HLA Allele Frequencies Research Articles

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.

HLA alleles, haplotypes frequencies, and their association with hematological disorders: a report from 1550 families whose patients underwent allogeneic bone marrow transplantation in Egypt.

HLA alleles are representative of ethnicities and may play important roles in predisposition to hematological disorders. We analyzed DNA samples for HLA-A, -B, -C, -DRB1, and -DQB1 loci, from 1550 patients and 4450 potential related donors by PCR-SSO (Polymerase chain reaction sequence-specific oligonucleotides) and estimated allele frequencies in donors and patients from 1550 families who underwent bone marrow transplantation (BMT) in Egypt. We also studied the association between HLA allele frequencies and incidence of acute myeloid leukemia, acute lymphoblastic leukemia, and severe aplastic anemia. The most frequently observed HLA class I alleles were HLA- A*01:01 (16.9%), A*02:01 (16.1%), B*41:01 (8.7%), B*49:01 (7.3%), C*06:02 (25.1%), and C*07:01 (25.1%), and the most frequently observed class II alleles were HLA-DRB1*11:01 (11.8%), DRB1*03:01 (11.6%), DQB1*03:01 (27.5%), and DQB1*05:01 (18.9%). The most frequently observed haplotypes were A*33:01~B*14:02 ~ DRB1*01:02 (2.35%) and A*01:01~B*52:01~DRB1*15:01 (2.11%). HLA-DRB1*07:01 was associated with higher AML odds (OR, 1.26; 95% CI, 1.02-1.55; p = 0.030). Only HLA-B38 antigen showed a trend towards increased odds of ALL (OR, 1.52; 95% CI, 1.00-2.30; p = 0.049) HLA-A*02:01, -B*14:02, and -DRB1*15:01 were associated with higher odds of SAA (A*02:01: OR, 1.35; 95% CI, 1.07-1.70; p = 0.010; B*14:02: OR, 1.43; 95% CI, 1.06-1.93; p = 0.020; DRB1*15:01: OR, 1.32; 95% CI, 1.07-1.64; p = 0.011). This study provides estimates of HLA allele and haplotype frequencies and their association with hematological disorders in an Egyptian population.

Immunological markers of rheumatoid arthritis in the Moroccan population

Aim: few studies exist on HLA-DRB1 alleles and their association with RA in North Africa. We aimed to provide an evaluation of the distribution of the HLA-DRB1* and -DQB1* genes in Moroccan patients with early RA. Additionally, we sought to analyze the relationship between HLA molecules and the production of rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibodies (anti-CCP) in these patients. Methods: 65 patients with rheumatoid arthritis benefited from HLA class II typing (DRB1* and DQB1*) and testing for anti-CCP and RF antibodies. The frequency of HLA alleles was compared to that of 180 healthy controls. Logistic regression analysis was used to investigate the association of HLA-DR and -DQ molecules in the different subgroups according to anti-CCP and RF status. Results: The frequency of HLA-DRB1*04 and *11 alleles is increased in patients compared to controls (OR = 1.9; 95% CI (1.06-3.30), P=0.029; OR=2, 95% CI (1-3.83, P=0.047, respectively). 56 patients (86.1%) were RF positive, and 67.7% were anti-CCP positive. A significant increase in the frequency of DRB1*04 alleles was also noted in seropositive patients. Conclusion: Our results suggest the predisposition of the HLA-DRB1*04 allele and the seropositive status of patients with RA. This could be useful in predicting the evolution of RA and establishing a diagnosis in some patients at an early stage of disease use.

Design of SARS-CoV-2 protein S peptides recognized by the most frequent HLA alleles in the Moroccan population using an immunoinformatics approach

Background The coronavirus disease 2019 (COVID-19) is an infectious disease, caused by the new coronavirus known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), and exhibits diverse clinical outcomes and symptoms in infected individuals, emphasizing the need to investigate how human genetic diversity influences the virus’s impact. This study aims to employ in silico methods to identify epitopes capable of eliciting an immune response, focusing on the most prevalent HLA-I and HLA-II alleles in the Moroccan population. Methods Our research consisted in predicting peptide-binding affinities between the most prevalent HLA Class I and Class II alleles in the Moroccan population and SARS-CoV-2 spike glycoprotein (S protein) peptides of variants isolated from strains of Moroccan patients. We performed the same analyses for SARS-CoV-2 wild type S protein to assess the ability of these HLA alleles to interact with peptides in the presence or absence of SARS-CoV-2 mutations. Results In a broader sense, 12 distinct HLA Class I and Class II alleles in the Moroccan population have been identified as possibly interacting with 19 epitopes in the SARS-CoV-2 S protein. Findings of this study must be validated in both in vitro and in vivo models. Conclusions These data may help clarify the issue of host cell susceptibility and the outcome of SARS-CoV-2 infection, and may guide further research to uncover potential targets for the vaccination strategy.

Frequency of HLA alleles in to cyclosporine induced neurotoxicity

Frequency of HLA alleles in to cyclosporine induced neurotoxicity

Exploring the role of HLA variants in neuroblastoma susceptibility through whole exome sequencing.

Although a number of susceptibility loci for neuroblastoma (NB) have been identified by genome-wide association studies, it is still unclear whether variants in the HLA region contribute to NB susceptibility. In this study, we conducted a comprehensive genetic analysis of variants in the HLA region among 724 NB patients and 2863 matched controls from different cohorts. We exploited whole-exome sequencing data to accurately type HLA alleles with an ensemble approach on the results from three different typing tools, and carried out rigorous sample quality control to ensure a fine-scale ancestry matching. The frequencies of common HLA alleles were compared between cases and controls by logistic regression under additive and non-additive models. Population stratification was taken into account adjusting for ancestry-informative principal components. We detected significant HLA associations with NB. In particular, HLA-DQB1*05:02 (OR = 1.61; padj = 5.4 × 10-3) and HLA-DRB1*16:01 (OR = 1.60; padj = 2.3 × 10-2) alleles were associated to higher risk of developing NB. Conditional analysis highlighted the HLA-DQB1*05:02 allele and its residue Ser57 as key to this association. DQB1*05:02 allele was not associated to clinical features worse outcomes in the NB cohort. Nevertheless, a risk score derived from the allelic combinations of five HLA variants showed a substantial predictive value for patient survival (HR = 1.53; p = 0.032) that was independent from established NB prognostic factors. Our study leveraged powerful computational methods to explore WES data and HLA variants and to reveal complex genetic associations. Further studies are needed to validate the mechanisms of these interactions that contribute to the multifaceted pattern of factors underlying the disease initiation and progression.

Designing a Novel di-epitope Diphtheria Vaccine: A Rational Structural Immunoinformatics Approach.

The design of an epitope-based vaccine against diphtheria toxin (DT) originated from the idea that many strong binder epitopes may be structurally located in the depth of DT. Subsequently, many ineffective antibodies may be produced by the presentation of those epitopes to T and B lymphocytes. The other critical issue is the population coverage of a vaccine that has been neglected in traditional vaccines. </P> Objective: Given the issues above, our study aimed to design a peptide-based diphtheria vaccine, considering the issues of unwanted epitopes and population coverage. </P> Methods: The frequencies of pre-determined HLA alleles were listed. A country in which almost all HLA alleles had been determined in almost all geographical distribution was selected. The epitopes within the sequence of diphtheria toxin were predicted by the NetMHCIIPan server based on the selected HLA alleles. Strong binder epitopes on the surface of diphtheria toxin were selected by structural epitope mapping. The epitopes, which cover almost all the human population for each of the HLA alleles in the candidate country, were then selected as epitopebased vaccines. </P> Results: At first, 793 strong binder epitopes were predicted, of which 82 were surface epitopes. Nine surface epitopes whose amino acids had extruding side chains were selected. Finally, 2 epitopes had the most population coverage and were suggested as a di-epitope diphtheria vaccine. The population coverage of the di-epitope vaccine in France and the world was 100 and 99.24 %, respectively. HLA-DP had the most roles in epitope presentation. </P> Conclusion: Our results indicated that 97.75 % of unwanted antibodies (791 epitopes) have been reduced. Achieving two immunodominant surface epitopes confirmed our rational filtration strategy for sequential reduction of unwanted epitopes. Our novel insight may pave a new way to designing novel peptide-based vaccines to avoid producing non-specific antibodies.

Evaluation the frequencies of HLA alleles in moderate and severe COVID-19 patients in Iran: A molecular HLA typing study

BackgroundSevere acute respiratory syndrome coronavirus 2 was first reported in December 2019 and it has spread globally ever since. The HLA system is crucial in directing anti-viral immunity and recent studies are investigating the possible involvement of the HLA genes on the severity of immune inflammation in different phases of COVID-19. MethodsIn this cross-sectional study, peripheral blood-extracted genomic DNAs of 109 COVID-19 patients and 70 healthy controls were genotyped for different alleles of HLA-A, HLA-B, and HLA-DRB1 loci using sequence-specific primer PCR method. ResultsThe results indicated that frequencies of HLA-DRB1*11:01 and HLA-DRB1*04:03 were significantly higher in severe patients rather than moderates (p: <0.001 and 0.004, respectively). Also, it was observed that HLA-DRB1*04:01 was more frequent in moderate patients and healthy controls (p:0.002). In addition, HLA-B*07:35, and HLA-DRB1*07:01 showed higher frequencies in patients compared with controls (p: 0.031 and 0.003 respectively). Inversely, due to the higher frequencies of HLA-B*51:01 (p:0.027), HLA-DRB1*11:05 (p:0.003), HLA-DRB1*13:05 (p:0.022), and HLA-DRB1*14:01 (p:0.006) in healthy individuals rather than patients, they may be associated with COVID-19 resistance. ConclusionThe results show that, based on the population differences, the type of alleles related to the severity of COVID-19 is different, which should be clarified by designing large-scale studies in order to develop HLA-based treatments and vaccines.

Strong humoral response after Covid-19 vaccination correlates with the common HLA allele A*03:01 and protection from breakthrough infection.

Few data exist on the role of genetic factors involving the HLA system on response to Covid-19 vaccines. Moving from suggestions of a previous study investigating the association of some HLA alleles with humoral response to BNT162b2, we here compared the HLA allele frequencies among weak (n = 111) and strong (n = 123) responders, defined as those healthcare workers with the lowest and the highest anti-Spike antibody levels after vaccination. Individuals with clinical history of Covid-19 or positive anti-nucleocapside antibodies were excluded. We found the common HLA-A*03:01 allele as an independent predictor of strong humoral response (OR = 12.46, 95% CI: 4.41-35.21, p < 0.0001), together with younger age of vaccines (p = 0.004). Correlation between antibody levels and protection from breakthrough infection has been observed, with a 2-year cumulative incidence of 42% and 63% among strong and weak responders, respectively (p = 0.03). Due to the high frequency of HLA-A*03:01 and the need for seasonal vaccinations against SARS-CoV-2 mutants, our findings provide useful information about the inter-individual differences observed in humoral response after Covid-19 vaccine and might support further studies on the next seasonal vaccines.

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.&#x0D; 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.&#x0D; Materials &amp; Methods. The study enrolled 3485 donors who were HLA-typed by next-generation sequencing.&#x0D; 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.&#x0D; 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.

Recruiting refugees and migrants as potential hematopoietic stem cell donors to serve patients of comparable ethnicities with rare human leucocyte antigen patterns - The BluStar.NRW project in North Western Germany

Currently, approximately 19 million people with a migration background live in Germany. The majority of those descend from regions where the population has a genetically different distribution of HLA antigens when compared to the HLA frequencies usually found in North Western Europe. In case of severe haematological disorders of these individuals, allogeneic stem cell transplantation may be the treatment of choice. However, finding appropriate histocompatible hematopoietic stem cell donors continues to be a major challenge. If no matching sibling donors are available, there are only few suitable donors with a similar genetic background available in international blood stem cell donor registries.The “BluStar.NRW” project aimed to recruit new blood and hematopoietic stem cell donors with a migration background and to noticeably increase the number of suitable donors for patients within this group. Since December 2017, a total number of 9100 blood and stem cell donors with a migration background were recruited and typed for this project. HLA typing for HLA-A, -B, -C, -DRB1, -DQB1, and -DPB1 was performed by Next Generation Sequencing. We assessed the proportion of rare alleles according to HLA frequency tables, as defined by a frequency of <1:1000. The rare HLA allele frequencies according to HLA frequency tables of the BluStar.NRW cohort were compared with a matched control donor cohort: Rare HLA-A, -B, -C, -DRB1 and -DQB1 alleles occurred three times more frequent than in the control group, but rare HLA-DPB1 alleles occurred more frequently in the control cohort. This difference was highly significant for all HLA alleles (p < 0.0001 for HLA-A, -B, -C, -DRB1, -DPB1; p = 0.0002 for HLA-DQB1). In addition, the distribution of rare alleles differed between the two groups. To date, 29 work-ups were initiated, 12 PBSC, one BM and three DLI were collected so far out of the BluStar.NRW cohort. The apheresis probability is twofold higher (0.18% vs. 0.07%) compared to the control group which clearly shows a serious medical need. However, 13 work-ups were cancelled in the BluStar.NRW donor cohort which represents an almost twice as higher cancellation rate (45% vs. 25%).This single registry analysis with a large sample cohort clearly indicates that hematopoietic stem cell donors with a migration background represent an adequate donor pool to serve patients of comparable ethnicity.

An intermediate-sized donor registry experience: HLA barriers in matching procedures.

The data enabling the estimation of the possibility of finding a matched unrelated donor (MUD) within a relatively short time is important for the success of hematopoietic stem cell transplantation (HSCT). In the present study, 738 unrelated Croatian patients in the program of unrelated HSCT were retrospectively analyzed for gender matching, donor origin (national or international), the distribution of HLA alleles and haplotypes, as well as for the probability of finding a 9-10/10 MUD. Almost 70% of the patients in our study group had a 10/10 MUD, while among the patients with a 9/10 MUD, a 1st field resolution level mismatched donor was selected for 55.0% of patients. The majority of pairs were HLA-A mismatched (33.8%). A comparison of HLA allele frequencies between two subgroups of patients revealed significant differences for 13 alleles. However, after p value correction, the difference in frequency remained significant only for four alleles; three HLA alleles (B*08:01, C*07:01, and DRB1*03:01) demonstrated a significantly higher frequency among patients with a 10/10 MUD (Pcorr < 0.0001, Pcorr = 0.0096, and Pcorr < 0.0001, respectively), while the B*35:08 allele was significantly more present among patients with a 9/10 MUD (Pcorr = 0.0328). The comparison of the distribution of HLA haplotypes between patients with a 10/10 MUD and patients with a 9/10 MUD showed significant differences for a number of two-locus and three-locus haplotypes, as well as for one five-locus haplotype (HLA-A*01:01~B*08:01~C*07:01~DRB1*03:01~DQB1*02:01), which was significantly more present in the group of patients with a 10/10 MUD. At least one HLA haplotype from the group of non-frequent HLA haplotypes (positions >1000) was carried by patients with a 9/10 MUD. The data obtained by the present study will contribute to a better estimation of the probability of finding a suitable 9-10/10 MUD for Croatian patients in need of HSCT.

HLA frequency distribution of the Portuguese bone marrow donor registry.

The Portuguese donor Registry of CEDACE was the fifth largest per capita bone marrow donor Registry of the WMDA as of 2019 and has yet to be thoroughly analyzed. We aimed to characterize its various aspects, including demographics and HLA allele and haplotype frequencies, to evaluate the genetic matching propensity score and ultimately further develop it. We described and compared characteristics of the donor population with census data and used an Expectation-Maximization algorithm and analyses of molecular variance to assess haplotype frequencies and establish phylogenetic distances between regions and districts within the country. We identified 396545 donors, corresponding to 3.85% of the Portuguese population; the median donor age was 39 years, with 60.4% of female donors. Most donors were Portuguese nationals, although 40 other nationalities were present, with a significant proportion of donors from Brazil and Portuguese-speaking African Countries; almost all donors self-reported as Western, with the second largest group reporting African ancestry. There was an asymmetric contribution of donors from different districts and regions, with most coming from coastal districts and few from the southern districts and autonomous regions; foreign and self-declared non-Western donors were mainly located in the Metropolitan Area of Lisbon and the South. Although most donors were typed in three loci (HLA-A, HLA-B and HLA-DRB1), only 44% were also typed in HLA-C, 1.28% in HLA-DQB1 and only 0.77% in all five loci and in high-resolution. There were varying allele and haplotype frequencies across districts and regions, with the most common three loci, low-resolution haplotypes, being HLA-A*01~B*08~DRB1*03, A*29~B*44~DRB1*07 and HLA-A*02~B*44~DRB1*04; some haplotypes were more prevalent in the South, others in the North and a few in the autonomous regions; African and foreign donors presented relevant differences in haplotype frequency distributions, including rare haplotypes of potential interest. We also report on four loci, low-resolution frequency distributions. Using AMOVA, we compared genetic distances between districts and regions, which recapitulated the country's geography. Our analysis showed potential paths to optimization of the Registry, including increasing the male donor pool and focusing on underrepresented districts and particular populations of interest, such as donors from Portuguese-speaking African countries.

Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study.

IgA nephropathy (IgAN) is an autoimmune disorder which is believed to be non-monogenic. We performed an exome-wide association study of 70 children with IgAN and 637 healthy donors. The HLA allele frequencies were compared between the patients and healthy donors from the bone marrow registry of the Pirogov University. We tested 78,020 gene markers for association and performed functional enrichment analysis and transcription factor binding preference detection. We identified 333 genetic variants, employing three inheritance models. The most significant association with the disorder was observed for rs143409664 (PRAG1) in the case of the additive and dominant models (PBONF = 1.808 × 10-15 and PBONF = 1.654 × 10-15, respectively), and for rs13028230 (UBR3) in the case of the recessive model (PBONF = 1.545 × 10-9). Enrichment analysis indicated the strongly overrepresented "immune system" and "kidney development" terms. The HLA-DQA1*01:01:01G allele (p = 0.0076; OR, 2.021 [95% CI, 1.322-3.048]) was significantly the most frequent among IgAN patients. Here, we characterized, for the first time, the genetic background of Russian IgAN patients, identifying the risk alleles typical of the population. The most important signals were detected in previously undescribed loci.

Rare peptide anchors of HLA class I alleles contribute to the COVID-19 disease severity and T cell memory

Understanding how human leukocyte antigen (HLA) polymorphism affects both the susceptibility and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection will help to identify individuals at higher risk to better manage and prioritize vaccination at the clinical level and explain the differences in epidemic trends in different regions at the epidemiological level. This study compared the frequencies of HLA class I alleles (HLA-A, B) in 214 coronavirus disease 2019 (COVID-19) patients with different disease severity and 35 healthy controls and analyzed the correlations between specific HLA alleles and disease severity and T cell memory. The results showed no significant difference in HLA allele frequencies between COVID-19 patients and healthy controls (P > 0.05). The allele HLA-B*13:02 was significantly correlated with the disease severity of COVID-19 patients (P = 0.006). After adjustment for age and disease severity, the T cell responses of COVID-19 convalescents with the allele HLA-B*40:01 may be lower at six months (P = 0.044) and 12 months (P = 0.069). Moreover, these results may be due to their rare peptide anchors by analyzing the binding peptide motifs of these HLA alleles. The study may be valuable for investigating the potential association of specific HLA alleles with SARS-CoV-2 infection.

Frequency changes in HLA-I alleles: A marker to guide immunotherapy in lung adenocarcinoma patients and its relationship with tumor mutational burden and PD-L1 expression.

The aim of the study was to investigate differences in HLA-I alleles between lung adenocarcinoma patients and healthy controls and determine their association with PD-L1 expression and tumor mutational burden (TMB) to understand the mechanism underlying lung adenocarcinoma susceptibility. Differences in HLA allele frequencies between the two groups were analyzed in a case-control study. PD-L1 expression and TMB in lung adenocarcinoma patients were determined and their relationships with HLA-I were analyzed. The lung adenocarcinoma group showed significantly higher HLA-A*30:01 (p = 0.0067, odds ratio [OR], 1.834; 95% confidence interval [CI]: 1.176-2.860), B*13:02 (p = 0.0050, OR, 1.855; 95% CI: 1.217-2.829), and C*06:02 (p = 0.0260, OR, 1.478; 95% CI: 1.060-2.060) and significantly lower B*51:01 (p = 0.0290, OR, 0.6019; 95% CI: 0.3827-0.9467), and C*14:02 (p = 0.0255, OR, 0.5089; 95% CI: 0.2781-0.9312) than the control group. Haplotype analysis results showed that HLA-A*30:01-B*13:02 (p = 0.0100, OR, 1.909; 95% CI: 1.182-3.085), A*11:01-C*01:02 (p = 0.0056, OR, 1.909; 95% CI: 1.182-3.085), A*30:01-C*06:02 (p = 0.0111, OR, 1.846; 95% CI: 1.147-2.969), and B*13:02-C*06:02 (p = 0.0067, OR, 1.846; 95% CI: 1.147-2.969) frequencies significantly increased and B*51:01-C*14:02 (p = 0.0219, OR, 0.490; 95% CI: 0.263-0.914) frequency significantly decreased in lung adenocarcinoma patients. Three-locus haplotype analysis showed that HLA-A*30:01-B*13:02-C*06:02 frequency (p = 0.0100, OR, 1.909; 95% CI: 1.182-3.085) significantly increased in patients. HLA-A*30:01, B*13:02, and C*06:02 may be the susceptibility genes and HLA-B*51:01 and C*14:01 act as the resistance genes of lung adenocarcinoma. The changes in HLA-I allele frequencies had no association with PD-L1 expression and TMB among these patients.

