期刊文献+

多因子降维法在人群散发性结直肠癌交互作用分析中的应用 被引量:6

Application of multifactor dimensionality reduction on the interactions between gene-gene, gene- environment and the risk sporadic colorectal cancer in Chinese population .
原文传递
导出
摘要 目的 探讨DNA修复基因多态性与中国南方汉族人群散发性结直肠癌发病的相关性,验证多因子降维法(MDR)应用于多因子疾病基因-基因、基因-环境交互作用分析的可行性。方法 采用自然人群为基础的病例对照研究设计,运用PCR—RFLP方法对206例结直肠癌病例和845例正常对照开展OGG1 Ser326Cys,XRCC1 Arg194Trp、Arg280His和Arg399Gln,XPD Lys751Gln和XRCC3Thr241Met等DNA修复体系常见单核苷酸多态性(SNP)的检测分型。结果 个体特征与结直肠癌的关联分析表明,年龄与结直肠癌的发病正相关,高年龄组(≥61岁)与低年龄组(≥42岁至〈61岁)相比,结直肠癌患病风险增高有统计学意义(校正OR=2。04,95%CI:1.49~2.80);家族肿瘤史同样与结直肠癌的发病存在有统计学意义的正相关关系(校正OR=1.51,95%CI:1.05~2.17)。前述各SNP的等位基因和基因型分布频率在正常对照组和病例组间差异均无统计学意义(P〉0.05)。采用MDR对基因-基因、基因-环境交互作用模型的筛选分析表明,最佳的交互作用模型包含了年龄分布、饮酒史、XRCC1 Arg194 Trp和OGG1 Ser326Cys等4个因子(平均检验准确度=0.616,交叉验证一致性=10/10,P=0.011);进一步以筛选出的低风险组合为参照,logistic拟合分析发现高风险组合可以使结直肠癌的患病风险增高并有统计学意义(OR=2.72,95%CI:1.66~4.47)。结论 DNA修复基因多态性对中国人散发性结直肠癌风险的遗传影响符合低外显性特征,并与环境因子可能存在着复杂的联合作用。 Objective To identify the association between risk of sporadic colorectal cancer and the common single nucleotide polymorphisms (SNPs) in DNA repairs genes, gene to gene interactions among them and their gene to environment interactions with common environmental factors. Methods In this population-based case-control study, 206 primary colorectal cancer cases and 845 cancer-free healthy controls were enrolled. Genotyping was carried out using polymerase chain reactlon-restriction fragment length polymorphism (PCR-RFLP) technique, with the status of sub)ects case or controls unknown. Muhifactor dimensionality reduction (MDR) and logistic analysis were both used for association analysis. Results As compared to the younger age group (≥42, (61 years), the risk of colorectal cancer in older age group (≥61 years) increased significantly ( OR = 2.04,95% CI: 1.49-2.80). Similar result was observed in the family cancer history (OR= 1.51,95% CI: 1.05-2.17). However, no significant association between any single DNA repair gene SNP and colorectal cancer risk was discovered. Results from MDR analysis only showed a significant interaction among the four following factors: age, alcohol drinking, XRCC1 Arg194Trp and OGG1 Ser326Cys (the cross-validation consistency = 10/10, the average testing accuracy = 0.616, P= 0.011). Using a logistic regression model, the "high-risk" individuals had a significantly elevated risk of colorectal cancer compared to those "low- risk" individuals classified by the above MDR model ( OR - 2.72,95 % C1: 1.66- 4.47). Conclusion The impact of polymorphisms in DNA repair genes on the risk of sporadic eolorectal cancer exhibited a low-penetrance characteristics while the intricate interactions existing among them and with environmental factors.
出处 《中华流行病学杂志》 CAS CSCD 北大核心 2008年第6期535-539,共5页 Chinese Journal of Epidemiology
基金 国家自然科学基金资助项目(30471492) 浙江省自然科学基金资助项目(R205319)
关键词 结直肠肿瘤 基因多态性 单核苷酸多态性 DNA修复基因 多因子降维 Colorectal neoplasm Genetic polymorphism, Single nueleotide polymorphism DNA repair gene Multifactor dimensionality reduction
  • 相关文献

