WEScover

WEScover provides assessment of exon and gene coverage across population-scale whole exome sequencing (WES) datasets to identify incomplete coverage that could cause false negatives in variant detection.


Key Features:

  • Coverage quantification: Evaluates breadth and depth of exon and gene coverage across population-scale WES datasets.
  • Search by phenotype, panel, or gene: Allows queries by phenotype, targeted gene panels, or individual genes to focus coverage analysis on relevant genomic regions.
  • Integration with gnomAD metrics: Incorporates Genome Aggregation Database (gnomAD) coverage metrics to assess population-level coverage variability.
  • Coverage-based recommendations: Identifies genes or exons with incomplete coverage and recommends consideration of targeted gene panel testing to reduce potential false negatives.

Scientific Applications:

  • Diagnostic test selection: Guides selection between whole exome sequencing (WES) and targeted gene panel testing based on exon and gene coverage.
  • False-negative identification: Highlights genomic regions at risk of false negatives due to insufficient coverage to inform variant interpretation.
  • Population coverage assessment: Assesses coverage variability across populations using gnomAD-derived metrics for research and clinical validation.

Methodology:

Queries large-scale WES datasets to evaluate coverage of exons and genes linked to specific phenotypes or diseases and leverages gnomAD coverage metrics to characterize population-level coverage variability and identify inadequately covered regions.

Topics

Details

License:
MIT
Tool Type:
web application
Programming Languages:
R
Added:
1/2/2022
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Aggregation

Publications

Lee I, Lin Y, Alvarez WJ, Hernandez-Ferrer C, Mandl KD, Kong SW. WEScover: selection between clinical whole exome sequencing and gene panel testing. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04178-5. PMID:34016036. PMCID:PMC8139020.

PMID: 34016036
PMCID: PMC8139020
Funding: - National Institutes of Health: R01MH107205, R24OD024622, U01HG007530, U01TR002623

Links