FIELD: medicine.
SUBSTANCE: invention relates to the field of medicine, in particular to molecular genetic diagnostics, and can be used to assess the risk of developing a severe form of COVID-19. Biological material is collected, genomic DNA is isolated, alleles of the HLA-A and HLA-C genes are genotyped, and the risk of developing severe form of COVID-19 is predicted based on the data obtained. The results of genotyping are processed using the method of principal components. For each allele, the values of the 2nd and 3rd main components of the HLA-A gene and the values of the 4th main component of the HLA-C gene are determined from the database (DB) of alleles of the HLA-A, HLA-C genes, previously determined for the population that includes the individual under study, and containing the values of the mentioned main components of alleles of the corresponding genes. All values of the principle components are added. The value of the received amount is normalized, the threshold value is determined. The risk of severe form of COVID-19 predicted when a normalized sum value is obtained above the threshold value.
EFFECT: method makes it possible to increase accuracy of predictive estimates of the risk of developing a severe form of COVID-19 for people aged from 35 to 60 years by forming a database of alleles of the HLA-A, HLA-C genes with the values of the main components, which is then used to assess the risk of developing a severe form of COVID-19 in a particular patient, as well as using the HLA genotype data of patients who died from COVID-19 at the age of 60 years and older than 60 years, which significantly affects the accuracy of the obtained estimates.
8 cl, 1 dwg, 3 ex
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Authors
Dates
2021-04-26—Published
2021-02-14—Filed