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


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
02 07 2021
Historique:
accepted: 29 04 2021
revised: 16 04 2021
received: 11 03 2021
pubmed: 24 5 2021
medline: 22 7 2021
entrez: 23 5 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34023905
pii: 6281473
doi: 10.1093/nar/gkab402
pmc: PMC8262758
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

W21-W28

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Auteurs

Véronique Geoffroy (V)

Laboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.

Thomas Guignard (T)

Unité de Génétique Chromosomique, CHU Montpellier, France.

Arnaud Kress (A)

Complex Systems and Translational Bioinformatics, ICube, UMR 7357, University of Strasbourg, CNRS, FMTS, Strasbourg, France.

Jean-Baptiste Gaillard (JB)

Unité de Génétique Chromosomique, CHU Montpellier, France.

Tor Solli-Nowlan (T)

Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.

Audrey Schalk (A)

Laboratoires de Diagnostic Génétique, IGMA, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.

Vincent Gatinois (V)

Unité de Génétique Chromosomique, CHU Montpellier, France.

Hélène Dollfus (H)

Laboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.
Centre de référence pour les Affections Rares en Génétique Ophtalmologique, Filière SENSGENE, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.

Sophie Scheidecker (S)

Laboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.
Laboratoires de Diagnostic Génétique, IGMA, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.

Jean Muller (J)

Laboratoire de Génétique Médicale, U1112, INSERM, IGMA, FMTS, Université de Strasbourg, Strasbourg, France.
Laboratoires de Diagnostic Génétique, IGMA, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Unité Fonctionnelle de Bioinformatique Médicale appliquée au diagnostic (UF7363), Hôpitaux Universitaires de Strasbourg, Strasbourg, France.

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