VIC

VIC classifies somatic sequence variants in cancer according to the 2017 AMP, ASCO, and CAP guidelines to support standardized interpretation of clinical significance.


Key Features:

  • Guideline-Based Variant Classification: Interprets somatic variants using the four-tier classification framework defined by the Association for Molecular Pathology (AMP), American Society of Clinical Oncology (ASCO), and College of American Pathologists (CAP).
  • Automated Evidence-Based Interpretation: Processes pre-annotated variant files to automatically evaluate evidence criteria used in somatic variant classification.
  • Integration of External Databases and Predictive Tools: Incorporates information from publicly available databases and predictive software programs to support variant interpretation.
  • Customizable Evidence Incorporation: Allows additional evidence to be integrated to refine classification of clinical significance.

Scientific Applications:

  • Cancer Variant Interpretation: Classifies somatic sequence variants identified in cancer sequencing datasets.
  • Clinical Genomics Analysis: Supports interpretation of clinically relevant cancer variants in diagnostic sequencing panels.
  • Precision Oncology Research: Facilitates systematic evaluation of genetic variants associated with cancer pathogenesis and treatment response.

Methodology:

VIC analyzes pre-annotated somatic variant files, evaluates evidence criteria defined in the AMP, ASCO, and CAP 2017 guidelines using information from public databases and predictive software, and assigns variants to a four-tier clinical significance classification.

Topics

Details

Programming Languages:
Java
Added:
11/14/2019
Last Updated:
1/2/2021

Operations

Publications

He MM, Li Q, Yan M, Cao H, Hu Y, He KY, Cao K, Li MM, Wang K. Variant Interpretation for Cancer (VIC): a computational tool for assessing clinical impacts of somatic variants. Genome Medicine. 2019;11(1). doi:10.1186/s13073-019-0664-4. PMID:31443733. PMCID:PMC6708137.

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