FIREVAT
FIREVAT refines somatic variant calls in human cancer genomes by leveraging Pan-cancer Analysis of Whole Genomes (PCAWG)-derived mutational signatures to distinguish sequencing artifacts from true somatic mutations.
Key Features:
- R package implementation: Implemented as an R package for computational variant refinement.
- PCAWG mutational signatures: Leverages mutational signatures identified by the Pan-cancer Analysis of Whole Genomes (PCAWG) study to evaluate and refine somatic mutations.
- Input format: Accepts Variant Call Format (VCF) files as input.
- Report generation: Produces a comprehensive report detailing the variant refinement process and outcomes.
- Improved accuracy: Removes artifactual point mutations to improve precision and specificity in identifying true somatic mutations.
- Orthogonal validation: Validated using orthogonal sequencing datasets comprising 384 tumor samples against ground truth benchmarks.
- Comparative performance: Demonstrated superior performance relative to existing filtering approaches.
- TCGA validation: Validated on 308 The Cancer Genome Atlas (TCGA) samples, identifying more biologically and clinically relevant mutational signatures and enriching sequence contexts associated with experimental errors.
Scientific Applications:
- Variant refinement for precision oncology: Refining somatic variant calls in cancer genome studies to support precision oncology analyses.
- Artifact discrimination: Distinguishing sequencing-induced artifactual point mutations from true somatic variants in tumor sequencing data.
- Mutational signature analysis: Detecting and enriching PCAWG-derived mutational signatures relevant to cancer biology and clinical interpretation.
- Quality control and validation: Providing orthogonal validation of variant calls using independent sequencing datasets.
- Data improvement for downstream analyses: Improving variant data quality for prognostic and therapeutic decision-making.
Methodology:
FIREVAT uses PCAWG-derived mutational signatures to evaluate and refine somatic variants from a Variant Call Format (VCF) file and outputs a comprehensive report; performance was validated on orthogonal sequencing datasets (384 tumor samples) and 308 TCGA samples.
Topics
Details
- License:
- MIT
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/14/2020
- Last Updated:
- 12/28/2020
Operations
Publications
Kim H, Lee AJ, Lee J, Chun H, Ju YS, Hong D. FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures. Genome Medicine. 2019;11(1). doi:10.1186/s13073-019-0695-x. PMID:31847917. PMCID:PMC6916105.