Evidence map›Paper›PMID 33704002›Full record

ArticleEmerging microbes & infections2021

Role of ACE2 genetic polymorphisms in susceptibility to SARS-CoV-2 among highly exposed but non infected healthcare workers.

Javier Martínez-Sanz, Daniel Jiménez, Laura Martínez-Campelo, Raquel Cruz, Pilar Vizcarra, Matilde Sánchez-Conde, Raquel Ron, Mario Rodríguez, Sabina Herrera, Santiago Moreno and 2 more

Open access · goldAbstract readLetter
In one paragraph

Article in Emerging microbes & infections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Host factors of SARS-CoV-2 in infection, pathogenesis, and long-term effects.Frontiers in cellular and infection microbiology · 2024
    Review
  5. Predictive Factors andInternational journal of molecular sciences · 2023
    Article
  6. Review
  7. Genetic Associations with Coronavirus Susceptibility and Disease Severity.Advances in experimental medicine and biology · 2023
    Review
  8. Review
  9. Host polymorphisms and COVID-19 infection.Advances in clinical chemistry · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. 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

12 authors at 4 institutions in 1 country.

Javier Martínez-SanzDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.ORCID https://orcid.org/0000-0003-2020-3908
Daniel JiménezDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.ORCID https://orcid.org/0000-0001-5399-4473
Laura Martínez-CampeloCIBERER-Genomic Medicine Group, University of Santiago de Compostela, Santiago de Compostela, Spain.
Raquel CruzCIBERER-Genomic Medicine Group, University of Santiago de Compostela, Santiago de Compostela, Spain.
Pilar VizcarraDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.ORCID https://orcid.org/0000-0001-8553-6995
Matilde Sánchez-CondeDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.
Raquel RonDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.
Mario RodríguezDepartment of Microbiology, Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain.
Sabina HerreraDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.
Santiago MorenoDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.
María Rosa López-HuertasImmunopathology Unit, National Center of Microbiology, Institute of Health Carlos III, Madrid, Spain.
Sergio Serrano-VillarDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.
Universidad de Alcalá · ESUniversidade de Santiago de Compostela · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to evaluate the role of single-nucleotide polymorphisms of the angiotensin-converting enzyme 2 in susceptibility to SARS-CoV-2 infection. We included 28 uninfected but highly exposed healthcare workers and 39 hospitalized patients with COVID-19. Thirty-five SNPs were rationally selected. Two variants were associated with increased risk of being susceptible to SARS-CoV-2: the minor A allele in the rs2106806 variant (OR 3.75 [95% CI 1.23-11.43]) and the minor T allele in the rs6629110 variant (OR 3.39 [95% CI 1.09-10.56]). Evaluating the role of genetic variants in susceptibility to SARS-CoV-2 infection could help identify more vulnerable individuals and suggest potential drug targets for COVID-19 patients.

Indexed as

Genetic Predisposition to DiseaseHealth PersonnelPolymorphism, Single NucleotideSARS-CoV-2AdultAgedAged, 80 and overAngiotensin-Converting Enzyme 2COVID-19FemaleHumansMaleMiddle AgedACE2 protein, humanAngiotensin-Converting Enzyme 2COVID-19genetic variantsSARS-CoV-2single-nucleotide polymorphismsusceptibility

Identifiers

PMID33704002
PMCPMC7993370
OpenAlexW3134164084

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.