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.

PMID: 31847917
PMCID: PMC6916105
Funding: - National Cancer Center Korea: NCC-1810865, NCC-1910250 - Korea Health Industry Development Institute: HI16C2387 - National Research Foundation of Korea: NRF-2019R1A2C1091023