1
|
Silva NSB, Bourguiba-Hachemi S, Ciriaco VAO, Knorst SHY, Carmo RT, Masotti C, Meyer D, Naslavsky MS, Duarte YAO, Zatz M, Gourraud PA, Limou S, Castelli EC, Vince N. A multi-ethnic reference panel to impute HLA classical and non-classical class I alleles in admixed samples: Testing imputation accuracy in an admixed sample from Brazil. HLA 2024; 103:e15543. [PMID: 38837862 DOI: 10.1111/tan.15543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/03/2024] [Accepted: 05/13/2024] [Indexed: 06/07/2024]
Abstract
The MHC class I region contains crucial genes for the innate and adaptive immune response, playing a key role in susceptibility to many autoimmune and infectious diseases. Genome-wide association studies have identified numerous disease-associated SNPs within this region. However, these associations do not fully capture the immune-biological relevance of specific HLA alleles. HLA imputation techniques may leverage available SNP arrays by predicting allele genotypes based on the linkage disequilibrium between SNPs and specific HLA alleles. Successful imputation requires diverse and large reference panels, especially for admixed populations. This study employed a bioinformatics approach to call SNPs and HLA alleles in multi-ethnic samples from the 1000 genomes (1KG) dataset and admixed individuals from Brazil (SABE), utilising 30X whole-genome sequencing data. Using HIBAG, we created three reference panels: 1KG (n = 2504), SABE (n = 1171), and the full model (n = 3675) encompassing all samples. In extensive cross-validation of these reference panels, the multi-ethnic 1KG reference exhibited overall superior performance than the reference with only Brazilian samples. However, the best results were achieved with the full model. Additionally, we expanded the scope of imputation by developing reference panels for non-classical, MICA, MICB and HLA-H genes, previously unavailable for multi-ethnic populations. Validation in an independent Brazilian dataset showcased the superiority of our reference panels over the Michigan Imputation Server, particularly in predicting HLA-B alleles among Brazilians. Our investigations underscored the need to enhance or adapt reference panels to encompass the target population's genetic diversity, emphasising the significance of multiethnic references for accurate imputation across different populations.
Collapse
Affiliation(s)
- Nayane S B Silva
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
- Molecular Genetics and Bioinformatics Laboratory, School of Medicine, São Paulo State University, Botucatu, State of São Paulo, Brazil
- Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University, Botucatu, State of São Paulo, Brazil
| | - Sonia Bourguiba-Hachemi
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| | - Viviane A O Ciriaco
- Molecular Genetics and Bioinformatics Laboratory, School of Medicine, São Paulo State University, Botucatu, State of São Paulo, Brazil
| | - Stefan H Y Knorst
- Department of Molecular Oncology, Hospital Sírio-Libanes, São Paulo, Brazil
| | - Ramon T Carmo
- Department of Molecular Oncology, Hospital Sírio-Libanes, São Paulo, Brazil
| | - Cibele Masotti
- Department of Molecular Oncology, Hospital Sírio-Libanes, São Paulo, Brazil
| | - Diogo Meyer
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Michel S Naslavsky
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Yeda A O Duarte
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
- Medical-Surgical Nursing Department, School of Nursing, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Mayana Zatz
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Pierre-Antoine Gourraud
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| | - Sophie Limou
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| | - Erick C Castelli
- Molecular Genetics and Bioinformatics Laboratory, School of Medicine, São Paulo State University, Botucatu, State of São Paulo, Brazil
- Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University, Botucatu, State of São Paulo, Brazil
| | - Nicolas Vince
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| |
Collapse
|
2
|
Robinson J, Barker DJ, Marsh SGE. 25 years of the IPD-IMGT/HLA Database. HLA 2024; 103:e15549. [PMID: 38936817 DOI: 10.1111/tan.15549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/03/2024] [Accepted: 05/16/2024] [Indexed: 06/29/2024]
Abstract
Twenty-five years ago, in 1998, the HLA Informatics Group of the Anthony Nolan Research Institute released the IMGT/HLA Database. Since this time, this online resource has acted as the repository for the numerous variant sequences of HLA alleles named by the WHO Nomenclature Committee for Factors of the HLA System. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this work. During this time, the technology underlying HLA typing has undergone significant changes. Next generation sequencing (NGS) has superseded previous methodologies of HLA typing and can generate large amounts of high-resolution sequencing data. This has resulted in a drastic increase in the number and complexity of sequences submitted to the database. The challenge for the IPD-IMGT/HLA Database has been to maintain the highest standards of curation, while supporting the core set of tools and functionality to our users with increased numbers of submissions and sequences. Traditional methods of accessing and presenting data have been challenged and new methods utilising new computing technologies have had to be developed to keep pace and support a shifting user demographic.
Collapse
Affiliation(s)
- James Robinson
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
| | - Dominic J Barker
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
| | - Steven G E Marsh
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
| |
Collapse
|
3
|
de Oliveira CKF, Nascimento E, da Silva Assis A, Fabreti-Oliveira RA. Interlocus gene conversion: Identification of HLA-A*23:128 in a Brazilian bone marrow donor. HLA 2024; 103:e15386. [PMID: 38342852 DOI: 10.1111/tan.15386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 02/13/2024]
Abstract
Identification of novel HLA-A*23:128 allele generated by interlocus gene conversion in Brazilian bone marrow donor.
Collapse
Affiliation(s)
| | - Evaldo Nascimento
- IMUNOLAB, Laboratory of Histocompatibility, Belo Horizonte, Brazil
- Post-Graduate Program in Health Sciences, Faculty of Medical Sciences of Minas Gerais, Belo Horizonte, Brazil
| | | | - Raquel Aparecida Fabreti-Oliveira
- IMUNOLAB, Laboratory of Histocompatibility, Belo Horizonte, Brazil
- Institute of Education and Research, Faculty of Health of the Santa Casa Hospital, Belo Horizonte, Brazil
| |
Collapse
|
4
|
Mack SJ, Sauter J, Robinson J, Osoegawa K, McKenzie L, Schneider J, Maiers M, Milius RP. The genotype list string code syntax for exchanging nomenclature-level genotyping results in clinical and research data management and analysis systems. HLA 2023; 102:501-507. [PMID: 37403548 PMCID: PMC10530409 DOI: 10.1111/tan.15145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/06/2023]
Abstract
The nomenclatures used to describe HLA and killer-cell immunoglobulin-like receptor (KIR) alleles distinguish unique nucleotide and peptide sequences, and patterns of expression, but are insufficient for describing genotyping results, as description of ambiguities and relations across loci require terminology beyond allele names. The genotype list (GL) String grammar describes genotyping results for genetic systems with defined nomenclatures, like HLA and KIR, documenting what is known and unknown about a given genotyping result. However, the accuracy of a GL String is dependent on the reference database version under which it was generated. Here, we describe the GL string code (GLSC) system, which associates each GL String with meta-data describing the specific reference context in which the GL String was created, and in which it should be interpreted. GLSC is a defined syntax for exchanging GL Strings in the context of a specific gene-family namespace, allele-name code-system, and pertinent reference database version. GLSC allows HLA and KIR genotyping data to be transmitted, parsed and interpreted in the appropriate context, in an unambiguous manner, on modern data-systems, including Health Level 7 Fast Healthcare Interoperability Resource systems. Technical specification for GLSC can be found at https://glstring.org.
Collapse
Affiliation(s)
- Steven J Mack
- Department of Pediatrics, University of California, San Francisco, Oakland, California, USA
| | | | - James Robinson
- Anthony Nolan Research Institute, London, UK
- UCL Cancer Institute, London, UK
| | - Kazutoyo Osoegawa
- Histocompatibility & Immunogenetics Laboratory, Stanford Blood Center, Stanford Health Care, Palo Alto, California, USA
| | | | - Joel Schneider
- National Marrow Donor Program, Minneapolis, Minnesota, USA
| | - Martin Maiers
- National Marrow Donor Program, Minneapolis, Minnesota, USA
| | | |
Collapse
|
5
|
Pagkrati I, Duke JL, Mbunwe E, Mosbruger TL, Ferriola D, Wasserman J, Dinou A, Tairis N, Damianos G, Kotsopoulou I, Papaioannou J, Giannopoulos D, Beggs W, Nyambo T, Mpoloka SW, Mokone GG, Njamnshi AK, Fokunang C, Woldemeskel D, Belay G, Maiers M, Tishkoff SA, Monos DS. Genomic characterization of HLA class I and class II genes in ethnically diverse sub-Saharan African populations: A report on novel HLA alleles. HLA 2023; 102:192-205. [PMID: 36999238 PMCID: PMC10524506 DOI: 10.1111/tan.15035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 03/11/2023] [Accepted: 03/11/2023] [Indexed: 04/01/2023]
Abstract
HLA allelic variation has been well studied and documented in many parts of the world. However, African populations have been relatively under-represented in studies of HLA variation. We have characterized HLA variation from 489 individuals belonging to 13 ethnically diverse populations from rural communities from the African countries of Botswana, Cameroon, Ethiopia, and Tanzania, known to practice traditional subsistence lifestyles using next generation sequencing (Illumina) and long-reads from Oxford Nanopore Technologies. We identified 342 distinct alleles among the 11 HLA targeted genes: HLA-A, -B, -C, -DRB1, -DRB3, -DRB4, -DRB5, -DQA1, -DQB1, -DPA1, and -DPB1, with 140 of those alleles containing novel sequences that were submitted to the IPD-IMGT/HLA database. Sixteen of the 140 alleles contained novel content within the exonic regions of the genes, while 110 alleles contained novel intronic variants. Four alleles were found to be recombinants of already described HLA alleles and 10 alleles extended the sequence content of already described alleles. All 140 alleles include complete allelic sequence from the 5' UTR to the 3' UTR that are inclusive of all exons and introns. This report characterizes the HLA allelic variation from these individuals and describes the novel allelic variation present within these specific African populations.
Collapse
Affiliation(s)
- Ioanna Pagkrati
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Jamie L. Duke
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Eric Mbunwe
- Department of Genetics and Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Timothy L. Mosbruger
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Deborah Ferriola
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Jenna Wasserman
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Amalia Dinou
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Nikolaos Tairis
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Georgios Damianos
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Ioanna Kotsopoulou
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Joanna Papaioannou
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - Diamantoula Giannopoulos
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
| | - William Beggs
- Department of Genetics and Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thomas Nyambo
- Department of Biochemistry, Kampala International University in Tanzania (KIUT), Dar es Salaam, Tanzania
| | - Sununguko W. Mpoloka
- Department of Biological Sciences, Faculty of Science, University of Botswana, Gaborone, Botswana
| | - Gaonyadiwe G. Mokone
- Department of Biomedical Sciences, Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - Alfred K. Njamnshi
- Department of Neuroscience, Brain Research Africa Initiative (BRAIN), Yaoundé, Cameroon
- Department of Neurology & Neuroscience, Central Hospital Yaoundé, Yaoundé, Cameroon
- Neuroscience Lab, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Charles Fokunang
- Department of Pharmacotoxicology and Pharmacokinetics, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Dawit Woldemeskel
- Department of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Gurja Belay
- Department of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Martin Maiers
- National Marrow Donor Program/Be The Match, Minneapolis, Minnesota, USA
- Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota, USA
| | - Sarah A. Tishkoff
- Department of Genetics and Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dimitri S. Monos
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia,Pennsylvania, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
6
|
Liu P, Li G, Zhao N, Song X, Wang J, Shi X, Wang B, Zhang L, Dong L, Li Q, Liu Q, Lu L. Neutral Forces and Balancing Selection Interplay to Shape the Major Histocompatibility Complex Spatial Patterns in the Striped Hamster in Inner Mongolia: Suggestive of Broad-Scale Local Adaptation. Genes (Basel) 2023; 14:1500. [PMID: 37510404 PMCID: PMC10379431 DOI: 10.3390/genes14071500] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND The major histocompatibility complex (MHC) plays a key role in the adaptive immune response to pathogens due to its extraordinary polymorphism. However, the spatial patterns of MHC variation in the striped hamster remain unclear, particularly regarding the relative contribution of the balancing selection in shaping MHC spatial variation and diversity compared to neutral forces. METHODS In this study, we investigated the immunogenic variation of the striped hamster in four wild populations in Inner Mongolia which experience a heterogeneous parasitic burden. Our goal was to identify local adaptation by comparing the genetic structure at the MHC with that at seven microsatellite loci, taking into account neutral processes. RESULTS We observed significant variation in parasite pressure among sites, with parasite burden showing a correlation with temperature and precipitation. Molecular analysis revealed a similar co-structure between MHC and microsatellite loci. We observed lower genetic differentiation at MHC loci compared to microsatellite loci, and no correlation was found between the two. CONCLUSIONS Overall, these results suggest a complex interplay between neutral evolutionary forces and balancing selection in shaping the spatial patterns of MHC variation. Local adaptation was not detected on a small scale but may be applicable on a larger scale.
Collapse
Affiliation(s)
- Pengbo Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Guichang Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Ning Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Xiuping Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jun Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Xinfei Shi
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Bin Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Public Health School, Jiamusi University, Jiamusi 154007, China
| | - Lu Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Li Dong
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Qingduo Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Liang Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
7
|
Silwamba I, Vasoya D, Simuunza M, Tzelos T, Nalubamba KS, Simulundu E, Vrettou C, Mainda G, Watson M, Muma JB, Connelley T. High throughput analysis of MHC class I and class II diversity of Zambian indigenous cattle populations. HLA 2023; 101:458-483. [PMID: 36680506 PMCID: PMC10952738 DOI: 10.1111/tan.14976] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/14/2022] [Accepted: 01/12/2023] [Indexed: 01/22/2023]
Abstract
The classical MHC class I and class II molecules play key roles in determining the antigenic-specificity of CD8+ and CD4+ T-cell responses-as such characterisation of the repertoire of MHCI and MHCII allelic diversity is fundamental to our ability to understand, and potentially, exploit how genetic diversity influences the outcome of immune responses. Cattle remain one of the most economically livestock species, with particular importance to many small-holder farmers in low-and-middle income countries (LMICs). However, our knowledge of MHC (BoLA) diversity in the indigenous breeds that form the mainstay of cattle populations in many LMICs remains very limited. In this study we develop a MiSeq-based platform to enable the rapid analysis of BoLA-DQA and BoLA-DQB, and combine this with similar platforms to analyse BoLA-I and BoLA-DRB repertoires, to study a large cohort of cattle (~800 animals) representing the 3 major indigenous breeds (Angoni, Barotse, Tonga) in Zambia. The data presented confirms the capacity of this high-throughput and high-resolution approach to provide a full characterisation of the MHCI-MHCII genotypes of cattle for which little previous MHC sequence data has been obtained. The cattle in Zambia were found to express a diverse range of MHCI, MHCII and extended MHCI-MHCII haplotypes. The combined MHCI-MHCII genotyping now possible opens new opportunities to rapidly expand our knowledge of MHC diversity in cattle that could find applications in a related translational disciplines such as vaccine development.
Collapse
Affiliation(s)
- Isaac Silwamba
- Department of Laboratory and DiagnosticsLivestock Services Cooperative SocietyLusakaZambia
- Department of Disease Control, School of Veterinary MedicineUniversity of ZambiaLusakaZambia
| | - Deepali Vasoya
- Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin InstituteUniversity of Edinburgh, Easter Bush CampusRoslinUK
| | - Martin Simuunza
- Department of Disease Control, School of Veterinary MedicineUniversity of ZambiaLusakaZambia
| | - Thomas Tzelos
- Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin InstituteUniversity of Edinburgh, Easter Bush CampusRoslinUK
| | - King S. Nalubamba
- Department of Clinical Studies, School of Veterinary MedicineUniversity of ZambiaLusakaZambia
| | - Edgar Simulundu
- Department of Disease Control, School of Veterinary MedicineUniversity of ZambiaLusakaZambia
- Macha Research TrustChomaZambia
| | - Christina Vrettou
- Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin InstituteUniversity of Edinburgh, Easter Bush CampusRoslinUK
| | - Geoffrey Mainda
- Department of Veterinary Services, Ministry of Fisheries and LivestockCentral Veterinary Research InstituteLusakaZambia
| | - Mick Watson
- The Roslin InstituteUniversity of Edinburgh, Easter Bush CampusRoslinUK
| | - John Bwalya Muma
- Department of Disease Control, School of Veterinary MedicineUniversity of ZambiaLusakaZambia
| | - Timothy Connelley
- Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin InstituteUniversity of Edinburgh, Easter Bush CampusRoslinUK
- The Roslin InstituteUniversity of Edinburgh, Easter Bush CampusRoslinUK
| |
Collapse
|
8
|
Talarico L, Marta S, Rossi AR, Crescenzo S, Petrosino G, Martinoli M, Tancioni L. Balancing selection, genetic drift, and human-mediated introgression interplay to shape MHC (functional) diversity in Mediterranean brown trout. Ecol Evol 2021; 11:10026-10041. [PMID: 34367556 PMCID: PMC8328470 DOI: 10.1002/ece3.7760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/14/2021] [Accepted: 05/17/2021] [Indexed: 12/19/2022] Open
Abstract
The extraordinary polymorphism of major histocompatibility complex (MHC) genes is considered a paradigm of pathogen-mediated balancing selection, although empirical evidence is still scarce. Furthermore, the relative contribution of balancing selection to shape MHC population structure and diversity, compared to that of neutral forces, as well as its interaction with other evolutionary processes such as hybridization, remains largely unclear. To investigate these issues, we analyzed adaptive (MHC-DAB gene) and neutral (11 microsatellite loci) variation in 156 brown trout (Salmo trutta complex) from six wild populations in central Italy exposed to introgression from domestic hatchery lineages (assessed with the LDH gene). MHC diversity and structuring correlated with those at microsatellites, indicating the substantial role of neutral forces. However, individuals carrying locally rare MHC alleles/supertypes were in better body condition (a proxy of individual fitness/parasite load) regardless of the zygosity status and degree of sequence dissimilarity of MHC, hence supporting balancing selection under rare allele advantage, but not heterozygote advantage or divergent allele advantage. The association between specific MHC supertypes and body condition confirmed in part this finding. Across populations, MHC allelic richness increased with increasing admixture between native and domestic lineages, indicating introgression as a source of MHC variation. Furthermore, introgression across populations appeared more pronounced for MHC than microsatellites, possibly because initially rare MHC variants are expected to introgress more readily under rare allele advantage. Providing evidence for the complex interplay among neutral evolutionary forces, balancing selection, and human-mediated introgression in shaping the pattern of MHC (functional) variation, our findings contribute to a deeper understanding of the evolution of MHC genes in wild populations exposed to anthropogenic disturbance.
Collapse
Affiliation(s)
- Lorenzo Talarico
- Laboratory of Experimental Ecology and AquacultureDepartment of BiologyUniversity of Rome “Tor Vergata”RomeItaly
| | - Silvio Marta
- Department of Environmental Science and PolicyUniversity of MilanMilanItaly
| | - Anna Rita Rossi
- Department of Biology and Biotechnology C. DarwinUniversity of Rome “La Sapienza”RomeItaly
| | - Simone Crescenzo
- Department of Biology and Biotechnology C. DarwinUniversity of Rome “La Sapienza”RomeItaly
| | - Gerardo Petrosino
- Department of Biology and Biotechnology C. DarwinUniversity of Rome “La Sapienza”RomeItaly
| | - Marco Martinoli
- Laboratory of Experimental Ecology and AquacultureDepartment of BiologyUniversity of Rome “Tor Vergata”RomeItaly
- Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA)Centro di Zootecnia e AcquacolturaMonterotondoItaly
| | - Lorenzo Tancioni
- Laboratory of Experimental Ecology and AquacultureDepartment of BiologyUniversity of Rome “Tor Vergata”RomeItaly
| |
Collapse
|
9
|
Baxter-Lowe LA. The changing landscape of HLA typing: Understanding how and when HLA typing data can be used with confidence from bench to bedside. Hum Immunol 2021; 82:466-477. [PMID: 34030895 DOI: 10.1016/j.humimm.2021.04.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 04/26/2021] [Accepted: 04/29/2021] [Indexed: 12/11/2022]
Abstract
Human leukocyte antigen (HLA) genes are extraordinary for their extreme diversity and widespread impact on human health and disease. More than 30,000 HLA alleles have been officially named and more alleles continue to be discovered at a rapid pace. HLA typing systems which have been developed to detect HLA diversity have advanced rapidly and are revolutionizing our understanding of HLA's clinical importance. However, continuous improvements in knowledge and technology have created challenges for clinicians and scientists. This review explains how differences in HLA typing systems can impact the HLA types that are assigned. The consequences of differences in laboratory testing methods and reference databases are described. The challenges of using HLA types that are not equivalent are illustrated. A fundamental understanding of the continual expansion of our understanding of HLA diversity and limitations in some of the typing data is essential for using typing data appropriately in clinical and research settings.
Collapse
Affiliation(s)
- Lee Ann Baxter-Lowe
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, USA; Department of Pathology, University of Southern California, USA.
| |
Collapse
|
10
|
Baxter-Lowe LA. Growing evidence that 2-field high-resolution HLA typing is important for kidney transplantation. Am J Transplant 2020; 20:3277-3278. [PMID: 32484291 DOI: 10.1111/ajt.16092] [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: 04/24/2020] [Revised: 05/07/2020] [Accepted: 05/07/2020] [Indexed: 01/25/2023]
Affiliation(s)
- Lee Ann Baxter-Lowe
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| |
Collapse
|
11
|
Leen G, Stein JE, Robinson J, Maldonado Torres H, Marsh SGE. The HLA diversity of the Anthony Nolan register. HLA 2020; 97:15-29. [PMID: 33128327 PMCID: PMC7756289 DOI: 10.1111/tan.14127] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 09/15/2020] [Accepted: 10/23/2020] [Indexed: 12/22/2022]
Abstract
While the success of allogeneic stem cell transplantation depends on a high degree of HLA compatibility between donor and patient, finding a suitable donor remains challenging due to the hyperpolymorphic nature of HLA genes. We calculated high-resolution allele, haplotype and phenotype frequencies for HLA-A, -C, -B, -DRB1 and -DQB1 for 10 subpopulations of the Anthony Nolan (AN) register using an in-house expectation-maximisation (EM) algorithm run on mixed resolution HLA data, covering 676 155 individuals. Sample sizes range from 599 410 for British/Irish North West European (BINWE) individuals, the largest subpopulation in the United Kingdom to 1105 for the British Bangladeshi population. Calculation of genetic distance between the subpopulations based on haplotype frequencies shows three broad clusters, each following a major continental group: European, African and Asian. We further analysed the HLA haplotype and phenotype diversity of each subpopulation, and found that 35.52% of BINWE individuals ranging to 98.34% of Middle Eastern individuals on the register had a unique phenotype within their subpopulation. These analyses and the allele, haplotype and phenotype frequency data of the subpopulation on the AN register are a valuable resource in understanding the HLA diversity in the United Kingdom and can be used to improve the accuracy of match likelihoods and to inform future donor recruitment strategies.
Collapse
Affiliation(s)
- Gayle Leen
- Anthony Nolan Research Institute, Royal Free Campus, London, UK.,UCL Cancer Institute, Royal Free Campus, London, UK
| | - Jeremy E Stein
- Anthony Nolan Research Institute, Royal Free Campus, London, UK
| | - James Robinson
- Anthony Nolan Research Institute, Royal Free Campus, London, UK.,UCL Cancer Institute, Royal Free Campus, London, UK
| | - Hazael Maldonado Torres
- Anthony Nolan Research Institute, Royal Free Campus, London, UK.,UCL Cancer Institute, Royal Free Campus, London, UK
| | - Steven G E Marsh
- Anthony Nolan Research Institute, Royal Free Campus, London, UK.,UCL Cancer Institute, Royal Free Campus, London, UK
| |
Collapse
|
12
|
Stockton JD, Nieto T, Wroe E, Poles A, Inston N, Briggs D, Beggs AD. Rapid, highly accurate and cost-effective open-source simultaneous complete HLA typing and phasing of class I and II alleles using nanopore sequencing. HLA 2020; 96:163-178. [PMID: 32419382 DOI: 10.1111/tan.13926] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 04/30/2020] [Accepted: 05/05/2020] [Indexed: 02/02/2023]
Abstract
Accurate rapid genotyping of the genes within the HLA region presents many difficulties because of the complexity of this region. Here we present the results of our proof of concept nanopore-based long read polymerase chain reaction (PCR) solution for HLA genotyping. For 15 HLA anthropology-based samples and 13 NHS Blood and Transplant derived samples 40 ng of genomic DNA underwent long-range PCR for class I and II HLA alleles. Pooled PCR products were sequenced on the Oxford Nanopore MinIoON R9.4.1 flow cell. Sequenced reads had HLA genotype assigned with HLA-LA. Called genotypes were compared with reference derived from a combination of short-read next-generation sequencing, Sanger sequence and/or single-site polymorphism (SSP) typing. For concordance, accuracy was 100%, 98.4%, 97.5% and 95.1% for the first, second, third and fourth fields, respectively, to four field accuracy where it was available, otherwise three field in 28 samples for class I calls and 17 samples for class II calls. Phasing of maternal and paternal alleles, as well as phasing based identification of runs of homozygosity, was shown successfully. Time for assay run was 8 hours and the reconstruction of HLA typing data was 15 minutes. Assay cost was £55 ($80USD)/sample. We have developed a rapid and cost-effective long-range PCR and nanopore sequencing-based assay that can genotype the genes within HLA region to up to four field accuracy, identify runs of homozygosity in HLA, reconstruct maternal and paternal haplotypes and can be scaled from multi-sample runs to a single sample.
Collapse
Affiliation(s)
- Joanne D Stockton
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Thomas Nieto
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | | | | | | | | | - Andrew D Beggs
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| |
Collapse
|
13
|
Chitnis NS, Shieh M, Monos D. Regulatory noncoding RNAs and the major histocompatibility complex. Hum Immunol 2020; 82:532-540. [PMID: 32636038 DOI: 10.1016/j.humimm.2020.06.005] [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: 04/08/2020] [Revised: 05/21/2020] [Accepted: 06/09/2020] [Indexed: 12/15/2022]
Abstract
The Major Histocompatibility Complex (MHC) is a 4 Mbp genomic region located on the short arm of chromosome 6. The MHC region contains many key immune-related genes such as Human Leukocyte Antigens (HLAs). There has been a growing realization that, apart from MHC encoded proteins, RNAs derived from noncoding regions of the MHC-specifically microRNAs (miRNAs) and long noncoding RNAs (lncRNAs)-play a significant role in cellular regulation. Furthermore, regulatory noncoding RNAs (ncRNAs) derived from other parts of the genome fine-tune the expression of many immune-related MHC proteins. Although the field of ncRNAs of the MHC is a research area that is still in its infancy, ncRNA regulation of MHC genes has already been shown to be vital for immune function, healthy pregnancy and cellular homeostasis. Dysregulation of this intricate network of ncRNAs can lead to serious perturbations in homeostasis and subsequent disease.
Collapse
Affiliation(s)
- Nilesh Sunil Chitnis
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Mengkai Shieh
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Dimitri Monos
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| |
Collapse
|
14
|
Hurley CK, Kempenich J, Wadsworth K, Sauter J, Hofmann JA, Schefzyk D, Schmidt AH, Galarza P, Cardozo MBR, Dudkiewicz M, Houdova L, Jindra P, Sorensen BS, Jagannathan L, Mathur A, Linjama T, Torosian T, Freudenberger R, Manolis A, Mavrommatis J, Cereb N, Manor S, Shriki N, Sacchi N, Ameen R, Fisher R, Dunckley H, Andersen I, Alaskar A, Alzahrani M, Hajeer A, Jawdat D, Nicoloso G, Kupatawintu P, Cho L, Kaur A, Bengtsson M, Dehn J. Common, intermediate and well-documented HLA alleles in world populations: CIWD version 3.0.0. HLA 2020; 95:516-531. [PMID: 31970929 PMCID: PMC7317522 DOI: 10.1111/tan.13811] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 01/16/2020] [Accepted: 01/20/2020] [Indexed: 12/25/2022]
Abstract
A catalog of common, intermediate and well-documented (CIWD) HLA-A, -B, -C, -DRB1, -DRB3, -DRB4, -DRB5, -DQB1 and -DPB1 alleles has been compiled from over 8 million individuals using data from 20 unrelated hematopoietic stem cell volunteer donor registries. Individuals are divided into seven geographic/ancestral/ethnic groups and data are summarized for each group and for the total population. P (two-field) and G group assignments are divided into one of four frequency categories: common (≥1 in 10 000), intermediate (≥1 in 100 000), well-documented (≥5 occurrences) or not-CIWD. Overall 26% of alleles in IPD-IMGT/HLA version 3.31.0 at P group resolution fall into the three CIWD categories. The two-field catalog includes 18% (n = 545) common, 17% (n = 513) intermediate, and 65% (n = 1997) well-documented alleles. Full-field allele frequency data are provided but are limited in value by the variations in resolution used by the registries. A recommended CIWD list is based on the most frequent category in the total or any of the seven geographic/ancestral/ethnic groups. Data are also provided so users can compile a catalog specific to the population groups that they serve. Comparisons are made to three previous CWD reports representing more limited population groups. This catalog, CIWD version 3.0.0, is a step closer to the collection of global HLA frequencies and to a clearer view of HLA diversity in the human population as a whole.
Collapse
Affiliation(s)
- Carolyn K. Hurley
- Department of OncologyGeorgetown UniversityWashingtonDistrict of Columbia
| | | | | | | | | | | | | | | | | | - Malgorzata Dudkiewicz
- Central Unrelated Potential Bone Marrow Donor and Cord Blood Registry POLTRANSPLANTWarsawPoland
| | - Lucie Houdova
- University of West Bohemia, New Technologies for the Information SocietyPilsenCzech Republic
| | - Pavel Jindra
- Czech National Marrow Donors Registry and University Hospital PilsenPilsenCzech Republic
| | | | - Latha Jagannathan
- DKMS BMST Foundation IndiaBangaloreIndia
- Bangalore Medical Services TrustBangaloreIndia
| | | | | | | | | | | | | | - Nezih Cereb
- DATRI Blood Stem Cell Donor RegistryChennaiIndia
| | - Sigal Manor
- Israel‐Ezer Mizion Bone Marrow Donor RegistryBnei BrakIsrael
| | - Nira Shriki
- Israel‐Ezer Mizion Bone Marrow Donor RegistryBnei BrakIsrael
| | | | - Reem Ameen
- Kuwait National Stem Cell RegistryJabriyaKuwait
| | - Raewyn Fisher
- New Zealand Bone Marrow Donor RegistryAucklandNew Zealand
| | | | | | - Ahmed Alaskar
- Saudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, RiyadhMinistry of National Guard Health AffairsRiyadhSaudi Arabia
| | - Mohsen Alzahrani
- Saudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, RiyadhMinistry of National Guard Health AffairsRiyadhSaudi Arabia
| | - Ali Hajeer
- Saudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, RiyadhMinistry of National Guard Health AffairsRiyadhSaudi Arabia
| | - Dunia Jawdat
- Saudi Stem Cell Donor Registry, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, RiyadhMinistry of National Guard Health AffairsRiyadhSaudi Arabia
| | | | | | - Louise Cho
- The Bone Marrow Donor ProgrammeSingapore
| | | | - Mats Bengtsson
- Tobias Registry of Swedish Bone Marrow Donors and Department of Immunology, Genetics and PathologyUppsala UniversityUppsalaSweden
| | - Jason Dehn
- National Marrow Donor ProgramMinneapolisMinnesota
| |
Collapse
|
15
|
Robinson J, Barker DJ, Georgiou X, Cooper MA, Flicek P, Marsh SGE. IPD-IMGT/HLA Database. Nucleic Acids Res 2020; 48:D948-D955. [PMID: 31667505 PMCID: PMC7145640 DOI: 10.1093/nar/gkz950] [Citation(s) in RCA: 309] [Impact Index Per Article: 77.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 10/03/2019] [Accepted: 10/29/2019] [Indexed: 11/14/2022] Open
Abstract
The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels of polymorphism seen exceed most other genes. Some of the genes have several thousand variants and are now termed hyperpolymorphic, rather than just simply polymorphic. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this information, providing the scientific and medical community access to the many variant sequences of this gene system, that are critical for the successful outcome of transplantation. The number of currently known variants, and dramatic increase in the number of new variants being identified has necessitated a dedicated resource with custom tools for curation and publication. The challenge for the database is to continue to provide a highly curated database of sequence variants, while supporting the increased number of submissions and complexity of sequences. In order to do this, traditional methods of accessing and presenting data will be challenged, and new methods will need to be utilized to keep pace with new discoveries.
Collapse
Affiliation(s)
- James Robinson
- Anthony Nolan Research Institute, London, UK.,UCL Cancer Institute, University College London (UCL), London, UK
| | | | | | | | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Steven G E Marsh
- Anthony Nolan Research Institute, London, UK.,UCL Cancer Institute, University College London (UCL), London, UK
| |
Collapse
|
16
|
NGS and HLA: The long road ahead. Hum Immunol 2020; 81:280-284. [PMID: 32192758 DOI: 10.1016/j.humimm.2020.03.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 03/04/2020] [Accepted: 03/06/2020] [Indexed: 01/29/2023]
Abstract
This manuscript is a continuation of this laboratory's journey to identifying novel HLA alleles while performing routine clinical HLA laboratory testing. Since our last paper, we have identified an additional 28 novel HLA alleles that are identified and described herein. One novel allele was found in two unrelated patients that were HLA typed for different reasons at two different times, suggesting that novel alleles may be much more frequent than previously expected. If the rate of identification is hindered by bioinformatics challenges, there is a great potential for our patients to suffer needlessly from incomplete information in either diagnostics or unrecognized incompatibilities with potential donors.
Collapse
|
17
|
Qurkhuli T, Schwensow N, Brändel SD, Tschapka M, Sommer S. Can extreme MHC class I diversity be a feature of a wide geographic range? The example of Seba's short-tailed bat (Carollia perspicillata). Immunogenetics 2019; 71:575-587. [PMID: 31520134 PMCID: PMC7079943 DOI: 10.1007/s00251-019-01128-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 08/14/2019] [Indexed: 12/19/2022]
Abstract
The major histocompatibility complex (MHC) is one of the most diverse genetic regions under pathogen-driven selection because of its central role in antigen binding and immunity. The highest MHC variability, both in terms of the number of individual alleles and gene copies, has so far been found in passerine birds; this is probably attributable to passerine adaptation to both a wide geographic range and a diverse array of habitats. If extraordinary high MHC variation and duplication rates are adaptive features under selection during the evolution of ecologically and taxonomically diverse species, then similarly diverse MHC architectures should be found in bats. Bats are an extremely species-rich mammalian group that is globally widely distributed. Many bat species roost in multitudinous groups and have high contact rates with pathogens, conspecifics, and allospecifics. We have characterized the MHC class I diversity in 116 Panamanian Seba's short-tailed bats (Carollia perspicillata), a widely distributed, generalist, neotropical species. We have detected a remarkable individual and population-level diversity of MHC class I genes, with between seven and 22 alleles and a unique genotype in each individual. This diversity is comparable with that reported in passerine birds and, in both taxonomic groups, further variability has evolved through length polymorphisms. Our findings support the hypothesis that, for species with a geographically broader range, high MHC class I variability is particularly adaptive. Investigation of the details of the underlying adaptive processes and the role of the high MHC diversity in pathogen resistance are important next steps for a better understanding of the role of bats in viral evolution and as carriers of several deadly zoonotic viruses.
Collapse
Affiliation(s)
- Tamar Qurkhuli
- Institute for Evolutionary Ecology and Conservation Genomics, University of Ulm, Albert-Einstein Allee 11, 89081, Ulm, Germany
| | - Nina Schwensow
- Institute for Evolutionary Ecology and Conservation Genomics, University of Ulm, Albert-Einstein Allee 11, 89081, Ulm, Germany
| | - Stefan Dominik Brändel
- Institute for Evolutionary Ecology and Conservation Genomics, University of Ulm, Albert-Einstein Allee 11, 89081, Ulm, Germany
- Smithsonian Tropical Research Institute, Apartado, 0843-03092, Panamá, República de Panamá
| | - Marco Tschapka
- Institute for Evolutionary Ecology and Conservation Genomics, University of Ulm, Albert-Einstein Allee 11, 89081, Ulm, Germany
- Smithsonian Tropical Research Institute, Apartado, 0843-03092, Panamá, República de Panamá
| | - Simone Sommer
- Institute for Evolutionary Ecology and Conservation Genomics, University of Ulm, Albert-Einstein Allee 11, 89081, Ulm, Germany.
| |
Collapse
|
18
|
Resolving MiSeq-Generated Ambiguities in HLA-DPB1 Typing by Using the Oxford Nanopore Technology. J Mol Diagn 2019; 21:852-861. [PMID: 31173929 DOI: 10.1016/j.jmoldx.2019.04.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/19/2019] [Accepted: 04/30/2019] [Indexed: 12/30/2022] Open
Abstract
The technical limitations of current next-generation sequencing technologies, combined with an ever-increasing number of human leukocyte antigen (HLA) alleles, form the basis for the additional ambiguities encountered at an increasing rate in clinical practice. HLA-DPB1 characterization, particularly, generates a significant percentage of ambiguities (25.5%), posing a challenge for accurate and unambiguous HLA-DPB1 genotyping. Phasing of exonic heterozygous positions between exon 2 and all other downstream exons has been the major cause of ambiguities. In this study, the Oxford Nanopore MinION, a third-generation sequencing technology, was used to resolve the phasing. The accurate MiSeq sequencing data, combined with the long reads obtained from the MinION platform, allow for the resolution of the tested ambiguities.
Collapse
|
19
|
Evolution of major histocompatibility complex gene copy number. PLoS Comput Biol 2019; 15:e1007015. [PMID: 31095555 PMCID: PMC6541284 DOI: 10.1371/journal.pcbi.1007015] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 05/29/2019] [Accepted: 04/09/2019] [Indexed: 01/05/2023] Open
Abstract
MHC genes, which code for proteins responsible for presenting pathogen-derived antigens to the host immune system, show remarkable copy-number variation both between and within species. However, the evolutionary forces driving this variation are poorly understood. Here, we use computer simulations to investigate whether evolution of the number of MHC variants in the genome can be shaped by the number of pathogen species the host population encounters (pathogen richness). Our model assumed that while increasing a range of pathogens recognised, expressing additional MHC variants also incurs costs such as an increased risk of autoimmunity. We found that pathogen richness selected for high MHC copy number only when the costs were low. Furthermore, the shape of the association was modified by the rate of pathogen evolution, with faster pathogen mutation rates selecting for increased host MHC copy number, but only when pathogen richness was low to moderate. Thus, taking into account factors other than pathogen richness may help explain wide variation between vertebrate species in the number of MHC genes. Within population, variation in the number of unique MHC variants carried by individuals (INV) was observed under most parameter combinations, except at low pathogen richness. This variance gave rise to positive correlations between INV and host immunocompetence (proportion of pathogens recognised). However, within-population variation in host immunocompetence declined with pathogen richness. Thus, counterintuitively, pathogens can contribute more to genetic variance for host fitness in species exposed to fewer pathogen species, with consequences to predictions from “Hamilton-Zuk” theory of sexual selection. Highly polymorphic genes of the Major Histocompatibility Complex (MHC) code for proteins responsible for presenting antigens to lymphocytes, thus initiating adaptive immune response. The polymorphism is driven by coevolution with parasites which are selected to evade recognition by MHC proteins. Expressing many MHC molecules could ensure that an individual could present antigens of most pathogen species encountered, but this comes at a cost, such as enhanced negative selection on lymphocytes leading to holes in T-cell receptor repertoire. Our simulations showed that evolution of the number of MHC genes in the genome is driven by a complex interaction between three factors we explored: pathogen richness, the intrinsic cost of expressing additional MHC variants, and pathogen mutation rate. In contrast to verbal arguments, our results indicate that pathogen richness does not always selects for MHC gene family expansion. Taking into account factors other than pathogen richness, in particular costs of expressing additional MHC variants which are still poorly understood, may help explain striking interspecific variation in the number of MHC genes. Counterintuitively, our results also demonstrated that opportunity for selection on immunocompetence should decrease with MHC gene family expansion.
Collapse
|
20
|
|
21
|
Voorter CEM, Matern B, Tran TH, Fink A, Vidan-Jeras B, Montanic S, Fischer G, Fae I, de Santis D, Whidborne R, Andreani M, Testi M, Groeneweg M, Tilanus MGJ. Full-length extension of HLA allele sequences by HLA allele-specific hemizygous Sanger sequencing (SSBT). Hum Immunol 2018; 79:763-772. [PMID: 30107213 DOI: 10.1016/j.humimm.2018.08.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 08/09/2018] [Accepted: 08/09/2018] [Indexed: 12/27/2022]
Abstract
The gold standard for typing at the allele level of the highly polymorphic Human Leucocyte Antigen (HLA) gene system is sequence based typing. Since sequencing strategies have mainly focused on identification of the peptide binding groove, full-length sequence information is lacking for >90% of the HLA alleles. One of the goals of the 17th IHIWS workshop is to establish full-length sequences for as many HLA alleles as possible. In our component "Extension of HLA sequences by full-length HLA allele-specific hemizygous Sanger sequencing" we have used full-length hemizygous Sanger Sequence Based Typing to achieve this goal. We selected samples of which full length sequences were not available in the IPD-IMGT/HLA database. In total we have generated the full-length sequences of 48 HLA-A, 45 -B and 31 -C alleles. For HLA-A extended alleles, 39/48 showed no intron differences compared to the first allele of the corresponding allele group, for HLA-B this was 26/45 and for HLA-C 20/31. Comparing the intron sequences to other alleles of the same allele group revealed that in 5/48 HLA-A, 16/45 HLA-B and 8/31 HLA-C alleles the intron sequence was identical to another allele of the same allele group. In the remaining 10 cases, the sequence either showed polymorphism at a conserved nucleotide or was the result of a gene conversion event. Elucidation of the full-length sequence gives insight in the polymorphic content of the alleles and facilitates the identification of its evolutionary origin.
Collapse
Affiliation(s)
- Christina E M Voorter
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands.
| | - Ben Matern
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Thuong Hien Tran
- Transplantation Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Annette Fink
- Transplantation Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Blanka Vidan-Jeras
- Tissue Typing Center, Blood Transfusion Centre of Slovenia, Ljubljana, Slovenia
| | - Sendi Montanic
- Tissue Typing Center, Blood Transfusion Centre of Slovenia, Ljubljana, Slovenia
| | - Gottfried Fischer
- Department for Blood Group Serology and Blood Transfusion Medicine, Medical University Vienna, Vienna, Austria
| | - Ingrid Fae
- Department for Blood Group Serology and Blood Transfusion Medicine, Medical University Vienna, Vienna, Austria
| | - Dianne de Santis
- Department of Clinical Immunology, PathWest, Royal Perth Hospital, Perth, Australia
| | - Rebecca Whidborne
- Department of Clinical Immunology, PathWest, Royal Perth Hospital, Perth, Australia
| | - Marco Andreani
- Laboratory of Immunogenetics and Transplant Biology, IME Foundation, Policlinic of the University of Tor Vergata, Rome, Italy
| | - Manuela Testi
- Laboratory of Immunogenetics and Transplant Biology, IME Foundation, Policlinic of the University of Tor Vergata, Rome, Italy
| | - Mathijs Groeneweg
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Marcel G J Tilanus
- Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| |
Collapse
|
22
|
Linnenbrink M, Teschke M, Montero I, Vallier M, Tautz D. Meta-populational demes constitute a reservoir for large MHC allele diversity in wild house mice ( Mus musculus). Front Zool 2018; 15:15. [PMID: 29721030 PMCID: PMC5910556 DOI: 10.1186/s12983-018-0266-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 04/10/2018] [Indexed: 12/12/2022] Open
Abstract
Background The MHC class I and II loci mediate the adaptive immune response and belong to the most polymorphic loci in vertebrate genomes. In fact, the number of different alleles in a given species is often so large that it remains a challenge to provide an evolutionary model that can fully account for this. Results We provide here a general survey of MHC allele numbers in house mouse populations and two sub-species (M. m. domesticus and M. m. musculus) for H2 class I D and K, as well as class II A and E loci. Between 50 and 90% of the detected different sequences constitute new alleles, confirming that the discovery of new alleles is indeed far from complete. House mice live in separate demes with small effective population sizes, factors that were proposed to reduce, rather than enhance the possibility for the maintenance of many different alleles. To specifically investigate the occurrence of alleles within demes, we focused on the class II H2-Aa and H2-Eb exon 2 alleles in nine demes of M. m. domesticus from two different geographic regions. We find on the one hand a group of alleles that occur in different sampling regions and three quarters of these are also found in both sub-species. On the other hand, the larger group of different alleles (56%) occurs only in one of the regions and most of these (89%) only in single demes. We show that most of these region-specific alleles have apparently arisen through recombination and/or partial gene conversion from already existing alleles. Conclusions Demes can act as sources of alleles that outnumber the set of alleles that are shared across the species range. These findings support the reservoir model proposed for human MHC diversity, which states that large pools of rare MHC allele variants are continuously generated by neutral mutational mechanisms. Given that these can become important in the defense against newly emerging pathogens, the reservoir model complements the selection based models for MHC diversity and explains why the exceptional diversity exists. Electronic supplementary material The online version of this article (10.1186/s12983-018-0266-9) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Miriam Linnenbrink
- 3Max-Planck Institute for Evolutionary Biology, August-Thienemannstrasse 2, 24306 Plön, Germany
| | - Meike Teschke
- 1Present address: Deutsche Forschungsgemeinschaft, 53170 Bonn, Germany.,3Max-Planck Institute for Evolutionary Biology, August-Thienemannstrasse 2, 24306 Plön, Germany
| | - Inka Montero
- 2Present address: Medical Faculty, Eberhard Karls Universität Tübingen, Tübingen, Germany.,3Max-Planck Institute for Evolutionary Biology, August-Thienemannstrasse 2, 24306 Plön, Germany
| | - Marie Vallier
- 3Max-Planck Institute for Evolutionary Biology, August-Thienemannstrasse 2, 24306 Plön, Germany
| | - Diethard Tautz
- 3Max-Planck Institute for Evolutionary Biology, August-Thienemannstrasse 2, 24306 Plön, Germany
| |
Collapse
|
23
|
Fabreti-Oliveira R, Lasmar M, Oliveira C, Vale E, Nascimento E. Genetic Mechanisms Involved in the Generation of HLA Alleles in Brazilians: Description and Comparison of HLA Alleles. Transplant Proc 2018; 50:835-840. [DOI: 10.1016/j.transproceed.2018.02.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
|
24
|
Parham P, Guethlein LA. Genetics of Natural Killer Cells in Human Health, Disease, and Survival. Annu Rev Immunol 2018; 36:519-548. [PMID: 29394121 DOI: 10.1146/annurev-immunol-042617-053149] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Natural killer (NK) cells have vital functions in human immunity and reproduction. In the innate and adaptive immune responses to infection, particularly by viruses, NK cells respond by secreting inflammatory cytokines and killing infected cells. In reproduction, NK cells are critical for genesis of the placenta, the organ that controls the supply of oxygen and nutrients to the growing fetus. Controlling NK cell functions are interactions of HLA class I with inhibitory NK cell receptors. First evolved was the conserved interaction of HLA-E with CD94:NKG2A; later established were diverse interactions of HLA-A, -B, and -C with killer cell immunoglobulin-like receptors. Characterizing the latter interactions is rapid evolution, which distinguishes human populations and all species of higher primate. Driving this evolution are the different and competing selections imposed by pathogens on NK cell-mediated immunity and by the constraints of human reproduction on NK cell-mediated placentation. Promoting rapid evolution is independent segregation of polymorphic receptors and ligands throughout human populations.
