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Sheng N, Gao Y, Li H, Wang W, Geng L, Zhang B, Huang Q, Wang X, Sun L. The Associations of rs1799724 and rs361525 With the Risk of Ankylosing Spondylitis Are Dependent on HLA-B27 Status in a Chinese Han Population. Front Immunol 2022; 13:852326. [PMID: 35450075 PMCID: PMC9016113 DOI: 10.3389/fimmu.2022.852326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Human leucocyte antigen B27 (HLA-B27) is an important biomarker for ankylosing spondylitis (AS). However, delay in the diagnosis of AS is still common in clinical practice. Several single nucleotide polymorphisms (SNPs) in the coding gene of tumor necrosis factor alpha (TNFα) have been reported to be AS susceptibility loci. Our aim was to explore whether SNPs in TNFα could be used to improve the performance of HLA-B27 for predicting AS. Methods Five SNPs (rs1799964, rs1800630, rs1799724, rs1800629, and rs361525) spanning TNFα were genotyped by qPCR-Invader assay in 93 AS patients and 107 healthy controls for association analysis and linkage disequilibrium (LD) analysis. Random forest algorithm was utilized to construct the predictive classifiers for AS. HLA-B was genotyped by PCR-sequence-based typing in a subset of the HLA-B27-positive subjects (38 AS patients and 5 healthy controls). Results The T allele of rs1799724 was verified to significantly increase the risk of AS (OR = 4.583, p < 0.0001), while the A allele of rs361525 showed an association with the reduced AS risk (OR = 0.168, p = 0.009). In addition, the rs1799964T-rs1800630C-rs1799724T-rs1800629G-rs361525G haplotype was significantly associated with a higher risk of AS (p < 0.0001). The optimal set of variables for classifiers to predict AS only consisted of HLA-B27. Strong associations with HLA-B27 status were found in both rs1799724 (p < 0.0001) and rs361525 (p = 0.001), and all the analyzed HLA-B27-positive subjects carried HLA-B*27:04 or HLA-B*27:05. Conclusion In the Chinese Han population, the minor allele T of rs1799724 could increase the risk of AS, while the minor allele A of rs361525 protects individuals from AS. However, the contributions of rs1799724 and rs361525 to AS risk were dependent on HLA-B27 status, suggesting the importance of taking the independence and specificity into consideration in AS susceptibility loci studies.
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Affiliation(s)
- Nan Sheng
- Department of Rheumatology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.,Clinical Medicine Research Center, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China.,Department of Rheumatology, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, China
| | - Yingying Gao
- Department of Rheumatology, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, China
| | - Hui Li
- Department of Rheumatology, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, China
| | - Wenwen Wang
- Department of Rheumatology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China
| | - Linyu Geng
- Department of Rheumatology, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, China
| | - Bo Zhang
- Department of Rheumatology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China
| | - Qiang Huang
- State Key Laboratory of Environmental Geochemistry Institute of Geochemistry, Chinese Academy of Science, Guiyang, China
| | - Xueqin Wang
- Department of Rheumatology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, China
| | - Lingyun Sun
- Department of Rheumatology, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, China
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Xu H, Qu Y. Protective effect of anthrax toxin receptor 2 polymorphism rs4333130 against the risk of ankylosing spondylitis. Medicine (Baltimore) 2020; 99:e19942. [PMID: 32664053 PMCID: PMC7360223 DOI: 10.1097/md.0000000000019942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The present study was performed to statistically explore the effect of anthrax toxin receptor 2 (ANTXR2) polymorphism rs4333130 on individual susceptibility to ankylosing spondylitis (AS) using the method of meta-analysis. METHODS All of the eligible reports were retrieved from well-known electronic databases. The strength of the association between ANTXR2 polymorphism rs4333130 and the susceptibility to AS was evaluated using pooled odds ratios (ORs) with 95% confidence intervals (95% CIs). In addition, subgroup analysis was also performed on the basis of ethnicity to further explore specific correlation between our studied polymorphism and the disease risk. Inter-study heterogeneity was detected with Q test, and P < .05 was considered statistically significant. Sensitivity analysis was implemented through removing each of eligible studies and then recalculating overall effects to test the reliability of final estimates. Publication bias among included studies was inspected with both Begg funnel plot and Egger regression test. RESULTS A total of 6 eligible papers were finally incorporated into the present meta-analysis. In total analysis, ANTXR2 polymorphism rs4333130 was significantly related to decreased risk of AS under CC versus TT, CC + TC versus TT, CC versus TT + TC, C versus T and TC versus TT contrasts (OR = 0.35, 95% CI = 0.20-0.64; OR = 0.81, 95% CI = 0.69-0.95; OR = 0.38, 95% CI = 0.21-0.68; OR = 0.89, 95% CI = 0.84-0.95; OR = 0.84, 95% CI = 0.72-0.99). Moreover, a similar effect was also observed in Asian and Caucasian subgroups under corresponding genetic models after stratification analysis based on ethnicity. CONCLUSION ANTXR2 polymorphism rs4333130 may function as a protective factor against AS incidence.
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Abstract
The term axial spondyloarthritis (axSpA) encompasses a heterogeneous group of diseases that have variable presentations, extra-articular manifestations and clinical outcomes, and that will respond differently to treatments. The prototypical type of axSpA, ankylosing spondylitis, is thought to be caused by interaction between the genetically primed host immune system and gut microbiota. Currently used biomarkers such as HLA-B27 status, C-reactive protein and erythrocyte sedimentation rate have, at best, moderate diagnostic and predictive value. Improved biomarkers are needed for axSpA to assist with early diagnosis and to better predict treatment responses and long-term outcomes. Advances in a range of 'omics' technologies and statistical approaches, including genomics approaches (such as polygenic risk scores), microbiome profiling and, potentially, transcriptomic, proteomic and metabolomic profiling, are making it possible for more informative biomarker sets to be developed for use in such clinical applications. Future developments in this field will probably involve combinations of biomarkers that require novel statistical approaches to analyse and to produce easy to interpret metrics for clinical application. Large publicly available datasets from well-characterized case-cohort studies that use extensive biological sampling, particularly focusing on early disease and responses to medications, are required to establish successful biomarker discovery and validation programmes.
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Rostami S, Hoff M, Brown MA, Hveem K, Holmen OL, Fritsche LG, Videm V. Prediction of Ankylosing Spondylitis in the HUNT Study by a Genetic Risk Score Combining 110 Single-nucleotide Polymorphisms of Genome-wide Significance. J Rheumatol 2020; 47:204-210. [PMID: 30936278 DOI: 10.3899/jrheum.181209] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The genetic component of ankylosing spondylitis (AS) development is ∼90%. Of the known heritability, ∼20% is explained by HLA-B27, and 113 identified AS-associated single-nucleotide polymorphisms (SNP) account for ∼7.4%. The objectives were to construct a weighted genetic risk score (wGRS) using currently known genome-wide susceptibility SNP, and to evaluate its predictive ability for AS in the Norwegian population-based Nord-Trøndelag Health Study (HUNT). METHODS AS cases (n = 164) and controls (n = 49,032) were from the second (1995-1997) and third (2006-2008) waves of the HUNT study, to which the entire adult population of the northern region of Trøndelag was invited. A wGRS based on 110 SNP weighted by published OR for AS was constructed, representing each person's carriage of all risk variants. Logistic regression models including the wGRS alone or in combination with HLA-B27 carrier state and other adjustment variables (sex, age, smoking, body mass index, and hypertension) were developed. Discrimination among models was compared using area under the curve (AUC). RESULTS The wGRS was associated with AS (OR 1.7, 95% CI 1.4-2.1), but showed low discrimination (AUC 0.62, 95% CI 0.58-0.67). HLA-B27 was significantly associated with AS (OR 50, 95% CI 32-81), showing high discrimination (AUC 0.88, 95% CI 0.85-0.90). Combining the wGRS and HLA-B27 improved prediction (AUC 0.90, 95% CI 0.87-0.92; p < 0.001 vs wGRS alone, p < 0.01 vs HLA-B27 alone). Further inclusion of adjustment variables gave a small improvement (AUC 0.91, 95% CI 0.89-0.94; p = 0.03). CONCLUSION Prediction in a population-based setting based on all currently known AS susceptibility SNP was better than HLA-B27 carrier state alone, although the improvement was small and of uncertain clinical value.
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Affiliation(s)
- Sina Rostami
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Mari Hoff
- Department of Rheumatology, St. Olavs University Hospital, Norwegian University of Science and Technology, Trondheim, Norway, and Department of Neuromedicine and Movement Science, and Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Matthew A Brown
- Institute of Health and Biomedical Innovation, Translational Research Institute, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Australia
| | - Kristian Hveem
- KG Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Oddgeir L Holmen
- KG Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Lars G Fritsche
- KG Jebsen Center for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Vibeke Videm
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
- Department of Immunology and Transfusion Medicine, St. Olavs University Hospital, Trondheim, Norway
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TNFAIP3 genetic polymorphisms reduce ankylosing spondylitis risk in Eastern Chinese Han population. Sci Rep 2019; 9:10209. [PMID: 31308453 PMCID: PMC6629655 DOI: 10.1038/s41598-019-46647-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 06/28/2019] [Indexed: 02/06/2023] Open
Abstract
This study was conducted to clarify the associations of tumor necrosis factor-α induced protein 3 (TNFAIP3) and TNFAIP3-interacting protein 1 (TNIP1) genetic polymorphisms with ankylosing spondylitis (AS) susceptibility. Five single nucleotide polymorphisms (SNPs) in TNFAIP3 gene and four in TNIP1 gene were genotyped in 667 AS patients and 667 matched healthy controls. Genotypes and haplotype analysis were conducted by using SPSS 23.0 and Haploview 4.2 software. The T allele and CT genotype in TNFAIP3 rs10499194 were significantly associated with a reduced AS risk (T allele vs. C allele, OR = 0.619, 95% CI = 0.430–0.889, P = 0.009; CT vs. CC, OR = 0.603, 95% CI = 0.416–0.875, P = 0.007). However, no association remained significant after Bonferroni correction. The rs13207033A- rs10499194T haplotype of TNFAIP3 conferred a protective effect on AS susceptibility. Stratification analyses suggested that rs10499194 polymorphism decreased the risk of AS in the male subgroup, subgroup aged ≥ 29, HLA-B27 positive subgroup as well as the subgroups of BASFI < 4 and BASDAI < 4 (all P < 0.05). Furthermore, the functional annotation suggested a potential function of rs10499194 mutation. Our results demonstrated that TNFAIP3 rs10499194 polymorphism may be associated with a reduced risk of AS.
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Cho SM, Jung SH, Chung YJ. A Variant in RUNX3 Is Associated with the Risk of Ankylosing Spondylitis in Koreans. Genomics Inform 2017. [PMID: 28638311 PMCID: PMC5478709 DOI: 10.5808/gi.2017.15.2.65] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Ankylosing spondylitis (AS) is a chronic autoinflammatory disease that affects the spine and sacroiliac joints. Regarding its etiology, although HLA-B27 is known to be the strongest genetic factor of AS, much evidence suggests the potential contribution of non-MHC genes to the susceptibility to AS. Most of these non-MHC genes have been discovered in non-Asian populations; however, just some of them have been validated in Koreans. In this study, we aimed to identify additional AS-associated single-nucleotide polymorphism (SNP) candidates by replicating the candidate SNPs in Korean AS patients and healthy controls. For this, we selected three SNPs (rs11249215 in RUNX3, rs6556416 in IL12B, and rs8070463 in TBKBP1), which were previously reported as risk factors of AS but have not been studied in Koreans, and performed genotyping assays using a total of 1138 Korean samples (572 AS patients and 566 healthy controls). Of the three SNP candidates, one SNP in RUNX3 (rs11249215) was significantly associated with the risk of AS (odds ratio, 1.31; 95% confidence interval, 1.02 to 1.68, p = 0.03). These results will be helpful in elucidating the pathogenesis of AS and may be useful for developing AS risk prediction models in Koreans.
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Affiliation(s)
- Sung-Min Cho
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.,Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.,Integrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Seung-Hyun Jung
- Integrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.,Cancer Evolution Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Yeun-Jun Chung
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.,Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.,Integrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
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