AB0016 Retrospective Cohort Study of Systemic Lupus Erythematosus and Disease Subphenotypes in European Populations: Results from Gapaid Project
BackgroundThe GAPAID (Genes And Proteins for AutoImmunity Diagnostics) consortium was created within the European Union's Seventh Framework Programme for Research and Technological Development (FP7), with the aim of validating gene and protein biomarkers for autoimmune diseases such as systemic...
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creator | Ruiz-Larrañaga, O. Migliorini, P. Uribarri, M. Czirják, L. Alcaro, M.C. del Amo, J. Iriondo, M. Escorza-Treviño, S. Estonba, A. |
description | BackgroundThe GAPAID (Genes And Proteins for AutoImmunity Diagnostics) consortium was created within the European Union's Seventh Framework Programme for Research and Technological Development (FP7), with the aim of validating gene and protein biomarkers for autoimmune diseases such as systemic lupus erythematosus (SLE). This is an autoimmune disease characterized by a loss of tolerance to self-antigens, inflammation and dysregulated immune responses leading to multi-organ damage and affecting predominantly women (1). The wide spectrum of clinical manifestations shown by the disease complicates its diagnosis, treatment and research (2). Epidemiological studies suggest strong contribution of genetic factors in the pathogenesis of the disease and many SLE risk loci have been identified in several genome-wide association studies (GWAS) and other association studies in the last decades (3).ObjectivesTo perform a replication study for several previously reported SLE susceptibility loci in an independent European sample and to assess their specificity with the different subphenotypes of the disease.MethodsPreviously associated 49 single nucleotide polymorphisms (SNP) were typed in a cohort of 208 SLE patients and 152 controls from Rheumatology Units of University Hospital of Pisa (Italy) and University of Pécs Medical Center (Hungary). Regression analyses were performed focused on the confirmation of disease susceptibility loci and identification of specific genes for age onset, renal, neurological and skin involvement, and presence of arthritis, secondary Sjögren syndrome and secondary antiphospholipid syndrome (APS).ResultsPreviously described risk alleles from HLA, IRF5, BLK, ITGAM, and IRF8 loci have been identified (P value |
doi_str_mv | 10.1136/annrheumdis-2015-eular.5589 |
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This is an autoimmune disease characterized by a loss of tolerance to self-antigens, inflammation and dysregulated immune responses leading to multi-organ damage and affecting predominantly women (1). The wide spectrum of clinical manifestations shown by the disease complicates its diagnosis, treatment and research (2). Epidemiological studies suggest strong contribution of genetic factors in the pathogenesis of the disease and many SLE risk loci have been identified in several genome-wide association studies (GWAS) and other association studies in the last decades (3).ObjectivesTo perform a replication study for several previously reported SLE susceptibility loci in an independent European sample and to assess their specificity with the different subphenotypes of the disease.MethodsPreviously associated 49 single nucleotide polymorphisms (SNP) were typed in a cohort of 208 SLE patients and 152 controls from Rheumatology Units of University Hospital of Pisa (Italy) and University of Pécs Medical Center (Hungary). Regression analyses were performed focused on the confirmation of disease susceptibility loci and identification of specific genes for age onset, renal, neurological and skin involvement, and presence of arthritis, secondary Sjögren syndrome and secondary antiphospholipid syndrome (APS).ResultsPreviously described risk alleles from HLA, IRF5, BLK, ITGAM, and IRF8 loci have been identified (P value <0.05). In addition, several genes appear to be related with the different analized subphenotypes. Four of them could be highlighted due to their strongest P value: the risk effect of SNP rs5754217 (UBE2L3) for skin involvement (P value =0.0004), that of rs907715 (IL21) and rs3093030 (ICAM1-ICAM4-ICAM5) for haematological disorders (P value =0.0031 and P value =0.0010, respectively), and rs4240671 (XKR6) for CNS involvement (P value =0.0085).ConclusionsOverall, results from GAPAID project are consistent with previously established associations for HLA, IRF5, BLK, ITGAM, and IRF8 SLE susceptibility loci and report for the first time several subphenotype-specific associations.ReferencesChung et al. PLoS Genet 2011; 7:e1001323.Eisenberg J. Autoimmun 2009; 32: 223–230.Rullo and Tsao. Ann Rheum Dis 2013; 72(Suppl 2): 56–61.Disclosure of InterestNone declared</description><identifier>ISSN: 0003-4967</identifier><identifier>EISSN: 1468-2060</identifier><identifier>DOI: 10.1136/annrheumdis-2015-eular.5589</identifier><identifier>CODEN: ARDIAO</identifier><language>eng</language><publisher>Kidlington: Elsevier Limited</publisher><ispartof>Annals of the rheumatic diseases, 2015-06, Vol.74 (Suppl 2), p.896</ispartof><rights>2015, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2015 (c) 2015, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ard.bmj.com/content/74/Suppl_2/896.2.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://ard.bmj.com/content/74/Suppl_2/896.2.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,777,781,3183,23552,27905,27906,77349,77380</link.rule.ids></links><search><creatorcontrib>Ruiz-Larrañaga, O.</creatorcontrib><creatorcontrib>Migliorini, P.</creatorcontrib><creatorcontrib>Uribarri, M.</creatorcontrib><creatorcontrib>Czirják, L.</creatorcontrib><creatorcontrib>Alcaro, M.C.</creatorcontrib><creatorcontrib>del Amo, J.</creatorcontrib><creatorcontrib>Iriondo, M.</creatorcontrib><creatorcontrib>Escorza-Treviño, S.</creatorcontrib><creatorcontrib>Estonba, A.</creatorcontrib><title>AB0016 Retrospective Cohort Study of Systemic Lupus Erythematosus and Disease Subphenotypes in European Populations: Results from Gapaid Project</title><title>Annals of the rheumatic diseases</title><description>BackgroundThe GAPAID (Genes And Proteins for AutoImmunity Diagnostics) consortium was created within the European Union's Seventh Framework Programme for Research and Technological Development (FP7), with the aim of validating gene and protein biomarkers for autoimmune diseases such as systemic lupus erythematosus (SLE). This is an autoimmune disease characterized by a loss of tolerance to self-antigens, inflammation and dysregulated immune responses leading to multi-organ damage and affecting predominantly women (1). The wide spectrum of clinical manifestations shown by the disease complicates its diagnosis, treatment and research (2). Epidemiological studies suggest strong contribution of genetic factors in the pathogenesis of the disease and many SLE risk loci have been identified in several genome-wide association studies (GWAS) and other association studies in the last decades (3).ObjectivesTo perform a replication study for several previously reported SLE susceptibility loci in an independent European sample and to assess their specificity with the different subphenotypes of the disease.MethodsPreviously associated 49 single nucleotide polymorphisms (SNP) were typed in a cohort of 208 SLE patients and 152 controls from Rheumatology Units of University Hospital of Pisa (Italy) and University of Pécs Medical Center (Hungary). Regression analyses were performed focused on the confirmation of disease susceptibility loci and identification of specific genes for age onset, renal, neurological and skin involvement, and presence of arthritis, secondary Sjögren syndrome and secondary antiphospholipid syndrome (APS).ResultsPreviously described risk alleles from HLA, IRF5, BLK, ITGAM, and IRF8 loci have been identified (P value <0.05). In addition, several genes appear to be related with the different analized subphenotypes. Four of them could be highlighted due to their strongest P value: the risk effect of SNP rs5754217 (UBE2L3) for skin involvement (P value =0.0004), that of rs907715 (IL21) and rs3093030 (ICAM1-ICAM4-ICAM5) for haematological disorders (P value =0.0031 and P value =0.0010, respectively), and rs4240671 (XKR6) for CNS involvement (P value =0.0085).ConclusionsOverall, results from GAPAID project are consistent with previously established associations for HLA, IRF5, BLK, ITGAM, and IRF8 SLE susceptibility loci and report for the first time several subphenotype-specific associations.ReferencesChung et al. PLoS Genet 2011; 7:e1001323.Eisenberg J. Autoimmun 2009; 32: 223–230.Rullo and Tsao. Ann Rheum Dis 2013; 72(Suppl 2): 56–61.Disclosure of InterestNone declared</description><issn>0003-4967</issn><issn>1468-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqVkUtu2zAQhokiBeq4vQMBr5WQpkSRzcp1XCeAgRq29wQljWAZlsjwUUC7bHqBHrEnCV1n0W1Xgxn8_7w-hGaU3FHK-L0eBneE2Dedz-aEFhnEs3Z3RSHkBzShORepzMkNmhBCWJZLXn5Ct96fUkoEFRP0e_GNEMr_vP7aQXDGW6hD9xPw0hyNC3gfYjNi0-L96AP0XY030UaPV24MR-h1MD5lemjwY-dBe8D7WNkjDCaMFjzuBryKzljQA94am7YLnRn8V7wDH8_B49aZHq-11V2Dt86c0vjP6GOrzx6-vMcpOnxfHZZP2ebH-nm52GQVnZd5JgWrWtZWRTGXjNVcaMHnUIiC84YUnJEyXS44K3mTg9RtC7XUJOd5JbnUFZui2bWtdeYlgg_qZKIb0kRFJaFlySjNk-rhqqrTc7yDVlnX9dqNihJ1YaD-YaAuDNRfBurCILn51V31p_8yvgFhppWr</recordid><startdate>201506</startdate><enddate>201506</enddate><creator>Ruiz-Larrañaga, O.</creator><creator>Migliorini, P.</creator><creator>Uribarri, M.</creator><creator>Czirják, L.</creator><creator>Alcaro, M.C.</creator><creator>del Amo, J.