Basic Science

You have full text access to this OnlineOpen article

Association of giant cell arteritis and polymyalgia rheumatica with different tumor necrosis factor microsatellite polymorphisms

  1. Derek L. Mattey1,*,
  2. Ali H. Hajeer2,
  3. Adele Dababneh2,
  4. Wendy Thomson2,
  5. Miguel A. González-Gay3,
  6. Carlos García-Porrúa3,
  7. William E. R. Ollier2

Article first published online: 26 MAR 2001

DOI: 10.1002/1529-0131(200008)43:8<1749::AID-ANR11>3.0.CO;2-K

Issue

Arthritis & Rheumatism

Arthritis & Rheumatism

Volume 43, Issue 8, pages 1749–1755, August 2000

Additional Information

How to Cite

Mattey, D. L., Hajeer, A. H., Dababneh, A., Thomson, W., González-Gay, M. A., García-Porrúa, C. and Ollier, W. E. R. (2000), Association of giant cell arteritis and polymyalgia rheumatica with different tumor necrosis factor microsatellite polymorphisms. Arthritis & Rheumatism, 43: 1749–1755. doi: 10.1002/1529-0131(200008)43:8<1749::AID-ANR11>3.0.CO;2-K

Author Information

  1. 1

    Staffordshire Rheumatology Centre, Stoke-on-Trent, UK

  2. 2

    Manchester University Medical School, Manchester, UK

  3. 3

    Hospital Xeral-Calde, Lugo, Spain

*Staffordshire Rheumatology Centre, The Haywood, High Lane, Burslem, Stoke-on-Trent, Staffordshire ST6 7AG, UK

Publication History

  1. Issue published online: 26 MAR 2001
  2. Article first published online: 26 MAR 2001
  3. Manuscript Accepted: 11 APR 2000
  4. Manuscript Received: 7 DEC 1999

Funded by

  • Arthritis Research Campaign
  • Haywood Rheumatism Research and Development Foundation
  • European Commission. Grant Number: BMH4-CT96-0087

SEARCH

SEARCH BY CITATION

ARTICLE TOOLS

Get PDF (68K)

Abstract

Objective

To determine whether giant cell arteritis (GCA) and polymyalgia rheumatica (PMR) are associated with different tumor necrosis factor (TNF) microsatellite polymorphisms.

Methods

Typing of TNF microsatellite polymorphisms was carried out by molecular-based techniques on DNA obtained from a population sample of residents from Lugo, northwestern Spain. A case–control approach was used to compare 136 patients with GCA and/or PMR with 147 ethnically matched controls. The association of disease with TNF microsatellite polymorphisms was investigated using chi-square tests and multivariate logistic regression analyses.

Results

Different TNF microsatellite associations were found with GCA and PMR. In patients with isolated GCA, the primary association was with TNFa2, which was independent of the GCA associations with HLA–DRB1*0401 and *0101. A negative association was found with TNFa10. In patients with isolated PMR, there was a positive association with TNFb3. This was found to be independent of the HLA–DRB1*13/*14 association in isolated PMR. TNFd4 was negatively associated with isolated PMR. Forward stepwise logistic regression analyses indicated that the strongest association with GCA was provided by the TNFa2 allele, although DRB1*0401 and *0101 were still associated. PMR was primarily associated with TNFb3. A direct comparison of TNF allele frequencies between isolated GCA and isolated PMR indicated that the main difference between these conditions occurred in the frequency of TNFa10.

Conclusion

GCA and PMR in individuals from northwestern Spain are associated with different TNF microsatellite polymorphisms. The primary TNF associations (TNFa2 and TNFb3) appear to influence susceptibility to these conditions independent of any HLA–DRB1 association.

Get PDF (68K)