Quantification of HLA Allele and Haplotype Frequencies in ALS and ALS-FTD (P8-8.005)

<h3>Objective:</h3> To explore the role of human leukocyte (HLA) alleles and haplotypes in pathophysiology of amyotrophic lateral sclerosis (ALS) and ALS-frontotemporal dementia (ALS-FTD). <h3>Background:</h3> HLA antigens modulate immune responses and cellular function and thus could serve as a link between neurodegeneration and immune dysfunction noted in ALS and ALS-FTD. A recent meta-analysis revealed increased frequency of B*35 in ALS albeit in studies with small sample sizes. HLA allele combinations such as ancestral haplotype AH8.1 (A*01/Cw*07/B*08/DRB1*03/DQA1*05/DQB1*02) may also play a role in immune-mediated diseases. <h3>Design/Methods:</h3> RNA-Seq data from ALS spinal cord tissue (174 subjects, 348 total alleles), ALS-FTD (22 subjects, 44 total alleles), and non-neurological control (44 subjects, 88 total alleles) was obtained from the NY Genome Center and genotyped for HLA class I and class II genes using the “arcasHLA” tool. Allele and haplotype frequencies were calculated. Fisher’s exact test was employed for statistical analysis. <h3>Results:</h3> Compared to controls, the frequency of B*35 in ALS (8.9% vs 2.3%, p=0.04) and ALS-FTD (13.6% vs 2.3%, p=0.02) was increased. DPB1*04 in ALS (37.1% vs 52.3%, p=0.01) was decreased. AH8.1 haplotype was more frequent in ALS (14.9% vs 6.8%, p=0.22), as was haplotype A*03/B*35/C*04/DPB1*04/DQA1*01 (8.1% vs 0.0%, p=0.08). No significant gender differences were found in the analysis. 100% of AH8.1 and A*03/B*35/C*04/DPB1*04/DQA1*01 haplotypes were of predominantly European ancestry. <h3>Conclusions:</h3> The increased frequency of the B*35 allele in ALS and ALS-FTD patients may be important as it causes ER stress and unfolded protein response which is implicated in ALS pathophysiology. B*35 along with C*04 have been implicated with rapid HIV/AIDS progression and are both components of the A*03/B*35/C*04/DPB1*04/DQA1*01 haplotype increased in ALS. Given the suspected role of endogenous retroviruses in ALS, this may be pertinent. The pathophysiological role of these haplotypes requires further investigation. <b>Disclosure:</b> Dr. Pandya has nothing to disclose. Kory Johnson, 2962 has nothing to disclose. Dr. Phatnani has nothing to disclose. Dr. Nath has received personal compensation in the range of $10,000-$49,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Elsevier. The institution of Dr. Nath has received research support from National Institutes of Health. The institution of Dr. Nath has received research support from ALS Association.

Prediction of Putative Epitope Peptides against BaeR Associated with TCS Adaptation in Acinetobacter baumannii Using an In Silico Approach

Background and Objectives: The BaeR protein is involved in the adaptation system of A. baumannii and is associated with virulence factors responsible for systemic infections in hospitalized patients. This study was conducted to characterize putative epitope peptides for the design of vaccines against BaeR protein, using an immune-informatic approach. Materials and Methods: FASTA sequences of BaeR from five different strains of A. baumannii were retrieved from the UNIPROT database and evaluated for their antigenicity, allergenicity and vaccine properties using BepiPred, Vaxijen, AlgPred, AntigenPro and SolPro. Their physio-chemical properties were assessed using the Expasy Protparam server. Immuno-dominant B-cell and T-cell epitope peptides were predicted using the IEDB database and MHC cluster server with a final assessment of their interactions with TLR-2. Results: A final selection of two peptide sequences (36aa and 22aa) was made from the 38 antigenic peptides. E1 was considered a soluble, non-allergenic antigen, and possessed negative GRAVY values, substantiating the hydrophilic nature of the proteins. Further analysis on the T-cell epitopes, class I immunogenicity and HLA allele frequencies yielded T-cell immuno-dominant peptides. The protein-peptide interactions of the TLR-2 receptor showed good similarity scores in terms of the high number of hydrogen bonds compared to other protein-peptide interactions. Conclusions: The two epitopes predicted from BaeR in the present investigation are promising vaccine candidates for targeting the TCS of A. baumannii in systemic and nosocomial infections. This study also demonstrates an alternative strategy to tackling and mitigating MDR strains of A. baumannii and provides a useful reference for the design and construction of novel vaccine candidates against this bacteria.

Prediction of celiac disease associated epitopes and motifs in a protein.

Celiac disease (CD) is an autoimmune gastrointestinal disorder causes immune-mediated enteropathy against gluten. Gluten immunogenic peptides have the potential to trigger immune responses which leads to damage the small intestine. HLA-DQ2/DQ8 are major alleles that bind to epitope/antigenic region of gluten and induce celiac disease. There is a need to identify CD associated epitopes in protein-based foods and therapeutics. In this study, computational tools have been developed to predict CD associated epitopes and motifs. Dataset used for training, testing and evaluation contain experimentally validated CD associated and non-CD associate peptides. We perform positional analysis to identify the most significant position of an amino acid residue in the peptide and checked the frequency of HLA alleles. We also compute amino acid composition to develop machine learning based models. We also developed ensemble method that combines motif-based approach and machine learning based models. Our analysis support existing hypothesis that proline (P) and glutamine (Q) are highly abundant in CD associated peptides. A model based on density of P&Q in peptides has been developed for predicting CD associated peptides which achieve maximum AUROC 0.98 on independent data. We discovered motifs (e.g., QPF, QPQ, PYP) which occurs specifically in CD associated peptides. We also developed machine learning based models using peptide composition and achieved maximum AUROC 0.99. Finally, we developed ensemble method that combines motif-based approach and machine learning based models. The ensemble model-predict CD associated motifs with 100% accuracy on an independent dataset, not used for training. Finally, the best models and motifs has been integrated in a web server and standalone software package "CDpred". We hope this server anticipate the scientific community for the prediction, designing and scanning of CD associated peptides as well as CD associated motifs in a protein/peptide sequence (https://webs.iiitd.edu.in/raghava/cdpred/).

Distributions of the HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 alleles and haplotype frequencies of 1763 stem cell donors in the Colombian Bone Marrow Registry typed by next-generation sequencing.

The HLA compatibility continues to be the main limitation when finding compatible donors, especially if an identical match is not found within the patient's family group. The creation of bone marrow registries allowed a therapeutic option by identifying 10/10 compatible unrelated donors (URD). However, the availability and frequency of haplotypes and HLA alleles are different among ethnic groups and geographical areas, increasing the difficulty of finding identical matches in international registries. In this study, the HLA-A, -B, -C, -DRB1, and -DQB1 loci of 1763 donors registered in the Colombian Bone Marrow Registry were typed by next-generation sequencing. A total of 52 HLA-A, 111 HLA-B, 41 HLA-C, 47 HLA-DRB1, and 20 HLA-DQB1 alleles were identified. The 3 most frequent alleles for each loci were A*24:02g (20,8%), A*02:01g (16,1%), A*01:01g (7.06%); B*35:43g (7.69%), B*40:02g (7.18%), B*44:03g (6.07%); C*04:01g (15.40%), C*01:02g (10.49%), C*07:02g (10.44%); DRB1*04:07g (11.03%), DRB1*07:01g (9.78%), DRB1*08:02g (6.72%); DQB1*03:02g (20.96%), DQB1*03:01g (17.78%) and DQB1*02:01g (16.05%). A total of 497 HLA-A-C-B-DRB1-DQB1 haplotypes were observed with a frequency greater than or equal to 0.05% (> 0.05%); the haplotypes with the highest frequency were A*24:02g~B*35:43g~C*01:02g~DQB1*03:02g~DRB1*04:07g (3.34%), A*29:02g~B*44:03g~C*16:01g~DQB1*02:01g~DRB1*07:01g (2.04%), and A*01:01g~B*08:01g~C*07:01g~DQB1*02:01g~DRB1*03:01g (1.83%). This data will allow the new Colombian Bone Marrow Donor Registry to assess the genetic heterogeneity of the Colombian population and serve as a tool of interest for future searches of unrelated donors in the country.