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Variant Score Ranker-a web application for intuitive missense variant prioritization

Authors :
Mark J. Daly
Ben Weisburd
Laurent C. Francioli
Costin Leu
Timothy Poterba
Eduardo Pérez-Palma
Patrick May
Juanjiangmeng Du
Monica Sudarsanam
Dennis Lal
Peter Nürnberg
Sumaiya Iqbal
Aarno Palotie
Andrea Ganna
Lisa-Marie Niestroj
Source :
Bioinformatics (Oxford, England). 35(21)
Publication Year :
2018

Abstract

Motivation The correct classification of missense variants as benign or pathogenic remains challenging. Pathogenic variants are expected to have higher deleterious prediction scores than benign variants in the same gene. However, most of the existing variant annotation tools do not reference the score range of benign population variants on gene level. Results We present a web-application, Variant Score Ranker, which enables users to rapidly annotate variants and perform gene-specific variant score ranking on the population level. We also provide an intuitive example of how gene- and population-calibrated variant ranking scores can improve epilepsy variant prioritization. Availability and implementation http://vsranker.broadinstitute.org Supplementary information Supplementary data are available at Bioinformatics online.

Details

ISSN :
13674811
Volume :
35
Issue :
21
Database :
OpenAIRE
Journal :
Bioinformatics (Oxford, England)
Accession number :
edsair.doi.dedup.....4fc7136cf6ea0a5d45ecb4cd1e88c2ab