August 2025: The programme is aiming to enhance detection of disease outbreaks and to provide data that can inform implementation of potential treatments or interventions. Researchers at the University of Edinburgh are designing the analysis pipelines that will improve disease outbreak interventions. Earlier this year, the UK Health Security Agency (UKHSA) launched mSCAPE – the metagenomics Surveillance Collaboration and Analysis Programme – a world-first initiative that is piloting the use of metagenomic data for public health surveillance and pathogen analysis.The programme involves a consortium of NHS and academic partners including the University of Edinburgh, University of Birmingham and the NHS Clinical Respiratory Metagenomics Network led by Guy’s and St Thomas’ NHS Foundation Trust. Metagenomic approach Traditional genomic methodologies have required scientists to target sample sequencing towards pathogens that are already known to the scientific and medical community. However metagenomics allows the analysis of all nucleotide sequences in patient samples, potentially including novel pathogenic viruses and bacteria.UKHSA is now taking anonymous pathogen data from multiple labs that are using metagenomics for diagnosis, including those in the NHS, and analysing it at a national level to monitor trends, epidemiology and pathogen emergence. This approach will significantly improves detection of new disease outbreaks, as well as enabling the source of an outbreak to be better understood, and informing predictions about the effectiveness of potential treatments or interventions. Design of core analysis processes Researchers from the School of Biological Sciences at the University of Edinburgh – Rachel Colquhoun, Andrew Rambaut and Angela Sun – have been involved in designing several of the core analysis processes for the project. It has been very exciting to be a part of the design and setup of such an innovative project. This data, which is already being generated, could help us to better understand trends for seasonal respiratory viruses, as well as providing early warning signals for potential new pathogens or introductions. Rachel Colquhoun Lead researcher, School of Biological Sciences, University of Edinburgh The initial processing has been designed to allow data to be queried by pathogen content, with relevant reads extracted. This is fundamental to storing and accessing the data in order to answer different research questions such as the prevalence and characteristics of a particular pathogen over time.Secondly, researchers have developed a method to provide additional insights into robustness of the new lab protocols and potential reagent contamination, which can be fed back to labs.Finally, the team have been researching how to improve methods to select only the microbial part of the read data, in order to address future privacy concerns. This will one day enable metagenomic data to be shared more widely with academic researchers. Related links Rachel ColquhounAndrew RambautSchool of Biological Sciences, University of EdinburghInstitute of Microbiology and Infection, University of BirminghamMetagenomics Surveillance Collaboration and Analysis ProgrammeGuy’s and St Thomas’ NHS Foundation TrustUK Health Security Agency Pathogen Genomics StrategyUKHSA This article was published on 2025-08-14