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1.
HLA ; 103(5): e15519, 2024 May.
Article En | MEDLINE | ID: mdl-38721702

HLA-A*01:454 and HLA-A*31:229, two novel HLA-A alleles detected during routine typing by next-generation sequencing.


Alleles , Exons , HLA-A Antigens , High-Throughput Nucleotide Sequencing , Histocompatibility Testing , Humans , HLA-A Antigens/genetics , Sequence Analysis, DNA/methods , HLA-A1 Antigen/genetics , Base Sequence
3.
HLA ; 103(4): e15486, 2024 Apr.
Article En | MEDLINE | ID: mdl-38625040

A single nucleotide substitution in exon 5 of HLA-A*30:01:01:01 results in the novel HLA-A*30:01:22 allele.


HLA-A Antigens , Nucleotides , Humans , Alleles , Saudi Arabia , Exons/genetics , HLA-A Antigens/genetics
4.
Neurol Neuroimmunol Neuroinflamm ; 11(3): e200221, 2024 May.
Article En | MEDLINE | ID: mdl-38579189

BACKGROUND AND OBJECTIVES: Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis is a rare autoimmune neurologic disorder, the genetic etiology of which remains poorly understood. Our study aims to investigate the genetic basis of this disease in the Chinese Han population. METHODS: We performed a genome-wide association study and fine-mapping study within the major histocompatibility complex (MHC) region of 413 Chinese patients with anti-NMDAR encephalitis recruited from 6 large tertiary hospitals and 7,127 healthy controls. RESULTS: Our genome-wide association analysis identified a strong association at the IFIH1 locus on chromosome 2q24.2 (rs3747517, p = 1.06 × 10-8, OR = 1.55, 95% CI, 1.34-1.80), outside of the human leukocyte antigen (HLA) region. Furthermore, through a fine-mapping study of the MHC region, we discovered associations for 3 specific HLA class I and II alleles. Notably, HLA-DQB1*05:02 (p = 1.43 × 10-12; OR, 2.10; 95% CI 1.70-2.59) demonstrates the strongest association among classical HLA alleles, closely followed by HLA-A*11:01 (p = 4.36 × 10-7; OR, 1.52; 95% CI 1.29-1.79) and HLA-A*02:07 (p = 1.28 × 10-8; OR, 1.87; 95% CI 1.50-2.31). In addition, we uncovered 2 main HLA amino acid variation associated with anti-NMDAR encephalitis including HLA-DQß1-126H (p = 1.43 × 10-12; OR, 2.10; 95% CI 1.70-2.59), exhibiting a predisposing effect, and HLA-B-97R (p = 3.40 × 10-8; OR, 0.63; 95% CI 0.53-0.74), conferring a protective effect. Computational docking analysis suggested a close relationship between the NR1 subunit of NMDAR and DQB1*05:02. DISCUSSION: Our findings indicate that genetic variation in IFIH1, involved in the type I interferon signaling pathway and innate immunity, along with variations in the HLA class I and class II genes, has substantial implications for the susceptibility to anti-NMDAR encephalitis in the Chinese Han population.


Anti-N-Methyl-D-Aspartate Receptor Encephalitis , HLA-DQ beta-Chains , Interferon-Induced Helicase, IFIH1 , Humans , Anti-N-Methyl-D-Aspartate Receptor Encephalitis/genetics , Genome-Wide Association Study , Histocompatibility Antigens Class I/genetics , Histocompatibility Antigens Class II/genetics , HLA-A Antigens/genetics , HLA-DQ beta-Chains/genetics , Interferon-Induced Helicase, IFIH1/genetics
5.
HLA ; 103(4): e15406, 2024 Apr.
Article En | MEDLINE | ID: mdl-38568116

The novel allele HLA-A*36:14 differs from HLA-A*36:01:01:01 by one non-synonymous nucleotide substitution in exon 4.


HLA-A Antigens , Nucleotides , Humans , Alleles , Exons/genetics , Sequence Analysis, DNA , HLA-A Antigens/genetics
6.
Rev Alerg Mex ; 71(1): 66, 2024 Feb 01.
Article Es | MEDLINE | ID: mdl-38683083

OBJECTIVE: This study aimed to establish the association between HLA-A, B, DR genotypes and gastrointestinal variables in patients with SpA without inflammatory bowel disease (IBD). METHODS: Retrospective study of 91 patients with SpA and 401 healthy controls, with typing by Illumina Sequencing/PacBio and LIFECODES HLA-PCR/SSO multiplex sequencing technology. The presence of gastrointestinal symptoms was evaluated by administering a survey, and those who presented 2 or more symptoms were taken for clinical evaluation by rheumatology and gastroenterology, colonoscopy and histopathological study. (Ethics committee approval). RESULTS: The 59,3% of the patients were men, with a mean age of 43,9±11.4 years; 80,2% were classified as ankylosing spondylitis. 14, 28 and 19 genotypes for the HLA-A*, HLA-B* and HLA-DR* loci were identified in both groups, of which a relationship with gastrointestinal symptoms was identified: A*26, A*29 and B*27 were associated to abdominal pain, DRB1*11 and DRB1*16 with abdominal distention, A*30, B*38, DRB1*13 and DRB1*14 with weight loss, B*40 with diarrhea >4 weeks, and presence of mucus in the stools with A*02 and DRB1*11 (p<0.05). Furthermore, the presence of B*15 had a statistical relationship with intolerance to some food, highlighting the B*27 genotype in relation to grains and dairy products, A*23 with grains, vegetables and meats, and B*49 with vegetables and dairy (p<0.05). Regarding the endoscopic variables, macroscopic changes were found in the ileum mucosa related to A*02, B*48, DRB1*14 and the relationship between B*27 and ulcers at this level should be highlighted. Macroscopic changes in the sigmoid colon with B*48 and the rectum with A*30. In microscopic changes, inflammatory alterations of the ileum are mentioned with genotypes DRB1*07, DRB1*13 and DRB1*14, a genotype that is related to changes in the ileum both endoscopically and histologically (p<0.05). CONCLUSIONS: These findings indicate a potential genetic predisposition related to HLA genotypes that may increase the likelihood of food intolerance, gastrointestinal symptoms, and even visible and microscopic changes, specifically in the ileal tissue. The study highlights the presence of B*27 and other noteworthy HLA class I and class II genes (such as DRB1*14) in the diverse Colombian population.


OBJETIVO: Establecer la asociación entre genotipos HLA-A, B, DR y variables gastrointestinales en pacientes con EspA, sin enfermedad inflamatoria intestinal (EII). MÉTODOS: Estudio retrospectivo de 91 pacientes con EspA y 401 controles sanos, con tipificación por tecnología de secuenciación Illumina Sequencing/PacBio, y LIFECODES HLA-PCR/SSO multiplex. Se evaluó la presencia de síntomas gastrointestinales por aplicación de una encuesta, y, aquellos que presentaran dos o más síntomas, fueron llevados a valoración clínica por reumatología y gastroenterología, colonoscopia y estudio histopatológico. (Aprobación del Comité de Ética, HMC, 2022 - 2020). RESULTADOS: El 59,3% de los pacientes fueron hombres, con edad media de 43,9 ± 11,4 años. El 80,2% se clasificó como espondilitis anquilosante. Se identificaron en ambos grupos 14, 28 y 19 genotipos para los loci HLA-A*, HLA-B* y HLA-DR*, de los cuales se identificó relación con síntomas gastrointestinales: A*26, A*29 y B*27, con dolor abdominal; DRB1*11 y DRB1*16, con distensión abdominal; A*30, B*38, DRB1*13 y DRB1*14, con pérdida de peso; B*40, con diarrea >4 semanas y presencia de moco en las deposiciones con A*2 y DRB1*11 (p<0,05). Además, la presencia de B*15, tuvo relación estadística con intolerancia a algún tipo de alimento, a resaltar el genotipo B*27, en relación con granos y lácteos; A*23 con granos, verduras y carnes; y el B*49, con verduras y lácteos (p<0,05). Frente a las variables endoscópicas, se encontraron cambios macroscópicos en la mucosa de íleon relacionados con A*02, B*48, DRB1*14 y, a destacar, la relación B*27 con úlceras a este nivel. Cambios macroscópicos en colon sigmoides con B*48 y en recto con A*30. En cambios microscópicos, se mencionan alteraciones inflamatorias de íleon con genotipos DRB1*07, DRB1*13 y DRB1*14, genotipos que se relaciona a cambios en íleon tanto endoscópica e histológicamente (p<0,05). CONCLUSIONES: Estos resultados sugieren una posible susceptibilidad genética asociada al HLA, con genotipos que pueden predisponer a intolerancia alimentaria, síntomas gastrointestinales, e incluso, a cambios macroscópicos e histológicos, particularmente en tejido de íleon, entre los cuales está presente el B*27, pero resaltan otros interesantes en HLA clase I, como clase II (DRB1*14), en una población de alto mestizaje como la colombiana.


