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Associations Between Genetically Predicted Protein Levels and COVID-19 Severity.
Zhu, Jingjing; Wu, Chong; Wu, Lang.
  • Zhu J; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
  • Wu C; Department of Statistics, Florida State University, Tallahassee, Florida, USA.
  • Wu L; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
J Infect Dis ; 223(1): 19-22, 2021 01 04.
Article in English | MEDLINE | ID: covidwho-1117042
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Blood Proteins / Genetic Association Studies / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: J Infect Dis Year: 2021 Document Type: Article Affiliation country: Infdis

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Blood Proteins / Genetic Association Studies / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: J Infect Dis Year: 2021 Document Type: Article Affiliation country: Infdis