Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound   Target Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound

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Query: UMLS:C0003873 (rheumatoid arthritis)
53,068 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Genetic association between particular HLA-DRB1 genes and severity of rheumatoid arthritis (RA) has been documented in various clinical investigations. Susceptible alleles are *0401, *0404, *0405, *0408, *0101, *1001, *1402. According to the Shared epitope hypothesis presence of these alleles were considered as poor prognostic sign. The aim was to investigate HLA-DRB1 distribution in Croatian arthritis patients. Group of 90 patients with non-specific joint arthritis, non-erosive RA and erosive RA were typed for DRB1 alleles by PCR-SSP method. Susceptible alleles were identified in 58 (64.44 %) patients. The most frequent genes were DRB1 *0101 (43.33 %), *0401 (17.77 %), *0404 (10 %). 9 out of 58 DRB1* positive patients had 2 susceptible alleles, and the rest (49 patients) had only one susceptible allele. The patients with non-specific joint arthritis and non-erosive RA will bee closely followed for more destructive disease course in DRB1* positive patients.
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PMID:[HLA-DRB1 gene distribution in Croatian arthritis patients]. 1668 6

The aim of this study was to test whether the functional variant rs2076530 of the BTNL2 gene confers susceptibility to the autoimmune diseases type 1 diabetes (T1D), rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE). Our study populations consisted of 326 patients with T1D and 351 healthy subjects, 808 patients with RA and 1137 healthy controls, and 372 patients with SLE and 280 healthy controls. Genotyping of the BTNL2 gene rs2076530 polymorphism was performed by real-time polymerase chain reaction technology, using the TaqMan 5'-allele discrimination assay. We observed statistically significant differences in the distribution of BTNL2rs2076530 alleles between patients with T1D, RA, and SLE and healthy controls (p=0.0035, 0.000003, and 0.00002, respectively), but in two divergent ways: the G allele was associated with T1D and RA, and the A allele was associated with SLE. However, the polymorphism exhibited strong linkage disequilibrium with HLA DQB1-DRB1 haplotypes previously identified as predisposing to the diseases. When the BTNL2 polymorphism was tested conditional on HLA DQB1-DRB1haplotypes, the BTNL2 effect was no longer significant in all three study populations. The BTNL2 rs2076530 polymorphism is associated with T1D, RA, and SLE because of its strong linkage disequalibrium with predisposing HLA DQB1-DRB1 haplotypes in Caucasian populations.
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PMID:Analysis of a functional BTNL2 polymorphism in type 1 diabetes, rheumatoid arthritis, and systemic lupus erythematosus. 1669 Apr 10

The current methods for molecular typing of HLA-DR alleles incur a substantial financial burden when performing large population studies. In the current study, we aimed to provide much less expensive typing approach with high predictability for DRB1 genotype. We have used a panel of three microsatellite markers in the class II region (D6S2666, D6S2665 and D6S2446) for genotyping and haplotype reconstruction in a total of 1687 Caucasian (1313 RA patients and 374 controls) and 1364 Korean individuals (744 RA patients and 620 controls), all of whom were previously genotyped for DRB1. We found that a total of 88.4 and 87.4% of all observed three-marker haplotypes could determine the DR type with a positive predictive value >0.8 with high sensitivity and specificity. There was a high degree of haplotype conservation when comparing Caucasian and Asian populations. Interestingly, we found that the majority of DRB1*09 and DRB1*10 alleles share a common three-marker haplotype in both Caucasian and Asian populations. This is unexpected, since these two alleles are found on very different haplotype families. In addition, these two alleles are both associated with rheumatoid arthritis, making the elucidation of these haplotype relationships potentially important for understanding disease susceptibility.
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PMID:Microsatellite typing for DRB1 alleles: application to the analysis of HLA associations with rheumatoid arthritis. 1685 21

Several recent publications have established a strong association between anti-cyclic citrullinated peptide antibody (anti-CCP)-positive rheumatoid arthritis (RA) and carriage of shared epitope (SE) alleles. Although anti-CCP have also been associated with more severe RA, the issue of whether this is independent of rheumatoid factor (RF) has not been addressed. To identify associations between RF, anti-CCP, SE status and radiological damage, we studied a large cross-sectional cohort with longstanding RA. Individuals (n = 872) enrolled in the study all fulfilled the American College of Rheumatology criteria for RA, had a minimum disease duration of 3 years, and at least one definite radiographic erosion was present in hands or feet. Radiographs were scored blind at study entry by a single musculoskeletal radiologist using a modified Larsen's score. Anti-CCP and RF levels were determined using enzyme-linked immunosorbent assay, and DRB1 typing was performed using polymerase chain reaction based methodology. Both anti-CCP and RF levels were strongly associated with radiographic severity (P < 0.0001). In subgroups stratified for both anti-CCP and RF status, evidence of independent associations of both antibodies with radiographic outcome was found (P < 0.0001). An association of SE alleles with radiographic severity was present only in RF-negative individuals. Anti-CCP positivity was associated with SE status with evidence of a gene-dose effect, most markedly in RF-negative individuals (P < 0.01). Anti-CCP and RF status are independent severity factors for RA, with SE alleles playing at most a secondary role. Our data support the view that previously described associations between SE and radiological severity, especially in RF-negative patients, may be indirect and due to an association with anti-CCP.
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PMID:Independent associations of anti-cyclic citrullinated peptide antibodies and rheumatoid factor with radiographic severity of rheumatoid arthritis. 1685 35

The expression of HLA-DR1 (DRB1*0101) is associated with an enhanced risk for developing rheumatoid arthritis (RA). To study its function, we have solved the three-dimensional structure of HLA-DR1 complexed with a candidate RA autoantigen, the human type II collagen peptide CII (259-273). Based on these structural data, the CII peptide is anchored by Phe263 at the P1 position and Glu266 at P4. Surprisingly, the Lys at the P2 position appears to play a dual role by participating in peptide binding via interactions with DRB1-His81 and Asn82, and TCR interaction, based on functional assays. The CII peptide is also anchored by the P4 Glu266 residue through an ionic interaction with DRB1-Arg71 and Glu28. Participation of DRB1-Arg71 is significant because it is part of the shared epitope expressed by DR alleles associated with RA susceptibility. Potential anchor residues at P6 and P9 of the CII peptide are both Gly, and the lack of side chains at these positions appears to result in both a narrower binding groove with the peptide protruding out of the groove at this end of the DR1 molecule. From the TCR perspective, the P2-Lys264, P5-Arg267, and P8-Lys270 residues are all oriented away from the binding groove and collectively represent a positive charged interface for CII-specific TCR binding. Comparison of the DR1-CII structure to a DR1-hemagglutinin peptide structure revealed that the binding of these two peptides generates significantly different interfaces for the interaction with their respective Ag-specific TCRs.
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PMID:Crystallographic structure of a rheumatoid arthritis MHC susceptibility allele, HLA-DR1 (DRB1*0101), complexed with the immunodominant determinant of human type II collagen. 1695 51

The telomeric class III region of the major histocompatibility complex is gene dense, but apart from the three tumour necrosis factor (TNF) superfamily members (TNF, lymphotoxin alpha and lymphotoxin beta) little is known of the expression and function of the majority of the genes. Recent genetic studies in autoimmune diseases, particularly rheumatoid arthritis (RA), have suggested a human leukocyte antigen (HLA)-DR-independent disease effect in this region. To gain further insights into these associations, we used lipopolysaccharide-stimulated human macrophages to examine inducible mRNA expression and genotype-phenotype relationships for genes in this region. Following stimulation in addition to the expected induction of TNF mRNA, a 14-fold increase of ATP6V1G2 at 18 h (P<0.001) was seen, whereas B-associated transcript (BAT)2 (P<0.001) and leucocyte-specific transcript (LST)1 (P<0.001) were both downregulated. By genotyping single-nucleotide polymorphisms spanning a 70 kb interval centred on the TNF locus, we constructed haplotypes and determined associated expression profiles for 10 genes in the cluster using quantitative real-time polymerase chain reaction. Overexpression of BAT1 mRNA was associated with carriers of a haplotype containing the LST1 marker transmitted to RA cases in a family study and also DRB1(*)15 associated with susceptibility to nephritis in systemic lupus erythematosus. The implications of our findings for the understanding of genetic associations with disease susceptibility in this region are discussed.
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PMID:Haplotype-specific gene expression profiles in a telomeric major histocompatibility complex gene cluster and susceptibility to autoimmune diseases. 1697 54

Within the major histocompatibility complex (MHC), the human leucocyte antigen (HLA)-DRB1 locus is clearly associated with rheumatoid arthritis (RA). Using a microsatellite (MSat) typing approach, we aimed to identify other loci associated with RA susceptibility and/or severity within the MHC. A panel of nine MSat HLA loci [D6S291, D6S2876 (G51152), D6S1666 (DQCAR II), D6S273, D6S2789 (TNFd), D6S2810 (MIB), D6S265, D6S2222, D6S2239], and HLA-A, -B and -DRB1 genes were typed in 170 RA cases and 282 controls. For susceptibility analysis, MSat and HLA allele distribution were compared between cases and controls, before and after stratification on HLA-DRB1*04. Haplotype frequencies were estimated using an expectation-maximization algorithm in a permutation test procedure. For severity analysis, we compared the distribution of structural damage score at onset and after 4 years of follow-up in RA cases carrying susceptibility alleles. Two MSat polymorphisms were positively associated with RA susceptibility: allele*136 of D6S265 [odds ratio, OR (confidence interval, CI) = 1.55 (1.11-2.17), P= 0.007], allele*116 of D6S2239 [OR = 1.34 (1-1.79), P= 0.03] and HLA-A2 [OR = 1.46 (1.08-1.98), P= 0.01]. Two MSat polymorphisms were negatively associated with RA susceptibility: allele*133 of D6S273 [OR = 0.3 (0.1-0.75), P= 0.005] and allele*177 of D6S291 [OR = 0.72 (0.53-0.96), P= 0.02]. The association between allele*136 of D6S265 and RA susceptibility remained unchanged after stratification on HLA-DRB1*04. The haplotypic analysis showed an overrepresentation of D6S265*136/HLA-A*02 haplotype, which suggests an effect independent of HLA-DRB1 locus in RA susceptibility. While HLA-A2 and HLA-DR4 were associated with RA severity, no MSat polymorphism was associated with structural damage score.
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PMID:Microsatellite typing of the human leucocyte antigen region: analytical approach and contribution to rheumatoid arthritis immunogenetic studies. 1709 52

We examined associations between human leukocyte antigen DRB1 (HLA-DRB1) shared epitope (SE), receptor activator of nuclear factor-kappaB (RANK), RANK ligand (RANKL), osteoprotegerin (OPG), and interleukin 17 (IL-17) genotypes with age of disease onset and radiographic progression in Japanese patients with early rheumatoid arthritis (RA). HLA-DRB1 genotypes were evaluated in 123 patients with early RA (98 female, 25 male) within 1 year of symptom onset. In 72 patients, radiographic progression over a 2-year period was evaluated using Larsen's methods, and genotypes of three polymorphic sites in RANK, five sites in RANKL, two sites in OPG, and three sites in IL-17 were determined by direct polymerase chain reaction sequencing. Possession of an SE allele was significantly associated with earlier disease onset in females (median 46.9 vs 51.9 years in SE- patients; P = 0.04). Single nucleotide polymorphisms (SNPs) in RANKL (rs2277438, P = 0.028) and IL-17 (rs3804513, P = 0.049) were significantly associated with radiographic progression at 2 years. RANKL-G-, SE- patients (n = 12) had significantly less joint damage than did RANKL-G+, SE- patients (n = 11; P = 0.0038), RANKL-G-, SE+ patients (n = 21; P = 0.0018) and RANKL-G+, SE+ patients (n = 28; P = 0.0024). In Japanese RA patients, HLA-DRB1 SE alleles are associated with disease onset at an earlier age, as has been observed in Caucasian RA patients. In addition, SNPs in RANKL and IL-17 may be associated with radiographic progression in Japanese patients with early RA.
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PMID:Associations between HLA-DRB1, RANK, RANKL, OPG, and IL-17 genotypes and disease severity phenotypes in Japanese patients with early rheumatoid arthritis. 1787 45

Recent evidence suggests that additional risk loci for RA are present in the major histocompatibility complex (MHC), independent of the class II HLA-DRB1 locus. We have now tested a total of 1,769 SNPs across 7.5Mb of the MHC located from 6p22.2 (26.03 Mb) to 6p21.32 (33.59 Mb) derived from the Illumina 550K Beadchip (Illumina, San Diego, CA, USA). For an initial analysis in the whole dataset (869 RA CCP + cases, 1,193 controls), the strongest association signal was observed in markers near the HLA-DRB1 locus, with additional evidence for association extending out into the Class I HLA region. To avoid confounding that may arise due to linkage disequilibrium with DRB1 alleles, we analyzed a subset of the data by matching cases and controls by DRB1 genotype (both alleles matched 1:1), yielding a set of 372 cases with 372 controls. This analysis revealed the presence of at least two regions of association with RA in the Class I region, independent of DRB1 genotype. SNP alleles found on the conserved A1-B8-DR3 (8.1) haplotype show the strongest evidence of positive association (P ~ 0.00005) clustered in the region around the HLA-C locus. In addition, we identified risk alleles that are not present on the 8.1 haplotype, with maximal association signals (P ~ 0.001-0.0027) located near the ZNF311 locus. This latter association is enriched in DRB1*0404 individuals. Finally, several additional association signals were found in the extreme centromeric portion of the MHC, in regions containing the DOB1, TAP2, DPB1, and COL11A2 genes. These data emphasize that further analysis of the MHC is likely to reveal genetic risk factors for rheumatoid arthritis that are independent of the DRB1 shared epitope alleles.
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PMID:Several regions in the major histocompatibility complex confer risk for anti-CCP-antibody positive rheumatoid arthritis, independent of the DRB1 locus. 1830 76

We sought to i) identify putative genetic determinants of the severity of rheumatoid arthritis in the NARAC (North American Rheumatoid Arthritis Consortium) data, ii) assess whether known candidate genes for disease status are also associated with disease severity in those affected, and iii) determine whether heterogeneity among the severity phenotypes can be explained by genetic and/or host factors. These questions are addressed by developing bivariate mixed-counting process models for numbers of tender and swollen joints to evaluate genetic association of candidate polymorphisms, such as DRB1, and selected single-nucleotide polymorphisms in known candidate genes/regions for rheumatoid arthritis, including PTPN22, and those in the regions identified by a genome-wide linkage scan of disease severity using the dense Illumina single-nucleotide polymorphism panel. The counting process framework provides a flexible approach to account for the duration of rheumatoid arthritis, an attractive feature when modeling severity of a disease. Moreover, we found a gain in efficiency when using a bivariate compared to a univariate counting process model.
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PMID:Application of bivariate mixed counting process models to genetic analysis of rheumatoid arthritis severity. 1846 62


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