Completed Infection & Immunity Genetics & Molecular Biology

Implementation of microbial whole-genome sequencing for individual patient care, local outbreak recognition and national surveillance.

In plain English

AI plain-English summary

A single patient sample currently takes days to months to get a full microbial work-up, but this project aims to shrink that to under 24 hours by putting whole-genome sequencing directly into hospital labs. The problem is that today’s clinical microbiology relies on a patchwork of slow, disconnected tests—one for species, another for drug resistance, another for strain relatedness. Each is run separately, often at distant reference labs, delaying treatment and allowing infections to spread. The researchers argue that nearly all of this information is already encoded in a pathogen’s DNA, but no one has built the practical pipeline to extract it quickly at the bedside. If successful, the team will deploy a bench-top sequencing workflow and a suite of custom software across four NHS labs (Oxford, Brighton, Birmingham, Leeds). The system would automatically assemble genomes, predict antibiotic resistance and virulence, flag possible transmission chains, and feed results into national surveillance databases. A health-economic evaluation will test whether this approach is cheaper and faster than the current centralised model. The immediate impact is on infection control and individual patient care—faster, better-targeted antibiotics and real-time outbreak detection. The longer-term goal is a national rollout covering more pathogens, quietly strengthening the infrastructure that keeps hospital-acquired infections in check.

View original technical description
Need Next-day access to micro-organism species, resistance, and relatedness would be an unprecedented advance for infection treatment and control. The existing multiplicity of disconnected pathogen-specific systems make such fast, cheap, comprehensive characterization impossible, but most such information could be deduced from whole-genome sequences. Technology We propose to translate whole-genome sequencing into routine clinical microbiology by: Optimizing a locally-implementable bench-top sequencing pathway for primary cultures with Illumina. Creating a suite of bioinformatic software to assemble, securely store, and query sequences with database support from Oracle. Developing knowledge-bases, statistical algorithms and visual analytics to predict antimicrobial resistance/virulence phenotype, identify possible transmissions, and present actionable information to service-users. Goals/Deliverables Demonstrating locally-based genome sequencing in a network of routine service laboratories (initially Oxford, Brighton, Birmingham and Leeds) as a model for national surveillance and a faster, more informative alternative to centralized reference facilities Health-economic evaluation demonstrating cost-effectiveness A clear pathway to national implementation and extension to more pathogens Impact Complete work-up' of a single sample currently takes days-to-months. We envisage providing complete pathogen information within 24h of culture, transparently linked to national surveillance and enabling faster and better targeted patient treatment, infection prevention/control and cost reductions.

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Researchers

Derrick Crook (EPMC Awardee)

Related Research

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Implementation of microbial whole-genome sequencing for individual patient care, local outbreak recognition and national surveillance
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Original classification

Health Innovation Challenge Fund Award

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