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Potential for diagnosis of infectious disease from the 100,000 Genomes Project Metagenomic Dataset: recommendations for reporting results

Potential for diagnosis of infectious disease from the 100,000 Genomes Project Metagenomic Dataset: recommendations for reporting results
Potential for diagnosis of infectious disease from the 100,000 Genomes Project Metagenomic Dataset: recommendations for reporting results
The identification of microbiological infection is usually a diagnostic investigation, a complex process that is firstly initiated by clinical suspicion. With the emergence of high-throughput sequencing (HTS) technologies, metagenomic analysis has unveiled the power to identify microbial DNA/RNA from a diverse range of clinical samples (1). Metagenomic analysis of whole human genomes at the clinical/research interface bypasses the steps of clinical scrutiny and targeted testing and has the potential to generate unexpected findings relating to infectious and sometimes transmissible disease. There is no doubt that microbial findings that may have a significant impact on a patient’s treatment and their close contacts should be reported to those with clinical responsibility for the sample-donating patient. There are no clear recommendations on how such findings that are incidental, or outside the original investigation, should be handled. Here we aim to provide an informed protocol for the management of incidental microbial findings as part of the 100,000 Genomes Project which may have broader application in this emerging field. As with any other clinical information, we aim to prioritise the reporting of data that are most likely to be of benefit to the patient and their close contacts. We also set out to minimize risks, costs and potential anxiety associated with the reporting of results that are unlikely to be of clinical significance. Our recommendations aim to support the practice of microbial metagenomics by providing a simplified pathway that can be applied to reporting the identification of potential pathogens from metagenomic datasets. Given that the ambition for UK sequenced human genomes over the next 5 years has been set to reach 5 million and the field of metagenomics is rapidly evolving, the guidance will be regularly reviewed and will likely adapt over time as experience develops.
2398-502X
1-19
Magiorkinis, G.
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Matthews, P.C.
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Wallace, S.E.
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Jeffery, K.
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Dunbar, K.
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Tedder, R.
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Mbisa, J.L.
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Hannigan, B.
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Vayena, E.
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Simmonds, P.
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Brewer, D.S.
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Gihawi, A.
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Rallapalli, G.
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Lahnstein, L.
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Fowler, T.
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Patch, C.
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Maleady-Crowe, F.
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Lucassen, A.
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Cooper, C.
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Magiorkinis, G.
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Matthews, P.C.
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Wallace, S.E.
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Jeffery, K.
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Dunbar, K.
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Tedder, R.
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Mbisa, J.L.
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Hannigan, B.
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Vayena, E.
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Simmonds, P.
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Brewer, D.S.
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Gihawi, A.
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Rallapalli, G.
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Lahnstein, L.
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Fowler, T.
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Patch, C.
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Maleady-Crowe, F.
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Lucassen, A.
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Cooper, C.
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Magiorkinis, G., Matthews, P.C., Wallace, S.E., Jeffery, K., Dunbar, K., Tedder, R., Mbisa, J.L., Hannigan, B., Vayena, E., Simmonds, P., Brewer, D.S., Gihawi, A., Rallapalli, G., Lahnstein, L., Fowler, T., Patch, C., Maleady-Crowe, F., Lucassen, A. and Cooper, C. (2019) Potential for diagnosis of infectious disease from the 100,000 Genomes Project Metagenomic Dataset: recommendations for reporting results. Wellcome Open Research, 4 (155), 1-19. (doi:10.12688/wellcomeopenres.15499.1).

Record type: Letter

Abstract

The identification of microbiological infection is usually a diagnostic investigation, a complex process that is firstly initiated by clinical suspicion. With the emergence of high-throughput sequencing (HTS) technologies, metagenomic analysis has unveiled the power to identify microbial DNA/RNA from a diverse range of clinical samples (1). Metagenomic analysis of whole human genomes at the clinical/research interface bypasses the steps of clinical scrutiny and targeted testing and has the potential to generate unexpected findings relating to infectious and sometimes transmissible disease. There is no doubt that microbial findings that may have a significant impact on a patient’s treatment and their close contacts should be reported to those with clinical responsibility for the sample-donating patient. There are no clear recommendations on how such findings that are incidental, or outside the original investigation, should be handled. Here we aim to provide an informed protocol for the management of incidental microbial findings as part of the 100,000 Genomes Project which may have broader application in this emerging field. As with any other clinical information, we aim to prioritise the reporting of data that are most likely to be of benefit to the patient and their close contacts. We also set out to minimize risks, costs and potential anxiety associated with the reporting of results that are unlikely to be of clinical significance. Our recommendations aim to support the practice of microbial metagenomics by providing a simplified pathway that can be applied to reporting the identification of potential pathogens from metagenomic datasets. Given that the ambition for UK sequenced human genomes over the next 5 years has been set to reach 5 million and the field of metagenomics is rapidly evolving, the guidance will be regularly reviewed and will likely adapt over time as experience develops.

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e-pub ahead of print date: 14 October 2019
Published date: 2019

Identifiers

Local EPrints ID: 438165
URI: http://eprints.soton.ac.uk/id/eprint/438165
ISSN: 2398-502X
PURE UUID: 0f2a5e22-7c4e-4fe4-83f2-2b5597a8f953
ORCID for A. Lucassen: ORCID iD orcid.org/0000-0003-3324-4338

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Date deposited: 03 Mar 2020 17:45
Last modified: 17 Mar 2024 02:54

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Contributors

Author: G. Magiorkinis
Author: P.C. Matthews
Author: S.E. Wallace
Author: K. Jeffery
Author: K. Dunbar
Author: R. Tedder
Author: J.L. Mbisa
Author: B. Hannigan
Author: E. Vayena
Author: P. Simmonds
Author: D.S. Brewer
Author: A. Gihawi
Author: G. Rallapalli
Author: L. Lahnstein
Author: T. Fowler
Author: C. Patch
Author: F. Maleady-Crowe
Author: A. Lucassen ORCID iD
Author: C. Cooper

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