Gastrointestinal Diseases , Genotype , Spondylarthritis , Humans , Male , Female , Adult , Retrospective Studies , Gastrointestinal Diseases/genetics , Gastrointestinal Diseases/etiology , Spondylarthritis/genetics , Spondylarthritis/complications , Middle Aged , Inflammatory Bowel Diseases/genetics , Inflammatory Bowel Diseases/complications , HLA Antigens/genetics , HLA-A Antigens/genetics , HLA-B Antigens/genetics
7.
HLA ; 103(4): e15408, 2024 Apr.
Article En | MEDLINE | ID: mdl-38575359

The novel allele HLA-A*30:01:23 differs from HLA-A*30:01:01:01 by one synonymous nucleotide substitution in exon 2.


HLA-A Antigens , Nucleotides , Humans , Alleles , Exons/genetics , Sequence Analysis, DNA , HLA-A Antigens/genetics
9.
HLA ; 103(3): e15442, 2024 Mar.
Article En | MEDLINE | ID: mdl-38488733

HLA-A*11:463 has one nucleotide change from HLA-A*11:01:01:01 at nucleotide 508 changing Lysine (146) to Glutamine.


HLA-A Antigens , Nucleotides , Humans , Male , Base Sequence , Alleles , HLA-A Antigens/genetics , China , Fathers , Sequence Analysis, DNA
10.
Virus Res ; 343: 199355, 2024 May.
Article En | MEDLINE | ID: mdl-38490580

Influenza viruses are notorious for their capacity to evade host immunity. Not only can they evade recognition by virus-neutralizing antibodies, there is also evidence that they accumulate mutations in epitopes recognized by virus-specific CD8+T cells. In addition, we have shown previously that human influenza A viruses were less well recognized than avian influenza viruses by CD8+T cells directed to the highly conserved, HLA-A*02:01 restricted M158-66 epitope located in the Matrix 1 (M1) protein. Amino acid differences at residues outside the epitope were responsible for the differential recognition, and it was hypothesized that this reflected immune adaptation of human influenza viruses to selective pressure exerted by M158-66-specific CD8+T cells in the human population. In the present study, we tested this hypothesis and investigated if selective pressure exerted by M158-66 epitope-specific CD8+T cells could drive mutations at the extra-epitopic residues in vitro. To this end, isogenic influenza A viruses with the M1 gene of a human or an avian influenza virus were serially passaged in human lung epithelial A549 cells that transgenically express the HLA-A*02:01 molecule or not, in the presence or absence of M158-66 epitope-specific CD8+T cells. Especially in the virus with the M1 gene of an avian influenza virus, variants emerged with mutations at the extra-epitopic residues associated with reduced recognition by M158-66-specific T cells as detected by Next Generation Sequencing. Although the emergence of these variants was observed in the absence of selective pressure exerted by M158-66 epitope-specific CD8+T cells, their proportion was much larger in the presence of this selective pressure.


Fluprednisolone/analogs & derivatives , Influenza A virus , Influenza in Birds , Animals , Humans , Amino Acid Substitution , Epitopes, T-Lymphocyte , CD8-Positive T-Lymphocytes , Influenza A virus/genetics , HLA-A Antigens/genetics , HLA-A Antigens/metabolism
11.
Nihon Yakurigaku Zasshi ; 159(2): 90-95, 2024.
Article Ja | MEDLINE | ID: mdl-38432925

Pharmacogenetic testing benefits patients by predicting drug efficacy and risk of adverse drug reactions (ADRs). Pharmacogenetic biomarkers useful in clinical practice include drug-metabolizing enzyme and drug transporter genes and human leukocyte antigen (HLA) genes. HLA genes, which are important molecules involved in human immunity, have long been analyzed for associations with ADRs, such as skin rash, drug-induced liver injury, and agranulocytosis. HLA is composed of many genes, each of which has dozens of different types (alleles), and many HLA alleles associated with ADRs have been reported. The odds ratios in the association of HLA alleles range from approximately 5 to several thousand, indicating a very large impact on the risk of ADRs. Thus, HLA genetic testing prior to initiation of drug therapy is expected to make a significant contribution to avoiding ADRs, but to demonstrate the clinical utility, it is necessary to prospectively show the effects of medical interventions based on the test results. We conducted the GENCAT study, a prospective, multicenter, single-arm clinical trial to investigate the impact of a therapeutic intervention based on the HLA-A*31:01 test on the incidence of carbamazepine-induced skin rash. HLA-A*31:01-positive patients were treated with an alternative drug such as valproic acid, and the study showed an approximately 60% reduction in the incidence of carbamazepine-induced skin rash. It is expected that the genetic test, which has demonstrated clinical utility, will lead to the establishment of safer and more appropriate stratified medicine by reflecting the information in clinical practice guidelines.


Drug-Related Side Effects and Adverse Reactions , Exanthema , Humans , Pharmacogenomic Testing , Prospective Studies , Drug-Related Side Effects and Adverse Reactions/genetics , Drug-Related Side Effects and Adverse Reactions/prevention & control , Carbamazepine/adverse effects , HLA-A Antigens/genetics
12.
HLA ; 103(3): e15426, 2024 Mar.
Article En | MEDLINE | ID: mdl-38433707

HLA-A*01:01:01:112 differs from the HLA-A*01:01:01:01 allele by one nucleotide substitution in the 5'UTR.


Bone Marrow , HLA-A Antigens , Humans , Alleles , Greece , 5' Untranslated Regions , HLA-A Antigens/genetics
13.
Zhonghua Yi Xue Za Zhi ; 104(11): 834-842, 2024 Mar 19.
Article Zh | MEDLINE | ID: mdl-38462359

Objective: To establish prediction models for human leukocyte antigen (HLA) haplotypes and HLA genotypes, and verify the prediction accuracy. Methods: The prediction models were established based on the characteristic of HLA haplotype inheritance and linkage disequilibrium (LD), as well as the invention patents and software copyrights obtained. The models include algorithm and reference databases such as HLA A-C-B-DRB1-DQB1 high-resolution haplotypes database, B-C and DRB1-DQB1 LD database, G group alleles table, and NMDP Code alleles table. The prediction algorithm involves data processing, comparison with reference data, filtering results, probability calculation and ranking, confidence degree estimation, and output of prediction results. The accuracy of the predictions was verified by comparing them with the correct results, and the relationship between prediction accuracy and the probability distribution and confidence degree of the predicted results was analyzed. Results: The HLA haplotypes and genotypes prediction models were established. The prediction algorithm included the prediction of A-C-B-DRB1-DQB1 haplotypes according to HLA-A, B, DRB1, C, DQB1 genotypes, the prediction of C and DQB1 high-resolution results according to A, B and DRB1 high-resolution results, and the prediction of A, B, DRB1, C and DQB1 high resolution results according to the A, B and DRB1 intermediate or low resolution results. Validation results of "Predicting A-C-B-DRB1-DQB1 haplotypes basing on HLA-A, B, DRB1, C, DQB1 genotypes" model: for 787 data, the accuracy was 94.0% (740/787) with 740 correct predictions, 34 incorrect predictions, and 13 instances with no predicted results. For 847 data, the accuracy was 100% (847/847). The 2 411 and 2 594 haplotype combinations predicted from 787 and 847 data were grouped according to confidence degree, the accuracy was 100% (48/48, 114/114) for a confidence degree of 1, 96.2% (303/315) and 97.8% (409/418) for a confidence degree of 2 respectively. Validation results of "Predicting A, B, DRB1 and C, DQB1 high-resolution genotypes basing on HLA-A, B, DRB1 high, intermediate, or low resolution genotypes" model: when predicting C and DQB1 high resolution genotypes basing on A, B, and DRB1 high resolution genotypes, 89.3% (1 459/1 634) of the predictions were correct. The accuracy for the top 2 predicted probability (GPP) ranking was 79.2% (1 156/1 459), and for the top 10, it was 95.0% (1 386/1 459). Furthermore, when GPP≥90% and GPP 50%-90%, the prediction accuracy was 81.3% (209/257) and 72.8% (447/614) respectively. The accuracy of predicting C and DQB1 high resolution genotypes basing on the results of A, B, and DRB1 high resolution genotypes from the China Marrow Donor Program was 87.0% (20/23). The accuracy of predicting A, B, DRB1, C, and DQB1 high resolution genotypes basing on the results of A, B, and DRB1 intermediate or low-resolution genotypes was 70.0% (7/10) and 52.5% (21/40) respectively. When predicting whether the patient is likely to have a HLA 10/10 matched donor, the accuracy of the top 2 GPP combinations with a proportion of ≥50% was 85.7% (6/7). Conclusions: When using A, B, DRB1, C, DQB1 genotypes to predict A-C-B-DRB1-DQB1 haplotype combinations, the results with a confidence degree of 1 and 2 are reliable. When predicting C and DQB1 genotypes according to A, B and DRB1 genotypes, the top 10 results ranked by GPP are reliable, and the top 2 results with GPP≥50% are more reliable.


