Zhang Junbo, Ma Huijun, Gao Jie, Kong Shu, You Jiangtao, Sheng Ying
Department of Peripheral Vascular, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Department of Cardiology, The First Hospital of Xi'an, Xi'an 710002, China.
Oncotarget. 2017 Apr 18;8(33):54518-54527. doi: 10.18632/oncotarget.17171. eCollection 2017 Aug 15.
Coronary artery disease (CAD) is one of the most serious diseases all around the world. Previous studies have shown the function of in the process of atherosclerosis. The aim of this research is to examine whether variants of contribute to CAD.
To examine whether variants of contribute to CAD, we selected 6 single nucleotide polymorphisms (SNPs) of , 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.
We found significant differences in apoB concentrations with rs1065297 and rs10793538 different genotype. In the allele model, rs1065297, rs266089 and rs10793538 in gene associated with the risk of CAD. Stratified according to gender, rs266089 and rs2839693 in gene were associated with the risk of CAD in men, while rs1065297 and rs10793538 in 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, =0.046).
This study provides an evidence for polymorphism of gene associated with CAD development in Chinese Han population.
冠状动脉疾病（CAD）是全球最严重的疾病之一。先前的研究已经表明了[具体物质]在动脉粥样硬化过程中的作用。本研究的目的是检验[具体物质]的变异体是否与CAD有关。
为了检验[具体物质]的变异体是否与CAD有关，我们选择了[具体物质]的6个单核苷酸多态性（SNP），并通过Sequenom MassARRAY技术对597例CAD患者和685例健康对照进行基因分型。通过对年龄和性别进行校正的无条件逻辑回归计算优势比（OR）和95%置信区间（CI）。我们还使用方差分析评估了具有相关基因三种基因型的受试者之间连续变量的差异。
我们发现rs1065297和rs10793538不同基因型的载脂蛋白B浓度存在显著差异。在等位基因模型中，[具体物质]基因中的rs1065297、rs266089和rs10793538与CAD风险相关。按性别分层，[具体物质]基因中的rs266089和rs2839693与男性CAD风险相关，而[具体物质]基因中的rs1065297和rs10793538与女性CAD风险相关。按年龄分层，rs197452降低了50岁以下组的CAD风险。而在50岁以上组中，未发现显著结果。单倍型分析表明，该区域的单倍型“TGCC”增加了CAD风险（OR=1.26，95%CI：1.00-1.58，P=0.046）。
本研究为中国汉族人群中[具体物质]基因多态性与CAD发生发展的相关性提供了证据。
