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Mallis P, Siorenta A, Stamathioudaki E, Vrani V, Paterakis G. Frequency distribution of HLA class I and II alleles in Greek population and their significance in orchestrating the National Donor Registry Program. Int J Immunogenet 2024; 51:164-172. [PMID: 38459565 DOI: 10.1111/iji.12663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/14/2024] [Accepted: 02/22/2024] [Indexed: 03/10/2024]
Abstract
Human leukocyte antigens (HLA) represent one of the most polymorphic systems in humans, responsible for the identification of foreign antigens and the presentation of immune responses. Therefore, HLA is considered to play a major role in human disorders, donor-recipient matching and transplantation outcomes. This study aimed to determine the HLA class I and II alleles and haplotypes in the Greek population. Moreover, a comparative analysis of HLA alleles and haplotype frequencies found in Greek and pooled European populations was also performed to acquire a better knowledge about the HLA alleles distribution. A total number of 1896 healthy individuals were typed for their HLA alleles in the National Tissue Typing Center of Greece. High-resolution HLA typing for the HLA-A, -B, -C and -DR, -DQ, -DP with the use of the next-generation sequencing analysis was performed, followed by data analysis for establishing the HLA allele and haplotype differences. The results of this study showed that the most frequent alleles for the HLA-A were the A*02:01:01 (27.1%), *24:02:01 (14.4%), *01:01:01 (9.3%), for the HLA-B were the B*51:01:01 (15.3%), *18:01:01 (9.7%), *35:01:01 (6.8%) and for the HLA-C were the C*04:01:01 (15.4%), *07:01:01 (13.1%), *12:03:01 (9.6%). For the HLA class II, the most frequent alleles for the HLA-DRB1 were the DRB1*11:04:01 (16.4%), *16:01:01 (11.3%), *11:01:01 (9.5%), for the HLA-DQB1 were the DQB1*03:01:01 (30.5%), *05:02:01 (15.1%), *05:01:01 (10.6%) and for the HLA-DPB1 were the DPB1*04:01:01 (34.8%), *02:01:01 (11.6%), *04:02:01 (7.3%). Additionally, the most frequent haplotypes were the A*02:01:01∼C*07:01:01-B*18:01:01∼DRB1*11:04:01 (2.3%), followed by the A*01:01:01∼C*07:01:01∼B*08:01:01∼DRB1*03:01:01 (2.2%), A*24:02:01∼C*04:01:01∼B*35:02:01∼DRB1*11:04:01 (1.4%) and A*02:01:01∼C*04:01:01∼B*35:01:01-DRB1*14:01:01 (1.2%). The results herein were comparable to those obtained from the pooled European populations. Moreover, these results can be used for the improvement of the donor-recipient matching procedure and to understand better the disease association in Greece.
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Affiliation(s)
- Panagiotis Mallis
- Immunology Department & National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - Alexandra Siorenta
- Immunology Department & National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - Erasmia Stamathioudaki
- Immunology Department & National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - Vasiliki Vrani
- Immunology Department & National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
| | - George Paterakis
- Immunology Department & National Tissue Typing Center, General Hospital of Athens "G. Gennimatas", Athens, Greece
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Shiina T, Kulski JK. HLA Genetics for the Human Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1444:237-258. [PMID: 38467984 DOI: 10.1007/978-981-99-9781-7_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
Highly polymorphic human leukocyte antigen (HLA) molecules (alleles) expressed by different classical HLA class I and class II genes have crucial roles in the regulation of innate and adaptive immune responses, transplant rejection and in the pathogenesis of numerous infectious and autoimmune diseases. To date, over 35,000 HLA alleles have been published from the IPD-IMGT/HLA database, and specific HLA alleles and HLA haplotypes have been reported to be associated with more than 100 different diseases and phenotypes. Next generation sequencing (NGS) technology developed in recent years has provided breakthroughs in various HLA genomic/gene studies and transplant medicine. In this chapter, we review the current information on the HLA genomic structure and polymorphisms, as well as the genetic context in which numerous disease associations have been identified in this region.
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Affiliation(s)
| | - Jerzy K Kulski
- Tokai University School of Medicine, Isehara, Japan
- School of Biomedical Sciences, The University of Western Australia, Nedlands, Western Australia, Australia
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Ansari MA, Chauhan W, Shoaib S, Alyahya SA, Ali M, Ashraf H, Alomary MN, Al-Suhaimi EA. Emerging therapeutic options in the management of diabetes: recent trends, challenges and future directions. Int J Obes (Lond) 2023; 47:1179-1199. [PMID: 37696926 DOI: 10.1038/s41366-023-01369-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 07/04/2023] [Accepted: 08/17/2023] [Indexed: 09/13/2023]
Abstract
Diabetes is a serious health issue that causes a progressive dysregulation of carbohydrate metabolism due to insufficient insulin hormone, leading to consistently high blood glucose levels. According to the epidemiological data, the prevalence of diabetes has been increasing globally, affecting millions of individuals. It is a long-term condition that increases the risk of various diseases caused by damage to small and large blood vessels. There are two main subtypes of diabetes: type 1 and type 2, with type 2 being the most prevalent. Genetic and molecular studies have identified several genetic variants and metabolic pathways that contribute to the development and progression of diabetes. Current treatments include gene therapy, stem cell therapy, statin therapy, and other drugs. Moreover, recent advancements in therapeutics have also focused on developing novel drugs targeting these pathways, including incretin mimetics, SGLT2 inhibitors, and GLP-1 receptor agonists, which have shown promising results in improving glycemic control and reducing the risk of complications. However, these treatments are often expensive, inaccessible to patients in underdeveloped countries, and can have severe side effects. Peptides, such as glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1), are being explored as a potential therapy for diabetes. These peptides are postprandial glucose-dependent pancreatic beta-cell insulin secretagogues and have received much attention as a possible treatment option. Despite these advances, diabetes remains a major health challenge, and further research is needed to develop effective treatments and prevent its complications. This review covers various aspects of diabetes, including epidemiology, genetic and molecular basis, and recent advancements in therapeutics including herbal and synthetic peptides.
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Affiliation(s)
- Mohammad Azam Ansari
- Department of Epidemic Disease Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia.
| | - Waseem Chauhan
- Department of Hematology, Duke University, Durham, NC, 27710, USA
| | - Shoaib Shoaib
- Department of Biochemistry, Faculty of Medicine, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
| | - Sami A Alyahya
- Wellness and Preventive Medicine Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia
| | - Mubashshir Ali
- USF Health Byrd Alzheimer's Center and Neuroscience Institute, Department of Molecular Medicine, Tampa, FL, USA
| | - Hamid Ashraf
- Rajiv Gandhi Center for Diabetes and Endocrinology, Faculty of Medicine, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
| | - Mohammad N Alomary
- Advanced Diagnostic and Therapeutic Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia.
| | - Ebtesam A Al-Suhaimi
- King Abdulaziz & his Companions Foundation for Giftedness & Creativity, Riyadh, Saudi Arabia.
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Zhang T, Li Y, Yuan X, Bao X, Chen L, Jiang X, He J. Establishment of NGS-based HLA 9-locus haplotypes in the Eastern Han Chinese population highlights the role of HLA-DP in donor selection for transplantation. HLA 2022; 100:582-596. [PMID: 36054323 DOI: 10.1111/tan.14798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/13/2022] [Accepted: 08/31/2022] [Indexed: 11/29/2022]
Abstract
We collected human leukocyte antigen (HLA) typing data from 653 families in the Eastern Han Chinese population. HLA-A, B, C, DRB1, DRB3, DRB4, DRB5, DQA1, DQB1, DPA1, and DPB1 (HLA-11 loci) typing of 1,781 subjects was performed using a commercial next-generation sequencing (NGS) method in our laboratory. The phasing of haplotypes in each family was determined by Mendelian segregation. Haplotype analysis revealed 1,634 different haplotypes among a total of 2,230 haplotypes. The predominant haplotype was A*30:01-C*06:02-B*13:02-DRB1*07:01-DRB4*01:03-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01 (HF = 4.04%), followed by A*02:07-C*01:02-B*46:01-DRB1*09:01-DRB4*01:03-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 (HF = 1.84%) and A*33:03-C*03:02-B*58:01-DRB1*03:01-DRB3*02:02-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01 (HF = 1.48%), accounting for 7.35% of the total. Meanwhile 76.41% of all haplotypes were observed only once or twice (HF < 0.1%). Different from HLA-DRB3/4/5 and DQA1 loci, DP linkage markedly increased haplotype variation by 34.82% based on the 5-locus haplotype. The much weaker linkage disequilibrium (LD) of DQB1-DPB1 indicated the reason. We observed 10 analyzable recombination events, most of which occurred at DP loci. Even with the same common 5-locus haplotype, HLA-DP linkage alters the haplotype diversity and frequency. Analysis of related haplotype assignment and unrelated recipient-donor pairs matching at the 9-locus haplotype revealed that HLA-DP affects the donor selection strategy. Haplotype study of a large sample size using NGS identified linkage haplotypes beyond the 5 loci. LD, recombination events, and haplotype variation caused by DP loci emphasized that HLA 9-locus haplotype matching should be considered in donor selection, particularly the effect of DP loci. The finding lays the foundation for further studies on the effect of HLA-DP mismatch on transplantation. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Tengteng Zhang
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yang Li
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Xiaoni Yuan
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Xiaojing Bao
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Luyao Chen
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Xue Jiang
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Jun He
- Department of HLA Laboratory, Jiangsu Institute of Hematology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou, Jiangsu, China
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Tshabalala M, Mellet J, Vather K, Nelson D, Mohamed F, Christoffels A, Pepper MS. High Resolution HLA ∼A, ∼B, ∼C, ∼DRB1, ∼DQA1, and ∼DQB1 Diversity in South African Populations. Front Genet 2022; 13:711944. [PMID: 35309124 PMCID: PMC8931603 DOI: 10.3389/fgene.2022.711944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 01/17/2022] [Indexed: 01/10/2023] Open
Abstract
Background: Lack of HLA data in southern African populations hampers disease association studies and our understanding of genetic diversity in these populations. We aimed to determine HLA diversity in South African populations using high resolution HLA ∼A, ∼B, ∼C, ∼DRB1, ∼DQA1 and ∼DQB1 data, from 3005 previously typed individuals. Methods: We determined allele and haplotype frequencies, deviations from Hardy-Weinberg equilibrium (HWE), linkage disequilibrium (LD) and neutrality test. South African HLA class I data was additionally compared to other global populations using non-metrical multidimensional scaling (NMDS), genetic distances and principal component analysis (PCA). Results: All loci strongly (p < 0.0001) deviated from HWE, coupled with excessive heterozygosity in most loci. Two of the three most frequent alleles, HLA ∼DQA1*05:02 (0.2584) and HLA ∼C*17:01 (0.1488) were previously reported in South African populations at lower frequencies. NMDS showed genetic distinctness of South African populations. Phylogenetic analysis and PCA clustered our current dataset with previous South African studies. Additionally, South Africans seem to be related to other sub-Saharan populations using HLA class I allele frequencies. Discussion and Conclusion: Despite the retrospective nature of the study, data missingness, the imbalance of sample sizes for each locus and haplotype pairs, and induced methodological difficulties, this study provides a unique and large HLA dataset of South Africans, which might be a useful resource to support anthropological studies, disease association studies, population based vaccine development and donor recruitment programs. We additionally provide simulated high resolution HLA class I data to augment the mixed resolution typing results generated from this study.
