Open AccessThe impact of vascular endothelial growth factor +405 C/G polymorphism on long‐term outcome and severity of coronary artery disease
Author(s) -
Kalayi Nia Samira,
Ziaee Shayan,
Boroumand Mohammad Ali,
Sotudeh Anvari Maryam,
Pourgholi Leyla,
Jalali Arash
Publication year - 2017
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.22066
Subject(s) - coronary artery disease , medicine , vascular endothelial growth factor , genotyping , snp , cohort , allele , genotype , single nucleotide polymorphism , cardiology , bioinformatics , vegf receptors , biology , gene , genetics
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.