Article ; Online: COVID-19: The Effect of Host Genetic Variations on Host-Virus Interactions.
2020 Volume 20, Issue 1, Page(s) 139–153
Abstract: Spurred into action by the COVID-19 pandemic, the global scientific community has, in a short of period of time, made astonishing progress in understanding and combating COVID-19. Given the known human protein machinery for (a) SARS-CoV-2 entry, (b) the ... ...
Abstract | Spurred into action by the COVID-19 pandemic, the global scientific community has, in a short of period of time, made astonishing progress in understanding and combating COVID-19. Given the known human protein machinery for (a) SARS-CoV-2 entry, (b) the host innate immune response, and (c) virus-host interactions (protein-protein and RNA-protein), the potential effects of human genetic variation in this machinery, which may contribute to clinical differences in SARS-CoV-2 pathogenesis and help determine individual risk for COVID-19 infection, are explored. The Genome Aggregation Database (gnomAD) was used to show that several |
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MeSH term(s) | Angiotensin-Converting Enzyme 2/chemistry ; Angiotensin-Converting Enzyme 2/genetics ; Angiotensin-Converting Enzyme 2/metabolism ; COVID-19/genetics ; COVID-19/immunology ; Genetic Variation ; Host-Pathogen Interactions/genetics ; Humans ; Immunity, Innate/genetics ; Quantitative Trait Loci ; RNA, Viral/metabolism ; SARS-CoV-2/pathogenicity ; Toll-Like Receptor 3/genetics ; Toll-Like Receptor 7/genetics ; Virus Internalization |
Chemical Substances | RNA, Viral ; TLR3 protein, human ; TLR7 protein, human ; Toll-Like Receptor 3 ; Toll-Like Receptor 7 ; ACE2 protein, human (EC 3.4.17.23) ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23) |
Language | English |
Publishing date | 2020-12-10 |
Publishing country | United States |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Review |
ZDB-ID | 2078618-9 |
ISSN | 1535-3907 ; 1535-3893 |
ISSN (online) | 1535-3907 |
ISSN | 1535-3893 |
DOI | 10.1021/acs.jproteome.0c00637 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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