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Proficiency Testing of Virus Diagnostics Based on Bioinformatics Analysis of Simulated In Silico High-Throughput Sequencing Data Sets.


ABSTRACT: Quality management and independent assessment of high-throughput sequencing-based virus diagnostics have not yet been established as a mandatory approach for ensuring comparable results. The sensitivity and specificity of viral high-throughput sequence data analysis are highly affected by bioinformatics processing using publicly available and custom tools and databases and thus differ widely between individuals and institutions. Here we present the results of the COMPARE [Collaborative Management Platform for Detection and Analyses of (Re-)emerging and Foodborne Outbreaks in Europe] in silico virus proficiency test. An artificial, simulated in silico data set of Illumina HiSeq sequences was provided to 13 different European institutes for bioinformatics analysis to identify viral pathogens in high-throughput sequence data. Comparison of the participants' analyses shows that the use of different tools, programs, and databases for bioinformatics analyses can impact the correct identification of viral sequences from a simple data set. The identification of slightly mutated and highly divergent virus genomes has been shown to be most challenging. Furthermore, the interpretation of the results, together with a fictitious case report, by the participants showed that in addition to the bioinformatics analysis, the virological evaluation of the results can be important in clinical settings. External quality assessment and proficiency testing should become an important part of validating high-throughput sequencing-based virus diagnostics and could improve the harmonization, comparability, and reproducibility of results. There is a need for the establishment of international proficiency testing, like that established for conventional laboratory tests such as PCR, for bioinformatics pipelines and the interpretation of such results.

SUBMITTER: Brinkmann A 

PROVIDER: S-EPMC6663916 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Proficiency Testing of Virus Diagnostics Based on Bioinformatics Analysis of Simulated <i>In Silico</i> High-Throughput Sequencing Data Sets.

Brinkmann Annika A   Andrusch Andreas A   Belka Ariane A   Wylezich Claudia C   Höper Dirk D   Pohlmann Anne A   Nordahl Petersen Thomas T   Lucas Pierrick P   Blanchard Yannick Y   Papa Anna A   Melidou Angeliki A   Oude Munnink Bas B BB   Matthijnssens Jelle J   Deboutte Ward W   Ellis Richard J RJ   Hansmann Florian F   Baumgärtner Wolfgang W   van der Vries Erhard E   Osterhaus Albert A   Camma Cesare C   Mangone Iolanda I   Lorusso Alessio A   Marcacci Maurilia M   Nunes Alexandra A   Pinto Miguel M   Borges Vítor V   Kroneman Annelies A   Schmitz Dennis D   Corman Victor Max VM   Drosten Christian C   Jones Terry C TC   Hendriksen Rene S RS   Aarestrup Frank M FM   Koopmans Marion M   Beer Martin M   Nitsche Andreas A  

Journal of clinical microbiology 20190726 8


Quality management and independent assessment of high-throughput sequencing-based virus diagnostics have not yet been established as a mandatory approach for ensuring comparable results. The sensitivity and specificity of viral high-throughput sequence data analysis are highly affected by bioinformatics processing using publicly available and custom tools and databases and thus differ widely between individuals and institutions. Here we present the results of the COMPARE [<i>Co</i>llaborative <i  ...[more]

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