Loading clinical trials...
Loading clinical trials...
The Investigators plan to generate a database of viral RNA sequences for SARS-CoV-2 within the Wessex region. Such whole genome data can be used to monitor mutation rates in real time and, through comparison with global databases of SARS-CoV-2 genome sequences, can be used to map transmission of the virus
The current Covid-19 pandemic has caused significant strain on the health care system, and an unprecedented Governmental response to stem the spread of the disease through social distancing and self-isolation. Covid-19 is a pneumonia-like severe acute respiratory syndrome (SARS) caused by a virus, SARS-CoV-2, with similarity to the SARS virus responsible for a worldwide outbreak in 2002. Due to the original SARS outbreak, a large body of genomic data exists for SARS coronaviruses, allowing researchers to understand how the new virus SARS-CoV-2 has evolved to be so virulent in humans. Whilst testing kits have been designed to target specific genes in the viral RNA, whole genome sequencing of the virus offers increased scope to track the epidemiology of the virus. In addition, through the use of current sequencing technology available from Oxford Nanopore Technologies (ONT), genome scanning can be performed in real time and allow for identification of specific viral variants within patient samples. As the pandemic continues to spread, understanding the evolution of the virus and its spread across the globe will help researchers to begin to predict the future spread of the virus, estimate the number of worldwide cases, and aid in the development of epidemiological models for estimating a potential end point to the pandemic crisis. In addition, the ability to track mutations in real time allows researchers access to a large body of data to explore in order to identify potential targets for cures and vaccines. These data will also feed into the design of RNA-based therapeutic targets and diagnostics using patented array technology. In this project, the investigators aim to use Nanopore-based sequencing technology to assemble viral genomes from patients who have presented to Portsmouth Hospital NHS Trust (PHT) in the Wessex region with symptoms of Covid-19. PHT, has containment level 3 (CL3) facilities within their Microbiology Department required for inactivation of the virus and extraction of viral RNA, and has recently begun testing of potential Covid-19 patients. Viral RNA samples from patients who show positive results will be selected for sequencing using Nanopore sequencing technology. Whole genome sequences will be compared using phylogenetic analysis to identify the spread of the virus within the local area, will be analysed in the context of anonymised patient level data to look for trends in the adaptation of the virus, and will be compared with a global database of such sequences to help develop global maps of transmission. As part of the COVID-19 Genomics UK Consortium (COG-UK), the investigators will contribute sequencing data to the consortium which will monitor changes in the virus on a national scale to understand how the virus is mutating and spreading and whether different strains are emerging
Age
7 - No limit years
Sex
ALL
Healthy Volunteers
No
Portsmouth Hospitals NHS Trust, Queen Alexandra Hospital
Portsmouth, Hampshire, United Kingdom
Start Date
May 4, 2020
Primary Completion Date
September 30, 2022
Completion Date
September 30, 2022
Last Updated
April 3, 2023
5,602
ACTUAL participants
Lead Sponsor
Portsmouth Hospitals NHS Trust
Collaborators
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT04510025