Academic Journal
SavvyCNV: Genome-wide CNV calling from off-target reads.
| Title: | SavvyCNV: Genome-wide CNV calling from off-target reads. |
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| Authors: | Thomas W Laver, Elisa De Franco, Matthew B Johnson, Kashyap A Patel, Sian Ellard, Michael N Weedon, Sarah E Flanagan, Matthew N Wakeling |
| Source: | PLoS Computational Biology, Vol 18, Iss 3, p e1009940 (2022) |
| Publisher Information: | Public Library of Science (PLoS), 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Biology (General) |
| Subject Terms: | Biology (General), QH301-705.5 |
| More Details: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1553-734X 1553-7358 |
| Relation: | https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358 |
| DOI: | 10.1371/journal.pcbi.1009940 |
| Access URL: | https://doaj.org/article/c7af70826c244fd582a17b691ca455e1 |
| Accession Number: | edsdoj.7af70826c244fd582a17b691ca455e1 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 1553734X 15537358 |
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| DOI: | 10.1371/journal.pcbi.1009940 |
| Published in: | PLoS Computational Biology |
| Language: | English |