Title

Prediction of phenotype and gene expression for combinations of mutations.

Document Type

Article

Publication Date

2007

Keywords

Alleles, Epistasis-Genetic, Gene-Expression-Regulation-Fungal, Genes-Fungal, Genetic-Heterogeneity, Genotype, Least-Squares-Analysis, Models-Genetic, Mutation, Phenotype, Saccharomyces-cerevisiae, Saccharomyces-cerevisiae-Proteins, Transcription-Factors

JAX Source

Mol Syst Biol 2007; 3:96.

Abstract

Molecular interactions provide paths for information flows. Genetic interactions reveal active information flows and reflect their functional consequences. We integrated these complementary data types to model the transcription network controlling cell differentiation in yeast. Genetic interactions were inferred from linear decomposition of gene expression data and were used to direct the construction of a molecular interaction network mediating these genetic effects. This network included both known and novel regulatory influences, and predicted genetic interactions. For corresponding combinations of mutations, the network model predicted quantitative gene expression profiles and precise phenotypic effects. Multiple predictions were tested and verified.