8deb3c386533097149401d