Evidence map›Paper›PMID 26818672›Full record

ArticleJournal of clinical microbiology2016

Unbiased Detection of Respiratory Viruses by Use of RNA Sequencing-Based Metagenomics: a Systematic Comparison to a Commercial PCR Panel.

Erin H Graf, Keith E Simmon, Keith D Tardif, Weston Hymas, Steven Flygare, Karen Eilbeck, Mark Yandell, Robert Schlaberg

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 2 pooled it
18.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

121 citing papers in PubMed, 2 syntheses or guidelines pooled it, 211 citations in OpenAlex.

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  12. HPD-Kit: a comprehensive toolkit for pathogen detection and analysis.Frontiers in cellular and infection microbiology · 2025
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61 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Erin H GrafUniversity of Utah School of Medicine, Department of Pathology, Salt Lake City, Utah, USA.
Keith E SimmonUniversity of Utah School of Medicine, Department of Biomedical Informatics, Salt Lake City, Utah, USA ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah, USA.
Keith D TardifARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah, USA.
Weston HymasARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah, USA.
Steven FlygareDepartment of Human Genetics, University of Utah, Salt Lake City, Utah, USA.
Karen EilbeckUniversity of Utah School of Medicine, Department of Biomedical Informatics, Salt Lake City, Utah, USA USTAR Center for Genetic Discovery, Salt Lake City, Utah, USA.
Mark YandellDepartment of Human Genetics, University of Utah, Salt Lake City, Utah, USA USTAR Center for Genetic Discovery, Salt Lake City, Utah, USA.
Robert SchlabergUniversity of Utah School of Medicine, Department of Pathology, Salt Lake City, Utah, USA ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah, USA robert.schlaberg@path.utah.edu.
ARUP Institute for Clinical and Experimental PathologyARUP Laboratories (United States) · USStar Center · USUniversity of Utah · US

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
University of Utah Center for clinical and Translational ScienceKL2TR001065 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$1.1M
NCATS NIH HHS 1KL2TR001065NCATS NIH HHS KL2 TR001065NCATS NIH HHS UL1 TR001067NCATS NIH HHS UL1TR001067
6 · The paper itself

Abstract

Current infectious disease molecular tests are largely pathogen specific, requiring test selection based on the patient's symptoms. For many syndromes caused by a large number of viral, bacterial, or fungal pathogens, such as respiratory tract infections, this necessitates large panels of tests and has limited yield. In contrast, next-generation sequencing-based metagenomics can be used for unbiased detection of any expected or unexpected pathogen. However, barriers for its diagnostic implementation include incomplete understanding of analytical performance and complexity of sequence data analysis. We compared detection of known respiratory virus-positive (n= 42) and unselected (n= 67) pediatric nasopharyngeal swabs using an RNA sequencing (RNA-seq)-based metagenomics approach and Taxonomer, an ultrarapid, interactive, web-based metagenomics data analysis tool, with an FDA-cleared respiratory virus panel (RVP; GenMark eSensor). Untargeted metagenomics detected 86% of known respiratory virus infections, and additional PCR testing confirmed RVP results for only 2 (33%) of the discordant samples. In unselected samples, untargeted metagenomics had excellent agreement with the RVP (93%). In addition, untargeted metagenomics detected an additional 12 viruses that were either not targeted by the RVP or missed due to highly divergent genome sequences. Normalized viral read counts for untargeted metagenomics correlated with viral burden determined by quantitative PCR and showed high intrarun and interrun reproducibility. Partial or full-length viral genome sequences were generated in 86% of RNA-seq-positive samples, allowing assessment of antiviral resistance, strain-level typing, and phylogenetic relatedness. Overall, untargeted metagenomics had high agreement with a sensitive RVP, detected viruses not targeted by the RVP, and yielded epidemiologically and clinically valuable sequence information.

Indexed as

Child, PreschoolComputational BiologyFemaleHumansInfantInfant, NewbornMaleMetagenomicsNasopharynxPolymerase Chain ReactionRespiratory Tract InfectionsRetrospective StudiesSequence Analysis, RNAViruses

Identifiers

PMID26818672
PMCPMC4809917
OpenAlexW2332382218

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.