HLA-C Alleles Research Articles

Frequencies of Human Leukocyte Antigen Alleles in Turkish Children with Kawasaki Disease

Abstract Objective Kawasaki disease (KD) is an acute systemic vasculitis that is one of the major causes of acquired heart disease especially in young children. The pathogenesis of KD is still unclear. The increased incidence of the disease among Japanese children and siblings of affected patients suggests a genetic component to KD susceptibility. Several reports have studied human leukocyte antigen (HLA) polymorphisms in different populations with KD and found various results. In the present study, we aimed to evaluate the association of HLA-A, -B, -C, -DRB1, and -DQB1 allele frequencies in Turkish children with KD. Methods The study was conducted between January 2016 and February 2018. HLA Class I (A, B, and C) and Class II (DRB1 and DQB1) alleles of patients and healthy controls were studied using the low-resolution DNA-based sequence-specific oligonucleotide method. Results Fifty children with KD and 500 healthy controls were included in this study. In the analysis of HLA-A, HLA-B, HLA-C, and HLA-DRB1 alleles, no statistical difference was found in the frequency of alleles between the patients with KD and the control group. However, a significantly lower frequency of the HLA-DQB1*03 allele was observed in the KD group than in the control group (p < 0.001, odds ratio [OR]: 0.29, 95% confidence interval [CI]: 0.15–0.55). When the patients with KD were divided into two subgroups with or without coronary artery lesions (CALs), the frequency of the HLA-DQB1*03 allele was also found lower in the KD group with CALs than the KD group without CALs (p = 0.008, OR: 0.19, 95% CI: 0.05–0.68). Conclusion The study may guide future studies on HLA-DQB1*03 whether it is a protective allele for KD and CALs in Turkish children.

HLA-C Peptide Repertoires as Predictors of Clinical Response during Early SARS-CoV-2 Infection.

The human leukocyte antigen (HLA) system plays a pivotal role in the immune response to viral infections, mediating the presentation of viral peptides to T cells and influencing both the strength and specificity of the host immune response. Variations in HLA genotypes across individuals lead to differences in susceptibility to viral infection and severity of illness. This study uses observations from the early phase of the COVID-19 pandemic to explore how specific HLA class I molecules affect clinical responses to SARS-CoV-2 infection. By analyzing paired high-resolution HLA types and viral genomic sequences from 60 patients, we assess the relationship between predicted HLA class I peptide binding repertoires and infection severity as measured by the sequential organ failure assessment score. This approach leverages functional convergence across HLA-C alleles to identify relationships that may otherwise be inaccessible due to allelic diversity and limitations in sample size. Surprisingly, our findings show that severely symptomatic infection in this cohort is associated with disproportionately abundant binding of SARS-CoV-2 structural and non-structural protein epitopes by patient HLA-C molecules. In addition, the extent of overlap between a given patient's predicted HLA-C and HLA-A peptide binding repertoires correlates with worse prognoses in this cohort. The findings highlight immunologic mechanisms linking HLA-C molecules with the human response to viral pathogens that warrant further investigation.

High Resolution HLA-A, HLA-B, and HLA-C Allele Frequencies in Romanian Hematopoietic Stem Cell Donors.

The HLA genes are associated with various autoimmune pathologies, with the control of the immune response also being significant in organs and cells transplantation. The aim of the study is to identify the HLA-A, HLA-B, and HLA-C alleles frequencies in the analyzed Romanian cohort. We performed HLA typing using next-generation sequencing (NGS) in a Romanian cohort to estimate class I HLA allele frequencies up to a six-digit resolution. A total of 420 voluntary donors from the National Registry of Voluntary Hematopoietic Stem Cell Donors (RNDVCSH) were included in the study for HLA genotyping. Peripheral blood samples were taken and brought to the Fundeni Clinical Institute during 2020-2021. HLA genotyping was performed using the Immucor Mia Fora NGS MFlex kit. A total of 109 different alleles were detected in 420 analyzed samples, out of which 31 were for HLA-A, 49 for HLA-B, and 29 for HLA-C. The most frequent HLA-A alleles were HLA-A*02:01:01 (26.11%), HLA-A*01:01:01 (12.5%), HLA-A*24:02:01 (11.67%), HLA-A*03:01:01 (9.72%), HLA-A*11:01:01, and HLA-A*32:01:01 (each with 8.6%). For the HLA-B locus, the most frequent allele was HLA-B*18:01:01 (11.25%), followed by HLA-B*51:01:01 (10.83%) and HLA-B*08:01:01 (7.78%). The most common HLA-C alleles were HLA-C*07:01:01 (17.36%), HLA-C*04:01:01 (13.47%), and HLA-C*12:03:01 (10.69%). Follow-up studies are ongoing for confirming the detected results.

