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Association of genetic polymorphisms in vascular endothelial growth factor with susceptibility to coronary artery disease: a meta-analysis.

ABSTRACT: BACKGROUND:Single 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. METHODS:Pooled odds ratio (OR) and corresponding 95% confidence intervals (CIs) were calculated to estimate the strength of the association between VEGF gene polymorphisms and CAD risk. Fixed- or random-effects model was used depending on the heterogeneity between studies. RESULTS:In total, 13 eligible articles containing 29 studies were analysed. The pooled analysis indicated that the VEGF gene polymorphisms of rs699947, rs2010963, and rs3025039 were associated with an increased risk of CAD, whereas no significant associations were observed with the rs1570360 polymorphism. A subgroup analysis stratified by ethnicity revealed that the rs699947 and rs3025039 polymorphisms were associated with CAD risk in Asian populations. In addition, stratification by control source indicated an increased risk of CAD susceptibility with the rs699947 polymorphism for population-based studies of reduced heterogeneity. CONCLUSIONS:In summary, we concluded that the VEGF gene polymorphisms rs699947, rs2010963, and rs3025039 are correlated with an elevated CAD risk.

SUBMITTER: Ma WQ

PROVIDER: S-EPMC6031176 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Association of genetic polymorphisms in vascular endothelial growth factor with susceptibility to coronary artery disease: a meta-analysis.

Ma Wen-Qi WQ Wang Ying Y Han Xi-Qiong XQ Zhu Yi Y Liu Nai-Feng NF

BMC medical genetics 20180704 1

<h4>Background</h4>Single 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.<h4>Methods</h4>Pooled odds ratio (OR) and corresponding 95% confidence intervals ...[more]

PMID: 29973139

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Project description:BackgroundCoronary heart disease (CHD) is a cardiovascular disease characterized by high morbidity and mortality. Vascular endothelial growth factor (VEGF) and its receptor, named kinase insert domain-containing receptor (KDR, or VEGFR2), which are involved with angiogenesis and vascular repair, could partly contribute to the development of CHD. The aim of this study, therefore, was to investigate the potential correlations between genetic polymorphisms on VEGF and KDR and susceptibility to CHD, and the integrative role of SNPs combined on susceptibility to CHD were also studied.Material/methodsVenous blood samples gathered from 533 DCM patients and 533 healthy controls were used to genotype tag-SNPs of VEGF (rs699947, rs2010963, and rs3025010) and KDR (rs2071559, rs2305948, and rs1870377) by polymerase chain reaction (PCR) and SNaPshot assay. Investigations of potential haplotypes were conducted on the basis of SHEsis software. The odds ratio (ORs) and relevant 95% confidence intervals (95% CI) were used to estimate associations of SNPs/haplotypes with risk of CHD. Multivariate logistic regression was also performed, taking certain clinical characteristics (e.g., BMI, smoking, alcohol consumption, diabetes, and hypertension) into consideration. All statistical analyses were done with STATA Version 12.0 software.ResultsOur results suggest that rs699947 (T>C) on KDR are associated with susceptibility to CHD under the dominant model before (OR=1.35, 95% CI: 1.05-1.73, P=0.019) and after (OR=1.33, 95% CI: 1.01-1.76, P=0.044), allowing for clinical characteristics (e.g., BMI, smoking, alcohol consumption, diabetes, and hypertension). rs2305948 (G>A) and rs1870377 (A>T) on VEGF were also found to be associated with risk of CHD under the recessive model after adjustment with multivariate regression analyses (OR=1.21, 95% CI: 1.02-1.43, P=0.029; OR=2.54, 95% CI: 1.13-5.75, P=0.025); OR=2.83, 95% CI: 1.47-5.46, P=0.002, respectively). Additionally, haplotype analyses revealed that integration of 5 SNPs would either raise (e.g. C-C-T-G-T and T-G-T-G-T) or reduce (e.g. C-C-C-G-T, T-C-T-G-A, T-C-T-G-T, and T-G-T-G-A) risk of CHD.ConclusionsGenetic polymorphisms on VEGF (rs699947) and KDR (rs2305948and rs1870377), as well as relevant haplotypes, may serve as genetic markers that might be useful in future investigations on the pathogenesis of CHD.

Dataset Information

Association of genetic polymorphisms in vascular endothelial growth factor with susceptibility to coronary artery disease: a meta-analysis.

Publications

Association of genetic polymorphisms in vascular endothelial growth factor with susceptibility to coronary artery disease: a meta-analysis.

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