We show that this algorithm reliably predicts known pathogenic variants for CACNA1D-associated neurodevelopmental disorders and treatment-resistant hypertension, and also improves pathogenicity classification of variants of yet unclear significance. This evidence concerns the gene CACNA1D and neurodevelopmental disorder.