Evidence map›Paper›PMID 36379742›Full record

ArticleTrends in genetics : TIG2023

Host genetic variability and determinants of severe COVID-19.

Patrick Brest, Baharia Mograbi, Jocelyn Gal, Paul Hofman, Gerard Milano

Abstract read
In one paragraph

Article in Trends in genetics : TIG, 2023. 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
–field-weighted citation impact
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.

  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

5 authors.

Patrick BrestUniversité Côte d'Azur, Institute of Research on Cancer and Aging in Nice (IRCAN), Centre Antoine Lacassagne, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération Hospitalo-Universitaire (FHU) OncoAge, F-06189 Nice, France. Electronic address: patrick.brest@univ-cotedazur.fr.
Baharia MograbiUniversité Côte d'Azur, Institute of Research on Cancer and Aging in Nice (IRCAN), Centre Antoine Lacassagne, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération Hospitalo-Universitaire (FHU) OncoAge, F-06189 Nice, France.
Jocelyn GalUniversity Côte d'Azur, Centre Antoine Lacassagne, Epidemiology and Biostatistics Department, 33 avenue de Valombrose, F-06189 Nice, France.
Paul HofmanUniversité Côte d'Azur, Institute of Research on Cancer and Aging in Nice (IRCAN), Centre Antoine Lacassagne, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération Hospitalo-Universitaire (FHU) OncoAge, F-06189 Nice, France; Université Côte d'Azur, Centre Hospitalier Universitaire (CHU) de Nice, Laboratory of Clinical and Experimental Pathology, FHUOncoAge, Hospital-Integrated Biobank (BB-0033-00025), F-06001 Nice, France.
Gerard MilanoCentre Antoine Lacassagne, Service de Valorisation Scientifique, F-06100 Nice, France. Electronic address: gerard.milano@nice.unicancer.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak, convergent studies have provided evidence that host genetic background may contribute to the development of severe coronavirus disease (COVID-19). Here, we summarize how some genetic variations, such as in SARS-CoV-2 receptor angiotensin-converting enzyme 2 or interferon signaling pathway, may help to understand why some individuals can develop severe COVID-19.

Indexed as

COVID-19SARS-CoV-2HumansPeptidyl-Dipeptidase APeptidyl-Dipeptidase AACE2COVID-19germinal geneticsinterferonSARS-CoV-2

Identifiers

PMID36379742
PMCPMC9652763

What OpenQuestion holds

Textmetadata
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.