参考文献20

  • 1Yang L, Parkin DM, Ferlay J, et al. Estimates of cancer incidence in China for 2000 and projections for 2005. Cancer Epidemiol Biomarkers Prey, 2005,14:243-250.
  • 2吴德生.环境与健康//陈学敏.环境卫生学.1版.北京:人民卫生出版社,2004:11-45.
  • 3朱守民.DNA损伤修复基因与遗传易感性[J].环境与职业医学,2003,20(1):50-52. 被引量:7
  • 4Ritchie MD,Hahn LW,Roodi N,et al. Multifactor-dimensionality reduction reveals high-order interactions among estrogenmetabolism genes in sporadic breast cancer. Am J Hum Genet, 2001,69 : 138-147.
  • 5Abdel-Rahman SZ, El-Zein RA. The 399Gln polymorphism in the DNA repair gene XRCC1 modulates the genotoxic response induced in human lymphocytes by the tobacco-specific nitrosamine NNK. Cancer Lett,2000,159:63-71.
  • 6Butkiewicz D, Rusin M,Enewold L,et al. Genetic polymorphisms in DNA repair genes and risk of lung cancer. Carcinogenesis, 2001,22:593-597.
  • 7David-Beabes GL, Lunn RM, London SJ. No association between the XPD ( Lys751Gln ) polymorphism or the XRCC3 (Thr241Met) polymorphism and lung cancer risk. Cancer Epldemiol Biomarkers Prey, 2001, 10 : 911-912.
  • 8Le Marchand L,Donlon T,Lum-Jones A,et al. Association of the hOGG1 Ser326Cys polymorphism with lung cancer risk. Cancer Epidemiol Biomarkers Prey, 2002,11 : 409-412.
  • 9Sturgis EM,Zheng R, Li L, et al. XPD/ERCC2 polymorphisms and risk of head and neck cancer: a case-control analysis. Carcinogenesis, 2000,21 : 2219-2223.
  • 10Baglioni S, Genuardi M. Simple and complex genetics of colorectal cancer susceptibility. Am J Med Genet C Semin Med Genet, 2004,129 : 35-43.

二级参考文献33

  • 1Moore JH.The ubiquitous nature of epistasis in determining susceptibility to common human diseases.Hum Hered,2003,56:73-82.
  • 2Moore JH,Ritchie MD.The challenges of whole-genome approaches to common diseases.JAMA,2004,291:1642-1643.
  • 3Ritchie MD,Hahn LW,Roodi N,et al.Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.Am J Hum Genet,2001,69:138-147.
  • 4Hahn LW,Ritchie MD,Moore JH.Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions.Bioinformatics,2003,19:376-382.
  • 5Nelson MR,Kardia SL,Ferrell RE,et al.A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation.Genome Res,2001,11:458-470.
  • 6Coffey CS,Hebert PR,Ritchie MD,et al.An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene interactions on risk of myocardial infarction:the importance of model validation.BMC Bioinformatics,2004,5:49.
  • 7Moore JH.Computational analysis of gene-gene interactions using multifactor dimensionality reduction.Expert Rev Mol Diagn,2004,4:795-803.
  • 8Robnik-Sikonja M,Kononenko I.Theoretical and empirical analysis of Relief F and RRelief F.Mach Lear J,2003,53:23-69.
  • 9Tsai CT,Lai LP,Lin JL,et al.Renin-angiotensin system gene polymorphisms and atrial fibrillation.Circulation,2004,109:1640-1646.
  • 10Hahn LW,Moore JH.Ideal discrimination of discrete clinical endpoints using multilocus genotypes.In Silico Biol,2004,4:183-194.

共引文献35

同被引文献51

引证文献6

二级引证文献49

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部