摘要
目的系统评价血管紧张素转换酶(AcE)基因捅入/缺失(I/D)多态性与肥厚性心肌病(HCM)的相关性。方法检索PubMed、Embase、OVID、Web of Science、Cochrane library、CNKI、万方、VIP数据库,搜集ACEI/D多态性qHCM关系的研究义献,对符合纳入标准的文献采用Stata 11.0软件进行Meta分析:结果共纳入15篇文献,累计病例1114例,对照1648例。Meta分析结果显示:ACEI/D多态性与HCM易感性的相关性在4个比较模型中的差异均有统计学意义[DvsⅠ:OR=1.49,95%CI 1.20-1.84;DDvs(ID+Ⅱ):OR=1.56,95%CI 1.17~2.08;(DD+ID)vsⅡ:OR=1.76.95%CI 1.30~2.38;DDvsⅡ:OR=2.20,95%CI 1.44-3.37]。亚组分析提示,ACEI/D多态性与HCM的相关性在亚洲人群中的差异有统计学意义,而在欧洲人群中的差异无统计学意义(P〉0.05)。结论在全人群中ACEI/D多态性与HCM的易感性相关,D等位基因和DD基因型可能是其发病的危险因素.在欧洲人群中I/D多杰件与HCM的发病病无关。
Objective To systematically investigate the correlation between the polymorphism of angiotensin converting enzyme (ACE) gene I/D and hypertrophic cardiomyopathy. Methods The databases, such as PubMed, Embase, OVID, Web of Science, Cochrane library, CNKI, WanFang Data and VIP, were searched to collect the studies on the correlation between ACE I/D polymorphism and hypertrophic cardiomyopathy susceptibility. Studies that met the inclusion criteria were Meta-analyzed using Stata 11.0 software. Results Fifteen articles were collected including 1114 cases and 1648 controls. The Meta-analysis indicated that there was significant correlation between the 4 models of ACE I/D polymorphism and hypertrophic cardiomyopathy susceptibility [D vs I: OR=1.49, 95%CI (1.20, 1.84); DD vs (ID+II): 0R=1.56, 95%CI (1.17, 2.08); (DD+ID) vs II: 0R=1.76, 95%CI (1.30, 2.38); DD vs II: 0R=2.20, 95%CI (1.44, 3.37)]. In subgroup analysis, the significant difference existed in Asian population, but no significance was found in European population (P〈0.05). Conclusions There is a positive correlation between hypertrophic cardiomyopathy and ACE I/D polymorphism in population, and D allele and DD genotype are likely to be the risk factors of hypertrophic cardiomyopathy. But such correlation does not exist in European population.
出处
《解放军医学杂志》
CAS
CSCD
北大核心
2013年第12期984-988,共5页
Medical Journal of Chinese People's Liberation Army
关键词
肽基二肽酶A
基因多态性
心肌病
肥厚性
META分析
peptidyl-dipeptidase A
gene polymorphism
cardiomyopathy, hypertrophic
Meta-Analysis