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Vaishnav J, Jadeja SD, Singh M, Khan F, Yadav M, Begum R. Altered Levels of Negative Costimulatory Molecule V-Set Domain-Containing T-Cell Activation Inhibitor-1 (VTCN1) and Metalloprotease Nardilysin (NRD1) are Associated with Generalized Active Vitiligo. Immunol Invest 2022; 51:2035-2052. [PMID: 35815687 DOI: 10.1080/08820139.2022.2097091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Vitiligo is characterized by depigmented macules on the skin caused due to autoimmune destruction of melanocytes. V-set domain-containing T-cell activation inhibitor-1 (VTCN1) is a negative costimulatory molecule that plays a vital role in suppressing autoimmunity and tuning immune response. Nardilysin (NRD1), a metalloproteinase, cleaves membrane-tethered VTCN1 resulting in the shedding of soluble-VTCN1 (sVTCN1). However, the role of VTCN1 and NRD1 in vitiligo pathogenesis is unexplored. OBJECTIVES AND METHODS This study was aimed to (i) Investigate the association of VTCN1 intronic polymorphisms (rs10923223 T/C and rs12046117 C/T) with vitiligo susceptibility in Gujarat population by using Polymerase Chain Reaction- Restriction Fragment Length Polymorphism (PCR-RFLP) (ii) Estimate VTCN1 & NRD1 transcript levels from peripheral blood mononuclear cells (PBMCs) and skin samples of vitiligo patients by real-time PCR, (iii) Estimate sVTCN1 and NRD1 protein levels from plasma by ELISA and (iv) Estimate VTCN1 protein levels in the skin samples of vitiligo patients by immunofluorescence. RESULTS The analysis revealed increased VTCN1 and NRD1 transcript levels in the skin (p = .039, p = .021 respectively), increased sVTCN1 and NRD1 levels (p = .026, p = .015 respectively) in the plasma, and decreased VTCN1 protein levels (p = .0002) in the skin of vitiligo patients as compared to healthy controls. The genetic analysis revealed no significant association of VTCN1 intronic polymorphisms rs10923223 T/C and rs12046117 C/T with vitiligo susceptibility in Gujarat population (p = .359, p = .937, respectively). CONCLUSIONS The present study revealed altered VTCN1 and NRD1 expressions in the blood and skin of vitiligo patients, suggesting their potential role in the development and progression of Vitiligo.
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Affiliation(s)
- Jayvadan Vaishnav
- Department of Biochemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India
| | - Shahnawaz D Jadeja
- Department of Biochemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India
| | - Mala Singh
- Department of Biochemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India
| | - Farheen Khan
- Department of Biochemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India
| | - Madhu Yadav
- Department of Biochemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India
| | - Rasheedunnisa Begum
- Department of Biochemistry, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, India
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Chen Y, Yang H, Xu S, Shen J, Xu W, Shao M, Pan F. Association analysis of B7-H3 and B7-H4 gene single nucleotide polymorphisms in susceptibility to ankylosing spondylitis in eastern Chinese Han population. Int J Immunogenet 2021; 48:500-509. [PMID: 34555253 DOI: 10.1111/iji.12559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/24/2021] [Accepted: 09/09/2021] [Indexed: 12/16/2022]
Abstract
This study was conducted to describe the association between the genetic variation of the recently identified immune checkpoint molecules B7-H3 and B7-H4, and the susceptibility to ankylosing spondylitis (AS). Two single nucleotide polymorphisms (SNPs) of B7-H3 gene and three SNPs of B7-H4 gene were genotyped in 649 AS patients and 646 age- and sex-matched healthy controls. Allele, genotype frequencies and different inheritance models were performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs), and the demographic and clinical parameters of patients were recorded. Our data indicated that B7-H4 rs10801935 and rs3738414 polymorphisms were correlated with AS susceptibility. In the stratification analyses, the minor A allele and GA genotype of B7-H4 rs3738414 increased the risk of AS in male patients (OR = 1.244, 95%CI = 1.026-1.508; OR = 1.453, 95%CI = 1.120-1.886, respectively). However, the association did not reach statistical significance after Bonferroni correction. Furthermore, haplotype analysis revealed that B7-H4 haplotype block TAG was a risk factor for the onset of AS (OR = 1.190, 95%CI = 1.020-1.389). These findings suggested that B7-H4 gene polymorphism may contribute to AS susceptibility in eastern Chinese Han population.
