Evidence map›Paper›PMID 34930124›Full record

SynthesisBMC genomics2021

A systematic review and meta-analysis of host genetic factors associated with influenza severity.

Nina Van Goethem, Célestin Danwang, Nathalie Bossuyt, Herman Van Oyen, Nancy H C Roosens, Annie Robert

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Nina Van GoethemScientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium. nina.vangoethem@sciensano.be.ORCID http://orcid.org/0000-0001-7316-6990
Célestin DanwangDepartment of Epidemiology and Biostatistics, Institut de Recherche Expérimentale et Clinique, Faculty of Public Health, Université Catholique de Louvain, Clos Chapelle-aux-champs 30, 1200, Brussels, Belgium.
Nathalie BossuytScientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium.
Herman Van OyenScientific Directorate of Epidemiology and Public Health, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium.
Nancy H C Roosens *Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, 1050, Brussels, Belgium.
Annie Robert *Department of Epidemiology and Biostatistics, Institut de Recherche Expérimentale et Clinique, Faculty of Public Health, Université Catholique de Louvain, Clos Chapelle-aux-champs 30, 1200, Brussels, Belgium.
Sciensano (Belgium) · BEUCLouvain · BEGhent University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe severity of influenza disease can range from mild symptoms to severe respiratory failure and can partly be explained by host genetic factors that predisposes the host to severe influenza. Here, we aimed to summarize the current state of evidence that host genetic variants play a role in the susceptibility to severe influenza infection by conducting a systematic review and performing a meta-analysis for all markers with at least three or more data entries.

resultsA total of 34 primary human genetic association studies were identified that investigated a total of 20 different genes. The only significant pooled ORs were retrieved for the rs12252 polymorphism: an overall OR of 1.52 (95% CI [1.06-2.17]) for the rs12252-C allele compared to the rs12252-T allele. A stratified analysis by ethnicity revealed opposite effects in different populations.

conclusionWith exception for the rs12252 polymorphism, we could not identify specific genetic polymorphisms to be associated with severe influenza infection in a pooled meta-analysis. This advocates for the use of large, hypothesis-free, genome-wide association studies that account for the polygenic nature and the interactions with other host, pathogen and environmental factors.

Indexed as

Influenza, HumanGenome-Wide Association StudyHumansAssociationInfluenza severitymeta-analysisPolymorphism

Identifiers

PMID34930124
PMCPMC8686082
OpenAlexW4200288509

What Socratic holds

Textmetadata
LicenceCC BY
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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.