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Genetic predictors of poor prognosis in Portuguese patients with Juvenile Idiopathic Arthritis: data from Reuma.pt

2015Journal article Open access
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dc.contributor.authorMourão, Ana
dc.contributor.authorSantos, Maria
dc.contributor.authorMendonça, Sílvia
dc.contributor.authorOliveira-Ramos, Filipa
dc.contributor.authorSalgado, Manuel
dc.contributor.authorEstanqueiro, Paula
dc.contributor.authorMelo-Gomes, José
dc.contributor.authorMartins, Fernando
dc.contributor.authorLopes, Ana
dc.contributor.authorBettencourt, Bruno Filipe
dc.contributor.authorBruges-Armas, Jácome
dc.contributor.authorCosta, José
dc.contributor.authorFurtado, Carolina
dc.contributor.authorFigueira, Ricardo
dc.contributor.authorBrito, Iva
dc.contributor.authorBranco, Jaime
dc.contributor.authorFonseca, João Eurico
dc.contributor.authorCanhao, Helena
dc.date.accessioned2022-03-15T16:55:29Z
dc.date.available2022-03-15T16:55:29Z
dc.date.issued2015
dc.descriptionCopyright © 2015 Ana Filipa Mourão et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.pt_PT
dc.description.abstractIntroduction: This study aimed to assess the genetic determinants of poor outcome in Portuguese patients with juvenile idiopathic arthritis (JIA). Methods: Our study was conducted in Reuma.pt, the Rheumatic Diseases Portuguese Register, which includes patients with JIA. We collected prospectively patient and disease characteristics and a blood sample for DNA analysis. Poor prognosis was defined as CHAQ/HAQ >0.75 at the last visit and/or the treatment with biological therapy. A selected panel of single nucleotide polymorphisms (SNPs) associated with susceptibility was studied to verify if there was association with poor prognosis. Results: Of the 812 patients with JIA registered in Reuma.pt, 267 had a blood sample and registered information used to define "poor prognosis." In univariate analysis, we found significant associations with poor prognosis for allele A of TNFA1P3/20 rs6920220, allele G of TRAF1/C5 rs3761847, and allele G of PTPN2 rs7234029. In multivariate models, the associations with TRAF1/C5 (1.96 [1.17-3.3]) remained significant at the 5% level, while TNFA1P3/20 and PTPN2 were no longer significant. Nevertheless, none of associations found was significant after the Bonferroni correction was applied. Conclusion: Our study does not confirm the association between a panel of selected SNP and poor prognosis in Portuguese patients with JIA.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJournal of immunology research, 706515.pt_PT
dc.identifier.doi10.1155/2015/706515pt_PT
dc.identifier.eissn2314-7156
dc.identifier.issn2314-8861
dc.identifier.urihttp://hdl.handle.net/10451/51759
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherHindawipt_PT
dc.relation.publisherversionhttps://www.hindawi.com/journals/jir/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleGenetic predictors of poor prognosis in Portuguese patients with Juvenile Idiopathic Arthritis: data from Reuma.ptpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleJournal of Immunology Researchpt_PT
person.familyNameSantos
person.familyNameFonseca
person.familyNameCanhao
person.givenNameMaria Jose
person.givenNameJoão
person.givenNameHelena
person.identifier.ciencia-id441A-CD98-8FD6
person.identifier.ciencia-idF310-B85D-57C7
person.identifier.orcid0000-0002-7946-1365
person.identifier.orcid0000-0003-1432-3671
person.identifier.orcid0000-0002-3239-2809
person.identifier.scopus-author-id7101983519
person.identifier.scopus-author-id6602393492
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication288e25e9-3f56-4cab-afff-0cda5478f1ba
relation.isAuthorOfPublication1772dc12-7c55-4c76-ae2d-c23270172480
relation.isAuthorOfPublication48f3be39-37f9-44de-9c7e-22e49a89efe5
relation.isAuthorOfPublication.latestForDiscovery48f3be39-37f9-44de-9c7e-22e49a89efe5

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