Cargando…

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

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 sim...

Descripción completa

Detalles Bibliográficos
Autores principales: Eyre, Stephen, Hinks, Anne, Bowes, John, Flynn, Edward, Martin, Paul, Wilson, Anthony G, Morgan, Ann W, Emery, Paul, Steer, Sophia, Hocking, Lynne J, Reid, David M, Harrison, Pille, Wordsworth, Paul, Thomson, Wendy, Worthington, Jane, Barton, Anne
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2991006/
https://www.ncbi.nlm.nih.gov/pubmed/20854658
http://dx.doi.org/10.1186/ar3139
Descripción
Sumario: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.