• Title of article

    The Connexin37 Gene C1019T Polymorphism and Risk of Coronary Artery Disease: A Meta-analysis

  • Author/Authors

    Wu، نويسنده , , Zhijun and Lou، نويسنده , , Yuqing and Jin، نويسنده , , Wei and Liu، نويسنده , , Yan and Lu، نويسنده , , Lin and Chen، نويسنده , , Qiujing and Zhang، نويسنده , , Ruiyan، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    10
  • From page
    21
  • To page
    30
  • Abstract
    Background and Aims ng data have emerged suggesting that the Connexin37 C1019T polymorphism increases susceptibility to coronary artery disease (CAD). However, previous studies yielded conflicting results. In the current study, a comprehensive meta-analysis was performed to investigate whether the C1019T polymorphism is associated with CAD risk. s l of 11 studies examining the C1019T polymorphism and CAD were identified using MEDLINE, Embase, CNKI, Wanfang and CBM, in which 5535 CAD patients and 5626 controls were analyzed. A random-effects model was used to calculate odd ratios and confidence intervals, while addressing between-study heterogeneity. Publication bias was weighed using the Eggerʹs test, Begg-Mazemdar test and funnel plot. s etic models with striking heterogeneity, the risk of CAD was not associated with the C1019T polymorphism (allele comparison: p = 0.34, OR = 1.11, 95% CI 0.90–1.36). Stratification by disease endpoints indicated that the 1019T allele was significantly associated with myocardial infarction (MI) (allele comparison: p <0.001, OR = 1.59, 95% CI 1.24–2.03). Further meta-regression analysis indicated that a large proportion of heterogeneity was probably due to the varying proportions of diabetes mellitus (DM) across studies (p = 0.014). sions sults indicated that the C1019T polymorphism may be a moderate risk factor for MI and that DM was likely a potential source of between-study heterogeneity.
  • Keywords
    Myocardial infarction , Coronary Artery Disease , Polymorphism Meta-analysis , connexin
  • Journal title
    Archives of Medical Research
  • Serial Year
    2014
  • Journal title
    Archives of Medical Research
  • Record number

    1797940