Development of the Multiplex Genotyping Method of Single-Nucleotide Polymorphisms of Genes Associated with the Severity of COVID-19

World Health Organization, WHO COVID-19 dashboard. https://data.who.int/dashboards/covid19. Accessed February 1, 2025.

Kwok, A.J., Mentzer, A., and Knight, J.C., Host genetics and infectious disease: new tools, insights and translational opportunities, Nat. Rev. Genet., 2021, vol. 22, no. 3, pp. 137–153. https://doi.org/10.1038/s41576-020-00297-6

Article  PubMed  CAS  Google Scholar 

Huang, C., Wang, Y., Li, X., et al., Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, Lancet, 2020, vol. 395, no. 10223, pp. 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5

Article  PubMed  PubMed Central  CAS  Google Scholar 

Berlin, D.A., Gulick, R.M., and Martinez, F.J., Severe Covid-19, N. Engl. J. Med., 2020, vol. 383, no. 25, pp. 2451–2460. https://doi.org/10.1056/NEJMcp2009575

Article  PubMed  CAS  Google Scholar 

Li, J., Huang, D.Q., Zou, B., et al., Epidemiology of COVID-19: a systematic review and meta-analysis of clinical characteristics, risk factors, and outcomes, J. Med. Virol., 2021, vol. 93, no. 3, pp. 1449–1458. https://doi.org/10.1002/jmv.26424

Article  PubMed  CAS  Google Scholar 

Redin, C., Thorball, C.W., and Fellay, J., Host genomics of SARS-CoV-2 infection, Eur. J. Hum. Genet., 2022, vol. 30, no. 8, pp. 908–914. https://doi.org/10.1038/s41431-022-01136-4

Article  PubMed  PubMed Central  CAS  Google Scholar 

Ovsyannikova, I.G., Haralambieva, I.H., Crooke, S.N., et al., The role of host genetics in the immune response to SARS-CoV-2 and COVID-19 susceptibility and severity, Immunol. Rev., 2020, vol. 296, no. 1, pp. 205–219. https://doi.org/10.1111/imr.12897

Article  PubMed  PubMed Central  CAS  Google Scholar 

Velavan, T.P., Pallerla, S.R., Rüter, J., et al., Host genetic factors determining COVID-19 susceptibility and severity, eBioMedicine, 2021, vol. 72, p. 103629. https://doi.org/10.1016/j.ebiom.2021.103629

Article  PubMed  PubMed Central  CAS  Google Scholar 

Wang, Y., Schughart, K., Pelaia, T.M., et al., Blood transcriptome responses in patients correlate with severity of COVID-19 disease, Front. Immunol., 2023, vol. 13, p. 1043219. https://doi.org/10.3389/fimmu.2022.1043219

Article  PubMed  PubMed Central  CAS  Google Scholar 

Gupta, K., Kaur, G., Pathak, T., and Banerjee, I., Systematic review and meta-analysis of human genetic variants contributing to COVID-19 susceptibility and severity, Gene, 2022, vol. 844, p. 146790. https://doi.org/10.1016/j.gene.2022.146790

Article  PubMed  PubMed Central  CAS  Google Scholar 

Klaassen, K., Stankovic, B., Zukic, B., et al., Functional prediction and comparative population analysis of variants in genes for proteases and innate immunity related to SARS-CoV-2 infection, Infect. Genet. Evol., 2020, vol. 84, p. 104498. https://doi.org/10.1016/j.meegid.2020.104498

Article  PubMed  PubMed Central  CAS  Google Scholar 

Esteban, M.E., Pino, D., Romero-Lorca, A., et al., Worldwide distribution of genetic factors related to severity of COVID-19 infection, Ann. Hum. Biol., 2024, vol. 51, no. 1, p. 2366248. https://doi.org/10.1080/03014460.2024.2366248

Article  PubMed  Google Scholar 

Kerner, G. and Quintana-Murci, L., The genetic and evolutionary determinants of COVID-19 susceptibility, Eur. J. Hum. Genet., 2022, vol. 30. pp. 915–921. https://doi.org/10.1038/s41431-022-01141-7

Article  PubMed  PubMed Central  CAS  Google Scholar 

Sirugo, G., Williams, S.M., and Tishkoff, S.A., The missing diversity in human genetic studies, Cell, 2019, vol. 177, no. 1, pp. 26–31. https://doi.org/10.1016/j.cell.2019.04.032

Article  PubMed  PubMed Central  CAS  Google Scholar 

Balanovskaya, E.V., Gorin, I.O., Petrushenko, V.S., et al., Geographic distribution of the LZTFL1 SNP markers associated with severe COVID-19 in Russia and worldwide, Vestn. Ross. Gos. Med. Univ., 2022, no. 5, pp. 31–40. https://doi.org/10.24075/vrgmu.2022.047

GWAS Catalog. https://www.ebi.ac.uk/gwas/. Accessed February 2, 2025

Stepanov, V.A. and Trifonova, E.A., Multiplex SNP genotyping by MALDI-TOF mass spectrometry: frequencies of 56 immune response gene SNPs in human populations. Mol. Biol. (Moscow), 2013, vol. 47, no. 6, pp. 852–862. https://doi.org/10.1134/S0026893313060149

Article  CAS  Google Scholar 

Weir, B.S., Genetic Data Analysis: Method for Discrete Population Genetic Data, Sunderland: Sinauer Associates, 1990.

Google Scholar 

Triska, P., Chekanov, N., Stepanov, V., et al., Between Lake Baikal and the Baltic Sea: genomic history of the gateway to Europe, BMC Genet., 2017, vol. 18, suppl. 1, p. 110. https://doi.org/10.1186/s12863-017-0578-3

Article  PubMed  PubMed Central  CAS  Google Scholar 

Stepanov, V.A., Etnogenomika naseleniya Sibiri i Srednei Azii (Ethnogenomics of the Population of Siberia and Middle Asia), Tomsk: Pechatnaya Manufaktura, 2002.

COVID-19 Host Genetics Initiative, Mapping the human genetic architecture of COVID-19, Nature, 2021, vol. 600, no. 7889, pp. 472–477. https://doi.org/10.1038/s41586-021-03767-x

Article  CAS  Google Scholar 

Degenhardt, F., Ellinghaus, D., Juzenas, S., et al., Detailed stratified GWAS analysis for severe COVID-19 in four European populations, Hum. Mol. Genet., 2022, vol. 31, no. 23, pp. 3945–3966. https://doi.org/10.1093/hmg/ddac158

Article  PubMed  PubMed Central  CAS  Google Scholar 

Kousathanas, A., Pairo-Castineira, E., Rawlik, K., et al., Whole-genome sequencing reveals host factors underlying critical COVID-19, Nature, 2022, vol. 607, no. 7917, pp. 97–103. https://doi.org/10.1038/s41586-022-04576-6

Article  PubMed  PubMed Central  CAS  Google Scholar 

Pairo-Castineira, E., Rawlik, K., Bretherick, A.D., et al., GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19, Nature, 2023, no. 617, no. 7962, pp. 764–768. https://doi.org/10.1038/s41586-023-06034-3

Thibord, F., Chan, M.V., Chen, M.H., and Johnson, A.D., A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors, HGG Adv., 2022, vol. 3, no. 2, p. 100095. https://doi.org/10.1016/j.xhgg.2022.100095

Article  PubMed  PubMed Central  CAS  Google Scholar 

COVID-19 Host Genetics Initiative, A first update on mapping the human genetic architecture of COVID-19, Nature, 2022, vol. 608, no. 7921, pp. e1–e10. https://doi.org/10.1038/s41586-022-04826-7

Article  CAS  Google Scholar 

Li, Z., Dang, W., Hao, T., et al., Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis, Front. Psychiatry, 2023, vol. 14, p. 1144697. https://doi.org/10.3389/fpsyt.2023.1144697

Article  PubMed  PubMed Central  Google Scholar 

Pandit, R., Singh, I., Ansari, A., et al., First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome, Genomics, 2022, vol. 114, no. 4, p. 110399. https://doi.org/10.1016/j.ygeno.2022.110399

Article  PubMed  CAS  Google Scholar 

Słomian, D., Szyda, J., Dobosz, P., et al., Better safe than sorry—whole-genome sequencing indicates that missense variants are significant in susceptibility to COVID-19, PLoS One, 2023, vol. 18, no. 1, p. e279356. https://doi.org/10.1371/journal.pone.0279356

Article  CAS  Google Scholar 

Horowitz, J.E., Kosmicki, J.A., Damask, A., et al., Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease, Nat. Genet., 2022, vol. 54, no. 4, pp. 382–392. https://doi.org/10.1038/s41588-021-01006-7

Article  PubMed  PubMed Central  CAS  Google Scholar 

Zhao, X., Wu, X., Xiao, J., et al., A large-scale genome-wide cross-trait analysis for the effect of COVID-19 on female-specific cancers, Science, 2023, vol. 26, no. 9, p. 107497. https://doi.org/10.1016/j.isci.2023.107497

Article  CAS  Google Scholar 

Peloso, G.M., Tcheandjieu, C., McGeary, J.E., et al., Genetic loci associated with COVID-19 positivity and hospitalization in white, black, and Hispanic veterans of the VA Million Veteran Program, Front. Genet., 2022, vol. 12, p. 777076. https://doi.org/10.3389/fgene.2021.777076

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