Computational network analysis of host genetic risk variants of severe COVID-19.

ABSTRACT:

Background

Genome-wide association studies have identified numerous human host genetic risk variants that play a substantial role in the host immune response to SARS-CoV-2. Although these genetic risk variants significantly increase the severity of COVID-19, their influence on body systems is poorly understood. Therefore, we aim to interpret the biological mechanisms and pathways associated with the genetic risk factors and immune responses in severe COVID-19. We perform a deep analysis of previously identified risk variants and infer the hidden interactions between their molecular networks through disease mapping and the similarity of the molecular functions between constructed networks.

Results

We designed a four-stage computational workflow for systematic genetic analysis

SUBMITTER: Alsaedi SB 

PROVIDER: S-EPMC9977643 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature