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Dataset Information

Gene Expression Risk Scores for COVID-19 Illness Severity.


ABSTRACT:

Background

The correlates of COVID-19 illness severity following infection with SARS-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 non-severe COVID.

Results

Gene expression patterns in participants with mild and moderate illness were similar, but significantly different from severe illness. When comparing severe versus non-severe illness, we identified >4000 genes differentially expressed (FDR<0.05). Biological pathways increased in severe COVID-19 were a

SUBMITTER: Peterson DR 

PROVIDER: S-EPMC8404885 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature