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Ali AA, Khalid KE, Hussien HM, Mohammed SE, Saeed OK. The Association of Human Leukocyte Antigen Genotyping Among Sudanese Patients With Rheumatoid Arthritis: Reference to Ethnicity. Cureus 2023; 15:e43905. [PMID: 37746389 PMCID: PMC10512431 DOI: 10.7759/cureus.43905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2023] [Indexed: 09/26/2023] Open
Abstract
INTRODUCTION Human leukocyte antigens (HLA) account for up to one-half of the total genetic contribution to rheumatoid arthritis (RA) risk. The study investigated the association of HLA class II genotyping with RA susceptibility in Sudanese ethnic groups. METHODS The DRB1 and DQB1 alleles and haplotypes were determined in 122 RA patients (i.e., Gaalia = 54, Johayna = 24, Baggara = 17, Nile Nubian = 12, and others = 15) and 120 healthy controls of ethnic groups (i.e., Gaalia = 44, Johayna = 11, Baggara = 15, Nile Nubian = 9, and others = 21) using a polymerase chain reaction with sequence-specific primers method. RESULTS Susceptibility to RA was associated with a high frequency of DRB1*04 (P = 0.04), DRB1*10 (P = 0.04), and DQB1*03 (P = 2.2 x 10-8/Pc = 6.6 x 10-8) between study ethnic groups, while protective effects were shown with DRB1*07 (P = 0.01), DQB1*02 (P = 0.02), and DQB1*06 (P = 2.2 x 10-6/Pc = 6.6 x 10-6), with an inconsistent frequency between study ethnic groups. The HLA haplotypes that were high in frequency among RA ethnic groups and showed susceptibility associations were DRB1*03-DQB1*03, DRB1*04-DQB1*03, DRB1*08-DQB1*03, DRB1*13-DQB1*02, and DRB1*13-DQB1*03 (P = 0.00003/Pc = 0.0003, P = 0.0001/Pc = 0.0001, P = 0.03, P = 0.004/Pc = 0.03, and P = 3.79x10-8/Pc = 3.3x10-9, respectively). On the contrary, DRB1*03-DQB1*02, DRB1*07-DQB1*02, and DRB1*13-DQB1*06 were lower in frequency in the ethnic groups with RA and may confer protection (P = 0.004/Pc = 0.032, P = 0.002/Pc = 0.02, and P = 0.01, respectively). CONCLUSIONS Our findings indicate an association between HLA-DRB1 and DQB1 genotypes and the susceptibility to RA in the Sudanese population, with a moderate frequency between our ethnic groups.
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Affiliation(s)
- Adil A Ali
- Department of Biochemistry and Nutrition, Faculty of Medicine, University of Gezira, Wad Medani, SDN
| | - Khalid E Khalid
- Department of Basic Medical Sciences, Faculty of Applied Medical Sciences, Albaha University, Al-Baha, SAU
| | - Hajir M Hussien
- Department of Medical Microbiology, Faculty of Medical Laboratory Sciences, University of Gezira, Wad Medani, SDN
| | - Somaya E Mohammed
- Department of Pathology, Faculty of Medicine, University of Gezira, Wad Medani, SDN
| | - Osman K Saeed
- Department of Internal Medicine, Faculty of Medicine, University of Gezira, Wad Medani, SDN
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2
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Ali AA, Khalid KE, Mohammed SE, Akhtar MS, Saeed OK. Association of Human Leukocyte Antigen (HLA) class II ( DRB1 and DQB1) alleles and haplotypes with Rheumatoid Arthritis in Sudanese patients. Front Immunol 2023; 14:1178546. [PMID: 37426636 PMCID: PMC10324672 DOI: 10.3389/fimmu.2023.1178546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/05/2023] [Indexed: 07/11/2023] Open
Abstract
The aim of this study was to determine the Human Leukocyte Antigen (HLA) class II (DRB1 and DQB1) alleles and haplotype frequency in Rheumatoid Arthritis (RA) in the Sudanese population. The frequency of HLA-DRB1 and -DQB1 alleles and DRB1-DQB1 haplotypes were determined in 122 RA patients and 100 controls. HLA alleles were genotyped by the polymerase chain reaction-sequence specific primers (PCR-SSP) method. In RA patients, HLA-DRB1*04 and *10 alleles were high in frequency (9.6% vs 14.2%, P = 0.038 and P = 0.042, respectively), and dependently on anti-citrullinated protein antibodies (ACPAs) seropositivity (P = 0.044 and P = 0.027, respectively). In contrast, the frequency of the HLA-DRB1*07 allele was significantly low in patients