ArticleScientific reports2016
Multiple gene mutations identified in patients infected with influenza A (H7N9) virus.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Machine learning-based genome-wide association analysis to construct a clinical decision model for severe neonatal jaundice.Translational pediatrics · 2026Article
- Glucosidase alpha neutral C promotes influenza virus replication by inhibiting proteosome-dependent degradation of hemagglutinin.Signal transduction and targeted therapy · 2025Article
- Activating NKG2C Receptor: Functional Characteristics and Current Strategies in Clinical Applications.Archivum immunologiae et therapiae experimentalis · 2023Review
- Novel susceptibility loci for A(H7N9) infection identified by next generation sequencing and functional analysis.Scientific reports · 2020Article
- Deep sequencing of 2009 influenza A/H1N1 virus isolated from volunteer human challenge study participants and natural infections.Virology · 2019Article
- IFITM3: How genetics influence influenza infection demographically.Biomedical journal · 2019Review
- Article
- IFITM3, TLR3, and CD55 Gene SNPs and Cumulative Genetic Risks for Severe Outcomes in Chinese Patients With H7N9/H1N1pdm09 Influenza.The Journal of infectious diseases · 2017Article
- Epidemiological, clinical, and virologic features of two family clusters of avian influenza A (H7N9) virus infections in Southeast China.Scientific reports · 2017Article
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Authors and funding
19 authors at 9 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza A (H7N9) virus induced high mortality since 2013. It is important to elucidate the potential genetic variations that contribute to virus infection susceptibilities. In order to identify genetic mutations that might increase host susceptibility to infection, we performed exon sequencing and validated the SNPS by Sanger sequencing on 18 H7N9 patients. Blood samples were collected from 18 confirmed H7N9 patients. The genomic DNA was captured with the Agilent SureSelect Human All Exon kit, sequenced on the Illumina Hiseq 2000, and the resulting data processed and annotated with Genome analysis Tool. SNPs were verified by independent Sanger sequencing. The DAVID database and the DAPPLE database were used to do bioinformatics analysis. Through exon sequencing and Sanger sequencing, we identified 21 genes that were highly associated with H7N9 influenza infection. Protein-protein interaction analysis showed that direct interactions among genetic products were significantly higher than expected (p = 0.004), and DAVID analysis confirmed the defense-related functions of these genes. Gene mutation profiles of survived and non-survived patients were similar, suggesting some of genes identified in this study may be associated with H7N9 influenza susceptibility. Host specific genetic determinants of disease severity identified by this approach may provide new targets for the treatment of H7N9 influenza.
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