Approaches to Classification of Variants in TP53 and Other Hereditary Cancer Genes - Ambry Genetics

Approaches to Classification of Variants in TP53 and Other Hereditary Cancer Genes - Ambry Genetics

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BRCA1/2 splicing assay calibration

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15 of 27

BRCA1/2 splicing assay calibration

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Approaches to Classification of Variants in TP53 and Other Hereditary Cancer Genes - Ambry Genetics

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  1. 1 Intro
  2. 2 Reminders
  3. 3 Logistics
  4. 4 Background - my variant classification activities
  5. 5 Overview
  6. 6 ACMG weighted qualitative classification system
  7. 7 Quantitative evidence: multifactorial likelihood analysis
  8. 8 Clinically calibrated bioinformatic information? Assess bioinformatic features of proven pathogenic and non-pathogenic variants in large datasets -Determine the proportion of pathogenic variants in a…
  9. 9 Segregation data
  10. 10 Other components of the model?
  11. 11 Alignment to ACMG codes?
  12. 12 Recent examples of calibration
  13. 13 BRCA1/2 functional assay calibration
  14. 14 Estimating Functional Assay LRs
  15. 15 BRCA1/2 splicing assay calibration
  16. 16 Strength of evidence for splicing data
  17. 17 Population allele frequency as a predictor
  18. 18 Strength of evidence for population frequency
  19. 19 TP53 ACMG code strengths - starting from scratch
  20. 20 Converting bioinformatic predictions to ACMG/AMP
  21. 21 Comparing tool performance
  22. 22 Comparing performance for tools in combination
  23. 23 Specifying PM5 ACMGIAMP rule for TP53
  24. 24 Using somatic data - somatic to germline ratio
  25. 25 Using somatic data - Second hit
  26. 26 Conclusions
  27. 27 Acknowledgements for work presented here

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