Literature DB >> 9550467

A genome-wide screen for susceptibility loci in ankylosing spondylitis.

M A Brown1, K D Pile, L G Kennedy, D Campbell, L Andrew, R March, J L Shatford, D E Weeks, A Calin, B P Wordsworth.   

Abstract

OBJECTIVE: To localize the regions containing genes that determine susceptibility to ankylosing spondylitis (AS).
METHODS: One hundred five white British families with 121 affected sibling pairs with AS were recruited, largely from the Royal National Hospital for Rheumatic Diseases AS database. A genome-wide linkage screen was undertaken using 254 highly polymorphic microsatellite markers from the Medical Research Council (UK) (MRC) set. The major histocompatibility complex (MHC) region was studied more intensively using 5 microsatellites lying within the HLA class III region and HLA-DRB1 typing. The Analyze package was used for 2-point analysis, and GeneHunter for multipoint analysis.
RESULTS: When only the MRC set was considered, 11 markers in 7 regions achieved a P value of < or =0.01. The maximum logarithm of odds score obtained was 3.8 (P = 1.4 x 10(-5)) using marker D6S273, which lies in the HLA class III region. A further marker used in mapping of the MHC class III region achieved a LOD score of 8.1 (P = 1 x 10(-9)). Nine of 118 affected sibling pairs (7.6%) did not share parental haplotypes identical by descent across the MHC, suggesting that only 31% of the susceptibility to AS is coded by genes linked to the MHC. The maximum non-MHC LOD score obtained was 2.6 (P = 0.0003) for marker D16S422.
CONCLUSION: The results of this study confirm the strong linkage of the MHC with AS, and provide suggestive evidence regarding the presence and location of non-MHC genes influencing susceptibility to the disease.

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Year:  1998        PMID: 9550467     DOI: 10.1002/1529-0131(199804)41:4<588::AID-ART5>3.0.CO;2-0

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  31 in total

1.  Recurrence risk modelling of the genetic susceptibility to ankylosing spondylitis.

Authors:  M A Brown; S H Laval; S Brophy; A Calin
Journal:  Ann Rheum Dis       Date:  2000-11       Impact factor: 19.103

2.  Genomewide scans of complex human diseases: true linkage is hard to find.

Authors:  J Altmüller; L J Palmer; G Fischer; H Scherb; M Wjst
Journal:  Am J Hum Genet       Date:  2001-09-14       Impact factor: 11.025

Review 3.  Immunological basis of Chlamydia induced reactive arthritis.

Authors:  J S Gaston
Journal:  Sex Transm Infect       Date:  2000-06       Impact factor: 3.519

Review 4.  An update on the genetics of HLA B27-associated acute anterior uveitis.

Authors:  Tammy M Martin; James T Rosenbaum
Journal:  Ocul Immunol Inflamm       Date:  2011-04       Impact factor: 3.070

5.  Novel non-HLA-susceptible regions determined by meta-analysis of four genomewide scans for ankylosing spondylitis.

Authors:  Jinxian Huang; Chao Li; Haixia Xu; Jieruo Gu
Journal:  J Genet       Date:  2008-04       Impact factor: 1.166

6.  Whole-genome screening in ankylosing spondylitis: evidence of non-MHC genetic-susceptibility loci.

Authors:  S H Laval; A Timms; S Edwards; L Bradbury; S Brophy; A Milicic; L Rubin; K A Siminovitch; D E Weeks; A Calin; B P Wordsworth; M A Brown
Journal:  Am J Hum Genet       Date:  2001-02-27       Impact factor: 11.025

Review 7.  Genetics of ankylosing spondylitis--insights into pathogenesis.

Authors:  Matthew A Brown; Tony Kenna; B Paul Wordsworth
Journal:  Nat Rev Rheumatol       Date:  2015-10-06       Impact factor: 20.543

Review 8.  Experimental spondyloarthropathies: animal models of ankylosing spondylitis.

Authors:  Vyacheslav A Adarichev; Tibor T Glant
Journal:  Curr Rheumatol Rep       Date:  2006-08       Impact factor: 4.592

9.  What epidemiology has told us about risk factors and aetiopathogenesis in rheumatic diseases.

Authors:  Jacqueline E Oliver; Alan J Silman
Journal:  Arthritis Res Ther       Date:  2009-05-19       Impact factor: 5.156

10.  Association of chromosome 2q36.1-36.3 and autosomal dominant transmission in ankylosing spondylitis: results of genetic studies across generations of Han Chinese families.

Authors:  J Gu; J Huang; C Li; L Zhao; F Huang; Z Liao; T Li; Q Wei; Z Lin; Y Pan; J Huang; X Wang; Q Lin; C Lu; Y Wu; S Cao; J Wu; H Xu; B Yu; Y Shen
Journal:  J Med Genet       Date:  2009-05-04       Impact factor: 6.318

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