Enhanced genomic tracking of COVID-19 importations and transmissions in NSW

  • Funded by New South Wales Government (Health)
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Funder

    New South Wales Government (Health)
  • Principal Investigator

    Professor Vitali Sintchenko
  • Research Location

    Australia
  • Lead Research Institution

    The University of Sydney
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen genomics, mutations and adaptations

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Health Personnel

Abstract

Project summary How can sensitive, enhanced WGS techniques enable high-resolution SARS-CoV-2 genome sequencing from low viral load samples? We intent to improve SARS-CoV-2 genome surveillance and enhance its consequent public health utility and impact in NSW. What is the issue for NSW? This research addresses a major and immediate challenge for genomic surveillance of SARS-CoV-2 in NSW and nationally - a low viral load in many diagnostic samples. It is extremely difficult to generate a full genome sequence from low viral load COVID-19 samples, which are increasingly collected from cases with minimal disease and asymptomatic infection. This in turn limits tracking of transmission events and linking cases. What does the research aim to do and how? This proposal will improve sensitivity of SARS-CoV-2 genome sequencing from clinical samples with low viral loads by implementing novel, highly sensitive methods of target genome enrichment that have proven successful with other viruses. Specific aims are to: (i) investigate sensitivity and precision of probe-based capture and spiked primer enrichment-based genome sequencing, and (ii) evaluate the impact of this enhanced whole genome sequencing (enhanced WGS) approach on public health genomic surveillance in NSW. We will focus particularly on samples and genomic sequences from one of Australia's most exposed risk groups, namely, healthcare workers (HCW).