Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783655763807305728 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Minoche, Andre E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7908648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79086482021-02-26 ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data 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. Genome Med Method 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. BioMed Central 2021-02-25 /pmc/articles/PMC7908648/ /pubmed/33632298 http://dx.doi.org/10.1186/s13073-021-00841-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Method 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. ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data |
title | ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data |
title_full | ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data |
title_fullStr | ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data |
title_full_unstemmed | ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data |
title_short | ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data |
title_sort | clinsv: clinical grade structural and copy number variant detection from whole genome sequencing data |
topic | Method |
url | 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 |
work_keys_str_mv | AT minocheandree clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT lundieben clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT petersgregb clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT ohnesorgthomas clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT pinesemark clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT thomasdavidm clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT zanklandreas clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT rosciolitony clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT schonrocknicole clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT kummerfeldsarah clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT burnettleslie clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT dingermarcele clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata AT cowleymarkj clinsvclinicalgradestructuralandcopynumbervariantdetectionfromwholegenomesequencingdata |