CIViC is an open access, open source, community-driven web resource for the Clinical Interpretation of Variants in Cancer. The dataset aggregates interpretations from the biomedical literature to predict responses to targeted cancer therapies. It is maintained by The Griffith Lab at Washington University School of Medicine and is licensed under CC0-1.0.
Use Cases
- Training or validating variant classification models based on community-curated clinical evidence.
- Building knowledge bases for clinical decision support systems in oncology.
- Researching associations between specific genetic mutations and targeted therapy responses.
- Analyzing trends in cancer genomics literature and clinical interpretation.
Strengths
- Open access and open source under a permissive CC0-1.0 license.
- Community-driven curation model designed to centralize and debate clinical interpretations.
- Explicitly targets a critical gap in precision medicine by aggregating dispersed knowledge.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and last update date are unknown, which may limit suitability assessment.
Provenance
- Source
- The Griffith Lab at Washington University School of Medicine
- Collection Method
- Community-driven curation from the biomedical literature.
- Time Range
- null
- Freshness
- Last updated date is unknown; freshness unverified.
- Geography
- null