Published July 22, 2026 | Version v1

Beyond Uncertainty: Using Functional Assays for Clinical Variant Classification

  • 1. ROR icon University of Washington
  • 2. ROR icon QIMR Berghofer Medical Research Institute

Description

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

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Additional details

Related works

Is referenced by
Publication: 10.64898/2026.05.15.26352805 (DOI)

Funding

National Human Genome Research Institute
R01HG013025
National Institute of Neurological Disorders and Stroke
U01NS134355
National Institute of Neurological Disorders and Stroke
U2CNS132415
National Institute of Neurological Disorders and Stroke
U01HG007942
Chan Zuckerberg Initiative (United States)
CZIF2024-010284
Alex's Lemonade Stand Foundation
Brotman Baty Institute
CC28
Warren Alpert Foundation
WAF-CLEP- PD 10089501-01

Dates

Available
2026-03-10
Presented at the 2026 American College of Medical Genetics and Genomics