FDA-ARGOS is a database with public quality-controlled reference genomes for diagnostic use and regulatory science

Heike Sichtig(United States Food and Drug Administration), Timothy D. Minogue(United States Army Medical Research Institute of Infectious Diseases), Yi Yan(United States Food and Drug Administration), Christopher P. Stefan(United States Army Medical Research Institute of Infectious Diseases), Adrienne T. Hall(United States Army Medical Research Institute of Infectious Diseases), Luke J. Tallon(University of Maryland, Baltimore), Lisa Sadzewicz(University of Maryland, Baltimore), Suvarna Nadendla(University of Maryland, Baltimore), William Klimke(National Center for Biotechnology Information), Eneida Hatcher(National Center for Biotechnology Information), Martin Shumway(National Center for Biotechnology Information), Dayanara Lebron Aldea(Lawrence Livermore National Laboratory), Jonathan Allen(Lawrence Livermore National Laboratory), Jeffrey W. Koehler(United States Army Medical Research Institute of Infectious Diseases), Tom Slezak(Lawrence Livermore National Laboratory), Stephen Lovell(United States Food and Drug Administration), Randal J. Schoepp(United States Army Medical Research Institute of Infectious Diseases), Uwe Scherf(United States Food and Drug Administration)
Nature Communications
July 25, 2019
Cited by 332Open Access
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Abstract

FDA proactively invests in tools to support innovation of emerging technologies, such as infectious disease next generation sequencing (ID-NGS). Here, we introduce FDA-ARGOS quality-controlled reference genomes as a public database for diagnostic purposes and demonstrate its utility on the example of two use cases. We provide quality control metrics for the FDA-ARGOS genomic database resource and outline the need for genome quality gap filling in the public domain. In the first use case, we show more accurate microbial identification of Enterococcus avium from metagenomic samples with FDA-ARGOS reference genomes compared to non-curated GenBank genomes. In the second use case, we demonstrate the utility of FDA-ARGOS reference genomes for Ebola virus target sequence comparison as part of a composite validation strategy for ID-NGS diagnostic tests. The use of FDA-ARGOS as an in silico target sequence comparator tool combined with representative clinical testing could reduce the burden for completing ID-NGS clinical trials.


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