Evaluating gene × gene and gene × smoking interaction in rheumatoid arthritis using candidate genes in GAW15

  • Mei L
  • Li X
  • Yang K
  • et al.
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Abstract

ABSTRACT : 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.

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Mei, L., Li, X., Yang, K., Cui, J., Fang, B., Guo, X., & Rotter, J. I. (2007). Evaluating gene × gene and gene × smoking interaction in rheumatoid arthritis using candidate genes in GAW15. BMC Proceedings, 1(S1). https://doi.org/10.1186/1753-6561-1-s1-s17

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