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Variants in the CXCL12 gene was associated with coronary artery disease susceptibility in Chinese Han population

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Background Coronary artery disease (CAD) is one of the most serious diseases all around the world. Previous studies have shown the function of CXCL12 in the process of atherosclerosis. The… Click to show full abstract

Background Coronary artery disease (CAD) is one of the most serious diseases all around the world. Previous studies have shown the function of CXCL12 in the process of atherosclerosis. The aim of this research is to examine whether variants of CXCL12 contribute to CAD. Materials and Methods To examine whether variants of CXCL12 contribute to CAD, we selected 6 single nucleotide polymorphisms (SNPs) of CXCL12, and genotyped by Sequenom MassARRAY technology in 597 CAD patients and 685 healthy control. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated by unconditional logistic regression adjusted for age and gender. We also analysis the differences in continuous variables among the subjects with three genotypes of related genes were assessed using the ANOVA. Results We found significant differences in apoB concentrations with rs1065297 and rs10793538 different genotype. In the allele model, rs1065297, rs266089 and rs10793538 in CXCL12 gene associated with the risk of CAD. Stratified according to gender, rs266089 and rs2839693 in CXCL12 gene were associated with the risk of CAD in men, while rs1065297 and rs10793538 in CXCL12 gene were associated with the risk of CAD in women. Stratified according to age, rs197452 decreased the risk of CAD in less than 50 years old group. While in more than 50 years old group, not find significant results. Haplotype analysis shown that haplotype “TGCC” in the block increased CAD risk (OR=1.26, 95%CI: 1.00-1.58, p=0.046). Conclusion This study provides an evidence for polymorphism of CXCL12 gene associated with CAD development in Chinese Han population.

Keywords: gene associated; variants cxcl12; cad; cxcl12 gene

Journal Title: Oncotarget
Year Published: 2017

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