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Wong K, Lai WK, Jackson DE. HLA Class II regulation of immune response in sickle cell disease patients: Susceptibility to red blood cell alloimmunization (systematic review and meta-analysis). Vox Sang 2022; 117:1251-1261. [PMID: 36102140 PMCID: PMC9826043 DOI: 10.1111/vox.13351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 06/25/2022] [Accepted: 07/15/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND OBJECTIVES Sickle cell disease (SCD) patients are commonly treated with red blood cell (RBC) transfusion. Pretransfusion tests commonly involve limited serological antibody testing. RBC alloimmunization to RBC antigens is a frequently encountered complication seen in chronically transfused patients. Genetic factors such as the human leukocyte antigen (HLA) are known to influence and regulate immune responses. HLAs are highly polymorphic and play an essential role in regulating immune responses, including RBC alloimmunization. The aim of this study was to conduct a systematic review and meta-analysis to evaluate the association between HLA Class II allelic polymorphisms with the possible risk of developing RBC alloantibodies. MATERIALS AND METHODS Four databases were systematically searched for relevant studies between the years 2000 and 2021 following the PRISMA guidelines. Four articles met the eligibility and quality criterion, and three alleles, HLA-DRB1*04, HLA-DRB1*15 and HLA-DQB1*03, that were found to be potentially associated with an increased risk in alloantibody formation were included. RESULTS The primary outcome measure was alloimmunization by RBC antigen exposure in multiply transfused SCD patients. The total estimate of alloimmunization of the SCD patients was 2.33 (95% CI, 1.58-3.44), demonstrating susceptibility to RBC alloantibody formation. Heterogeneity between the studies was insignificant, suggesting the differences associated with random sampling errors. The results showed that SCD patients carry an increased risk of producing RBC alloantibodies. CONCLUSION A strategy to prevent RBC alloimmunization is genotyping for genetically susceptible SCD patients receiving multiple transfusions. Early identification of genetic variants that can potentially increase the risk of RBC alloimmunization could aid in the screening process and selection of phenotypically matched RBC units.
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Affiliation(s)
- Karmen Wong
- Thrombosis and Vascular Diseases Laboratory, School of Health and Biomedical SciencesRMIT UniversityBundooraVictoriaAustralia
| | - Wing Kit Lai
- Thrombosis and Vascular Diseases Laboratory, School of Health and Biomedical SciencesRMIT UniversityBundooraVictoriaAustralia
| | - Denise E. Jackson
- Thrombosis and Vascular Diseases Laboratory, School of Health and Biomedical SciencesRMIT UniversityBundooraVictoriaAustralia
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2
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Cojocaru E, Napolitano A, Fisher C, Huang P, Jones RL, Thway K. What's the latest with investigational drugs for soft tissue sarcoma? Expert Opin Investig Drugs 2022; 31:1239-1253. [PMID: 36424693 DOI: 10.1080/13543784.2022.2152324] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Despite extensive research undertaken in the past 20-30 years, the treatment for soft tissue sarcoma (STS) has remained largely the same, with anthracycline-based chemotherapy remaining the first choice for treating advanced or metastatic STS. AREAS COVERED This review focuses on newly approved drugs for STS and current research directions, including recent results of late-phase trials in patients with STS. We cover several different histological subtypes, and we discuss the role of adoptive cell transfer (ACT) therapies for the treatment of synovial and myxoid/round cell (high-grade myxoid) liposarcoma, one of the most promising areas of treatment development to date. We searched clinicaltrials.gov and pubmed.ncbi.nih.gov, as well as recent year proceedings from the annual conferences of the American Society of Clinical Oncology (ASCO), European Society for Medical Oncology (ESMO), and Connective Tissue Oncology Society (CTOS). EXPERT OPINION Immune-oncology drugs (IOs) show promise in certain subtypes of STS, but it is recognized that PD-1/PD-L1 axis inhibition is not enough on its own. Better trial stratifications based on the molecular categorization of different subtypes of STS are needed, and more evidence suggests that 'one size fits all' treatment is no longer sustainable in this heterogeneous and aggressive group of tumors.