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Affiliation(s)
- Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Hui Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Shanshan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Jiran Shen
- The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Wei Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Ming Shao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.,The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, Anhui, China
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Yukina MY, Larina AA, Vasilyev EV, Troshina EA, Dimitrova DA. Search for Genetic Predictors of Adult Autoimmune Polyendocrine Syndrome in Monozygotic Twins. CLINICAL MEDICINE INSIGHTS-ENDOCRINOLOGY AND DIABETES 2021; 14:11795514211009796. [PMID: 33953634 PMCID: PMC8058797 DOI: 10.1177/11795514211009796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 03/18/2021] [Indexed: 11/20/2022]
Abstract
Autoimmune polyendocrine syndromes (APS) are a heterogeneous group of diseases characterized by the presence of autoimmune dysfunction of 2 or more endocrine glands and other non-endocrine organs. The components of the syndrome can manifest throughout life: in childhood—APS type 1 (the juvenile type) and in adulthood—APS type 2, 3, and 4 (the adult types). Adult types of APS are more common in clinical practice. It is a polygenic disease associated with abnormalities in genes encoding key regulatory proteins of the major histocompatibility complex (MHC). The search of for candidate genes responsible for mutations in adult APS is continuing. Genetic predisposition is insufficient for the manifestation of the APS of adults, since the penetrance of the disease, even among monozygotic twins, does not approach 100% (30–70%). The article presents the case of isolated Addison’s disease and APS type 2 in monozygotic twins with a revealed compound heterozygosity in the candidate gene VTCN1.
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Wang JY, Wang WP. B7-H4, a promising target for immunotherapy. Cell Immunol 2019; 347:104008. [PMID: 31733822 DOI: 10.1016/j.cellimm.2019.104008] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/23/2019] [Accepted: 11/02/2019] [Indexed: 02/07/2023]
Abstract
The coinhibitory molecule B7-H4, an important member of the B7 family, is abnormally expressed in tumors, inflammation and autoimmune diseases. B7-H4 negatively regulates T cell immune response and promotes immune escape by inhibiting the proliferation, cytokine secretion, and cell cycle of T cells. Moreover, B7-H4 plays an extremely important role in tumorigenesis and tumor development including cell proliferation, invasion, metastasis, anti-apoptosis, etc. In addition, B7-H4 has the other biological functions, such as protection against type 1 diabetes (T1D) and islet cell transplantation. Therefore, B7-H4 has been identified as a novel marker or a therapeutic target for the treatment of tumors, inflammation, autoimmune diseases, and organ transplantation. Here, we summarized the expression profiles, physiological and pathological functions, and regulatory mechanisms of B7-H4, the signaling pathways involved, as well as B7-H4-based immunotherapy.
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Affiliation(s)
- Jia-Yu Wang
- Center for Drug Metabolism and Pharmacokinetics, College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China
| | - Wei-Peng Wang
- Center for Drug Metabolism and Pharmacokinetics, College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China.
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Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients. Gene 2016; 583:90-101. [PMID: 26869316 DOI: 10.1016/j.gene.2016.02.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Revised: 01/18/2016] [Accepted: 02/05/2016] [Indexed: 01/15/2023]
Abstract
Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene-gene and gene-environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients.
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Hersh AO, Prahalad S. Immunogenetics of juvenile idiopathic arthritis: A comprehensive review. J Autoimmun 2015; 64:113-24. [PMID: 26305060 DOI: 10.1016/j.jaut.2015.08.002] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 08/05/2015] [Indexed: 12/19/2022]
Abstract
Juvenile idiopathic arthritis (JIA) is the most common chronic inflammatory arthropathy of childhood. Juvenile idiopathic arthritis is believed to be a complex genetic trait influenced by both genetic and environmental factors. Twin and family studies suggest a substantial role for genetic factors in the predisposition to JIA. Describing the genetics is complicated by the heterogeneity of JIA; the International League of Associations for Rheumatology (ILAR) has defined seven categories of JIA based on distinct clinical and laboratory features. Utilizing a variety of techniques including candidate gene studies, the use of genotyping arrays such as Immunochip, and genome wide association studies (GWAS), both human leukocyte antigen (HLA) and non-HLA susceptibility loci associated with JIA have been described. Several of these polymorphisms (e.g. HLA class II, PTPN22, STAT4) are shared with other common autoimmune conditions; other novel polymorphisms that have been identified may be unique to JIA. Associations with oligoarticular and RF-negative polyarticular JIA are the best characterized. A strong association between HLA DRB1:11:03/04 and DRB1:08:01, and a protective effect of DRB1:15:01 have been described. HLA DPB1:02:01 has also been associated with oligoarticular and RF-negative polyarticular JIA. Besides PTPN22, STAT4 and PTPN2 variants, IL2, IL2RA, IL2RB, as well as IL6 and IL6R loci also harbor variants associated with oligoarticular and RF-negative polyarticular JIA. RF-positive polyarticular JIA is associated with many of the shared epitope encoding HLA DRB1 alleles, as well as PTPN22, STAT4 and TNFAIP3 variants. ERA is associated with HLA B27. Most other associations between JIA categories and HLA or non-HLA variants need confirmation. The formation of International Consortia to ascertain and analyze large cohorts of JIA categories, validation of reported findings in independent cohorts, and functional studies will enhance our understanding of the genetic underpinnings of JIA.
