Cited by 2,975Genomics and Rare DiseasesGenetic Associations and EpidemiologyCancer Genomics and Diagnostics

MutationTaster evaluates disease-causing potential of sequence alterations

Schwarz, Jana Marie, Rödelsperger, Christian, Schuelke, Markus, Seelow, Dominik·2010·Nature Methods

Integrity signals

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Crossref · 10.1038/nmeth0810-575

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Authors
Schwarz, J. M., Rödelsperger, C., Schuelke, M., & Seelow, D.
Affiliations
Charité – Universitätsmedizin Berlin (DE)
Corresponding author
Seelow, Dominik
Venue
Nature Methods
Published
2010-08
Volume
7
Issue
8
Pages
575-576
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2076357933
Cited by
2,975
References
1
Citations by year
2026: 74 · 2025: 122 · 2024: 165 · 2023: 146 · 2022: 208 · 2021: 211 · 2020: 197 · 2019: 236 · 2018: 214 · 2017: 200 · 2016: 261 · 2015: 270 · 2014: 301 · 2013: 198 · 2012: 112
FWCI
65.18
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Methods (publishedVersion)
  • PubMed (publishedVersion)
Funders
Deutsche Forschungsgemeinschaft
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Keywords
genetic variants, variant pathogenicity prediction, deleterious mutation prediction, compound heterozygosity
MeSH terms
Artificial Intelligence, Base Sequence, Disease, Mutation, Predictive Value of Tests, Software, Computational Biology, Databases, Nucleic Acid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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