A novel HLA-C*18 variant allele, HLA-C*18:20, identified by next-generation sequencing.

A missense nucleotide substitution at codon 95 of HLA-C*18:01:01:01 creates a novel allele HLA-C*18:20.

Identification of a novel HLA-C allele, HLA-C*02:246.

HLA-C*02 246 has one nucleotide change from HLA-C*02:02:02:01 at nucleotide 523 changing Arginine to Cysteine at residue 151.

Identification of the new allele HLA-C*04:01:01:186 in a Greek individual using next generation sequencing.

The newly discovered HLA-C*04:01:01:186 allele differs from HLA-C*04:01:01:01 by a single nucleotide substitution in intron 3.

Identification of the novel HLA-C allele, HLA-C*04:520.

HLA-C*04:520, a novel HLA-C allele, differs from HLA-C*04:01:01 by one mismatch in exon 5.

Identification of a new HLA-C allele, HLA-C*05:01:81.

At position 778 (C→T) in exon 3, the new allele C*05:01:81 is distinct from C*05:01:01.

Detection of the HLA-C*08:66 allele in a Taiwanese individual.

Two nucleotide substitutions in codon 152 of HLA-C*08:01:01:01 result in a novel allele HLA-C*08:66.

Identification of five new HLA-C alleles by next-generation sequencing.

Five novel HLA-C alleles detected by next-generation sequencing: HLA-C*02:02:73, -C*03:04:106, -C*06:382, -C*07:1114Q and -C*12:408.

A simple sequencing protocol for genotyping the <i>HLA-C</i>locus by the Sanger method

The HLA-C gene, which belongs to the HLA superfamily (Human Leukocyte Antigen), codes for the Major Histocompatibility Complex (MHC), which plays crucial roles in the human immune system. This study aimed to develop a simple sequencing protocol by the Sanger method using fewer primers and reactions for genotyping the HLA-C gene than published protocols. The simple protocol with three primers includes one PCR reaction and two sequencing reactions. The primer set comprising SEQ ID1 and SEQ ID2 was used for the PCR reaction to specifically amplify the exon 2 – exon 3 region of the HLA-C locus, which contains the typical SNPs of each HLA-C allele. The PCR product was purified and used as a template for the sequencing reactions. Two forward primers, SEQ ID1 and SEQ ID3 were used for sequencing, in which, the SEQ ID1 forward primer is located in the intron 1 region and the SEQ ID3 forward primer is located in the intron 2 region of the HLA-C gene. Testing the simple sequencing protocol on four samples of known HLA-C genotypes showed 100% accurate results. The established Sanger sequencing protocol is simple to implement, and reduces cost and time. Thus, this protocol can be used for HLA-C sequencing for pharmacogenetic studies and applications.

Identification of the novel HLA-C allele, HLA-C*12:351Q, using next-generation sequencing.

The novel allele HLA-C*12:351Q differs from HLA-C*12:02:02:01 by a single nucleotide deletion in exon 5.

Identification of the novel HLA-C allele, HLA-C*07:02:150.

A novel HLA-C*07 allele, now officially designated HLA-C*07:02:150, was identified by next-generation sequencing.

The novel HLA-C*07:02:147 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-C*07:02:147 differs from HLA-C*07:02:01:01 by one synonymous nucleotide substitution in exon 2.

An Optimal Multi-Locus HLA-Typing in Potential Donors of Allogeneic Hematopoietic Stem Cells

