Evidence map›Paper›PMID 33632298›Full record

ArticleGenome medicine2021

ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data.

Andre E Minoche, Ben Lundie, Greg B Peters, Thomas Ohnesorg, Mark Pinese, David M Thomas, Andreas Zankl, Tony Roscioli, Nicole Schonrock, Sarah Kummerfeld and 3 more

Abstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  4. A novelJournal of neuromuscular diseases · 2026
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  9. <italic>WT1</italic> Deletion in 46,XY DSD: The Importance of Copy Number Variant Analysis.Sexual development : genetics, molecular biology, evolution, endocrinology, embryology, and pathology of sex determination and differentiation · 2026
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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

13 authors.

Andre E Minoche *Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia. a.minoche@garvan.org.au.ORCID 0000-0003-2757-4146
Ben Lundie *Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia.
Greg B PetersSydney Genome Diagnostics, The Children's Hospital at Westmead, Hawkesbury Road & Hainsworth Street, Westmead, NSW, Australia.
Thomas OhnesorgKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia.
Mark PineseChildren's Cancer Institute, University of New South Wales, Randwick, Sydney, NSW, Australia.
David M ThomasSt Vincent's Clinical School, UNSW, Sydney, NSW, Australia.
Andreas ZanklKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia.
Tony RoscioliNSW Health Pathology Randwick, Sydney, NSW, Australia.
Nicole SchonrockKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia.
Sarah KummerfeldKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia.
Leslie BurnettKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia.
Marcel E DingerKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia.
Mark J CowleyKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, NSW, Australia. MCowley@ccia.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genome sequencing (WGS) has the potential to outperform clinical microarrays for the detection of structural variants (SV) including copy number variants (CNVs), but has been challenged by high false positive rates. Here we present ClinSV, a WGS based SV integration, annotation, prioritization, and visualization framework, which identified 99.8% of simulated pathogenic ClinVar CNVs > 10 kb and 11/11 pathogenic variants from matched microarrays. The false positive rate was low (1.5-4.5%) and reproducibility high (95-99%). In clinical practice, ClinSV identified reportable variants in 22 of 485 patients (4.7%) of which 35-63% were not detectable by current clinical microarray designs. ClinSV is available at https://github.com/KCCG/ClinSV .

Indexed as

SoftwareWhole Genome SequencingDNA Copy Number VariationsGene FrequencyHumansMolecular Sequence AnnotationMutationReproducibility of ResultsClinical genomeCopy number variationMicroarrayRare diseaseStructural variationWhole genome sequencing

Identifiers

PMID33632298
PMCPMC7908648

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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.