bioRxivNeurosciencePreprint
Calibrated high-throughput electrophysiology enables clinical interpretation of CACNA1G missense variants
Rocio K. Finol‐UrdanetaiD, Chek-Ying Tan, Neven MaksemousiD, Joanne G. MaiD, Paul J. LockhartiD, Penny SnelliD, Abhishek Malhotra, Bryony A. ThompsoniD, Gunjan GargiD, Himanshu GoeliD, Lyn Robyn GriffithsiD, David J. AdamsiD, Jamie I. VandenbergiD, Chai Ann NgiD
Abstract
ObjectiveAccurate classification of ion channel variants of uncertain significance (VUS) remains a persistent challenge in clinical genomics, limiting diagnostic resolution in neurological disorders. MethodsWe developed a calibrated electrophysiological framework to generate functional evidence for clinical interpretation of CACNA1G variants encoding the low-voltage-activated calcium channel Cav3.1. Functional metrics derived from automated patchclamp recordings were calibrated against benign/likely benign (B/LB) and pathogenic/likely pathogenic (P/LP) reference variants to enable conservative application of ACMG/AMP functional criteria within clinical variant interpretation workflows. ResultsCalibration using 25 B/LB and 16 P/LP CACNA1G variants showed that more than 80% of P/LP variants exhibited reduced current density (CD). Deactivation kinetics ({tau}Deact) provided complementary discriminatory information by identifying gating abnormalities in variants with preserved CD. Application of this dual-metric framework to five VUS identified in Australian patients revealed two variants (Cav3.1-R186Q and R1394Q) with abnormal functional profiles consistent with voltage-sensor perturbation, supporting reassessment as likely pathogenic under ACMG/AMP guidelines. The remaining VUS displayed functional properties overlapping the benign reference distribution. ConclusionThese findings establish a calibrated functional framework for generating electrophysiological evidence that supports clinical interpretation of CACNA1G missense variants under ACMG/AMP guidelines. When applied as external functional evidence, this approach improves resolution of CACNA1G-associated VUS while maintaining conservative standards for variant classification.
- organism: human
- assay: electronic health records
- research focus: variant effect prediction
- approach: statistical model
- Citations
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