Characterisation of two new HLA-A alleles: HLA-A*01:454 and HLA-A*31:229.

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

A bioinformatic analysis of T-cell epitope diversity in SARS-CoV-2 variants: association with COVID-19 clinical severity in the United States population.

Long-term immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the identification of T-cell epitopes affecting host immunogenicity. In this computational study, we explored the CD8+ epitope diversity estimated in 27 of the most common HLA-A and HLA-B alleles, representing most of the United States population. Analysis of 16 SARS-CoV-2 variants [B.1, Alpha (B.1.1.7), five Delta (AY.100, AY.25, AY.3, AY.3.1, AY.44), and nine Omicron (BA.1, BA.1.1, BA.2, BA.4, BA.5, BQ.1, BQ.1.1, XBB.1, XBB.1.5)] in analyzed MHC class I alleles revealed that SARS-CoV-2 CD8+ epitope conservation was estimated at 87.6%-96.5% in spike (S), 92.5%-99.6% in membrane (M), and 94.6%-99% in nucleocapsid (N). As the virus mutated, an increasing proportion of S epitopes experienced reduced predicted binding affinity: 70% of Omicron BQ.1-XBB.1.5 S epitopes experienced decreased predicted binding, as compared with ~3% and ~15% in the earlier strains Delta AY.100-AY.44 and Omicron BA.1-BA.5, respectively. Additionally, we identified several novel candidate HLA alleles that may be more susceptible to severe disease, notably HLA-A*32:01, HLA-A*26:01, and HLA-B*53:01, and relatively protected from disease, such as HLA-A*31:01, HLA-B*40:01, HLA-B*44:03, and HLA-B*57:01. Our findings support the hypothesis that viral genetic variation affecting CD8 T-cell epitope immunogenicity contributes to determining the clinical severity of acute COVID-19. Achieving long-term COVID-19 immunity will require an understanding of the relationship between T cells, SARS-CoV-2 variants, and host MHC class I genetics. This project is one of the first to explore the SARS-CoV-2 CD8+ epitope diversity that putatively impacts much of the United States population.

Human Leukocyte Antigen Alleles (HLA-A, HLA-B, and HLA-DRB1) are associated with Acute Lymphoblastic Leukemia (ALL) : A Case-Control Study in a Sample of Iranian Population.

OBJECTIVE: This study seeks to elucidate the association between HLA-A, HLA-B, and HLA-DRB1 alleles and their relative risk contributions to ALL within an Iranian cohort. METHODS: Utilizing a robust case-control design, this research involved 71 ALL patients and 71 age and sex-matched healthy individuals. Genotyping of specified HLA alleles was performed using the advanced PCR-SSP technique. RESULTS: Our findings reveal a marked increase in the prevalence of the HLA-DRB1*04 allele among patients diagnosed with ALL compared to the control group (P<0.027). Conversely, the alleles HLA-A*26 (P=0.025), HLA-A*33 (P=0.020), and HLA-DRB1*03 (P=0.035) were observed at significantly reduced frequencies within the patient population. CONCLUSION: Our findings highlight HLA-DRB1*04 as a potential genetic marker for increased susceptibility to ALL, while HLA-A*26, HLA-A*33, and HLA-DRB1*03 emerge as protective factors.

The novel HLA-A*36:14 allele characterised by two different sequencing-based typing techniques.

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

Genome-Wide Association Study Identifies IFIH1 and HLA-DQB1*05:02 Loci Associated With Anti-NMDAR Encephalitis.

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.

The novel HLA-A*30:01:23 allele characterised by two different sequencing-based typing techniques.

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

Two novel HLA class I alleles: HLA-A*02:1148 and HLA-B*44:386.

Identification of the novel HLA-A*02:1148 and HLA-B*44:386 alleles by next-generation sequencing.

Characterization of the novel HLA-A*31:01:53 allele by next generation sequencing in a Chinese individual.

HLA-A*31:01:53 differs from HLA-A*31:01:02:01 by one nucleotide change at nucleotide 900 in exon 5 from G to A.

[HLA genotypes associated with gastrointestinal symptoms in patients with spondyloarthritis without inflammatory bowel disease]. / Genotipos HLA asociados a síntomas gastrointestinales en pacientes con espondiloartritis sin enfermedad inflamatoria intestinal.

