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Using a population biobank to analyze genogeographic variability in Russia and globally for three polymorphisms associated with severe COVID-19

https://doi.org/10.15829/1728-8800-2025-4503

EDN: DKSGXD

Abstract

Aim. To study the genogeography of SNP markers associated with severe coronavirus disease 2019 (COVID-19) and identify patterns of their distribution in indigenous populations of Russia and worldwide. The frequency of genetic polymorphisms associated with COVID-19 complications varies across ethnic groups.

Material and methods. Using collections from the Biobank of the National Medical Research Center for Therapy and Preventive Medicine and the Biobank of Northern Eurasia, we determined the allele and geno­type frequencies of the NFKBIA, TLR3, and TMPRSS2 genes asso­ciated with COVID-19 complications. The analysis included our own data (4207 samples from 186 populations of 97 ethnic groups from Rus­sia and neighboring countries) and published data (3070 samples from 227 populations worldwide). The data were analyzed using bio­informatics, statistical, and cartographic methods.

Results. A high frequency of the "risky" GG homozygote of the NFKBIA marker (rs696) was detected in Russian populations (0,55), with an in­creasing trend from west to east across the widest range as follows: from 0,08 among the Izhorians in the northwest to 0,92 among the Evens in the Far East. The Russian population is characterized by high fre­quencies of alternative homozygotes of the TLR3 (rs3775291) and TMPRSS2 (rs2070788) polymorphisms, which are not associated with the risk of COVID-19 complications. The indigenous populations of Nort­hern Eurasia possess the greatest genetic diversity of any region in the world. At the same time, they are harmoniously integrated into the gene pool of the Eurasian continent, and the Russian Far East is a tran­sition zone to the gene pool of the indigenous populations of North America.

Conclusion. A study of genogeographic variation makes it possible us to identify regions of Russia and the world for which the analyzed DNA markers pose the greatest risk for severe COVID-19.

About the Authors

E. V. Balanovskaya
Bochkov Medical Genetics Research Center
Russian Federation

Moskvorechye, 1, Moscow, 115478



M. M. Voronina
Bochkov Medical Genetics Research Center
Russian Federation

Moskvorechye, 1, Moscow, 115478



G. Yu. Ponomarev
Bochkov Medical Genetics Research Center
Russian Federation

Moskvorechye, 1, Moscow, 115478



I. O. Gorin
Bochkov Medical Genetics Research Center
Russian Federation

Moskvorechye, 1, Moscow, 115478



A. L. Borisova
National Medical Research Center for Therapy and Preventive Medicine
Russian Federation

Petroverigsky Lane, 10, Moscow, 101990



M. S. Pokrovskaya
National Medical Research Center for Therapy and Preventive Medicine
Russian Federation

Petroverigsky Lane, 10, Moscow, 101990



S. M. Koshel
Lomonosov Moscow State University
Russian Federation

Leninskiye Gory, 1, Moscow, 119991



E. A. Pocheshkhova
Bochkov Medical Genetics Research Center; Kuban State Medical University
Russian Federation

Moskvorechye, 1, Moscow, 115478; Mitrofana Sedina str., 4, Krasnodar, 350063



D. S. Adamov
Bochkov Medical Genetics Research Center
Russian Federation

Moskvorechye, 1, Moscow, 115478



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Supplementary files

What is already known about the subject?

  • DNA markers have been shown to be associated with COVID-19 severity. Their frequencies vary among populations: mortality from COVID-19 can vary by up to twofold due to different frequencies of DNA markers.

What might this study add?

  • Genogeographic maps indicate regions of Russia and the world for which DNA markers of the NFKBIATLR3, and TMPRSS2 genes pose the greatest risk for severe COVID-19. The indigenous population of Northern Eurasia has the greatest genetic diversity of any region in the world. At the same time, it fits harmoniously into the Eurasian gene pool, and the Russian Far East is a transition zone to the gene pool of the indigenous population of North America.

Review

For citations:


Balanovskaya E.V., Voronina M.M., Ponomarev G.Yu., Gorin I.O., Borisova A.L., Pokrovskaya M.S., Koshel S.M., Pocheshkhova E.A., Adamov D.S. Using a population biobank to analyze genogeographic variability in Russia and globally for three polymorphisms associated with severe COVID-19. Cardiovascular Therapy and Prevention. 2025;24(11):4503. (In Russ.) https://doi.org/10.15829/1728-8800-2025-4503. EDN: DKSGXD

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ISSN 1728-8800 (Print)
ISSN 2619-0125 (Online)