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MutationDistiller: user-driven identification of pathogenic DNA variants

MutationDistiller is a freely available online tool for user-driven analyses of Whole Exome Sequencing data. It offers a user-friendly interface aimed at clinicians and researchers, who are not necessarily bioinformaticians. MutationDistiller combines MutationTaster's pathogenicity predictions...

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Autores principales: Hombach, Daniela, Schuelke, Markus, Knierim, Ellen, Ehmke, Nadja, Schwarz, Jana Marie, Fischer-Zirnsak, Björn, Seelow, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602447/
https://www.ncbi.nlm.nih.gov/pubmed/31106342
http://dx.doi.org/10.1093/nar/gkz330
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author Hombach, Daniela
Schuelke, Markus
Knierim, Ellen
Ehmke, Nadja
Schwarz, Jana Marie
Fischer-Zirnsak, Björn
Seelow, Dominik
author_facet Hombach, Daniela
Schuelke, Markus
Knierim, Ellen
Ehmke, Nadja
Schwarz, Jana Marie
Fischer-Zirnsak, Björn
Seelow, Dominik
author_sort Hombach, Daniela
collection PubMed
description MutationDistiller is a freely available online tool for user-driven analyses of Whole Exome Sequencing data. It offers a user-friendly interface aimed at clinicians and researchers, who are not necessarily bioinformaticians. MutationDistiller combines MutationTaster's pathogenicity predictions with a phenotype-based approach. Phenotypic information is not limited to symptoms included in the Human Phenotype Ontology (HPO), but may also comprise clinical diagnoses and the suspected mode of inheritance. The search can be restricted to lists of candidate genes (e.g. virtual gene panels) and by tissue-specific gene expression. The inclusion of GeneOntology (GO) and metabolic pathways facilitates the discovery of hitherto unknown disease genes. In a novel approach, we trained MutationDistiller's HPO-based prioritization on authentic genotype–phenotype sets obtained from ClinVar and found it to match or outcompete current prioritization tools in terms of accuracy. In the output, the program provides a list of potential disease mutations ordered by the likelihood of the affected genes to cause the phenotype. MutationDistiller provides links to gene-related information from various resources. It has been extensively tested by clinicians and their suggestions have been valued in many iterative cycles of revisions. The tool, a comprehensive documentation and examples are freely available at https://www.mutationdistiller.org/
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spelling pubmed-66024472019-07-05 MutationDistiller: user-driven identification of pathogenic DNA variants Hombach, Daniela Schuelke, Markus Knierim, Ellen Ehmke, Nadja Schwarz, Jana Marie Fischer-Zirnsak, Björn Seelow, Dominik Nucleic Acids Res Web Server Issue MutationDistiller is a freely available online tool for user-driven analyses of Whole Exome Sequencing data. It offers a user-friendly interface aimed at clinicians and researchers, who are not necessarily bioinformaticians. MutationDistiller combines MutationTaster's pathogenicity predictions with a phenotype-based approach. Phenotypic information is not limited to symptoms included in the Human Phenotype Ontology (HPO), but may also comprise clinical diagnoses and the suspected mode of inheritance. The search can be restricted to lists of candidate genes (e.g. virtual gene panels) and by tissue-specific gene expression. The inclusion of GeneOntology (GO) and metabolic pathways facilitates the discovery of hitherto unknown disease genes. In a novel approach, we trained MutationDistiller's HPO-based prioritization on authentic genotype–phenotype sets obtained from ClinVar and found it to match or outcompete current prioritization tools in terms of accuracy. In the output, the program provides a list of potential disease mutations ordered by the likelihood of the affected genes to cause the phenotype. MutationDistiller provides links to gene-related information from various resources. It has been extensively tested by clinicians and their suggestions have been valued in many iterative cycles of revisions. The tool, a comprehensive documentation and examples are freely available at https://www.mutationdistiller.org/ Oxford University Press 2019-07-02 2019-05-20 /pmc/articles/PMC6602447/ /pubmed/31106342 http://dx.doi.org/10.1093/nar/gkz330 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Hombach, Daniela
Schuelke, Markus
Knierim, Ellen
Ehmke, Nadja
Schwarz, Jana Marie
Fischer-Zirnsak, Björn
Seelow, Dominik
MutationDistiller: user-driven identification of pathogenic DNA variants
title MutationDistiller: user-driven identification of pathogenic DNA variants
title_full MutationDistiller: user-driven identification of pathogenic DNA variants
title_fullStr MutationDistiller: user-driven identification of pathogenic DNA variants
title_full_unstemmed MutationDistiller: user-driven identification of pathogenic DNA variants
title_short MutationDistiller: user-driven identification of pathogenic DNA variants
title_sort mutationdistiller: user-driven identification of pathogenic dna variants
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602447/
https://www.ncbi.nlm.nih.gov/pubmed/31106342
http://dx.doi.org/10.1093/nar/gkz330
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