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Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis
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 ref...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610685/ https://www.ncbi.nlm.nih.gov/pubmed/23555300 http://dx.doi.org/10.1371/journal.pgen.1003394 |
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author | Cui, Jing Stahl, Eli A. Saevarsdottir, Saedis Miceli, Corinne Diogo, Dorothee Trynka, Gosia Raj, Towfique Mirkov, Maša Umiċeviċ Canhao, Helena Ikari, Katsunori Terao, Chikashi Okada, Yukinori Wedrén, Sara Askling, Johan Yamanaka, Hisashi Momohara, Shigeki Taniguchi, Atsuo Ohmura, Koichiro Matsuda, Fumihiko Mimori, Tsuneyo Gupta, Namrata Kuchroo, Manik Morgan, Ann W. Isaacs, John D. Wilson, Anthony G. Hyrich, Kimme L. Herenius, Marieke Doorenspleet, Marieke E. Tak, Paul-Peter Crusius, J. Bart A. van der Horst-Bruinsma, Irene E. Wolbink, Gert Jan van Riel, Piet L. C. M. van de Laar, Mart Guchelaar, Henk-Jan Shadick, Nancy A. Allaart, Cornelia F. Huizinga, Tom W. J. Toes, Rene E. M. Kimberly, Robert P. Bridges, S. Louis Criswell, Lindsey A. Moreland, Larry W. Fonseca, João Eurico de Vries, Niek Stranger, Barbara E. De Jager, Philip L. Raychaudhuri, Soumya Weinblatt, Michael E. Gregersen, Peter K. Mariette, Xavier Barton, Anne Padyukov, Leonid Coenen, Marieke J. H. Karlson, Elizabeth W. Plenge, Robert M. |
author_facet | Cui, Jing Stahl, Eli A. Saevarsdottir, Saedis Miceli, Corinne Diogo, Dorothee Trynka, Gosia Raj, Towfique Mirkov, Maša Umiċeviċ Canhao, Helena Ikari, Katsunori Terao, Chikashi Okada, Yukinori Wedrén, Sara Askling, Johan Yamanaka, Hisashi Momohara, Shigeki Taniguchi, Atsuo Ohmura, Koichiro Matsuda, Fumihiko Mimori, Tsuneyo Gupta, Namrata Kuchroo, Manik Morgan, Ann W. Isaacs, John D. Wilson, Anthony G. Hyrich, Kimme L. Herenius, Marieke Doorenspleet, Marieke E. Tak, Paul-Peter Crusius, J. Bart A. van der Horst-Bruinsma, Irene E. Wolbink, Gert Jan van Riel, Piet L. C. M. van de Laar, Mart Guchelaar, Henk-Jan Shadick, Nancy A. Allaart, Cornelia F. Huizinga, Tom W. J. Toes, Rene E. M. Kimberly, Robert P. Bridges, S. Louis Criswell, Lindsey A. Moreland, Larry W. Fonseca, João Eurico de Vries, Niek Stranger, Barbara E. De Jager, Philip L. Raychaudhuri, Soumya Weinblatt, Michael E. Gregersen, Peter K. Mariette, Xavier Barton, Anne Padyukov, Leonid Coenen, Marieke J. H. Karlson, Elizabeth W. Plenge, Robert M. |
author_sort | Cui, Jing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3610685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36106852013-04-03 Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis Cui, Jing Stahl, Eli A. Saevarsdottir, Saedis Miceli, Corinne Diogo, Dorothee Trynka, Gosia Raj, Towfique Mirkov, Maša Umiċeviċ Canhao, Helena Ikari, Katsunori Terao, Chikashi Okada, Yukinori Wedrén, Sara Askling, Johan Yamanaka, Hisashi Momohara, Shigeki Taniguchi, Atsuo Ohmura, Koichiro Matsuda, Fumihiko Mimori, Tsuneyo Gupta, Namrata Kuchroo, Manik Morgan, Ann W. Isaacs, John D. Wilson, Anthony G. Hyrich, Kimme L. Herenius, Marieke Doorenspleet, Marieke E. Tak, Paul-Peter Crusius, J. Bart A. van der Horst-Bruinsma, Irene E. Wolbink, Gert Jan van Riel, Piet L. C. M. van de Laar, Mart Guchelaar, Henk-Jan Shadick, Nancy A. Allaart, Cornelia F. Huizinga, Tom W. J. Toes, Rene E. M. Kimberly, Robert P. Bridges, S. Louis Criswell, Lindsey A. Moreland, Larry W. Fonseca, João Eurico de Vries, Niek Stranger, Barbara E. De Jager, Philip L. Raychaudhuri, Soumya Weinblatt, Michael E. Gregersen, Peter K. Mariette, Xavier Barton, Anne Padyukov, Leonid Coenen, Marieke J. H. Karlson, Elizabeth W. Plenge, Robert M. PLoS Genet Research Article 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. Public Library of Science 2013-03-28 /pmc/articles/PMC3610685/ /pubmed/23555300 http://dx.doi.org/10.1371/journal.pgen.1003394 Text en © 2013 Cui et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Cui, Jing Stahl, Eli A. Saevarsdottir, Saedis Miceli, Corinne Diogo, Dorothee Trynka, Gosia Raj, Towfique Mirkov, Maša Umiċeviċ Canhao, Helena Ikari, Katsunori Terao, Chikashi Okada, Yukinori Wedrén, Sara Askling, Johan Yamanaka, Hisashi Momohara, Shigeki Taniguchi, Atsuo Ohmura, Koichiro Matsuda, Fumihiko Mimori, Tsuneyo Gupta, Namrata Kuchroo, Manik Morgan, Ann W. Isaacs, John D. Wilson, Anthony G. Hyrich, Kimme L. Herenius, Marieke Doorenspleet, Marieke E. Tak, Paul-Peter Crusius, J. Bart A. van der Horst-Bruinsma, Irene E. Wolbink, Gert Jan van Riel, Piet L. C. M. van de Laar, Mart Guchelaar, Henk-Jan Shadick, Nancy A. Allaart, Cornelia F. Huizinga, Tom W. J. Toes, Rene E. M. Kimberly, Robert P. Bridges, S. Louis Criswell, Lindsey A. Moreland, Larry W. Fonseca, João Eurico de Vries, Niek Stranger, Barbara E. De Jager, Philip L. Raychaudhuri, Soumya Weinblatt, Michael E. Gregersen, Peter K. Mariette, Xavier Barton, Anne Padyukov, Leonid Coenen, Marieke J. H. Karlson, Elizabeth W. Plenge, Robert M. Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis |
title | Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis |
title_full | Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis |
title_fullStr | Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis |
title_full_unstemmed | Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis |
title_short | Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis |
title_sort | genome-wide association study and gene expression analysis identifies cd84 as a predictor of response to etanercept therapy in rheumatoid arthritis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610685/ https://www.ncbi.nlm.nih.gov/pubmed/23555300 http://dx.doi.org/10.1371/journal.pgen.1003394 |
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