Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.705557
Title: The use of next generation sequencing in the diagnosis and typing of viral infections
Author: Thorburn, Fiona
ISNI:       0000 0004 6060 5263
Awarding Body: University of Glasgow
Current Institution: University of Glasgow
Date of Award: 2016
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Abstract:
Viral respiratory infections are associated with substantial mortality, morbidity, and a vast economic and healthcare burden. The diagnosis of such infections has been revolutionised by the introduction of molecular methods such as RT-PCR. This has resulted in high levels of sensitivity and specificity along with a rapid turnaround time in comparison to previous methods. As a product of this success, the diagnosis of respiratory infections makes up a large proportion of the workload in most diagnostic laboratories. The development of next generation sequencing (NGS) may be the next revolution in the field of virus diagnostics. This allows a metagenomic approach to specimen processing whereby target independent sequencing of all genetic material is carried out. The research presented in this thesis initially sought to examine if NGS would be feasible in the field of respiratory virus diagnostics. The aim was to apply NGS to clinical specimens in parallel with the current diagnostic RT-PCR assays employed by the West of Scotland Specialist Virology Centre (WoSSVC) to determine if NGS could give the same level of results as RT-PCR and whether the sequence information generated in the process could be used in further characterising the detected pathogens. Further to this, the NGS method was then applied to the detection of norovirus from faecal specimens to demonstrate the utility in other areas of viral diagnostics. The results show that multiple viral pathogens can be detected from clinical specimens without specific virus targeting. The method was less sensitive than RT-PCR but sequence data generated during the process was utilised viral detection, subtyping and phylogenetic analysis. We also demonstrated that a single workflow could be applied to multiple specimen types in the detection of RNA viral pathogens.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.705557  DOI: Not available
Keywords: QR Microbiology ; QR355 Virology
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