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.

Identification of the novel allele, HLA-A*30:01:22, in a Saudi individual.

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

Characterisation of the novel HLA-A*30:218 allele using two different sequencing technologies.

The novel HLA-A*30:218 allele, first described in a potential bone marrow donor from Brazil.

HLA allele frequency of HLA-A, -B, -C, -DRB1 and -DQB1 in Indian recurrent implantation failure and recurrent pregnancy loss couples - A retrospective study.

The maternal-fetal interaction has been hypothesized to involve the human leucocyte antigen (HLA). It has been suggested that excessive HLA antigen sharing between spouses is a mechanism causing maternal hyporesponsiveness to paternal antigens encountered during pregnancy and thus leading to a miscarriage. Participants in this retrospective study are RIF and RPL couples who visited Gunasheela Surgical and Maternity Hospital, Bangalore, India from November 2019 to September 2022. A total of 40 couples with RIF and 195 couples with RPL are included in the study. We observed that the DQB1*02:01:01 allele is associated with an increase in risk of both RIF and RPL, while the C*12:02:01 allele increases risk of only RPL. On the contrary, DQB1*02:02:01 and DQB1*06:03 alleles appear to be protective against both RPL and RIF. In addition, the C*07:02:01 allele was observed to be protective against RPL. In conclusion, C*12:02:01 and DQB1*02:01:01 could play a major role in RPL which is consistent with other studies, while DQB1*02:01:01 is the risk allele in our RIF group. The protective alleles C*07:02:01 in the RPL group, DQB1*02:02:01, and DQB1*06:03 in both RIF and RPL, were discovered for the first time. Allele frequencies will vary in population-based studies depending on the ethnicities of the cohort. Meta-analysis and antibody testing will provide additional insights on whether and how this data can be adopted into clinical practices.

[Pharmacogenetic testing for prevention of severe cutaneous adverse drug reactions].

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.

Discovery of the novel HLA-A*01:01:01:112 allele in a Greek volunteer bone marrow donor.

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

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.

[Establishment and validation of prediction models for human leukocyte antigen haplotypes and human leukocyte antigen genotypes].

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.

[Analysis of transfusion effect of different platelet matching schemes in patients with platelet transfusion refractoriness].

Objective: To analyze the transfusion effect of different platelet matching schemes in patients with platelet transfusion refractoriness (PTR). Methods: A total of 94 patients with PTR received by Taiyuan Blood Center from January to December 2021 were retrospectively analyzed, including 26 males and 68 females, aged 53(34,66) years. Platelet antibody screening was performed by enzyme-linked immunosorbent assay (ELISA). For patients with positive human leukocyte antigen (HLA) class Ⅰ antibodies, Luminex platform liquid chip assay was used to identify the specificity of antibodies, and platelets with missing allelic expression antigen corresponding to their specific antibodies were found in the platelet donor gene database established in our laboratory. For patients with negative class HLA-Ⅰ antibody screening, medium and high-resolution HLA-A and B alleles were genotyped by polymerase chain reaction restriction sequence specific oligonucleotide (PCR-SSO), and the compatible platelets were searched from the platelet donor gene database by HLA cross-reactive group genotype matching scheme or directly selected by serological cross-matching. The PCI compliance rate and total transfusion effective rate of different mismatch site groups and different matching scheme groups were statistically analyzed. Results: Platelet antibody was detected in 39 of 94 PTR patients with a positive rate of 41.5%, and all of them were HLA-Ⅰ antibodies, and 1 case was accompanied by human platelet antigen (HPA) antibody. A total of 134 times of compatible platelets were supplied to 39 patients with HLA-Ⅰ antibody positive by using antibody avoidance matching method. And the total effective rate of transfusion was 97.8% (131/134); The PCI compliance rates of HLA-A antigen mismatch, HLA-B antigen mismatch and HLA-A and B antigen mismatch groups were 81.6% (31/38), 86.5% (32/37) and 78.6% (22/28), respectively. The total effective rate of transfusion was 97.4% (37/38), 94.6% (35/37) and 100% (28/28), respectively, with no statistical significance (all P>0.05). A total of 118 times of compatible platelets were provided by HLA antigen cross-reaction group genotype matching and serological cross-matching, 90 transfusion effects were collected during follow-up, and the total effective rate was 76.7% (69/90). Conclusion: The combination of different platelet matching schemes can improve the PCI compliance rate and the total effective rate of transfusion in PTR patients.

