Overlapping genetic susceptibility variants between three autoimmune disorders: rheumatoid arthritis, type 1 diabetes and coeliac disease |
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Authors: | Stephen Eyre Anne Hinks John Bowes Edward Flynn Paul Martin Anthony G Wilson Ann W Morgan Paul Emery Sophia Steer Lynne J Hocking David M Reid Pille Harrison Paul Wordsworth Wendy Thomson Jane Worthington Anne Barton |
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Affiliation: | 1. Arthritis Research UK-Epidemiology Unit, Stopford Building, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK 2. School of Medicine & Biomedical Sciences, Sheffield University, Beech Hill Road, Sheffield, S10 2JF, UK 3. NIHR-Leeds Musculoskeletal Biomedical Research Unit, Leeds Institute of Molecular Medicine, University of Leeds, Beckett Street, Leeds, LS2 9JT, UK 4. Clinical and Academic Rheumatology, Kings College Hospital NHS Foundation Trust, Denmark Hill, London, SE5 9RS, UK 5. Musculoskeletal and Genetics Section, Division of Applied Medicine, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK 6. Botnar Research Centre, University of Oxford Institute of Musculoskeletal Sciences, Windmill Road, Oxford, OX3 7LD, UK
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Abstract: | Introduction Genome wide association studies, replicated by numerous well powered validation studies, have revealed a large number of loci likely to play a role in susceptibility to many multifactorial diseases. It is now well established that some of these loci are shared between diseases with similar aetiology. For example, a number of autoimmune diseases have been associated with variants in the PTPN22, TNFAIP3 and CTLA4 genes. Here we have attempted to define overlapping genetic variants between rheumatoid arthritis (RA), type 1 diabetes (T1D) and coeliac disease (CeD). Methods We selected eight SNPs previously identified as being associated with CeD and six T1D-associated SNPs for validation in a sample of 3,962 RA patients and 3,531 controls. Genotyping was performed using the Sequenom MassArray platform and comparison of genotype and allele frequencies between cases and controls was undertaken. A trend test P-value < 0.004 was regarded as significant. Results We found statistically significant evidence for association of the TAGAP locus with RA (P = 5.0 × 10-4). A marker at one other locus, C1QTNF6, previously associated with T1D, showed nominal association with RA in the current study but did not remain statistically significant at the corrected threshold. Conclusions In exploring the overlap between T1D, CeD and RA, there is strong evidence that variation within the TAGAP gene is associated with all three autoimmune diseases. Interestingly a number of loci appear to be specific to one of the three diseases currently studied suggesting that they may play a role in determining the particular autoimmune phenotype at presentation. |
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