4.7 Article

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

Journal

EMERGING MICROBES & INFECTIONS
Volume 10, Issue 1, Pages 123-131

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/22221751.2020.1870412

Keywords

host disease severity; whole genome sequencing; hypoxia inducible factor-1; interferon gamma

Funding

  1. Shenzhen Science and Technology Program [KQTD20180411143323605]
  2. National Science Fund for Distinguished Young Scholars [81525017]
  3. National key research and development program [2016YFC1200202, 2016YFC1200203]
  4. National Mega-projects for Infectious Diseases [2018ZX10305409004-003]
  5. 4th Three-year Action Plan for Public Health of Shanghai [15GWZK0101]

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The study used a host-based whole genome sequencing method to explore genetic risk loci associated with severity of influenza A(H1N1)pdm09 infection. It identified abnormal nominally significant common SNVs enriched in the PTBP3 gene and suggested novel candidate genes such as FTSJ3, CPVL, BST2, NOD2, and MAVS may confer risk of severe influenza A(H1N1)pdm09 diseases. Gene set based analysis indicated the HIF-1 transcription factor and IFN-gamma pathway could play an important role in the underlying mechanism of severe influenza A(H1N1)pdm09.
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 x 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-gamma 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.

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