Identification of a two-loci epistatic interaction associated with susceptibility to rheumatoid arthritis through reverse engineering and multifactor dimensionality reduction

Genomics. 2007 Jul;90(1):6-13. doi: 10.1016/j.ygeno.2007.03.011. Epub 2007 May 4.

Abstract

Altered synovial fibroblast (SF) transcriptional activity is a key factor in the disease progression of rheumatoid arthritis (RA). To determine the transcriptional regulatory network associated with SF response to an RA proinflammatory stimulus we applied a CARRIE reverse engineering approach to microarray gene expression data from SFs treated with RA synovial fluid. The association of the inferred gene network with RA susceptibility was further analyzed by a case-control study of promoter single-nucleotide polymorphisms, and the presence of epistatic interactions was determined using the multifactor dimensionality reduction methodology. Our findings suggest that a specific NF-kappaB transcriptional regulatory network of 13 genes is associated with SF response to RA proinflammatory stimulus and identify a significant epistatic association of two of its genes, IL6 and IL4I1, with RA susceptibility.

Publication types

  • Comparative Study

MeSH terms

  • Arthritis, Rheumatoid / genetics*
  • Arthritis, Rheumatoid / metabolism
  • Cells, Cultured
  • Epistasis, Genetic*
  • Female
  • Fibroblasts / metabolism
  • Gene Expression Profiling
  • Genetic Engineering*
  • Genetic Markers / genetics
  • Genetic Predisposition to Disease*
  • Humans
  • Middle Aged
  • NF-kappa B / genetics*
  • NF-kappa B / metabolism
  • Oligonucleotide Array Sequence Analysis
  • Polymorphism, Genetic
  • Promoter Regions, Genetic
  • Synovial Fluid / physiology
  • Synovial Membrane / cytology
  • Synovial Membrane / metabolism

Substances

  • Genetic Markers
  • NF-kappa B