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Matern BM, Spierings E, Bandstra S, Madbouly A, Schaub S, Weimer ET, Niemann M. Quantifying uncertainty of molecular mismatch introduced by mislabeled ancestry using haplotype-based HLA genotype imputation. Front Genet 2024; 15:1444554. [PMID: 39385936 PMCID: PMC11461215 DOI: 10.3389/fgene.2024.1444554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 09/12/2024] [Indexed: 10/12/2024] Open
Abstract
Introduction Modern histocompatibility algorithms depend on the comparison and analysis of high-resolution HLA protein sequences and structures, especially when considering epitope-based algorithms, which aim to model the interactions involved in antibody or T cell binding. HLA genotype imputation can be performed in the cases where only low/intermediate-resolution HLA genotype is available or if specific loci are missing, and by providing an individuals' race/ethnicity/ancestry information, imputation results can be more accurate. This study assesses the effect of imputing high-resolution genotypes on molecular mismatch scores under a variety of ancestry assumptions. Methods We compared molecular matching scores from "ground-truth" high-resolution genotypes against scores from genotypes which are imputed from low-resolution genotypes. Analysis was focused on a simulated patient-donor dataset and confirmed using two real-world datasets, and deviations were aggregated based on various ancestry assumptions. Results We observed that using multiple imputation generally results in lower error in molecular matching scores compared to single imputation, and that using the correct ancestry assumptions can reduce error introduced during imputation. Discussion We conclude that for epitope analysis, imputation is a valuable and low-risk strategy, as long as care is taken regarding epitope analysis context, ancestry assumptions, and (multiple) imputation strategy.
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Affiliation(s)
| | - Eric Spierings
- Center for Translational Immunology and Central Diagnostics Laboratory, University Medical Center, Utrecht, Netherlands
| | | | - Abeer Madbouly
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Stefan Schaub
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
- Transplantation Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
- HLA-Diagnostics and Immunogenetics, Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Eric T. Weimer
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, United States
- Molecular Immunology Laboratory, McLendon Clinical Laboratories, UNC Hospitals, Chapel Hill, NC, United States
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Luo Y, Kanai M, Choi W, Li X, Sakaue S, Yamamoto K, Ogawa K, Gutierrez-Arcelus M, Gregersen PK, Stuart PE, Elder JT, Forer L, Schönherr S, Fuchsberger C, Smith AV, Fellay J, Carrington M, Haas DW, Guo X, Palmer ND, Chen YDI, Rotter JI, Taylor KD, Rich SS, Correa A, Wilson JG, Kathiresan S, Cho MH, Metspalu A, Esko T, Okada Y, Han B, McLaren PJ, Raychaudhuri S. A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response. Nat Genet 2021; 53:1504-1516. [PMID: 34611364 PMCID: PMC8959399 DOI: 10.1038/s41588-021-00935-7] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 08/02/2021] [Indexed: 02/08/2023]
Abstract
Fine-mapping to plausible causal variation may be more effective in multi-ancestry cohorts, particularly in the MHC, which has population-specific structure. To enable such studies, we constructed a large (n = 21,546) HLA reference panel spanning five global populations based on whole-genome sequences. Despite population-specific long-range haplotypes, we demonstrated accurate imputation at G-group resolution (94.2%, 93.7%, 97.8% and 93.7% in admixed African (AA), East Asian (EAS), European (EUR) and Latino (LAT) populations). Applying HLA imputation to genome-wide association study data for HIV-1 viral load in three populations (EUR, AA and LAT), we obviated effects of previously reported associations from population-specific HIV studies and discovered a novel association at position 156 in HLA-B. We pinpointed the MHC association to three amino acid positions (97, 67 and 156) marking three consecutive pockets (C, B and D) within the HLA-B peptide-binding groove, explaining 12.9% of trait variance.
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Affiliation(s)
- Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Masahiro Kanai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Wanson Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Xinyi Li
- Committee on Genetics, Genomics, and Systems Biology, University of Chicago, Chicago, IL, USA
| | - Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Pediatrics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kotaro Ogawa
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Neurology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Maria Gutierrez-Arcelus
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Peter K Gregersen
- The Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institute for Medical Research,North Short LIJ Health System, Manhasset, NY, USA
| | - Philip E Stuart
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
| | - James T Elder
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA
- Ann Arbor Veterans Affairs Hospital, Ann Arbor, MI, USA
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Christian Fuchsberger
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
| | - Albert V Smith
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jacques Fellay
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, USA
| | - David W Haas
- Vanderbilt University Medical Center, Nashville, TN, USA
- Meharry Medical College, Nashville, TN, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Adolfo Correa
- Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - James G Wilson
- Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Sekar Kathiresan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cardiology Division of the Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tonu Esko
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Buhm Han
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea
| | - Paul J McLaren
- J.C. Wilt Infectious Diseases Research Centre, National Microbiology Laboratories, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester, Manchester, UK.
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Ibrahim TAM, Govender D, Abdullah MA, Noble JA, Hussien MO, Lane JA, Mack SJ, Martin GGN, Atkinson MA, Wasserfall CH, Ogle GD. Clinical features, biochemistry, and HLA-DRB1 status in youth-onset type 1 diabetes in Sudan. Pediatr Diabetes 2021; 22:749-757. [PMID: 33837995 PMCID: PMC8274711 DOI: 10.1111/pedi.13209] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/08/2021] [Accepted: 03/24/2021] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To further understand clinical and biochemical features, and HLA-DRB1 genotypes, in new cases of diabetes in Sudanese children and adolescents. RESEARCH DESIGN AND METHODS Demographic characteristics, clinical information, and biochemical parameters (blood glucose, HbA1c, C-peptide, autoantibodies against glutamic acid decarboxylase 65 [GADA] and insulinoma-associated protein-2 [IA-2A], and HLA-DRB1) were assessed in 99 individuals <18 years, recently (<18 months) clinically diagnosed with T1D. HLA-DRB1 genotypes for 56 of these Arab individuals with T1D were compared to a mixed control group of 198 healthy Arab (75%) and African (25%) individuals without T1D. RESULTS Mean ± SD age at diagnosis was 10.1 ± 4.3 years (range 0.7-17.6 years) with mode at 9-12 years. A female preponderance was observed. Fifty-two individuals (55.3%) presented in diabetic ketoacidosis (DKA). Mean ± SD serum fasting C-peptide values were 0.22 ± 0.25 nmol/L (0.66±0.74 ng/ml). 31.3% were autoantibody negative, 53.4% were GADA positive, 27.2% were IA-2A positive, with 12.1% positive for both autoantibodies. Association analysis compared to 198 controls of similar ethnic origin revealed strong locus association with HLA-DRB1 (p < 2.4 × 10-14 ). Five HLA-DRB1 alleles exhibited significant T1D association: three alleles (DRB1*03:01, DRB1*04:02, and DRB1*04:05) were positively associated, while three (DRB1*10:01, DRB1*15:02, and DRB1*15:03) were protective. DRB1*03:01 had the strongest association (odds ratio = 5.04, p = 1.7 × 10-10 ). CONCLUSIONS Young Sudanese individuals with T1D generally have similar characteristics to reported European-origin T1D populations. However, they have higher rates of DKA and slightly lower autoantibody rates than reported European-origin populations, and a particularly strong association with HLA-DRB1*03:01.
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Affiliation(s)
| | - Denira Govender
- Life for a Child Program, Diabetes NSW, Glebe, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Mohamed Ahmed Abdullah
- Sudanese Children's Diabetes Association, Khartoum, Sudan
- Faculty of Medicine, University of Khartoum, Khartoum, Sudan
| | - Janelle Annette Noble
- Children's Hospital Oakland Research Institute, Oakland, California, USA
- Department of Pediatrics, University of California, San Francisco, Oakland, California, USA
| | - Mohammed Osman Hussien
- Central Laboratory, Ministry of Higher Education and Scientific Research, Khartoum, Sudan
| | - Julie Ann Lane
- Children's Hospital Oakland Research Institute, Oakland, California, USA
| | - Steven John Mack
- Department of Pediatrics, University of California, San Francisco, Oakland, California, USA
| | | | - Mark Alvin Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, Florida, USA
- Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, Florida, USA
| | - Clive Henry Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, Florida, USA
| | - Graham David Ogle
- Life for a Child Program, Diabetes NSW, Glebe, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
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Rangasamy N, Chinniah R, Ravi PM, Vijayan M, Sivanadham R, K V D, Pandi S, Sevak V, Krishnan P, Karuppiah B. HLA-DRB1* and DQB1* allele and haplotype diversity in eight tribal populations: Global affinities and genetic basis of diseases in South India. INFECTION GENETICS AND EVOLUTION 2020; 89:104685. [PMID: 33359263 DOI: 10.1016/j.meegid.2020.104685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/18/2020] [Accepted: 12/19/2020] [Indexed: 12/21/2022]
Abstract
The distribution of HLA class-II DRB1* and DQB1* alleles/ haplotypes were studied in 438 individuals of 8 Dravidian tribal groups inhabiting the Western Ghats, south India. The HLA typing was performed by PCR-SSP method. In order to identify the 5-locus Ancestral Extended Haplotypes (AEH), the alleles of HLA-A, -B and -C loci were typed for DNAs with predominant 2-locus haplotypes. The analyses have revealed allele HLA-DRB1*15 as the most predominant allele (Lowest / Highest range: Urali, 14.81 / Malasar, 48.94), followed by the alleles DRB1*10 (Katunayakan, 1.85 / Paliyan, 48.21), DRB1*14 (Paliyan 4.46 / Katunayakan, 40.74), DRB1*12 (Mannan, 1.64 / Katunayakan, 20.37) and DRB1*03 (Mannan, 1.64 / Urali, 29.63). The most frequent DQB1* alleles were DQB1*02 (Paliyan 3.57 / Urali, 23.15), DQB1*05 (Katunayakan, 27.77 / Paliyan 84.82) and DQB1*06 (Malasar, 8.51 / Kuruman, 33.51). The most predominant two-locus haplotypes observed were DRB1*15-DQB1*05, DRB1*10-DQB1*05, DRB1*15-DQB1*06 and DRB1*04-DQB1*05. The present study of HLA immunogenetics of south Indian tribes have revealed the presence of globally shared two and 5-locus haplotypes. Many of these haplotypes were implicated in a number of diseases in south India. We observed the presence of ancestral extended haplotypes (AEHs), hitherto not reported in Indian populations such as, A*68-B*35-C*02-DRB1*15:01-DQB1*05:01, A*24-B*57-C*06-DRB1*04:01-DQB1*05:01 and A*24-B*35-C*02-DRB1*15:01-DQB1*05:02. The dendrogram based phylogenetic analyses have revealed the Caucasian affinity of Urali, palaeo-Mediterranean and Indo-European affinity of Malasar tribes. The presence of globally shared susceptible and protective haplotypes reiterated the mosaic immunogenetic fabric of south Indian tribes.
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Affiliation(s)
- Nandakumar Rangasamy
- PG & Research Department of Zoology, Periyar EVR College, Tiruchirappalli 620023, Tamil Nadu, India
| | - Rathika Chinniah
- Department of Immunology, Madurai Kamaraj University, Madurai 625021, India
| | - Padma-Malini Ravi
- Department of Immunology, Madurai Kamaraj University, Madurai 625021, India
| | - Murali Vijayan
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas 79430, USA
| | | | - Darsa K V
- Department of Environmental Studies, Madurai Kamaraj University, Madurai 625021, Tamil Nadu, India
| | - Sasiharan Pandi
- Department of Immunology, Madurai Kamaraj University, Madurai 625021, India
| | - Vandit Sevak
- Department of Immunology, Madurai Kamaraj University, Madurai 625021, India
| | - Prabhakaran Krishnan
- PG & Research Department of Zoology, Periyar EVR College, Tiruchirappalli 620023, Tamil Nadu, India
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Barquera R, Hernández-Zaragoza DI, Bravo-Acevedo A, Arrieta-Bolaños E, Clayton S, Acuña-Alonzo V, Martínez-Álvarez JC, López-Gil C, Adalid-Sáinz C, Vega-Martínez MDR, Escobedo-Ruíz A, Juárez-Cortés ED, Immel A, Pacheco-Ubaldo H, González-Medina L, Lona-Sánchez A, Lara-Riegos J, Sánchez-Fernández MGDJ, Díaz-López R, Guizar-López GU, Medina-Escobedo CE, Arrazola-García MA, Montiel-Hernández GD, Hernández-Hernández O, Ramos-de la Cruz FDR, Juárez-Nicolás F, Pantoja-Torres JA, Rodríguez-Munguía TJ, Juárez-Barreto V, Delgado-Aguirre H, Escutia-González AB, Goné-Vázquez I, Benítez-Arvizu G, Arellano-Prado FP, García-Arias VE, Rodríguez-López ME, Méndez-Mani P, García-Álvarez R, González-Martínez MDR, Aquino-Rubio G, Escareño-Montiel N, Vázquez-Castillo TV, Uribe-Duarte MG, Ruíz-Corral MDJ, Ortega-Yáñez A, Bernal-Felipe N, Gómez-Navarro B, Arriaga-Perea AJ, Martínez-Bezies V, Macías-Medrano RM, Aguilar-Campos JA, Solís-Martínez R, Serrano-Osuna R, Sandoval-Sandoval MJ, Jaramillo-Rodríguez Y, Salgado-Adame A, Juárez-de la Cruz F, Novelo-Garza B, Pavón-Vargas MDLÁ, Salgado-Galicia N, Bortolini MC, Gallo C, Bedoya G, Rothhammer F, González-José R, Ruiz-Linares A, Canizales-Quinteros S, Romero-Hidalgo S, Krause J, Zúñiga J, Yunis EJ, Bekker-Méndez C, Granados J. The immunogenetic diversity of the HLA system in Mexico correlates with underlying population genetic structure. Hum Immunol 2020; 81:461-474. [PMID: 32651014 DOI: 10.1016/j.humimm.2020.06.008] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 12/15/2022]
Abstract
We studied HLA class I (HLA-A, -B) and class II (HLA-DRB1, -DQB1) allele groups and alleles by PCR-SSP based typing in a total of 15,318 mixed ancestry Mexicans from all the states of the country divided into 78 sample sets, providing information regarding allelic and haplotypic frequencies and their linkage disequilibrium, as well as admixture estimates and genetic substructure. We identified the presence of 4268 unique HLA extended haplotypes across Mexico and find that the ten most frequent (HF > 1%) HLA haplotypes with significant linkage disequilibrium (Δ'≥0.1) in Mexico (accounting for 20% of the haplotypic diversity of the country) are of primarily Native American ancestry (A*02~B*39~DRB1*04~DQB1*03:02, A*02~B*35~DRB1*08~DQB1*04, A*68~B*39~DRB1*04~DQB1*03:02, A*02~B*35~DRB1*04~DQB1*03:02, A*24~B*39~DRB1*14~DQB1*03:01, A*24~B*35~DRB1*04~DQB1*03:02, A*24~B*39~DRB1*04~DQB1*03:02, A*02~B*40:02~DRB1*04~DQB1*03:02, A*68~B*35~DRB1*04~DQB1*03:02, A*02~B*15:01~DRB1*04~DQB1*03:02). Admixture estimates obtained by a maximum likelihood method using HLA-A/-B/-DRB1 as genetic estimators revealed that the main genetic components in Mexico as a whole are Native American (ranging from 37.8% in the northern part of the country to 81.5% in the southeastern region) and European (ranging from 11.5% in the southeast to 62.6% in northern Mexico). African admixture ranged from 0.0 to 12.7% not following any specific pattern. We were able to detect three major immunogenetic clusters correlating with genetic diversity and differential admixture within Mexico: North, Central and Southeast, which is in accordance with previous reports using genome-wide data. Our findings provide insights into the population immunogenetic substructure of the whole country and add to the knowledge of mixed ancestry Latin American population genetics, important for disease association studies, detection of demographic signatures on population variation and improved allocation of public health resources.
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Affiliation(s)
- Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany; Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico.
| | - Diana Iraíz Hernández-Zaragoza
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico; Immunogenetics Unit, Técnicas Genéticas Aplicadas a la Clínica (TGAC), Mexico City, Mexico
| | - Alicia Bravo-Acevedo
- Blood Bank, UMAE Hospital de Gineco Obstetricia No. 4 "Luis Castelazo Ayala", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | | | - Stephen Clayton
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany
| | - Víctor Acuña-Alonzo
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Julio César Martínez-Álvarez
- HLA Laboratory, Central Blood Bank, Hospital de Especialidades, Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Concepción López-Gil
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | - Carmen Adalid-Sáinz
- Laboratory of Histocompatibility, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - María Del Rosario Vega-Martínez
- Molecular Biology and Histocompatibility Laboratory, Hospital Central Sur de Alta Especialidad, Petróleos Mexicanos (PEMEX), Mexico City, Mexico
| | - Araceli Escobedo-Ruíz
- Histocompatibility Laboratory, Hospital de Especialidades, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Eva Dolores Juárez-Cortés
- Histocompatibility Laboratory, Central Blood Bank, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Alexander Immel
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany; Institute of Clinical Molecular Biology (IKMB), Kiel University, University Hospital, Schleswig-Holstein, Germany
| | - Hanna Pacheco-Ubaldo
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Liliana González-Medina
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Abraham Lona-Sánchez
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Julio Lara-Riegos
- Chemistry Faculty, Universidad Autónoma de Yucatán (UADY), Mérida, Yucatán, Mexico
| | - María Guadalupe de Jesús Sánchez-Fernández
- Department of Nephrology and Transplantation Unit, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Rosario Díaz-López
- Molecular Biology Laboratory, Hospital Central Militar, Secretaría de la Defensa Nacional (SEDENA), Mexico City, Mexico
| | - Gregorio Ulises Guizar-López
- Molecular Biology Laboratory, Hospital Central Militar, Secretaría de la Defensa Nacional (SEDENA), Mexico City, Mexico
| | - Carolina Elizabeth Medina-Escobedo
- Unit of Research and Education in Health, Unidad Médica de Alta Especialidad (UMAE) # 10, Instituto Mexicano del Seguro Social (IMSS), Mérida, Yucatán, Mexico
| | - María Araceli Arrazola-García
- HLA Laboratory, Central Blood Bank, Hospital de Especialidades, Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | | | | | - Flor Del Rocío Ramos-de la Cruz
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | | | - Jorge Arturo Pantoja-Torres
- Immunology Division, Unidad Médica de Alta Especialidad (UMAE) # 1, Instituto Mexicano del Seguro Social (IMSS), León, Guanajuato, Mexico
| | - Tirzo Jesús Rodríguez-Munguía
- Molecular Biology Laboratory, Hospital General "Norberto Treviño Zapata", Dirección de Servicios de Salud de Tamaulipas, Ciudad Victoria, Tamaulipas, Mexico
| | | | - Héctor Delgado-Aguirre
- Laboratory of Histocompatibility, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | | | - Isis Goné-Vázquez
- Histocompatibility Laboratory, Hospital de Especialidades, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Gamaliel Benítez-Arvizu
- HLA Laboratory, Central Blood Bank, Hospital de Especialidades, Unidad Médica de Alta Especialidad (UMAE), Centro Médico Nacional "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Francia Paulina Arellano-Prado
- Pediatrics Hospital, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Víctor Eduardo García-Arias
- Pediatrics Hospital, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Marla Estefanía Rodríguez-López
- Pediatrics Hospital, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Patricia Méndez-Mani
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | - Raquel García-Álvarez
- Pharmacology Laboratory, Research Unit, Instituto Nacional de Pediatría (INP), Mexico City, Mexico
| | | | - Guadalupe Aquino-Rubio
- Molecular Biology Laboratory, Hospital General "Norberto Treviño Zapata", Dirección de Servicios de Salud de Tamaulipas, Ciudad Victoria, Tamaulipas, Mexico
| | - Néstor Escareño-Montiel
- Department of Transplantation, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | | | - María Guadalupe Uribe-Duarte
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - María de Jesús Ruíz-Corral
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - Andrea Ortega-Yáñez
- Department of Development Genetics and Molecular Physiology, Instituto de Biotecnología (IBT), Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, Mexico
| | | | - Benjamín Gómez-Navarro
- Central Office of Nephrology, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico
| | - Agustín Jericó Arriaga-Perea
- Histocompatibility Laboratory, Central Blood Bank, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | | | - Rosa María Macías-Medrano
- Histocompatibility Laboratory, Central Blood Bank, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Jesús Abraham Aguilar-Campos
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - Raúl Solís-Martínez
- Department of Molecular Biology, Laboratorios Diagnóstica, Villahermosa, Tabasco, Mexico
| | - Ricardo Serrano-Osuna
- Clinical Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 2, Instituto Mexicano del Seguro Social (IMSS), Ciudad Obregón, Sonora, Mexico
| | - Mario J Sandoval-Sandoval
- Central Office of Transplantation, Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico; Health Research Division, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Yolanda Jaramillo-Rodríguez
- Direction of Health Education and Research, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Antonio Salgado-Adame
- Direction of Health Education and Research, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Federico Juárez-de la Cruz
- Department of Transplantation, Unidad Médica de Alta Especialidad (UMAE) # 71, Instituto Mexicano del Seguro Social (IMSS), Torreón, Coahuila, Mexico
| | - Bárbara Novelo-Garza
- Medical Infrastructure Planning Committee, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - María de Los Ángeles Pavón-Vargas
- Histocompatibility Laboratory, Unidad Médica de Alta Especialidad (UMAE) # 6, Instituto Mexicano del Seguro Social (IMSS), Puebla, Puebla, Mexico
| | - Norma Salgado-Galicia
- Molecular Biology and Histocompatibility Laboratory, Hospital Central Sur de Alta Especialidad, Petróleos Mexicanos (PEMEX), Mexico City, Mexico
| | - Maria Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Gabriel Bedoya
- Genética Molecular (GENMOL, Universidad de Antioquia, Medellín, Colombia
| | - Francisco Rothhammer
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile; Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - Rolando González-José
- Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China; Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Sandra Romero-Hidalgo
- Department of Computational Genomics, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), Jena, Germany
| | - Joaquín Zúñiga
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
| | - Edmond J Yunis
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Carolina Bekker-Méndez
- Immunology and Infectology Research Unit, Infectology Hospital, Centro Médico Nacional "La Raza", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Julio Granados
- Department of Transplantation, Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán" (INCMNSZ), Mexico City, Mexico.
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6
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Zabeen B, Govender D, Hassan Z, Noble JA, Lane JA, Mack SJ, Atkinson MA, Azad K, Wasserfall CH, Ogle GD. Clinical features, biochemistry and HLA-DRB1 status in children and adolescents with diabetes in Dhaka, Bangladesh. Diabetes Res Clin Pract 2019; 158:107894. [PMID: 31669629 PMCID: PMC6988504 DOI: 10.1016/j.diabres.2019.107894] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 10/22/2019] [Indexed: 11/30/2022]
Abstract
AIMS Little information is published on diabetes in young people in Bangladesh. We aimed to investigate the demographic, clinical, and biochemical features, and HLA-DRB1 alleles in new cases of diabetes affecting Bangladeshi children and adolescents <22 years of age. METHODS The study was conducted at Bangladesh Institute of Research and Rehabilitation of Diabetes, Endocrine and Metabolic Disorders (BIRDEM) in Dhaka. One hundred subjects aged <22 years at diagnosis were enrolled. Demographic characteristics, clinical information, biochemical parameters (blood glucose, HbA1c, C-peptide, and autoantibodies against glutamic acid decarboxylase 65 (GADA) and islet antigen-2 (IA-2A) were measured. High-resolution DNA genotyping was performed for HLA-DRB1. RESULTS Eighty-four subjects were clinically diagnosed as type 1 diabetes (T1D), seven as type 2 diabetes (T2D), and nine as fibrocalculous pancreatic disease (FCPD). Of the 84 with T1D, 37 (44%) were males and 47 (56%) females, with median age at diagnosis 13 years (y) (range 1.6-21.7) and peak age at onset 12-15 years. 85% of subjects were assessed within one month of diagnosis and all within eleven months. For subjects diagnosed with T1D, mean C-peptide was 0.46 ± 0.22 nmol/L (1.40 ± 0.59 ng/mL), with 9 (10.7%) IA-2A positive, 22 (26%) GADA positive, and 5 (6%) positive for both autoantibodies. Analysis of HLA-DRB1 genotypes revealed locus-level T1D association (p = 6.0E-05); DRB1*04:01 appeared predisposing (p < 3.0E-06), and DRB1*14:01 appeared protective (p = 1.7E-02). CONCLUSIONS Atypical forms of T1D appear to be more common in young people in Bangladesh than in European populations. This will be helpful in guiding more specific assessment at onset and potentially, expanding treatment options.
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Affiliation(s)
- Bedowra Zabeen
- Department of Changing Diabetes in Children, Bangladesh Institute of Research and Rehabilitation of Diabetes, Endocrine and Metabolic Disorders, Dhaka, Bangladesh
| | - Denira Govender
- Life for a Child Program, Diabetes NSW, Glebe, NSW 2037, Australia; Sydney Medical School, University of Sydney, NSW 2006, Australia.
| | - Zahid Hassan
- Dept of Physiology and Molecular Biology, Bangladesh University of Health Sciences (BUHS), Mirpur-1, Dhaka, Bangladesh & Dept of Physiology, Tairunnessa Memorial Medical College, Gazipur, Bangladesh.
| | | | - Julie A Lane
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA.
| | - Steven John Mack
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA.
| | - Mark Alvin Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA.
| | - Kishwar Azad
- Department of Changing Diabetes in Children, Bangladesh Institute of Research and Rehabilitation of Diabetes, Endocrine and Metabolic Disorders, Dhaka, Bangladesh.
| | - Clive Henry Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA.
| | - Graham David Ogle
- Sydney Medical School, University of Sydney, NSW 2006, Australia; Diabetes NSW, Sydney, Australia.
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7
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Next-generation sequencing reveals new information about HLA allele and haplotype diversity in a large European American population. Hum Immunol 2019; 80:807-822. [PMID: 31345698 DOI: 10.1016/j.humimm.2019.07.275] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Revised: 06/21/2019] [Accepted: 07/06/2019] [Indexed: 12/11/2022]
Abstract
The human leukocyte antigen (HLA) genes are extremely polymorphic and are useful molecular markers to make inferences about human population history. However, the accuracy of the estimation of genetic diversity at HLA loci very much depends on the technology used to characterize HLA alleles; high-resolution genotyping of long-range HLA gene products improves the assessment of HLA population diversity as well as other population parameters compared to lower resolution typing methods. In this study we examined allelic and haplotype HLA diversity in a large healthy European American population sourced from the UCSF-DNA bank. A high-resolution next-generation sequencing method was applied to define non-ambiguous 3- and 4-field alleles at the HLA-A, HLA-C, HLA-B, HLA-DRB1, HLA-DRB3/4/5, HLA-DQA1, HLA-DQB1, HLA-DPA1, and HLA-DPB1 loci in samples provided by 2248 unrelated individuals. A number of population parameters were examined including balancing selection and various measurements of linkage disequilibrium were calculated. There were no detectable deviations from Hardy-Weinberg proportions at HLA-A, HLA-DRB1, HLA-DQA1 and HLA-DQB1. For the remaining loci moderate and significant deviations were detected at HLA-C, HLA-B, HLA-DRB3/4/5, HLA-DPA1 and HLA-DPB1 loci mostly from population substructures. Unique 4-field associations were observed among alleles at 2 loci and haplotypes extending large intervals that were not apparent in results obtained using testing methodologies with limited sequence coverage and phasing. The high diversity at HLA-DPA1 results from detection of intron variants of otherwise well conserved protein sequences. It may be speculated that divergence in exon sequences may be negatively selected. Our data provides a valuable reference source for future population studies that may allow for precise fine mapping of coding and non-coding sequences determining disease susceptibility and allo-immunogenicity.
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8
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Arrieta-Bolaños E, Madrigal-Sánchez JJ, Stein JE, Órlich-Pérez P, Moreira-Espinoza MJ, Paredes-Carias E, Vanegas-Padilla Y, Salazar-Sánchez L, Madrigal JA, Marsh SGE, Shaw BE. High-resolution HLA allele and haplotype frequencies in majority and minority populations of Costa Rica and Nicaragua: Differential admixture proportions in neighboring countries. HLA 2019; 91:514-529. [PMID: 29687625 DOI: 10.1111/tan.13280] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 04/13/2018] [Accepted: 04/18/2018] [Indexed: 02/03/2023]
Abstract
The HLA system shows the most extensive polymorphism in the human genome. Allelic and haplotypic frequencies of HLA genes vary dramatically across human populations. Due to a complex history of migration, populations in Latin America show a broad variety of admixture proportions, usually varying not only between countries, but also within countries. Knowledge of HLA allele and haplotype frequencies is essential for medical fields such as transplantation, but also serves as a means to assess genetic diversity and ancestry in human populations. Here, we have determined high-resolution HLA-A, -B, -C, and -DRB1 allele and haplotype frequencies in a sample of 713 healthy subjects from three Mestizo populations, one population of African descent, and Amerindians of five different groups from Costa Rica and Nicaragua and compared their profiles to a large set of indigenous populations from Iberia, Sub-Saharan Africa, and the Americas. Our results show a great degree of allelic and haplotypic diversity within and across these populations, with most extended haplotypes being private. Mestizo populations show alleles and haplotypes of putative European, Amerindian, and Sub-Saharan African origin, albeit with differential proportions. Despite some degree of gene flow, Amerindians and Afro-descendants show great similarity to other Amerindian and West African populations, respectively. This is the first comprehensive study reporting high-resolution HLA diversity in Central America, and its results will shed light into the genetic history of this region while also supporting the development of medical programs for organ and stem cell transplantation.
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Affiliation(s)
- E Arrieta-Bolaños
- Institute for Experimental Cellular Therapy, University Hospital, Essen, Germany.,Anthony Nolan Research Institute, Royal Free Hospital, London, UK.,Centro de Investigaciones en Hematología y Trastornos Afines (CIHATA), Universidad de Costa Rica, San José, Costa Rica
| | | | - J E Stein
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
| | - P Órlich-Pérez
- Centro de Investigaciones en Hematología y Trastornos Afines (CIHATA), Universidad de Costa Rica, San José, Costa Rica.,División de Banco de Células Madre, Laboratorio Clínico, Hospital San Juan de Dios, San José, Costa Rica
| | - M J Moreira-Espinoza
- Departamento de Ciencias Morfológicas, Universidad Nacional Autónoma de Nicaragua, León, Nicaragua
| | - E Paredes-Carias
- Departamento de Ciencias Morfológicas, Universidad Nacional Autónoma de Nicaragua, León, Nicaragua
| | - Y Vanegas-Padilla
- Departamento de Ciencias Morfológicas, Universidad Nacional Autónoma de Nicaragua, León, Nicaragua
| | - L Salazar-Sánchez
- Escuela de Medicina, Universidad de Costa Rica, San José, Costa Rica
| | - J A Madrigal
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK.,Cancer Institute, University College London, London, UK
| | - S G E Marsh
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK.,Cancer Institute, University College London, London, UK
| | - B E Shaw
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK.,Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, USA
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9
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Marques PI, Gonçalves JC, Monteiro C, Cavadas B, Nagirnaja L, Barros N, Barros A, Carvalho F, Lopes AM, Seixas S. Semen quality is affected by HLA class I alleles together with sexually transmitted diseases. Andrology 2019; 7:867-877. [PMID: 31002754 DOI: 10.1111/andr.12625] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 02/28/2019] [Accepted: 03/14/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND The human leukocyte antigen (HLA) locus includes several genes with key roles in antigen presentation and immune response, some of them inclusively found to be associated with non-obstructive azoospermia. Still, HLA connections to other infertility phenotypes such as semen hyperviscosity (SHV), asthenozoospermia (AST), and oligozoospermia (OLI) have been often neglected. OBJECTIVES In this work, we aimed to evaluate the association of HLA class I and II genes with SHV, AST, and OLI phenotypes while exploring a possible role in an adaptive immune response to sexually transmitted diseases (STD). MATERIALS AND METHODS Whole-exome sequencing was performed in a Portuguese cohort of 71 infertility cases and 68 controls, followed by HLA typing using a specific software-HLA*PRG:LA tool. Molecular screenings of seven STD were carried out in a subset of 72 samples (30 cases and 42 controls). RESULTS Statistical tests uncovered three protective alleles: HLA-A*11:01, associated with all forms of male infertility (p = 0.0006); HLA-DQB1*03:02 with SHV and OLI (PSHV = 0.0303, POLI = 0.0153); and HLA-A*29:02 with OLI (p = 0.0355), which was found to interfere in sperm number together with HPV (p = 0.0313). Five risk alleles were also identified: two linked with SHV (HLA-B*50:01, p = 0.0278; and HLA-C*06:02, p = 0.0461), another one with both SHV and OLI (HLA-DQA1*05:01, PSHV = 0.0444 and POLI =0.0265), and two with OLI (HLA-C*03:03, p = 0.0480; and HLA-DQB1*03:01, p = 0.0499). Here, HLA-C*03:03 carriers tend to be HPV infected. CONCLUSIONS The application of HLA*PRG:LA tool to the study of male infertility provided novel insights for an HLA correlation with semen quality, namely among SHV and OLI phenotypes. The discovery of an HLA-A*29:02/HPV crosstalk, together with former reports of HLA alleles conferring resistance-susceptibility to diverse human pathogens, raises the hypothesis of a mechanistic link between male infertility, HLA polymorphism, and host response to STD.
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Affiliation(s)
- P I Marques
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Porto, Portugal
| | - J C Gonçalves
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Porto, Portugal
| | - C Monteiro
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Porto, Portugal
| | - B Cavadas
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Porto, Portugal.,Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
| | - L Nagirnaja
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - N Barros
- Center for Reproductive Genetics Alberto Barros, Porto, Portugal
| | - A Barros
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Center for Reproductive Genetics Alberto Barros, Porto, Portugal.,Genetics, Department of Pathology, Faculty of Medicine, University of Porto, Porto, Portugal
| | - F Carvalho
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Genetics, Department of Pathology, Faculty of Medicine, University of Porto, Porto, Portugal
| | - A M Lopes
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Porto, Portugal
| | - S Seixas
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto (i3S), Porto, Portugal.,Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Porto, Portugal
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10
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Mack SJ, Udell J, Cohen F, Osoegawa K, Hawbecker SK, Noonan DA, Ladner MB, Goodridge D, Trachtenberg EA, Oksenberg JR, Erlich HA. High resolution HLA analysis reveals independent class I haplotypes and amino-acid motifs protective for multiple sclerosis. Genes Immun 2019; 20:308-326. [PMID: 29307888 PMCID: PMC6035897 DOI: 10.1038/s41435-017-0006-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 07/31/2017] [Accepted: 08/11/2017] [Indexed: 11/24/2022]
Abstract
We investigated association between HLA class I and class II alleles and haplotypes, and KIR loci and their HLA class I ligands, with multiple sclerosis (MS) in 412 European American MS patients and 419 ethnically matched controls, using next-generation sequencing. The DRB1*15:01~DQB1*06:02 haplotype was highly predisposing (odds ratio (OR) = 3.98; 95% confidence interval (CI) = 3-5.31; p-value (p) = 2.22E-16), as was DRB1*03:01~DQB1*02:01 (OR = 1.63; CI = 1.19-2.24; p = 1.41E-03). Hardy-Weinberg (HW) analysis in MS patients revealed a significant DRB1*03:01~DQB1*02:01 homozyote excess (15 observed; 8.6 expected; p = 0.016). The OR for this genotype (5.27; CI = 1.47-28.52; p = 0.0036) suggests a recessive MS risk model. Controls displayed no HW deviations. The C*03:04~B*40:01 haplotype (OR = 0.27; CI = 0.14-0.51; p = 6.76E-06) was highly protective for MS, especially in haplotypes with A*02:01 (OR = 0.15; CI = 0.04-0.45; p = 6.51E-05). By itself, A*02:01 is moderately protective, (OR = 0.69; CI = 0.54-0.87; p = 1.46E-03), and haplotypes of A*02:01 with the HLA-B Thr80 Bw4 variant (Bw4T) more so (OR = 0.53; CI = 0.35-0.78; p = 7.55E-04). Protective associations with the Bw4 KIR ligand resulted from linkage disequilibrium (LD) with DRB1*15:01, but the Bw4T variant was protective (OR = 0.64; CI = 0.49-0.82; p = 3.37-04) independent of LD with DRB1*15:01. The Bw4I variant was not associated with MS. Overall, we find specific class I HLA polymorphisms to be protective for MS, independent of the strong predisposition conferred by DRB1*15:01.
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Affiliation(s)
- Steven J Mack
- Center for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA.
| | - Julia Udell
- University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Franziska Cohen
- Center for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA
| | - Kazutoyo Osoegawa
- Histocompatibility, Immunogenetics & Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA
| | - Sharon K Hawbecker
- Center for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA
| | - David A Noonan
- Center for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA
| | - Martha B Ladner
- Center for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA
| | | | | | - Jorge R Oksenberg
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Henry A Erlich
- Center for Genetics, Children's Hospital Oakland Research Institute, Oakland, CA, USA
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11
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Fawwad A, Govender D, Ahmedani MY, Basit A, Lane JA, Mack SJ, Atkinson MA, Henry Wasserfall C, Ogle GD, Noble JA. Clinical features, biochemistry and HLA-DRB1 status in youth-onset type 1 diabetes in Pakistan. Diabetes Res Clin Pract 2019; 149:9-17. [PMID: 30710658 PMCID: PMC6456725 DOI: 10.1016/j.diabres.2019.01.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 12/10/2018] [Accepted: 01/15/2019] [Indexed: 01/17/2023]
Abstract
Published information on diabetes in Pakistani youth is limited. We aimed to investigate the demographic, clinical, and biochemical features, and HLA-DRB1 alleles in new cases of diabetes affecting children and adolescents <22 years of age. The study was conducted at Baqai Institute of Diabetology and Endocrinology in Karachi from June 2013-December 2015. One hundred subjects aged <22 years at diagnosis were enrolled. Demographic characteristics, clinical information, biochemical parameters (blood glucose, HbA1c, C-peptide, glutamic acid decarboxylase 65 (GAD65) and islet antigen 2 (IA-2) autoantibodies) were measured. DNA from 100 subjects and 200 controls was extracted and genotyped for HLA-DRB1 using high-resolution genotyping technology. Ninety-nine subjects were clinically diagnosed as type 1 diabetes (T1D) and one as type 2 diabetes (T2D). Of the 99 with T1D, 57 (57.6%) were males and 42 (42.4%) females, with mean age at diagnosis 11.0 ± 5.2 years (range 1.6-21.7 years) and peaks at six and fifteen years. Fifty-seven subjects were assessed within one month of diagnosis and all within eleven months. For the subjects diagnosed as T1D, mean C-peptide was 0.63 ± 0.51 nmol/L (1.91 ± 1.53 ng/mL), with 16 (16.2%) IA2 positive, 53 (53.5%) GAD-65 positive, and 10 (10.1%) positive for both autoantibodies. In T1D patients, the allele DRB1*03:01 demonstrated highly significant T1D association (p < 10-16), with no apparent risk conferred by DRB1*04:xx alleles. CONCLUSIONS: Heterogeneous forms of T1D appear more common in children and youth in Pakistan than in European populations. Individual understanding of such cases could enable improved management strategies and healthier outcomes.
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Affiliation(s)
- Asher Fawwad
- Biochemistry Department, Baqai Medical University, Gadap, Karachi, Pakistan; Baqai Institute of Diabetology and Endocrinology, Nazimabad, Karachi, Pakistan.
| | - Denira Govender
- Life for a Child, Glebe, NSW 2037, Australia; Sydney Medical School, University of Sydney, NSW 2006, Australia.
| | | | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology, Nazimabad, Karachi, Pakistan.
| | - Julie Ann Lane
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA.
| | - Steven John Mack
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA.
| | - Mark Alvin Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA.
| | - Clive Henry Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA.
| | - Graham David Ogle
- Life for a Child, Glebe, NSW 2037, Australia; Diabetes NSW, Sydney, Australia.
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Ahmadov GA, Govender D, Atkinson MA, Sultanova RA, Eubova AA, Wasserfall CH, Mack SJ, Lane JA, Noble JA, Ogle GD. Epidemiology of childhood-onset type 1 diabetes in Azerbaijan: Incidence, clinical features, biochemistry, and HLA-DRB1 status. Diabetes Res Clin Pract 2018; 144:252-259. [PMID: 30218742 PMCID: PMC6384092 DOI: 10.1016/j.diabres.2018.09.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 09/10/2018] [Indexed: 01/27/2023]
Abstract
AIMS Determine the incidence and typology of diabetes in children in Azerbaijan. METHODS Clinical features, C-peptide, autoantibodies (glutamic acid decarboxylase 65 (GAD65) and islet antigen 2 (IA-2)), and HLA-DRB1 status were studied in 106 subjects <18 years of age who were recently diagnosed. 104 cases were consecutive. Incidence was determined for Baku and Absheron regions, where ascertainment is estimated to be essentially 100%. RESULTS 104 of the 106 (98%) were diagnosed with type 1 diabetes, one with type 2 diabetes and one with atypical diabetes. Type 1 diabetes incidence in Baku City and Absheron was 7.05 per 100,000 population <15 years per year. Peak age of onset was 10 years. There was a slight male preponderance (male:female 1.17:1), and no temporal association with seasons. Almost all type 1 diabetes subjects presented with classic symptoms including a high incidence (58%) of diabetic ketoacidosis. 86% presented with low C-peptide values (<0.13 nmol/L, <0.40 ng/mL) and 74% were positive for at least one type 1 diabetes-related autoantibody. CONCLUSIONS Azerbaijan has a moderate type 1 diabetes incidence and clinical, biochemical and genetic features similar to that in European populations.
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Affiliation(s)
- Gunduz Ahmad Ahmadov
- Endocrine Centre, Binagadi, Baku City, Azerbaijan; 6th Children's Hospital, Baku City, Azerbaijan; Azerbaijan Medical University, Baku City, Azerbaijan
| | - Denira Govender
- International Diabetes Federation Life for a Child Program, Glebe, NSW 2037, Australia; Sydney Medical School, University of Sydney, Sydney 2006, Australia
| | - Mark Alvin Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA
| | | | | | - Clive Henry Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL 32610, USA
| | - Steven John Mack
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA
| | - Julie Ann Lane
- Children's Hospital Oakland Research Institute, Oakland, CA 94609, USA
| | | | - Graham David Ogle
- International Diabetes Federation Life for a Child Program, Glebe, NSW 2037, Australia; Diabetes NSW, Glebe 2037, NSW, Australia.
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Abstract
HLAs are fundamental to the adaptive immune response and play critical roles in the cellular and humoral response in solid organ transplantation. The genes encoding HLA proteins are the most polymorphic within the human genome, with thousands of different allelic variants known within the population. Application of the principles of population genetics to the HLA genes has resulted in the development of a numeric metric, the calculated panel-reactive antibody (CPRA) that predicts the likelihood of a positive crossmatch as a function of a transplant candidate's unacceptable HLA antigens. The CPRA is an indispensible measure of access to transplantation for sensitized candidates and is used as the official measure of sensitization for allocation of points in the US Kidney Allocation System and Eurotransplant. Here, we review HLA population genetics and detail the mathematical basis of the CPRA. An understanding of these principles by transplant clinicians will lay the foundation for continued innovation in the care of sensitized patients.
