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Re-evaluation of putative rheumatoid arthritis susceptibility genes in the post-genome wide association study era and hypothesis of a key pathway underlying susceptibility

Authors :
Eleftheria Zeggini
Michael Weedon
Anne Hinks
Wendy Thomson
Patricia Munroe
Stephen Eyre
Andrew Hattersley
Elizabeth Hensor
Nadira Yusupovna Yuldasheva
Philip Conaghan
Gerome Breen
Hana Lango Allen
Jane Worthington
Ann Morgan
Professor David Dunger
Pille Harrison
Charlie Lees
Anne Barton
Lynne J Hocking
John Bowes
Anna Dominiczak
Cecilia Lindgren
Source :
Human Molecular Genetics
Publication Year :
2016

Abstract

Rheumatoid arthritis (RA) is an archetypal, common, complex autoimmune disease with both genetic and environmental contributions to disease aetiology. Two novel RA susceptibility loci have been reported from recent genome-wide and candidate gene association studies. We, therefore, investigated the evidence for association of the STAT4 and TRAF1/C5 loci with RA using imputed data from the Wellcome Trust Case Control Consortium (WTCCC). No evidence for association of variants mapping to the TRAF1/C5 gene was detected in the 1860 RA cases and 2930 control samples tested in that study. Variants mapping to the STAT4 gene did show evidence for association (rs7574865, P = 0.04). Given the association of the TRAF1/C5 locus in two previous large case-control series from populations of European descent and the evidence for association of the STAT4 locus in the WTCCC study, single nucleotide polymorphisms mapping to these loci were tested for association with RA in an independent UK series comprising DNA from >3000 cases with disease and >3000 controls and a combined analysis including the WTCCC data was undertaken. We confirm association of the STAT4 and the TRAF1/C5 loci with RA bringing to 5 the number of confirmed susceptibility loci. The effect sizes are less than those reported previously but are likely to be a more accurate reflection of the true effect size given the larger size of the cohort investigated in the current study.

Details

Language :
English
Database :
OpenAIRE
Journal :
Human Molecular Genetics
Accession number :
edsair.doi.dedup.....3aef4c6b66a342eb4e3fa28a2f73f8b9