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

Authors :
Andre E. Minoche
Ben Lundie
Greg B. Peters
Thomas Ohnesorg
Mark Pinese
David M. Thomas
Andreas Zankl
Tony Roscioli
Nicole Schonrock
Sarah Kummerfeld
Leslie Burnett
Marcel E. Dinger
Mark J. Cowley
Source :
Genome Medicine, Vol 13, Iss 1, Pp 1-19 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

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 .

Details

Language :
English
ISSN :
1756994X
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.5ca2cd5ac8244f85b8154567b73ff3e2
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-021-00841-x