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The Journal of Molecular Diagnostics
Article Outline
- Databases
- In Silico (Computational) Prediction Algorithms
- Variant Identification and Annotation
- Proposed Guideline for Evidence-Based Categorization of Somatic Variants
- Tier I Variants: Variants with Strong Clinical Significance (Level A and B Evidence)
- Tier II Variants: Variants with Potential Clinical Significance (Level C and D Evidence)
- Tier III Variants: Variants of Unknown Significance
- Tier IV Variants: Benign or Likely Benign
- Germline Variants Identified during Cancer Testing
- Interpretation and Reporting
- Conclusion
- Disclaimer
- Supplemental Data
- References
It is our hope that the guidelines presented herein will achieve widespread use in the cancer genomics community and engender significant improvements in the practice of genomic testing and precision care for cancer patients.
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