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Affiliation(s)
- Aimee O Hersh
- University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Sampath Prahalad
- Departments of Pediatrics and Human Genetics, Emory University School of Medicine, Atlanta, GA, USA; Children's Healthcare of Atlanta, Atlanta, GA, USA.
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Abstract
PURPOSE OF REVIEW In juvenile idiopathic arthritis (JIA), there are now more than 25 regions represented by single nucleotide polymorphisms that show strong genetic associations. The causal variants and corresponding functions have not yet been defined for the majority of these regions. Here, we review current JIA association findings and the recent progress in the annotation of noncoding portion of the human genome as well as the new technologies necessary to apply this knowledge to JIA association findings. RECENT FINDINGS An international collaboration was able to amass sufficient numbers of JIA and control samples to identify significantly robust genetic associations for JIA. The Encyclopedia of DNA Elements project and the National Institutes of Health (NIH) Roadmap Epigenetics Program have now annotated more than 80% of the noncoding genome, important in understanding the impact of risk loci, the majority of which fall outside of protein coding regions. Recent technological advances in high throughput sequencing, chromatin structure determination, transcription factor and enhancer binding site mapping and genome editing will likely provide a basis for understanding JIA genetic risk. SUMMARY Understanding the role of genetic variation in the cause of JIA will provide insight for disease mechanism and may explain disease heterogeneity between JIA subtypes and between autoimmune diseases in general.
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Terao C, Ohmura K, Kochi Y, Ikari K, Okada Y, Shimizu M, Nishina N, Suzuki A, Myouzen K, Kawaguchi T, Takahashi M, Takasugi K, Murasawa A, Mizuki S, Iwahashi M, Funahashi K, Natsumeda M, Furu M, Hashimoto M, Ito H, Fujii T, Ezawa K, Matsubara T, Takeuchi T, Kubo M, Yamada R, Taniguchi A, Yamanaka H, Momohara S, Yamamoto K, Mimori T, Matsuda F. Anti-citrullinated peptide/protein antibody (ACPA)-negative RA shares a large proportion of susceptibility loci with ACPA-positive RA: a meta-analysis of genome-wide association study in a Japanese population. Arthritis Res Ther 2015; 17:104. [PMID: 25927497 PMCID: PMC4431175 DOI: 10.1186/s13075-015-0623-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 04/08/2015] [Indexed: 11/16/2022] Open
Abstract
Introduction Although susceptibility genes for anti-citrullinated peptide/protein antibodies (ACPA)-positive rheumatoid arthritis (RA) have been successfully discovered by genome-wide association studies (GWAS), little is known about the genetic background of ACPA-negative RA. We intended to elucidate genetic background of ACPA-negative RA. Method We performed a meta-analysis of GWAS comprising 670 ACPA-negative RA and 16,891 controls for 1,948,138 markers, followed by a replication study of the top 35 single nucleotide polymorphisms (SNPs) using 916 cases and 3,764 controls. Inverse-variance method was applied to assess overall effects. To assess overlap of susceptibility loci between ACPA-positive and -negative RA, odds ratios (ORs) of the 21 susceptibility markers to RA in Japanese were compared between the two subsets. In addition, SNPs were stratified by the p-values in GWAS meta-analysis for either ACPA-positive RA or ACPA-negative RA to address the question whether weakly-associated genes were also shared. The correlations between ACPA-positive RA and the subpopulations of ACPA-negative RA (rheumatoid factor (RF)-positive and RF-negative subsets) were also addressed. Results Rs6904716 in LEMD2 of the human leukocyte antigen (HLA) locus showed a borderline association with ACPA-negative RA (overall p = 5.7 × 10−8), followed by rs6986423 in CSMD1 (p = 2.4 × 10−6) and rs17727339 in FCRL3 (p = 1.4 × 10−5). ACPA-negative RA showed significant correlations of ORs with ACPA-positive RA for the 21 susceptibility SNPs and non-HLA SNPs with p-values far from significance. These significant correlations with ACPA-positive RA were true for ACPA-negative RF-positive and ACPA-negative RF-negative RA. On the contrary, positive correlations were not observed between the ACPA-negative two subpopulations. Conclusion Many of the susceptibility loci were shared between ACPA-positive and -negative RA. Electronic supplementary material The online version of this article (doi:10.1186/s13075-015-0623-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Chikashi Terao
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Koichiro Ohmura
- Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto, 606-8507, Japan.
