Evidence map›Paper›PMID 34023905›Full record

ArticleNucleic acids research2021

AnnotSV and knotAnnotSV: a web server for human structural variations annotations, ranking and analysis.

Véronique Geoffroy, Thomas Guignard, Arnaud Kress, Jean-Baptiste Gaillard, Tor Solli-Nowlan, Audrey Schalk, Vincent Gatinois, Hélène Dollfus, Sophie Scheidecker, Jean Muller

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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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

10 authors.

Véronique GeoffroyLaboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.
Thomas GuignardUnité de Génétique Chromosomique, CHU Montpellier, France.
Arnaud KressComplex Systems and Translational Bioinformatics, ICube, UMR 7357, University of Strasbourg, CNRS, FMTS, Strasbourg, France.
Jean-Baptiste GaillardUnité de Génétique Chromosomique, CHU Montpellier, France.
Tor Solli-NowlanDepartment of Medical Genetics, Oslo University Hospital, Oslo, Norway.
Audrey SchalkLaboratoires de Diagnostic Génétique, IGMA, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Vincent GatinoisUnité de Génétique Chromosomique, CHU Montpellier, France.
Hélène DollfusLaboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.
Sophie ScheideckerLaboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.
Jean MullerLaboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.ORCID 0000-0002-7682-559X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the dramatic increase of pangenomic analysis, Human geneticists have generated large amount of genomic data including millions of small variants (SNV/indel) but also thousands of structural variations (SV) mainly from next-generation sequencing and array-based techniques. While the identification of the complete SV repertoire of a patient is getting possible, the interpretation of each SV remains challenging. To help identifying human pathogenic SV, we have developed a web server dedicated to their annotation and ranking (AnnotSV) as well as their visualization and interpretation (knotAnnotSV) freely available at the following address: https://www.lbgi.fr/AnnotSV/. A large amount of annotations from >20 sources is integrated in our web server including among others genes, haploinsufficiency, triplosensitivity, regulatory elements, known pathogenic or benign genomic regions, phenotypic data. An ACMG/ClinGen compliant prioritization module allows the scoring and the ranking of SV into 5 SV classes from pathogenic to benign. Finally, the visualization interface displays the annotated SV in an interactive way including popups, search fields, filtering options, advanced colouring to highlight pathogenic SV and hyperlinks to the UCSC genome browser or other public databases. This web server is designed for diagnostic and research analysis by providing important resources to the user.

Indexed as

Genomic Structural VariationSoftwareGenome, HumanGenomicsHumansInternetMolecular Sequence AnnotationPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID34023905
PMCPMC8262758

What OpenQuestion holds

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Registered trials

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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.