4.7 Article

A loss-of-function variant of the antiviral molecule MAVS is associated with a subset of systemic lupus patients

期刊

EMBO MOLECULAR MEDICINE
卷 3, 期 3, 页码 142-152

出版社

WILEY
DOI: 10.1002/emmm.201000120

关键词

cell signalling; immune response; lupus; polymorphisms; virus

资金

  1. Institut Pasteur [186, 1224]
  2. French national research agency (ANR-MIE-Flupropar)
  3. NIH [AI059893, K08 AI083790]
  4. Alliance for Lupus Research
  5. Mary Kirkland Center for Lupus Research
  6. Lupus Research Institute
  7. Toys 'R Us Foundation
  8. S.L.E. Foundation, Inc.
  9. NIAID Clinical Research Loan Repayment [AI071651]
  10. Arthritis National Research Foundation
  11. University of Chicago [UL1 RR024999]
  12. France Chicago Center

向作者/读者索取更多资源

Dysregulation of the antiviral immune response may contribute to autoimmune diseases. Here, we hypothesized that altered expression or function of MAVS, a key molecule downstream of the viral sensors RIG-I and MDA-5, may impair antiviral cell signalling and thereby influence the risk for systemic lupus erythematosus (SLE), the prototype autoimmune disease. We used molecular techniques to screen non-synonymous single nucleotide polymorphisms (SNPs) in the MAVS gene for functional significance in human cell lines and identified one critical loss-of-function variant (C79F, rs11905552). This SNP substantially reduced expression of type I interferon (IFN) and other proinflammatory mediators and was found almost exclusively in the African-American population. Importantly, in African-American SLE patients, the C79F allele was associated with low type I IFN production and absence of anti-RNA-binding protein autoantibodies. These serologic associations were not related to a distinct, functionally neutral, MAVS SNP Q198K. Hence, this is the first demonstration that an uncommon genetic variant in the MAVS gene has a functional impact upon the anti-viral IFN pathway in vivo in humans and is associated with a novel sub-phenotype in SLE. This study demonstrates the utility of functional data in selecting rare variants for genetic association studies, allowing for fewer comparisons requiring statistical correction and for alternate lines of evidence implicating the particular variant in disease.

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