Publications
ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data
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 .
| Type | Journal |
|---|---|
| ISBN | 1756-994X (Electronic) 1756-994X (Linking) |
| Authors | Minoche, A. E.; Lundie, B.; Peters, G. B.; Ohnesorg, T.; Pinese, M.; Thomas, D. M.; Zankl, A.; Roscioli, T.; Schonrock, N.; Kummerfeld, S.; Burnett, L.; Dinger, M. E.; Cowley, M. J. |
| Publisher Name | Genome Medicine |
| Published Date | 2021-02-28 |
| Published Volume | 13 |
| Published Issue | 1 |
| Published Pages | 32 |
| Status | Published in-print |
| DOI | 10.1186/s13073-021-00841-x |
| URL link to publisher's version | https://www.ncbi.nlm.nih.gov/pubmed/33632298 |