MutationTaster2021. Issue Volume 49:Issue W1(2021) (24th April 2021)

• Record Type: Journal Article
• Authors: Steinhaus, Robin; Proft, Sebastian; Schuelke, Markus; Cooper, David N; Schwarz, Jana Marie; Seelow, Dominik
• Is Part Of: Nucleic acids research. Volume 49:Issue W1(2021)
• Page Start: W446
• Page End: W451
• Publication Date: 2021-04-24
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkab266
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Here we present an update to MutationTaster, our DNA variant effect prediction tool. The new version uses a different prediction model and attains higher accuracy than its predecessor, especially for rare benign variants. In addition, we have integrated many sources of data that only became available after the last release (such as gnomAD and ExAC pLI scores) and changed the splice site prediction model. To more easily assess the relevance of detected known disease mutations to the clinical phenotype of the patient, MutationTaster now provides information on the diseases they cause. Further changes represent a major overhaul of the interfaces to increase user-friendliness whilst many changes under the hood have been designed to accelerate the processing of uploaded VCF files. We also offer an API for the rapid automated query of smaller numbers of variants from within other software. MutationTaster2021 integrates our disease mutation search engine, MutationDistiller, to prioritise variants from VCF files using the patient's clinical phenotype. The novel version is available at https://www.genecascade.org/MutationTaster2021/ . This website is free and open to all users and there is no login requirement. Graphical Abstract: