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

ABSTRACT: 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.

SUBMITTER: Wang Y

PROVIDER: S-EPMC5444763 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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

Wang Yafeng Y Huang Qiuyu Q Liu Jianchao J Wang Yanan Y Zheng Gongfeng G Lin Ling L Yu Hui H Tang Weifeng W Huang Ziyang Z

Oncotarget 20170501 18

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 the ...[more]

PMID: 28430629

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Project description:BACKGROUND:Polycystic ovarian syndrome (PCOS) is a multi-gene hereditary disorder caused by the interaction of certain gene variation with environmental factors. Previous studies have shown that vascular endothelial growth factor (VEGF) gene polymorphisms are associated with the risk of polycystic ovarian syndrome. However, the results of these studies remain controversial. We performed the present meta-analysis aiming to further investigate the potential relationship between VEGF polymorphisms and susceptibility to PCOS. METHODS:The following databases were systematically searched: PubMed, EMBASE, Web of Science (WOS), China National Knowledge Infrastructure (CNKI), and Wanfang Databases. The correlation between VEGF polymorphisms and PCOS risk was assessed by calculating pooled odds ratios (ORs) and their 95% confidence intervals (95% CIs). Subgroup analyses stratified by ethnicity and source of control were also conducted. Besides, trial sequential analysis (TSA) was done to verify the reliability of the pooled results. RESULTS:10 relevant case-control studies were incorporated in this meta-analysis, involving 1347 PCOS cases and 1378 controls. The VEGF rs2010963 polymorphism was associated with decreased PCOS risk in the whole population and the Asian populations. The VEGF rs3025039 polymorphism was associated with decreased PCOS susceptibility and the Asian populations, but increased risk of PCOS was observed among the Caucasian populations. In addition, the results of trial sequential analysis (TSA) showed the negative correlation between rs2010963 and PCOS risk, obtained by our meta-analysis, was stable and reliable. CONCLUSION:Overall, different VEGF gene polymorphisms may exert different effects on PCOS susceptibility. The VEGF rs2010963 polymorphism decreases PCOS susceptibility in both the whole population and the Asian populations, and VEGF rs3025039 polymorphism causes lower PCOS susceptibility in the whole population and the Asian populations but higher in the Caucasian populations.

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.

Project description:BackgroundVascular endothelial growth factor (VEGF) is a key mediator that plays an important role in angiogenesis, tumor growth, and tumor metastasis. The associations between five polymorphisms of VEGF (rs3025039, rs699947, rs10434, rs1570360, and rs2010963) and renal cell carcinoma (RCC) risk have been extensively investigated, but the currently available results are inconsistent and inconclusive. To obtain a more accurate assessment of the associations, we conducted a meta-analysis in this study.Materials and methodsRelevant studies were collected systemically from the following three electronic databases: MEDLINE, Web of Science, and CNKI (Chinese National Knowledge Infrastructure). Statistical analyses were performed using Review Manager 5.2 in a fixed- or random-effects model. Pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated to establish the strength of associations.ResultsA total of eight case-control studies with 1,936 RCC cases and 2,770 controls fulfilling the inclusion criteria were selected for this meta-analysis. The pooled OR indicated that rs699947 polymorphism was significantly associated with RCC risk in all genetic models. A significant association was also found between the rs3025039 polymorphism and RCC risk in a homozygous model (TT vs CC: OR =1.38, 95% CI =1.11-1.72, P=0.004), a dominant model (CT+TT vs CC: OR =1.21, 95% CI =1.05-1.39, P=0.01), and a recessive model (TT vs CC+CT: OR =1.28, 95% CI =1.04-1.57, P=0.02). After a subgroup analysis of ethnicity in the allele contrast model of rs3025039 polymorphism, we found a significant relationship in the allele contrast model (T vs C: OR =1.21, 95% CI =1.05-1.40, P=0.007) in the Asian population. With regard to rs10434 polymorphism, significant association was observed only in a homozygous model (GG vs AA: OR =0.75, 95% CI =0.57-0.98, P=0.03). As to rs1570360 or rs2010963, we did not observe any relationship between the two polymorphisms and RCC risk in our study.ConclusionOur meta-analysis confirmed the fact that rs699947, rs3025039, and rs10434 polymorphisms were significantly relevant to elevated RCC risk. In the meanwhile, this study also demonstrated that the allele contrast model of rs3025039 polymorphism was likely to be associated with risk of RCC in the Asian population.

Dataset Information

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

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

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