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Related Experiment Video

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Author Spotlight: Advancements and Challenges in Hepatitis B Virus Detection
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GHOST: global hepatitis outbreak and surveillance technology.

Atkinson G Longmire1,2, Seth Sims1,3,2, Inna Rytsareva1

  • 1Molecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, USA.

BMC Genomics
|December 16, 2017
PubMed
Summary
This summary is machine-generated.

Global Hepatitis Outbreak and Surveillance Technology (GHOST) rapidly identifies Hepatitis C virus (HCV) transmission clusters. This cloud-based system provides accurate, reproducible data for public health interventions and outbreak investigations.

Keywords:
CloudHCVHVR1Liver cancerOutbreak detectionPublic healthSurveillanceThresholdTransmissionVirtual diagnostics

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Area of Science:

  • Public Health
  • Infectious Disease Epidemiology
  • Bioinformatics

Background:

  • Hepatitis C virus (HCV) infection poses a significant global public health challenge.
  • Investigating HCV outbreaks is complex, requiring efficient surveillance and case analysis.
  • A validated methodology for rapid, cost-effective identification of HCV transmission clusters was previously developed.

Purpose of the Study:

  • To present and evaluate the performance of algorithms within the Global Hepatitis Outbreak and Surveillance Technology (GHOST) system.
  • To demonstrate GHOST's capability in analyzing next-generation sequencing data for HCV transmission cluster detection.
  • To highlight GHOST's utility as a user-friendly tool for public health professionals.

Main Methods:

  • Utilized next-generation sequencing data from hypervariable region 1 of HCV strains.
  • Applied GHOST algorithms to analyze sequencing data from experimentally prepared libraries.
  • Assessed system performance using genetically related and unrelated HCV strains, including known transmission pairs.

Main Results:

  • GHOST processed an entire MiSeq run in approximately 3 hours.
  • Consistent detection of transmission linkages was observed across multiple experimental repeats, indicating high reproducibility.
  • GHOST demonstrated high specificity and sensitivity in detecting HCV transmission, accurately distinguishing between related and unrelated strains.

Conclusions:

  • GHOST provides timely, relevant public health information for effective intervention strategies.
  • The system is designed as a virtual diagnostic tool for molecular surveillance and outbreak investigations.
  • GHOST's accurate and reproducible outputs are accessible to users regardless of bioinformatics expertise, aiding in rapid response to hepatitis C outbreaks.