Evidence map›Paper›PMID 36553571›Full record

ArticleGenes2022

Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal.

Shur-Jen Wang, Kent C Brodie, Jeffrey L De Pons, Wendy M Demos, Adam C Gibson, G Thomas Hayman, Morgan L Hill, Mary L Kaldunski, Logan Lamers, Stanley J F Laulederkind and 10 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 1 institution in 1 country.

Shur-Jen WangThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0001-5256-8683
Kent C BrodieClinical and Translational Science Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-9984-3619
Jeffrey L De PonsThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Wendy M DemosThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-8037-076X
Adam C GibsonThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
G Thomas HaymanThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-9553-7227
Morgan L HillThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Mary L KaldunskiThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Logan LamersThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Stanley J F LaulederkindThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Harika S NalaboluThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Jyothi ThotaThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Ketaki ThoratThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Marek A TutajThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Monika TutajThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Mahima VediThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Stacy ZacherFinance and Administration, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Jennifer R SmithThe Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-6443-9376
Melinda R DwinellThe Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Anne E KwitekThe Rat Genome Database, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0003-1024-4116
Medical College of Wisconsin · US

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
Text mining in the CloudU24HG010859 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAROL J BULT, PAUL Warren STERNBERG · 2019 to 2026
$42.0M
NHGRI NIH HHS U24 HG010859NHLBI NIH HHS R01 HL064541
6 · The paper itself

Abstract

The COVID-19 pandemic stemmed a parallel upsurge in the scientific literature about SARS-CoV-2 infection and its health burden. The Rat Genome Database (RGD) created a COVID-19 Disease Portal to leverage information from the scientific literature. In the COVID-19 Portal, gene-disease associations are established by manual curation of PubMed literature. The portal contains data for nine ontologies related to COVID-19, an embedded enrichment analysis tool, as well as links to a toolkit. Using these information and tools, we performed analyses on the curated COVID-19 disease genes. As expected, Disease Ontology enrichment analysis showed that the COVID-19 gene set is highly enriched with coronavirus infectious disease and related diseases. However, other less related diseases were also highly enriched, such as liver and rheumatic diseases. Using the comparison heatmap tool, we found nearly 60 percent of the COVID-19 genes were associated with nervous system disease and 40 percent were associated with gastrointestinal disease. Our analysis confirms the role of the immune system in COVID-19 pathogenesis as shown by substantial enrichment of immune system related Gene Ontology terms. The information in RGD's COVID-19 disease portal can generate new hypotheses to potentiate novel therapies and prevention of acute and long-term complications of COVID-19.

Indexed as

COVID-19Nervous System DiseasesAnimalsHumansOligopeptidesPandemicsRatsSARS-CoV-2Oligopeptidesbiological knowledgebaseCOVID-19databasedisease enrichmentgene set enrichmentliver disease

Identifiers

PMID36553571
PMCPMC9777590
OpenAlexW4311784386

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.