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Donor-specific antibody to trans-encoded donor HLA-DQ heterodimer. Hum Immunol 2015; 76:587-90. [DOI: 10.1016/j.humimm.2015.09.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Revised: 06/17/2015] [Accepted: 09/12/2015] [Indexed: 11/23/2022]
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Saito PK, Yamakawa RH, Noguti EN, Bedendo GB, Júnior WVDS, Yamada SS, Borelli SD. HLA-A, HLA-B, and HLA-DRB1 Allele and Haplotype Frequencies in Renal Transplant Candidates in a Population in Southern Brazil. J Clin Lab Anal 2015; 30:258-65. [PMID: 25853623 DOI: 10.1002/jcla.21846] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2014] [Accepted: 02/23/2015] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Very few studies have examined the diversity of human leukocyte antigens (HLA) in the Brazilian renal transplant candidates. METHODS The frequencies of the HLA-A, HLA-B, and HLA-DRB1 alleles, haplotypes and phenotypes were studied in 522 patients with chronic renal failure, renal transplant candidates, registered at the Transplant Centers in north/northwestern Paraná State, southern Brazil. Patients were classified according to the ethnic group (319 whites [Caucasians], 134 mestizos [mixed race descendants of Europeans, Africans, and Amerindians; browns or "pardos"] and 69 blacks). The HLA typing was performed by the polymerase chain reaction sequence-specific oligonucleotide method (PCR-SSO), combined with Luminex technology. RESULTS In the analysis of the total samples, 20 HLA-A, 32 HLA-B, and 13 HLA-DRB1 allele groups were identified. The most frequent allele groups for each HLA locus were HLA-A*02 (25.4%), HLA-B*44 (10.9%), and HLA-DRB1*13 (13.9%). The most frequent haplotypes were HLA-A*01-B*08-DRB1*03 (2.3%), A*02-B*44-DRB1*07 (1.2%), and A*03-B*07-DRB1*11 (1.0%). Significant differences (P < 0.05) were observed in the HLA-A*68, B*08, and B*58 allele frequencies among ethnic groups. CONCLUSIONS This study provides the first data on the HLA-A, HLA-B, and HLA-DRB1 allele, phenotype and haplotype frequencies of renal transplant candidates in a population in southern Brazil.
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Affiliation(s)
- Patrícia Keiko Saito
- Department of Basic Health Sciences, Universidade Estadual de Maringá, Maringá, Brazil
| | - Roger Haruki Yamakawa
- Department of Basic Health Sciences, Universidade Estadual de Maringá, Maringá, Brazil
| | - Erika Noda Noguti
- Histogene Laboratory of Histocompatibility and Genetics, Maringá, Brazil
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Fabreti-Oliveira RA, Nascimento E, Fonseca CG, Santos MA. The heterogeneous HLA genetic composition of the Brazilian population and its relevance to the optimization of hematopoietic stem cell donor recruitment. ACTA ACUST UNITED AC 2014; 84:187-97. [DOI: 10.1111/tan.12352] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Revised: 02/20/2014] [Accepted: 03/17/2014] [Indexed: 01/05/2023]
Affiliation(s)
- R. A. Fabreti-Oliveira
- Departamento de Bioquímica e Imunologia; Universidade Federal de Minas Gerais; Belo Horizonte MG Brazil
- Departamento da Ciência da Computação; Universidade Federal de Minas Gerais; Belo Horizonte MG Brazil
- IMUNOLAB - Laboratório de Histocompatibilidade; Imunogenética e Imunologia de Transplantes; Belo Horizonte MG Brazil
| | - E. Nascimento
- IMUNOLAB - Laboratório de Histocompatibilidade; Imunogenética e Imunologia de Transplantes; Belo Horizonte MG Brazil
- Instituto de Ensino; Pesquisas e Clínica de Transplantes do Hospital Santa Casa de Belo Horizonte; Belo Horizonte MG Brazil
| | - C. G. Fonseca
- Departamento de Biologia Geral; Universidade Federal de Minas Gerais; Belo Horizonte MG Brazil
| | - M. A. Santos
- Departamento da Ciência da Computação; Universidade Federal de Minas Gerais; Belo Horizonte MG Brazil
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Heide G, Stuge TB, Skogen B, Husebekk A, Ahlen MT. The DR7-DQ2 Haplotype in a Native Norwegian Population. Scand J Immunol 2013; 77:429-30. [DOI: 10.1111/sji.12031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- G. Heide
- Immunology Research Group; Institute of Medical Biology; University of Tromsø; Tromsø; Norway
| | - T. B. Stuge
- Immunology Research Group; Institute of Medical Biology; University of Tromsø; Tromsø; Norway
| | | | | | - M. T. Ahlen
- Department of Laboratory Medicine; University Hospital North Norway; Tromsø; Norway
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Fürst D, Zollikofer C, Schrezenmeier H, Mytilineos J. TNFA promoter alleles--frequencies and linkage with classical HLA genes in a South German Caucasian population. ACTA ACUST UNITED AC 2013; 80:502-8. [PMID: 23137321 DOI: 10.1111/tan.12025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The tumor necrosis factor alpha (TNFA) promoter region exhibits several polymorphisms, which have been hypothesized to influence gene expression, thereby associating positively or negatively with inflammatory conditions. Many studies have focused on single nucleotide polymorphisms (SNPs) taking not into account additive or inverse effects between different SNPs. We typed 1,021 healthy Caucasian volunteer stem cell donors for their TNFA promoter as well as their HLA-A,-C,-B,-DRB1 loci. Using statistical methods, we reconstructed TNFA promoter alleles and analyzed their frequency and linkage with HLA genes. We show that the number of TNFA promoter alleles frequent enough to be analyzed in clinical studies is limited and that a strong linkage with classical HLA genes is present, especially for the extended HLA-haplotype HLA-A*01:01/HLA-C*07:01/HLA-B*08:01/TNFA promoter allele 3/HLA*DRB1*03:01. Taking into account SNP frequency information, it is possible to quite accurately deduce TNFA promoter alleles by generic Sanger sequencing, obviating the need for elaborating allele-specific sequencing. This information may enable investigators to consider the complete TNFA regulatory region in a phase-separated manner in contrast to previous approaches examining only one or few isolated SNPs.
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Affiliation(s)
- D Fürst
- Institute of Clinical Transfusion Medicine and Immunogenetics, German Red Cross Blood Transfusion Service, Baden Wuerttemberg-Hessen, Ulm, Germany.
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Mack SJ, Gourraud PA, Single RM, Thomson G, Hollenbach JA. Analytical methods for immunogenetic population data. Methods Mol Biol 2012; 882:215-44. [PMID: 22665237 PMCID: PMC4209087 DOI: 10.1007/978-1-61779-842-9_13] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In this chapter, we describe analyses commonly applied to immunogenetic population data, along with software tools that are currently available to perform those analyses. Where possible, we focus on tools that have been developed specifically for the analysis of highly polymorphic immunogenetic data. These analytical methods serve both as a means to examine the appropriateness of a dataset for testing a specific hypothesis, as well as a means of testing hypotheses. Rather than treat this chapter as a protocol for analyzing any population dataset, each researcher and analyst should first consider their data, the possible analyses, and any available tools in light of the hypothesis being tested. The extent to which the data and analyses are appropriate to each other should be determined before any analyses are performed.
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Affiliation(s)
- Steven J Mack
- Center for Genetics, Children's Hospital and Research Center Oakland, Oakland, CA, USA.
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Paximadis M, Mathebula TY, Gentle NL, Vardas E, Colvin M, Gray CM, Tiemessen CT, Puren A. Human leukocyte antigen class I (A, B, C) and II (DRB1) diversity in the black and Caucasian South African population. Hum Immunol 2011; 73:80-92. [PMID: 22074999 DOI: 10.1016/j.humimm.2011.10.013] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2011] [Revised: 09/05/2011] [Accepted: 10/03/2011] [Indexed: 01/24/2023]
Abstract
A cross-section of black and Caucasian South Africans (N = 302) were genotyped at high resolution (class I HLA-A, -B, -C and class II HLA-DRB1). Five new class I alleles (A*30:01:02, A*30:02:02, A*68:27, B*42:06, and B*45:07) and one new confirmatory allele (A*29:11) were identified in the black population. Alleles and haplotypes showed expected differences between the black and Caucasian populations, with the black population, on average, showing a broader spectrum of allele representation (less single allele dominance). The most prevalent alleles at the four loci in the black population were A*30:01, B*58:02, C*06:02, and DRB1*13:01 and in the Caucasian population were A*02:01:01, B*07:02:01, C*07:01, and DRB1*03:01. HLA-B, and HLA-C loci showed the strongest overall linkage disequilibrium (LD) and HLA-B/HLA-C two locus haplotypes also showed the strongest LD (D'(ij)) in both population groups. Bw allotype representation was similar between the two populations; however C allotypes differed significantly (C1 higher representation in Caucasians; C2 higher representation in blacks). HLA-A Supertype family phenotypic frequencies did not differ between the two populations, but four (B08, B27, B58, and B62) HLA-B Supertype families differed significantly. However, vaccine coverage estimation came close to 100% in both population groups, with inclusion of only four Supertype families (A1, A2, B7, B58).
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Affiliation(s)
- Maria Paximadis
- Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Services and the University of the Witwatersrand, Johannesburg, South Africa.
