Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis

Jing Cui(Harvard University), Eli A. Stahl(Broad Institute), Saedís Saevarsdóttir(Karolinska University Hospital), Corinne Miceli‐Richard(Assistance Publique – Hôpitaux de Paris), Dorothée Diogo(Harvard University), Gosia Trynka(Brigham and Women's Hospital), Towfique Raj(Harvard University), Maša Umićević Mirkov(Radboud University Nijmegen), Helena Canhão(University of Lisbon), Katsunori Ikari(Tokyo Women's Medical University), Chikashi Terao(Kyoto University), Yukinori Okada(Brigham and Women's Hospital), Sara Wedrén(Karolinska University Hospital), Johan Askling(Karolinska Institutet), Hisashi Yamanaka(Tokyo Women's Medical University), Shigeki Momohara(Tokyo Women's Medical University), Atsuo Taniguchi(Tokyo Women's Medical University), Koichiro Ohmura(Kyoto University), Fumihiko Matsuda(Kyoto University), Tsuneyo Mimori(Kyoto University), Namrata Gupta(Broad Institute), Manik Kuchroo(Brigham and Women's Hospital), Ann W Morgan(University of Leeds), John D. Isaacs, Anthony G. Wilson(University of Sheffield), Kimme L Hyrich(University of Manchester), Marieke M. J. Herenius(Academic Medical Center), Marieke E. Doorenspleet(University of Amsterdam), Paul‐Peter Tak(University of Amsterdam), J. Bart A. Crusius(Vrije Universiteit Amsterdam), Irene E. van der Horst‐Bruinsma(Vrije Universiteit Amsterdam), Gertjan Wolbink(Academic Medical Center), Piet L. C. M. van Riel(Radboud University Medical Center), Mart van de Laar(Medisch Spectrum Twente), Henk‐Jan Guchelaar(Leiden University Medical Center), Nancy A. Shadick(Brigham and Women's Hospital), Cornelia F Allaart(Leiden University Medical Center), T. Huizinga(Leiden University Medical Center), René E. M. Toes(Leiden University Medical Center), Robert P. Kimberly(University of Alabama at Birmingham), S. Louis Bridges(University of Alabama at Birmingham), Lindsey A. Criswell(University of California, San Francisco), Larry W. Moreland(University of Pittsburgh), João Eurico Fonseca(University of Lisbon), Niek de Vries(University of Amsterdam), Barbara E. Stranger(Harvard University), Philip L. De Jager(Broad Institute), Soumya Raychaudhuri(Manchester Academic Health Science Centre), Michael E. Weinblatt(Harvard University), Peter K. Gregersen(Northwell Health), Xavier Mariette(Inserm), Anne Barton(University of Manchester), Leonid Padyukov(Karolinska Institutet), Marieke J. H. Coenen(Radboud University Medical Center), Elizabeth W. Karlson(Brigham and Women's Hospital), Robert M. Plenge(Broad Institute)
PLoS Genetics
March 28, 2013
Cited by 163Open Access
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Abstract

Anti-tumor necrosis factor alpha (anti-TNF) biologic therapy is a widely used treatment for rheumatoid arthritis (RA). It is unknown why some RA patients fail to respond adequately to anti-TNF therapy, which limits the development of clinical biomarkers to predict response or new drugs to target refractory cases. To understand the biological basis of response to anti-TNF therapy, we conducted a genome-wide association study (GWAS) meta-analysis of more than 2 million common variants in 2,706 RA patients from 13 different collections. Patients were treated with one of three anti-TNF medications: etanercept (n = 733), infliximab (n = 894), or adalimumab (n = 1,071). We identified a SNP (rs6427528) at the 1q23 locus that was associated with change in disease activity score (ΔDAS) in the etanercept subset of patients (P = 8 × 10(-8)), but not in the infliximab or adalimumab subsets (P>0.05). The SNP is predicted to disrupt transcription factor binding site motifs in the 3' UTR of an immune-related gene, CD84, and the allele associated with better response to etanercept was associated with higher CD84 gene expression in peripheral blood mononuclear cells (P = 1 × 10(-11) in 228 non-RA patients and P = 0.004 in 132 RA patients). Consistent with the genetic findings, higher CD84 gene expression correlated with lower cross-sectional DAS (P = 0.02, n = 210) and showed a non-significant trend for better ΔDAS in a subset of RA patients with gene expression data (n = 31, etanercept-treated). A small, multi-ethnic replication showed a non-significant trend towards an association among etanercept-treated RA patients of Portuguese ancestry (n = 139, P = 0.4), but no association among patients of Japanese ancestry (n = 151, P = 0.8). Our study demonstrates that an allele associated with response to etanercept therapy is also associated with CD84 gene expression, and further that CD84 expression correlates with disease activity. These findings support a model in which CD84 genotypes and/or expression may serve as a useful biomarker for response to etanercept treatment in RA patients of European ancestry.


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