遗传 ›› 2011, Vol. 33 ›› Issue (3): 239-245.doi: 10.3724/SP.J.1005.2011.00239

• 研究报告 • 上一篇    下一篇

TNFSF4基因与冠心病的关联研究

陈民志1, 程广辉1, 马龙1, 王慧1, 邱熔芳1, 薛付忠2, 刘奇迹1   

  1. 1. 山东大学医学院医学遗传学研究所, 山东大学实验畸形学教育部重点实验室, 济南 250012 2. 山东大学公共卫生学院流行病与卫生统计学研究所, 济南 250012
  • 收稿日期:2010-07-14 修回日期:2010-10-04 出版日期:2011-03-20 发布日期:2011-02-25
  • 通讯作者: 刘奇迹 E-mail:liuqiji@sdu.edu.cn
  • 基金资助:

    国家863项目(编号:2006AA02A406)和国家973项目(编号:2007CB512001)资助

Association study between TNFSF4 and coronary heart disease

CHEN Min-Zhi1, CHENG Guang-Hui1, MA Long1, WANG Hui1, QIU Rong-Fang1, XUE Fu-Zhong2, LIU Qi-Ji1   

  1. 1. Institute of Medical Genetics, School of Medicine, Shandong University, Jinan 250012, China 2. Institute of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250012, China
  • Received:2010-07-14 Revised:2010-10-04 Online:2011-03-20 Published:2011-02-25
  • Contact: LIU Qi-Ji E-mail:liuqiji@sdu.edu.cn

摘要: TNFSF4(Tumor necrosis factor superfamily, number 4)基因是动脉粥样硬化的易感基因。但在瑞典、德国人群中进行的病例对照关联分析却得到了相反的结果。为探讨中国汉族人群中该基因与冠心病的关联性, 从山东大学齐鲁医院选取了498例病例及509例对照, 分析了TNFSF4基因上5个SNP位点(rs1234314、rs45454293、rs3850641、rs1234313、rs3861950)与冠心病之间的关联性。在采用传统的以单个SNP位点为单位以及以单体型为单位的统计分析方法的基础上, 引进基于主成分的logistic回归分析方法进行处理。结果显示: Armitage趋势检验中只有rs3861950位点(P=0.0324)具有统计学意义, 经Bonferroni多重检验校正后, 5个SNP位点均无统计学意义; 调整混杂因素的logistic回归分析中, 5个SNP位点均无统计学意义; 单体型分析中, CTAGT(P=0.0006)、CTAAC(P=0.0123)、CCAGT(P=0.0004)、GTGGT(P=0.0329)、GCGAC(P<0.0001)以及GCAAC(P=0.0173)这6个单体型在病例组和对照组中的频率差异具有统计学意义; 基于主成分的logistic回归分析中, 第一主成分具有统计学意义(P=0.0236)。结果表明, TNFSF4基因与冠心病之间存在关联性。

关键词: TNFSF4基因, 冠心病, 主成分分析, logistic回归分析, 关联分析

Abstract: Previous studies suggest that TNFSF4 is a susceptibility gene of atherosclerosis. But case-control association analysis in Swedish population and German population provided inconsistent, even opposite results. In order to explore the relationship between this gene and coronary heart disease (CHD) in Chinese Han population, we collected 498 cases and 509 controls from Qilu hospital of Shandong University and analyzed the association between five single-nucleotide poly-morphisms (SNPs) (rs1234314, rs45454293, rs3850641, rs1234313, and rs3861950) of TNFSF4 and CHD. On the basis of using traditional statistical analysis methods based on single SNP and haplotypes, we introduced principal component score-based logistic regression analysis to deal with the data. The results suggested that in Armitage trend test, only rs3861950 was significant, when used the Bonferroni correction, and all of the five SNPs were not statistically significant. In the logistic regression analysis which adjusts the confounding factors, all of the five SNPs were not statistically significant. In haplotype analysis, the frequencies of six haplotypes were significantly different in cases and controls (CTAGT (P=0.0006), CTAAC (P=0.0123), CCAGT (P=0.0004), GTGGT (P=0.0329), GCGAC (P<0.0001), and GCAAC (P=0.0173)). In principal component score-based logistic regression analysis, the first principal component has statistical significance (P=0.0236). These results indicate that TNFSF4 is a susceptibility gene of CHD in Chinese Han population.

Key words: TNFSF4 gene, coronary heart disease, principal component analysis, logistic regression analysis, association analysis