Background. HLA-typing and matched donor selection as well as the detection of donor-specific anti-HLA antibodies are essential for allogeneic hematopoietic cell transplantation (allo-HSCT). In accordance with the guidelines of the Center for International Blood and Marrow Transplant Research (CIBMTR) optimal HLA-typing is performed on 11 HLA genes (-A, ‐B, ‐C, ‐DRB1, ‐DRB3/4/5, ‐DQA1, ‐DQB1, ‐DPA1, and ‐DPB1) with an adequate coverage aiming to obtain the values at the two-field level.
 Aim. To assess the results of multi-locus HLA-typing in bone marrow/hematopoietic cell donors from the database at the National Research Center for Hematology in terms of their conformance with the CIBMTR guidelines for allo-HSCT and to analyze the frequency and distribution of HLA alleles and multi-locus HLA haplotypes.
 Materials & Methods. The study enrolled 3485 donors who were HLA-typed by next-generation sequencing.
 Results. In all donors, the alleles of HLA class I genes were identified at the fourth-field level (nucleotide sequence). When the results were reduced to the second-field level (amino acid sequence), 61 HLA-A, 92 HLA-B, and 49 HLA-C alleles were detected. The alleles of class II genes were discovered either at the two-field or high-resolution levels. Among the HLA-DRB locus genes, 57 DRB1, 11 DRB3, 6 DRB4, and 5 DRB5 alleles were identified. Also, 23 HLA-DQA1, 30 HLA-DQB1, 14 HLA-DPA1, and 33 HLA-DPB1 alleles were detected. There were reported 3289 different HLA haplotypes of A-B-C-DRB1-DQA1-DQB1-DPA1-DPB1 genes.
 Conclusion. The database created at the National Research Center for Hematology includes potential bone marrow/hematopoietic stem cell donors typed for 11 classical polymorphic genes HLA-A, ‐B, ‐C, ‐DRB1, ‐DRB3/4/5, ‐DQA1, ‐DQB1, ‐DPA1, and -DPB1, which is in line with the guidelines of CIBMTR. The frequency and distribution of HLA alleles and multi-locus HLA haplotypes in our donors correspond to those in populations of European origin. HLA-typing and donor selection with regard to 11 HLA genes will contribute to improving the outcomes of both unrelated and haploidentical HSCTs.

Association of HLA-C*07:359 with HLA-A, -B, and -DRB1 alleles in Taiwanese.

It is thought that Taiwanese indigenous people were the "first people" to populate Taiwan (Formosa) having been there for over 5000 years, preceding the Dutch colonization (from 1624 to 1662) and Spanish colonization (from 1626 to 1642). Taiwan's indigenes, represented by Austronesian language speakers, currently constitute approximately 2% of the total population in Taiwan. It is unknown whether they evolved from Taiwan's Paleolithic or Neolithic cultures, arrived during or after the Neolithic period from China or Southeast Asia or both. HLA studies on the Taiwanese indigenous population have found several intriguing genetic information showing one or two relatively frequently observed alleles and a small number of relatively less frequently observed ones. We report here a relatively frequently observed HLA-C*07:359 allele in the Taiwanese indigenous population, its linkage with HLA-B*39:01, and its probable associated HLA haplotype in two Taiwanese indigenous families. HLA-C*07:359 is a rarely observed allele in the HLA-C locus in the world populations. The objective of this study is to report the allele HLA-C*07:359 that is more frequently found in the Taiwanese population, especially in the Taiwanese indigenous people, to demonstrate that it has a close linkage with HLA-B*39:01 allele in the HLA-B locus and to show the plausible deduced HLA-A-C-B-DRB1-DQB1 haplotypes in association with HLA-C*07:359 in two families of Taiwanese indigenous unrelated individuals. The samples were peripheral whole blood, with dipotassium ethylenediaminetetraacetic acid and/or acid citrate dextrose anticoagulation additives. The sequence-based typing method was employed to confirm the low incidence of the allele of HLA-C*07:359 observed in Taiwanese. Polymerase chain reaction was carried out to amplify exons 2, 3, and 4 of the HLA-A,-B,-C,-DRB1 and-DQB1 loci with group-specific primer sets. Amplicons were sequenced using the BigDye Terminator Cycle Sequencing Ready Reaction Kit in both directions according to the manufacturer's protocol. C*07:359 is an uncommon allele in the HLA-C locus in the world general population, according to our literature review. However, in this study, it is observed in the general Taiwanese population (frequency 0.41%), especially in the Taiwanese indigenous people at a frequency of 0.23%. In addition, we deduced two probable HLA haplotypes in association with C*07:359 in two indigenous families: A*24:02-C*07:359-B*39:01-DRB1*04:36 and A*24:02-C*07:359-B*39:01-DRB1*04:04. The two deduced HLA haplotypes associated with the uncommon C*07:359 allele that we report here are valuable for HLA tissue typing laboratories for reference purposes and for stem cell transplantation donor search coordinators to determine the likelihood of finding compatible donors in unrelated bone marrow donor registries for patients bearing the uncommon HLA allele. Since C*07:359 was found mostly in the Taiwanese indigenous population, we think the allele and its haplotypes we report here are important in population and anthropological studies.