HLA-B Antigens , HLA-C Antigens , Humans , Haplotypes , HLA-B Antigens/genetics , HLA-C Antigens/genetics , Gene Frequency , HLA-DQ beta-Chains/genetics , HLA-DRB1 Chains/genetics , Histocompatibility Antigens Class I/genetics , Genotype , HLA-A Antigens/genetics , Alleles
14.
BMC Med Genomics ; 17(1): 65, 2024 Feb 29.
Article En | MEDLINE | ID: mdl-38424564

BACKGROUND: Estimation of HLA (Human leukocyte Antigen) alleles' frequencies in populations is essential to explore their ethnic origin. Anthropologic studies of central Tunisian population were rarely reported. Then, in this work, we aimed to explore the origin of central Tunisian population using HLA alleles and haplotypes frequencies. METHODS: HLA class I (A, B, C) and HLA class II (DRB1, DQA1, DQB1) loci genotyping of 272 healthy unrelated organ donors was performed by Polymerase Chain Reaction-Sequence Specific Oligonucleotide (PCR-SSO). We compared central Tunisians with other populations (Arabs, Berbers, Mediterraneans, Europeans, Africans, etc.) using alleles and haplotypes frequencies, genetic distances, Neighbour-Joining dendrogram and correspondence analysis. RESULTS: Among the 19 HLA A alleles, the 26 HLA B alleles, the 13 HLA C alleles, the 15 HLA DRB1 alleles, the 6 HLA DQA1 alleles and the 5 HLA DQB1 alleles identified in the studied population, HLA A*02 (22.8%), HLA B*50 (13.1%), HLA C*06 (21.8%), HLA DRB1*07 (17.8%), HLA DQA1*01 (32.1%) and HLA DQB1*03 (31.6%) were the most frequent alleles. The extended haplotypes HLA A*02-B*50-C*06-DRB1*07-DQA1*02-DQB1*02 (1.97%) was the most frequent HLA six-loci haplotype. CONCLUSION: Central Tunisians were very close to other Tunisian populations, to Iberians and North Africans. They were rather distant from sub-Saharan populations and eastern Mediterraneans especially Arabs although the strong cultural and religious impact of Arabs in this population.


HLA-C Antigens , North African People , Polymorphism, Genetic , Humans , Haplotypes , HLA-C Antigens/genetics , HLA-DRB1 Chains/genetics , Alleles , Gene Frequency , HLA-B Antigens/genetics , HLA-A Antigens/genetics
15.
HLA ; 103(2): e15362, 2024 Feb.
Article En | MEDLINE | ID: mdl-38299758

HLA-A*32:177 differs from HLA-A*32:01:01:01 by one nucleotide substitution in codon -16 in exon 1.


HLA-A Antigens , Nucleotides , Humans , Alleles , Exons/genetics , Sequence Analysis, DNA , HLA-A Antigens/genetics
16.
HLA ; 103(2): e15372, 2024 Feb.
Article En | MEDLINE | ID: mdl-38318957

HLA-A*02:1100 differs from HLA-A*02:01:01:01 by a single non-synonymous nucleotide substitution in codon 76 of exon 2.


Genomics , HLA-A Antigens , Humans , Base Sequence , Alleles , Sequence Analysis, DNA , HLA-A Antigens/genetics
17.
HLA ; 103(2): e15352, 2024 Feb.
Article En | MEDLINE | ID: mdl-38318784

Three novel HLA-A alleles HLA-A*02:1041Q, -A*02:1042, and -A*02:1043 alleles detected during routine next generation sequencing.


HLA-A Antigens , High-Throughput Nucleotide Sequencing , Humans , Alleles , HLA-A Antigens/genetics
18.
HLA ; 103(2): e15386, 2024 Feb.
Article En | MEDLINE | ID: mdl-38342852

Identification of novel HLA-A*23:128 allele generated by interlocus gene conversion in Brazilian bone marrow donor.


Bone Marrow , Gene Conversion , Humans , Brazil , Alleles , Tissue Donors , HLA-A Antigens/genetics
19.
HLA ; 103(2): e15382, 2024 Feb.
Article En | MEDLINE | ID: mdl-38358088

HLA-A*11:01:01:68 differs from HLA-A*11:01:01:01 by one nucleotide change in intron 3 at position 1474 (G > A).


HLA-A Antigens , Nucleotides , Humans , Alleles , Introns/genetics , HLA-A Antigens/genetics , High-Throughput Nucleotide Sequencing
20.
HLA ; 103(2): e15414, 2024 Feb.
Article En | MEDLINE | ID: mdl-38372625

Two nucleotide substitutions in exon 3 of HLA-A*02:07:01:01 result in the novel allele, HLA-A*02:840.


Asian People , HLA-A Antigens , Nucleotides , Humans , Alleles , Asian People/genetics , Exons/genetics , HLA-A Antigens/genetics , Taiwan
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