Evidence map›Paper›PMID 31022234›Full record

ArticlePloS one2019

VarWatch-A stand-alone software tool for variant matching.

Broder Fredrich, Marcus Schmöhl, Olaf Junge, Sven Gundlach, David Ellinghaus, Arne Pfeufer, Thomas Bettecken, Roman Siddiqui, Andre Franke, Thomas F Wienker and 2 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Broder FredrichInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.
Marcus SchmöhlInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.
Olaf JungeInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.
Sven GundlachInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.
David EllinghausInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.
Arne PfeuferHumangenetische Praxis PD Dr. Pfeufer, München, Germany.
Thomas BetteckenMVZ für Molekulardiagnostik GmbH, München, Germany.
Roman SiddiquiTMF - Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V., Berlin, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.
Thomas F WienkerMax Planck Institute for Molecular Genetics, Berlin, Germany.
Marc P HoeppnerInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.ORCID 0000-0002-0279-2270
Michael KrawczakInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massively parallel DNA sequencing of clinical samples holds great promise for the gene-based diagnosis of human inherited diseases because it allows rapid detection of putatively causative mutations at genome-wide level. Without additional evidence complementing their initial bioinformatics evaluation, however, the clinical relevance of such candidate genetic variants often remains unclear. In consequence, dedicated 'matching' services have been established in recent years that aim at the discovery of other, comparable case reports to facilitate individual diagnoses. However, legal concerns have been raised about the global sharing of genetic data, particularly in Europe where the recently enacted General Data Protection Regulation EU-2016/679 classifies genetic data as highly sensitive. Hence, unrestricted sharing of genetic data from clinical cases on platforms outside the national jurisdiction increasingly may be perceived as problematic. To allow collaborative data producers, particularly large consortia of diagnostic laboratories, to acknowledge these concerns while still practicing efficient case matching internally, novel tools are required. To this end, we developed VarWatch, an easy-to-deploy and highly scalable case matching software that provides users with comprehensive programmatic tools and a user-friendly interface to fulfil said purpose.

Indexed as

SoftwareComputational BiologyDatasets as TopicGenetic Diseases, InbornGenetic TestingGenetic VariationGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID31022234
PMCPMC6483337

What OpenQuestion holds

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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.