| | - Yuta Kochi
- Laboratory for Autoimmune Diseases, Center for Genomic Medicine, RIKEN, Yokohama, Japan.
| | - Katsunori Ikari
- Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan.
| | - Yukinori Okada
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
| | - Masakazu Shimizu
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Naoshi Nishina
- Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Akari Suzuki
- Laboratory for Autoimmune Diseases, Center for Genomic Medicine, RIKEN, Yokohama, Japan.
| | - Keiko Myouzen
- Laboratory for Autoimmune Diseases, Center for Genomic Medicine, RIKEN, Yokohama, Japan.
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Meiko Takahashi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | | | - Akira Murasawa
- Department of Rheumatology, Niigata Rheumatic Center, Niigata, Japan.
| | - Shinichi Mizuki
- The Centre for Rheumatic Diseases, Matsuyama Red Cross Hospital, Matsuyama, Japan.
| | | | - Keiko Funahashi
- Pharm C, Matsubara Mayflower Hospital, 944-25 Fujita, Kato City, Hyogo, Japan.
| | | | - Moritoshi Furu
- Department of the Control for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Motomu Hashimoto
- Department of the Control for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Hiromu Ito
- Department of the Control for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Takao Fujii
- Department of the Control for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | | | - Tsukasa Matsubara
- Matsubara Mayflower Hospital, 944-25 Fujita, Kato City, Hyogo, Japan.
| | - Tsutomu Takeuchi
- Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Michiaki Kubo
- Laboratory for Autoimmune Diseases, Center for Genomic Medicine, RIKEN, Yokohama, Japan.
| | - Ryo Yamada
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Atsuo Taniguchi
- Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan.
| | - Hisashi Yamanaka
- Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan.
| | - Shigeki Momohara
- Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan.
| | - Kazuhiko Yamamoto
- Laboratory for Autoimmune Diseases, Center for Genomic Medicine, RIKEN, Yokohama, Japan.
| | - Tsuneyo Mimori
- Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto, 606-8507, Japan.
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. .,Institut National de la Sante et de la Recherche Medicale (INSERM) Unite U852, Kyoto University Graduate School of Medicine, Kyoto, Japan.
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Genome-wide association studies to advance our understanding of critical cell types and pathways in rheumatoid arthritis: recent findings and challenges. Curr Opin Rheumatol 2014; 26:85-92. [PMID: 24276088 DOI: 10.1097/bor.0000000000000012] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE OF REVIEW A significant number of loci implicated in rheumatoid arthritis (RA) susceptibility have been highlighted by genome-wide association studies (GWAS). Here, we review the recent advances of GWAS in understanding the genetic architecture of RA, and place these findings in the context of RA pathogenesis. RECENT FINDINGS Although the interpretation of GWAS findings in the context of the disease biology remains challenging, interesting observations can be highlighted. Integration of GWAS results with cell-type specific gene expression or epigenetic marks have highlighted regulatory T cells and CD4 memory T cells as critical cell types in RA. In addition, many genes in RA loci are involved in the nuclear factor-kappaB signaling pathway or the Janus kinase (JAK)-signal transducers and activators of transcription (STAT) signaling pathway. The observation that these pathways are targeted by several approved drugs used to treat the symptoms of RA highlights the promises of human genetics to provide insights in the disease biology, and help identify new therapeutic targets. SUMMARY These findings highlight the promises and need of future studies investigating causal genes and underlined mechanisms in GWAS loci to advance our understanding of RA.
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