VCF-DART

VCF-DART annotates and prioritizes genetic variants in Variant Call Format (VCF) derived from next-generation sequencing (NGS) exome and genome data to support clinical variant interpretation.


Key Features:

  • Customizable analysis pipeline: Uses custom gene lists to categorize variants into analysis tiers for targeted interpretation.
  • Variant annotation and reporting: Integrates publicly available databases to annotate variants and support classification and curation.
  • Variant prioritization and subcategorization: Applies standard parameters to prioritize variants based on clinical relevance and subcategorize them for downstream analysis.
  • Robust logging system: Records analysis parameters and database versions to support reproducibility and comparison across analyses.
  • VCF input support: Processes Variant Call Format (VCF) files from exome and genome NGS datasets.

Scientific Applications:

  • Clinical genetics and diagnostics: Supports identification and reporting of pathogenic and clinically relevant variants from exome and genome sequencing.
  • Variant classification and curation: Facilitates integration of public database annotations into diagnostic variant classification and curation workflows.
  • Genomic medicine and diagnostic reporting: Enables prioritization of variants for diagnostic reporting and genomic medicine decision-making.

Methodology:

Processes VCFs from exome/genome NGS, applies custom gene lists and standard parameters to prioritize and subcategorize variants, annotates variants using publicly available databases, and logs parameters and database versions.

Topics

Details

Added:
11/14/2019
Last Updated:
1/2/2021

Operations

Publications

Benton MC, Smith RA, Haupt LM, Sutherland HG, Dunn PJ, Albury CL, Maksemous N, Lea R, Griffiths L. Variant Call Format–Diagnostic Annotation and Reporting Tool. The Journal of Molecular Diagnostics. 2019;21(6):951-960. doi:10.1016/j.jmoldx.2019.07.001. PMID:31442673.

PMID: 31442673
Funding: - National Health and Medical Research Council: APP1122387

Links