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Affiliation(s)
- Elena Cojocaru
- Cancer Genetic Unit, The Royal Marsden NHS Foundation Trust, 203 Fulham Road, SW3 6JJ, London, UK.,Sarcoma Unit, The Royal Marsden NHS Foundation Trust, 203 Fulham Road, SW3 6JJ, London, UK
| | - Andrea Napolitano
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, 203 Fulham Road, SW3 6JJ, London, UK
| | - Cyril Fisher
- Department of Pathology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Paul Huang
- Protein Networks Team, Division of Molecular Pathology, The Institute of Cancer Research, SW7 3RP, London, UK
| | - Robin L Jones
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, 203 Fulham Road, SW3 6JJ, London, UK.,Protein Networks Team, Division of Molecular Pathology, The Institute of Cancer Research, SW7 3RP, London, UK
| | - Khin Thway
- Sarcoma Unit, The Royal Marsden NHS Foundation Trust, 203 Fulham Road, SW3 6JJ, London, UK.,Protein Networks Team, Division of Molecular Pathology, The Institute of Cancer Research, SW7 3RP, London, UK
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3
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Souza AS, Sonon P, Paz MA, Tokplonou L, Lima THA, Porto IOP, Andrade HS, Silva NDSB, Veiga-Castelli LC, Oliveira MLG, Sadissou IA, Massaro JD, Moutairou KA, Donadi EA, Massougbodji A, Garcia A, Ibikounlé M, Meyer D, Sabbagh A, Mendes-Junior CT, Courtin D, Castelli EC. Hla-C genetic diversity and evolutionary insights in two samples from Brazil and Benin. HLA 2020; 96:468-486. [PMID: 32662221 DOI: 10.1111/tan.13996] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/18/2020] [Accepted: 07/09/2020] [Indexed: 12/14/2022]
Abstract
Human leukocyte antigen-C (HLA-C) is a classical HLA class I molecule that binds and presents peptides to cytotoxic T lymphocytes in the cell surface. HLA-C has a dual function because it also interacts with Killer-cell immunoglobulin-like receptors (KIR) receptors expressed in natural killer and T cells, modulating their activity. The structure and diversity of the HLA-C regulatory regions, as well as the relationship among variants along the HLA-C locus, are poorly addressed, and few population-based studies explored the HLA-C variability in the entire gene in different population samples. Here we present a molecular and bioinformatics method to evaluate the entire HLA-C diversity, including regulatory sequences. Then, we applied this method to survey the HLA-C diversity in two population samples with different demographic histories, one highly admixed from Brazil with major European contribution, and one from Benin with major African contribution. The HLA-C promoter and 3'UTR were very polymorphic with the presence of few, but highly divergent haplotypes. These segments also present conserved sequences that are shared among different primate species. Nucleotide diversity was higher in other segments rather than exons 2 and 3, particularly around exon 5 and the second half of the 3'UTR region. We detected evidence of balancing selection on the entire HLA-C locus and positive selection in the HLA-C leader peptide, for both populations. HLA-C motifs previously associated with KIR interaction and expression regulation are similar between both populations. Each allele group is associated with specific regulatory sequences, reflecting the high linkage disequilibrium along the entire HLA-C locus in both populations.
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Affiliation(s)
- Andreia S Souza
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Paulin Sonon
- Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Michelle A Paz
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Léonidas Tokplonou
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France.,Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin.,Département de Zoologie, Faculté des Sciences et Techniques, Université d'Abomey-Calavi, Cotonou, Benin
| | - Thálitta H A Lima
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Iane O P Porto
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Heloisa S Andrade
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Nayane Dos S B Silva
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Luciana C Veiga-Castelli
- Department of Genetics, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Maria Luiza G Oliveira
- Department of Genetics, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Ibrahim Abiodoun Sadissou
- Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Juliana Doblas Massaro
- Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Kabirou A Moutairou
- Laboratoire de Biologie et Physiologie Cellulaire, Université d'Abomey-Calavi, Cotonou, Benin
| | - Eduardo A Donadi
- Department of Medicine, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Achille Massougbodji
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - André Garcia
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France
| | - Moudachirou Ibikounlé
- Département de Zoologie, Faculté des Sciences et Techniques, Université d'Abomey-Calavi, Cotonou, Benin
| | - Diogo Meyer
- Department of Genetics and Evolutionary Biology, University of São Paulo (USP), São Paulo, Brazil
| | - Audrey Sabbagh
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France
| | - Celso T Mendes-Junior
- Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - David Courtin
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France
| | - Erick C Castelli
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
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4
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Castro MDS, Issler HC, Gelmini GF, de Miranda BLM, Calonga-Solís V, Schmidt AH, Stein A, Bicalho MDG, Petzl-Erler ML, Augusto DG. High-resolution characterization of 12 classical and non-classical HLA loci in Southern Brazilians. HLA 2020; 93:80-88. [PMID: 30740929 DOI: 10.1111/tan.13488] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Revised: 02/05/2019] [Accepted: 02/08/2019] [Indexed: 11/28/2022]
Abstract
The human leukocyte antigen (HLA) are the most polymorphic genes in the human genome. Because of their importance for antigen recognition, HLA molecules play a central role in host defense and graft rejection upon transplantation. The aim of this study was to characterize allelic diversity of the classical HLA genes HLA-A, -B, -C, -DRA, -DRB1, -DQA1, -DQB1, -DPA1, -DPB1, and the non-classical class I genes HLA-E, -F and -G at high-resolution for a population of predominantly European ancestry from Curitiba, Brazil. Genotyping of 108 individuals was performed by next-generation sequencing on the MiSeq platform and also by Sanger sequencing. The genotype distributions of all loci were in accordance with Hardy-Weinberg equilibrium (P > 0.05) and a total of 202 HLA variants at second field resolution were observed for the 12 loci. The strongest linkage disequilibrium (r2 = 1.0, P < 10-5 ) was observed for the following pairs of alleles: HLA-B*42:01:01 ~ HLA-DRB1*03:02:01; HLA-B*14:02:01 ~ HLA-C*08:02:01; B*42:01:01 ~ HLA-C*17:01:01; HLA-DRB1*03:01:01 ~ HLA-DQB1*02:01:01 ~ DRB1*03:01:01 ~ HLA-DQB1*02:01:01; DRB1*13:01:01~ HLA-DQB1*06:03:01 and HLA-DRB1*09:01:02 ~ HLA-DQA1*03:02. This is the first study to characterize all 12 HLA genes at high resolution in a single population. On the basis of the allelic frequencies of worldwide populations and principal component analysis, we confirmed the similarity of the study population to European and other Euro-descendant populations.
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Affiliation(s)
- Mariana de Sousa Castro
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Hellen C Issler
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Geórgia F Gelmini
- Laboratório de Imunogenética e Histocompatibilidade, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Bruna L M de Miranda
- Laboratório de Imunogenética e Histocompatibilidade, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Verónica Calonga-Solís
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | | | | | - Maria da Graça Bicalho
- Laboratório de Imunogenética e Histocompatibilidade, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Maria Luiza Petzl-Erler
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Danillo G Augusto
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
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5
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Ebrahimi M, Dayer D, Jalalifar MA, Keikhaei B, Tahan Nejad Asadi Z. Association between
HLA‐DRB1*01
and
HLA‐DRB1*15
with alloimmunisation in transfusion‐dependent patients with thalassaemia. Transfus Med 2020; 30:275-280. [DOI: 10.1111/tme.12677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 02/02/2020] [Accepted: 02/29/2020] [Indexed: 02/01/2023]
Affiliation(s)
- Mina Ebrahimi
- Thalassemia and Hemoglobinopathy Research Center, Research Institute of HealthAhvaz Jundishapur University of Medical Sciences Ahvaz Iran
