Publication
Proficiency Testing of Virus Diagnostics Based on Bioinformatics Analysis of Simulated In Silico High-Throughput Sequencing Data Sets
| dc.contributor.author | Brinkmann, Annika | |
| dc.contributor.author | Andrusch, Andreas | |
| dc.contributor.author | Belka, Ariane | |
| dc.contributor.author | Wylezich, Claudia | |
| dc.contributor.author | Höper, Dirk | |
| dc.contributor.author | Pohlmann, Anne | |
| dc.contributor.author | Nordahl Petersen, Thomas | |
| dc.contributor.author | Lucas, Pierrick | |
| dc.contributor.author | Blanchard, Yannick | |
| dc.contributor.author | Papa, Anna | |
| dc.contributor.author | Melidou, Angeliki | |
| dc.contributor.author | Oude Munnink, Bas B. | |
| dc.contributor.author | Matthijnssens, Jelle | |
| dc.contributor.author | Deboutte, Ward | |
| dc.contributor.author | Ellis, Richard J. | |
| dc.contributor.author | Hansmann, Florian | |
| dc.contributor.author | Baumgärtner, Wolfgang | |
| dc.contributor.author | van der Vries, Erhard | |
| dc.contributor.author | Osterhaus, Albert | |
| dc.contributor.author | Camma, Cesare | |
| dc.contributor.author | Mangone, Iolanda | |
| dc.contributor.author | Lorusso, Alessio | |
| dc.contributor.author | Marcacci, Maurilia | |
| dc.contributor.author | Nunes, Alexandra | |
| dc.contributor.author | Pinto, Miguel | |
| dc.contributor.author | Borges, Vítor | |
| dc.contributor.author | Kroneman, Annelies | |
| dc.contributor.author | Schmitz, Dennis | |
| dc.contributor.author | Corman, Victor Max | |
| dc.contributor.author | Drosten, Christian | |
| dc.contributor.author | Jones, Terry C. | |
| dc.contributor.author | Hendriksen, Rene S. | |
| dc.contributor.author | Aarestrup, Frank M. | |
| dc.contributor.author | Koopmans, Marion | |
| dc.contributor.author | Beer, Martin | |
| dc.contributor.author | Nitsche, Andreas | |
| dc.date.accessioned | 2020-05-08T18:32:38Z | |
| dc.date.available | 2020-05-08T18:32:38Z | |
| dc.date.issued | 2019-07-26 | |
| dc.description | Free PMC article: https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31167846/ | |
| dc.description.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. | pt_PT |
| dc.description.sponsorship | This study was supported by EU Horizon 2020 funding for COMPARE Europe (grant agreement 643476). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | J Clin Microbiol. 2019 Jul 26;57(8):e00466-19. doi: 10.1128/JCM.00466-19. Print 2019 Aug | pt_PT |
| dc.identifier.doi | 10.1128/JCM.00466-19 | pt_PT |
| dc.identifier.issn | 0095-1137 | |
| dc.identifier.uri | http://hdl.handle.net/10400.18/6623 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | American Society for Microbiology | pt_PT |
| dc.relation | COllaborative Management Platform for detection and Analyses of (Re-)emerging and foodborne outbreaks in Europe | |
| dc.relation.publisherversion | https://jcm.asm.org/content/57/8/e00466-19 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt_PT |
| dc.subject | External Quality Assessment | pt_PT |
| dc.subject | High-throughput Sequencing | pt_PT |
| dc.subject | Next-generation Sequencing | pt_PT |
| dc.subject | Proficiency Testing | pt_PT |
| dc.subject | Virus Diagnostics | pt_PT |
| dc.title | Proficiency Testing of Virus Diagnostics Based on Bioinformatics Analysis of Simulated In Silico High-Throughput Sequencing Data Sets | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | COllaborative Management Platform for detection and Analyses of (Re-)emerging and foodborne outbreaks in Europe | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/643476/EU | |
| oaire.citation.issue | 8 | pt_PT |
| oaire.citation.startPage | e00466-19 | pt_PT |
| oaire.citation.title | Journal of Clinical Microbiology | pt_PT |
| oaire.citation.volume | 57 | pt_PT |
| oaire.fundingStream | H2020 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | European Commission | |
| rcaap.embargofct | De acordo com política editorial da revista. | pt_PT |
| rcaap.rights | embargoedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isProjectOfPublication | 0ed12fe3-c5b4-449d-bc04-80dac4f120ea | |
| relation.isProjectOfPublication.latestForDiscovery | 0ed12fe3-c5b4-449d-bc04-80dac4f120ea |
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