Drug genetic associations with COVID-19 manifestations: a data mining and network biology approach.

ABSTRACT: Available drugs have been used as an urgent attempt through clinical trials to minimize severe cases of hospitalizations with Coronavirus disease (COVID-19), however, there are limited data on common pharmacogenomics affecting concomitant medications response in patients with comorbidities. To identify the genomic determinants that influence COVID-19 susceptibility, we use a computational, statistical, and network biology approach to analyze relationships of ineffective concomitant medication with an adverse effect on patients. We statistically construct a pharmacogenetic/biomarker network with significant drug-gene interactions originating from gene-disease associations. Investigation of the predicted pharmacogenes encompassing the gene-disease-gene pharmacogenomics (PGx) network suggests

SUBMITTER: Charitou T 

PROVIDER: S-EPMC9517961 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature