Evidence map›Paper›PMID 35294448›Full record

ArticlePLoS computational biology2022

SavvyCNV: Genome-wide CNV calling from off-target reads.

Thomas W Laver, Elisa De Franco, Matthew B Johnson, Kashyap A Patel, Sian Ellard, Michael N Weedon, Sarah E Flanagan, Matthew N Wakeling

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  7. Neonatal diabetes mellitus is a significant feature of COXPD-24 caused by recessive NARS2 variants.Diabetic medicine : a journal of the British Diabetic Association · 2025
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  15. Review
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  20. Genes · 2023
    Article
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 1 institution in 1 country.

Thomas W LaverInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0001-6399-0089
Elisa De FrancoInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-1437-7891
Matthew B JohnsonInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-6519-6687
Kashyap A PatelInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-9240-8104
Sian EllardInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-7620-5526
Michael N WeedonInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-6174-6135
Sarah E FlanaganInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-8670-6340
Matthew N WakelingInstitute of Biomedical & Clinical Science, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-6542-9241
University of Exeter · GB

Funding

Medical Research Council MR/M008924/1
6 · The paper itself

Abstract

Identifying copy number variants (CNVs) can provide diagnoses to patients and provide important biological insights into human health and disease. Current exome and targeted sequencing approaches cannot detect clinically and biologically-relevant CNVs outside their target area. We present SavvyCNV, a tool which uses off-target read data from exome and targeted sequencing data to call germline CNVs genome-wide. Up to 70% of sequencing reads from exome and targeted sequencing fall outside the targeted regions. We have developed a new tool, SavvyCNV, to exploit this 'free data' to call CNVs across the genome. We benchmarked SavvyCNV against five state-of-the-art CNV callers using truth sets generated from genome sequencing data and Multiplex Ligation-dependent Probe Amplification assays. SavvyCNV called CNVs with high precision and recall, outperforming the five other tools at calling CNVs genome-wide, using off-target or on-target reads from targeted panel and exome sequencing. We then applied SavvyCNV to clinical samples sequenced using a targeted panel and were able to call previously undetected clinically-relevant CNVs, highlighting the utility of this tool within the diagnostic setting. SavvyCNV outperforms existing tools for calling CNVs from off-target reads. It can call CNVs genome-wide from targeted panel and exome data, increasing the utility and diagnostic yield of these tests. SavvyCNV is freely available at https://github.com/rdemolgen/SavvySuite.

Indexed as

DNA Copy Number VariationsHigh-Throughput Nucleotide SequencingAlgorithmsExomeExome SequencingHumansMultiplex Polymerase Chain Reaction

Identifiers

PMID35294448
PMCPMC8959187
OpenAlexW4220734247

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.