Collapse
Affiliation(s)
- Peter Parham
- Department of Structural Biology and Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, California 94305, USA; ,
| | - Lisbeth A Guethlein
- Department of Structural Biology and Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, California 94305, USA; ,
| |
Collapse
|
25
|
Meyer D, C Aguiar VR, Bitarello BD, C Brandt DY, Nunes K. A genomic perspective on HLA evolution. Immunogenetics 2018; 70:5-27. [PMID: 28687858 PMCID: PMC5748415 DOI: 10.1007/s00251-017-1017-3] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 06/16/2017] [Indexed: 12/20/2022]
Abstract
Several decades of research have convincingly shown that classical human leukocyte antigen (HLA) loci bear signatures of natural selection. Despite this conclusion, many questions remain regarding the type of selective regime acting on these loci, the time frame at which selection acts, and the functional connections between genetic variability and natural selection. In this review, we argue that genomic datasets, in particular those generated by next-generation sequencing (NGS) at the population scale, are transforming our understanding of HLA evolution. We show that genomewide data can be used to perform robust and powerful tests for selection, capable of identifying both positive and balancing selection at HLA genes. Importantly, these tests have shown that natural selection can be identified at both recent and ancient timescales. We discuss how findings from genomewide association studies impact the evolutionary study of HLA genes, and how genomic data can be used to survey adaptive change involving interaction at multiple loci. We discuss the methodological developments which are necessary to correctly interpret genomic analyses involving the HLA region. These developments include adapting the NGS analysis framework so as to deal with the highly polymorphic HLA data, as well as developing tools and theory to search for signatures of selection, quantify differentiation, and measure admixture within the HLA region. Finally, we show that high throughput analysis of molecular phenotypes for HLA genes-namely transcription levels-is now a feasible approach and can add another dimension to the study of genetic variation.
Collapse
Affiliation(s)
- Diogo Meyer
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil.
| | - Vitor R C Aguiar
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
| | - Bárbara D Bitarello
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Débora Y C Brandt
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Kelly Nunes
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
| |
Collapse
|
26
|
Louzoun Y, Alter I, Gragert L, Albrecht M, Maiers M. Modeling coverage gaps in haplotype frequencies via Bayesian inference to improve stem cell donor selection. Immunogenetics 2017; 70:279-292. [DOI: 10.1007/s00251-017-1040-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 10/23/2017] [Indexed: 11/24/2022]
|
27
|
|
28
|
Biedrzycka A, O'Connor E, Sebastian A, Migalska M, Radwan J, Zając T, Bielański W, Solarz W, Ćmiel A, Westerdahl H. Extreme MHC class I diversity in the sedge warbler (Acrocephalus schoenobaenus); selection patterns and allelic divergence suggest that different genes have different functions. BMC Evol Biol 2017; 17:159. [PMID: 28679358 PMCID: PMC5497381 DOI: 10.1186/s12862-017-0997-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 06/14/2017] [Indexed: 11/23/2022] Open
Abstract
Background Recent work suggests that gene duplications may play an important role in the evolution of immunity genes. Passerine birds, and in particular Sylvioidea warblers, have highly duplicated major histocompatibility complex (MHC) genes, which are key in immunity, compared to other vertebrates. However, reasons for this high MHC gene copy number are yet unclear. High-throughput sequencing (HTS) allows MHC genotyping even in individuals with extremely duplicated genes. This HTS data can reveal evidence of selection, which may help to unravel the putative functions of different gene copies, i.e. neofunctionalization. We performed exhaustive genotyping of MHC class I in a Sylvioidea warbler, the sedge warbler, Acrocephalus schoenobaenus, using the Illumina MiSeq technique on individuals from a wild study population. Results The MHC diversity in 863 genotyped individuals by far exceeds that of any other bird species described to date. A single individual could carry up to 65 different alleles, a large proportion of which are expressed (transcribed). The MHC alleles were of three different lengths differing in evidence of selection, diversity and divergence within our study population. Alleles without any deletions and alleles containing a 6 bp deletion showed characteristics of classical MHC genes, with evidence of multiple sites subject to positive selection and high sequence divergence. In contrast, alleles containing a 3 bp deletion had no sites subject to positive selection and had low divergence. Conclusions Our results suggest that sedge warbler MHC alleles that either have no deletion, or contain a 6 bp deletion, encode classical antigen presenting MHC molecules. In contrast, MHC alleles containing a 3 bp deletion may encode molecules with a different function. This study demonstrates that highly duplicated MHC genes can be characterised with HTS and that selection patterns can be useful for revealing neofunctionalization. Importantly, our results highlight the need to consider the putative function of different MHC genes in future studies of MHC in relation to disease resistance and fitness. Electronic supplementary material The online version of this article (doi:10.1186/s12862-017-0997-9) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Aleksandra Biedrzycka
- Institute of Nature Conservation, Polish Academy of Sciences, Al. Mickiewicza 33, 31-120, Kraków, Poland.
| | - Emily O'Connor
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Ecology Building, Sölvegatan 37, 223 62, Lund, Sweden
| | - Alvaro Sebastian
- Evolutionary Biology Group, Faculty of Biology, Adam Mickiewicz University in Poznań, ul. Umultowska 89, 61-614, Poznań, Poland
| | - Magdalena Migalska
- Evolutionary Biology Group, Faculty of Biology, Adam Mickiewicz University in Poznań, ul. Umultowska 89, 61-614, Poznań, Poland
| | - Jacek Radwan
- Evolutionary Biology Group, Faculty of Biology, Adam Mickiewicz University in Poznań, ul. Umultowska 89, 61-614, Poznań, Poland
| | - Tadeusz Zając
- Institute of Nature Conservation, Polish Academy of Sciences, Al. Mickiewicza 33, 31-120, Kraków, Poland
| | - Wojciech Bielański
- Institute of Nature Conservation, Polish Academy of Sciences, Al. Mickiewicza 33, 31-120, Kraków, Poland
| | - Wojciech Solarz
- Institute of Nature Conservation, Polish Academy of Sciences, Al. Mickiewicza 33, 31-120, Kraków, Poland
| | - Adam Ćmiel
- Institute of Nature Conservation, Polish Academy of Sciences, Al. Mickiewicza 33, 31-120, Kraków, Poland
| | - Helena Westerdahl
- Molecular Ecology and Evolution Lab, Department of Biology, Lund University, Ecology Building, Sölvegatan 37, 223 62, Lund, Sweden
| |
Collapse
|
29
|
Robinson J, Guethlein LA, Cereb N, Yang SY, Norman PJ, Marsh SGE, Parham P. Distinguishing functional polymorphism from random variation in the sequences of >10,000 HLA-A, -B and -C alleles. PLoS Genet 2017. [PMID: 28650991 PMCID: PMC5507469 DOI: 10.1371/journal.pgen.1006862] [Citation(s) in RCA: 110] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
HLA class I glycoproteins contain the functional sites that bind peptide antigens and engage lymphocyte receptors. Recently, clinical application of sequence-based HLA typing has uncovered an unprecedented number of novel HLA class I alleles. Here we define the nature and extent of the variation in 3,489 HLA-A, 4,356 HLA-B and 3,111 HLA-C alleles. This analysis required development of suites of methods, having general applicability, for comparing and analyzing large numbers of homologous sequences. At least three amino-acid substitutions are present at every position in the polymorphic α1 and α2 domains of HLA-A, -B and -C. A minority of positions have an incidence >1% for the 'second' most frequent nucleotide, comprising 70 positions in HLA-A, 85 in HLA-B and 54 in HLA-C. The majority of these positions have three or four alternative nucleotides. These positions were subject to positive selection and correspond to binding sites for peptides and receptors. Most alleles of HLA class I (>80%) are very rare, often identified in one person or family, and they differ by point mutation from older, more common alleles. These alleles with single nucleotide polymorphisms reflect the germ-line mutation rate. Their frequency predicts the human population harbors 8-9 million HLA class I variants. The common alleles of human populations comprise 42 core alleles, which represent all selected polymorphism, and recombinants that have assorted this polymorphism.
Collapse
Affiliation(s)
- James Robinson
- Anthony Nolan Research Institute, London, United Kingdom
- UCL Cancer Institute, University College London, London, United Kingdom
| | - Lisbeth A. Guethlein
- Dept. of Structural Biology & Dept. of Microbiology & Immunology, School of Medicine, Stanford University, Stanford, California, United States of America
- * E-mail:
| | - Nezih Cereb
- Histogenetics, Ossining, New York, United States of America
| | - Soo Young Yang
- Histogenetics, Ossining, New York, United States of America
| | - Paul J. Norman
- Dept. of Structural Biology & Dept. of Microbiology & Immunology, School of Medicine, Stanford University, Stanford, California, United States of America
| | - Steven G. E. Marsh
- Anthony Nolan Research Institute, London, United Kingdom
- UCL Cancer Institute, University College London, London, United Kingdom
| | - Peter Parham
- Dept. of Structural Biology & Dept. of Microbiology & Immunology, School of Medicine, Stanford University, Stanford, California, United States of America
| |
Collapse
|
30
|
Significant variation between SNP-based HLA imputations in diverse populations: the last mile is the hardest. THE PHARMACOGENOMICS JOURNAL 2017; 18:367-376. [PMID: 28440342 DOI: 10.1038/tpj.2017.7] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 12/07/2016] [Accepted: 02/14/2017] [Indexed: 12/17/2022]
Abstract
Four single nucleotide polymorphism (SNP)-based human leukocyte antigen (HLA) imputation methods (e-HLA, HIBAG, HLA*IMP:02 and MAGPrediction) were trained using 1000 Genomes SNP and HLA genotypes and assessed for their ability to accurately impute molecular HLA-A, -B, -C and -DRB1 genotypes in the Human Genome Diversity Project cell panel. Imputation concordance was high (>89%) across all methods for both HLA-A and HLA-C, but HLA-B and HLA-DRB1 proved generally difficult to impute. Overall, <27.8% of subjects were correctly imputed for all HLA loci by any method. Concordance across all loci was not enhanced via the application of confidence thresholds; reliance on confidence scores across methods only led to noticeable improvement (+3.2%) for HLA-DRB1. As the HLA complex is highly relevant to the study of human health and disease, a standardized assessment of SNP-based HLA imputation methods is crucial for advancing genomic research. Considerable room remains for the improvement of HLA-B and especially HLA-DRB1 imputation methods, and no imputation method is as accurate as molecular genotyping. The application of large, ancestrally diverse HLA and SNP reference data sets and multiple imputation methods has the potential to make SNP-based HLA imputation methods a tractable option for determining HLA genotypes.
Collapse
|
31
|
Hilton HG, Blokhuis JH, Guethlein LA, Norman PJ, Parham P. Resurrecting KIR2DP1: A Key Intermediate in the Evolution of Human Inhibitory NK Cell Receptors That Recognize HLA-C. THE JOURNAL OF IMMUNOLOGY 2017; 198:1961-1973. [PMID: 28122963 DOI: 10.4049/jimmunol.1601835] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Accepted: 12/28/2016] [Indexed: 12/14/2022]
Abstract
KIR2DP1 is an inactive member of the human lineage III KIR family, which includes all HLA-C-specific receptor genes. The lethal, and only, defect in KIR2DP1 is a nucleotide deletion in codon 88. Fixed in modern humans, the deletion is also in archaic human genomes. KIR2DP1 is polymorphic, with dimorphism at specificity-determining position 44. By repairing the deletion, we resurrected 11 alleles of KIR2DP1F , the functional antecedent of KIR2DP1 We demonstrate how K44-KIR2DP1F with lysine 44 recognized C1+HLA-C, whereas T44-KIR2DP1F recognized C2+HLA-C. Dimorphisms at 12 other KIR2DP1F residues modulate receptor avidity or signaling. KIR2DP1 and KIR2DL1 are neighbors in the centromeric KIR region and are in tight linkage disequilibrium. Like KIR2DL1, KIR2DP1 contributed to CenA and CenB KIR haplotype differences. Encoded on CenA, C1-specific K44-KIR2DP1F were stronger receptors than the attenuated C2-specific T44-KIR2DP1F encoded on CenB The last common ancestor of humans and chimpanzees had diverse lineage III KIR that passed on to chimpanzees but not to humans. Early humans inherited activating KIR2DS4 and an inhibitory lineage III KIR, likely encoding a C1-specific receptor. The latter spawned the modern family of HLA-C receptors. KIR2DP1F has properties consistent with KIR2DP1F having been the founder gene. The first KIR2DP1F alleles encoded K44-C1 receptors; subsequently KIR2DP1F alleles encoding T44-C2 receptors evolved. The emergence of dedicated KIR2DL2/3 and KIR2DL1 genes encoding C1 and C2 receptors, respectively, could have led to obsolescence of KIR2DP1F Alternatively, pathogen subversion caused its demise. Preservation of KIR2DP1F functional polymorphism was a side effect of fixation of the deletion in KIR2DP1F by micro gene conversion.
Collapse
Affiliation(s)
- Hugo G Hilton
- Department of Structural Biology, School of Medicine, Stanford University, Stanford, CA 94305; and .,Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA 94305
| | - Jeroen H Blokhuis
- Department of Structural Biology, School of Medicine, Stanford University, Stanford, CA 94305; and.,Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA 94305
| | - Lisbeth A Guethlein
- Department of Structural Biology, School of Medicine, Stanford University, Stanford, CA 94305; and.,Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA 94305
| | - Paul J Norman
- Department of Structural Biology, School of Medicine, Stanford University, Stanford, CA 94305; and.,Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA 94305
| | - Peter Parham
- Department of Structural Biology, School of Medicine, Stanford University, Stanford, CA 94305; and .,Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA 94305
| |
Collapse
|
32
|
Voorter CEM, Gerritsen KEH, Groeneweg M, Wieten L, Tilanus MGJ. The role of gene polymorphism in HLA class I splicing. Int J Immunogenet 2016; 43:65-78. [PMID: 26920492 DOI: 10.1111/iji.12256] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Revised: 01/28/2016] [Accepted: 02/04/2016] [Indexed: 01/15/2023]
Abstract
Among the large number of human leucocyte antigen (HLA) alleles, only a few have been identified with a nucleotide polymorphism impairing correct splicing. Those alleles show aberrant expression levels, due to either a direct effect of the polymorphism on the normal splice site or to the creation of an alternative splice site. Furthermore, in several studies, the presence of alternatively spliced HLA transcripts co-expressed with the mature spliced transcripts was reported. We evaluated the splice site sequences of all known HLA class I alleles and found that, beside the consensus GT and AG sequences at the intron borders, there were some other highly conserved nucleotides for the different class I genes. In this review, we summarize the splicing mechanism and evaluate what is known today about alternative splicing of HLA class I genes.
Collapse
Affiliation(s)
- C E M Voorter
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - K E H Gerritsen
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - M Groeneweg
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - L Wieten
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - M G J Tilanus
- Department of Transplantation Immunology, Tissue Typing Laboratory, Maastricht University Medical Centre, Maastricht, the Netherlands
| |
Collapse
|
33
|
Mack SJ. A gene feature enumeration approach for describing HLA allele polymorphism. Hum Immunol 2015; 76:975-81. [PMID: 26416087 PMCID: PMC4674356 DOI: 10.1016/j.humimm.2015.09.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Revised: 09/24/2015] [Accepted: 09/24/2015] [Indexed: 11/25/2022]
Abstract
HLA genotyping via next generation sequencing (NGS) poses challenges for the use of HLA allele names to analyze and discuss sequence polymorphism. NGS will identify many new synonymous and non-coding HLA sequence variants. Allele names identify the types of nucleotide polymorphism that define an allele (non-synonymous, synonymous and non-coding changes), but do not describe how polymorphism is distributed among the individual features (the flanking untranslated regions, exons and introns) of a gene. Further, HLA alleles cannot be named in the absence of antigen-recognition domain (ARD) encoding exons. Here, a system for describing HLA polymorphism in terms of HLA gene features (GFs) is proposed. This system enumerates the unique nucleotide sequences for each GF in an HLA gene, and records these in a GF enumeration notation that allows both more granular dissection of allele-level HLA polymorphism and the discussion and analysis of GFs in the absence of ARD-encoding exon sequences.
Collapse
Affiliation(s)
- Steven J Mack
- Children's Hospital Oakland Research Institute, 5700 Martin Luther King Jr. Way, Oakland, CA 94609, USA.
| |
Collapse
|
34
|
Profaizer T, Coonrod E, Delgado J, Kumánovics A. Report on the effects of fragment size, indexing, and read length on HLA sequencing on the Illumina MiSeq. Hum Immunol 2015; 76:897-902. [DOI: 10.1016/j.humimm.2015.08.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 05/27/2015] [Accepted: 08/06/2015] [Indexed: 10/23/2022]
|
35
|
Di D, Sanchez-Mazas A, Currat M. Computer simulation of human leukocyte antigen genes supports two main routes of colonization by human populations in East Asia. BMC Evol Biol 2015; 15:240. [PMID: 26530905 PMCID: PMC4632674 DOI: 10.1186/s12862-015-0512-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 10/19/2015] [Indexed: 11/10/2022] Open
Abstract
Background Recent genetic studies have suggested that the colonization of East Asia by modern humans was more complex than a single origin from the South, and that a genetic contribution via a Northern route was probably quite substantial. Results Here we use a spatially-explicit computer simulation approach to investigate the human migration hypotheses of this region based on one-route or two-route models. We test the likelihood of each scenario by using Human Leukocyte Antigen (HLA) − A, −B, and − DRB1 genetic data of East Asian populations, with both selective and demographic parameters considered. The posterior distribution of each parameter is estimated by an Approximate Bayesian Computation (ABC) approach. Conclusions Our results strongly support a model with two main routes of colonization of East Asia on both sides of the Himalayas, with distinct demographic histories in Northern and Southern populations, characterized by more isolation in the South. In East Asia, gene flow between populations originating from the two routes probably existed until a remote prehistoric period, explaining the continuous pattern of genetic variation currently observed along the latitude. A significant although dissimilar level of balancing selection acting on the three HLA loci is detected, but its effect on the local genetic patterns appears to be minor compared to those of past demographic events. Electronic supplementary material The online version of this article (doi:10.1186/s12862-015-0512-0) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Da Di
- Department of Genetics and Evolution - Anthropology Unit, Laboratory of Anthropology, Genetics and Peopling history (AGP lab), University of Geneva, 12 rue Gustave-Revilliod, Geneva, CH-1211, Geneva 4, Switzerland.
| | - Alicia Sanchez-Mazas
- Department of Genetics and Evolution - Anthropology Unit, Laboratory of Anthropology, Genetics and Peopling history (AGP lab), University of Geneva, 12 rue Gustave-Revilliod, Geneva, CH-1211, Geneva 4, Switzerland. .,Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva Medical Centre (CMU), 1 rue Michel-Servet, Geneva, CH-1211, Geneva 4, Switzerland.
| | - Mathias Currat
- Department of Genetics and Evolution - Anthropology Unit, Laboratory of Anthropology, Genetics and Peopling history (AGP lab), University of Geneva, 12 rue Gustave-Revilliod, Geneva, CH-1211, Geneva 4, Switzerland.
| |
Collapse
|
36
|
Clark PM, Kunkel M, Monos DS. The dichotomy between disease phenotype databases and the implications for understanding complex diseases involving the major histocompatibility complex. Int J Immunogenet 2015; 42:413-22. [PMID: 26456690 DOI: 10.1111/iji.12236] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Revised: 07/14/2015] [Accepted: 08/16/2015] [Indexed: 01/08/2023]
Abstract
Many genes related to innate and adaptive immunity reside within the major histocompatibility complex (MHC) and have been associated with a multitude of complex, immune-related disorders. Despite years of genetic study, this region has seen few causative determinants discovered for immune-mediated diseases. Reported associations have been curated in various databases including the Genetic Association Database, NCBI database of clinically relevant variants (ClinVar) and the Human Gene Mutation Database and together capture genetic associations and annotated pathogenic loci within the MHC and across the genome for a variety of complex, immune-mediated diseases. A review of these three distinct databases reveals disparate annotations between associated genes and pathogenic loci, alluding to the polygenic, multifactorial nature of immune-mediated diseases and the pleiotropic character of genes within the MHC. The technical limitations and inherent biases imposed by current approaches and technologies in studying the MHC create a strong case for the need to perform targeted deep sequencing of the MHC and other immunologically relevant loci in order to fully elucidate and study the causative elements of complex immune-mediated diseases.
Collapse
Affiliation(s)
- P M Clark
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - M Kunkel
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - D S Monos
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
37
|
Mack SJ, Milius RP, Gifford BD, Sauter J, Hofmann J, Osoegawa K, Robinson J, Groeneweg M, Turenchalk GS, Adai A, Holcomb C, Rozemuller EH, Penning MT, Heuer ML, Wang C, Salit ML, Schmidt AH, Parham PR, Müller C, Hague T, Fischer G, Fernandez-Viňa M, Hollenbach JA, Norman PJ, Maiers M. Minimum information for reporting next generation sequence genotyping (MIRING): Guidelines for reporting HLA and KIR genotyping via next generation sequencing. Hum Immunol 2015; 76:954-62. [PMID: 26407912 DOI: 10.1016/j.humimm.2015.09.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 08/30/2015] [Accepted: 09/22/2015] [Indexed: 11/27/2022]
Abstract
The development of next-generation sequencing (NGS) technologies for HLA and KIR genotyping is rapidly advancing knowledge of genetic variation of these highly polymorphic loci. NGS genotyping is poised to replace older methods for clinical use, but standard methods for reporting and exchanging these new, high quality genotype data are needed. The Immunogenomic NGS Consortium, a broad collaboration of histocompatibility and immunogenetics clinicians, researchers, instrument manufacturers and software developers, has developed the Minimum Information for Reporting Immunogenomic NGS Genotyping (MIRING) reporting guidelines. MIRING is a checklist that specifies the content of NGS genotyping results as well as a set of messaging guidelines for reporting the results. A MIRING message includes five categories of structured information - message annotation, reference context, full genotype, consensus sequence and novel polymorphism - and references to three categories of accessory information - NGS platform documentation, read processing documentation and primary data. These eight categories of information ensure the long-term portability and broad application of this NGS data for all current histocompatibility and immunogenetics use cases. In addition, MIRING can be extended to allow the reporting of genotype data generated using pre-NGS technologies. Because genotyping results reported using MIRING are easily updated in accordance with reference and nomenclature databases, MIRING represents a bold departure from previous methods of reporting HLA and KIR genotyping results, which have provided static and less-portable data. More information about MIRING can be found online at miring.immunogenomics.org.
Collapse
Affiliation(s)
- Steven J Mack
- Children's Hospital Oakland Research Institute, Oakland, CA, USA.
| | | | | | - Jürgen Sauter
- DKMS German Bone Marrow Donor Center, Tübingen, Germany
| | - Jan Hofmann
- DKMS German Bone Marrow Donor Center, Tübingen, Germany
| | | | - James Robinson
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK; University College London Cancer Institute, University College London, London, UK
| | | | | | - Alex Adai
- Bioinformatics, Roche Sequencing, Pleasanton, CA, USA
| | | | | | | | | | - Chunlin Wang
- Stanford Genome Technology Center, Stanford University, Stanford, CA, USA
| | - Marc L Salit
- National Institute of Standards and Technology, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA
| | | | - Peter R Parham
- Department of Structural Biology, Stanford University, Stanford, CA, USA
| | | | | | | | | | - Jill A Hollenbach
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Paul J Norman
- Department of Structural Biology, Stanford University, Stanford, CA, USA
| | | |
Collapse
|
38
|
Duke JL, Lind C, Mackiewicz K, Ferriola D, Papazoglou A, Derbeneva O, Wallace D, Monos DS. Towards allele-level human leucocyte antigens genotyping - assessing two next-generation sequencing platforms: Ion Torrent Personal Genome Machine and Illumina MiSeq. Int J Immunogenet 2015; 42:346-58. [PMID: 26119888 DOI: 10.1111/iji.12213] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 04/29/2015] [Accepted: 05/25/2015] [Indexed: 11/28/2022]
Abstract
Human leucocyte antigens (HLA) typing has been a challenge due to extreme polymorphism of the HLA genes and limitations of the current technologies and protocols used for their characterization. Recently, next-generation sequencing techniques have been shown to be a well-suited technology for the complete characterization of the HLA genes. However, a comprehensive assessment of the different platforms for HLA typing, describing the limitations and advantages of each of them, has not been presented. We have compared the Ion Torrent Personal Genome Machine (PGM) and Illumina MiSeq, currently the two most frequently used platforms for diagnostic applications, for a number of metrics including total output, quality score per position across the reads and error rates after alignment which can all affect the accuracy of HLA genotyping. For this purpose, we have used one homozygous and three heterozygous well-characterized samples, at HLA-A, HLA-B, HLA-C, HLA-DRB1 and HLA-DQB1. The total output of bases produced by the MiSeq was higher, and they have higher quality scores and a lower overall error rate than the PGM. The MiSeq also has a higher fidelity when sequencing through homopolymer regions up to 9 bp in length. The need to set phase between distant polymorphic sites was more readily achieved with MiSeq using paired-end sequencing of fragments that are longer than those obtained with PGM. Additionally, we have assessed the workflows of the different platforms for complexity of sample preparation, sequencer operation and turnaround time. The effects of data quality and quantity can impact the genotyping results; having an adequate amount of good quality data to analyse will be imperative for confident HLA genotyping. The overall turnaround time can be very comparable between the two platforms; however, the complexity of sample preparation is higher with PGM, while the actual sequencing time is longer with MiSeq.
Collapse
Affiliation(s)
- J L Duke
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - C Lind
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - K Mackiewicz
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - D Ferriola
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - A Papazoglou
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - O Derbeneva
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - D Wallace
- Center for Mitochondrial and Epigenomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - D S Monos
- Immunogenetics Laboratory, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
39
|
Slater N, Louzoun Y, Gragert L, Maiers M, Chatterjee A, Albrecht M. Power laws for heavy-tailed distributions: modeling allele and haplotype diversity for the national marrow donor program. PLoS Comput Biol 2015; 11:e1004204. [PMID: 25901749 PMCID: PMC4406525 DOI: 10.1371/journal.pcbi.1004204] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 02/19/2015] [Indexed: 01/29/2023] Open
Abstract
Measures of allele and haplotype diversity, which are fundamental properties in population genetics, often follow heavy tailed distributions. These measures are of particular interest in the field of hematopoietic stem cell transplant (HSCT). Donor/Recipient suitability for HSCT is determined by Human Leukocyte Antigen (HLA) similarity. Match predictions rely upon a precise description of HLA diversity, yet classical estimates are inaccurate given the heavy-tailed nature of the distribution. This directly affects HSCT matching and diversity measures in broader fields such as species richness. We, therefore, have developed a power-law based estimator to measure allele and haplotype diversity that accommodates heavy tails using the concepts of regular variation and occupancy distributions. Application of our estimator to 6.59 million donors in the Be The Match Registry revealed that haplotypes follow a heavy tail distribution across all ethnicities: for example, 44.65% of the European American haplotypes are represented by only 1 individual. Indeed, our discovery rate of all U.S. European American haplotypes is estimated at 23.45% based upon sampling 3.97% of the population, leaving a large number of unobserved haplotypes. Population coverage, however, is much higher at 99.4% given that 90% of European Americans carry one of the 4.5% most frequent haplotypes. Alleles were found to be less diverse suggesting the current registry represents most alleles in the population. Thus, for HSCT registries, haplotype discovery will remain high with continued recruitment to a very deep level of sampling, but population coverage will not. Finally, we compared the convergence of our power-law versus classical diversity estimators such as Capture recapture, Chao, ACE and Jackknife methods. When fit to the haplotype data, our estimator displayed favorable properties in terms of convergence (with respect to sampling depth) and accuracy (with respect to diversity estimates). This suggests that power-law based estimators offer a valid alternative to classical diversity estimators and may have broad applicability in the field of population genetics. The distribution of haplotypes and species tend to be heavy tailed. The heavy tail is expected from theoretical considerations and is observed in most populations. Accurate measures of diversity are difficult to achieve given that a limited number of common haplotypes represent the majority of the population, whereas the major contributor to haplotype diversity comes from unique haplotypes that are “rare” and present in only a fraction of the population. A major issue for unrelated HSCT donor registries is estimating population coverage with respect to servicing the public need. We here use a power-law methodology that accommodates heavy-tails to estimate both the population coverage by ethnicity in the US and the genetic diversity of alleles and haplotypes. For the European American population, which has the deepest sampling amongst ethnicities, we show that registry population coverage is better than 99%, but the diversity of this sample only represents 40% of the unique haplotypes expected to be found in the population. Population coverage for other ethnicities was poorer and ranged down to 92% as was the case for Native Americans that had the worst coverage. We further show that the formalism developed here produces better estimates of the population properties than existing methods.
Collapse
Affiliation(s)
- Noa Slater
- Gonda Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Yoram Louzoun
- Gonda Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
- Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel
| | - Loren Gragert
- National Marrow Donor Program, Minneapolis, Minnesota, United States of America
| | - Martin Maiers
- National Marrow Donor Program, Minneapolis, Minnesota, United States of America
| | - Ansu Chatterjee
- School of Statistics, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Mark Albrecht
- National Marrow Donor Program, Minneapolis, Minnesota, United States of America
- * E-mail:
| |
Collapse
|
40
|
Adamek M, Klages C, Bauer M, Kudlek E, Drechsler A, Leuser B, Scherer S, Opelz G, Tran TH. Seven novel HLA alleles reflect different mechanisms involved in the evolution of HLA diversity: description of the new alleles and review of the literature. Hum Immunol 2014; 76:30-5. [PMID: 25500251 DOI: 10.1016/j.humimm.2014.12.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Revised: 05/22/2014] [Accepted: 12/03/2014] [Indexed: 10/24/2022]
Abstract
The human leukocyte antigen (HLA) loci are among the most polymorphic genes in the human genome. The diversity of these genes is thought to be generated by different mechanisms including point mutation, gene conversion and crossing-over. During routine HLA typing, we discovered seven novel HLA alleles which were probably generated by different evolutionary mechanisms. HLA-B*41:21, HLA-DQB1*02:10 and HLA-DQA1*01:12 likely emerged from the common alleles of their groups by point mutations, all of which caused non-synonymous amino acid substitutions. In contrast, a deletion of one nucleotide leading to a frame shift with subsequent generation of a stop codon is responsible for the appearance of a null allele, HLA-A*01:123N. Whereas HLA-B*35:231 and HLA-B*53:31 were probably products of intralocus gene conversion between HLA-B alleles, HLA-C*07:294 presumably evolved by interlocus gene conversion between an HLA-C and an HLA-B allele. Our analysis of these novel alleles illustrates the different mechanisms which may have contributed to the evolution of HLA polymorphism.
Collapse
Affiliation(s)
- Martina Adamek
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Cornelia Klages
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Manuela Bauer
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Evelina Kudlek
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Alina Drechsler
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Birte Leuser
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Sabine Scherer
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Gerhard Opelz
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany
| | - Thuong Hien Tran
- Department of Transplantation Immunology, Institute of Immunology, University of Heidelberg, Heidelberg, Germany.
| |
Collapse
|
41
|
Sanchez-Mazas A, Meyer D. The relevance of HLA sequencing in population genetics studies. J Immunol Res 2014; 2014:971818. [PMID: 25126587 PMCID: PMC4122113 DOI: 10.1155/2014/971818] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Accepted: 06/20/2014] [Indexed: 11/18/2022] Open
Abstract
Next generation sequencing (NGS) is currently being adapted by different biotechnological platforms to the standard typing method for HLA polymorphism, the huge diversity of which makes this initiative particularly challenging. Boosting the molecular characterization of the HLA genes through efficient, rapid, and low-cost technologies is expected to amplify the success of tissue transplantation by enabling us to find donor-recipient matching for rare phenotypes. But the application of NGS technologies to the molecular mapping of the MHC region also anticipates essential changes in population genetic studies. Huge amounts of HLA sequence data will be available in the next years for different populations, with the potential to change our understanding of HLA variation in humans. In this review, we first explain how HLA sequencing allows a better assessment of the HLA diversity in human populations, taking also into account the methodological difficulties it introduces at the statistical level; secondly, we show how analyzing HLA sequence variation may improve our comprehension of population genetic relationships by facilitating the identification of demographic events that marked human evolution; finally, we discuss the interest of both HLA and genome-wide sequencing and genotyping in detecting functionally significant SNPs in the MHC region, the latter having also contributed to the makeup of the HLA molecular diversity observed today.
