A method for calculating probabilities of fitness consequences for point mutations across the human genome

Adam Siepel and colleagues develop a statistical method, fitCons, which combines comparative and functional genomic data to estimate the probability that a point mutation will influence fitness. They generate fitCons scores for three human cell types from ENCODE data sets and demonstrate improved prediction power for cis regulatory elements in comparison to conventional conservation-based scores.