Evidence map›Paper›PMID 34166232›Full record

ArticleThe Journal of clinical investigation2021

Association of rare predicted loss-of-function variants of influenza-related type I IFN genes with critical COVID-19 pneumonia.

Qian Zhang, Aurélie Cobat, Paul Bastard, Luigi D Notarangelo, Helen C Su, Laurent Abel, Jean-Laurent Casanova, COVID Human Genetic Effort (CHGE)

Abstract readLetterComment
In one paragraph

Article in The Journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. The human genetic epidemiology of COVID-19.Nature reviews. Genetics · 2022
    Review
  6. Review
  7. Review
  8. Review
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  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Qian ZhangSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.
Aurélie CobatSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.
Paul BastardLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.
Luigi D NotarangeloLaboratory of Clinical Immunology and Microbiology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID) and.
Helen C SuLaboratory of Clinical Immunology and Microbiology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID) and.
Laurent AbelSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.
Jean-Laurent CasanovaSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.
COVID Human Genetic Effort (CHGE)

Funding

Host factors contributing to susceptibility to COVID-19 diseaseZIAAI001265 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI SU, HELEN CHUN-HUI · 2020 to 2025
$9.5M
Monogenic basis of resistance to SARS-CoV2 and predisposition to severe COVID-19R01AI088364 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI Jean-Laurent Casanova, Shen-Ying Zhang · 2010 to 2026
$8.7M
Characterization of host immune responses to SARS-CoV-2ZIAAI001270 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NOTARANGELO, LUIGI · 2020 to 2025
$1.2M
NIAID NIH HHS R01 AI088364
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Influenza, HumanInterferon Type IHumansSARS-CoV-2Interferon Type IGenetic variationInfectious disease

Identifiers

PMID34166232
PMCPMC8321559

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.