Vascular endothelial growth factor A polymorphisms are associated with increased risk of coronary heart disease: a meta-analysis

Yafeng Wang, Qiuyu Huang, Jianchao Liu, Yanan Wang, Gongfeng Zheng, Ling Lin, Hui Yu, Weifeng Tang and Ziyang Huang _

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Oncotarget. 2017; 8:30539-30551. https://doi.org/10.18632/oncotarget.15546

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Yafeng Wang1,*, Qiuyu Huang2,*, Jianchao Liu3, Yanan Wang4, Gongfeng Zheng1, Ling Lin5, Hui Yu6, Weifeng Tang3 and Ziyang Huang1

1 Cardiovascular Department, The Second Clinical Medical College of Fujian Medical University, Quanzhou, Fujian, China

2 Department of Cardiac Surgery, Union Hospital, Fujian Medical University, Fuzhou, Fujian, China

3 Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, Fujian, China

4 Department of Function, Agribusiness Hospital of Xishuangbanna, Jinghong, Yunnan, China

5 Rheumatism Department, The Second Clinical Medical College of Fujian Medical University, Quanzhou, Fujian, China

6 Department of Abdominal Surgery, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China

* These authors have contributed equally to this work

Correspondence to:

Ziyang Huang, email:

Weifeng Tang, email:

Keywords: VEGFA, coronary heart disease, susceptibility, polymorphism, meta-analysis

Received: January 02, 2017 Accepted: February 08, 2017 Published: February 20, 2017


Coronary heart disease (CHD) is a common complex disease resulting from the interaction of multiple environmental and genetic factors. To assess the potential relationship of vascular endothelial growth factor (VEGFA) rs699947 C>A, rs3025039 C>T and rs2010963 G>C polymorphisms with CHD risk, a comprehensive meta-analysis was conducted. A systematic search of EMBASE and PubMed online database for publications on VEGFA polymorphisms and risk of CHD was carried out. Crude Odds ratios (ORs) with their 95% confidence intervals (CIs) were calculated to determine the association. A total of ten publications including 22 trails involving 2097 cases and 2867 controls were included in our pooled analysis. Overall, results of the present meta-analysis demonstrated a significant association between VEGFA rs699947 C>A polymorphism and an increased risk of CHD. After stratifying by ethnicity and CHD type, the association was also obtained. A significant association between VEGFA rs3025039 C>T polymorphism and risk of CHD was also found. For VEGFA rs2010963 G>C polymorphism, the polymorphism was associated with MI risk. In conclusion, our findings suggest that VEGFA rs699947 C>A, rs3025039 C>T and rs2010963 G>C polymorphisms are risk factors for CHD. In the future, large sample size and well-designed epidemiologic studies are needed to confirm these conclusions.

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