- Department of laboratory sciencesSchool of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran
- Student Research CommitteeAhvaz Jundishapur University of Medical Sciences Ahvaz Iran
| | - Dian Dayer
- Cellular and Molecular Research CenterAhvaz Jundishapur University of Medical Sciences Ahvaz Iran
| | - Mohammad Ali Jalalifar
- Thalassemia and Hemoglobinopathy Research Center, Research Institute of HealthAhvaz Jundishapur University of Medical Sciences Ahvaz Iran
- Department of laboratory sciencesSchool of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran
| | - Bijan Keikhaei
- Thalassemia and Hemoglobinopathy Research Center, Research Institute of HealthAhvaz Jundishapur University of Medical Sciences Ahvaz Iran
| | - Zari Tahan Nejad Asadi
- Thalassemia and Hemoglobinopathy Research Center, Research Institute of HealthAhvaz Jundishapur University of Medical Sciences Ahvaz Iran
- Department of laboratory sciencesSchool of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran
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6
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Boquett JA, Bisso-Machado R, Zagonel-Oliveira M, Schüler-Faccini L, Fagundes NJR. HLA diversity in Brazil. HLA 2019; 95:3-14. [PMID: 31596032 DOI: 10.1111/tan.13723] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 09/11/2019] [Accepted: 10/04/2019] [Indexed: 01/18/2023]
Abstract
Brazil is the fifth largest country in the world in area and the fifth most populous. The Brazilian voluntary Bone Marrow Donor Registry is the third largest in terms of number of donors in the world, being a valuable source of HLA genetics to characterize the donor population of Brazil as well. The genetic background of the Brazilian population is quite heterogeneous, resulting from 5 centuries of admixture among Native Americans, Europeans and Africans, making the Brazilian population unique in terms of genetic ancestry. The unique characteristics of populations in different Brazilian regions make them an exciting focus for genetic diversity studies. Studies on HLA genetic diversity of Brazilian populations have been conducted since the late 1980s and, in this review, we highlight the main findings from studies carried out in Brazil based on classical HLA. In addition, we calculated the genetic distance from the molecular data of the studies included in this review in order to have a broader view of the HLA diversity in Brazilian populations. We emphasize that characterization of HLA diversity is not only important for transplantation programs, but can shed a light on ancestry, history and other demographic patterns with or without association with autoimmune disease.
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Affiliation(s)
- Juliano A Boquett
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Post-graduate Program in Child and Adolescent Health, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Rafael Bisso-Machado
- Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Marcelo Zagonel-Oliveira
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Applied Computing Graduate Program, Advanced Visualization & Geoinformatics Laboratory (VIZLab), Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil
| | - Lavínia Schüler-Faccini
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Post-graduate Program in Child and Adolescent Health, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Nelson J R Fagundes
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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7
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Dutra VDF, Bub CB, Costa TH, Santos LD, Bastos EP, Aravechia MG, Kutner JM. Allele and haplotype frequencies of human platelet and leukocyte antigens in platelet donors. EINSTEIN-SAO PAULO 2019; 17:eAO4477. [PMID: 30758400 PMCID: PMC6438674 DOI: 10.31744/einstein_journal/2019ao4477] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 09/13/2018] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To described the allele and haplotype frequencies of human leukocyte antigen genes at the -A, -B loci and human platelet antigen genes for human platelet antigen systems 1 to 9, 11 and 15 in blood. METHODS We included 867 healthy unrelated volunteer donors who donated platelets between January 2011 and December 2014. Microarray genotyping was performed using a BeadChip microarray. Medium resolution typing of the human leukocyte antigen at loci A and B was carried out using sequence-specific oligonucleotide probe hybridization. We used multivariate analysis and our human leukocyte antigen population was compared to data from the United States national bone marrow donor program. Human platelet antigen results were compared to a literature review and data from around the world. RESULTS Our human leukocyte antigen haplotype results were more similar to those of hispanics, followed by caucasians. Likewise, our human platelet antigen sample is more similar to those of Argentina, Rio Grande do Sul and Italy. CONCLUSION This was the first article that discusses human platelet antigen and human leukocyte antigen data together. Rare genotypes or antibody associations can make patient management difficult. A blood bank with genotyped donors allows for optimal transfusion and can contribute to better results. Our information can serve as basis for a database of platelet antigen polymorphisms.
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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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