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Add new points based ACMG classification #514
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julesjacobsen
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Sep 6, 2023
…acking frequency information. Update Acgs2020Classifier and Acmg2015Classifier to allow for PVS1 and PM2_Supporting are sufficient to trigger LIKELY_PATHOGENIC Change for issue #514 update AcmgEvidence to fit a Bayesian points-based system Add new Acmg2020PointsBasedClassifier to classify AcmgEvidence based on points
This is all based on the new ACMG classification that is about to released very soon right? Is it worth waiting for that in case of any last minute tweaks or is that on the website anyway? |
julesjacobsen
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Sep 15, 2023
…acking frequency information. Update Acgs2020Classifier and Acmg2015Classifier to allow for PVS1 and PM2_Supporting are sufficient to trigger LIKELY_PATHOGENIC Change for issue #514 update AcmgEvidence to fit a Bayesian points-based system Add new Acmg2020PointsBasedClassifier to classify AcmgEvidence based on points
No, this is just updating to the current latest recommendations. |
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The ClinGen SVI working group recommend using a points based system for calculating ACMG classifications
This is based on their earlier publication Modeling the ACMG/AMP variant classification gudielines as a Bayesian classification framework
Exomiser uses the recommendations for PP3/BP4 scaling based on the REVEL score detailed in Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria which crucially allow for BP4_Moderate which was not accounted for in the original ACMG/AMP recommendations. The authors mention:
Given the changes in strengths from other recommendations e.g. PM2_Supporting (#502) and the required updates to combining rules, it is more robust to simply use the points-based approach and deprecate the other implementations for removal in the next major version.
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