COVID-19 Genomics UK Consortium (COG-UK)

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:99 publications

Grant number: MC_PC_19027

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2023
  • Known Financial Commitments (USD)

    $7,500,000
  • Funder

    UK Research and Innovation (UKRI)
  • Principal Investigator

    Prof. Sharon Peacock
  • Research Location

    United Kingdom
  • Lead Research Institution

    Department of Health and Social Care
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen genomics, mutations and adaptations

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Clinical

  • Clinical Trial Details

    Unspecified

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

MRC are investing £6m through the COVID-19 Genomics UK (COG-UK) consortium (COG-UK), which has received a total of £20.79m in partnership with DHSC and Wellcome, to a large scale and rapid SARS-CoV-2 sequencing capacity and share this knowledge with hospitals and the NHS. Other contributions are from DHSC and Wellcome via Wellcome Sanger. The current COVID-19 pandemic represents a major threat to health in the UK and globally. SARS-CoV-2 whole genome sequencing capacity in UK NHS clinical microbiology network and within Public Health England (PHE) is of limited daily capacity. However, the UK has world leading expertise in genomics within PHE, at multiple regional University hubs, and within large centres such as the Wellcome Sanger Institute. The proposed COVID-19 Genomics UK (COG-UK) - Consortium, will deliver a large scale and rapid SARS-CoV-2 sequencing capacity to local NHS centres and the UK government at pace. The primary achievement of this consortium will be the generation of actionable data which when combined with epidemiological and clinical information has the potential to inform interventions and policy decisions during the current UK COVID-19 epidemic. This sequencing capacity will enable real time evaluation of novel treatments and non-pharmacological interventions on SARS-CoV-2 populations and spread, and provide information on introductions versus community transmission and outbreaks. It will also evaluate signals of changing transmissibility and virulence. In the longer term, the full integration of UK population level SARS-CoV-2 genomics data, with matching NHS electronic health records, patient outcomes, human genomics and metagenomics data has the potential to generate insights into susceptibility to COVID-19 disease. Finally, the substantial new nationwide capacity in sequencing infrastructure, informatics and personnel that will be built by COG-UK will remain at the end of the COVID-19 pandemic as significant asset for the NHS, UKRI and UK Government.

Publicationslinked via Europe PMC

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View all publications at Europe PMC

Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England.

Prevalence of persistent SARS-CoV-2 in a large community surveillance study.

Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey.

SCORPIO: a utility for defining and classifying mutation constellations of virus genomes.

COVID-19 risk mitigation in reopening mass cultural events: population-based observational study for the UK Events Research Programme in Liverpool City Region.

Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias.

Directions of change in intrinsic case severity across successive SARS-CoV-2 variant waves have been inconsistent.

Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA.1.

The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: A genomics-based retrospective cohort analysis.