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VPMBench: a test bench for variant prioritization methods

BACKGROUND: Clinical diagnostics of whole-exome and whole-genome sequencing data requires geneticists to consider thousands of genetic variants for each patient. Various variant prioritization methods have been developed over the last years to aid clinicians in identifying variants that are likely d...

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Autores principales: Ruscheinski, Andreas, Reimler, Anna Lena, Ewald, Roland, Uhrmacher, Adelinde M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576923/
https://www.ncbi.nlm.nih.gov/pubmed/34749640
http://dx.doi.org/10.1186/s12859-021-04458-0
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author Ruscheinski, Andreas
Reimler, Anna Lena
Ewald, Roland
Uhrmacher, Adelinde M.
author_facet Ruscheinski, Andreas
Reimler, Anna Lena
Ewald, Roland
Uhrmacher, Adelinde M.
author_sort Ruscheinski, Andreas
collection PubMed
description BACKGROUND: Clinical diagnostics of whole-exome and whole-genome sequencing data requires geneticists to consider thousands of genetic variants for each patient. Various variant prioritization methods have been developed over the last years to aid clinicians in identifying variants that are likely disease-causing. Each time a new method is developed, its effectiveness must be evaluated and compared to other approaches based on the most recently available evaluation data. Doing so in an unbiased, systematic, and replicable manner requires significant effort. RESULTS: The open-source test bench “VPMBench” automates the evaluation of variant prioritization methods. VPMBench introduces a standardized interface for prioritization methods and provides a plugin system that makes it easy to evaluate new methods. It supports different input data formats and custom output data preparation. VPMBench exploits declaratively specified information about the methods, e.g., the variants supported by the methods. Plugins may also be provided in a technology-agnostic manner via containerization. CONCLUSIONS: VPMBench significantly simplifies the evaluation of both custom and published variant prioritization methods. As we expect variant prioritization methods to become ever more critical with the advent of whole-genome sequencing in clinical diagnostics, such tool support is crucial to facilitate methodological research.
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spelling pubmed-85769232021-11-10 VPMBench: a test bench for variant prioritization methods Ruscheinski, Andreas Reimler, Anna Lena Ewald, Roland Uhrmacher, Adelinde M. BMC Bioinformatics Software BACKGROUND: Clinical diagnostics of whole-exome and whole-genome sequencing data requires geneticists to consider thousands of genetic variants for each patient. Various variant prioritization methods have been developed over the last years to aid clinicians in identifying variants that are likely disease-causing. Each time a new method is developed, its effectiveness must be evaluated and compared to other approaches based on the most recently available evaluation data. Doing so in an unbiased, systematic, and replicable manner requires significant effort. RESULTS: The open-source test bench “VPMBench” automates the evaluation of variant prioritization methods. VPMBench introduces a standardized interface for prioritization methods and provides a plugin system that makes it easy to evaluate new methods. It supports different input data formats and custom output data preparation. VPMBench exploits declaratively specified information about the methods, e.g., the variants supported by the methods. Plugins may also be provided in a technology-agnostic manner via containerization. CONCLUSIONS: VPMBench significantly simplifies the evaluation of both custom and published variant prioritization methods. As we expect variant prioritization methods to become ever more critical with the advent of whole-genome sequencing in clinical diagnostics, such tool support is crucial to facilitate methodological research. BioMed Central 2021-11-08 /pmc/articles/PMC8576923/ /pubmed/34749640 http://dx.doi.org/10.1186/s12859-021-04458-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Software
Ruscheinski, Andreas
Reimler, Anna Lena
Ewald, Roland
Uhrmacher, Adelinde M.
VPMBench: a test bench for variant prioritization methods
title VPMBench: a test bench for variant prioritization methods
title_full VPMBench: a test bench for variant prioritization methods
title_fullStr VPMBench: a test bench for variant prioritization methods
title_full_unstemmed VPMBench: a test bench for variant prioritization methods
title_short VPMBench: a test bench for variant prioritization methods
title_sort vpmbench: a test bench for variant prioritization methods
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576923/
https://www.ncbi.nlm.nih.gov/pubmed/34749640
http://dx.doi.org/10.1186/s12859-021-04458-0
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