Validated Bayesian Differentiation of Causative and Passenger Mutations

G3 : Genes - Genomes - Genetics
Frederick R CrossKristi Lieberman

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 conservation of the mutated coding sequence with Arabidopsis; severity of the mutation relative to Chlamydomonas wild-type based on Blosum62 scores; meiotic mapping information for location of the causative mutation relative to known molecular markers; and, for a subset of mutants, the transcriptional profile of the candidate wild-type genes through the mitotic cell cycle. These indicators are statistically independent, and so can be combined quantita...Continue Reading

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Citations

Sep 14, 2018·Current Opinion in Plant Biology·James G Umen

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Methods Mentioned

BETA
PCR
RNAseq

Software Mentioned

gex
MATLAB
Blosum
BLAST

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