25 August 2016 : Meta-Analysis
Evaluation of Adenosine Triphosphate-Binding Cassette Transporter A1 (ABCA1) R219K and C-Reactive Protein Gene (CRP) +1059G/C Gene Polymorphisms in Susceptibility to Coronary Heart DiseaseJing-Fang LiA, Dian-Ying PengB, Mei LingC, Yong YinE
Med Sci Monit 2016; 22:2999-3008
BACKGROUND: This meta-analysis investigated the correlation of ABCA1 R219K and C-Reactive Protein Gene (CRP) +1059G/C gene polymorphisms with susceptibility to coronary heart disease (CHD).
MATERIAL AND METHODS: We searched PubMed, Springer link, Wiley, EBSCO, Ovid, Wanfang database, VIP database, and China National Knowledge Infrastructure (CNKI) databases to retrieve published studies by keyword. Searches were filtered using our stringent inclusion and exclusion criteria. Resultant high-quality data collected from the final selected studies were analyzed using Comprehensive Meta-analysis 2.0 software. Eleven case-control studies involving 3053 CHD patients and 3403 healthy controls met our inclusion criteria. Seven studies were conducted in Asian populations, 3 studies were done in Caucasian populations, and 1 was in an African population.
RESULTS: Our major finding was that ABCA1 R219K polymorphism increased susceptibility to CHD in allele model (OR=0.729, 95% CI=0.559~0.949, P=0.019) and dominant model (OR=0.698, 95% CI=0.507~0.961, P=0.027). By contrast, we were unable to find any significant association between the CRP +1059G/C polymorphism and susceptibility to CHD (allele model: OR=1.170, 95% CI=0.782~1.751, P=0.444; dominant model: OR=1.175, 95% CI=0.768~1.797, P=0.457).
CONCLUSIONS: This meta-analysis provides convincing evidence that polymorphism of ABCA1 R219K is associated with susceptibility to CHD while the CRP +1059G/C polymorphism appears to have no correlation with susceptibility to CHD.
Keywords: ATP Binding Cassette Transporter 1 - genetics, C-Reactive Protein - genetics, Coronary Disease - genetics, Gene Frequency - genetics, Genetic Heterogeneity, Genetic Loci, Genetic Predisposition to Disease, Odds Ratio, Polymorphism, Single Nucleotide - genetics, Publication Bias, Regression Analysis
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