PropertyValue
?:abstract
  • It is critical to identify potential causal targets for SARS-CoV-2, which may guide drug repurposing options. We assessed the associations between genetically predicted protein levels and COVID-19 severity. Leveraging data from the COVID-19 Host Genetics Initiative comparing 6492 hospitalized COVID-19 patients and 1 012 809 controls, we identified 18 proteins with genetically predicted levels to be associated with COVID-19 severity at a false discovery rate of <0.05, including 12 that showed an association even after Bonferroni correction. Of the 18 proteins, 6 showed positive associations and 12 showed inverse associations. In conclusion, we identified 18 candidate proteins for COVID-19 severity.
is ?:annotates of
?:creator
?:doi
?:doi
  • 10.1093/infdis/jiaa660
?:journal
  • J_Infect_Dis
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/9afaa7570abaa941d8d7790f456022f37a0ddccb.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7797748.xml.json
?:pmcid
?:pmid
?:pmid
  • 33083826.0
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:sha_id
?:source
  • Medline; PMC
?:title
  • Associations Between Genetically Predicted Protein Levels and COVID-19 Severity
?:type
?:year
  • 2020-10-21

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