Mei Ling, Li Xiaohui, Yang Kai, Cui Jinrui, Fang Belle, Guo Xiuqing, Rotter Jerome I
Department of Medical Genetics, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, 665 West Tower, Los Angeles, California 90048, USA.
BMC Proc. 2007;1 Suppl 1(Suppl 1):S17. doi: 10.1186/1753-6561-1-s1-s17. Epub 2007 Dec 18.
We examined the potential gene x gene interactions and gene x smoking interactions in rheumatoid arthritis (RA) using the candidate gene data sets provided by Genetic Analysis Workshop 15 Problem 2. The multifactor dimensionality reduction (MDR) method was used to test gene x gene interactions among candidate genes. The case-only sample was used to test gene x smoking interactions. The best predictive model was the single-locus model with single-nucleotide polymorphism (SNP) rs2476601 in gene PTPN22. However, no clear gene x gene interaction was identified. Substantial departure from multiplicativity was observed between smoking and SNPs in genes CTLA4, PADI4, MIF, and SNPs on chromosome 5 and one haplotype of PTPN22. The strongest evidence of association was identified between the PTPN22 gene and RA status, which was consistently detected in single SNP association, gene x gene interaction and gene x smoking interaction analyses.
我们利用遗传分析研讨会15问题2提供的候选基因数据集,研究了类风湿关节炎(RA)中潜在的基因-基因相互作用和基因-吸烟相互作用。采用多因素降维(MDR)方法检测候选基因间的基因-基因相互作用。仅病例样本用于检测基因-吸烟相互作用。最佳预测模型是基因PTPN22中具有单核苷酸多态性(SNP)rs2476601的单基因座模型。然而,未发现明确的基因-基因相互作用。在基因CTLA4、PADI4、MIF中的吸烟与SNP之间,以及5号染色体上的SNP与PTPN22的一个单倍型之间,观察到明显偏离乘法定律的情况。在PTPN22基因与RA状态之间发现了最强的关联证据,这在单SNP关联、基因-基因相互作用和基因-吸烟相互作用分析中均得到一致检测。