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Title: | 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. |
Authors: | López-Isac, Elena Martín, Jose-Ezequiel Assassi, Shervin Simeón, Carmen P Carreira, Patricia Ortego-Centeno, Norberto Freire, Mayka Beltrán, Emma Narváez, Javier Alegre-Sancho, Juan J Spanish Scleroderma Group Fernández-Gutiérrez, Benjamín Balsa, Alejandro Ortiz, Ana M González-Gay, Miguel A Beretta, Lorenzo Santaniello, Alessandro Bellocchi, Chiara Lunardi, Claudio Moroncini, Gianluca Gabrielli, Armando Witte, Torsten Hunzelmann, Nicolas Distler, Jörg H W Riekemasten, Gabriella van der Helm-van Mil, Annette H de Vries-Bouwstra, Jeska Magro-Checa, Cesar Voskuyl, Alexandre E Vonk, Madelon C Molberg, Øyvind Merriman, Tony Hesselstrand, Roger Nordin, Annika Padyukov, Leonid Herrick, Ariane Eyre, Steve Koeleman, Bobby P C Denton, Christopher P Fonseca, Carmen Radstake, Timothy R D J Worthington, Jane Mayes, Maureen D Martín, Javier |
metadata.dc.subject.mesh: | Arthritis, Rheumatoid Genetic Loci Genetic Predisposition to Disease Genome-Wide Association Study Humans Interferon Regulatory Factors Risk Factors Scleroderma, Systemic |
Issue Date: | 2016 |
Abstract: | 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. |
URI: | http://hdl.handle.net/10668/10022 |
metadata.dc.identifier.doi: | 10.1002/art.39730 |
Appears in Collections: | Producción 2020 |
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