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Affiliation(s)
- Mqondisi Tshabalala
- Department of Immunology, Institute for Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- South African Medical Research Council (SAMRC) Extramural Unit for Stem Cell Research and Therapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Juanita Mellet
- Department of Immunology, Institute for Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- South African Medical Research Council (SAMRC) Extramural Unit for Stem Cell Research and Therapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Kuben Vather
- South African National Blood Service (SANBS), Roodepoort, South Africa
| | - Derrick Nelson
- South African National Blood Service (SANBS), Roodepoort, South Africa
| | - Fathima Mohamed
- South African National Blood Service (SANBS), Roodepoort, South Africa
| | - Alan Christoffels
- SAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa
| | - Michael S. Pepper
- Department of Immunology, Institute for Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- South African Medical Research Council (SAMRC) Extramural Unit for Stem Cell Research and Therapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- *Correspondence: Michael S. Pepper,
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Analysis of HLA gene polymorphisms in East Africans reveals evidence of gene flow in two Semitic populations from Sudan. Eur J Hum Genet 2021; 29:1259-1271. [PMID: 33753913 PMCID: PMC8384866 DOI: 10.1038/s41431-021-00845-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 11/28/2020] [Accepted: 02/25/2021] [Indexed: 02/02/2023] Open
Abstract
Sudan, a northeastern African country, is characterized by high levels of cultural, linguistic, and genetic diversity, which is believed to be affected by continuous migration from neighboring countries. Consistent with such demographic effect, genome-wide SNP data revealed a shared ancestral component among Sudanese Afro-Asiatic speaking groups and non-African populations, mainly from West Asia. Although this component is shared among all Afro-Asiatic speaking groups, the extent of this sharing in Semitic groups, such as Sudanese Arab, is still unknown. Using genotypes of six polymorphic human leukocyte antigen (HLA) genes (i.e., HLA-A, -C, -B, -DRB1, -DQB1, and -DPB1), we examined the genetic structure of eight East African ethnic groups with origins in Sudan, South Sudan, and Ethiopia. We identified informative HLA alleles using principal component analysis, which revealed that the two Semitic groups (Gaalien and Shokrya) constituted a distinct cluster from the other Afro-Asiatic speaking groups in this study. The HLA alleles that distinguished Semitic Arabs co-exist in the same extended HLA haplotype, and those alleles are in strong linkage disequilibrium. Interestingly, we find the four-locus haplotype "C*12:02-B*52:01-DRB1*15:02-DQB1*06:01" exclusively in non-African populations and it is widely spread across Asia. The identification of this haplotype suggests a gene flow from Asia, and likely these haplotypes were brought to Africa through back migration from the Near East. These findings will be of interest to biomedical and anthropological studies that examine the demographic history of northeast Africa.
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Sarri CA, Giannoulis T, Moutou KA, Mamuris Z. HLA class II peptide-binding-region analysis reveals funneling of polymorphism in action. Immunol Lett 2021; 238:75-95. [PMID: 34329645 DOI: 10.1016/j.imlet.2021.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 07/05/2021] [Accepted: 07/17/2021] [Indexed: 01/24/2023]
Abstract
BACKGROUND HLA-class II proteins hold important roles in key physiological processes. The purpose of this study was to compile all class II alleles reported in human population and investigate patterns in pocket variants and their combinations, focusing on the peptide-binding region (PBR). METHODS For this purpose, all protein sequences of DPA1, DQA1, DPB1, DQB1 and DRB1 were selected and filtered, in order to have full PBR sequences. Proportional representation was used for pocket variants while population data were also used. RESULTS All pocket variants and PBR sequences were retrieved and analyzed based on the preference of amino acids and their properties in all pocket positions. The observed number of pocket variants combinations was much lower than the possible inferred, suggesting that PBR formation is under strict funneling. Also, although class II proteins are very polymorphic, in the majority of the reported alleles in all populations, a significantly less polymorphic pocket core was found. CONCLUSIONS Pocket variability of five HLA class II proteins was studied revealing favorable properties of each protein. The actual PBR sequences of HLA class II proteins appear to be governed by restrictions that lead to the establishment of only a fraction of the possible combinations and the polymorphism recorded is the result of intense funneling based on function.
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Affiliation(s)
- Constantina A Sarri
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece
| | - Themistoklis Giannoulis
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece; Department of Animal Science, University of Thessaly, Trikallon 224, 43100 Karditsa, Greece
| | - Katerina A Moutou
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece
| | - Zissis Mamuris
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece.
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Cun Y, Shi L, Kulski JK, Liu S, Yang J, Tao Y, Zhang X, Shi L, Yao Y. Haplotypic Associations and Differentiation of MHC Class II Polymorphic Alu Insertions at Five Loci With HLA-DRB1 Alleles in 12 Minority Ethnic Populations in China. Front Genet 2021; 12:636236. [PMID: 34305999 PMCID: PMC8292818 DOI: 10.3389/fgene.2021.636236] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 06/08/2021] [Indexed: 01/11/2023] Open
Abstract
The analysis of polymorphic variations in the human major histocompatibility complex (MHC) class II genomic region on the short-arm of chromosome 6 is a scientific enquiry to better understand the diversity in population structure and the effects of evolutionary processes such as recombination, mutation, genetic drift, demographic history, and natural selection. In order to investigate associations between the polymorphisms of HLA-DRB1 gene and recent Alu insertions (POALINs) in the HLA class II region, we genotyped HLA-DRB1 and five Alu loci (AluDPB2, AluDQA2, AluDQA1, AluDRB1, AluORF10), and determined their allele frequencies and haplotypic associations in 12 minority ethnic populations in China. There were 42 different HLA-DRB1 alleles for ethnic Chinese ranging from 12 alleles in the Jinuo to 28 in the Yugur with only DRB1∗08:03, DRB1∗09:01, DRB1∗12:02, DRB1∗14:01, DRB1∗15:01, and DRB1∗15:02 present in all ethnic groups. The POALINs varied in frequency between 0.279 and 0.514 for AluDPB2, 0 and 0.127 for AluDQA2, 0.777 and 0.995 for AluDQA1, 0.1 and 0.455 for AluDRB1 and 0.084 and 0.368 for AluORF10. By comparing the data of the five-loci POALIN in 13 Chinese ethnic populations (including Han-Yunnan published data) against Japanese and Caucasian published data, marked differences were observed between the populations at the allelic or haplotypic levels. Five POALIN loci were in significant linkage disequilibrium with HLA-DRB1 in different populations and AluDQA1 had the highest percentage association with most of the HLA-DRB1 alleles, whereas the nearby AluDRB1 indel was strongly haplotypic for only DRB1∗01, DRB1∗10, DRB1∗15 and DRB1∗16. There were 30 five-locus POALIN haplotypes inferred in all populations with H5 (no Alu insertions except for AluDQA1) and H21 (only AluDPB2 and AluDQA1 insertions) as the two predominant haplotypes. Neighbor joining trees and principal component analyses of the Alu and HLA-DRB1 polymorphisms showed that genetic diversity of these genomic markers is associated strongly with the population characteristics of language family, migration and sociality. This comparative study of HLA-DRB1 alleles and multilocus, lineage POALIN frequencies of Chinese ethnic populations confirmed that POALINs whether investigated alone or together with the HLA class II alleles are informative genetic and evolutionary markers for the identification of allele and haplotype lineages and genetic variations within the same and/or different populations.
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Affiliation(s)
- Yina Cun
- Department of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Lei Shi
- Department of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Jerzy K Kulski
- Faculty of Health and Medical Sciences, University of Western Australia Medical School, Crawley, WA, Australia
| | - Shuyuan Liu
- Department of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Jia Yang
- Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Yufen Tao
- Department of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Xinwen Zhang
- Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Li Shi
- Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
| | - Yufeng Yao
- Department of Immunogenetics, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China
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Jekarl DW, Lee GD, Yoo JB, Kim JR, Yu H, Yoo J, Lim J, Kim M, Kim Y. HLA-A, -B, -C, -DRB1 allele and haplotype frequencies of the Korean population and performance characteristics of HLA typing by next-generation sequencing. HLA 2021; 97:188-197. [PMID: 33314756 DOI: 10.1111/tan.14167] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 10/06/2020] [Accepted: 12/07/2020] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Human leukocyte antigen (HLA) identification at the allelic level is important for haematopoietic stem cell transplantation (HSCT). Next-generation sequencing (NGS) resolves ambiguous alleles by determining the phase of the polymorphisms. The aim of this study was to validate the software for HLA-SBT (sequence-based typing), assess Korean allele frequency, and characterise the performance of NGS-HLA typing. METHODS From the 2009 to 2016 registry, 1293 unrelated healthy donors with a complete dataset of previously characterised HLA-A, -B, -C, and -DRB1 loci were selected and assessed for frequency, haplotype inference, and relative linkage disequilibrium. For performance characteristics of NGS-HLA, alleles included in 1293 cases and ambiguous or alleles assigned as new by SBT-HLA software, or unassigned alleles were included. A total of 91 and 41 quality control samples resulted in 1056 alleles (132 samples × 4 loci × 2 diploid) for analysis. The GenDx NGSgo kit was used for NGS-HLA typing using the Illumina MiSeq platform. RESULTS A panel of 132 samples covered 231 alleles, including 53 HLA-A, 80 HLA-B, 43 HLA-C, and 55 HLA-DRB1 by HLA-SBT typing. Comparison of SBT-HLA and NGS-HLA typing showed 99.7% (1053/1056) concordance and discrepant cases were resolved by manual evaluation. Typing by NGS resulted in 67 HLA-A, 112 HLA-B, 71 HLA-C, and 72 HLA-DRB1 alleles. A total of 132 ambiguous, 4 new, and 1 unassigned alleles by HLA-SBT were resolved by NGS-HLA typing. CONCLUSIONS NGS-HLA typing provided robust and conclusive results without ambiguities, and its implementation could support HSCT in clinical settings.
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Affiliation(s)
- Dong Wook Jekarl
- Department of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea Seoul, Republic of Korea
| | - Gun Dong Lee
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea Seoul, Republic of Korea
| | - Jae Bin Yoo
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea Seoul, Republic of Korea
| | - Jung Rok Kim
- Department of Laboratory Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Haein Yu
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea Seoul, Republic of Korea
| | - Jaeeun Yoo
- Department of Laboratory Medicine, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jihyang Lim
- Department of Laboratory Medicine, College of Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Myungshin Kim
- Department of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea Seoul, Republic of Korea.,Catholic Genetic Laboratory Center, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yonggoo Kim
- Department of Laboratory Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.,Department of Laboratory Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea Seoul, Republic of Korea.,Catholic Genetic Laboratory Center, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
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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: 38] [Impact Index Per Article: 9.5] [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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11
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Moyer AM, Dukek B, Duellman P, Schneider B, Wakefield L, Skierka JM, Avula R, Bhagwate AV, Kalari KR, Kreuter JD, Goetz MP, Boughey JC, Black JL, Gandhi MJ. Concordance between predicted HLA type using next generation sequencing data generated for non-HLA purposes and clinical HLA type. Hum Immunol 2020; 81:423-429. [PMID: 32546429 DOI: 10.1016/j.humimm.2020.06.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 05/15/2020] [Accepted: 06/03/2020] [Indexed: 12/13/2022]
Abstract
We explored the feasibility of obtaining accurate HLA type using pre-existing NGS data not generated for HLA purposes. 83 exomes and 500 targeted NGS pharmacogenomic panels were analyzed using Omixon HLA Explore, OptiType, and/or HLA-Genotyper software. Results were compared against clinical HLA genotyping. 765 (94.2%) Omixon and 769 (94.7%) HLA-Genotyper of 812 germline allele calls across class I/II loci and 402 (99.5%) of 404 OptiType class I calls were concordant to the second field (i.e. HLA-A*02:01). An additional 19 (2.3%) Omixon, 39 (4.8%) HLA-Genotyper, and 2 (0.5%) OptiType allele calls were first field concordant (i.e. HLA-A*02). Using Omixon, four alleles (0.4%) were discordant and 24 (3.0%) failed to call, while 4 alleles (0.4%) were discordant using HLA-Genotyper. Tumor exomes were also evaluated and were 85.4%, 91.6%, and 100% concordant (Omixon and HLA-Genotyper with 96 alleles tested, and Optitype with 48 class I alleles, respectively). The 15 exomes and 500 pharmacogenomic panels were 100% concordant for each pharmacogenomic allele tested. This work has broad implications spanning future clinical care (pharmacogenomics, tumor response to immunotherapy, autoimmunity, etc.) and research applications.
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Affiliation(s)
- Ann M Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Brian Dukek
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Patti Duellman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Brittany Schneider
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Laurie Wakefield
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Jennifer M Skierka
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Rajeswari Avula
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Aditya V Bhagwate
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States
| | - Krishna R Kalari
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States
| | - Justin D Kreuter
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Matthew P Goetz
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, United States
| | - Judy C Boughey
- Department of Surgery, Mayo Clinic, Rochester, MN, United States
| | - John L Black
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Manish J Gandhi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
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12
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Castro MDS, Issler HC, Gelmini GF, de Miranda BLM, Calonga-Solís V, Schmidt AH, Stein A, Bicalho MDG, Petzl-Erler ML, Augusto DG. High-resolution characterization of 12 classical and non-classical HLA loci in Southern Brazilians. HLA 2020; 93:80-88. [PMID: 30740929 DOI: 10.1111/tan.13488] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Revised: 02/05/2019] [Accepted: 02/08/2019] [Indexed: 11/28/2022]
Abstract
The human leukocyte antigen (HLA) are the most polymorphic genes in the human genome. Because of their importance for antigen recognition, HLA molecules play a central role in host defense and graft rejection upon transplantation. The aim of this study was to characterize allelic diversity of the classical HLA genes HLA-A, -B, -C, -DRA, -DRB1, -DQA1, -DQB1, -DPA1, -DPB1, and the non-classical class I genes HLA-E, -F and -G at high-resolution for a population of predominantly European ancestry from Curitiba, Brazil. Genotyping of 108 individuals was performed by next-generation sequencing on the MiSeq platform and also by Sanger sequencing. The genotype distributions of all loci were in accordance with Hardy-Weinberg equilibrium (P > 0.05) and a total of 202 HLA variants at second field resolution were observed for the 12 loci. The strongest linkage disequilibrium (r2 = 1.0, P < 10-5 ) was observed for the following pairs of alleles: HLA-B*42:01:01 ~ HLA-DRB1*03:02:01; HLA-B*14:02:01 ~ HLA-C*08:02:01; B*42:01:01 ~ HLA-C*17:01:01; HLA-DRB1*03:01:01 ~ HLA-DQB1*02:01:01 ~ DRB1*03:01:01 ~ HLA-DQB1*02:01:01; DRB1*13:01:01~ HLA-DQB1*06:03:01 and HLA-DRB1*09:01:02 ~ HLA-DQA1*03:02. This is the first study to characterize all 12 HLA genes at high resolution in a single population. On the basis of the allelic frequencies of worldwide populations and principal component analysis, we confirmed the similarity of the study population to European and other Euro-descendant populations.
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Affiliation(s)
- Mariana de Sousa Castro
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Hellen C Issler
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Geórgia F Gelmini
- Laboratório de Imunogenética e Histocompatibilidade, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Bruna L M de Miranda
- Laboratório de Imunogenética e Histocompatibilidade, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Verónica Calonga-Solís
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | | | | | - Maria da Graça Bicalho
- Laboratório de Imunogenética e Histocompatibilidade, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Maria Luiza Petzl-Erler
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Danillo G Augusto
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
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13
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Guerra SG, Hamilton-Jones S, Brown CJ, Navarrete CV, Chong W. Next generation sequencing of 11 HLA loci characterises a diverse UK cord blood bank. Hum Immunol 2020; 81:269-279. [PMID: 32305144 DOI: 10.1016/j.humimm.2020.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 04/02/2020] [Accepted: 04/02/2020] [Indexed: 12/16/2022]
Abstract
The introduction of next generation sequencing (NGS) for stem cell donor registry typing has contributed to faster identification of compatible stem cell donors. However, the successful search for a matched unrelated donor for some patient groups is still affected by their ethnicity. In this study, DNA samples from 714 National Health Service (NHS) Cord Blood Bank donors were typed for HLA-A, -B, -C, -DRB1, -DRB345, -DQA1, -DQB1, -DPA1 and -DPB1 by NGS. Analysis of the ethnic diversity showed a high level of diversity, with the cohort comprising of 62.3% European and 37.7% of either multi-ethnic or non-European donors, of which 12.3% were multi-ethnic. The HLA diversity was further confirmed using PyPop analysis, 405 distinct alleles were observed in the overall NHS-CBB cohort, of which 37 alleles are non-CWD, including A*31:14N, B*35:68:02, C*14:23 and DQA1*05:10. Furthermore, HLA-DQA1 and HLA-DPA1 analysis showed 12% and 10%, respectively, of the alleles currently submitted to IMGT, confirming further diversity of the NHS-CBB cohort. The application of 11 HLA loci resolution by NGS revealed a high level of diversity in the NHS-CBB cohort. The incorporation of this data coupled with ethnicity data could lead to improved donor selection, contributing to better clinical outcomes for patients.
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Affiliation(s)
- Sandra G Guerra
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK
| | - Siobhan Hamilton-Jones
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK
| | - Colin J Brown
- Histocompatibility & Immunogenetics Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK; Faculty of Life Sciences and Medicine, King College London, UK
| | - Cristina V Navarrete
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK; Division of Infection and Immunity, University College London, London, UK
| | - Winnie Chong
- National Histocompatibility & Immunogenetics Service Development Laboratory, National Health Service Blood and Transplant (NHSBT), Colindale, London, UK.
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14
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Tokić S, Žižkova V, Štefanić M, Glavaš-Obrovac L, Marczi S, Samardžija M, Sikorova K, Petrek M. HLA-A, -B, -C, -DRB1, -DQA1, and -DQB1 allele and haplotype frequencies defined by next generation sequencing in a population of East Croatia blood donors. Sci Rep 2020; 10:5513. [PMID: 32218484 PMCID: PMC7099076 DOI: 10.1038/s41598-020-62175-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Accepted: 03/03/2020] [Indexed: 12/14/2022] Open
Abstract
Next-generation sequencing (NGS) is increasingly used in transplantation settings, but also as a method of choice for in-depth analysis of population-specific HLA genetic architecture and its linkage to various diseases. With respect to complex ethnic admixture characteristic for East Croatian population, we aimed to investigate class-I (HLA-A, -B, -C) and class-II (HLA-DRB1, -DQA1, -DQB1) HLA diversity at the highest, 4-field resolution level in 120 healthy, unrelated, blood donor volunteers. Genomic DNA was extracted and HLA genotypes of class I and DQA1 genes were defined in full-length, -DQB1 from intron 1 to 3′ UTR, and -DRB1 from intron 1 to intron 4 (Illumina MiSeq platform, Omixon Twin algorithms, IMGT/HLA release 3.30.0_5). Linkage disequilibrium statistics, Hardy-Weinberg departures, and haplotype frequencies were inferred by exact tests and iterative Expectation-Maximization algorithm using PyPop 0.7.0 and Arlequin v3.5.2.2 software. Our data provide first description of 4-field allele and haplotype frequencies in Croatian population, revealing 192 class-I and class-II alleles and extended haplotypic combinations not apparent from the existing 2-field HLA reports from Croatia. This established reference database complements current knowledge of HLA diversity and should prove useful in future population studies, transplantation settings, and disease-associated HLA screening.
