Evidence map›Paper›PMID 33243086›Full record

ArticlePharmacogenomics2020

Assessing COVID-19 susceptibility through analysis of the genetic and epigenetic diversity of ACE2-mediated SARS-CoV-2 entry.

Georgia Ragia, Vangelis G Manolopoulos

Open access · greenAbstract read
In one paragraph

Article in Pharmacogenomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Involvement of epigenetics in affecting host immunity during SARS-CoV-2 infection.Biochimica et biophysica acta. Molecular basis of disease · 2023
    Review
  3. Article
  4. Premenopausal and postmenopausal women during the COVID-19 pandemic.Przeglad menopauzalny = Menopause review · 2022
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Gender and genetic factors impacting COVID-19 severity.Journal of family medicine and primary care · 2021
    Review
  13. Review
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  15. Review
  16. Review
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

2 authors at 1 institution in 1 country.

Georgia RagiaLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, 68100, Greece.ORCID 0000-0002-2421-5677
Vangelis G ManolopoulosLaboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, 68100, Greece.ORCID 0000-0003-0849-5469
Democritus University of Thrace · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is considerable variation in disease course among individuals infected with SARS-CoV-2. Many of them do not exhibit any symptoms, while some others proceed to develop COVID-19; however, severity of COVID-19 symptoms greatly differs among individuals. Focusing on the early events related to SARS-CoV-2 entry to cells through the ACE2 pathway, we describe how variability in (epi)genetic factors can conceivably explain variability in disease course. We specifically focus on variations in

Indexed as

ADAM17 ProteinAngiotensin-Converting Enzyme 2COVID-19Epigenesis, GeneticFurinHumansMonomeric Clathrin Assembly ProteinsPrognosisReceptors, AndrogenRisk FactorsSARS-CoV-2Serine EndopeptidasesACE2 protein, humanADAM17 ProteinAngiotensin-Converting Enzyme 2FurinMonomeric Clathrin Assembly ProteinsPICALM protein, humanReceptors, AndrogenSerine EndopeptidasesTMPRSS2 protein, humanACE2ADAM-17COVID-19(epi)geneticsFURINgenetic classifierSARS-CoV-2TMPRSS2

Identifiers

PMID33243086
PMCPMC7694444
OpenAlexW3108152784

What OpenQuestion 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 OpenQuestion graph.