2016
DOI: 10.1136/annrheumdis-2016-eular.2654
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SAT0016 Role of PCR, GCKR, HNF1A, LEPR, ASCL1 and NLRP3 in Atherosclerosis in Patients with Rheumatoid Arthritis

Abstract: BackgroundRheumatoid arthritis (RA) is an autoimmune inflammatory disease associated with accelerated atherosclerosis and increased cardiovascular (CV) disease. Elevated levels of the C-reactive protein (CRP) are related to an increase risk of coronary artery disease [1] and stroke [2]. Recently, PCR, GCKR, HNF1A, LEPR, ASCL1 and NLRP3 have been associated with CRP levels in non-rheumatic population [2].ObjectivesWe aimed to determine the potential role of these genes in the development of CV disease and subcl… Show more

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“…Methods: The sample set consisted of 128 (70.3% female) Caucasian JIA patients and 221 (28.1% female) healthy controls from Northern Greece. Genotyping for the PTPN22 rs2476601 (XcmI) was performed by restriction fragment length polymorphism (RFLP) analysis [3]. Logistic regression or the Gart (Woolf) method were used to estimate ORs and 95% CIs.…”
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confidence: 99%
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“…Methods: The sample set consisted of 128 (70.3% female) Caucasian JIA patients and 221 (28.1% female) healthy controls from Northern Greece. Genotyping for the PTPN22 rs2476601 (XcmI) was performed by restriction fragment length polymorphism (RFLP) analysis [3]. Logistic regression or the Gart (Woolf) method were used to estimate ORs and 95% CIs.…”
mentioning
confidence: 99%
“…Background: Polyautoimmunity (i.e., the presence of two or more autoimmune diseases in a single patient) and familial autoimmunity (i.e., diverse autoimmune diseases in a nuclear family) represent extreme phenotypes ideal for identifying major genomic variants contributing to autoimmunity (1)(2)(3). Whole Exome Sequencing (WES) and linkage analysis are well suited for this purpose due to its strong resolution upon familial segregation patterns of functional protein coding and splice variants (3). Objectives: The primary objective of this study was to identify potentially autoimmune causative variants using WES data from extreme pedigrees segregating polyautoimmunity phenotypes.…”
mentioning
confidence: 99%