</creator><creator>Iriondo, M.</creator><creator>Escorza-Treviño, S.</creator><creator>Estonba, A.</creator><general>Elsevier Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>201506</creationdate><title>AB0016 Retrospective Cohort Study of Systemic Lupus Erythematosus and Disease Subphenotypes in European Populations: Results from Gapaid Project</title><author>Ruiz-Larrañaga, O. ; Migliorini, P. ; Uribarri, M. ; Czirják, L. ; Alcaro, M.C. ; del Amo, J. ; Iriondo, M. ; Escorza-Treviño, S. ; Estonba, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1274-983bf3fb552933c68a862e58566d05630706086376d4e9affec9a0464b969ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ruiz-Larrañaga, O.</creatorcontrib><creatorcontrib>Migliorini, P.</creatorcontrib><creatorcontrib>Uribarri, M.</creatorcontrib><creatorcontrib>Czirják, L.</creatorcontrib><creatorcontrib>Alcaro, M.C.</creatorcontrib><creatorcontrib>del Amo, J.</creatorcontrib><creatorcontrib>Iriondo, M.</creatorcontrib><creatorcontrib>Escorza-Treviño, S.</creatorcontrib><creatorcontrib>Estonba, A.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of the rheumatic diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ruiz-Larrañaga, O.</au><au>Migliorini, P.</au><au>Uribarri, M.</au><au>Czirják, L.</au><au>Alcaro, M.C.</au><au>del Amo, J.</au><au>Iriondo, M.</au><au>Escorza-Treviño, S.</au><au>Estonba, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>AB0016 Retrospective Cohort Study of Systemic Lupus Erythematosus and Disease Subphenotypes in European Populations: Results from Gapaid Project</atitle><jtitle>Annals of the rheumatic diseases</jtitle><date>2015-06</date><risdate>2015</risdate><volume>74</volume><issue>Suppl 2</issue><spage>896</spage><pages>896-</pages><issn>0003-4967</issn><eissn>1468-2060</eissn><coden>ARDIAO</coden><abstract>BackgroundThe GAPAID (Genes And Proteins for AutoImmunity Diagnostics) consortium was created within the European Union's Seventh Framework Programme for Research and Technological Development (FP7), with the aim of validating gene and protein biomarkers for autoimmune diseases such as systemic lupus erythematosus (SLE). This is an autoimmune disease characterized by a loss of tolerance to self-antigens, inflammation and dysregulated immune responses leading to multi-organ damage and affecting predominantly women (1). The wide spectrum of clinical manifestations shown by the disease complicates its diagnosis, treatment and research (2). Epidemiological studies suggest strong contribution of genetic factors in the pathogenesis of the disease and many SLE risk loci have been identified in several genome-wide association studies (GWAS) and other association studies in the last decades (3).ObjectivesTo perform a replication study for several previously reported SLE susceptibility loci in an independent European sample and to assess their specificity with the different subphenotypes of the disease.MethodsPreviously associated 49 single nucleotide polymorphisms (SNP) were typed in a cohort of 208 SLE patients and 152 controls from Rheumatology Units of University Hospital of Pisa (Italy) and University of Pécs Medical Center (Hungary). Regression analyses were performed focused on the confirmation of disease susceptibility loci and identification of specific genes for age onset, renal, neurological and skin involvement, and presence of arthritis, secondary Sjögren syndrome and secondary antiphospholipid syndrome (APS).ResultsPreviously described risk alleles from HLA, IRF5, BLK, ITGAM, and IRF8 loci have been identified (P value <0.05). In addition, several genes appear to be related with the different analized subphenotypes. Four of them could be highlighted due to their strongest P value: the risk effect of SNP rs5754217 (UBE2L3) for skin involvement (P value =0.0004), that of rs907715 (IL21) and rs3093030 (ICAM1-ICAM4-ICAM5) for haematological disorders (P value =0.0031 and P value =0.0010, respectively), and rs4240671 (XKR6) for CNS involvement (P value =0.0085).ConclusionsOverall, results from GAPAID project are consistent with previously established associations for HLA, IRF5, BLK, ITGAM, and IRF8 SLE susceptibility loci and report for the first time several subphenotype-specific associations.ReferencesChung et al. PLoS Genet 2011; 7:e1001323.Eisenberg J. Autoimmun 2009; 32: 223–230.Rullo and Tsao. Ann Rheum Dis 2013; 72(Suppl 2): 56–61.Disclosure of InterestNone declared</abstract><cop>Kidlington</cop><pub>Elsevier Limited</pub><doi>10.1136/annrheumdis-2015-eular.5589</doi></addata></record> |
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title | AB0016 Retrospective Cohort Study of Systemic Lupus Erythematosus and Disease Subphenotypes in European Populations: Results from Gapaid Project |
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