Immunogenetics of Experimentally Induced Arthritis

Tibor T. Glant, Vyacheslav A. Adarichev

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Astounding advances in biotechnology and swift accumulation of detailed information about genome sequences of different species, human and mouse in particular, lead us to believe that the time when we will know all genes controlling complex autoimmune diseases is very close. Indeed, our understanding of molecular mechanisms involved in immune regulation and immunogenetics has greatly improved during the last few years. However, the most recent progress rather underlines the distance between our skills showing the relevance of known or artificial alteration in a single gene for the formation of morbid phenotype, and our abilities to find out how natural variations in the genome might affect disease development. Thus, finding cryptic disease-susceptibility genes controlling complex autoimmune diseases, such as rheumatoid arthritis, is still an extremely challenging mission. Multiple-gene effects, phenocopies, heterogeneity of the human population, and the influence of poorly understood environmental factors make this task even more difficult. Experimentally induced autoimmune arthritis in murine strains, basically mimicking human disease, is based on a clean genetic background and a fully controllable environmental milieu. Through the dissection of the genetic background of the murine proteoglycan-induced arthritis we can bridge a gap to the understanding of human disease.

Original languageEnglish
Title of host publicationImmunogenomics and Human Disease
PublisherJohn Wiley & Sons, Ltd
Pages271-297
Number of pages27
ISBN (Print)9780470015308
DOIs
Publication statusPublished - May 16 2006

Keywords

  • Chromosome loci
  • Complex autoimmune diseases
  • Conventional linkage analysis
  • Genome screening
  • Hierarchical clustering
  • Rheumatoid arthritis (RA)
  • Synovial lining cells
  • Synteny mapping

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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