Collapse
Affiliation(s)
- Alicia Sanchez-Mazas
- Department of Genetics and Evolution—Anthropology Unit, University of Geneva and Institute of Genetics and Genomics of Geneva (IGE3), 12 Rue Gustave-Revilliod, 1211 Geneva 4, Switzerland
| | - Diogo Meyer
- Department of Genetics and Evolutionary Biology, University of São Paulo, Rua do Matão 277, São Paulo, SP 05508-090, Brazil
| |
Collapse
|
42
|
Proliferation and resistance difference of a liver-parasitized myxosporean in two different gynogenetic clones of gibel carp. Parasitol Res 2014; 113:1331-41. [DOI: 10.1007/s00436-014-3772-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Accepted: 01/10/2014] [Indexed: 10/25/2022]
|
43
|
Mack SJ, Cano P, Hollenbach JA, He J, Hurley CK, Middleton D, Moraes ME, Pereira SE, Kempenich JH, Reed EF, Setterholm M, Smith AG, Tilanus MG, Torres M, Varney MD, Voorter CEM, Fischer GF, Fleischhauer K, Goodridge D, Klitz W, Little AM, Maiers M, Marsh SGE, Müller CR, Noreen H, Rozemuller EH, Sanchez-Mazas A, Senitzer D, Trachtenberg E, Fernandez-Vina M. Common and well-documented HLA alleles: 2012 update to the CWD catalogue. ACTA ACUST UNITED AC 2013; 81:194-203. [PMID: 23510415 DOI: 10.1111/tan.12093] [Citation(s) in RCA: 173] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2013] [Revised: 02/14/2013] [Accepted: 02/15/2013] [Indexed: 11/26/2022]
Abstract
We have updated the catalogue of common and well-documented (CWD) human leukocyte antigen (HLA) alleles to reflect current understanding of the prevalence of specific allele sequences. The original CWD catalogue designated 721 alleles at the HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, and -DPB1 loci in IMGT (IMmunoGeneTics)/HLA Database release 2.15.0 as being CWD. The updated CWD catalogue designates 1122 alleles at the HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1 and -DPB1 loci as being CWD, and represents 14.3% of the HLA alleles in IMGT/HLA Database release 3.9.0. In particular, we identified 415 of these alleles as being 'common' (having known frequencies) and 707 as being 'well-documented' on the basis of ~140,000 sequence-based typing observations and available HLA haplotype data. Using these allele prevalence data, we have also assigned CWD status to specific G and P designations. We identified 147/151 G groups and 290/415 P groups as being CWD. The CWD catalogue will be updated on a regular basis moving forward, and will incorporate changes to the IMGT/HLA Database as well as empirical data from the histocompatibility and immunogenetics community. This version 2.0.0 of the CWD catalogue is available online at cwd.immunogenomics.org, and will be integrated into the Allele Frequencies Net Database, the IMGT/HLA Database and National Marrow Donor Program's bioinformatics web pages.
Collapse
Affiliation(s)
- S J Mack
- Center for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
44
|
Green D, Mason C. The maintenance of sex: Ronald Fisher meets the Red Queen. BMC Evol Biol 2013; 13:174. [PMID: 23962342 PMCID: PMC3765275 DOI: 10.1186/1471-2148-13-174] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2013] [Accepted: 08/14/2013] [Indexed: 12/29/2022] Open
Abstract
Background Sex in higher diploids carries a two-fold cost of males that should reduce its fitness relative to cloning, and result in its extinction. Instead, sex is widespread and clonal species face early obsolescence. One possible reason is that sex is an adaptation that allows organisms to respond more effectively to endless changes in their environment. The purpose of this study was to model mutation and selection in a diploid organism in an evolving environment and ascertain their support for sex. Results We used a computational approach to model finite populations where a haploid environment subjects a diploid host to endlessly evolving change. Evolution in both populations is primarily through adoption of novel advantageous mutations within a large allele space. Sex outcompetes cloning by two complementary mechanisms. First, sexual diploids adopt advantageous homozygous mutations more rapidly than clonal ones under conditions of lag load (the gap between the actual adaptation of the diploid population and its theoretical optimum). This rate advantage can offset the higher fecundity of cloning. Second, a relative advantage to sex emerges where populations are significantly polymorphic, because clonal polymorphism runs the risk of clonal interference caused by selection on numerous lines of similar adaptation. This interference extends allele lifetime and reduces the rate of adaptation. Sex abolishes the interference, making selection faster and elevating population fitness. Differences in adaptation between sexual and clonal populations increase markedly with the number of loci under selection, the rate of mutation in the host, and a rapidly evolving environment. Clonal interference in these circumstances leads to conditions where the greater fecundity of clones is unable to offset their poor adaptation. Sexual and clonal populations then either co-exist, or sex emerges as the more stable evolutionary strategy. Conclusions Sex can out-compete clones in a rapidly evolving environment, such as that characterized by pathogens, where clonal interference reduces the adaptation of clonal populations and clones adopt advantageous mutations more slowly. Since all organisms carry parasitic loads, the model is of potentially general applicability.
Collapse
Affiliation(s)
- David Green
- Department of Anatomy, University of Otago Medical School, Great King Street, Dunedin 9016, New Zealand.
| | | |
Collapse
|
45
|
Hedrick PW. Adaptive introgression in animals: examples and comparison to new mutation and standing variation as sources of adaptive variation. Mol Ecol 2013; 22:4606-18. [DOI: 10.1111/mec.12415] [Citation(s) in RCA: 459] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Revised: 05/31/2013] [Accepted: 06/08/2013] [Indexed: 01/07/2023]
Affiliation(s)
- Philip W. Hedrick
- School of Life Sciences; Arizona State University; Tempe AZ 85287-4501 USA
| |
Collapse
|
46
|
Milius RP, Mack SJ, Hollenbach JA, Pollack J, Heuer ML, Gragert L, Spellman S, Guethlein LA, Trachtenberg EA, Cooley S, Bochtler W, Mueller CR, Robinson J, Marsh SGE, Maiers M. Genotype List String: a grammar for describing HLA and KIR genotyping results in a text string. TISSUE ANTIGENS 2013; 82:106-12. [PMID: 23849068 PMCID: PMC3715123 DOI: 10.1111/tan.12150] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2013] [Accepted: 05/22/2013] [Indexed: 01/19/2023]
Abstract
Knowledge of an individual's human leukocyte antigen (HLA) genotype is essential for modern medical genetics, and is crucial for hematopoietic stem cell and solid-organ transplantation. However, the high levels of polymorphism known for the HLA genes make it difficult to generate an HLA genotype that unambiguously identifies the alleles that are present at a given HLA locus in an individual. For the last 20 years, the histocompatibility and immunogenetics community has recorded this HLA genotyping ambiguity using allele codes developed by the National Marrow Donor Program (NMDP). While these allele codes may have been effective for recording an HLA genotyping result when initially developed, their use today results in increased ambiguity in an HLA genotype, and they are no longer suitable in the era of rapid allele discovery and ultra-high allele polymorphism. Here, we present a text string format capable of fully representing HLA genotyping results. This Genotype List (GL) String format is an extension of a proposed standard for reporting killer-cell immunoglobulin-like receptor (KIR) genotype data that can be applied to any genetic data that use a standard nomenclature for identifying variants. The GL String format uses a hierarchical set of operators to describe the relationships between alleles, lists of possible alleles, phased alleles, genotypes, lists of possible genotypes, and multilocus unphased genotypes, without losing typing information or increasing typing ambiguity. When used in concert with appropriate tools to create, exchange, and parse these strings, we anticipate that GL Strings will replace NMDP allele codes for reporting HLA genotypes.
Collapse
Affiliation(s)
- R P Milius
- Department of Bioinformatics, National Marrow Donor Program, Minneapolis, MN 55413-1753, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
47
|
Gonzalez-Galarza FF, Mack SJ, Hollenbach J, Fernandez-Vina M, Setterholm M, Kempenich J, Marsh SGE, Jones AR, Middleton D. 16(th) IHIW: extending the number of resources and bioinformatics analysis for the investigation of HLA rare alleles. Int J Immunogenet 2012. [PMID: 23198982 DOI: 10.1111/iji.12030] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Continuing a project presented at the 15th International HLA and Immunogenetics Workshop (IHIWS) on the rarity of HLA alleles, we sought to expand the number of data sources and bioinformatics tools available in the Allele Frequencies Net Database website (AFND, www.allelefrequencies.net). In this 16th IHIWS Rare Alleles project, HLA alleles described in the latest IMGT/HLA Database (release 3.8.0) were queried against different sources including data from registries (stem cell) and from 74 different laboratories around the world. We demonstrated that approximately 40% of the alleles officially named in the IMGT/HLA Database have been reported only once across all different sources. To facilitate the large-scale analysis of rare alleles, we have produced an online tool called the Rare Allele Detector that simplifies the detection of alleles that are considered to be 'very rare', 'rare' or 'frequent'. Tools and associated data can be accessed via the www.allelefrequencies.net website.
Collapse
|
48
|
de Bakker PIW, Raychaudhuri S. Interrogating the major histocompatibility complex with high-throughput genomics. Hum Mol Genet 2012; 21:R29-36. [PMID: 22976473 DOI: 10.1093/hmg/dds384] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The major histocompatibility complex (MHC) region on the short arm of chromosome 6 harbors the largest number of replicated associations across the human genome for a wide range of diseases, but the functional basis for these associations is still poorly understood. One fundamental challenge in fine-mapping associations to functional alleles is the enormous sequence diversity and broad linkage disequilibrium of the MHC, both of which hamper the cost-effective interrogation in large patient samples and the identification of causal variants. In this review, we argue that there is now a valuable opportunity to leverage existing genome-wide association study (GWAS) datasets for in-depth investigation to identify independent effects in the MHC. Application of imputation to GWAS data facilitates comprehensive interrogation of the classical human leukocyte antigen (HLA) loci. These datasets are, in many cases, sufficiently large to give investigators the ability to disentangle effects at different loci. We also explain how querying variation at individual amino acid positions for association can be powerful and expand traditional analyses that focus only on the classical HLA types.
Collapse
Affiliation(s)
- Paul I W de Bakker
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
| | | |
Collapse
|
49
|
Hedrick PW. What is the evidence for heterozygote advantage selection? Trends Ecol Evol 2012; 27:698-704. [PMID: 22975220 DOI: 10.1016/j.tree.2012.08.012] [Citation(s) in RCA: 126] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2012] [Revised: 08/09/2012] [Accepted: 08/10/2012] [Indexed: 10/27/2022]
Abstract
Recent genomic data have found that many genes show the signal of selection. How many of these genes are undergoing heterozygote advantage selection is only beginning to be known. Initial genomic surveys have suggested that only a small proportion of loci have polymorphisms maintained by heterozygote advantage and this is consistent with the few examples generated from other approaches within given species. Unless further studies provide large numbers of loci with heterozygote advantage, it appears that loci with heterozygote advantage must be considered only a small minority of all loci in a species. This is not to say that some heterozygote advantage loci do not have important adaptive functions, but that their role in overall evolutionary change might be more of an unusual phenomenon than a major player in adaptation.
Collapse
|