2018
DOI: 10.1186/s12881-018-0628-3
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Association of genetic polymorphisms in vascular endothelial growth factor with susceptibility to coronary artery disease: a meta–analysis

Abstract: BackgroundSingle nucleotide polymorphisms (SNPs) located in the vascular endothelial growth factor (VEGF) gene may be correlated with the susceptibility to coronary artery disease (CAD) – although results have been controversial. The aim of this meta–analysis is to clarify the effects of VEGF –2578A/C (rs699947), −1154G/A (rs1570360), +405C/G (rs2010963), and + 936C/T (rs3025039) polymorphisms on CAD risk.MethodsPooled odds ratio (OR) and corresponding 95% confidence intervals (CIs) were calculated to estimate… Show more

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Cited by 15 publications
(10 citation statements)
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“…The characterization of genetic polymorphisms of the VEGFA gene that influence the gene's expression [3,4] and the central role of VEGF-A in blood vessel formation have made the gene an object of interest in studies of susceptibility to, and progression of, cardiovascular disease [34,35]. We found one of three SNPs assayed, rs699947, was an independent predictor of mortality in male non-diabetic participants in the CDCS cohort.…”
Section: Discussionmentioning
confidence: 86%
“…The characterization of genetic polymorphisms of the VEGFA gene that influence the gene's expression [3,4] and the central role of VEGF-A in blood vessel formation have made the gene an object of interest in studies of susceptibility to, and progression of, cardiovascular disease [34,35]. We found one of three SNPs assayed, rs699947, was an independent predictor of mortality in male non-diabetic participants in the CDCS cohort.…”
Section: Discussionmentioning
confidence: 86%
“…In particular, VEGF gene variability may be important for several angiogenesis-associated diseases, such as tumors or coronary disease [56]. Hyper-activation of the VEGFA pathway and an excess of deleterious variants in VEGFA and VEGFA pathway genes have been found to be associated with ASDs and TF [23,24,57].…”
Section: Discussionmentioning
confidence: 99%
“…After referring to several reported meta-analyses [2527], we utilized STATA 12.0 software (Stata Corporation, College Station, TX, USA) to conduct the I 2 test and Q statistic test (for heterogeneity evaluation), DerSimonian-Laird and Mantel-Haenszel method (for association test), Begg’s test and Egger’s test (for publication bias evaluation) [28, 29], and sensitivity analysis (for the assessment of data stability). The high heterogeneity level was considered to perform the DerSimonian-Laird method under a random-effect model when I 2 was larger than 50% or the P value was less than 0.05.…”
Section: Methodsmentioning
confidence: 99%