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10.1371/journal.pone.0238665

http://scihub22266oqcxt.onion/10.1371/journal.pone.0238665
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33497392!7837476!33497392
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suck abstract from ncbi


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pmid33497392      PLoS+One 2021 ; 16 (1): e0238665
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  • Generalized linear models provide a measure of virulence for specific mutations in SARS-CoV-2 strains #MMPMID33497392
  • Oulas A; Zanti M; Tomazou M; Zachariou M; Minadakis G; Bourdakou MM; Pavlidis P; Spyrou GM
  • PLoS One 2021[]; 16 (1): e0238665 PMID33497392show ga
  • This study aims to highlight SARS-COV-2 mutations which are associated with increased or decreased viral virulence. We utilize genetic data from all strains available from GISAID and countries' regional information, such as deaths and cases per million, as well as COVID-19-related public health austerity measure response times. Initial indications of selective advantage of specific mutations can be obtained from calculating their frequencies across viral strains. By applying modelling approaches, we provide additional information that is not evident from standard statistics or mutation frequencies alone. We therefore, propose a more precise way of selecting informative mutations. We highlight two interesting mutations found in genes N (P13L) and ORF3a (Q57H). The former appears to be significantly associated with decreased deaths and cases per million according to our models, while the latter shows an opposing association with decreased deaths and increased cases per million. Moreover, protein structure prediction tools show that the mutations infer conformational changes to the protein that significantly alter its structure when compared to the reference protein.
  • |COVID-19/transmission/*virology[MESH]
  • |Coronavirus Nucleocapsid Proteins/chemistry/*genetics[MESH]
  • |Geographic Information Systems[MESH]
  • |Humans[MESH]
  • |Linear Models[MESH]
  • |Mutation[MESH]
  • |Pandemics[MESH]
  • |Phosphoproteins/chemistry/genetics[MESH]
  • |Phylogeny[MESH]
  • |Polymorphism, Single Nucleotide[MESH]
  • |SARS-CoV-2/classification/*genetics/*pathogenicity[MESH]


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