title: Predicting phenotypic effects of gene perturbations in C. elegans using an integrated network model.
abstract: Predicting the phenotype of an organism from its genotype is a central question in genetics. Most importantly, we would like to find out if the perturbation of a single gene may be the cause of a disease. However, our current ability to predict the phenotypic effects of perturbations of individual genes is limited. Network models of genes are one tool for tackling this problem. In a recent study, (Lee et al.) it has been shown that network models covering the majority of genes of an organism can be used for accurately predicting phenotypic effects of gene perturbations in multicellular organisms. .
authors.affiliation: Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK.
authors.forename: Karsten
authors.initials: K
authors.lastname: Borgwardt
mesh_terms: D000818:Animals; D017173:Caenorhabditis elegans; D003198:Computer Simulation; D016208:Databases, Factual; D005823:Genetics; D005838:Genotype; D006801:Humans; D008954:Models, Biological; D008957:Models, Genetic; D008962:Models, Theoretical; D010641:Phenotype; D034622:RNA Interference; D049490:Systems Biology