Evidence map›Paper›PMID 34749640›Full record

ArticleBMC bioinformatics2021

VPMBench: a test bench for variant prioritization methods.

Andreas Ruscheinski, Anna Lena Reimler, Roland Ewald, Adelinde M Uhrmacher

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

4 authors.

Andreas RuscheinskiModeling and Simulation Group, Institute for Visual and Analytic Computing, University of Rostock, Albert-Einstein-Straße 22, 18051, Rostock, Germany. andreas.ruscheinski@uni-rostock.de.ORCID http://orcid.org/0000-0001-8821-9047
Anna Lena ReimlerModeling and Simulation Group, Institute for Visual and Analytic Computing, University of Rostock, Albert-Einstein-Straße 22, 18051, Rostock, Germany.
Roland EwaldLimbus Medical Technologies GmbH, Lindenstraße 2, 18055, Rostock, Germany.
Adelinde M UhrmacherModeling and Simulation Group, Institute for Visual and Analytic Computing, University of Rostock, Albert-Einstein-Straße 22, 18051, Rostock, Germany.

Funding

European Regional Development Fund TBI-V-1-354-VBW-122
6 · The paper itself

Abstract

backgroundClinical diagnostics of whole-exome and whole-genome sequencing data requires geneticists to consider thousands of genetic variants for each patient. Various variant prioritization methods have been developed over the last years to aid clinicians in identifying variants that are likely disease-causing. Each time a new method is developed, its effectiveness must be evaluated and compared to other approaches based on the most recently available evaluation data. Doing so in an unbiased, systematic, and replicable manner requires significant effort.

resultsThe open-source test bench "VPMBench" automates the evaluation of variant prioritization methods. VPMBench introduces a standardized interface for prioritization methods and provides a plugin system that makes it easy to evaluate new methods. It supports different input data formats and custom output data preparation. VPMBench exploits declaratively specified information about the methods, e.g., the variants supported by the methods. Plugins may also be provided in a technology-agnostic manner via containerization.

conclusionsVPMBench significantly simplifies the evaluation of both custom and published variant prioritization methods. As we expect variant prioritization methods to become ever more critical with the advent of whole-genome sequencing in clinical diagnostics, such tool support is crucial to facilitate methodological research.

Indexed as

Genetic VariationSoftwareExomeExome SequencingHumansBioinformaticsEvaluationSoftwareTest benchVariant prioritization

Identifiers

PMID34749640
PMCPMC8576923

What Socratic 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 Socratic graph.