dc.contributor.author
Hombach, Daniela
dc.contributor.author
Schuelke, Markus
dc.contributor.author
Knierim, Ellen
dc.contributor.author
Ehmke, Nadja
dc.contributor.author
Schwarz, Jana Marie
dc.contributor.author
Fischer-Zirnsak, Björn
dc.contributor.author
Seelow, Dominik
dc.date.accessioned
2019-08-20T08:49:53Z
dc.date.available
2019-08-20T08:49:53Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/25329
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-4032
dc.description.abstract
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 Mutation- Taster’s pathogenicity predictions with a phenotypebased 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/
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Whole Exome Sequencing (WES)
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
MutationDistiller: user-driven identification of pathogenic DNA variants
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1093/nar/gkz330
dcterms.bibliographicCitation.journaltitle
Nucleic Acids Research
dcterms.bibliographicCitation.number
W1
dcterms.bibliographicCitation.originalpublishername
Oxford University Press
dcterms.bibliographicCitation.pagestart
W114
dcterms.bibliographicCitation.pageend
W120
dcterms.bibliographicCitation.volume
47
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
31106342
dcterms.isPartOf.eissn
1362-4962