Sequencing and Tracking of Phylogeny in COVID-19 Study

NCT ID: NCT04359849

Last Updated: 2023-04-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

5602 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-05-04

Study Completion Date

2022-09-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Coronavirus Infection

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Have undergone successful testing for Covid-19
* Have sufficient viral RNA remaining for research analysis following testing for Covid-19

Exclusion Criteria

* Insufficient viral RNA remains following testing for Covid-19
Minimum Eligible Age

7 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

University of Portsmouth

OTHER

Sponsor Role collaborator

Portsmouth Hospitals NHS Trust

OTHER_GOV

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Portsmouth Hospitals NHS Trust, Queen Alexandra Hospital

Portsmouth, Hampshire, United Kingdom

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United Kingdom

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

PHT/2020/34

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Survey of COVID-19 Infection
NCT05706064 COMPLETED