Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant
Sarah E Brnich1, Ahmad N Abou Tayoun2, Fergus J Couch3
1Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, 120 Mason Farm Rd., Chapel Hill, NC, 27599-7264, USA.
This study provides structured guidance for evaluating functional assays in clinical variant interpretation, aiming to reduce discordance between laboratories. A minimum of 11 variant controls is recommended for moderate evidence strength.
Area of Science:
- Genetics
- Molecular Biology
- Clinical Diagnostics
Background:
- Current clinical variant interpretation guidelines lack detailed methods for evaluating functional assay evidence.
- Inconsistent application of functional evidence codes (PS3/BS3) contributes to inter-laboratory variant interpretation discrepancies.
- There is a need for a standardized framework to assess the clinical validity and strength of functional assay data.
Purpose of the Study:
- To develop a structured approach for evaluating functional assays in clinical variant interpretation.
- To refine the criteria for using strong evidence codes (PS3/BS3) based on functional assay validation.
- To provide guidance on determining the appropriate strength of evidence from functional assays.
Main Methods:
- The Clinical Genome Resource (ClinGen) Sequence Variant Interpretation (SVI) Working Group convened experts to refine PS3/BS3 criteria.
- Functional evidence was curated, and the odds of pathogenicity were estimated for assays with varying numbers of variant controls.
- Recommendations were developed through iterative feedback from expert panels and steering committees.
Main Results:
- A four-step framework was established for assessing functional data, including defining disease mechanisms, evaluating assay applicability and validity, and applying evidence to variants.
- A minimum of 11 total pathogenic and benign variant controls are necessary to achieve moderate-level evidence without rigorous statistical analysis.
- Recommendations provide clarity on evaluating functional assay data for clinical variant interpretation.
Conclusions:
- The developed recommendations offer a clearer process for functional evidence evaluation in clinical variant interpretation.
- This work aims to improve consistency and reduce discordance in variant classification.
- The study encourages collaboration between clinical geneticists and basic scientists developing functional assays.
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