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Overlapping genetic susceptibility variants between three autoimmune disorders: rheumatoid arthritis, type 1 diabetes and coeliac disease
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
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
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.
Keywords:
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