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22
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Eike MC, Humphreys K, Becker T, Olsson M, Lie BA. Three microsatellites from the T1DGC MHC data set show highly significant association with type 1 diabetes, independent of the HLA-DRB1, -DQA1 and -DQB1 genes. Diabetes Obes Metab 2009; 11 Suppl 1:17-24. [PMID: 19143811 PMCID: PMC2760257 DOI: 10.1111/j.1463-1326.2008.00999.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AIM The aim of this study was to test the microsatellites in the Type 1 Diabetes Genetics Consortium major histocompatibility complex (MHC) data set for association with type 1 diabetes (T1D) independent of the HLA-DRB1, -DQA1 and -DQB1 genes. METHODS The data set was edited to contain only one affected child per family, and broad ethnic subgroups were defined. Genotypes for HLA-DRB1, -DQA1 and -DQB1 were replaced by a haplotype code spanning all three loci, with phase inferred based on common haplotypes. The final data set contained 8190 samples in 2301 families, 59 microsatellites and the DRB1-DQA1-DQB1 haplotype code. Statistical analyses consisted of conditional logistic regression and haplotype estimations and linkage disequilibrium calculations. RESULTS The data set was screened using a main effects test approach adjusted for DRB1-DQA1-DQB1, and significant results tested for validity. After these procedures, four markers remained significant at the Bonferroni-corrected threshold: D6S2773 (p = 0.00014), DG6S185 (p = 0.00015), DG6S398 (p = 0.00043) and D6S2998 (p = 0.00015). These results were supported by allelic tests conditioned on DRB1-DQA1-DQB1 haplotypes, except for DG6S185, which may contain artefacts. CONCLUSIONS We have identified three microsatellites that mark additional risk factors for T1D at highly significant levels in the MHC. Further analyses are needed to establish the relationship with other possible genetic determinants in this region.
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Affiliation(s)
- M C Eike
- Institute of Immunology, Rikshospitalet University Hospital, Oslo, Norway.
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23
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Glaser SL, Gulley ML, Clarke CA, Keegan TH, Chang ET, Shema SJ, Craig FE, Digiuseppe JA, Dorfman RF, Mann RB, Anton-Culver H, Ambinder RF. Racial/ethnic variation in EBV-positive classical Hodgkin lymphoma in California populations. Int J Cancer 2008; 123:1499-507. [PMID: 18646185 DOI: 10.1002/ijc.23741] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Epstein-Barr virus (EBV) is detected in the tumor cells of some but not all Hodgkin lymphoma (HL) patients, and evidence indicates that EBV-positive and -negative HL are distinct entities. Racial/ethnic variation in EBV-positive HL in international comparisons suggests etiologic roles for environmental and genetic factors, but these studies used clinical series and evaluated EBV presence by differing protocols. Therefore, we evaluated EBV presence in the tumors of a large (n = 1,032), racially and sociodemographically diverse series of California incident classical HL cases with uniform pathology re-review and EBV detection methods. Tumor EBV-positivity was associated with Hispanic and Asian/Pacific Islander (API) but not black race/ethnicity, irrespective of demographic and clinical factors. Complex race-specific associations were observed between EBV-positive HL and age, sex, histology, stage, neighborhood socioeconomic status (SES), and birth place. In Hispanics, EBV-positive HL was associated not only with young and older age, male sex, and mixed cellularity histology, but also with foreign birth and lower SES in females, suggesting immune function responses to correlates of early childhood experience and later environmental exposures, respectively, as well as of pregnancy. For APIs, a lack of association with birth place may reflect the higher SES of API than Hispanic immigrants. In blacks, EBV-positive HL was associated with later-stage disease, consistent with racial/ethnic variation in certain cytokine polymorphisms. The racial/ethnic variation in our findings suggests that EBV-positive HL results from an intricate interplay of early- and later-life environmental, hormonal, and genetic factors leading to depressed immune function and poorly controlled EBV infection.
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Affiliation(s)
- Sally L Glaser
- Northern California Cancer Center, Fremont, CA 94538, USA.
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24
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Deviations from Hardy-Weinberg proportions for multiple alleles under viability selection. Genet Res (Camb) 2008; 90:209-16. [PMID: 18426624 DOI: 10.1017/s0016672307009068] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Departures of genotype frequencies from Hardy-Weinberg proportions (HWP) for a single autosomal locus due to viability selection in a random mating population have been studied only for the two-allele case. In this article, the analysis of deviations from HWP due to constant viability selection is extended to multiple alleles. The deviations for an autosomal locus with k alleles are measured by means of k fii fixation indices for homozygotes and k(k-1)/2 fij fixation indices for heterozygotes, and expressions are obtained for these indices (FIS statistics) under the multiallele viability model. Furthermore, expressions for fii and fij when the multiallele polymorphism is at stable equilibrium are also derived and it is demonstrated that the pattern of multiallele Hardy-Weinberg deviations at equilibrium is characterized by a global heterozygote excess and a deficiency of each of the homozygotes. This pattern may be useful for detecting whether a given multiallelic polymorphism is at stable equilibrium in the population due to viability selection. An analysis of Hardy-Weinberg deviations from published data for the three-allele polymorphism at the beta-globin locus in human populations from West Africa is presented for illustration.
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Abstract
BACKGROUND HLA DRB1*03-DRB1*04 combines both susceptibility factors for type-1 autoimmune hepatitis. AIMS Determine whether this phenotype is a risk factor for autoimmune hepatitis in white North American patients, assess its associations with clinical features and treatment outcome, and determine whether alleles within this phenotype affect prognosis. METHODS One hundred and ninety-eight patients with type 1 autoimmune hepatitis and 102 normal adults were evaluated. HLA typing was performed by DNA-based techniques. RESULTS Twenty-eight patients had HLA DRB1*03-DRB1*04, and the frequency was higher than in normal subjects (14% vs 4%, OR 4.0%, 95% CI 1.4-11.8, P = 0.01). Patients with DRB1*03-DRB1*04 relapsed less frequently than patients with DRB1*03 (1.3 +/- 0.3 vs 2.1 +/- 0.2, P = 0.04), but they otherwise had outcomes similar to patients with other phenotypes. Patients with DRB1*03-DRB1*04 who had 3-4 alleles encoding lysine at position DRbeta71 within the class II molecule of the major histocompatibility complex developed cirrhosis more commonly (75% vs 9%, P = 0.05) and had a higher frequency of hepatic-related death or liver transplantation (40% vs 0%, P = 0.04) than patients with fewer alleles. CONCLUSIONS HLA DRB1*03-DRB1*04 is a risk factor for type-1 autoimmune hepatitis, and its impact on outcome relates to the diversity of DRB1*04 alleles that encode a critical motif.
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Affiliation(s)
- Aldo J Montano-Loza
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine, Rochester, MN, USA
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26
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García-Ortiz JE, Sandoval-Ramírez L, Rangel-Villalobos H, Maldonado-Torres H, Cox S, García-Sepúlveda CA, Figuera LE, Marsh SGE, Little AM, Madrigal JA, Moscoso J, Arnaiz-Villena A, Argüello JR. High-resolution molecular characterization of the HLA class I and class II in the Tarahumara Amerindian population. ACTA ACUST UNITED AC 2006; 68:135-46. [PMID: 16866883 DOI: 10.1111/j.1399-0039.2006.00636.x] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We describe for the first time the high-resolution profiling of HLA-A, -B, -C, -DRB1, -DQB1 and -DPB1 in a culturally and geographically distinct Mexican ethnic group, the Tarahumaras. The alleles most frequently found by reference strand-mediated conformational analysis in this population were for class I: HLA-A*240201, *020101/09, *0206, *310102, *680102; HLA-B*4002, *1501, *510201, *3501/02/03, *4005, *4801; HLA-Cw*0304, *0801, *0102, *040101; and for class II: HLA-DRB1*080201, *1402, *040701; HLA-DQB1*0402, *0301, *0302/07; HLA-DPB1*0402, *0401, *020102. In addition, a novel allele, HLA-A*0257, was found. Based on comparison of presently known HLA-DRB1 and -DQB1 allele frequencies in Amerindian groups and worldwide populations, the Tarahumaras are unexpectedly more related to the geographically and linguistically distant Aymara and Terena Amerindian groups than they are to neighbouring tribes.
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Affiliation(s)
- J E García-Ortiz
- Departamento de Inmunobiología Molecular, Centro de Investigación Biomédica, Facultad de Medicina, Universidad Autónoma de Coahuila, 27000 Torreón, México
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Chen JJ, Duan T, Single R, Mather K, Thomson G. Hardy-Weinberg testing of a single homozygous genotype. Genetics 2005; 170:1439-42. [PMID: 15911570 PMCID: PMC1451168 DOI: 10.1534/genetics.105.043190] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
No proper statistical test is available for the evaluation of deviation of a single homozygous genotype from Hardy-Weinberg equilibrium (HWE) proportion. We propose a 1-d.f. chi2-test. The power of the proposed test is favorable compared to existing HWE testing procedures. The applications of this test are discussed.
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Affiliation(s)
- John J Chen
- Department of Preventive Medicine, State University of New York, Stony Brook, New York 11794, USA.
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Shankarkumar U, Sridharan B. HLA DRB1* and DQB1* allelic diversity among nadars: A primitive South Indian Dravidian caste group. Hum Immunol 2004; 65:847-54. [PMID: 15336786 DOI: 10.1016/j.humimm.2004.05.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2004] [Revised: 05/08/2004] [Accepted: 05/19/2004] [Indexed: 11/30/2022]
Abstract
South India is one of the oldest geophysical regions occupied mainly by Dravidian language-speaking people. In the present study, 84 unrelated healthy Nadar individuals from Tamil Nadu State were analyzed for human leukocyte antigen (HLA) DRB1* and DQB1* allele frequencies and their haplotype frequencies were analyzed by high resolution polymerase chain reaction (PCR)-typing of genomic DNA. Results revealed that Nadars possessed >0.1 allele frequencies of HLA DRB1*15011, 03, 04, 1404, 0701, 1001, and DQB1*0201, 03, 0501, and 0503. The highest frequencies of DRB1*0317 (0.048), DRB1*1317 (0.012), and DRB1*1404 (0.107) in the world were found among the Nadar caste. The most frequent two-locus haplotypes identified among the Nadars were DRB1*0701-DQB1*0201 and DRB1*1000-DQB1*0501, and DRB1*1404-DQB1*0503 and DRB1*15011-DQB1*0601. When compared with world populations, HLA DRB1*1322, DRB1*1434, and DQB1*0614 were identified exclusively among Nadars. The heterozygosity and Watterson's homozygosity tests indicated that balancing selection still operates among the South Indian caste groups. The hierarchical cluster analysis for DRB1 data from the Indian caste and population groups showed that the Nadars cluster with Kashmir Brahmins and North Indians. The present study shows that the Nadar caste has several unique alleles and haplotypes at high frequency that are rare or absent in other populations of India and the world.
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Affiliation(s)
- Umapathy Shankarkumar
- HLA Department, Institute of Immunohaematology (ICMR), K.E.M. Hospital, Parel, Mumbai, India.
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Abstract
In the 1960s, when population geneticists first began to collect data on the amount of genetic variation in natural populations, balancing selection was invoked as a possible explanation for how such high levels of molecular variation are maintained. However, the predictions of the neutral theory of molecular evolution have since become the standard by which cases of balancing selection may be inferred. Here we review the evidence for balancing selection acting on the major histocompatibility complex (MHC) of vertebrates, a genetic system that defies many of the predictions of neutrality. We apply many widely used tests of neutrality to MHC data as a benchmark for assessing the power of these tests. These tests can be categorized as detecting selection in the current generation, over the history of populations, or over the histories of species. We find that selection is not detectable in MHC datasets in every generation, population, or every evolutionary lineage. This suggests either that selection on the MHC is heterogeneous or that many of the current neutrality tests lack sufficient power to detect the selection consistently. Additionally, we identify a potential inference problem associated with several tests of neutrality. We demonstrate that the signals of selection may be generated in a relatively short period of microevolutionary time, yet these signals may take exceptionally long periods of time to be erased in the absence of selection. This is especially true for the neutrality test based on the ratio of nonsynonymous to synonymous substitutions. Inference of the nature of the selection events that create such signals should be approached with caution. However, a combination of tests on different time scales may overcome such problems.
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Affiliation(s)
- Daniel Garrigan
- Department of Biology, Arizona State University, Tempe, Arizona 85287-1501, USA.
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Shanmugalakshmi S, Balakrishnan K, Manoharan K, Pitchappan RM. HLA-DRB1*, -DQB1* in Piramalai Kallars and Yadhavas, two Dravidian-speaking castes of Tamil Nadu, South India. TISSUE ANTIGENS 2003; 61:451-64. [PMID: 12823769 DOI: 10.1034/j.1399-0039.2003.00061.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Two Dravidian-speaking castes of Tamil Nadu, Piramalai Kallars (PKs, n = 205) and Yadhavas (YDs, n = 239) and a random panel (84) were studied for HLA-DRB1* and -DQB1* polymorphisms by DNA-SSOP typing methods. XI and XII International Histocompatibility primers and non-radioactive-labelled oligo probes were employed to identify the alleles. Results revealed that PKs possessed >0.1 allele frequencies of HLA-DRB1*15011, 0301, -DQB1*0201, 0501 and 0601; YDs, HLA-DRB1*0301, 0401, 07 and -DQB1*0601; and the random panel, DRB1*15021, 0401, 07, -DQB1 0201, 0301, 0302 and 0501. The highest frequency of DRB1*1501 in the world (GF = 0.225) was found in PKs. The most frequent two-locus haplotype (>500/10,000) in all the study samples was DRB1*10-DQB1*0501, while 1501-0601 was frequent in PKs and YDs. Comparison of the HLA-DRB1* data with Eastern European and South-East Asian populations suggested migration as the prime cause of the observed diversity in DRB1* allele frequencies. Nonetheless, the heterozygocity test and Watterson's homozygosity test indicated that balancing selection still operates on HLA-DRB1* locus, in this endemic region of various infectious diseases. This and spatial autocorrelation analysis support the view that selection may be a cause of "generating" new variants and allelic diversity in different ancient settlements. The study suggested that South Indian, inbred, endogamous, sympatrically isolated castes or similar well-defined breeding isolates around the world, living under the same milieu-epidemiology, may be ideal models to test the immunogenetic basis of disease susceptibility.
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Affiliation(s)
- S Shanmugalakshmi
- Department of Immunology, Centre for Advanced Studies in Functional Genomics, School of Biological Sciences, Madurai Kamaraj University, Madurai 625 001, India
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31
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Garrigan D, Hedrick PW. PERSPECTIVE: DETECTING ADAPTIVE MOLECULAR POLYMORPHISM: LESSONS FROM THE MHC. Evolution 2003. [DOI: 10.1554/02-732] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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32
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Leffell MS, Fallin MD, Erlich HA, Fernandez-Vĩna M, Hildebrand WH, Mack SJ, Zachary AA. HLA antigens, alleles and haplotypes among the Yup'ik Alaska natives: report of the ASHI Minority Workshops, Part II. Hum Immunol 2002; 63:614-25. [PMID: 12072196 DOI: 10.1016/s0198-8859(02)00415-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
As part of the American Society for Histocompatibility and Immunogenetics coordinated studies among minority populations, human leukocyte antigen (HLA) alleles were defined for 460 volunteer Yup'ik Eskimos from the Yukon Kuskokwim delta region of southwestern Alaska. The study group included 252 adults with no other first-degree relatives and 48 informative nuclear families. Full Yupik ancestry through both maternal and paternal grandparents was claimed by 81.1% of participants. HLA-A, -B, -Cw, -DRB1, and -DQB1 alleles were determined by SBT, SSOP, reverse SSOP, and/or RSCA according to the protocols of five participating laboratories. Polymorphism was limited with 3-6 alleles comprising > 80% of the alleles observed at each locus. Homozygosity was high, particularly at the HLA-A and -DQB1 loci, with 36.6% and 44% of individuals having a single allele defined at these respective loci. HLA-A, -B, and -DRB1 alleles were in Hardy-Weinberg equilibrium, whereas HLA-Cw and -DQB1 alleles gave significant deviation (p = 0.002; 0.005). Significant linkage disequilibrium (p < or = 0.00001) was observed in all pairwise evaluations. A new Cw*0806 allele was observed in high linkage disequilibrium with B*4801(Delta = 0.099; Delta(rel) = 1.0). Three extended haplotypes were found to have frequencies > 5%, the most prevalent being A*2402; B*4801; DRB1*0401; DQB1*0301 (0.0933). Comparison of available class I data indicate that the Yup'ik share several common alleles with other Native American populations, including: A*2402, *0206, *6801; B*1501, *2705, *3501, *4002, *4801, *5101; and Cw*0202, *0304, *0401. Comparisons of class II data also confirm a close relationship of the Yup'ik to two other Eskimo populations, Siberian and East Greenland Eskimos. DRB1*0401 and *1101, which occur in high frequency among these Eskimo populations, but not in other Native Americans, were also prevalent among the Yup'ik, with respective frequencies of 0.232 and 0.107.
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Affiliation(s)
- Mary S Leffell
- Department of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
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33
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Abstract
A review was made in relation to the molecular variability present in North, Central, and South American Indian populations. It involved results from ancient DNA, mitochondrial DNA in extant populations, HLA and other autosomal markers, X and Y chromosome variation, as well as data from parasitic viruses which could show coevolutionary changes. The questions considered were their origin, ways in which the early colonization of the continent took place, types and levels of the variability which developed, peculiarities of the Amerindian evolutionary processes, and eventual genetic heterogeneity which evolved in different geographical areas. Although much information is already available, it is highly heterogeneous in relation to populations and types of genetic systems investigated. Unfortunately, the present trend of favoring essentially applied research suggest that the situation will not basically improve in the future.
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Affiliation(s)
- Francisco M Salzano
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS.
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