Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.pt
Introduction. 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 pa...
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Wiley
2015-01-01
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| Series: | Journal of Immunology Research |
| Online Access: | http://dx.doi.org/10.1155/2015/706515 |
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| author | Ana Filipa Mourão Maria José Santos Sílvia Mendonça Filipa Oliveira-Ramos Manuel Salgado Paula Estanqueiro José Melo-Gomes Fernando Martins Ana Lopes Bruno Filipe Bettencourt Jácome Bruges-Armas José Costa Carolina Furtado Ricardo Figueira Iva Brito Jaime Branco João Eurico Fonseca Helena Canhão |
| author_facet | Ana Filipa Mourão Maria José Santos Sílvia Mendonça Filipa Oliveira-Ramos Manuel Salgado Paula Estanqueiro José Melo-Gomes Fernando Martins Ana Lopes Bruno Filipe Bettencourt Jácome Bruges-Armas José Costa Carolina Furtado Ricardo Figueira Iva Brito Jaime Branco João Eurico Fonseca Helena Canhão |
| author_sort | Ana Filipa Mourão |
| collection | DOAJ |
| description | Introduction. 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. |
| format | Article |
| id | doaj-art-57e95b37f1434fa79982057f3ada8f1c |
| institution | Kabale University |
| issn | 2314-8861 2314-7156 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
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| series | Journal of Immunology Research |
| spelling | doaj-art-57e95b37f1434fa79982057f3ada8f1c2025-02-03T01:31:49ZengWileyJournal of Immunology Research2314-88612314-71562015-01-01201510.1155/2015/706515706515Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.ptAna Filipa Mourão0Maria José Santos1Sílvia Mendonça2Filipa Oliveira-Ramos3Manuel Salgado4Paula Estanqueiro5José Melo-Gomes6Fernando Martins7Ana Lopes8Bruno Filipe Bettencourt9Jácome Bruges-Armas10José Costa11Carolina Furtado12Ricardo Figueira13Iva Brito14Jaime Branco15João Eurico Fonseca16Helena Canhão17Rheumatology Research Unit, Instituto de Medicina Molecular, 1649-028 Lisbon, PortugalRheumatology Research Unit, Instituto de Medicina Molecular, 1649-028 Lisbon, PortugalPortuguese Society of Rheumatology, 1800-033 Lisbon, PortugalRheumatology Department, Lisbon Academic Medical Center, 1649-028 Lisbon, PortugalPediatrics Department, Centro Universitário Hospitalar de Coimbra, 3041-801 Coimbra, PortugalPediatrics Department, Centro Universitário Hospitalar de Coimbra, 3041-801 Coimbra, PortugalPortuguese Society of Rheumatology, 1800-033 Lisbon, PortugalPortuguese Society of Rheumatology, 1800-033 Lisbon, PortugalRheumatology Research Unit, Instituto de Medicina Molecular, 1649-028 Lisbon, PortugalInstitute for Molecular and Cell Biology (IBMC), University of Porto, 4150-180 Porto, PortugalInstitute for Molecular and Cell Biology (IBMC), University of Porto, 4150-180 Porto, PortugalRheumatology Department, Hospital Conde de Bertiandos, ULSAM, 4990-041 Ponte de Lima, PortugalRheumatology Department, Hospital do Divino Espírito Santo, São Miguel, 9500-370 Açores, PortugalRheumatology Department, Hospital Dr. Nélio Mendonça, Funchal, 9004-514 Madeira, PortugalRheumatology Department, Hospital de São João, 4200-319 Porto, PortugalRheumatology Department, Hospital Egas Moniz, Centro Hospitalar Lisboa Ocidental, 1349-019 Lisbon, PortugalRheumatology Research Unit, Instituto de Medicina Molecular, 1649-028 Lisbon, PortugalRheumatology Research Unit, Instituto de Medicina Molecular, 1649-028 Lisbon, PortugalIntroduction. 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.http://dx.doi.org/10.1155/2015/706515 |
| spellingShingle | Ana Filipa Mourão Maria José Santos Sílvia Mendonça Filipa Oliveira-Ramos Manuel Salgado Paula Estanqueiro José Melo-Gomes Fernando Martins Ana Lopes Bruno Filipe Bettencourt Jácome Bruges-Armas José Costa Carolina Furtado Ricardo Figueira Iva Brito Jaime Branco João Eurico Fonseca Helena Canhão Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.pt Journal of Immunology Research |
| title | Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.pt |
| title_full | Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.pt |
| title_fullStr | Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.pt |
| title_full_unstemmed | Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.pt |
| title_short | Genetic Predictors of Poor Prognosis in Portuguese Patients with Juvenile Idiopathic Arthritis: Data from Reuma.pt |
| title_sort | genetic predictors of poor prognosis in portuguese patients with juvenile idiopathic arthritis data from reuma pt |
| url | http://dx.doi.org/10.1155/2015/706515 |
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