%0 Journal Article
%A López-Isac, Elena
%A Martín, Jose-Ezequiel
%A Assassi, Shervin
%A Simeón, Carmen P
%A Carreira, Patricia
%A Ortego-Centeno, Norberto
%A Freire, Mayka
%A Beltrán, Emma
%A Narváez, Javier
%A Alegre-Sancho, Juan J
%A Spanish Scleroderma Group
%A Fernández-Gutiérrez, Benjamín
%A Balsa, Alejandro
%A Ortiz, Ana M
%A González-Gay, Miguel A
%A Beretta, Lorenzo
%A Santaniello, Alessandro
%A Bellocchi, Chiara
%A Lunardi, Claudio
%A Moroncini, Gianluca
%A Gabrielli, Armando
%A Witte, Torsten
%A Hunzelmann, Nicolas
%A Distler, Jörg H W
%A Riekemasten, Gabriella
%A van der Helm-van Mil, Annette H
%A de Vries-Bouwstra, Jeska
%A Magro-Checa, Cesar
%A Voskuyl, Alexandre E
%A Vonk, Madelon C
%A Molberg, Øyvind
%A Merriman, Tony
%A Hesselstrand, Roger
%A Nordin, Annika
%A Padyukov, Leonid
%A Herrick, Ariane
%A Eyre, Steve
%A Koeleman, Bobby P C
%A Denton, Christopher P
%A Fonseca, Carmen
%A Radstake, Timothy R D J
%A Worthington, Jane
%A Mayes, Maureen D
%A Martín, Javier
%T Brief Report: IRF4 Newly Identified as a Common Susceptibility Locus for Systemic Sclerosis and Rheumatoid Arthritis in a Cross-Disease Meta-Analysis of Genome-Wide Association Studies.
%D 2016
%U http://hdl.handle.net/10668/10022
%X Systemic sclerosis (SSc) and rheumatoid arthritis (RA) are autoimmune diseases that have similar clinical and immunologic characteristics. To date, several shared SSc-RA genetic loci have been identified independently. The aim of the current study was to systematically search for new common SSc-RA loci through an interdisease meta-genome-wide association (meta-GWAS) strategy. The study was designed as a meta-analysis combining GWAS data sets of patients with SSc and patients with RA, using a strategy that allowed identification of loci with both same-direction and opposite-direction allelic effects. The top single-nucleotide polymorphisms were followed up in independent SSc and RA case-control cohorts. This allowed an increase in the sample size to a total of 8,830 patients with SSc, 16,870 patients with RA, and 43,393 healthy controls. This cross-disease meta-analysis of the GWAS data sets identified several loci with nominal association signals (P  This study identified a novel shared locus, IRF4, for the risk of SSc and RA, and highlighted the usefulness of a cross-disease GWAS meta-analysis strategy in the identification of common risk loci.
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