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Affiliation(s)
- Stana Tokić
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Osijek, J. Huttlera 4, HR-31000, Osijek, Croatia.
| | - Veronika Žižkova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacký University, Hnevotinska 3, 775 15, Olomouc, Czech Republic
| | - Mario Štefanić
- Department of Nuclear Medicine and Oncology, Faculty of Medicine, University of Osijek, J. Huttlera 4, HR-31000, Osijek, Croatia.
| | - Ljubica Glavaš-Obrovac
- Department of Medical Chemistry, Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Osijek, J. Huttlera 4, HR-31000, Osijek, Croatia
| | - Saška Marczi
- Department of Laboratory Diagnostics and Clinical Transfusion Medicine, Clinical Institute of Transfusion Medicine, Osijek University Hospital, J. Huttlera 4, HR-31000, Osijek, Croatia
| | - Marina Samardžija
- Department of Laboratory Diagnostics and Clinical Transfusion Medicine, Clinical Institute of Transfusion Medicine, Osijek University Hospital, J. Huttlera 4, HR-31000, Osijek, Croatia
| | - Katerina Sikorova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacký University, Hnevotinska 3, 775 15, Olomouc, Czech Republic
| | - Martin Petrek
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacký University, Hnevotinska 3, 775 15, Olomouc, Czech Republic.
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15
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Del Río-Ospina L, Camargo M, Soto-De León SC, Robayo-Calderón KL, Garzón-Ospina D, Patarroyo ME, Patarroyo MA. Using next-generation sequencing for characterising HLA-DRB1 and DQB1 loci in a cohort of Colombian women. HLA 2019; 94:425-434. [PMID: 31441245 DOI: 10.1111/tan.13672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 08/16/2019] [Accepted: 08/19/2019] [Indexed: 11/29/2022]
Abstract
The Colombian population is characterised by a high genetic diversity, secondary to the ethnic mixture arising from colonisation. Unfortunately, few reports are available regarding HLA-DRB1 and DQB1 diversity in Colombia to date. HLA-DRB1 and DQB1 diversity was identified in this study using next-generating sequencing (NGS) on a cohort of Colombian women. Cervical samples taken from 276 women were used for typing DRB1 and DQB1 loci by Illumina MiSeq. Allele and haplotype frequencies were calculated using an expectation-maximisation algorithm. Hardy-Weinberg Equilibrium and linkage disequilibrium (LD) between loci were evaluated. Forty-seven DRB1 alleles and 14 DQB1 alleles were identified. DRB1*04:07:01G and DQB1*03:02:01G alleles occurred most frequently in the target population. Significant LD was found in 44 out of the 144 identified haplotypes, within which DRB1*04:07:01G-DQB1*03:02:01G occurred most frequently (6.56%). The alleles and haplotypes found with NGS agreed with that found in previous reports involving lower resolution for the Colombian population, and greater genetic variability was found, especially concerning DRB1. Comparing allele and haplotype frequency distribution in the target population to that of other populations denoted HLA system intra- and inter-population diversity.
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Affiliation(s)
- Luisa Del Río-Ospina
- Molecular Biology and Inmunology Department, Fundación Instituto de Inmunología de Colombia, Bogotá, Colombia.,Clínical Research Group, Instituto Nacional de Cancerología E.S.E., Bogotá, Colombia
| | - Milena Camargo
- Molecular Biology and Inmunology Department, Fundación Instituto de Inmunología de Colombia, Bogotá, Colombia.,PhD Programme in Biomedical and Biological Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Sara C Soto-De León
- Molecular Biology and Inmunology Department, Fundación Instituto de Inmunología de Colombia, Bogotá, Colombia
| | - Karen L Robayo-Calderón
- Molecular Biology and Inmunology Department, Fundación Instituto de Inmunología de Colombia, Bogotá, Colombia
| | - Diego Garzón-Ospina
- Molecular Biology and Inmunology Department, Fundación Instituto de Inmunología de Colombia, Bogotá, Colombia.,PhD Programme in Biomedical and Biological Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Manuel E Patarroyo
- Molecular Biology and Inmunology Department, Fundación Instituto de Inmunología de Colombia, Bogotá, Colombia.,Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Manuel A Patarroyo
- Molecular Biology and Inmunology Department, Fundación Instituto de Inmunología de Colombia, Bogotá, Colombia.,School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
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16
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Goeury T, Creary LE, Brunet L, Galan M, Pasquier M, Kervaire B, Langaney A, Tiercy JM, Fernández-Viña MA, Nunes JM, Sanchez-Mazas A. Deciphering the fine nucleotide diversity of full HLA class I and class II genes in a well-documented population from sub-Saharan Africa. HLA 2019; 91:36-51. [PMID: 29160618 PMCID: PMC5767763 DOI: 10.1111/tan.13180] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 11/01/2017] [Accepted: 11/15/2017] [Indexed: 01/06/2023]
Abstract
With the aim to understand how next‐generation sequencing (NGS) improves both our assessment of genetic variation within populations and our knowledge on HLA molecular evolution, we sequenced and analysed 8 HLA loci in a well‐documented population from sub‐Saharan Africa (Mandenka). The results of full‐gene NGS‐MiSeq sequencing compared with those obtained by traditional typing techniques or limited sequencing strategies showed that segregating sites located outside exon 2 are crucial to describe not only class I but also class II population diversity. A comprehensive analysis of exons 2, 3, 4 and 5 nucleotide diversity at the 8 HLA loci revealed remarkable differences among these gene regions, notably a greater variation concentrated in the antigen recognition sites of class I exons 3 and some class II exons 2, likely associated with their peptide‐presentation function, a lower diversity of HLA‐C exon 3, possibly related to its role as a KIR ligand, and a peculiar molecular diversity of HLA‐A exon 2, revealing demographic signals. Based on full‐length HLA sequences, we also propose that the most frequent DRB1 allele in the studied population, DRB1*13:04, emerged from an allelic conversion involving 3 potential alleles as donors and DRB1*11:02:01 as recipient. Finally, our analysis revealed a high occurrence of the DRB1*13:04‐DQA1*05:05:01‐DQB1*03:19 haplotype, possibly resulting from a selective sweep due to protection to Onchorcerca volvulus, a prevalent pathogen in West Africa. This study unveils highly relevant information on the molecular evolution of HLA genes in relation to their immune function, calling for similar analyses in other populations living in contrasting environments.
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Affiliation(s)
- T Goeury
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland
| | - L E Creary
- Department of Pathology, Stanford University School of Medicine, Palo Alto, California
| | - L Brunet
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.,Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility (UIT/LNRH), Geneva University Hospital, Geneva, Switzerland
| | - M Galan
- INRA, UMR 1062 CBGP, avenue du Campus Agropolis, Montferrier sur Lez, France
| | - M Pasquier
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland
| | - B Kervaire
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.,Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility (UIT/LNRH), Geneva University Hospital, Geneva, Switzerland
| | - A Langaney
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland
| | - J-M Tiercy
- Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland.,Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility (UIT/LNRH), Geneva University Hospital, Geneva, Switzerland
| | - M A Fernández-Viña
- Department of Pathology, Stanford University School of Medicine, Palo Alto, California
| | - J M Nunes
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland
| | - A Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva, University of Geneva, Geneva, Switzerland
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17
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Montero-Martín G, Mallempati KC, Gangavarapu S, Sánchez-Gordo F, Herrero-Mata MJ, Balas A, Vicario JL, Sánchez-García F, González-Escribano MF, Muro M, Moya-Quiles MR, González-Fernández R, Ocejo-Vinyals JG, Marín L, Creary LE, Osoegawa K, Vayntrub T, Caro-Oleas JL, Vilches C, Planelles D, Fernández-Viña MA. High-resolution characterization of allelic and haplotypic HLA frequency distribution in a Spanish population using high-throughput next-generation sequencing. Hum Immunol 2019; 80:429-436. [PMID: 30763600 DOI: 10.1016/j.humimm.2019.02.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 02/07/2019] [Accepted: 02/09/2019] [Indexed: 12/25/2022]
Abstract
Next-generation sequencing (NGS) at the HLA-A, -B, -C, -DPA1, -DPB1, -DQA1, -DQB1, -DRB1 and -DRB3/4/5 loci was performed on 282 healthy unrelated individuals from different major regions of Spain. High-resolution HLA genotypes defined by full sequencing of class I loci and extended coverage of class II loci were obtained to determine allele frequencies and also to estimate extended haplotype frequencies. HLA alleles were typed at the highest resolution level (4-field level, 4FL); with exception of a minor deviation in HLA-DPA1, no statistically significant deviations from expected Hardy Weinberg Equilibrium (HWE) proportions were observed for all other HLA loci. This study provides new 4FL-allele and -haplotype frequencies estimated for the first time in the Spanish population. Furthermore, our results describe extended haplotypes (including the less frequently typed HLA-DPA1 and HLA-DQA1 loci) and show distinctive haplotype associations found at 4FL-allele definition in this Spanish population study. The distinctive allelic and haplotypic diversity found at the 4FL reveals the high level of heterozygosity and specific haplotypic associations displayed that were not apparent at 2-field level (2FL). Overall, these results may contribute as a useful reference source for future population studies, for HLA-disease association studies as a healthy control group dataset and for improving donor recruitment strategies of bone marrow registries. HLA genotyping data of this Spanish population cohort was also included in the 17th International Histocompatibility and Immunogenetics Workshop (IHIW) as part of the study of HLA diversity in unrelated worldwide populations using NGS.
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Affiliation(s)
| | - Kalyan C Mallempati
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Sridevi Gangavarapu
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA, USA
| | | | | | - Antonio Balas
- Histocompatibility, Centro de Transfusión de la Comunidad de Madrid, Madrid, Spain
| | - Jose L Vicario
- Histocompatibility, Centro de Transfusión de la Comunidad de Madrid, Madrid, Spain
| | | | | | - Manuel Muro
- Immunology, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Maria R Moya-Quiles
- Immunology, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | | | | | - Luis Marín
- Molecular Biology-Hematology, Hospital Clínico Universitario, Salamanca, Spain
| | - Lisa E Creary
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kazutoyo Osoegawa
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Tamara Vayntrub
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jose L Caro-Oleas
- Histocompatibility and Immunogenetics, Banc de Sang i Teixits, Barcelona, Spain
| | - Carlos Vilches
- Immunogenetics and Histocompatibility, Instituto de Investigación Sanitaria Puerta de Hierro, Madrid, Spain
| | - Dolores Planelles
- Histocompatibility, Centro de Transfusión de la Comunidad Valenciana, Valencia, Spain
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18
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Sanchez-Mazas A, Nunes JM. Does NGS typing highlight our understanding of HLA population diversity? Hum Immunol 2019; 80:62-66. [DOI: 10.1016/j.humimm.2018.10.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 10/08/2018] [Accepted: 10/09/2018] [Indexed: 01/08/2023]
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19
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Nyaga DM, Vickers MH, Jefferies C, Perry JK, O'Sullivan JM. The genetic architecture of type 1 diabetes mellitus. Mol Cell Endocrinol 2018; 477:70-80. [PMID: 29913182 DOI: 10.1016/j.mce.2018.06.002] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 05/14/2018] [Accepted: 06/06/2018] [Indexed: 02/07/2023]
Abstract
Type 1 diabetes mellitus (T1D) is a complex autoimmune disorder characterised by loss of the insulin-producing pancreatic beta cells in genetically predisposed individuals, ultimately resulting in insulin deficiency and hyperglycaemia. T1D is most common among children and young adults, and the incidence is on the rise across the world. The aetiology of T1D is hypothesized to involve genetic and environmental factors that result in the T-cell mediated destruction of pancreatic beta cells. There is a strong genetic risk to T1D; with genome-wide association studies (GWAS) identifying over 60 susceptibility regions within the human genome which are marked by single nucleotide polymorphisms (SNPs). Here, we review what is currently known about the genetics of T1D. We argue that advancing our understanding of the aetiology and pathogenesis of T1D will require the integration of genome biology (omics-data) with GWAS data, thereby making it possible to elucidate the putative gene regulatory networks modulated by disease-associated SNPs. This approach has a potential to revolutionize clinical management of T1D in an era of precision medicine.
