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

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...

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Detalles Bibliográficos
Autores principales: Minoche, Andre E., Lundie, Ben, Peters, Greg B., Ohnesorg, Thomas, Pinese, Mark, Thomas, David M., Zankl, Andreas, Roscioli, Tony, Schonrock, Nicole, Kummerfeld, Sarah, Burnett, Leslie, Dinger, Marcel E., Cowley, Mark J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908648/
https://www.ncbi.nlm.nih.gov/pubmed/33632298
http://dx.doi.org/10.1186/s13073-021-00841-x
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00841-x.