Genome MedicineGenetic & Genomic MedicinePeer-reviewed journal article
ClinSV: Clinical grade structural and copy number variant detection from whole genome sequencing data
André E. MinocheiD, Ben LundieiD, Greg B. PetersiD, Thomas OhnesorgiD, Mark PineseiD, David Morgan ThomasiD, Andreas ZankliD, Tony RoscioliiD, Nicole Schönrock, Sarah KummerfeldiD, Leslie BurnettiD, Marcel E. DingeriD, Mark J. CowleyiD
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, prioritisation and visualisation method, which identified 99.8% of pathogenic ClinVar CNVs >10kb 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.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 70
- FWCI
- 8.47
- Field percentile
- top 1%
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