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Caragea MA, Ursu IR, Visan DL, Maruntelu I, Iordache P, Constantinescu A, Tizu M, Tălăngescu A, Constantinescu I. High-Resolution HLA-DRB1 Allele Frequencies in a Romanian Cohort of Stem Cell Donors. Balkan J Med Genet 2024; 27:43-49. [PMID: 39263643 PMCID: PMC11385019 DOI: 10.2478/bjmg-2024-0009] [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] [Indexed: 09/13/2024] Open
Abstract
The goal of the current study was to determine the high-resolution frequencies of the HLA-DRB1 alleles among the analyzed Romanian cohort of healthy stem cell donors. Using Next Generation Sequencing (NGS), we estimated class II HLA-DRB1 allele frequencies to a 6-digit resolution through HLA typing in a Romanian cohort of healthy individuals. The study for HLA genotyping included 420 willing donors from the National Registry of Voluntary Hematopoietic Stem Cell Donors (RNDVCSH). In 2020 and 2021, peripheral blood samples were collected and transported to the Fundeni Clinical Institute. We used the Immucor Mia Fora NGS MFlex kit for HLA genotyping. Forty-one different alleles were detected in 420 analyzed samples, out of which the most frequent HLA-DRB1 alleles were DRB1*16:01:01 (12.6%), DRB1*11:04:01 (12.1%) and DRB1*03:01:01 (12%). The HLA-DRB1*11:01:02 and -DRB1*08:04:01, -DRB1*05:01:01, -DRB1*13:05:01, -DRB1*14:07:01, -DRB1*09:01:02, -DRB1*11:02:01, -DRB1*04:07:01, -DRB1*15:03:01, -DRB1*03:02:01, -DRB1*04:06:02, -DRB1*04:08:01, -DRB1*14:05:01 were identified only once. The results revealed similarities with countries belonging to the Eastern Europe, the Balkans and the Caucasus regions. Further studies on larger Romanian cohorts are needed for confirming the current results.
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Affiliation(s)
- M A Caragea
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Center for Immunogenetics and Virology, Fundeni Clinical Institute, Bucharest, Romania
| | - I R Ursu
- Carol Davila University of Medicine and Pharmacy, Department of Medical Genetics, Bucharest, Romania
| | - D L Visan
- Center for Immunogenetics and Virology, Fundeni Clinical Institute, Bucharest, Romania
| | - I Maruntelu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Center for Immunogenetics and Virology, Fundeni Clinical Institute, Bucharest, Romania
| | - P Iordache
- Carol Davila University of Medicine and Pharmacy, Department of Epidemiology, Bucharest, Romania
| | - A Constantinescu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - M Tizu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Center for Immunogenetics and Virology, Fundeni Clinical Institute, Bucharest, Romania
| | - A Tălăngescu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Center for Immunogenetics and Virology, Fundeni Clinical Institute, Bucharest, Romania
| | - I Constantinescu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Center for Immunogenetics and Virology, Fundeni Clinical Institute, Bucharest, Romania
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Liu Y, Wang CW, Chen CB, Yu KH, Wu YJ, Choon SE, Chang WC, Yang F, Luo XQ, Chung WH, Zhao M, Lu QJ. DNA methylation of ITGB2 contributes to allopurinol hypersensitivity. Clin Immunol 2023; 248:109250. [PMID: 36738816 DOI: 10.1016/j.clim.2023.109250] [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: 01/17/2023] [Revised: 01/28/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUNDS HLA-B*58:01 allele was strongly associated with allopurinol induced severe cutaneous adverse drug reaction (SCAR). However, HLA-B genotype is not sufficient to predict the occurrence of allopurinol-induced SCAR. OBJECTIVE To discover DNA methylation markers for allopurinol-induced SCAR which may improve the prediction accuracy of genetic testing. STUDY DESIGN The study was designed as a retrospective case-control clinical study in multicenter hospitals across Taiwan, Mainland China, Malaysia and Canada. 125 cases of allopurinol-induced SCAR patients and 139 cases of allopurinol tolerant controls were enrolled in this study during 2005 to 2021. RESULTS The results of genome-wide DNA methylation assay of 62 patients revealed that ITGB2 showed strong discriminative ability of allopurinol-induced SCAR in both HLA-B*58:01 positive and negative patients with AUC value of 0.9364 (95% CI 0.8682-1.000). In validation study, significant hypermethylation of ITGB2 were further validated in allopurinol-induced SCAR patients compared to tolerant controls, especially in those without HLA-B*58:01(AUC value of 0.8814 (95% CI 0.7121-1.000)). Additionally, the methylation levels of 2 sites on ITGB2 were associated with SCAR phenotypes. Combination of HLA-B*58:01 genotyping and ITGB2 methylation status could improve the prediction accuracy of allopurinol-induced SCAR with the AUC value up to 0.9387 (95% CI 0.9089-0.9684), while the AUC value of HLA-B*58:01 genotyping alone was 0.8557 (95% CI 0.8030-0.9083). CONCLUSIONS Our study uncovers differentially methylated genes between allopurinol-induced SCAR patients and tolerant controls with positive or negative HLA-B*58:01 allele and provides the novel epigenetic marker that improves the prediction accuracy of genetic testing for prevention of allopurinol-induced SCAR.
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Affiliation(s)
- Yu Liu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chuang-Wei Wang
- Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Linkou, Taipei and Keelung, Taiwan China; Cancer Vaccine and Immune Cell Therapy Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan China; Chang Gung Immunology Consortium, Chang Gung Memorial Hospital and Chang Gung University, China; Department of Dermatology, Xiamen Chang Gung Hospital, Xiamen, China
| | - Chun-Bing Chen
- Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Linkou, Taipei and Keelung, Taiwan China; Cancer Vaccine and Immune Cell Therapy Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan China; Chang Gung Immunology Consortium, Chang Gung Memorial Hospital and Chang Gung University, China; Department of Dermatology, Xiamen Chang Gung Hospital, Xiamen, China; Immune-Oncology Center of Excellence, Chang Gung Memorial Hospital, Linkou, Taiwan China; College of Medicine, Chang Gung University, Taoyuan, Taiwan China
| | - Kuang-Hui Yu
- College of Medicine, Chang Gung University, Taoyuan, Taiwan China; Division of Rheumatology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan China
| | - Yeong-Jian Wu
- College of Medicine, Chang Gung University, Taoyuan, Taiwan China; Division of Allergy, Immunology and Rheumatology, Department of Medicine, Chang Gung Memorial Hospital, Keelung and Linkou, Taiwan China
| | - Siew-Eng Choon
- Hospital Sultanah Aminah, Clinical School Johor Bahru, Jeffrey Cheah School of Medicine and Health Sciences, Monash University, Malaysia
| | - Wan-Chun Chang
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Fanping Yang
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiao-Qun Luo
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Wen-Hung Chung
- Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Linkou, Taipei and Keelung, Taiwan China; Cancer Vaccine and Immune Cell Therapy Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan China; Chang Gung Immunology Consortium, Chang Gung Memorial Hospital and Chang Gung University, China; Department of Dermatology, Xiamen Chang Gung Hospital, Xiamen, China; Immune-Oncology Center of Excellence, Chang Gung Memorial Hospital, Linkou, Taiwan China; College of Medicine, Chang Gung University, Taoyuan, Taiwan China; Whole-Genome Research Core Laboratory of Human Diseases, Chang Gung Memorial Hospital, Keelung, Taiwan China; Department of Dermatology, Beijing Tsinghua Chang Gung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China; School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Genomic Medicine Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan China.
| | - Ming Zhao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China.
| | - Qian-Jin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China; Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China; Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China.
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HLA-A, -B, -C, -DRB1 and -DQB1 allele and haplotype frequencies in Lebanese and their relatedness to neighboring and distant populations. BMC Genomics 2022; 23:456. [PMID: 35725365 PMCID: PMC9208108 DOI: 10.1186/s12864-022-08682-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 06/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This study examined the origin of present-day Lebanese using high-resolution HLA class I and class II allele and haplotype distributions. The study subjects comprised 152 unrelated individuals, and their HLA class I and class II alleles and two-locus and five-locus haplotypes were compared with those of neighboring and distant communities using genetic distances, neighbor-joining dendrograms, correspondence, and haplotype analyses. HLA class I (A, B, C) and class II (DRB1, DQB1) were genotyped at a high-resolution level by PCR-SSP. RESULTS In total, 76 alleles across the five HLA loci were detected: A*03:01 (17.1%), A*24:02 (16.5%), B*35:01 (25.7%), C*04:01 (25.3%), and C*07:01 (20.7%) were the most frequent class I alleles, while DRB1*11:01 (34.2%) and DQB1*03:01 (43.8%) were the most frequent class II alleles. All pairs of HLA loci were in significant linkage disequilibrium. The most frequent two-locus haplotypes recorded were DRB1*11:01 ~ DQB1*03:01 (30.9%), B*35:01-C*04:01 (20.7%), B*35:01 ~ DRB1*11:01 (13.8%), and A*24:02 ~ B*35:01 (10.3%). Lebanese appear to be closely related to East Mediterranean communities such as Levantines (Palestinians, Syrians, and Jordanians), Turks, Macedonians, and Albanians. However, Lebanese appear to be distinct from North African, Iberian, and Sub-Saharan communities. CONCLUSIONS Collectively, this indicates a limited genetic contribution of Arabic-speaking populations (from North Africa or the Arabian Peninsula) and Sub-Saharan communities to the present-day Lebanese gene pool. This confirms the notion that Lebanese population are of mixed East Mediterranean and Asian origin, with a marked European component.
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Avetyan D, Hakobyan S, Nikoghosyan M, Ghukasyan L, Khachatryan G, Sirunyan T, Muradyan N, Zakharyan R, Chavushyan A, Hayrapetyan V, Hovhannisyan A, Mohamed Bakhash SA, Jerome KR, Roychoudhury P, Greninger AL, Niazyan L, Davidyants M, Melik-Andreasyan G, Sargsyan S, Nersisyan L, Arakelyan A. Molecular Analysis of SARS-CoV-2 Lineages in Armenia. Viruses 2022; 14:1074. [PMID: 35632815 PMCID: PMC9142918 DOI: 10.3390/v14051074] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/04/2022] [Accepted: 05/13/2022] [Indexed: 12/11/2022] Open
Abstract
The sequencing of SARS-CoV-2 provides essential information on viral evolution, transmission, and epidemiology. In this paper, we performed the whole-genome sequencing of SARS-CoV-2 using nanopore and Illumina sequencing to describe the circulation of the virus lineages in Armenia. The analysis of 145 full genomes identified six clades (19A, 20A, 20B, 20I, 21J, and 21K) and considerable intra-clade PANGO lineage diversity. Phylodynamic and transmission analysis allowed to attribute specific clades as well as infer their importation routes. Thus, the first two waves of positive case increase were caused by the 20B clade, the third peak caused by the 20I (Alpha), while the last two peaks were caused by the 21J (Delta) and 21K (Omicron) variants. The functional analyses of mutations in sequences largely affected epitopes associated with protective HLA loci and did not cause the loss of the signal in PCR tests targeting ORF1ab and N genes as confirmed by RT-PCR. We also compared the performance of nanopore and Illumina short-read sequencing and showed the utility of nanopore sequencing as an efficient and affordable alternative for large-scale molecular epidemiology research. Thus, our paper describes new data on the genomic diversity of SARS-CoV-2 variants in Armenia in the global context of the virus molecular genomic surveillance.
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Affiliation(s)
- Diana Avetyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
| | - Siras Hakobyan
- Bioinformatics Group, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia;
- Armenian Bioinformatics Institute, Yerevan 0014, Armenia;
| | - Maria Nikoghosyan
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
- Bioinformatics Group, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia;
| | - Lilit Ghukasyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
| | - Gisane Khachatryan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
| | - Tamara Sirunyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
| | - Nelli Muradyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
| | - Roksana Zakharyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
| | - Andranik Chavushyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
- Davidyants Laboratories, Yerevan 0054, Armenia
| | - Varduhi Hayrapetyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
| | - Anahit Hovhannisyan
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
- Laboratory of Evolutionary Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia
| | - Shah A. Mohamed Bakhash
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98102, USA; (S.A.M.B.); (K.R.J.); (P.R.); (A.L.G.)
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Keith R. Jerome
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98102, USA; (S.A.M.B.); (K.R.J.); (P.R.); (A.L.G.)
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Pavitra Roychoudhury
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98102, USA; (S.A.M.B.); (K.R.J.); (P.R.); (A.L.G.)
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Alexander L. Greninger
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98102, USA; (S.A.M.B.); (K.R.J.); (P.R.); (A.L.G.)
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Lyudmila Niazyan
- NORK Infection Clinical Hospital, MoH RA, Yerevan 0047, Armenia; (L.N.); (M.D.)
| | - Mher Davidyants
- NORK Infection Clinical Hospital, MoH RA, Yerevan 0047, Armenia; (L.N.); (M.D.)
| | - Gayane Melik-Andreasyan
- National Center of Disease Control and Prevention, Ministry of Health RA, Yerevan 0025, Armenia; (G.M.-A.); (S.S.)
| | - Shushan Sargsyan
- National Center of Disease Control and Prevention, Ministry of Health RA, Yerevan 0025, Armenia; (G.M.-A.); (S.S.)
| | - Lilit Nersisyan
- Armenian Bioinformatics Institute, Yerevan 0014, Armenia;
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17177 Solna, Sweden
| | - Arsen Arakelyan
- Laboratory of Human Genomics, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia; (L.G.); (G.K.); (T.S.); (N.M.); (R.Z.); (A.C.); (V.H.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia; (M.N.); (A.H.)
- Bioinformatics Group, Institute of Molecular Biology NAS RA, Yerevan 0014, Armenia;
- Armenian Bioinformatics Institute, Yerevan 0014, Armenia;
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Hovhannisyan A, Madelian V, Avagyan S, Nazaretyan M, Hyussyan A, Sirunyan A, Arakelyan R, Manukyan Z, Yepiskoposyan L, Mayilyan KR, Jordan F. HLA-C*04:01 Affects HLA Class I Heterozygosity and Predicted Affinity to SARS-CoV-2 Peptides, and in Combination With Age and Sex of Armenian Patients Contributes to COVID-19 Severity. Front Immunol 2022; 13:769900. [PMID: 35185875 PMCID: PMC8850920 DOI: 10.3389/fimmu.2022.769900] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 01/13/2022] [Indexed: 12/14/2022] Open
Abstract
The novel SARS-CoV-2 coronavirus infection has become a global health concern, causing the COVID-19 pandemic. The disease symptoms and outcomes depend on the host immunity, in which the human leukocyte antigen (HLA) molecules play a distinct role. The HLA alleles have an inter-population variability, and understanding their link to the COVID-19 in an ethnically distinct population may contribute to personalized medicine. The present study aimed at detecting associations between common HLA alleles and COVID-19 susceptibility and severity in Armenians. In 299 COVID-19 patients (75 asymptomatic, 102 mild/moderate, 122 severe), the association between disease severity and classic HLA-I and II loci was examined. We found that the advanced age, male sex of patients, and sex and age interaction significantly contributed to the severity of the disease. We observed that an age-dependent effect of HLA-B*51:01 carriage [odds ratio (OR)=0.48 (0.28-0.80), Pbonf <0.036] is protective against severe COVID-19. Contrary, the HLA-C*04:01 allele, in a dose-dependent manner, was associated with a significant increase in the disease severity [OR (95% CI) =1.73 (1.20-2.49), Pbonf <0.021] and an advancing age (P<0.013). The link between HLA-C*04:01 and age was secondary to a stronger association between HLA-C*04:01 and disease severity. However, HLA-C*04:01 exerted a sex-dependent differential distribution between clinical subgroups [females: P<0.0012; males: P=0.48]. The comparison of HLA-C*04:01 frequency between subgroups and 2,781 Armenian controls revealed a significant incidence of HLA-C*04:01 deficiency in asymptomatic COVID-19. HLA-C*04:01 homozygous genotype in patients blueprinted a decrease in heterozygosity of HLA-B and HLA class-I loci. In HLA-C*04:01 carriers, these changes translated to the SARS-CoV-2 peptide presentation predicted inefficacy by HLA-C and HLA class-I molecules, simultaneously enhancing the appropriate HLA-B potency. In patients with clinical manifestation, due to the high prevalence of HLA-C*04:01, these effects provided a decrease of the HLA class-I heterozygosity and an ability to recognize SARS-CoV-2 peptides. Based on our observations, we developed a prediction model involving demographic variables and HLA-C*04:01 allele for the identification of potential cases with the risk of hospitalization (the area under the curve (AUC) = 86.2%) or severe COVID-19 (AUC =71%).
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Affiliation(s)
- Anahit Hovhannisyan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
- Russian-Armenian University, Yerevan, Armenia
| | - Vergine Madelian
- Armenian Bone Marrow Donor Registry Charitable Trust, Yerevan, Armenia
| | - Sevak Avagyan
- Armenian Bone Marrow Donor Registry Charitable Trust, Yerevan, Armenia
| | - Mihran Nazaretyan
- Armenian Bone Marrow Donor Registry Charitable Trust, Yerevan, Armenia
| | - Armine Hyussyan
- Armenian Bone Marrow Donor Registry Charitable Trust, Yerevan, Armenia
| | - Alina Sirunyan
- Armenian Bone Marrow Donor Registry Charitable Trust, Yerevan, Armenia
| | | | | | | | - Karine R. Mayilyan
- Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
| | - Frieda Jordan
- Armenian Bone Marrow Donor Registry Charitable Trust, Yerevan, Armenia
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Abedini F, Rahmanian N, Heidari Z, Feizi A, Sherkat R, Rezaei M. Diversity of HLA class I and class II alleles in Iran populations: Systematic review and Meta-Analaysis. Transpl Immunol 2021; 69:101472. [PMID: 34555503 DOI: 10.1016/j.trim.2021.101472] [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: 08/21/2021] [Revised: 09/16/2021] [Accepted: 09/16/2021] [Indexed: 10/20/2022]
Abstract
The human leukocyte antigen (HLA) system plays an essential role in the peptides antigen presentation and more regulation of immune responses. Regarding all HLA molecules' associations with various diseases and their clinical utilities in understanding drug reactions or prediction of transplantation outcome, there is a need for much more extensive HLA data generated from Asian countries. METHOD A comprehensive search was conducted in electronic databases between 1990 and 2021 to identify relevant articles to HLA frequency in the normal Iranian population. Two independent reviewers screened and selected the eligible studies. After data extraction, the meta-analysis was performed using STATA version 14. The overall frequencies and their 95% confidence intervals (CIs) were obtained using the random-effects model. RESULTS Among 1141 studies 78 were eligible for this study and the sample sizes varied from 14 to 15,600. The most frequent alleles of HLA class I were HLA-A*02 (22%; 95%CI: 20-24%; I2 = 88.63%), -B*35 (18%; 95%CI: 16-21%; I2 = 90.95%), -C*12 (18%; 95%CI: 13-22%; I2 = 89.51%). HLA-DQA1*01 (42%; 95%CI: 40-44%; I2 = 56.80%), -DQB1*03 (38%; 95%CI: 35-42%; I2 = 92.38%), and -DRB1*11 (24%; 95%CI: 22-26%; I2 = 90.72%) were the most frequent alleles of HLA class II in Iran. DISCUSSION Our meta-analysis results point out that the comprehensive report of HLA allele frequency in the Iranian population could be helpful as reference data for planning and managing transplantation and immune disease treatment in Iran.
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Affiliation(s)
- Fateme Abedini
- Cancer Prevention Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Narges Rahmanian
- Cancer Prevention Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Zahra Heidari
- Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical sciences, Isfahan, Iran
| | - Awat Feizi
- Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical sciences, Isfahan, Iran
| | - Roya Sherkat
- Acquired Immunodeficiency Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marzieh Rezaei
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
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Analysis of HLA-B allele polymorphism in North Indian population: Experience at tertiary care centre. GENE REPORTS 2021. [DOI: 10.1016/j.genrep.2020.100996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Hajjej A, Saldhana FL, Dajani R, Almawi WY. HLA-A, -B, -C, -DRB1 and -DQB1 allele and haplotype frequencies and phylogenetic analysis of Bahraini population. Gene 2020; 735:144399. [PMID: 32001374 DOI: 10.1016/j.gene.2020.144399] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 12/21/2019] [Accepted: 01/23/2020] [Indexed: 11/30/2022]
Abstract
The origin of Arab-speaking population is classified according to their geographical location, ethnic background, and historical influx of nearby and distant populations. Data on HLA class I and class II loci in (Arabian Peninsula) Bahraini population are lacking. We analyzed HLA genetic profile of Bahrainis with neighboring communities, and with Levantines, North Africans, Sub-Saharans, Europeans, and Asians, using genetic distances, neighbor-joining dendrograms, correspondence and haplotype analysis. HLA class I and class II genotyping were done by high resolution PCR-SSP in 175 Bahraini subjects. In total, 19 HLA-A, 33 HLA-B, 15 HLA-C, 14 DRB1 and 7 DQB1 alleles were identified. The most common class I alleles were A*02:01:01 (18.3%), A*01:01:01(15.4%), B*35:01:02 (12.9%), C*12:01:01 (15.1%), and C*04:01:01 (14.9%), while DRB1*03:01:01 (18.0%), DQB1*02:01:01 (29.1%), and DQB1*05:01:01 (24.9%) were the most frequent class II alleles. Significant linkage disequilibrium was seen between all HLA loci pairs. DRB1*03:01:01-DQB1*02:01:01 (15.18%) was the most frequent two-locus haplotype. Significant negative Fnd values were observed, indicating balancing selection at studied loci. Bahrainis appear to be related to Western Mediterranean (North Africans, Iberians and French), but relatively distinct from Levantines (Palestinians, Lebanese, and Jordanians) and Sub-Saharans. This indicates limited genetic contribution of Levantine Arabs and Sub-Saharans to the Bahraini gene pool.
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Affiliation(s)
- Abdelhafidh Hajjej
- Department of Immunogenetics, National Blood Transfusion Center, Tunis, Tunisia
| | - F Lisa Saldhana
- Faculte' des Sciences de Tunis, Universite' de Tunis El Manar, Tunis, Tunisia
| | - Rana Dajani
- Department of Biology, Hashemite University, Zarqa, Jordan
| | - Wassim Y Almawi
- Faculte' des Sciences de Tunis, Universite' de Tunis El Manar, Tunis, Tunisia; School of Medicine, Nazarbayev University, Astana, Kazakhstan.
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9
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Tokić S, Žižkova V, Štefanić M, Glavaš-Obrovac L, Marczi S, Samardžija M, Sikorova K, Petrek M. HLA-A, -B, -C, -DRB1, -DQA1, and -DQB1 allele and haplotype frequencies defined by next generation sequencing in a population of East Croatia blood donors. Sci Rep 2020; 10:5513. [PMID: 32218484 PMCID: PMC7099076 DOI: 10.1038/s41598-020-62175-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Accepted: 03/03/2020] [Indexed: 12/14/2022] Open
Abstract
Next-generation sequencing (NGS) is increasingly used in transplantation settings, but also as a method of choice for in-depth analysis of population-specific HLA genetic architecture and its linkage to various diseases. With respect to complex ethnic admixture characteristic for East Croatian population, we aimed to investigate class-I (HLA-A, -B, -C) and class-II (HLA-DRB1, -DQA1, -DQB1) HLA diversity at the highest, 4-field resolution level in 120 healthy, unrelated, blood donor volunteers. Genomic DNA was extracted and HLA genotypes of class I and DQA1 genes were defined in full-length, -DQB1 from intron 1 to 3′ UTR, and -DRB1 from intron 1 to intron 4 (Illumina MiSeq platform, Omixon Twin algorithms, IMGT/HLA release 3.30.0_5). Linkage disequilibrium statistics, Hardy-Weinberg departures, and haplotype frequencies were inferred by exact tests and iterative Expectation-Maximization algorithm using PyPop 0.7.0 and Arlequin v3.5.2.2 software. Our data provide first description of 4-field allele and haplotype frequencies in Croatian population, revealing 192 class-I and class-II alleles and extended haplotypic combinations not apparent from the existing 2-field HLA reports from Croatia. This established reference database complements current knowledge of HLA diversity and should prove useful in future population studies, transplantation settings, and disease-associated HLA screening.
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Affiliation(s)
- Stana Tokić
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Osijek, J. Huttlera 4, HR-31000, Osijek, Croatia.
| | - Veronika Žižkova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacký University, Hnevotinska 3, 775 15, Olomouc, Czech Republic
| | - Mario Štefanić
- Department of Nuclear Medicine and Oncology, Faculty of Medicine, University of Osijek, J. Huttlera 4, HR-31000, Osijek, Croatia.
| | - Ljubica Glavaš-Obrovac
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Osijek, J. Huttlera 4, HR-31000, Osijek, Croatia
| | - Saška Marczi
- Department of Laboratory Diagnostics and Clinical Transfusion Medicine, Clinical Institute of Transfusion Medicine, Osijek University Hospital, J. Huttlera 4, HR-31000, Osijek, Croatia
| | - Marina Samardžija
- Department of Laboratory Diagnostics and Clinical Transfusion Medicine, Clinical Institute of Transfusion Medicine, Osijek University Hospital, J. Huttlera 4, HR-31000, Osijek, Croatia
| | - Katerina Sikorova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacký University, Hnevotinska 3, 775 15, Olomouc, Czech Republic
| | - Martin Petrek
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacký University, Hnevotinska 3, 775 15, Olomouc, Czech Republic.
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10
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Chen N, Wang W, Wang F, Dong L, Zhao S, Zhang W, He J, Huang H, Zhu F. The distributions of HLA-A, HLA-B, HLA-C, HLA-DRB1 and HLA-DQB1 allele and haplotype at high-resolution level in Zhejiang Han population of China. Int J Immunogenet 2018; 46:7-16. [DOI: 10.1111/iji.12411] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 10/16/2018] [Accepted: 11/25/2018] [Indexed: 01/03/2023]
Affiliation(s)
- Nanying Chen
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine; Zhejiang University; Hangzhou China
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
| | - Wei Wang
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
| | - Fang Wang
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
| | - Lina Dong
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
| | - Shuoxian Zhao
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
| | - Wei Zhang
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
| | - Ji He
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
| | - He Huang
- Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine; Zhejiang University; Hangzhou China
| | - Faming Zhu
- Blood Center of Zhejiang Province; Hangzhou China
- Key Laboratory of Blood Safety Research of Zhejiang Province; Hangzhou China
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11
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Martinez-Laso J, Ramirez-Puga A, Rivas-García E, Fernández-Tagarro E, Auyanet-Saavedra I, Guerra-Rodríguez R, Díaz-Novo N, García-Cantón C. North African-Mediterranean HLA genetic contribution in a population of the kidney transplant waiting list patients of Canary origin (Gran Canaria). HLA 2018; 92:12-23. [PMID: 29770608 DOI: 10.1111/tan.13298] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 04/10/2018] [Accepted: 05/09/2018] [Indexed: 11/30/2022]
Abstract
The peopling of the Canary Islands has been widely debated. The mitochondrial DNA and Y-chromosome data support the idea of a Berber genetic origin coming from the North of Africa (maternal) and a later contribution of the Spanish invaders (paternal). The frequencies of the HLA class II alleles from the Tenerife Island (another Canary Island) have previously been published, postulating a Berber and Atlantic/Iberian contributions to the current population. The HLA class I and class II allele frequencies, haplotype frequencies and phylogenetic comparisons were performed in 215 unrelated individuals from Gran Canaria Island (belonging to the kidney transplant waiting list), with at least three generations of ancestors from Canary Islands, in order to study the different ethnical HLA contributions to the genetic background of the Canary Islanders. Results showed the presence of a compound HLA haplotype of putative Phoenician-Berber origin, A*33:01-C*08:02-B*14:02-DRB1*03:01-DQB1*02:01, likely coming from the combination of haplotypes A*30:02-C*05:01-B*18:01-DRB1*03:01-DQB1*02:01 and A*33:01-C*08:02-B*14:02-DRB1*01:02-DQB1*05:01 of North African (probably Berber) and West Asian Mediterranean (probably Phoenician) origins, respectively. The latter haplotypes and others from the same origin (Berber/Phoenician) are also present in the population studied. Besides, other contributions from the North of Europe, North England-Iberian (Atlantic contribution), and Western Europe/Mediterraneans (Spanish colonization) are also discussed. These data conclude that the current genetic background of the Canary Islands inhabitants has been generated over the years by different ways with an original Phoenician-Berber substrate and several genetic contributions generated in different invasions.
