The Search For An Association Of Hla Alleles And COVID-19 Related Mortality In The Russian Population
Cheranev, V.; Bulusheva, I.; Vechorko, V. I.; Korostin, D.; Rebrikov, D. V.
Show abstract
HLA genes play a pivotal role in an immune response via the presentation of pathogen peptides in a complex on the surface of cells of a host organism. Here, we studied the association of class I and class II genes with the severity of COVID-19 infection and HLA allele variants. We performed high-resolution sequencing of class I and class II HLA genes using the sample population of 147 patients who died of COVID-19 and statistically compared our results with the frequencies of the HLA genotypes in a control population of 270 samples. The obtained data demonstrated that 51:05 and 15:18 alleles from locus B* are statistically significantly associated with COVID-19 severity, while C*14:02 allele correlates with the probability of death from COVID-19 for patients without comorbidities.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Investigation of HLA susceptibility alleles and genotypes with hematological disease among Chinese Han population 96%
- Revisiting the Association between Human Leukocyte Antigen and End-Stage Renal Disease 95%
- Association of ABO blood group with COVID-19 severity, acute phase reactants and mortality 95%
Similar papers in this journal
- Computing Skin Cutaneous Melanoma Outcome from the HLA-alleles and Clinical Characteristics 94%
- Genetic landscape of rare autoinflammatory disease variants in Qatar and Middle Eastern populations through the integration of whole-genome and exome datasets 94%
- The usage of human IGHJ genes follows a particular nonrandom selection: The recombination signal sequence affects the usage of human IGHJ genes 93%
Similar papers in this journal
- Structural variability, expression profile and pharmacogenetics properties of TMPRSS2 gene as a potential target for COVID-19 therapy 95%
- Integrating Bioinformatics and Artificial Intelligence Methods to identify disruptive STAT1 variants impacting Protein Stability and Function 94%
- Poking COVID-19: insights on genomic constraints among immune-related genes between Qatari and Italian populations 92%
Similar papers in this journal
- Expression levels of HLA-DRB and HLA-DQ are associated with MHC Class II haplotypes in healthy individuals and rheumatoid arthritis patients 96%
- Association of HLA class I genotypes with age at death of COVID-19 patients 96%
- HLA-A*11:01:01:01, HLA*C*12:02:02:01-HLA-B*52:01:02:02, age and sex are associated with severity of Japanese COVID-19 with respiratory failure 95%
Similar papers in this journal
- Zika viral proteome analysis reveals an epitope cluster within NS3 helicase as a potential vaccine candidate: an in silico study 95%
- A Multiple Peptides Vaccine against nCOVID-19 Designed from the Nucleocapsid phosphoprotein (N) and Spike Glycoprotein (S) via the Immunoinformatics Approach 95%
- Finding Consensus miRNAs Silencing KLF1 Expression as A Promising Therapeutic Option of Sickle Cell Anemia 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.