Back to search

Article

Identification of reactive CpGs and RNA expression in early COVID-19 through <i>cis</i> -eQTM analysis reflecting disease severity and recovery

2025-06-09

Abstract excerpt

Multi-omics analyses of severe COVID-19 cases are crucial in deciphering the complex interplay between genetic and epigenetic factors. Here, we present an analysis of Expression Quantitative Trait Methylation (eQTM) to investigate the complex interplay of methylation and gene expression pattern during the acute phase of severe COVID-19. We identified 16 differentially expressed genes and 30 nearby differentially m...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
aa5ce36b-739e-5e61-aeac-0c6c7b51340d
DOI
10.1101/2025.06.09.658549
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of reactive CpGs and RNA expression in early COVID-19 through <i>cis</i> -eQTM analysis reflecting disease severity and recoveryDOI 10.1101/2025.06.09.658549
Select a neighboring publication to make it the new centre.