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Affiliation(s)
- Denis M Nyaga
- The Liggins Institute, The University of Auckland, New Zealand
| | - Mark H Vickers
- The Liggins Institute, The University of Auckland, New Zealand
| | - Craig Jefferies
- The Liggins Institute, The University of Auckland, New Zealand; Starship Children's Health, Auckland, New Zealand
| | - Jo K Perry
- The Liggins Institute, The University of Auckland, New Zealand
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20
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Matey-Hernandez ML, Brunak S, Izarzugaza JMG. Benchmarking the HLA typing performance of Polysolver and Optitype in 50 Danish parental trios. BMC Bioinformatics 2018; 19:239. [PMID: 29940840 PMCID: PMC6019707 DOI: 10.1186/s12859-018-2239-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 06/12/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The adaptive immune response intrinsically depends on hypervariable human leukocyte antigen (HLA) genes. Concomitantly, correct HLA phenotyping is crucial for successful donor-patient matching in organ transplantation. The cost and technical limitations of current laboratory techniques, together with advances in next-generation sequencing (NGS) methodologies, have increased the need for precise computational typing methods. RESULTS We tested two widespread HLA typing methods using high quality full genome sequencing data from 150 individuals in 50 family trios from the Genome Denmark project. First, we computed descendant accuracies assessing the agreement in the inheritance of alleles from parents to offspring. Second, we compared the locus-specific homozygosity rates as well as the allele frequencies; and we compared those to the observed values in related populations. We provide guidelines for testing the accuracy of HLA typing methods by comparing family information, which is independent of the availability of curated alleles. CONCLUSIONS Although current computational methods for HLA typing generally provide satisfactory results, our benchmark - using data with ultra-high sequencing depth - demonstrates the incompleteness of current reference databases, and highlights the importance of providing genomic databases addressing current sequencing standards, a problem yet to be resolved before benefiting fully from personalised medicine approaches HLA phenotyping is essential.
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Affiliation(s)
- Maria Luisa Matey-Hernandez
- Center for Biological Sequence Analysis, Department of Bio and Health Informatics, Technical University of Denmark, DK-2800 Lyngby, Denmark
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK
| | - Søren Brunak
- Center for Biological Sequence Analysis, Department of Bio and Health Informatics, Technical University of Denmark, DK-2800 Lyngby, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Jose M. G. Izarzugaza
- Center for Biological Sequence Analysis, Department of Bio and Health Informatics, Technical University of Denmark, DK-2800 Lyngby, Denmark
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21
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Sanchez-Mazas A, Nunes JM, Middleton D, Sauter J, Buhler S, McCabe A, Hofmann J, Baier DM, Schmidt AH, Nicoloso G, Andreani M, Grubic Z, Tiercy JM, Fleischhauer K. Common and well-documented HLA alleles over all of Europe and within European sub-regions: A catalogue from the European Federation for Immunogenetics. HLA 2018; 89:104-113. [PMID: 28102034 DOI: 10.1111/tan.12956] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 11/30/2016] [Accepted: 12/19/2016] [Indexed: 12/22/2022]
Abstract
BACKGROUND A catalogue of common and well-documented (CWD) human leukocyte antigen (HLA), previously established by the American Society for Histocompatibility and Immunogenetics (ASHI), is widely used as indicator for typing ambiguities to be resolved in tissue transplantation or for checking the universality of any HLA allele in the world. However, European population samples, which are characterized by a substantial level of genetic variation, are underrepresented in the ASHI catalogue. Therefore, the Population Genetics Working Group of the European Federation for Immunogenetics (EFI) has facilitated data collection for an European CWD catalogue. MATERIALS AND METHODS To this end, 2nd-field HLA-A, -B, -C,- DRB1,- DQA1,- DQB1 and -DPB1 data of 77 to 121 European population samples (21 571-3 966 984 individuals) from 3 large databases, HLA-net/Gene[VA], allelefrequencies.net and DKMS, were analysed. RESULTS The total number of CWD alleles is similar in the EFI (N = 1048) and ASHI (N = 1031) catalogues, but the former counts less common (N = 236 vs 377) and more well-documented (N = 812 vs 654) alleles than the latter, possibly reflecting differences in sample numbers and sizes. Interestingly, approximately half of the CWD alleles reported by EFI were not reported by ASHI and vice-versa, underlining the distinct features of the two catalogues. Also, although 78 common alleles are widely distributed across Europe, some alleles are only common within specific sub-regions, showing regional variability. CONCLUSION Although the definition of CWD alleles itself is affected by different parameters, calling for current updates of the list, the EFI CWD catalogue provides new insights into European population genetics and will be a very useful tool for tissue-typing laboratories in and beyond Europe.
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Affiliation(s)
- A Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling history (AGP), Department of Genetics and Evolution-Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva Medical Center (CMU), Geneva, Switzerland.,Population Genetics Working Group of the European Federation for Immunogenetics (EFI), EFI Central Office, Leiden, The Netherlands
| | - J M Nunes
- Laboratory of Anthropology, Genetics and Peopling history (AGP), Department of Genetics and Evolution-Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva Medical Center (CMU), Geneva, Switzerland.,Population Genetics Working Group of the European Federation for Immunogenetics (EFI), EFI Central Office, Leiden, The Netherlands
| | - D Middleton
- Population Genetics Working Group of the European Federation for Immunogenetics (EFI), EFI Central Office, Leiden, The Netherlands.,Transplant Immunology Laboratory, Royal Liverpool and Broadgreen University Hospital, Liverpool, UK
| | - J Sauter
- DKMS, German Bone Marrow Center, Tübingen, Germany
| | - S Buhler
- Laboratory of Anthropology, Genetics and Peopling history (AGP), Department of Genetics and Evolution-Anthropology Unit, University of Geneva, Geneva, Switzerland.,Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility (UIT/LNRH), Department of Genetic and Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - A McCabe
- Institute of Integrative Biology, University of Liverpool, Liverpool, UK
| | - J Hofmann
- DKMS, German Bone Marrow Center, Tübingen, Germany
| | - D M Baier
- DKMS, German Bone Marrow Center, Tübingen, Germany
| | - A H Schmidt
- DKMS, German Bone Marrow Center, Tübingen, Germany
| | - G Nicoloso
- Swiss Transfusion Swiss Red Cross (SRC)/Swiss Blood Stem Cells, Bern, Switzerland
| | - M Andreani
- Population Genetics Working Group of the European Federation for Immunogenetics (EFI), EFI Central Office, Leiden, The Netherlands.,Laboratory of Immunogenetics and Transplant Biology, IME Foundation, Policlinic of the University of Tor Vergata, Rome, Italy
| | - Z Grubic
- Population Genetics Working Group of the European Federation for Immunogenetics (EFI), EFI Central Office, Leiden, The Netherlands.,Tissue Typing Center, University Hospital Center Zagreb, Zagreb, Croatia
| | - J-M Tiercy
- Population Genetics Working Group of the European Federation for Immunogenetics (EFI), EFI Central Office, Leiden, The Netherlands.,Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility (UIT/LNRH), Department of Genetic and Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - K Fleischhauer
- Population Genetics Working Group of the European Federation for Immunogenetics (EFI), EFI Central Office, Leiden, The Netherlands.,Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center, Heidelberg, Germany
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22
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Halagan M, Oliveira DC, Maiers M, Fabreti-Oliveira RA, Moraes MEH, Visentainer JEL, Pereira NF, Romero M, Cardoso JF, Porto LC. The distribution of HLA haplotypes in the ethnic groups that make up the Brazilian Bone Marrow Volunteer Donor Registry (REDOME). Immunogenetics 2018; 70:511-522. [DOI: 10.1007/s00251-018-1059-1] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 04/12/2018] [Indexed: 11/29/2022]
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23
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Abstract
Chronic diseases are defined diseases whose symptoms last for at least six months and tend to worsen over time. In Europe, they cause at least 86% of deaths. In this speculative unifying model I set a new hypothesis for the etiology of the majority of chronic diseases. The main aim is to put order and observe our organism in a systemic way, connecting pathologies we now see as disconnected phenomena, with the conceptual frameworks of complex systems and network medicine. Chronic diseases could be caused by a first unsolved acute infection. In case the pathogen cannot be completely eliminated, it becomes a persistent infectious. After the acute episode, some mild symptoms will occur and probably disappear; the chronic disease will remain latent over time. It will manifest even after years or decades, in the presence of another acute infection, a particular stress, trauma, or another event. The presence of the persistent infectious elicits changes in the immune and systemic regulation, and these processes degenerate over time. They will assume their rules and patterns, being independent from the initial stimulus. The key to understand the dynamics and individuality of chronic diseases is the immune system and its networks. The immune mechanisms that can lead to the persistent response are mainly the switch from the Th1 to the Th2 immunity and the molecular mimicry. The first persistent infectious will also modify the susceptibility to other pathogens, facilitating new infections and new consequent persistent infectious. From the immune point of view, our organism is divided into three compartments: the outer one, which comprehend all the surfaces in contact with the environment, the intermediate one, which comprehend the internal organs and tissues, and the innermost one, comprehending the Central Nervous System and the adluminal compartment of the seminiferous tubule. The immune key-role is played respectively by the mucosa-associated lymphoid tissue, the endothelium, the blood-brain barrier and blood-testis barrier. The chronic diseases follow a progressive scheme, involving the three compartments from the outer to the innermost one. The primer microorganism at the origin of the majority of diseases could be streptococcus, or staphylococcus. Both cause acute in children, with a great variability of responses and symptoms, and both cause molecular mimicry. This model can be tested and proved in more ways, I propose here some of them. It could pave the way to a radical change in our comprehension and therapeutic approaches to chronic diseases.
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24
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Meyer D, C Aguiar VR, Bitarello BD, C Brandt DY, Nunes K. A genomic perspective on HLA evolution. Immunogenetics 2018; 70:5-27. [PMID: 28687858 PMCID: PMC5748415 DOI: 10.1007/s00251-017-1017-3] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 06/16/2017] [Indexed: 12/20/2022]
Abstract
Several decades of research have convincingly shown that classical human leukocyte antigen (HLA) loci bear signatures of natural selection. Despite this conclusion, many questions remain regarding the type of selective regime acting on these loci, the time frame at which selection acts, and the functional connections between genetic variability and natural selection. In this review, we argue that genomic datasets, in particular those generated by next-generation sequencing (NGS) at the population scale, are transforming our understanding of HLA evolution. We show that genomewide data can be used to perform robust and powerful tests for selection, capable of identifying both positive and balancing selection at HLA genes. Importantly, these tests have shown that natural selection can be identified at both recent and ancient timescales. We discuss how findings from genomewide association studies impact the evolutionary study of HLA genes, and how genomic data can be used to survey adaptive change involving interaction at multiple loci. We discuss the methodological developments which are necessary to correctly interpret genomic analyses involving the HLA region. These developments include adapting the NGS analysis framework so as to deal with the highly polymorphic HLA data, as well as developing tools and theory to search for signatures of selection, quantify differentiation, and measure admixture within the HLA region. Finally, we show that high throughput analysis of molecular phenotypes for HLA genes-namely transcription levels-is now a feasible approach and can add another dimension to the study of genetic variation.
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Affiliation(s)
- Diogo Meyer
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil.
| | - Vitor R C Aguiar
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
| | - Bárbara D Bitarello
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Débora Y C Brandt
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Kelly Nunes
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
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25
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Holzinger ER, Li Q, Parker MM, Hetmanski JB, Marazita ML, Mangold E, Ludwig KU, Taub MA, Begum F, Murray JC, Albacha‐Hejazi H, Alqosayer K, Al‐Souki G, Albasha Hejazi A, Scott AF, Beaty TH, Bailey‐Wilson JE. Analysis of sequence data to identify potential risk variants for oral clefts in multiplex families. Mol Genet Genomic Med 2017; 5:570-579. [PMID: 28944239 PMCID: PMC5606860 DOI: 10.1002/mgg3.320] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2017] [Revised: 06/12/2017] [Accepted: 06/14/2017] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Nonsyndromic oral clefts are craniofacial malformations, which include cleft lip with or without cleft palate. The etiology for oral clefts is complex with both genetic and environmental factors contributing to risk. Previous genome-wide association (GWAS) studies have identified multiple loci with small effects; however, many causal variants remain elusive. METHODS In this study, we address this by specifically looking for rare, potentially damaging variants in family-based data. We analyzed both whole exome sequence (WES) data and whole genome sequence (WGS) data in multiplex cleft families to identify variants shared by affected individuals. RESULTS Here we present the results from these analyses. Our most interesting finding was from a single Syrian family, which showed enrichment of nonsynonymous and potentially damaging rare variants in two genes: CASP9 and FAT4. CONCLUSION Neither of these candidate genes has previously been associated with oral clefts and, if confirmed as contributing to disease risk, may indicate novel biological pathways in the genetic etiology for oral clefts.
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Affiliation(s)
- Emily R. Holzinger
- Computational and Statistical Genomics BranchNational Human Genome Research InstituteNational Institutes of HealthBaltimoreMaryland
- National Institute of General Medical SciencesNational Institutes of HealthBethesdaMaryland
| | - Qing Li
- Computational and Statistical Genomics BranchNational Human Genome Research InstituteNational Institutes of HealthBaltimoreMaryland
| | - Margaret M. Parker
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMassachusetts
- Harvard Medical SchoolCambridgeMassachusetts
| | | | - Mary L. Marazita
- Department of Oral BiologyCenter for Craniofacial and Dental GeneticsSchool of Maryland Dental MedicineUniversity of PittsburghPittsburghPennsylvania
| | | | - Kerstin U. Ludwig
- Institute of Human GeneticsUniversity of BonnBonnGermany
- Department of GenomicsLife & Brain CenterUniversity of BonnBonnGermany
| | - Margaret A. Taub
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | - Ferdouse Begum
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | | | | | | | | | | | - Alan F. Scott
- Center for Inherited Disease ResearchJohns Hopkins School of MedicineBaltimoreMaryland
- Institute of Genetic MedicineJohns Hopkins School of MedicineBaltimoreMaryland
| | - Terri H. Beaty
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | - Joan E. Bailey‐Wilson
- Computational and Statistical Genomics BranchNational Human Genome Research InstituteNational Institutes of HealthBaltimoreMaryland
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26
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Ka S, Lee S, Hong J, Cho Y, Sung J, Kim HN, Kim HL, Jung J. HLAscan: genotyping of the HLA region using next-generation sequencing data. BMC Bioinformatics 2017; 18:258. [PMID: 28499414 PMCID: PMC5427585 DOI: 10.1186/s12859-017-1671-3] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 05/03/2017] [Indexed: 12/30/2022] Open
Abstract
Background Several recent studies showed that next-generation sequencing (NGS)-based human leukocyte antigen (HLA) typing is a feasible and promising technique for variant calling of highly polymorphic regions. To date, however, no method with sufficient read depth has completely solved the allele phasing issue. In this study, we developed a new method (HLAscan) for HLA genotyping using NGS data. Results HLAscan performs alignment of reads to HLA sequences from the international ImMunoGeneTics project/human leukocyte antigen (IMGT/HLA) database. The distribution of aligned reads was used to calculate a score function to determine correctly phased alleles by progressively removing false-positive alleles. Comparative HLA typing tests using public datasets from the 1000 Genomes Project and the International HapMap Project demonstrated that HLAscan could perform HLA typing more accurately than previously reported NGS-based methods such as HLAreporter and PHLAT. In addition, the results of HLA-A, −B, and -DRB1 typing by HLAscan using data generated by NextGen were identical to those obtained using a Sanger sequencing–based method. We also applied HLAscan to a family dataset with various coverage depths generated on the Illumina HiSeq X-TEN platform. HLAscan identified allele types of HLA-A, −B, −C, −DQB1, and -DRB1 with 100% accuracy for sequences at ≥ 90× depth, and the overall accuracy was 96.9%. Conclusions HLAscan, an alignment-based program that takes read distribution into account to determine true allele types, outperformed previously developed HLA typing tools. Therefore, HLAscan can be reliably applied for determination of HLA type across the whole-genome, exome, and target sequences. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1671-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sojeong Ka
- R&D center, Syntekabio, Inc., 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, South Korea
| | - Sunho Lee
- Main office, Syntekabio, Inc., 187 Techno 2-ro, Yuseong-gu, Daejeon, 34025, South Korea
| | - Jonghee Hong
- R&D center, Syntekabio, Inc., 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, South Korea
| | - Yangrae Cho
- Main office, Syntekabio, Inc., 187 Techno 2-ro, Yuseong-gu, Daejeon, 34025, South Korea
| | - Joohon Sung
- Complex Disease and Genome Epidemiology Branch, Department of Epidemiology, School of Public Health, Seoul National University, Seoul, 08826, South Korea
| | - Han-Na Kim
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, 07985, South Korea
| | - Hyung-Lae Kim
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, 07985, South Korea.
| | - Jongsun Jung
- Main office, Syntekabio, Inc., 187 Techno 2-ro, Yuseong-gu, Daejeon, 34025, South Korea.
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27
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Sankar S, Ramamurthy M, Nandagopal B, Sridharan G. T-cell epitopes predicted from the Nucleocapsid protein of Sin Nombre virus restricted to 30 HLA alleles common to the North American population. Bioinformation 2017; 13:94-100. [PMID: 28584450 PMCID: PMC5450251 DOI: 10.6026/97320630013094] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 03/16/2017] [Indexed: 01/28/2023] Open
Abstract
Hantavirus cardiopulmonary syndrome in North America is caused by Sin Nombre virus (SNV) and poses a public health problem. We identified T-cell epitopes restricted to HLA alleles commonly seen in the N. American population. Nucleocapsid (N) protein is 428 aminoacid in length and binds to RNA and functions also as a key molecule between virus and host cell processes. The predicted epitopes from N protein that bind to class I MHC were analyzed for human proteasomes cleavage, TAP efficiency, immunogenicity and antigenicity. We identified 8 epitopes through MHC binding prediction, proteasomal cleavage prediction and TAP efficiency. Epitope VMGVIGFSF had highest Vaxijen score and the epitope, TNRAYFITR had highest immunogenicity score. Epitope AAVSALETK and TIACGLFPA had 100% homology to many HCPS causing viruses. Our study focused on T-cell epitope prediction specific to restricted HLA haplotypes of racial groups in North America for the potential vaccine development. Among the candidate epitopes, FLAARCPFL was conserved in SNV, which is suitable for vaccine specific to the virus genotype. Peptide-based vaccines can be designed to include multiple determinants from several hantavirus genotypes, or multiple epitopes from the same genotype. Thereby, immune response will focus solely on relevant epitopes, avoiding non-protective responses or immune evasion. The other advantages include absence of infectious material unlike in live or attenuated vaccines. There is no risk of reversion or formation of adverse reassortants leading to virulence and no risk of genetic integration or recombination forming a rationale for vaccine design including for distinct geographical regions.
