Evidence map›Paper›PMID 31015508›Full record

ArticleScientific reports2019

CNspector: a web-based tool for visualisation and clinical diagnosis of copy number variation from next generation sequencing.

John F Markham, Satwica Yerneni, Georgina L Ryland, Huei San Leong, Andrew Fellowes, Ella R Thompson, Wasanthi De Silva, Amit Kumar, Richard Lupat, Jason Li and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
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  9. Article
  10. Identification of Copy Number Alterations from Next-Generation Sequencing Data.Advances in experimental medicine and biology · 2022
    Article
  11. Article
  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

John F MarkhamPeter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia. john.markham@petermac.org.
Satwica YerneniDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Georgina L RylandDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Huei San LeongDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Andrew FellowesDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Ella R ThompsonDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Wasanthi De SilvaDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Amit KumarPeter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia.
Richard LupatPeter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia.
Jason LiPeter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia.
Jason EllulPeter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia.
Stephen FoxDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0002-7648-8896
Michael DickinsonDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
Anthony T PapenfussPeter MacCallum Cancer Centre, 305 Grattan Street, Parkville, VIC, 3000, Australia.
Piers BlomberyDepartment of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next Generation Sequencing is now routinely used in the practice of diagnostic pathology to detect clinically relevant somatic and germline sequence variations in patient samples. However, clinical assessment of copy number variations (CNVs) and large-scale structural variations (SVs) is still challenging. While tools exist to estimate both, their results are typically presented separately in tables or static plots which can be difficult to read and are unable to show the context needed for clinical interpretation and reporting. We have addressed this problem with CNspector, a multi-scale interactive browser that shows CNVs in the context of other relevant genomic features to enable fast and effective clinical reporting. We illustrate the utility of CNspector at different genomic scales across a variety of sample types in a range of case studies. We show how CNspector can be used for diagnosis and reporting of exon-level deletions, focal gene-level amplifications, chromosome and chromosome arm level amplifications/deletions and in complex genomic rearrangements. CNspector is a web-based clinical variant browser tailored to the clinical application of next generation sequencing for CNV assessment. We have demonstrated the utility of this interactive software in typical applications across a range of tissue types and disease contexts encountered in the context of diagnostic pathology. CNspector is written in R and the source code is available for download under the GPL3 Licence from https://github.com/PapenfussLab/CNspector . A server running CNspector loaded with the figures from this paper can be accessed at https://shiny.wehi.edu.au/jmarkham/CNspector/index.html .

Indexed as

DNA Copy Number VariationsWeb BrowserBasal Cell CarcinomaBasal Cell Nevus SyndromeChromosome DeletionChromosome DuplicationExonsGenome, HumanHigh-Throughput Nucleotide SequencingHumansInternetSequence Analysis, DNA

Identifiers

PMID31015508
PMCPMC6478945

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Registered trials

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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.