Association between brain cancer immunogenetic profile and in silico immunogenicities of 11 viruses

Several viruses including human herpes viruses (HHVs), human polyomavirus JCV, and human papilloma virus (HPV) have been implicated in brain cancer, albeit inconsistently. Since human leukocyte antigen (HLA) is centrally involved in the human immune response to viruses and has been implicated in brain cancer, we evaluated in silico the immunogenicity between 69 Class I HLA alleles with epitopes of proteins of 9 HHVs, JCV, and HPV with respect to a population-based HLA-brain cancer profile. We found that immunogenicity varied widely across HLA alleles with HLA-C alleles exhibiting the highest immunogenicity, and that immunogenicity scores were negatively associated with the population-based HLA-brain cancer profile, particularly for JCV, HHV6A, HHV5, HHV3, HHV8, and HHV7. Consistent with the role of HLA in foreign antigen elimination, the findings suggest that viruses with proteins of high HLA immunogenicity are eliminated more effectively and, consequently, less likely to cause brain cancer; conversely, the absence of highly immunogenic HLA may allow the viral antigens to persist, contributing to cancer.

The novel HLA-C allele, HLA-C*01:02:84 allele, identified in a solid organ transplantation donor.

HLA-C*01:02:84 differs from HLA-C*01:02:01:01 by one synonymous nucleotide substitution in codon 48.

Assessing HLA imputation accuracy in a West African population.

The Human Leukocyte Antigen (HLA) region plays an important role in autoimmune and infectious diseases. HLA is a highly polymorphic region and thus difficult to impute. We, therefore, sought to evaluate HLA imputation accuracy, specifically in a West African population, since they are understudied and are known to harbor high genetic diversity. The study sets were selected from 315 Gambian individuals within the Gambian Genome Variation Project (GGVP) Whole Genome Sequence datasets. Two different arrays, Illumina Omni 2.5 and Human Hereditary and Health in Africa (H3Africa), were assessed for the appropriateness of their markers, and these were used to test several imputation panels and tools. The reference panels were chosen from the 1000 Genomes (1kg-All), 1000 Genomes African (1kg-Afr), 1000 Genomes Gambian (1kg-Gwd), H3Africa, and the HLA Multi-ethnic datasets. HLA-A, HLA-B, and HLA-C alleles were imputed using HIBAG, SNP2HLA, CookHLA, and Minimac4, and concordance rate was used as an assessment metric. The best performing tool was found to be HIBAG, with a concordance rate of 0.84, while the best performing reference panel was the H3Africa panel, with a concordance rate of 0.62. Minimac4 (0.75) was shown to increase HLA-B allele imputation accuracy compared to HIBAG (0.71), SNP2HLA (0.51) and CookHLA (0.17). The H3Africa and Illumina Omni 2.5 array performances were comparable, showing that genotyping arrays have less influence on HLA imputation in West African populations. The findings show that using a larger population-specific reference panel and the HIBAG tool improves the accuracy of HLA imputation in a West African population.

HLA-C*04:09N is expressed at the cell surface and triggers peptide-specific T-cell activation.

The null allele HLA-C*04:09N differs from HLA-C*04:01 in a frameshift mutation within its cytoplasmic domain, resulting in translation of 32 additional amino acids that are assumed to prevent cell surface expression. However, we recently identified a multiple myeloma-reactive T-cell receptor (TCR) that appeared to recognize antigen presented on HLA-C*04:09N and encouraged us to ask whether HLA-C*04:09N, albeit not easily detectable at the cell surface, can present antigen sufficient for T-cell activation. We generated two HLA-class I-deficient cell lines, re-expressed HLAC* 04:09N, detected HLA expression by flow cytometry, and tested for T-cell activation using a cytomegalovirus peptide- specific HLA-C*04:01-restricted TCR. In both cell lines, HLA-C*04:09N expression was detectable at the cell surface and could be enhanced by IFN-γ exposure. Recombinant HLA-C*04:09N expression was sufficient for T-cell activation in vitro, which could be blocked by an HLA-class I-specific antibody, suggesting HLA-TCR interaction at the cell surface. Peripheral blood mononuclear cells isolated from an individual who physiologically expressed HLA-C*04:09N triggered peptide-specific T-cell activation, confirming our results with cells with natural HLA expression levels. In conclusion, we present peptide-specific HLA-C*04:09N-restricted T-cell activation and suggest consideration of this allele in the appropriate clinical context, such as allogeneic stem cell transplantation, or in the setting of cellular therapy.