HMM Constraint Predictions for WES mutation observations

We present an novel approach for predicting constraint in the human genome – sections of the genome where any mutation can cause a severe disorder. Through application of a Hidden Markov Model (HMM) to the Regeneron Genetics Center Million Exome dataset and the AllofUs whole genome sequencing data, we predict the probability of observing no variants across the population for each position in the genome.