Variant Score Ranker

Variant Score Ranker ranks missense variants by comparing their deleterious prediction scores to gene-specific benign population score ranges to prioritize pathogenic variants.


Key Features:

  • Variant annotation: Annotates missense variants with deleterious prediction scores.
  • Gene-specific population calibration: Derives calibrated benign score ranges for each gene from population variant data.
  • Score comparison and ranking: Compares deleterious prediction scores of missense variants against gene-specific benign ranges and ranks variants accordingly.
  • Pathogenicity prioritization: Integrates gene- and population-calibrated scoring to prioritize variants for pathogenicity assessment.

Scientific Applications:

  • Epilepsy research: Prioritizes candidate missense variants in epilepsy studies using gene- and population-calibrated scores.
  • Missense variant pathogenicity assessment: Improves classification and ranking of missense variants by contextualizing deleterious scores within gene-specific population ranges.
  • Population-level variant prioritization: Enables gene-level ranking of variants across population data for research requiring population calibration.

Methodology:

Annotates missense variants, derives gene-specific benign score ranges from population variant data, compares deleterious prediction scores to these calibrated ranges, and ranks variants accordingly.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Du J, Sudarsanam M, Pérez-Palma E, Ganna A, Francioli L, Iqbal S, Niestroj L, Leu C, Weisburd B, Poterba T, Nürnberg P, Daly MJ, Palotie A, May P, Lal D. Variant Score Ranker—a web application for intuitive missense variant prioritization. Bioinformatics. 2019;35(21):4478-4479. doi:10.1093/bioinformatics/btz252. PMID:31086968.

PMID: 31086968
Funding: - Koeln Fortune: 241/2017 - Heinz und Heide Dürr Stiftung: 2017/2.2.1/03

Documentation