Traditional categorical variant annotations limit accurate disease risk assessment, especially in populations unascertained for disease. A probabilistic, population-calibrated penetrance framework enables more meaningful prospective variant interpretation. Our Bayesian CPVT-prior outperforms current tools in evaluating RYR2 variant penetrance. We provide prospective Bayesian CPVT penetrance values for 29 242 RYR2 missense variants at our online variant browser.
Dauda et al. (Fri,) studied this question.