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Intercellular Adhesion Molecule-1 K469E Polymorphism and Risk of Coronary Artery Disease: A Meta-Analysis

Shengqiang Zou, Xin Pan, Zhigang Chen, Chao Wei, Bin He, Heng Zhang

School of Medicine, Jiangsu University, Zhenjiang, China (mainland)

Med Sci Monit 2014; 20:2677-2682

DOI: 10.12659/MSM.891235

Available online:

Published: 2014-12-15


Background: Intercellular adhesion molecule-1 (ICAM-1) K469E polymorphism has been implicated in susceptibility to coronary artery disease (CAD). Several studies investigated the association of this polymorphism with CAD in different populations but the results were contradictory. A meta-analysis was conducted to assess the association between ICAM-1 K469E polymorphism and CAD susceptibility.
Material and Methods: Databases including PubMed, EMBASE, China National Knowledge Infrastructure (CNKI), and Weipu Database were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of associations. A random-effects model was used.
Results: Fifteen case-control studies including 3088 cases and 3466 controls were included. Overall, a significant association between ICAM-1 K469E polymorphism and CAD was observed in the dominant model (OR=1.80; 95% CI 1.62–2.01; P<0.00001; Pheterogeneity=0.40). In subgroup analysis by ethnicity, a significant association was found among Asians (OR=1.92; 95% CI 1.51–2.43; P<0.00001; Pheterogeneity=0.98) and among Caucasians (OR=1.64; 95% CI 1.30–2.08; P<0.0001; Pheterogeneity=0.04). In the subgroup analysis by age, a significant association was found among young patients (OR=1.46; 95% CI 1.10–1.93; P=0.008; Pheterogeneity=0.21) and old patients (OR=1.92; 95% CI 1.75–2.10; P<0.00001; Pheterogeneity=0.99).
Conclusions: Results of this meta-analysis suggest that ICAM-1 K469E polymorphism confers a risk factor of CAD.

Keywords: Genetic Predisposition to Disease, Coronary Artery Disease - genetics, Intercellular Adhesion Molecule-1 - genetics, Polymorphism, Single Nucleotide - genetics, Publication Bias, Risk Factors



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