Abstract
Objective: 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. Methods: 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. Results: This cross-disease meta-analysis of the GWAS data sets identified several loci with nominal association signals (P < 5 × 10−6) that also showed evidence of association in the disease-specific GWAS scans. These loci included several genomic regions not previously reported as shared loci, as well as several risk factors that were previously found to be associated with both diseases. Follow-up analyses of the putatively new SSc–RA loci identified IRF4 as a shared risk factor for these 2 diseases (Pcombined = 3.29 × 10−12). Analysis of the biologic relevance of the known SSc–RA shared loci identified the type I interferon and interleukin-12 signaling pathways as the main common etiologic factors. Conclusion: 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.
| Original language | English |
|---|---|
| Pages (from-to) | 2338-2344 |
| Number of pages | 7 |
| Journal | Arthritis and Rheumatology |
| Volume | 68 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - Sep 1 2016 |
Fingerprint
ASJC Scopus subject areas
- Immunology and Allergy
- Rheumatology
- Immunology
Cite this
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. / 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.; 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; Ríos, Raquel; Callejas, Jose Luis; Hitos, José Antonio Vargas; Portales, Rosa García; Camps, María Teresa; Fernández-Nebro, Antonio; González-Escribano, María F.; the Spanish Scleroderma Group.
In: Arthritis and Rheumatology, Vol. 68, No. 9, 01.09.2016, p. 2338-2344.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Brief Report
T2 - 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
AU - López-Isac, Elena
AU - Martín, Jose Ezequiel
AU - Assassi, Shervin
AU - Simeón, Carmen P.
AU - Carreira, Patricia
AU - Ortego-Centeno, Norberto
AU - Freire, Mayka
AU - Beltrán, Emma
AU - Narváez, Javier
AU - Alegre-Sancho, Juan J.
AU - Fernández-Gutiérrez, Benjamín
AU - Balsa, Alejandro
AU - Ortiz, Ana M.
AU - González-Gay, Miguel A.
AU - Beretta, Lorenzo
AU - Santaniello, Alessandro
AU - Bellocchi, Chiara
AU - Lunardi, Claudio
AU - Moroncini, Gianluca
AU - Gabrielli, Armando
AU - Witte, Torsten
AU - Hunzelmann, Nicolas
AU - Distler, Jörg H W
AU - Riekemasten, Gabriella
AU - van der Helm-van Mil, Annette H.
AU - de Vries-Bouwstra, Jeska
AU - Magro-Checa, Cesar
AU - Voskuyl, Alexandre E.
AU - Vonk, Madelon C.
AU - Molberg, Øyvind
AU - Merriman, Tony
AU - Hesselstrand, Roger
AU - Nordin, Annika
AU - Padyukov, Leonid
AU - Herrick, Ariane
AU - Eyre, Steve
AU - Koeleman, Bobby P C
AU - Denton, Christopher P.
AU - Fonseca, Carmen
AU - Radstake, Timothy R D J
AU - Worthington, Jane
AU - Mayes, Maureen D.
AU - Martín, Javier
AU - Ríos, Raquel
AU - Callejas, Jose Luis
AU - Hitos, José Antonio Vargas
AU - Portales, Rosa García
AU - Camps, María Teresa
AU - Fernández-Nebro, Antonio
AU - González-Escribano, María F.
AU - the Spanish Scleroderma Group
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Objective: 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. Methods: 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. Results: This cross-disease meta-analysis of the GWAS data sets identified several loci with nominal association signals (P < 5 × 10−6) that also showed evidence of association in the disease-specific GWAS scans. These loci included several genomic regions not previously reported as shared loci, as well as several risk factors that were previously found to be associated with both diseases. Follow-up analyses of the putatively new SSc–RA loci identified IRF4 as a shared risk factor for these 2 diseases (Pcombined = 3.29 × 10−12). Analysis of the biologic relevance of the known SSc–RA shared loci identified the type I interferon and interleukin-12 signaling pathways as the main common etiologic factors. Conclusion: 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.
AB - Objective: 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. Methods: 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. Results: This cross-disease meta-analysis of the GWAS data sets identified several loci with nominal association signals (P < 5 × 10−6) that also showed evidence of association in the disease-specific GWAS scans. These loci included several genomic regions not previously reported as shared loci, as well as several risk factors that were previously found to be associated with both diseases. Follow-up analyses of the putatively new SSc–RA loci identified IRF4 as a shared risk factor for these 2 diseases (Pcombined = 3.29 × 10−12). Analysis of the biologic relevance of the known SSc–RA shared loci identified the type I interferon and interleukin-12 signaling pathways as the main common etiologic factors. Conclusion: 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.
UR - http://www.scopus.com/inward/record.url?scp=84983503786&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84983503786&partnerID=8YFLogxK
U2 - 10.1002/art.39730
DO - 10.1002/art.39730
M3 - Article
VL - 68
SP - 2338
EP - 2344
JO - Arthritis and Rheumatology
JF - Arthritis and Rheumatology
SN - 2326-5191
IS - 9
ER -