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The Impact of Vascular Endothelial Growth Factor +405 C/G Polymorphism on Long-Term Outcome and Severity of Coronary Artery Disease Publisher Pubmed



Kalayi Nia S1 ; Ziaee S1 ; Boroumand MA2 ; Sotudeh Anvari M2 ; Pourgholi L1 ; Jalali A3
Authors
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Authors Affiliations
  1. 1. Department of Molecular Pathology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Pathology and Laboratory Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Biostatistics, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Clinical Laboratory Analysis Published:2017


Abstract

Background: The association between genetic variations of vascular endothelial growth factor (VEGF) gene and the risk for atherosclerosis has been hypothesized. We aimed to assess the relationship between rs2010963 (+405 C/G) polymorphism and presence, severity, and outcome of coronary artery disease (CAD) in an Iranian cohort. Methods: Genotyping of VEGF rs2010963 polymorphism was performed on 520 individuals, comprising 347 patients with documented coronary artery disease based on angiography report and 173 individuals with normal coronary arteries, using the TaqMan real-time PCR method. In final, 484 subjects were followed up over a 5-year period for cardiovascular-related outcomes. Results: C allele of VEGF rs2010963 polymorphism was related to increase risk for CAD and also slightly to 5-year cardiovascular mortality. The 5-year survival in C and G allele subgroups were 92.3% and 94.3% in CAD group and 95.7% and 98.0% in non-CAD group, respectively. Conclusions: Vascular endothelial growth factor rs2010963 polymorphism may be associated with the presence of CAD and its long-term survival, but not with its severity. To the best of our knowledge, this is the first report of genetic association between rs2010963 SNP and CAD-related death. It can be thus suggested that rs2010963 VEGF gene can be considered as a genetic risk predictor for CAD and its outcomes. © 2016 Wiley Periodicals, Inc.