Your browser doesn't support javascript.
Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease.
Dolan, Mary E; Hill, David P; Mukherjee, Gaurab; McAndrews, Monica S; Chesler, Elissa J; Blake, Judith A.
  • Dolan ME; The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609, USA. mary.dolan@jax.org.
  • Hill DP; The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609, USA.
  • Mukherjee G; The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609, USA.
  • McAndrews MS; The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609, USA.
  • Chesler EJ; The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609, USA.
  • Blake JA; The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609, USA.
Sci Rep ; 10(1): 20848, 2020 11 30.
Article in English | MEDLINE | ID: covidwho-951959
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
The emergence of the SARS-CoV-2 virus and subsequent COVID-19 pandemic initiated intense research into the mechanisms of action for this virus. It was quickly noted that COVID-19 presents more seriously in conjunction with other human disease conditions such as hypertension, diabetes, and lung diseases. We conducted a bioinformatics analysis of COVID-19 comorbidity-associated gene sets, identifying genes and pathways shared among the comorbidities, and evaluated current knowledge about these genes and pathways as related to current information about SARS-CoV-2 infection. We performed our analysis using GeneWeaver (GW), Reactome, and several biomedical ontologies to represent and compare common COVID-19 comorbidities. Phenotypic analysis of shared genes revealed significant enrichment for immune system phenotypes and for cardiovascular-related phenotypes, which might point to alleles and phenotypes in mouse models that could be evaluated for clues to COVID-19 severity. Through pathway analysis, we identified enriched pathways shared by comorbidity datasets and datasets associated with SARS-CoV-2 infection.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Animals / Humans Language: English Journal: Sci Rep Year: 2020 Document Type: Article Affiliation country: S41598-020-77632-8

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Animals / Humans Language: English Journal: Sci Rep Year: 2020 Document Type: Article Affiliation country: S41598-020-77632-8