ArticleThe Journal of infectious diseases2017
IFITM3, TLR3, and CD55 Gene SNPs and Cumulative Genetic Risks for Severe Outcomes in Chinese Patients With H7N9/H1N1pdm09 Influenza.
Article in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
43 citing papers in PubMed, 4 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Interferon-induced transmembrane protein 3 gene polymorphisms are associated with COVID-19 susceptibility and severity: A meta-analysis.The Journal of infection · 2022Pooled it
- Systematic review of host genetic association with Covid-19 prognosis and susceptibility: What have we learned in 2020?Reviews in medical virology · 2022Pooled it
- A systematic review and meta-analysis of host genetic factors associated with influenza severity.BMC genomics · 2021Pooled it
- Seroprevalence of H7N9 infection among humans: A systematic review and meta-analysis.Influenza and other respiratory viruses · 2020Pooled it
- Dual roles for influenza A protein PA-X: limiting inflammatory response and disrupting MHC I antigen presentation in human respiratory epithelium.bioRxiv : the preprint server for biology · 2026Article
- IFITM3 deficiency drives SARS-CoV-2 adaptation while preserving variant-specific traits.Nature communications · 2026Article
- Review
- Exploring Clinical and Imaging Differences in COVID-19: an Observational Approach to the IFITM3 rs12252 Polymorphism.International journal of general medicine · 2025Article
- Evaluation of intranasal TLR2/6 agonist INNA-051: safety, tolerability and proof of pharmacology.ERJ open research · 2024Article
- Defining the balance between optimal immunity and immunopathology in influenza virus infection.Nature reviews. Immunology · 2024Review
- Host Innate Antiviral Response to Influenza A Virus Infection: From Viral Sensing to Antagonism and Escape.Pathogens (Basel, Switzerland) · 2024Review
- Review
- Influenza Virus Host Restriction Factors: The ISGs and Non-ISGs.Pathogens (Basel, Switzerland) · 2024Review
- Anti-influenza A virus restriction factors that shape the human species barrier and virus evolution.PLoS pathogens · 2023Article
- Article
- NFκB1 Polymorphisms Are Associated with Severe Influenza A (H1N1) Virus Infection in a Canadian Population.Microorganisms · 2022Article
- Influenza virus replication in cardiomyocytes drives heart dysfunction and fibrosis.Science advances · 2022Article
- No Association between Single Nucleotide Polymorphisms (SNPs) of the Interferon-Induced Transmembrane Protein 3 (Medicina (Kaunas, Lithuania) · 2021Article
- Article
- A natural variant in ANP32B impairs influenza virus replication in human cells.The Journal of general virology · 2021Article
Corrections and comments
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Authors and funding
19 authors at 2 institutions in 1 country.
Funding
Abstract
Background: We examined associations between single-nucleotide polymorphisms (SNPs) of IFITM3, TLR3, and CD55 genes and influenza clinical outcomes in Chinese. Methods: A multicenter study was conducted on 275 adult cases of avian (H7N9) and pandemic (H1N1pdm09) influenza. Host DNA was extracted from diagnostic respiratory samples; IFITM3 rs12252, TLR3 rs5743313, CD55 rs2564978, and TLR4 rs4986790/4986791 were targeted for genotyping (Sanger sequencing). The primary outcome analyzed was death. Results: IFITM3 and TLR3 SNPs were in Hardy-Weinberg equilibrium; their allele frequencies (IFITM3/C-allele 0.56, TLR3/C-allele 0.88) were comparable to 1000 Genomes Han Chinese data. We found over-representation of homozygous IFITM3 CC (54.5% vs 33.2%; P = .02) and TLR3 CC (93.3% vs 76.9%; P = .04) genotypes among fatal cases. Recessive genetic models showed their significant independent associations with higher death risks (adjusted hazard ratio [aHR] 2.78, 95% confidence interval [CI] 1.29-6.02, and aHR 4.85, 95% CI 1.11-21.06, respectively). Cumulative effects were found (aHR 3.53, 95% CI 1.64-7.59 per risk genotype; aHR 9.99, 95% CI 1.27-78.59 with both). Results were consistent for each influenza subtype and other severity indicators. The CD55 TT genotype was linked to severity. TLR4 was nonpolymorphic. Conclusions: Host genetic factors may influence clinical outcomes of avian and pandemic influenza infections. Such findings have important implications on disease burden and patient care in at-risk populations.
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