Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database.

ABSTRACT: Computational inference of mutation effects is necessary for genetic studies in which many mutations must be considered as etiologic candidates. Programs such as PolyPhen-2 predict the relative severity of damage caused by missense mutations, but not the actual probability that a mutation will reduce/eliminate protein function. Based on genotype and phenotype data for 116,330 ENU-induced mutations in the Mutagenetix database, we calculate that putative null mutations, and PolyPhen-2-classified "probably damaging", "possibly damaging", or "probably benign" mutations have, respectively, 61%, 17%, 9.8%, and 4.5% probabilities of causing phenotypically detectable damage in the homozygous state. We use these probabilities in the estimation of genome saturation and the probability that individua

SUBMITTER: Wang T 

PROVIDER: S-EPMC5789985 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature