The study of systems genetics is changing the way the genetic and molecular basis of phenotypic variation, such as disease susceptibility and drug response, is being analyzed. Moreover, systems genetics aids in the translation of insights from systems biology into genetics. The use of systems genetics enables greater attention to be focused on the potential impact of genetic perturbations on the molecular states of networks that in turn affects complex traits. In this study, we developed models to detect allele-specific perturbations on interactions, in which a genetic locus with alternative alleles exerted a differing influence on an interaction. We utilized the models to investigate the dynamic behavior of an integrated molecular network ...
In this issue of Chemistry & Biology, Perlstein et al. [1] use genetically diverse strains of yeast ...
Experiments in model organisms report abundant genetic interactions underlying biologically importan...
The genome project increased appreciation of genetic complexity underlying disease phenotypes: many ...
The study of systems genetics is changing the way the genetic and molecular basis of phenotypic vari...
Classical quantitative genetics has applied linear modeling to the problem of mapping genotypic to p...
Gene functions were studied as extensive networks comprising synergistic functional interactions bet...
Genetic interactions identify combinations of genetic variants that impinge on phenotype. With whole...
Chemogenomic experiments, where genetic and chemical perturbations are combined, provide data for di...
Global quantitative analysis of genetic interactions provides a powerful approach for deciphering th...
Abstract More and more natural DNA variants are being linked to physiological traits. Yet, understan...
Genetic interactions help map biological processes and their functional relationships. A genetic int...
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for ...
Eukaryotic genetic interaction networks (GINs) are extensively described in the Saccharomyces cerevi...
Although experimental and theoretical efforts have been applied to globally map genetic interactions...
Understanding causal relationships between genotypes and phenotypes is a long-standing aim in geneti...
In this issue of Chemistry & Biology, Perlstein et al. [1] use genetically diverse strains of yeast ...
Experiments in model organisms report abundant genetic interactions underlying biologically importan...
The genome project increased appreciation of genetic complexity underlying disease phenotypes: many ...
The study of systems genetics is changing the way the genetic and molecular basis of phenotypic vari...
Classical quantitative genetics has applied linear modeling to the problem of mapping genotypic to p...
Gene functions were studied as extensive networks comprising synergistic functional interactions bet...
Genetic interactions identify combinations of genetic variants that impinge on phenotype. With whole...
Chemogenomic experiments, where genetic and chemical perturbations are combined, provide data for di...
Global quantitative analysis of genetic interactions provides a powerful approach for deciphering th...
Abstract More and more natural DNA variants are being linked to physiological traits. Yet, understan...
Genetic interactions help map biological processes and their functional relationships. A genetic int...
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for ...
Eukaryotic genetic interaction networks (GINs) are extensively described in the Saccharomyces cerevi...
Although experimental and theoretical efforts have been applied to globally map genetic interactions...
Understanding causal relationships between genotypes and phenotypes is a long-standing aim in geneti...
In this issue of Chemistry & Biology, Perlstein et al. [1] use genetically diverse strains of yeast ...
Experiments in model organisms report abundant genetic interactions underlying biologically importan...
The genome project increased appreciation of genetic complexity underlying disease phenotypes: many ...