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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Beyond Uncertainty: Using Functional Assays for Clinical Variant Classification

Authors: Gupta, Pankhuri; Villani, Rehan; Starita, Lea; McEwen, Abbye Elizabeth; Stergachis, Andrew;

Beyond Uncertainty: Using Functional Assays for Clinical Variant Classification

Abstract

This presentation demonstrates how MAVE functional data can be translated into disease-specific functional evidence for clinical variant classification. It is framed around a BAP1 variant of uncertain significance (VUS), and presents different functional assay types, the ClinGen SVI framework for evaluating assay validity, calculating likelihood ratios using appropriate reference sets, and applying calibrated functional data as evidence for variant classification. The presentation is adapted from a workshop that was presented at the 2026 American College of Medical Genetics and Genomics (ACMG) annual meeting. It is also available as supplemental material for the pre-print manuscript titled "Phenotype-Specific Recalibration of MAVE Data Enables Repurposing of BAP1 Functional Assays for Küry-Isidor Syndrome": doi: https://doi.org/10.64898/2026.05.15.26352805

Keywords

functional evidence, genetics, BAP1, variant classification

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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