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Affiliation(s)
- Sathish Sankar
- Sri Sakthi Amma Institute of Biomedical Research, Sri Narayani Hospital and Research Centre, Sripuram, Vellore 632 055, Tamil Nadu,India
| | - Mageshbabu Ramamurthy
- Sri Sakthi Amma Institute of Biomedical Research, Sri Narayani Hospital and Research Centre, Sripuram, Vellore 632 055, Tamil Nadu,India
| | - Balaji Nandagopal
- Sri Sakthi Amma Institute of Biomedical Research, Sri Narayani Hospital and Research Centre, Sripuram, Vellore 632 055, Tamil Nadu,India
| | - Gopalan Sridharan
- Sri Sakthi Amma Institute of Biomedical Research, Sri Narayani Hospital and Research Centre, Sripuram, Vellore 632 055, Tamil Nadu,India
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28
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Gandhi MJ, Ferriola D, Huang Y, Duke JL, Monos D. Targeted Next-Generation Sequencing for Human Leukocyte Antigen Typing in a Clinical Laboratory: Metrics of Relevance and Considerations for Its Successful Implementation. Arch Pathol Lab Med 2017; 141:806-812. [PMID: 28234015 DOI: 10.5858/arpa.2016-0537-ra] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
CONTEXT - Numerous feasibility studies to type human leukocyte antigens (HLAs) by next-generation sequencing (NGS) have led to the development of vendor-supported kits for HLA typing by NGS. Some clinical laboratories have introduced HLA-NGS, and many are investigating the introduction. Standards from accrediting agencies form the regulatory framework for introducing this test into clinical laboratories. OBJECTIVES - To provide an assessment of metrics and considerations relevant to the successful implementation of clinical HLA-NGS typing, and to provide as a reference a validated HLA-NGS protocol used clinically since December 2013 at the Children's Hospital of Philadelphia (Philadelphia, Pennsylvania). DATA SOURCES - The HLA-NGS has been performed on 2532 samples. The initial 1046 and all homozygous samples were also typed by an alternate method. The HLA-NGS demonstrated 99.7% concordance with the alternate method. Ambiguous results were most common at the DPB1 locus because of a lack of phasing between exons 2 and 3 or the unsequenced exon 1 (533 of 2954 alleles; 18.04%) and the DRB1 locus because of not sequencing exon 1 (75 of 3972 alleles; 1.89%). No ambiguities were detected among the other loci. Except for 2 false homozygous samples, all homozygous samples (1891) demonstrated concordance with the alternate method. The article is organized to address the critical elements in the preanalytic, analytic, and postanalytic phases of introducing this assay into the clinical laboratory. CONCLUSIONS - The results demonstrate that HLA typing by NGS is a highly accurate, reproducible, efficient method that provides more-complete sequencing information for the length of the HLA gene and can be the single methodology for HLA typing in clinical immunogenetics laboratories.
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Affiliation(s)
| | | | | | | | - Dimitri Monos
- From the Division of Transfusion Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Dr Gandhi); the Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania (Ms Ferriola and Drs Huang, Duke, and Monos); and the Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (Dr Monos)
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29
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Spínola H, Lemos A, Couto AR, Parreira B, Soares M, Dutra I, Bruges-Armas J, Brehm A. HLA-DQA1 and HLA-DQB1 allele diversity and its extended haplotypes in Madeira Island (Portugal). Int J Immunogenet 2016; 44:27-31. [DOI: 10.1111/iji.12300] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 10/18/2016] [Accepted: 12/11/2016] [Indexed: 11/27/2022]
Affiliation(s)
- H. Spínola
- Human Genetics Laboratory; University of Madeira; Funchal Portugal
| | - A. Lemos
- Human Genetics Laboratory; University of Madeira; Funchal Portugal
| | - A. R. Couto
- SEEBMO; Hospital Santo Espírito de Angra do Heroísmo; Azores Portugal
- Genetics and Arthritis Research Group - I3S; University of Porto; Porto Portugal
| | - B. Parreira
- SEEBMO; Hospital Santo Espírito de Angra do Heroísmo; Azores Portugal
- Genetics and Arthritis Research Group - I3S; University of Porto; Porto Portugal
| | - M. Soares
- SEEBMO; Hospital Santo Espírito de Angra do Heroísmo; Azores Portugal
- Genetics and Arthritis Research Group - I3S; University of Porto; Porto Portugal
| | - I. Dutra
- SEEBMO; Hospital Santo Espírito de Angra do Heroísmo; Azores Portugal
- Genetics and Arthritis Research Group - I3S; University of Porto; Porto Portugal
| | - J. Bruges-Armas
- SEEBMO; Hospital Santo Espírito de Angra do Heroísmo; Azores Portugal
- Genetics and Arthritis Research Group - I3S; University of Porto; Porto Portugal
| | - A. Brehm
- Human Genetics Laboratory; University of Madeira; Funchal Portugal
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30
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Carapito R, Radosavljevic M, Bahram S. Next-Generation Sequencing of the HLA locus: Methods and impacts on HLA typing, population genetics and disease association studies. Hum Immunol 2016; 77:1016-1023. [DOI: 10.1016/j.humimm.2016.04.002] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 03/15/2016] [Accepted: 04/04/2016] [Indexed: 12/30/2022]
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31
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Romòn I, Montes C, Ligeiro D, Trindade H, Sanchez-Mazas A, Nunes JM, Buhler S. Mapping the HLA diversity of the Iberian Peninsula. Hum Immunol 2016; 77:832-840. [PMID: 27377016 DOI: 10.1016/j.humimm.2016.06.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 06/30/2016] [Accepted: 06/30/2016] [Indexed: 01/02/2023]
Abstract
The polymorphism of HLA genes can be used to reconstruct human peopling history. However, this huge diversity impairs successful matching in stem cell transplantation, a situation which has led to the recruitment of millions of donors worldwide. In parallel to the increase of recruitment, registries are progressively relying on information from population genetics to optimize their donor pools in terms of HLA variability. In this study, the HLA data of 65,000 Spanish bone marrow donors were analyzed together with 60,000 Portuguese individuals to provide a comprehensive HLA genetic map of the Iberian Peninsula. The frequencies of many alleles were shown to vary continuously across the Peninsula, either increasing or decreasing from the Mediterranean coast to the Atlantic domain or from the Strait of Gibraltar to the Pyrenees and Bay of Biscay. Similar patterns were observed for several haplotypes. In addition, within some regions neighboring provinces share a close genetic similarity. These results outline the genetic landscape of the Iberian Peninsula, and confirm that the analysis of the HLA polymorphism may reveal relevant signatures of past demographic events even when data from donor registries are used. This conclusion stimulates future developments of the Spanish registry, presented here for the first time.
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Affiliation(s)
- Iñigo Romòn
- Histocompatibility Laboratory, Hematology and Transfusion Service, Hospital Universitario Marqués de Valdecilla - IFIMAV, Santander, Spain.
| | - Carmen Montes
- Histocompatibility Laboratory, Hematology and Transfusion Service, Hospital Universitario Marqués de Valdecilla - IFIMAV, Santander, Spain
| | - Dario Ligeiro
- Lisbon Center for Blood and Transplantation, Instituto Português de Sangue e Transplantação, IP, Lisbon, Portugal
| | - Hélder Trindade
- Lisbon Center for Blood and Transplantation, Instituto Português de Sangue e Transplantação, IP, Lisbon, Portugal
| | - Alicia Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling history (AGP), Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (IGE3), Switzerland
| | - José Manuel Nunes
- Laboratory of Anthropology, Genetics and Peopling history (AGP), Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Switzerland; Institute of Genetics and Genomics in Geneva (IGE3), Switzerland
| | - Stéphane Buhler
- Laboratory of Anthropology, Genetics and Peopling history (AGP), Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Switzerland; Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility (UIT/LNRH), Department of Genetic and Laboratory Medicine, Geneva University Hospitals, Switzerland.
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32
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Identification of a novel HLA-A allele, HLA-A*01:195, in a UAE national. Hum Immunol 2016; 77:605-8. [DOI: 10.1016/j.humimm.2016.05.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2015] [Revised: 04/20/2016] [Accepted: 05/13/2016] [Indexed: 11/19/2022]
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33
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HLA-DRB1 in Henoch-Schönlein purpura: A susceptibility study from North India. Hum Immunol 2016; 77:555-8. [PMID: 27184863 DOI: 10.1016/j.humimm.2016.05.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2015] [Revised: 07/03/2015] [Accepted: 05/12/2016] [Indexed: 11/21/2022]
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34
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Currat M, Gerbault P, Di D, Nunes JM, Sanchez-Mazas A. Forward-in-Time, Spatially Explicit Modeling Software to Simulate Genetic Lineages Under Selection. Evol Bioinform Online 2016; 11:27-39. [PMID: 26949332 PMCID: PMC4768942 DOI: 10.4137/ebo.s33488] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 12/10/2015] [Accepted: 12/13/2015] [Indexed: 12/20/2022] Open
Abstract
SELECTOR is a software package for studying the evolution of multiallelic genes under balancing or positive selection while simulating complex evolutionary scenarios that integrate demographic growth and migration in a spatially explicit population framework. Parameters can be varied both in space and time to account for geographical, environmental, and cultural heterogeneity. SELECTOR can be used within an approximate Bayesian computation estimation framework. We first describe the principles of SELECTOR and validate the algorithms by comparing its outputs for simple models with theoretical expectations. Then, we show how it can be used to investigate genetic differentiation of loci under balancing selection in interconnected demes with spatially heterogeneous gene flow. We identify situations in which balancing selection reduces genetic differentiation between population groups compared with neutrality and explain conflicting outcomes observed for human leukocyte antigen loci. These results and three previously published applications demonstrate that SELECTOR is efficient and robust for building insight into human settlement history and evolution.
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Affiliation(s)
- Mathias Currat
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland
| | - Pascale Gerbault
- Research Department of Genetics, Evolution and Environment, University College London, London, UK.; Department of Anthropology, University College London, London, UK
| | - Da Di
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland
| | - José M Nunes
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland
| | - Alicia Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland
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35
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Davis J, Fresard L, Knowles D, Pala M, Bustamante C, Battle A, Montgomery S. An Efficient Multiple-Testing Adjustment for eQTL Studies that Accounts for Linkage Disequilibrium between Variants. Am J Hum Genet 2016; 98:216-24. [PMID: 26749306 DOI: 10.1016/j.ajhg.2015.11.021] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Accepted: 11/18/2015] [Indexed: 10/22/2022] Open
Abstract
Methods for multiple-testing correction in local expression quantitative trait locus (cis-eQTL) studies are a trade-off between statistical power and computational efficiency. Bonferroni correction, though computationally trivial, is overly conservative and fails to account for linkage disequilibrium between variants. Permutation-based methods are more powerful, though computationally far more intensive. We present an alternative correction method called eigenMT, which runs over 500 times faster than permutations and has adjusted p values that closely approximate empirical ones. To achieve this speed while also maintaining the accuracy of permutation-based methods, we estimate the effective number of independent variants tested for association with a particular gene, termed Meff, by using the eigenvalue decomposition of the genotype correlation matrix. We employ a regularized estimator of the correlation matrix to ensure Meff is robust and yields adjusted p values that closely approximate p values from permutations. Finally, using a common genotype matrix, we show that eigenMT can be applied with even greater efficiency to studies across tissues or conditions. Our method provides a simpler, more efficient approach to multiple-testing correction than existing methods and fits within existing pipelines for eQTL discovery.