[Pathogenetic analysis of transfusion-related acute lung injury caused by human leukocytes antigen antibody against human leukocyte antigen].

From September 2019 to October 2020, pathogenetic analysis of three patients clinically diagnosed as transfusion-related acute lung injury (TRALI) caused by human leukocyte antibodies was conducted by Guangzhou Blood Centre, including 2 males and 1 female, aged 56, 50 and 20 years old, respectively. Solid phase agglutination, anti-human globulin test and flow cytometry method were used to detect the presence of antibodies against patients. Sequencing-based human leukocyte antigen (HLA-SBT) typing technique was used to detect the human leukocyte antigen (HLA) genotypes of patients. Lifecodes single antigen class Ⅰ/Ⅱ kit (LSA-Ⅰ/Ⅱ) were used to detect the specificity of HLA-class Ⅰ and class Ⅱ antibodies in donor blood by Luminex 200 liquid suspension chip system. The HLA specific antibodies and corresponding epitopes in donors were also analyzed. The results showed that　HLA class Ⅰ or class Ⅱ specific antibodies against TRALI patients were detected in the blood donors. The plasma of donor 3 received by patient 1 contained antibodies against the patient's HLA-DRB1*09∶01 antigen, and the epitopes mediating the antibody reaction of the donor and recipient were 70R, 31I, 70QA. There were antibodies against the HLA-A*11∶02, HLA-A*11∶01, DRB1*12∶02, and DRB1*09∶01 antigens of patient 2 in the plasma of donor 4, and the associated antigenic epitopes were 151AHA, 57V, and 16Y. Antibodies against the HLA-DRB1*14∶04, DRB1*11∶01, and DPB1*05∶01 antigens of patient 3 were present in the plasma of donor 6 and donor 7, and the associated epitopes were 96HK, 140TV, 13SE, and 111K.　Three cases of TRALI were confirmed to be caused by HLA antibodies through laboratory analysis, and human leukocyte antibody detection should be paid attention in clinically suspected cases of TRALI, and targeted diagnosis and treatment should be given.

Immunogenetic Background of Chronic Lymphoproliferative Disorders in Romanian Patients-Case Control Study.

BACKGROUND AND OBJECTIVES: The implications of the genetic component in the initiation and development of chronic lymphoproliferative disorders have been the subject of intense research efforts. Some of the most important genes involved in the occurrence and evolution of these pathologies are the HLA genes. The aim of this study is to analyze, for the first time, possible associations between chronic lymphoproliferative diseases and certain HLA alleles in the Romanian population. MATERIALS AND METHODS: This study included 38 patients with chronic lymphoproliferative disorders, diagnosed between 2021 and 2022 at Fundeni Clinical Institute, Bucharest, Romania, and 50 healthy controls. HLA class I and class II genes (HLA-A/B/C, HLA-DQB1/DPB1/DRB1) were investigated by doing high resolution genotyping using sequence specific primers (SSP). RESULTS: Several HLA alleles were strongly associated with chronic lymphoproliferative disorders. The most important finding was that the HLA-C*02:02 (p = 0.002, OR = 1.101), and HLA-C*12:02 (p = 0.002, OR = 1.101) have a predisposing role in the development of chronic lymphoproliferative disorders. Moreover, we identified that HLA-A*11:01 (p = 0.01, OR = 0.16), HLA-B*35:02 (p = 0.037, OR = 0.94), HLA-B*81:01 (p = 0.037, OR = 0.94), HLA-C*07:02 (p = 0.036, OR = 0.34), HLA-DRB1*11:01 (p = 0.021, OR = 0.19), and HLA-DRB1*13:02 (p = 0.037, OR = 0.94), alleles have protective roles. CONCLUSIONS: Our study indicates that HLA-C*02:02 and HLA-C*12:02 are positively associated with chronic lymphoproliferative disorders for our Romanian patients while HLA-DRB1*11:01, HLA-DRB1*13:02, and HLA-B*35:02 alleles have a protective role against these diseases.