TY - JOUR
T1 - Genetic interaction networks
T2 - Toward an understanding of heritability
AU - Baryshnikova, Anastasia
AU - Costanzo, Michael
AU - Myers, Chad L.
AU - Andrews, Brenda
AU - Boone, Charles
PY - 2013/8
Y1 - 2013/8
N2 - Understanding the relationship between the genotypes and phenotypes of individuals is key for identifying genetic variants responsible for disease and developing successful therapeutic strategies. Mapping the phenotypic effects of individual genetic variants and their combinations in human populations presents numerous practical and statistical challenges. However, model organisms, such as the budding yeast Saccharomyces cerevisiae, provide an incredible set of molecular tools and advanced technologies that should be able to efficiently perform this task. In particular, large-scale genetic interaction screens in yeast and other model systems have revealed common properties of genetic interaction networks, many of which appear to be maintained over extensive evolutionary distances. Indeed, despite relatively low conservation of individual genes and their pairwise interactions, the overall topology of genetic interaction networks and the connections between broad biological processes may be similar in most organisms. Taking advantage of these general principles should provide a fundamental basis for mapping and predicting genetic interaction networks in humans.
AB - Understanding the relationship between the genotypes and phenotypes of individuals is key for identifying genetic variants responsible for disease and developing successful therapeutic strategies. Mapping the phenotypic effects of individual genetic variants and their combinations in human populations presents numerous practical and statistical challenges. However, model organisms, such as the budding yeast Saccharomyces cerevisiae, provide an incredible set of molecular tools and advanced technologies that should be able to efficiently perform this task. In particular, large-scale genetic interaction screens in yeast and other model systems have revealed common properties of genetic interaction networks, many of which appear to be maintained over extensive evolutionary distances. Indeed, despite relatively low conservation of individual genes and their pairwise interactions, the overall topology of genetic interaction networks and the connections between broad biological processes may be similar in most organisms. Taking advantage of these general principles should provide a fundamental basis for mapping and predicting genetic interaction networks in humans.
KW - Epistasis
KW - Genetic networks
KW - Genotype-to-phenotype relationship
KW - Saccharomyces cerevisiae
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U2 - 10.1146/annurev-genom-082509-141730
DO - 10.1146/annurev-genom-082509-141730
M3 - Review article
C2 - 23808365
AN - SCOPUS:84884311355
SN - 1527-8204
VL - 14
SP - 111
EP - 133
JO - Annual Review of Genomics and Human Genetics
JF - Annual Review of Genomics and Human Genetics
ER -