Evidence map›Paper›PMID 31037375›Full record

ArticleDer Pathologe2019

[Detection and interpretation of somatic variants in molecular pathology].

S Merkelbach-Bruse, J Rehker, J Siemanowski, F Klauschen

Abstract read
PubMed Publisher
In one paragraph

Article in Der Pathologe, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

S Merkelbach-BruseInstitut für Pathologie, Universitätsklinikum Köln, Kerpener Str. 62, Gebäude 8e, 50937, Köln, Deutschland. sabine.merkelbach-bruse@uk-koeln.de.
J RehkerInstitut für Pathologie, Universitätsklinikum Köln, Kerpener Str. 62, Gebäude 8e, 50937, Köln, Deutschland.
J SiemanowskiInstitut für Pathologie, Universitätsklinikum Köln, Kerpener Str. 62, Gebäude 8e, 50937, Köln, Deutschland.
F KlauschenInstitut für Pathologie, Charité Universitätsmedizin Berlin, Berlin, Deutschland.
University Hospital Cologne · DECentrum für Integrierte Onkologie · DEDeutschen Konsortium für Translationale Krebsforschung · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the increasing amount of data and sources of information, data evaluation is a crucial step in parallel sequencing.

objectivesIllustration of pitfalls in evaluating the variant list of parallel sequencing and recommendations regarding software tools and databases.

methodsDescription of filtering steps used, demonstration of criteria and recommendations for annotation by examples from everyday work, comparative analysis of databases with somatic variants, description of the installation of an individualized database.

resultsVariant filtering is a multistep process using information from different databases. The plausibility of variant calling should be verified using the Integrative Genomics Viewer and variants should be described according to the Human Genome Variation Society (HGVS) recommendations. Different databases, which all show advantages and disadvantages, are available for variant interpretation. An individualized database can be built up with the open-source tool cBioPortal.

conclusionsDifferent tools and databases might be used for the analysis of parallel sequencing data. The application depends on, amongst other things, the local situation and has to be extensively validated.

Indexed as

High-Throughput Nucleotide SequencingPathology, MolecularDatabases, GeneticGenetic VariationGenome, HumanHumansSoftwareAssessment of mutationsData scienceDNA sequence analysisGenetic databasesParallel sequencing

Identifiers

PMID31037375
OpenAlexW2942941012

What OpenQuestion holds

Textmetadata
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.