AgileExomeFilter

AgileExomeFilter filters and prioritizes genetic variants from exome sequencing to identify potentially clinically relevant and deleterious mutations for research and diagnostic interpretation.


Key Features:

  • Rapid Variant Filtering: Enables rapid processing of large next-generation sequencing (NGS) exome datasets to identify potentially deleterious variants.
  • Automatic Variant Calling Support: Operates on variant call outputs produced by automatic variant calling from standard bioinformatics pipelines.
  • Integration with Standard Pipelines: Integrates with Unix-based bioinformatics pipelines to accept upstream variant calls for downstream filtering.
  • Scalability and Flexibility: Supports analyses ranging from targeted gene panels to whole-exome sequencing across diverse genetic disorder investigations.
  • Compatibility with Enrichment Methods: Works with data generated following targeted hybridization enrichment prior to sequencing.

Scientific Applications:

  • Cancer Predisposition Testing: Applied to targeted cancer-predisposing genes with reported high concordance to existing diagnostic data in a cohort of 128 patients.
  • Diagnosis of Genetically Heterogeneous Disorders: Used in studies of primary ciliary dyskinesia (PCD) with high diagnostic yield and identification of novel mutations such as variants in DNAH8.

Methodology:

Uses variant call outputs from automatic variant calling on Unix-based pipelines, followed by interactive filtering and parameter adjustment to refine and prioritize variant lists.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Windows
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Watson CM, Crinnion LA, Morgan JE, Harrison SM, Diggle CP, Adlard J, Lindsay HA, Camm N, Charlton R, Sheridan E, Bonthron DT, Taylor GR, Carr IM. Robust Diagnostic Genetic Testing Using Solution Capture Enrichment and a Novel Variant‐Filtering Interface. Human Mutation. 2014;35(4):434-441. doi:10.1002/humu.22490. PMID:24307375. PMCID:PMC4285299.

Documentation

Links