Cited by 550Bacterial Identification and Susceptibility TestingGenomics and Phylogenetic StudiesClinical Laboratory Practices and Quality Control

Validation of Metagenomic Next-Generation Sequencing Tests for Universal Pathogen Detection

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Schlaberg, Robert, Chiu, Charles Y., Miller, Steve, Procop, Gary W., Weinstock, George, the Professional Practice Committee and Committee on Laboratory Practices of the American Society for Microbiology, the Microbiology Resource Committee of the College of American Pathologists·2017·Archives of Pathology & Laboratory Medicine

Abstract

Context.—: Metagenomic sequencing can be used for detection of any pathogens using unbiased, shotgun next-generation sequencing (NGS), without the need for sequence-specific amplification. Proof-of-concept has been demonstrated in infectious disease outbreaks of unknown causes and in patients with suspected infections but negative results for conventional tests. Metagenomic NGS tests hold great promise to improve infectious disease diagnostics, especially in immunocompromised and critically ill patients. Objective.—: To discuss challenges and provide example solutions for validating metagenomic pathogen detection tests in clinical laboratories. A summary of current regulatory requirements, largely based on prior guidance for NGS testing in constitutional genetics and oncology, is provided. Data Sources.—: Examples from 2 separate validation studies are provided for steps from assay design, and validation of wet bench and bioinformatics protocols, to quality control and assurance. Conclusions.—: Although laboratory and data analysis workflows are still complex, metagenomic NGS tests for infectious diseases are increasingly being validated in clinical laboratories. Many parallels exist to NGS tests in other fields. Nevertheless, specimen preparation, rapidly evolving data analysis algorithms, and incomplete reference sequence databases are idiosyncratic to the field of microbiology and often overlooked.

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  • Customized data sets can be prepared to mimic input sequence data and expand range of microorganisms detected through in silico analysis.

    “Customized data sets can be prepared to mimic input sequence data and expand the range of microorganisms detected through in silico analysis37.”

    From Clinical metagenomics (2019) · cites this paper as [37]

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  1. [3]Matulonis UA, Lorusso D, Oaknin A, et al. J Clin Oncol. 2023;41(13):2436-2445. doi:10.1200/JCO.22.01900 · DOI

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Authors
Schlaberg, R., Chiu, C. Y., Miller, S., Procop, G. W., Weinstock, G., the Professional Practice Committee and Committee on Laboratory Practices of the American Society for Microbiology, & the Microbiology Resource Committee of the College of American Pathologists
Affiliations
Cleveland Clinic (US)
Venue
Archives of Pathology & Laboratory Medicine
Published
2017-02-07
Volume
141
Issue
6
Pages
776-786
ISSN
  • 0003-9985 (ISSN-L)
  • 1543-2165
OpenAlex
W2587565773
Cited by
550
References
40
Citations by year
2026: 43 · 2025: 63 · 2024: 71 · 2023: 85 · 2022: 79 · 2021: 61 · 2020: 52 · 2019: 47 · 2018: 34 · 2017: 14 · 2015: 1
FWCI
33.42
Type
journal article
Language
en
Open access
Locations
  • Archives of Pathology & Laboratory Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
metagenomic sequencing, pathogen detection, test validation, infectious disease diagnostics, clinical laboratory testing, regulatory requirements, shotgun sequencing, specimen preparation, bioinformatics analysis, quality assurance and quality control, reference sequence database, immunocompromised patients, critically ill patients
MeSH terms
Algorithms, Communicable Diseases, Humans, Quality Control, Sensitivity and Specificity, Specimen Handling, Reproducibility of Results, Sequence Analysis, DNA, Computational Biology, Databases, Nucleic Acid, Metagenomics, Workflow, High-Throughput Nucleotide Sequencing, Clinical Laboratory Services

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