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Affiliation(s)
- J Martinez-Laso
- Immunology Unit, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
| | - A Ramirez-Puga
- Nephrology Service, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
| | - E Rivas-García
- Immunology Unit, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
| | - E Fernández-Tagarro
- Nephrology Service, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
| | - I Auyanet-Saavedra
- Nephrology Service, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
| | - R Guerra-Rodríguez
- Nephrology Service, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
| | - N Díaz-Novo
- Nephrology Service, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
| | - C García-Cantón
- Nephrology Service, Complejo Hospitalario Universitario Insular Materno-Infantil, Las Palmas, Spain
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12
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Hajjej A, Almawi WY, Arnaiz-Villena A, Hattab L, Hmida S. The genetic heterogeneity of Arab populations as inferred from HLA genes. PLoS One 2018. [PMID: 29522542 PMCID: PMC5844529 DOI: 10.1371/journal.pone.0192269] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
This is the first genetic anthropology study on Arabs in MENA (Middle East and North Africa) region. The present meta-analysis included 100 populations from 36 Arab and non-Arab communities, comprising 16,006 individuals, and evaluates the genetic profile of Arabs using HLA class I (A, B) and class II (DRB1, DQB1) genes. A total of 56 Arab populations comprising 10,283 individuals were selected from several databases, and were compared with 44 Mediterranean, Asian, and sub-Saharan populations. The most frequent alleles in Arabs are A*01, A*02, B*35, B*51, DRB1*03:01, DRB1*07:01, DQB1*02:01, and DQB1*03:01, while DRB1*03:01-DQB1*02:01 and DRB1*07:01-DQB1*02:02 are the most frequent class II haplotypes. Dendrograms, correspondence analyses, genetic distances, and haplotype analysis indicate that Arabs could be stratified into four groups. The first consists of North Africans (Algerians, Tunisians, Moroccans, and Libyans), and the first Arabian Peninsula cluster (Saudis, Kuwaitis, and Yemenis), who appear to be related to Western Mediterraneans, including Iberians; this might be explained for a massive migration into these areas when Sahara underwent a relatively rapid desiccation, starting about 10,000 years BC. The second includes Levantine Arabs (Palestinians, Jordanians, Lebanese, and Syrians), along with Iraqi and Egyptians, who are related to Eastern Mediterraneans. The third comprises Sudanese and Comorians, who tend to cluster with Sub-Saharans. The fourth comprises the second Arabian Peninsula cluster, made up of Omanis, Emiratis, and Bahrainis. It is noteworthy that the two large minorities (Berbers and Kurds) are indigenous (autochthonous), and are not genetically different from "host" and neighboring populations. In conclusion, this study confirmed high genetic heterogeneity among present-day Arabs, and especially those of the Arabian Peninsula.
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Affiliation(s)
- Abdelhafidh Hajjej
- Department of Immunogenetics, National Blood Transfusion Center, Tunis, Tunisia
- * E-mail:
| | - Wassim Y. Almawi
- Department of Medicine, Harvard Medical School, Boston, MA, United States of America
| | - Antonio Arnaiz-Villena
- Department of Immunology, University Complutense, School of Medicine, Madrid Regional Blood Center, Madrid, Spain
| | - Lasmar Hattab
- Department of Medical Analysis, Hospital of Gabes (Ghannouch), Gabes, Tunisia
| | - Slama Hmida
- Department of Immunogenetics, National Blood Transfusion Center, Tunis, Tunisia
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13
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Kirijas M, Genadieva Stavrik S, Senev A, Efinska Mladenovska O, Petlichkovski A. HLA-A, -B, -C and -DRB1 allele and haplotype frequencies in the Macedonian population based on a family study. Hum Immunol 2017; 79:145-153. [PMID: 29225116 DOI: 10.1016/j.humimm.2017.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 11/07/2017] [Accepted: 12/02/2017] [Indexed: 11/29/2022]
Abstract
AIM The aim of this study was to determine HLA allele and 2-, 3- and 4-loci haplotype frequencies in a sample from Macedonian population with defined haplotypes based on family history. MATERIAL AND METHODS We analysed 286 unrelated individuals with Macedonian origin, parents of patients who needed stem cell transplantation, in the period of 01.01.2003 till 31.12.2016. Allele and haplotype frequencies, as well as Hardy-Weinberg equilibrium were calculated using the Arlequin3.5 software. Population comparison was calculated using the PHYLIP software. RESULTS We identified 18 HLA-A, 26 HLA-B, 13 HLA-C and 13 HLA-DRB1 allele group families. The most frequent allele groups in our population were HLA-A*02 (29.0%), HLA-A*24 (13.8%), HLA-B*35 (16.1%), HLA-B*51 (14.7%), HLA-B*18 (14.7%), HLA-C*07 (27.9%), HLA-DRB1*11 (25.5%) and HLA-DRB1*16 (14.8%). The most frequent four loci haplotype was HLA-A*01-B*08-C*07-DRB1*03 (2.7%). Our comparison showed that the Macedonian population is closely related to the neighbouring countries in the Balkan Peninsula. CONCLUSION This study provides data about the HLA diversity in the Macedonian population, which can be very important in the process of unrelated donor search, and in addition yields control group for future disease association studies in our population.
