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Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases
BACKGROUND: Previous studies of radiological damage in rheumatoid arthritis (RA) have used candidate-gene approaches, or evaluated single genome-wide association studies (GWAS). We undertook the first meta-analysis of GWAS of RA radiological damage to: (1) identify novel genetic loci for this trait;...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785117/ https://www.ncbi.nlm.nih.gov/pubmed/31596875 http://dx.doi.org/10.1371/journal.pone.0223246 |
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author | Traylor, Matthew Knevel, Rachel Cui, Jing Taylor, John Harm-Jan, Westra Conaghan, Philip G. Cope, Andrew P. Curtis, Charles Emery, Paul Newhouse, Stephen Patel, Hamel Steer, Sophia Gregersen, Peter Shadick, Nancy A. Weinblatt, Michael E. Van Der Helm-van Mil, Annette Barrett, Jennifer H. Morgan, Ann W. Lewis, Cathryn M. Scott, Ian C. |
author_facet | Traylor, Matthew Knevel, Rachel Cui, Jing Taylor, John Harm-Jan, Westra Conaghan, Philip G. Cope, Andrew P. Curtis, Charles Emery, Paul Newhouse, Stephen Patel, Hamel Steer, Sophia Gregersen, Peter Shadick, Nancy A. Weinblatt, Michael E. Van Der Helm-van Mil, Annette Barrett, Jennifer H. Morgan, Ann W. Lewis, Cathryn M. Scott, Ian C. |
author_sort | Traylor, Matthew |
collection | PubMed |
description | BACKGROUND: Previous studies of radiological damage in rheumatoid arthritis (RA) have used candidate-gene approaches, or evaluated single genome-wide association studies (GWAS). We undertook the first meta-analysis of GWAS of RA radiological damage to: (1) identify novel genetic loci for this trait; and (2) test previously validated variants. METHODS: Seven GWAS (2,775 RA cases, of a range of ancestries) were combined in a meta-analysis. Radiological damage was assessed using modified Larsen scores, Sharp van Der Heijde scores, and erosive status. Single nucleotide polymophsim (SNP) associations with radiological damage were tested at a single time-point using regression models. Primary analyses included age and disease duration as covariates. Secondary analyses also included rheumatoid factor (RF). Meta-analyses were undertaken in trans-ethnic and European-only cases. RESULTS: In the trans-ethnic primary meta-analysis, one SNP (rs112112734) in close proximity to HLA-DRB1, and strong linkage disequilibrium with the shared-epitope, attained genome-wide significance (P = 4.2x10(-8)). In the secondary analysis (adjusting for RF) the association was less significant (P = 1.7x10(-6)). In both trans-ethnic primary and secondary meta-analyses 14 regions contained SNPs with associations reaching P<5x10(-6); in the European primary and secondary analyses 13 and 10 regions contained SNPs reaching P<5x10(-6), respectively. Of the previously validated SNPs for radiological progression, only rs660895 (tagging HLA-DRB1*04:01) attained significance (P = 1.6x10(-5)) and had a consistent direction of effect across GWAS. CONCLUSIONS: Our meta-analysis confirms the known association between the HLA-DRB1 shared epitope and RA radiological damage. The lack of replication of previously validated non-HLA markers highlights a requirement for further research to deliver clinically-useful prognostic genetic markers. |
format | Online Article Text |
id | pubmed-6785117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67851172019-10-19 Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases Traylor, Matthew Knevel, Rachel Cui, Jing Taylor, John Harm-Jan, Westra Conaghan, Philip G. Cope, Andrew P. Curtis, Charles Emery, Paul Newhouse, Stephen Patel, Hamel Steer, Sophia Gregersen, Peter Shadick, Nancy A. Weinblatt, Michael E. Van Der Helm-van Mil, Annette Barrett, Jennifer H. Morgan, Ann W. Lewis, Cathryn M. Scott, Ian C. PLoS One Research Article BACKGROUND: Previous studies of radiological damage in rheumatoid arthritis (RA) have used candidate-gene approaches, or evaluated single genome-wide association studies (GWAS). We undertook the first meta-analysis of GWAS of RA radiological damage to: (1) identify novel genetic loci for this trait; and (2) test previously validated variants. METHODS: Seven GWAS (2,775 RA cases, of a range of ancestries) were combined in a meta-analysis. Radiological damage was assessed using modified Larsen scores, Sharp van Der Heijde scores, and erosive status. Single nucleotide polymophsim (SNP) associations with radiological damage were tested at a single time-point using regression models. Primary analyses included age and disease duration as covariates. Secondary analyses also included rheumatoid factor (RF). Meta-analyses were undertaken in trans-ethnic and European-only cases. RESULTS: In the trans-ethnic primary meta-analysis, one SNP (rs112112734) in close proximity to HLA-DRB1, and strong linkage disequilibrium with the shared-epitope, attained genome-wide significance (P = 4.2x10(-8)). In the secondary analysis (adjusting for RF) the association was less significant (P = 1.7x10(-6)). In both trans-ethnic primary and secondary meta-analyses 14 regions contained SNPs with associations reaching P<5x10(-6); in the European primary and secondary analyses 13 and 10 regions contained SNPs reaching P<5x10(-6), respectively. Of the previously validated SNPs for radiological progression, only rs660895 (tagging HLA-DRB1*04:01) attained significance (P = 1.6x10(-5)) and had a consistent direction of effect across GWAS. CONCLUSIONS: Our meta-analysis confirms the known association between the HLA-DRB1 shared epitope and RA radiological damage. The lack of replication of previously validated non-HLA markers highlights a requirement for further research to deliver clinically-useful prognostic genetic markers. Public Library of Science 2019-10-09 /pmc/articles/PMC6785117/ /pubmed/31596875 http://dx.doi.org/10.1371/journal.pone.0223246 Text en © 2019 Traylor 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Traylor, Matthew Knevel, Rachel Cui, Jing Taylor, John Harm-Jan, Westra Conaghan, Philip G. Cope, Andrew P. Curtis, Charles Emery, Paul Newhouse, Stephen Patel, Hamel Steer, Sophia Gregersen, Peter Shadick, Nancy A. Weinblatt, Michael E. Van Der Helm-van Mil, Annette Barrett, Jennifer H. Morgan, Ann W. Lewis, Cathryn M. Scott, Ian C. Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases |
title | Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases |
title_full | Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases |
title_fullStr | Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases |
title_full_unstemmed | Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases |
title_short | Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases |
title_sort | genetic associations with radiological damage in rheumatoid arthritis: meta-analysis of seven genome-wide association studies of 2,775 cases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785117/ https://www.ncbi.nlm.nih.gov/pubmed/31596875 http://dx.doi.org/10.1371/journal.pone.0223246 |
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