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Assessment of the evidence yield for the calibrated PP3/BP4 computational recommendations.

Sarah L StentonVikas PejaverTimothy BergquistLeslie G BieseckerAlicia B ByrneEmily A W NadeauMarc S GreenblattSteven M HarrisonSean V TavtigianPredrag RadivojacSteven E BrennerAnne H O'Donnell-Luria
Published in: medRxiv : the preprint server for health sciences (2024)
A small number of variants per proband reached PP3_Strong and PP3_Moderate in 3,424 disease-associated genes, and though not the intended use of the recommendations, also genome-wide. Use of PP3/BP4 evidence as recommended from calibrated computational prediction tools in the clinical diagnostic laboratory is unlikely to inappropriately contribute to the classification of an excessive number of variants as Pathogenic or Likely Pathogenic by ACMG/AMP rules.
Keyphrases
  • genome wide
  • copy number
  • dna methylation
  • clinical practice
  • machine learning
  • deep learning
  • protein kinase
  • high intensity
  • weight gain
  • transcription factor
  • genome wide analysis
  • clinical evaluation