Evidence map›Paper›PMID 25780760›Full record

ArticlePeerJ2015

VaRank: a simple and powerful tool for ranking genetic variants.

Véronique Geoffroy, Cécile Pizot, Claire Redin, Amélie Piton, Nasim Vasli, Corinne Stoetzel, André Blavier, Jocelyn Laporte, Jean Muller

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 4 institutions in 1 country.

Véronique GeoffroyLaboratoire de Génétique médicale, UMR_S INSERM U1112, IGMA, Faculté de Médecine FMTS, Université de Strasbourg , Strasbourg , France ; IGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg , Illkirch Cedex , France.
Cécile PizotIGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg , Illkirch Cedex , France.
Claire RedinIGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg , Illkirch Cedex , France.
Amélie PitonIGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg , Illkirch Cedex , France ; Laboratoire de Diagnostic Génétique, Hôpitaux Universitaires de Strasbourg , Strasbourg Cedex , France.
Nasim VasliIGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg , Illkirch Cedex , France.
Corinne StoetzelLaboratoire de Génétique médicale, UMR_S INSERM U1112, IGMA, Faculté de Médecine FMTS, Université de Strasbourg , Strasbourg , France.
André BlavierInteractive Biosoftware , Rouen , France.
Jocelyn LaporteIGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg , Illkirch Cedex , France.
Jean MullerIGBMC, CNRS UMR 7104/INSERM U964/Université de Strasbourg , Illkirch Cedex , France ; Laboratoire de Diagnostic Génétique, Hôpitaux Universitaires de Strasbourg , Strasbourg Cedex , France ; Laboratoire ICUBE, UMR CNRS 7357, LBGI, Université de Strasbourg , Strasbourg , France.
Inserm · FRUniversité de Strasbourg · FRCentre National de la Recherche Scientifique · FRInstitut de génétique et de biologie moléculaire et cellulaire · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Most genetic disorders are caused by single nucleotide variations (SNVs) or small insertion/deletions (indels). High throughput sequencing has broadened the catalogue of human variation, including common polymorphisms, rare variations or disease causing mutations. However, identifying one variation among hundreds or thousands of others is still a complex task for biologists, geneticists and clinicians. Results. We have developed VaRank, a command-line tool for the ranking of genetic variants detected by high-throughput sequencing. VaRank scores and prioritizes variants annotated either by Alamut Batch or SnpEff. A barcode allows users to quickly view the presence/absence of variants (with homozygote/heterozygote status) in analyzed samples. VaRank supports the commonly used VCF input format for variants analysis thus allowing it to be easily integrated into NGS bioinformatics analysis pipelines. VaRank has been successfully applied to disease-gene identification as well as to molecular diagnostics setup for several hundred patients. Conclusions. VaRank is implemented in Tcl/Tk, a scripting language which is platform-independent but has been tested only on Unix environment. The source code is available under the GNU GPL, and together with sample data and detailed documentation can be downloaded from http://www.lbgi.fr/VaRank/.

Indexed as

AnnotationBarcodeHuman geneticsMolecular diagnosticMutation detectionNext generation sequencingSoftwareVariant ranking

Identifiers

PMID25780760
PMCPMC4358652
OpenAlexW2162423230

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.