A host-based whole genome sequencing study reveals novel risk loci associated with severity of influenza A(H1N1)pdm09 infection

Emerg Microbes Infect. 2021 Dec;10(1):123-131. doi: 10.1080/22221751.2020.1870412.

Abstract

Influenza A(H1N1)pdm09 virus has remained in a seasonal circulation since being recognized in 2009. Although it followed a mild course in most patients, in others it caused a series of severe clinical illnesses. Epidemiologic studies have implicated that host factors have a major influence on the disease severity of influenza A(H1N1)pdm09 infection. However, an understanding of relevant genetic variations and the underlying mechanisms is still limited. In this present study, we used a host-based whole genome sequencing (WGS) method to comprehensively explore the genetic risk loci associated with severity of influenza A(H1N1)pdm09 infection. From the common single-nucleotide variants (SNVs) analysis, we identified the abnormal nominally significant (P < 1 × 10-4) common SNVs enriched in PTBP3 gene. The results of rare functional SNVs analysis supported that there were several novel candidate genes might confer risk of severe influenza A(H1N1)pdm09 diseases, such as FTSJ3, CPVL, BST2, NOD2 and MAVS. Moreover, our results of gene set based analysis indicated that the HIF-1 transcription factor and IFN-γ pathway might play an important role in the underlying mechanism of severe influenza A(H1N1)pdm09. These findings will increase our knowledge about biological mechanism underlying the severe influenza A(H1N1)pdm09 and facilitate to design novel personalized treatments.

Keywords: Influenza A(H1N1)pdm09; host disease severity; hypoxia inducible factor-1; interferon gamma; whole genome sequencing.

MeSH terms

  • Child
  • Child, Preschool
  • Female
  • Gene Regulatory Networks*
  • Genetic Association Studies
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Infant
  • Influenza A Virus, H1N1 Subtype / pathogenicity*
  • Influenza, Human / genetics
  • Influenza, Human / virology*
  • Male
  • Polymorphism, Single Nucleotide*
  • Precision Medicine
  • Severity of Illness Index
  • Whole Genome Sequencing / methods*

Grants and funding

This work was supported by Shenzhen Science and Technology Program (KQTD20180411143323605), National Science Fund for Distinguished Young Scholars (81525017), National key research and development program (2016YFC1200202, 2016YFC1200203), National Mega-projects for Infectious Diseases (2018ZX10305409-004-003), the 4th Three-year Action Plan for Public Health of Shanghai (15GWZK0101).