Evidence map›Paper›PMID 41814526›Full record

ArticleImmunity, inflammation and disease2026

Investigating the Impact of Host Genetics on the Risk of Disease Progression in Individuals With Influenza.

Sara Bohnstedt Mørup, Maja Milojevic, Seyed Mahmood Taghavi Shahri, Brad T Sherman, Weizhong Chang, Ruth Lynfield, Marie Helleberg, Melissa Skeans, Lars Østergaard, Line Borgwardt and 14 more

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

Sara Bohnstedt MørupCentre of Excellence for Health, Immunity and Infections (CHIP) and INSIGHT Copenhagen ICC, Copenhagen, Denmark.
Maja MilojevicCentre of Excellence for Health, Immunity and Infections (CHIP) and INSIGHT Copenhagen ICC, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-8248-8884
Seyed Mahmood Taghavi ShahriCentre of Excellence for Health, Immunity and Infections (CHIP) and INSIGHT Copenhagen ICC, Copenhagen, Denmark.
Brad T ShermanLaboratory of Human Retrovirology and lmmunoinformatics, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Weizhong ChangLaboratory of Human Retrovirology and lmmunoinformatics, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Ruth LynfieldMinnesota Department of Health, Saint Paul, Minnesota, USA.
Marie HellebergCentre of Excellence for Health, Immunity and Infections (CHIP) and INSIGHT Copenhagen ICC, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-2370-1657
Melissa SkeansDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Lars ØstergaardDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Line BorgwardtCenter for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Norman GerryAdvanced Biomedical Labs (ABML), Cinnaminson, New Jersey, USA.
Marcelo LossoHospital General de Agudos JM Ramos Mejia, Buenos Aires, Argentina.
Kenneth BaillieBaillie Gifford Pandemic Science Hub, Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK.
Richard DaveyNational Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA.
Dominic E DwyerDepartment of Virology, Centre for Infectious Diseases and Microbiology, Westmead Hospital and University of Sydney, Westmead, New South Wales, Australia.
Chansavath PhetsouphanhThe Kirby Institute, UNSW, Sydney, Australia.
Vasileios PapastamopoulosEvangelismos Hospital, Athens, Greece.
Richard M NovakSection of Infectious Diseases, University of Illinois at Chicago, Chicago, Illinois, USA.
Daniel D MurrayCentre of Excellence for Health, Immunity and Infections (CHIP) and INSIGHT Copenhagen ICC, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-8501-8661
Joanne ReekieCentre of Excellence for Health, Immunity and Infections (CHIP) and INSIGHT Copenhagen ICC, Copenhagen, Denmark.
Jens D LundgrenCentre of Excellence for Health, Immunity and Infections (CHIP) and INSIGHT Copenhagen ICC, Copenhagen, Denmark.
H Clifford LaneNational Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA.
Cavan ReillyDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
INSIGHT FLU 002 Plus and FLU 003 Plus Study Groups

Funding

Danish National Research Foundation DNRF126NCI/NIAID 003NCI/NIAID 18X107CNCI NIH HHS HHSN261200800001ENCI NIH HHS HHSN261201500003INIHNIH HHSSubcontract 13XS134
6 · The paper itself

Abstract

backgroundKnowledge of the human genetic contribution to the risk of complications from influenza is limited. This study assessed the association between human single-nucleotide polymorphisms (SNPs) and disease progression in individuals with influenza.

methodsA targeted analysis of 10 SNPs with prior evidence in COVID-19 and a genome-wide association study (GWAS) were used to assess associations between SNPs and disease progression in two multinational cohorts with suspected or laboratory-confirmed influenza: a hospitalized cohort (n = 1634) and a pooled cohort of hospitalized and outpatients (n = 3469). Disease progression was defined as prolonged hospitalization (> 28 days), progression to mechanical ventilation, admittance to intensive care unit, or death (for hospitalized individuals) or progression to hospitalization or death (for outpatients).

resultsDisease progression was observed in 9.1% of hospitalized patients and 2.2% of outpatients. Age was a significant risk factor for disease progression, with 20% increased odds of disease progression per 10-year increase in age (OR: 1.20, 95%CI: 1.08-1.33, p < 0.001). Disease progression rates also differed by continent (p < 0.0001). Targeted SNP analyses did not identify significant associations with disease progression; however, the strength of associations was most pronounced in sensitivity analyses for the pooled cohort in individuals < 65 years old. GWAS analyses did not identify significant common SNP associations in either the hospitalized or pooled cohorts, nor in sensitivity analysis of (1) individuals with laboratory-confirmed influenza and (2) those aged < 65 years.

conclusionIn a geographically diverse cohort of individuals with influenza, the genetic links to disease progression only started to become evident in the sensitivity analyses, mainly when looking at younger individuals. The power to detect associations was limited by the rate of disease progression and heterogeneity in phenotypes of the individuals studied, and therefore, additional studies focused on the role of genetics in influenza disease progression are needed.

Indexed as

Influenza, HumanPolymorphism, Single NucleotideAdolescentAdultAgedChildCohort StudiesDisease ProgressionFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHospitalizationHumansMaleMiddle AgedRisk FactorsGWAShost geneticssevere influenzaSNP‐microarraytargeted analyses

Identifiers

PMID41814526
PMCPMC13098070

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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.