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Dataset Information

Gene Expression Risk Scores for COVID-19 Illness Severity.


ABSTRACT:

Background

The correlates of coronavirus disease 2019 (COVID-19) illness severity following infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are incompletely understood.

Methods

We assessed peripheral blood gene expression in 53 adults with confirmed SARS-CoV-2 infection clinically adjudicated as having mild, moderate, or severe disease. Supervised principal components analysis was used to build a weighted gene expression risk score (WGERS) to discriminate between severe and nonsevere COVID-19.

Results

Gene expression patterns in participants with mild and moderate illness were similar, but significantly different from severe illness. When comparing severe versus nonsevere illness, we identified >4000 genes differentially expressed (false di

SUBMITTER: Peterson DR 

PROVIDER: S-EPMC8767880 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature