Dilare Adi1, Xiang Xie1, Fen Liu2, Yi-Tong Ma1, Mayila Abudoukelimu1, Yun Wu3, Yong An4, Yi-Ning Yang1, Xiao-Mei Li1, Zhen-Yan Fu1, Yong-Tao Wang1, Bang-Dang Chen2. 1. Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China ; Xinjiang Key Laboratory of Cardiovascular Disease Research Urumqi 830054, P. R. China. 2. Xinjiang Key Laboratory of Cardiovascular Disease Research Urumqi 830054, P. R. China. 3. Department of General Medicine, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China. 4. Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Abstract
OBJECTIVE: Proprotein convertase subtilisin-like kexin type 9 (PCSK9) gene E670G Polymorphism has been reported to be associated with coronary artery disease (CAD) and risk factors. However, the results remain controversial. We sought to perform a meta-analysis to investigate the relationships between genetic polymorphisms of E670G in PCSK9 gene and the risk of CAD. METHODS: Literature searches were performed to identify all published relevant case-control studies without any language restrictions. Meta-analysis was conducted using the Review Manager software (version 5.2). Heterogeneity was investigated and measured using Cochran's Q-statistic and the inconsistency index (I(2)) test; Crude odds ratios (OR) with their corresponding 95% confidence interval (CI) were calculated. RESULTS: A total of 5 case-control studies among 871 patients with CAD and 1144 control subjects were included in the meta-analysis. we found a correlation between PCSK9 genetic polymorphisms and increased risk for CAD under all of the genetic model (allele model: OR: 1.56, 95% CI: 1.21-2.01, P < 0.001; dominant model: OR: 1.46, 95% CI: 1.14-1.88, P = 0.003; recessive model: OR: 3.46, 95% CI: 1.19-10.10, P = 0.02; homozygous model: OR: 3.89, 95% CI: 1.35-11.20, P = 0.01; Heterozygous model: OR: 1.43, 95% CI: 1.08-1.92, P = 0.01; respectively). CONCLUSION: The results of the meta-analysis indicated that genetic polymorphism of E670G in PCSK9 gene might be involved in pathogenesis of CAD; the 670G carriers may be closely related to the risk of CAD.
OBJECTIVE:Proprotein convertase subtilisin-like kexin type 9 (PCSK9) gene E670G Polymorphism has been reported to be associated with coronary artery disease (CAD) and risk factors. However, the results remain controversial. We sought to perform a meta-analysis to investigate the relationships between genetic polymorphisms of E670G in PCSK9 gene and the risk of CAD. METHODS: Literature searches were performed to identify all published relevant case-control studies without any language restrictions. Meta-analysis was conducted using the Review Manager software (version 5.2). Heterogeneity was investigated and measured using Cochran's Q-statistic and the inconsistency index (I(2)) test; Crude odds ratios (OR) with their corresponding 95% confidence interval (CI) were calculated. RESULTS: A total of 5 case-control studies among 871 patients with CAD and 1144 control subjects were included in the meta-analysis. we found a correlation between PCSK9 genetic polymorphisms and increased risk for CAD under all of the genetic model (allele model: OR: 1.56, 95% CI: 1.21-2.01, P < 0.001; dominant model: OR: 1.46, 95% CI: 1.14-1.88, P = 0.003; recessive model: OR: 3.46, 95% CI: 1.19-10.10, P = 0.02; homozygous model: OR: 3.89, 95% CI: 1.35-11.20, P = 0.01; Heterozygous model: OR: 1.43, 95% CI: 1.08-1.92, P = 0.01; respectively). CONCLUSION: The results of the meta-analysis indicated that genetic polymorphism of E670G in PCSK9 gene might be involved in pathogenesis of CAD; the 670G carriers may be closely related to the risk of CAD.
Authors: Ingrid K Kotowski; Alexander Pertsemlidis; Amy Luke; Richard S Cooper; Gloria L Vega; Jonathan C Cohen; Helen H Hobbs Journal: Am J Hum Genet Date: 2006-01-20 Impact factor: 11.025
Authors: Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner Journal: Circulation Date: 2013-12-18 Impact factor: 29.690