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36
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Abstract
PURPOSE OF REVIEW Nonnecrotizing granulomas in the affected organ are the hallmark of sarcoidosis. This review summarizes most recent genetic findings in sarcoidosis with a focus on genes that might influence granuloma formation or resolution. Specific results in multiple ethnic groups and certain clinical subphenotypes, such as extra-pulmonary organ involvement, are discussed. RECENT FINDINGS Associations of genetic variants in antigen-presenting molecules (HLA-DRB1) were shown to confer risk to sarcoidosis and certain disease phenotypes in populations of different ethnic origins. Specific DRB1 alleles, such as *0301 and *0302, appear to confer protection against chronic disease, but in an ethnic-specific manner illustrating the extensive genetic heterogeneity and complexity at this locus. Mechanistic studies of putative sarcoid antigens lend further credence to a role of HLA-DRB1 in disease pathogenesis. With relevance to granuloma formation, genes involved in apoptotic processes and immune cell activation were further confirmed (ANXA11 and BTNL2) in multiple ethnicities; others were newly identified (XAF1). Linking mechanism to clinical application, a TNF variant was shown to correlate with anti-TNF response in sarcoidosis patients. SUMMARY The investigation of known and novel risk variants for sarcoidosis and specific clinical phenotypes in various ethnicities highlights the genetic complexity of the disease. Detailed subanalysis of disease phenotypes revealed the potential for prediction of extra-pulmonary organ involvement and therapy response based on the patient's genotype.
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37
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HLA imputation in an admixed population: An assessment of the 1000 Genomes data as a training set. Hum Immunol 2015; 77:307-312. [PMID: 26582005 DOI: 10.1016/j.humimm.2015.11.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 11/04/2015] [Accepted: 11/09/2015] [Indexed: 12/13/2022]
Abstract
Methods to impute HLA alleles based on dense single nucleotide polymorphism (SNP) data provide a valuable resource to association studies and evolutionary investigation of the MHC region. The availability of appropriate training sets is critical to the accuracy of HLA imputation, and the inclusion of samples with various ancestries is an important pre-requisite in studies of admixed populations. We assess the accuracy of HLA imputation using 1000 Genomes Project data as a training set, applying it to a highly admixed Brazilian population, the Quilombos from the state of São Paulo. To assess accuracy, we compared imputed and experimentally determined genotypes for 146 samples at 4 HLA classical loci. We found imputation accuracies of 82.9%, 81.8%, 94.8% and 86.6% for HLA-A, -B, -C and -DRB1 respectively (two-field resolution). Accuracies were improved when we included a subset of Quilombo individuals in the training set. We conclude that the 1000 Genomes data is a valuable resource for construction of training sets due to the diversity of ancestries and the potential for a large overlap of SNPs with the target population. We also show that tailoring training sets to features of the target population substantially enhances imputation accuracy.
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38
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Clark PM, Kunkel M, Monos DS. The dichotomy between disease phenotype databases and the implications for understanding complex diseases involving the major histocompatibility complex. Int J Immunogenet 2015; 42:413-22. [PMID: 26456690 DOI: 10.1111/iji.12236] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Revised: 07/14/2015] [Accepted: 08/16/2015] [Indexed: 01/08/2023]
Abstract
Many genes related to innate and adaptive immunity reside within the major histocompatibility complex (MHC) and have been associated with a multitude of complex, immune-related disorders. Despite years of genetic study, this region has seen few causative determinants discovered for immune-mediated diseases. Reported associations have been curated in various databases including the Genetic Association Database, NCBI database of clinically relevant variants (ClinVar) and the Human Gene Mutation Database and together capture genetic associations and annotated pathogenic loci within the MHC and across the genome for a variety of complex, immune-mediated diseases. A review of these three distinct databases reveals disparate annotations between associated genes and pathogenic loci, alluding to the polygenic, multifactorial nature of immune-mediated diseases and the pleiotropic character of genes within the MHC. The technical limitations and inherent biases imposed by current approaches and technologies in studying the MHC create a strong case for the need to perform targeted deep sequencing of the MHC and other immunologically relevant loci in order to fully elucidate and study the causative elements of complex immune-mediated diseases.
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Affiliation(s)
- P M Clark
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - M Kunkel
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - D S Monos
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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39
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Mack SJ, Milius RP, Gifford BD, Sauter J, Hofmann J, Osoegawa K, Robinson J, Groeneweg M, Turenchalk GS, Adai A, Holcomb C, Rozemuller EH, Penning MT, Heuer ML, Wang C, Salit ML, Schmidt AH, Parham PR, Müller C, Hague T, Fischer G, Fernandez-Viňa M, Hollenbach JA, Norman PJ, Maiers M. Minimum information for reporting next generation sequence genotyping (MIRING): Guidelines for reporting HLA and KIR genotyping via next generation sequencing. Hum Immunol 2015; 76:954-62. [PMID: 26407912 DOI: 10.1016/j.humimm.2015.09.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 08/30/2015] [Accepted: 09/22/2015] [Indexed: 11/27/2022]
Abstract
The development of next-generation sequencing (NGS) technologies for HLA and KIR genotyping is rapidly advancing knowledge of genetic variation of these highly polymorphic loci. NGS genotyping is poised to replace older methods for clinical use, but standard methods for reporting and exchanging these new, high quality genotype data are needed. The Immunogenomic NGS Consortium, a broad collaboration of histocompatibility and immunogenetics clinicians, researchers, instrument manufacturers and software developers, has developed the Minimum Information for Reporting Immunogenomic NGS Genotyping (MIRING) reporting guidelines. MIRING is a checklist that specifies the content of NGS genotyping results as well as a set of messaging guidelines for reporting the results. A MIRING message includes five categories of structured information - message annotation, reference context, full genotype, consensus sequence and novel polymorphism - and references to three categories of accessory information - NGS platform documentation, read processing documentation and primary data. These eight categories of information ensure the long-term portability and broad application of this NGS data for all current histocompatibility and immunogenetics use cases. In addition, MIRING can be extended to allow the reporting of genotype data generated using pre-NGS technologies. Because genotyping results reported using MIRING are easily updated in accordance with reference and nomenclature databases, MIRING represents a bold departure from previous methods of reporting HLA and KIR genotyping results, which have provided static and less-portable data. More information about MIRING can be found online at miring.immunogenomics.org.
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Affiliation(s)
- Steven J Mack
- Children's Hospital Oakland Research Institute, Oakland, CA, USA.
| | | | | | - Jürgen Sauter
- DKMS German Bone Marrow Donor Center, Tübingen, Germany
| | - Jan Hofmann
- DKMS German Bone Marrow Donor Center, Tübingen, Germany
| | | | - James Robinson
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK; University College London Cancer Institute, University College London, London, UK
| | | | | | - Alex Adai
- Bioinformatics, Roche Sequencing, Pleasanton, CA, USA
| | | | | | | | | | - Chunlin Wang
- Stanford Genome Technology Center, Stanford University, Stanford, CA, USA
| | - Marc L Salit
- National Institute of Standards and Technology, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA
| | | | - Peter R Parham
- Department of Structural Biology, Stanford University, Stanford, CA, USA
| | | | | | | | | | - Jill A Hollenbach
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Paul J Norman
- Department of Structural Biology, Stanford University, Stanford, CA, USA
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Bub CB, Gonçalez AC, Barjas-Castro ML, Sousa LCDM, do Monte SJH, Castro V. The use of a potential novel tool in virtual crossmatching for platelet transfusion in platelet refractoriness. Vox Sang 2015; 110:70-8. [DOI: 10.1111/vox.12315] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Revised: 06/17/2015] [Accepted: 06/22/2015] [Indexed: 12/01/2022]
Affiliation(s)
- C. B. Bub
- Hematology and Hemotherapy Center; University of Campinas - UNICAMP; Instituto Nacional de Ciência e Tecnologia do Sangue (INCTS); Campinas Brazil
| | - A. C. Gonçalez
- Hematology and Hemotherapy Center; University of Campinas - UNICAMP; Instituto Nacional de Ciência e Tecnologia do Sangue (INCTS); Campinas Brazil
| | - M. L. Barjas-Castro
- Hematology and Hemotherapy Center; University of Campinas - UNICAMP; Instituto Nacional de Ciência e Tecnologia do Sangue (INCTS); Campinas Brazil
| | - L. C. D. M. Sousa
- Immunogenetics and Molecular Biology Laboratory; Federal University of Piauí; Teresina Brazil
| | - S. J. H. do Monte
- Immunogenetics and Molecular Biology Laboratory; Federal University of Piauí; Teresina Brazil
| | - V. Castro
- Hematology and Hemotherapy Center; University of Campinas - UNICAMP; Instituto Nacional de Ciência e Tecnologia do Sangue (INCTS); Campinas Brazil
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Trans-Species Polymorphism in Immune Genes: General Pattern or MHC-Restricted Phenomenon? J Immunol Res 2015; 2015:838035. [PMID: 26090501 PMCID: PMC4458282 DOI: 10.1155/2015/838035] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 05/04/2015] [Indexed: 11/24/2022] Open
Abstract
Immunity exhibits extraordinarily high levels of variation. Evolution of the immune system in response to host-pathogen interactions in particular ecological contexts appears to be frequently associated with diversifying selection increasing the genetic variability. Many studies have documented that immunologically relevant polymorphism observed today may be tens of millions years old and may predate the emergence of present species. This pattern can be explained by the concept of trans-species polymorphism (TSP) predicting the maintenance and sharing of favourable functionally important alleles of immune-related genes between species due to ongoing balancing selection. Despite the generality of this concept explaining the long-lasting adaptive variation inherited from ancestors, current research in TSP has vastly focused only on major histocompatibility complex (MHC). In this review we summarise the evidence available on TSP in human and animal immune genes to reveal that TSP is not a MHC-specific evolutionary pattern. Further research should clearly pay more attention to the investigation of TSP in innate immune genes and especially pattern recognition receptors which are promising candidates for this type of evolution. More effort should also be made to distinguish TSP from convergent evolution and adaptive introgression. Identification of balanced TSP variants may represent an accurate approach in evolutionary medicine to recognise disease-resistance alleles.
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