Validated Bayesian Differentiation of Causative and Passenger Mutations.

ABSTRACT: In many contexts, the problem arises of determining which of many candidate mutations is the most likely to be causative for some phenotype. It is desirable to have a way to evaluate this probability that relies as little as possible on previous knowledge, to avoid bias against discovering new genes or functions. We have isolated mutants with blocked cell cycle progression in Chlamydomonas and determined mutant genome sequences. Due to the intensity of UV mutagenesis required for efficient mutant collection, the mutants contain multiple mutations altering coding sequence. To provide a quantitative estimate of probability that each individual mutation in a given mutant is the causative one, we developed a Bayesian approach. The approach employs four independent indicators: sequence conserva

SUBMITTER: Cross FR 

PROVIDER: S-EPMC5499118 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature