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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;...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
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.
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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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