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Affiliation(s)
- Meri Kirijas
- Institute for Immunobiology and Human Genetics, Medical Faculty, Skopje, Macedonia.
| | - Sonja Genadieva Stavrik
- Bone Marrow Transplantation Unit, University Hematology Clinic, Medical Faculty, Skopje, Macedonia
| | - Aleksandar Senev
- Institute for Immunobiology and Human Genetics, Medical Faculty, Skopje, Macedonia
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14
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Hadadianpour A, Samiee Aref MH, Zeinali S. High-Resolution HLA-A Typing in Normal Iranian Population. IRANIAN BIOMEDICAL JOURNAL 2017; 22:134-7. [PMID: 28952291 PMCID: PMC5786660 DOI: 10.22034/ibj.22.2.134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Background: Human leukocyte antigen (HLA) gene is a highly polymorphic region. HLA typing is required to match patients and donors for transplantation; therefore, development of HLA registries is necessary for finding HLA match donors. HLA system is highly informative, and numerous studies have been conducted on HLA allele distribution in different populations. Methods: In this study, 100 unrelated Iranian individuals were typed for HLA-A locus using sequence-based typing method. Samples were subjected to the PCR, followed by Sanger sequencing and software analysis. Results: A*02:01 (13%) and A*24:02 (12%) were the two most frequent alleles, while A*01:14, A*02:05, A*02:11, A*02:34, A*02:50, A*11:04, A*23:02, A*24:34, A*25:01, A*26:09, A*26:43, A*29:67, A*30:54, A*31:02, A*31:66, A*32:03, A*32:04, A*33:03, and A*66:15 alleles had the least frequencies (1%). Conclusion: This is the first report of HLA-A allele level typing in a randomized population of Iran and can be useful for development of national registries of HLA-typed volunteer marrow donors and local cord blood banks.
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Affiliation(s)
- Azadeh Hadadianpour
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran.,Kawsar Human Genetics Research Center, Tehran, Iran
| | - Mohammad Hasan Samiee Aref
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran.,Kawsar Human Genetics Research Center, Tehran, Iran
| | - Sirous Zeinali
- Kawsar Human Genetics Research Center, Tehran, Iran.,Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran
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15
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Shahsavar F, Varzi AM, Ahmadi SAY. A genomic study on distribution of human leukocyte antigen ( HLA) -A and HLA-B alleles in Lak population of Iran. GENOMICS DATA 2016; 11:3-6. [PMID: 27900264 PMCID: PMC5122700 DOI: 10.1016/j.gdata.2016.11.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Revised: 11/03/2016] [Accepted: 11/09/2016] [Indexed: 12/19/2022]
Abstract
Anthropological studies based on the highly polymorphic gene, human leukocyte antigen (HLA), provide useful information for bone marrow donor registry, forensic medicine, disease association studies, as well as infertility treatment, designing peptide vaccines against tumors, and infectious or autoimmune diseases. The aim of this study was to determine HLA-A and HLA-B allele frequencies in 100 unrelated Lak/lᴂk/individuals from Lorestan province of Iran. Finally, we compared the results with that previously described in Iranian population. Commercial HLA-Type kits from BAG (Lich, Germany) company were used for determination of the HLA-A and HLA-B allele frequencies in genomic DNA, based on polymerase chain reaction with sequence specific primer (PCR-SSP) assay. The differences between the populations in distribution of HLA-A and HLA-B alleles were estimated by chi-squared test with Yate's correction. The most frequent HLA-A alleles were *24 (20%), *02 (18%), *03 (12%) and *11 (10%), and the most frequent HLA-B alleles were *35 (24%), *51 (16%), *18 (6%) and *38 (6%) in Lak population. HLA-A*66 (1%), *74(1%) and HLA-B*48 (1%), *55(1%) were the least observed frequencies in Lak population. Our results based on HLA-A and HLA-B allele frequencies showed that Lak population possesses the previously reported general features of Iranians but still with unique.
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Affiliation(s)
- Farhad Shahsavar
- Department of immunology, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Ali-Mohammad Varzi
- Department of immunology, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Seyyed Amir Yasin Ahmadi
- Research Office for the History of Persian Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran; Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran
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16
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He Y, Zhang W, Chen N, Wang W, He J, Han Z, Tao S, Dong L, He J, Zhu F, Lv H. HLA-A, -B and -DRB1 allele and haplotype frequencies of 8333 Chinese Han from the Zhejiang province, China. Int J Immunogenet 2016; 43:86-95. [PMID: 26919533 DOI: 10.1111/iji.12254] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 01/05/2016] [Accepted: 01/31/2016] [Indexed: 11/30/2022]
Abstract
The distribution of human leucocyte antigen (HLA) allele and haplotype is varied among different ethnic populations. In this study, HLA-A, -B and -DRB1 allele and haplotype frequencies were determined in 8333 volunteer bone marrow donors of Zhejiang Han population using the polymerase chain reaction sequence-based typing. A total of 52 HLA-A, 96 HLA-B and 61 HLA-DRB1 alleles were found. Of these, the top three frequent alleles in HLA-A, HLA-B and HLA-DRB1 loci, respectively, were A*11:01 (24.53%), A*24:02 (17.35%), A*02:01 (11.58%); B*40:01 (15.67%), B*46:01 (11.87%), B*58:01 (9.05%); DRB1*09:01 (17.54%),DRB1*12:02 (9.64%) and DRB1*08:03 (8.65%). A total of 171 A-B-DRB1 haplotypes with a frequency of >0.1% were presented and the five most common haplotypes were A*33:03-B*58:01- DRB1*03:01, A*02:07-B*46:01-DRB1*09:01, A*30:01-B*13:02-DRB1*07:01, A*33:03-B*58:01-RB1*13:02 and A*11:01-B*15:02-DRB1*12:02. The information will be useful for selecting unrelated bone marrow donors and for anthropology studies and pharmacogenomics analysis.
