Evidence map›Paper›PMID 28520890›Full record

ArticleNucleic acids research2017

VCF.Filter: interactive prioritization of disease-linked genetic variants from sequencing data.

Heiko Müller, Raul Jimenez-Heredia, Ana Krolo, Tatjana Hirschmugl, Jasmin Dmytrus, Kaan Boztug, Christoph Bock

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

26 citing papers in PubMed, 43 citations in OpenAlex.

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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 at 3 institutions in 3 countries.

Heiko MüllerLudwig Boltzmann Institute for Rare and Undiagnosed Diseases, 1090 Vienna, Austria.
Raul Jimenez-HerediaLudwig Boltzmann Institute for Rare and Undiagnosed Diseases, 1090 Vienna, Austria.
Ana KroloLudwig Boltzmann Institute for Rare and Undiagnosed Diseases, 1090 Vienna, Austria.
Tatjana HirschmuglLudwig Boltzmann Institute for Rare and Undiagnosed Diseases, 1090 Vienna, Austria.
Jasmin DmytrusLudwig Boltzmann Institute for Rare and Undiagnosed Diseases, 1090 Vienna, Austria.
Kaan BoztugLudwig Boltzmann Institute for Rare and Undiagnosed Diseases, 1090 Vienna, Austria.
Christoph BockLudwig Boltzmann Institute for Rare and Undiagnosed Diseases, 1090 Vienna, Austria.
Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases · ATCeMM Research Center for Molecular Medicine · ATMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing is widely used to link genetic variants to diseases, and it has massively accelerated the diagnosis and characterization of rare genetic diseases. After initial bioinformatic data processing, the interactive analysis of genome, exome, and panel sequencing data typically starts from lists of genetic variants in VCF format. Medical geneticists filter and annotate these lists to identify variants that may be relevant for the disease under investigation, or to select variants that are reported in a clinical diagnostics setting. We developed VCF.Filter to facilitate the search for disease-linked variants, providing a standalone Java program with a user-friendly interface for interactive variant filtering and annotation. VCF.Filter allows the user to define a broad range of filtering criteria through a graphical interface. Common workflows such as trio analysis and cohort-based filtering are pre-configured, and more complex analyses can be performed using VCF.Filter's support for custom annotations and filtering criteria. All filtering is documented in the results file, thus providing traceability of the interactive variant prioritization. VCF.Filter is an open source tool that is freely and openly available at http://vcffilter.rarediseases.at.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingSoftwareDiseaseHumansInternetUser-Computer Interface

Identifiers

PMID28520890
PMCPMC5570181
OpenAlexW2616026176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.