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Updated: Oct 22, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
Published on: November 5, 2021
Variants in SARS-CoV-2 associated with mild or severe outcome.
Jameson D Voss1, Martin Skarzynski2, Erin M McAuley2
1US Air Force Medical Readiness Agency, Falls Church, VA 22042, USA.
Common severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic variants significantly predict COVID-19 severity. Public health strategies should target these variants to control severe disease and transmission chains.
Area of Science:
- Genomics
- Virology
- Epidemiology
Background:
- The COVID-19 pandemic remains a global health crisis.
- Understanding genetic factors influencing disease severity is crucial.
Purpose of the Study:
- To determine if SARS-CoV-2 genomic variants improve COVID-19 severity prediction.
- To identify specific variants associated with patient outcomes.
Main Methods:
- Analyzed 3,637 SARS-CoV-2 genomes with outcome data from GISAID.
- Used logistic regression to assess variant impact on severity prediction.
- Evaluated variant association magnitude and frequency.
Main Results:
- Genomic variants significantly improved severity prediction (AUC 0.91 vs. 0.68).
- Identified 84 variants with >2-fold odds of severity.
- 85% of genomes harbored at least one outcome-associated variant.
Conclusions:
- Numerous SARS-CoV-2 variants are common and associated with mild or severe outcomes.
- Public health measures should prioritize controlling severe COVID-19 manifestations and transmission.
- Genomic surveillance can inform targeted interventions.
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