Xia Han1, Lili Liu2, Jiamin Niu3, Jun Yang4, Zengtang Zhang3, Zhiqiang Zhang3. 1. Department of Cardiology, Yantai Yuhuangding Hospital, Qingdao University Medical College Shandong, China ; Department of Cardiology, Laiwu People's Hospital Laiwu, Shandong, China. 2. Special Department of Laiwu People's Hospital Laiwu, Shandong, China. 3. Department of Cardiology, Laiwu People's Hospital Laiwu, Shandong, China. 4. Department of Cardiology, Yantai Yuhuangding Hospital Shandong, China.
Abstract
AIM: Our aim was to investigate the association between single nucleotide polymorphisms (SNPs) of vascular endothelial growth factor (VEGF) and coronary heart disease (CHD) susceptibility in Chinese Han population. METHODS: 144 CHD patients and 150 healthy individuals were enrolled in the study. Three SNPs (936C/T, -460T/C and -634G/C) of VEGF were chose and then were genotyped with Sequenom time-of-flight mass spectrometry (TOFMS). Odds ratio (OR) with 95% confidence interval (CI) were used to evaluate the association of genotypes and haplotypes and CHD susceptibility. RESULTS: The frequencies of -460T/C CC genotype (13.6%) was found higher in the case group than that of control group (6.7%), which indicated that CC genotype was a risk factor for CHD (OR=2.50, 95% CI=1.10-5.68). Correspondently, the C allele appeared to increase the risk of CHD (OR=1.54, 95% CI=1.07-2.22). For -634G/C polymorphism, the risk of the CC genotype carrier for CHD increased 2.24 fold compared to the wild genotype. Moreover, -634G/CC allele was significantly associated with CHD susceptibility (OR=1.65, 95% CI=1.15-2.36). In addition, +936C/T CT genotype and C allele appeared to be a genetic-susceptibility factors for CHD (OR=2.43, 95% CI=1.44-4.10; OR=1.95, 95% CI=1.26-3.02). The haplotype analysis showed that T-C-T, C-C-C and C-G-C haplotypes all could increase the risk for CHD (OR: 2.43, 2.77 and 2.33). CONCLUSION: we concluded VEGF polymorphisms were associated with CHD susceptibility. Moreover, the haplotypes of T-C-T, C-C-C and C-G-C all could increase the risk for CHD.
AIM: Our aim was to investigate the association between single nucleotide polymorphisms (SNPs) of vascular endothelial growth factor (VEGF) and coronary heart disease (CHD) susceptibility in Chinese Han population. METHODS: 144 CHD patients and 150 healthy individuals were enrolled in the study. Three SNPs (936C/T, -460T/C and -634G/C) of VEGF were chose and then were genotyped with Sequenom time-of-flight mass spectrometry (TOFMS). Odds ratio (OR) with 95% confidence interval (CI) were used to evaluate the association of genotypes and haplotypes and CHD susceptibility. RESULTS: The frequencies of -460T/C CC genotype (13.6%) was found higher in the case group than that of control group (6.7%), which indicated that CC genotype was a risk factor for CHD (OR=2.50, 95% CI=1.10-5.68). Correspondently, the C allele appeared to increase the risk of CHD (OR=1.54, 95% CI=1.07-2.22). For -634G/C polymorphism, the risk of the CC genotype carrier for CHD increased 2.24 fold compared to the wild genotype. Moreover, -634G/CC allele was significantly associated with CHD susceptibility (OR=1.65, 95% CI=1.15-2.36). In addition, +936C/T CT genotype and C allele appeared to be a genetic-susceptibility factors for CHD (OR=2.43, 95% CI=1.44-4.10; OR=1.95, 95% CI=1.26-3.02). The haplotype analysis showed that T-C-T, C-C-C and C-G-C haplotypes all could increase the risk for CHD (OR: 2.43, 2.77 and 2.33). CONCLUSION: we concluded VEGF polymorphisms were associated with CHD susceptibility. Moreover, the haplotypes of T-C-T, C-C-C and C-G-C all could increase the risk for CHD.
Authors: Tiia Kangas-Kontio; Anne Huotari; Heli Ruotsalainen; Karl-Heinz Herzig; Minna Tamminen; Mika Ala-Korpela; Markku J Savolainen; Sakari Kakko Journal: Atherosclerosis Date: 2009-12-21 Impact factor: 5.162
Authors: Maryam Zain; Fazli Rabbi Awan; Jackie A Cooper; Ka Wah Li; Jutta Palmen; Jay Acharya; Philip Howard; Shahid M Baig; Robert S Elkeles; Jeffrey W Stephens; Helen Ireland; Steve E Humphries Journal: J Coll Physicians Surg Pak Date: 2014-09 Impact factor: 0.711