Video: Every Case Tells a Story| Webinar: ACR/CHEST ILD Guidelines in Practice

An official publication of the ACR and the ARP serving rheumatologists and rheumatology professionals

  • Conditions
    • Axial Spondyloarthritis
    • Gout and Crystalline Arthritis
    • Myositis
    • Osteoarthritis and Bone Disorders
    • Pain Syndromes
    • Pediatric Conditions
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Sjögren’s Disease
    • Systemic Lupus Erythematosus
    • Systemic Sclerosis
    • Vasculitis
    • Other Rheumatic Conditions
  • FocusRheum
    • ANCA-Associated Vasculitis
    • Axial Spondyloarthritis
    • Gout
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Systemic Lupus Erythematosus
  • Guidance
    • Clinical Criteria/Guidelines
    • Ethics
    • Legal Updates
    • Legislation & Advocacy
    • Meeting Reports
      • ACR Convergence
      • Other ACR meetings
      • EULAR/Other
    • Research Rheum
  • Drug Updates
    • Analgesics
    • Biologics/DMARDs
  • Practice Support
    • Billing/Coding
    • EMRs
    • Facility
    • Insurance
    • QA/QI
    • Technology
    • Workforce
  • Opinion
    • Patient Perspective
    • Profiles
    • Rheuminations
      • Video
    • Speak Out Rheum
  • Career
    • ACR ExamRheum
    • Awards
    • Career Development
  • ACR
    • ACR Home
    • ACR Convergence
    • ACR Guidelines
    • Journals
      • ACR Open Rheumatology
      • Arthritis & Rheumatology
      • Arthritis Care & Research
    • From the College
    • Events/CME
    • President’s Perspective
  • Search

Reading Rheum

Maripat Corr, MD  |  Issue: December 2007  |  December 1, 2007

Results: We observed associations between disease and variants in the major-histocompatibility-complex locus, in PTPN22, and in a SNP (rs3761847) on chromosome 9 for all samples tested, the latter with an odds ratio of 1.32 (95% confidence interval, 1.23 to 1.42; p=4×10-14). The SNP is in linkage disequilibrium with two genes relevant to chronic inflammation: TRAF1 (encoding tumor necrosis factor (TNF) receptor-associated factor 1) and C5 (encoding complement component 5).

Conclusions: A common genetic variant at the TRAF1-C5 locus on chromosome 9 is associated with an increased risk of anti–CCP-positive RA.

ad goes here:advert-1
ADVERTISEMENT
SCROLL TO CONTINUE

Commentary

The genetic susceptibility of autoimmune disorders, including RA and SLE, has proven to be complex. In RA, the contribution of the human leukocyte antigen (HLA) locus, HLA-DRB1, has been well recognized and supported by family studies.1 Other previously reported susceptibility loci for RA include variants of the Protein Tyrosine Phosphatase N22 (PTPN22), Cytotoxic T-Lymphocyte Antigen 4 (CTLA-4), and peptidyl arginine deiminase, type IV (PADI4).2-4 As the scale of genome wide studies expands, finer resolution studies will likely uncover further loci with more modest effects. Recently, two articles have unveiled additional single nuclear polymorphisms (SNP) that are associated with susceptibility in RA.

Plenge et al. reported the results of a genome-wide association study using an anti–CCP-positive population of RA patients. Using a multistage study design with multiple sample sets, the authors confirmed the association around the HLA-DRB1 and PTPN22 loci. In addition, this study newly identified a 100-kb region on chromosome 9, containing TRAF1 (encoding tumor necrosis factor associated factor 1) and C5 (encoding complement component 5). Although both TRAF1 and C5 were interesting candidate genes, a single causal allele was not identified.

ad goes here:advert-2
ADVERTISEMENT
SCROLL TO CONTINUE

A separate linkage peak conferring susceptibility to RA had been previously identified in the long arm of chromosome 2 (2q) in genome-wide studies.5 Building on this finding, Remmers et al. undertook a large case-control disease-association analysis of 13 selected candidate genes within this chromosome 2q linkage region. They confirmed a SNP in CTLA4, with a known association, but also revealed an association with an unlinked SNP in STAT4 (encoding signal transducer and activator of transcription 4).

Further fine mapping of the STAT1-STAT4 region demonstrated an association with four SNPs in the third intron of the STAT4 gene. There was no difference between the anti–CCP-positive and -negative subgroups, and the effect was not attributable to the CTLA4 association in the same region. This region had also been reported to have an association with SLE.6,7 The authors went on to genotype three series of SLE case control subjects with European ancestry. They found a strong association with the STAT4 variant in all three series.

Page: 1 2 3 | Single Page
Share: 

Filed under:ConditionsResearch RheumRheumatoid ArthritisSystemic Lupus Erythematosus Tagged with:Clinical researchGenetic researchLupusReading RheumRheumatoid Arthritis (RA)

Related Articles

    Genome-Wide Association Studies of SLE

    February 12, 2011

    What do these studies tell us about disease mechanisms in lupus?

    Translating Genetic Discoveries into Rheumatic Therapies

    March 18, 2018

    SAN DIEGO—Will rheumatologists soon be able to use data from genetics and genome-wide association studies to more accurately predict disease and develop new therapies for rheumatic diseases? At a Nov. 5 session at the 2017 ACR/ARHP Annual Meeting, experts shared their views on how to glean this useful knowledge from genomics studies. The cost to develop…

    Experts Discuss the Latest Precision Medicine Research

    February 18, 2018

    SAN DIEGO—In just two decades, precision medicine has gone from futuristic concept to realistic toolbox for clinical physicians. At the 2017 ACR Clinical Research Conference on Nov. 3, the Precision Medicine in Rheumatic Diseases: Hopes and Challenges lecture featured rheumatologists and experts on genetics, genomics, pharmaco­genetics and big data who spoke about the latest research…

    Research Across the Spectrum

    September 1, 2009

    NIAMS director highlights innovative research initiatives

  • About Us
  • Meet the Editors
  • Issue Archives
  • Contribute
  • Advertise
  • Contact Us
  • Copyright © 2025 by John Wiley & Sons, Inc. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. ISSN 1931-3268 (print). ISSN 1931-3209 (online).
  • DEI Statement
  • Privacy Policy
  • Terms of Use
  • Cookie Preferences