than in controls (11.7% vs 5.0%, P = 0.010). Moreover, the HLA-DQB1*03 allele was strongly associated with RA risk (42.2%, P = 2.2x10-8), whereas, HLA-DQB1*02 and *06 showed protective effects against RA (23.1% and 42.2%, P = 0.024 and P = 2.2x10-6, respectively). Five different HLA haplotypes, DRB1*03-DQB1*03 (P = 0.00003), DRB1*04-DQB1*03 (P = 0.00014), DRB1*08-DQB1*03 (P = 0.027), DRB1*13-DQB1*02 (P = 0.004), and DRB1*13-DQB1*03 (P = 3.79x10-8) were significantly associated with RA risk, while 3 protective haplotypes, DRB1*03-DQB1*02 (Pc = 0.008), DRB1*07-DQB1*02 (Pc = 0.004), and DRB1*13-DQB1*06 (Pc = 0.02) were identified. This is the first study determining the association between HLA class II alleles and haplotypes and RA risk in our population.
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Affiliation(s)
- Adil Ahmed Ali
- Department of Biochemistry and Nutrition, Faculty of Medicine, University of Gezira, Wad Medani, Sudan
| | - Khalid Eltahir Khalid
- Department of Biochemistry and Nutrition, Faculty of Medicine, University of Gezira, Wad Medani, Sudan
- Department of Basic Medical Sciences, Faculty of Applied Medical Sciences, Al-Baha University, Al-Baha, Saudi Arabia
| | - Somaya Elhaj Mohammed
- Department of Pathology, Faculty of Medicine, University of Gezira, Wad Medani, Sudan
| | - Mohammed Salman Akhtar
- Department of Basic Medical Sciences, Faculty of Applied Medical Sciences, Al-Baha University, Al-Baha, Saudi Arabia
| | - Osman Khalafalla Saeed
- Department of Internal Medicine, Faculty of Medicine, University of Gezira, Wad Medani, Sudan
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Wang J, Wu J, Sun Q, Wu Q, Li Y, Duan S, Yang L, Wu W, Wang Z, Liu Y, Tang R, Yang J, Wang C, Liu C, Xu J, Wang M, He G. Extensive genetic admixture between Tai-Kadai-speaking people and their neighbours in the northeastern region of the Yungui Plateau inferred from genome-wide variations. BMC Genomics 2023; 24:317. [PMID: 37308851 DOI: 10.1186/s12864-023-09412-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 05/27/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Yungui Plateau in Southwest China is characterized by multi-language and multi-ethnic communities and is one of the regions with the wealthiest ethnolinguistic, cultural and genetic diversity in East Asia. There are numerous Tai-Kadai (TK)-speaking populations, but their detailed evolutionary history and biological adaptations are still unclear. RESULTS Here, we genotyped genome-wide SNP data of 77 unrelated TK-speaking Zhuang and Dong individuals from the Yungui Plateau and explored their detailed admixture history and adaptive features using clustering patterns, allele frequency differentiation and sharing haplotype patterns. TK-speaking Zhuang and Dong people in Guizhou are closely related to geographically close TK and Hmong-Mien (HM)-speaking populations. Besides, we identified that Guizhou TK-speaking people have a close genetic relationship with Austronesian (AN)-speaking Atayal and Paiwan people, which is supported by the common origin of the ancient Baiyue tribe. We additionally found subtle genetic differences among the newly studied TK people and previously reported Dais via the fine-scale genetic substructure analysis based on the shared haplotype chunks. Finally, we identified specific selection candidate signatures associated with several essential human immune systems and neurological disorders, which could provide evolutionary evidence for the allele frequency distribution pattern of genetic risk loci. CONCLUSIONS Our comprehensive genetic characterization of TK people suggested the strong genetic affinity within TK groups and extensive gene flow with geographically close HM and Han people. We also provided genetic evidence that supported the common origin hypothesis of TK and AN people. The best-fitted admixture models further suggested that ancestral sources from northern millet farmers and southern inland and coastal people contributed to the formation of the gene pool of the Zhuang and Dong people.
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Affiliation(s)
- Jiawen Wang
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China.
| | - Jun Wu
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Qian Wu
- Qiannan Prefecture People's Hospital, Buyi and Miao Autonomous Prefecture of QianNan, Buyi and Miao Autonomous Prefecture of QianNan, 558000, China
| | - Youjing Li
- Congjiang People's Hospital, Congjiang, 557499, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Lin Yang
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Wenxin Wu
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Junbao Yang
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Chuanchao Wang
- Department of Anthropology and Ethnology, School of Sociology and Anthropology, Institute of Anthropology, Xiamen University, Xiamen, 361000, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Jianwei Xu
- Department of Pharmacology, School of Basic Medicine, Guizhou Medical University, Guiyang, 550004, China.
| | - Mengge Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China.
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610000, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
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4
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An Immunoinformatic Study on Exploration of Membrane Proteins to Develop Epitope Based Vaccine Against Streptococcus pneumoniae. Int J Pept Res Ther 2022. [DOI: 10.1007/s10989-022-10454-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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5
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Huang YH, Khor SS, Zheng X, Chen HY, Chang YH, Chu HW, Wu PE, Lin YJ, Liao SF, Shen CY, Tokunaga K, Lee MH. A high-resolution HLA imputation system for the Taiwanese population: a study of the Taiwan Biobank. THE PHARMACOGENOMICS JOURNAL 2020; 20:695-704. [PMID: 32042094 DOI: 10.1038/s41397-020-0156-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 01/22/2020] [Accepted: 01/27/2020] [Indexed: 12/24/2022]
Abstract
An imputation algorithm for human leukocyte antigen (HLA) is helpful for exploring novel disease associations. However, population-specific HLA imputation references are essential for achieving high imputation accuracy. In this study, a subset of 1012 individuals from the Taiwan Biobank (TWB) who underwent both whole-genome SNP array and NGS-based HLA typing were used to establish Taiwanese HLA imputation references. The HIBAG package was used to generate the imputation references for eight HLA loci at a two- and three-field resolution. Internal validation was carried out to evaluate the call threshold and accuracy for each HLA gene. HLA class II genes found to be associated with rheumatoid arthritis (RA) were validated in this study by the imputed HLA alleles. Our Taiwanese population-specific references achieved average HLA imputation accuracies of 98.11% for two-field and 98.08% for three-field resolution. The frequency distribution of imputed HLA alleles among 23,972 TWB subjects were comparable with PCR-based HLA alleles in general Taiwanese reported in the allele frequency net database. We replicated four common HLA alleles (HLA-DRB1*03:01, DRB1*04:05, DQA1*03:03, and DQB1*04:01) significantly associated with RA. The population-specific references provide an informative tool to investigate the associations of HLA variants and human diseases in large-scale population-based studies.
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Affiliation(s)
- Yu-Han Huang
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Seik-Soon Khor
- Department of Human Genetics, Graduate School of Medicine, the University of Tokyo, Toyo, Japan
| | - Xiuwen Zheng
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Hsuan-Yu Chen
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Ya-Hsuan Chang
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Hou-Wei Chu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Pei-Ei Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yu-Ju Lin
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Shu-Fen Liao
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Katsushi Tokunaga
- Department of Human Genetics, Graduate School of Medicine, the University of Tokyo, Toyo, Japan.
| | - Mei-Hsuan Lee
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan.
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6
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Regueiro C, Gonzalez A. Questions on 'Sequencing of the MHC region defines HLA-DQA1 as the major genetic risk for seropositive rheumatoid arthritis in Han Chinese population' by Guo et al. Ann Rheum Dis 2020; 81:e38. [PMID: 32024650 DOI: 10.1136/annrheumdis-2020-217031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 01/24/2020] [Indexed: 11/04/2022]
Affiliation(s)
- Cristina Regueiro
- Experimental and Observational Rheumatology, Instituto Investigacion Sanitaria-Hospital Clinico Universitario de Santiago, Santiago de Compostela, Spain
| | - Antonio Gonzalez
- Experimental and Observational Rheumatology, Instituto Investigacion Sanitaria-Hospital Clinico Universitario de Santiago, Santiago de Compostela, Spain
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7
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Guo J, Zhang T, Cao H, Li X, Liang H, Liu M, Zou Y, Zhang Y, Wang Y, Sun X, Hu F, Du Y, Mo X, Liu X, Yang Y, Yang H, Wu X, Zhang X, Jia H, Jiang H, Hou Y, Liu X, Su Y, Zhang M, Yang H, Wang J, Sun L, Liu L, Padyukov L, Lai L, Yamamoto K, Zhang X, Klareskog L, Xu X, Li Z. Sequencing of the MHC region defines HLA-DQA1 as the major genetic risk for seropositive rheumatoid arthritis in Han Chinese population. Ann Rheum Dis 2019; 78:773-780. [PMID: 30936065 DOI: 10.1136/annrheumdis-2018-214725] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 03/06/2019] [Accepted: 03/09/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The strong genetic contribution of the major histocompatibility complex (MHC) region to rheumatoid arthritis (RA) has been generally attributed to human leukocyte antigen (HLA)-DRB1. However, due to the high polymorphisms and linkage disequilibrium within MHC, it is difficult to define novel and/or independent genetic risks using conventional HLA genotyping or chip-based microarray technology. This study aimed to identify novel RA risk variants by performing deep sequencing for MHC. METHODS We first conducted target sequencing for the entire MHC region in 357 anticitrullinated protein antibodies (ACPA)-positive patients with RA and 1001 healthy controls, and then performed HLA typing in an independent case-control cohort consisting of 1415 samples for validation. All study subjects were Han Chinese. Genetic associations for RA susceptibility and severity were analysed. Comparative modelling was constructed to predict potential functions for the newly discovered RA association variants. RESULTS HLA-DQα1:160D conferred the strongest and independent susceptibility to ACPA-positive RA (p=6.16×10-36, OR=2.29). DRβ1:37N had an independent protective effect (p=5.81×10-16, OR=0.49). As predicted by comparative modelling, the negatively charged DQα1:160D stabilises the dimer of dimers, thus may lead to an increased T cell activation. The negatively charged DRβ1:37N encoding alleles preferentially bind with epitope P9 arginine, thus may result in a decreased RA susceptibility. CONCLUSIONS We provide the first evidence that HLA-DQα1:160D, instead of HLA-DRB1*0405, is the strongest and independent genetic risk for ACPA-positive RA in Han Chinese. Our study also illustrates the value of deep sequencing for fine-mapping disease risk variants in the MHC region.
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Affiliation(s)
- Jianping Guo
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China .,Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Tao Zhang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Hongzhi Cao
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,Shenzhen Digital Life Institute, Shenzhen, China.,iCarbonX, Shenzhen, China
| | - Xiaowei Li
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Hao Liang
- BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Peking-Tsinghua Center for Life Sciences at College of Chemistry and Molecular Engineering, and Center for Quantitative Biology, Peking University, Beijing, China
| | - Mengru Liu
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Yundong Zou
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Yuanwei Zhang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Yuxuan Wang
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Xiaolin Sun
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China.,Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Fanlei Hu
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China.,Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Yan Du
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Xiaodong Mo
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Xu Liu
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Yue Yang
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Huanjie Yang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Xinyu Wu
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Xuewu Zhang
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Huijue Jia
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Hui Jiang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Yong Hou
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Xin Liu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Yin Su
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China.,Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China
| | - Mingrong Zhang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Huanming Yang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,James D Watson Institute of Genome Sciences, Hangzhou, China
| | - Jian Wang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.,James D Watson Institute of Genome Sciences, Hangzhou, China
| | - Liangdan Sun
- Institute of Dermatology and Department of Dermatology, No 1 Hospital of Anhui Medical University, Hefei, China
| | - Liang Liu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau, China
| | - Leonid Padyukov
- Rheumatology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Luhua Lai
- BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Peking-Tsinghua Center for Life Sciences at College of Chemistry and Molecular Engineering, and Center for Quantitative Biology, Peking University, Beijing, China
| | - Kazuhiko Yamamoto
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Xuejun Zhang
- Institute of Dermatology and Department of Dermatology, No 1 Hospital of Anhui Medical University, Hefei, China .,Institute of Dermatology and Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Lars Klareskog
- Rheumatology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Xun Xu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China .,China National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen, China
| | - Zhanguo Li
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China .,Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.,State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China
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8
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Alrogy A, Dirar A, Alrogy W, Fakhoury H, Hajeer A. Association of human leukocyte antigen DRB1 with anti-cyclic citrullinated peptide autoantibodies in Saudi patients with rheumatoid arthritis. Ann Saudi Med 2017; 37:38-41. [PMID: 28151455 PMCID: PMC6148974 DOI: 10.5144/0256-4947.2017.38] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND The genetic association between human leukocyte antigen (HLA)-DRB1 alleles and the risk of development of autoantibodies has been investigated, but there are few studies from the Gulf region. OBJECTIVES To investigate the association between the HLA-DRB1 shared epitope and the risk for development of autoantibodies in rheumatoid arthritis (RA) patients in a Saudi population. DESIGN Analytical cross-sectional study. SETTING Tertiary care hospital in Riyadh, Saudi Arabia. PATIENTS AND METHODS We enrolled consecutive Saudi RA patients attending the rheumatology clinic between January and April 2015. Previously published data on HLA typing on unmatched healthy controls were used for comparison. HLA typing was performed using sequence-specific oligonucleotide probes (SSOP). Rheumatoid factor (RF), anti-cyclic citrullinated peptide (anti-CCP) antibodies, and antinuclear antibodies (ANA) were also measured. Logistic regression analysis was used to study the autoantibodies as possible explanatory variables for the presence of the HLA-DRB1 shared epitope. MAIN OUTCOME MEASURE(S) The association between the presence of the shared epitope and the risk of developing anti-CCP antibodies, ANA, and RF. RESULTS In 76 patients with RA, carrying the shared epitope was associated with a significantly higher risk of having RA [OR=2.65, 95% CI (1.42-4.94), P=.0009]. However, only HLA-DRB1*04:05 was significantly as.sociated with RA [OR=3.73, 95% CI (1.61-8.96), Pc=.016]. In the logistic regression analysis, only anti-CCP was significantly associated with the shared epitope [OR=14.51, 95% CI (1.53-137.49), P=.02]. CONCLUSIONS Our analysis indicates that the presence of the HLA-DRB1 shared epitope is strongly associated with the development of anti-CCP antibodies in Saudi patients with RA. LIMITATIONS A larger sample size is needed to confirm our finding.
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Affiliation(s)
| | | | | | | | - Ali Hajeer
- Prof. Ali Hajeer, King Saud bin Abdulaziz University for Health Sciences,, Immunology, National Guard Health Affairs,, Riyadh, 11426, Saudi Arabia, T: 966-11-4294047, F: 966-11-2520130, , ORCID: orcid.org/0000-0003-2727-9964
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9
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Mariaselvam CM, Fortier C, Charron D, Krishnamoorthy R, Tamouza R, Negi VS. HLA class II alleles influence rheumatoid arthritis susceptibility and autoantibody status in South Indian Tamil population. HLA 2016; 88:253-258. [DOI: 10.1111/tan.12910] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 09/05/2016] [Accepted: 09/19/2016] [Indexed: 12/13/2022]
Affiliation(s)
- C. M. Mariaselvam
- Department of Clinical Immunology; Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER); Puducherry India
- INSERM, UMRS 1160, Saint Louis Hospital; Paris France
| | - C. Fortier
- Jean Dausset Laboratory of Immunology and Immunogenetics and LabExTransplantex; Saint Louis Hospital; Paris France
| | - D. Charron
- INSERM, UMRS 1160, Saint Louis Hospital; Paris France
- Jean Dausset Laboratory of Immunology and Immunogenetics and LabExTransplantex; Saint Louis Hospital; Paris France
| | | | - R. Tamouza
- INSERM, UMRS 1160, Saint Louis Hospital; Paris France
- Jean Dausset Laboratory of Immunology and Immunogenetics and LabExTransplantex; Saint Louis Hospital; Paris France
| | - V. S. Negi
- Department of Clinical Immunology; Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER); Puducherry India
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10
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Affiliation(s)
- Jianping Guo
- Department of Rheumatology and Immunology; Peking University People's Hospital; Beijing China
| | - Zhanguo Li
- Department of Rheumatology and Immunology; Peking University People's Hospital; Beijing China
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Wang J, Zhang H, Wang GQ, Quan Y. HLA-DRB1 gene polymorphisms and its associations with rheumatoid arthritis in Chinese Han women of Shaanxi province, northwest of China. Int J Immunogenet 2015; 43:25-31. [PMID: 26615796 DOI: 10.1111/iji.12242] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 09/24/2015] [Accepted: 10/25/2015] [Indexed: 11/28/2022]
Affiliation(s)
- J. Wang
- Second Department of Rheumatology; The Fifth Hospital of Xi'an City; Xi'an China
| | - H. Zhang
- Department of Gynecology; Tumor Hospital of Shaanxi Province; Xi'an China
| | - G.-Q. Wang
- Department of Gynecology; Tumor Hospital of Shaanxi Province; Xi'an China
| | - Y. Quan
- Second Department of Rheumatology; The Fifth Hospital of Xi'an City; Xi'an China
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Louthrenoo W, Kasitanon N, Wangkaew S, Kuwata S, Takeuchi F. Distribution of HLA-DR alleles among Thai patients with rheumatoid arthritis. Hum Immunol 2015; 76:113-7. [DOI: 10.1016/j.humimm.2015.01.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Revised: 09/01/2014] [Accepted: 01/15/2015] [Indexed: 12/09/2022]
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Abstract
In the past two decades, Chinese rheumatology has developed rapidly in terms of both clinical practice and basic research. Many rheumatology departments and divisions have been established, creating positions for more residents to join rheumatology practices. Numerous studies of rheumatic diseases have been published in recent years by Chinese rheumatologists and immunologists, supported by government funding that has dramatically increased over the past few years. These studies are focused mainly on epidemiology, mechanisms, early diagnosis and interventions of rheumatic diseases. Increasing numbers of national and international scientific activities in China, including research collaborations, education programmes and conferences have greatly helped the development of rheumatology. In this APLAR series article, the major, high-impact studies and latest developments in Chinese rheumatology are reviewed.
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Caucasian origin of disease associated HLA haplotypes in chinese blood donors with IgA deficiency. J Clin Immunol 2014; 34:157-62. [PMID: 24402621 DOI: 10.1007/s10875-013-9983-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Accepted: 12/20/2013] [Indexed: 02/07/2023]
Abstract
PURPOSE Selective immunoglobulin A deficiency (IgAD) is the most common primary immunodeficiency in Caucasians with a prevalence of 1:600. However, the prevalence of IgAD is markedly lower in East Asian countries but no genetic studies have been performed on IgAD individuals in the Mongoloid population. METHODS We investigated the prevalence of IgAD in a large number of Chinese blood donors (n = 39,015) in Shanghai, China. We measured immunoglobulin class, IgG subclass and anti-IgA serum levels among the IgAD donors. These donors were subsequently tissue typed and the allele frequency was compared with the Shanghai bone marrow donor HLA registry. RESULTS Seventeen IgAD Chinese blood donors were identified, giving a prevalence of 1: 2,295. Two previously identified IgAD blood donor samples were added in the subsequent tests. Most IgAD donors had serum IgG levels above the normal range with no major IgG subclass deficiency and one donor was weakly positive for anti-IgA. Two-thirds of the Chinese IgAD donors carried Caucasian IgAD associated risk haplotypes, including DRB1*0301-DQB1*0201, DRB1*0701-DQB1*0202 and DRB1*0102-DQB1*0501, giving a significantly higher frequency of these haplotypes as compared to the Shanghai bone marrow donor HLA registry. CONCLUSIONS The prevalence of IgAD in Chinese in this study is markedly lower than in Caucasians. This is the first study to investigate the genetics of IgAD in the Mongoloid population and two-thirds of the Chinese IgAD donors showed a mixture of Caucasian IgAD risk haplotypes. The low prevalence of IgAD could potentially be due to the low frequency of the disease associated risk haplotypes in China.
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