Evidence map›Paper›PMID 31106342›Full record

ArticleNucleic acids research2019

MutationDistiller: user-driven identification of pathogenic DNA variants.

Daniela Hombach, Markus Schuelke, Ellen Knierim, Nadja Ehmke, Jana Marie Schwarz, Björn Fischer-Zirnsak, Dominik Seelow

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. REEV: review, evaluate and explain variants.Nucleic acids research · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. Genetic Diagnostics in Routine Osteological Assessment of Adult Low Bone Mass Disorders.The Journal of clinical endocrinology and metabolism · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Computational Resources for the Interpretation of Variations in Cancer.Advances in experimental medicine and biology · 2022
    Article
  19. MutationTaster2021.Nucleic acids research · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniela HombachBerliner Institut für Gesundheitsforschung (BIH), Berlin, Germany Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Berlin, and Berlin Institute of Health, Berlin, Germany.
Markus SchuelkeNeuroCure Cluster of Excellence, Berlin, Germany.
Ellen KnierimNeuroCure Cluster of Excellence, Berlin, Germany.
Nadja EhmkeInstitute of Medical Genetics and Human Genetics, Berlin, Germany.
Jana Marie SchwarzCharité-Universitätsmedizin Berlin, Charité-BIH Centrum for Therapy and Research, Berlin, Germany.
Björn Fischer-ZirnsakInstitute of Medical Genetics and Human Genetics, Berlin, Germany.
Dominik SeelowBerliner Institut für Gesundheitsforschung (BIH), Berlin, Germany Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Berlin, and Berlin Institute of Health, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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/.

Indexed as

SoftwareDatabases, GeneticDNAExomeExome SequencingGenetic Diseases, InbornGenetic VariationHumansMutationPhenotypeUser-Computer InterfaceDNA

Identifiers

PMID31106342
PMCPMC6602447

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.