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Affiliation(s)
- Y He
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang, China
| | - W Zhang
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang, China
| | - N Chen
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China
| | - W Wang
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China
| | - J He
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang, China
| | - Z Han
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China
| | - S Tao
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang, China
| | - L Dong
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China
| | - J He
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang, China
| | - F Zhu
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang, China
| | - H Lv
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Ministry of Health, Hangzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang, China
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17
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Duan Z, Guo J, Huang X, Liu H, Chen X, Jiang M, Wen J. Identification of cytotoxic T lymphocyte epitopes in dengue virus serotype 1. J Med Virol 2015; 87:1077-89. [PMID: 25777343 DOI: 10.1002/jmv.24167] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/20/2015] [Indexed: 11/12/2022]
Abstract
Dengue virus (DENV) has a serious and growing impact on global health and the exact role of DENV-specific CD8(+) T-cells in DENV infection is still uncertain. In the present study, SYFPEITHI algorithm was used to screen the amino acid sequence of Dengue virus serotype 1 (DENV-1) for potential epitopes, and seven putative HLA-A*1101-restricted and five putative HLA-A*2402-restricted epitopes conserved in hundreds of DENV-1 strains were synthesized. The binding affinity of these epitope candidates to corresponding HLA molecules was evaluated using competitive peptide-binding assay. The immunogenicity and specificity of peptides were further tested in HLA-A*1101 transgenic mice, HLA-A*2402 transgenic mice and peripheral blood mononuclear cells (PBMCs) of patients infected with DENV-1. Percentage inhibition (PI) values calculated in competitive peptide-binding assay showed that six peptides (E39-47 PTLDIELLK, NS5(505-513) GVEGEGLHK, NS2b(15-23) SILLSSLLK, NS5(561-569) ALLATSIFK, NS3(99-107) AVEPGKNPK, and NS4b(159-167) VVYDAKFEK) could bind to HLA-A*1101 molecule with high affinity and five peptides (NS3472-480 QYIYMGQPL, NS4a40-48 AYRHAMEEL, NS5(880-888) DYMTSMKRF, NS3(548-556) SYKVASEGF, and NS3(22-30) IYRILQRGL) have a high affinity for HLA-A*2402 molecule. Enzyme-linked immunospot (ELISPOT) results indicated that these high-affinity peptides were recognized by splenocytes of DENV-1-infected transgenic mice and high-affinity peptide-immunized transgenic mice displayed high levels of peptide-specific IFN-γ-secreting cells. In addition, both peptide-pulsed splenocytes and DENV-1-infected splenic monocytes were efficiently killed by these peptide-specific cytotoxic T lymphocytes. Finally, except NS2b(15-23), 10 high-affinity peptides were recognized by PBMCs of patients infected with DENV-1. These identified epitopes would contribute to the understanding of the function of DENV-specific CD8(+) T-cells.
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Affiliation(s)
- Zhiliang Duan
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China; Department of Clinical Laboratory, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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Kuranov AB, Vavilov MN, Abildinova GZ, Akilzhanova AR, Iskakova AN, Zholdybayeva EV, Boldyreva MN, Müller CA, Momynaliev KT. Polymorphisms of HLA-DRB1, -DQA1 and -DQB1 in inhabitants of Astana, the capital city of Kazakhstan. PLoS One 2014; 9:e115265. [PMID: 25531278 PMCID: PMC4274022 DOI: 10.1371/journal.pone.0115265] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 11/20/2014] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Kazakhstan has been inhabited by different populations, such as the Kazakh, Kyrgyz, Uzbek and others. Here we investigate allelic and haplotypic polymorphisms of human leukocyte antigen (HLA) genes at DRB1, DQA1 and DQB1 loci in the Kazakh ethnic group, and their genetic relationship between world populations. METHODOLOGY/PRINCIPAL FINDINGS A total of 157 unrelated Kazakh ethnic individuals from Astana were genotyped using sequence based typing (SBT-Method) for HLA-DRB1, -DQA1 and -DQB1 loci. Allele frequencies, neighbor-joining method, and multidimensional scaling analysis have been obtained for comparison with other world populations. Statistical analyses were performed using Arlequin v3.11. Applying the software PAST v. 2.17 the resulting genetic distance matrix was used for a multidimensional scaling analysis (MDS). Respectively 37, 17 and 19 alleles were observed at HLA-DRB1, -DQA1 and -DQB1 loci. The most frequent alleles were HLA-DRB1*07:01 (13.1%), HLA-DQA1*03:01 (13.1%) and HLA-DQB1*03:01 (17.6%). In the observed group of Kazakhs DRB1*07:01-DQA1*02:01-DQB1*02:01 (8.0%) was the most common three loci haplotype. DRB1*10:01-DQB1*05:01 showed the strongest linkage disequilibrium. The Kazakh population shows genetic kinship with the Kazakhs from China, Uyghurs, Mongolians, Todzhinians, Tuvinians and as well as with other Siberians and Asians. CONCLUSIONS/SIGNIFICANCE The HLA-DRB1, -DQA1 and -DQB1 loci are highly polymorphic in the Kazakh population, and this population has the closest relationship with other Asian and Siberian populations.
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