Global Genetic Networks and the Genotype-to-Phenotype Relationship.

Détails

ID Serval
serval:BIB_2F6F7F80AA32
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Global Genetic Networks and the Genotype-to-Phenotype Relationship.
Périodique
Cell
Auteur⸱e⸱s
Costanzo M., Kuzmin E., van Leeuwen J., Mair B., Moffat J., Boone C., Andrews B.
ISSN
1097-4172 (Electronic)
ISSN-L
0092-8674
Statut éditorial
Publié
Date de publication
21/03/2019
Peer-reviewed
Oui
Volume
177
Numéro
1
Pages
85-100
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Résumé
Genetic interactions identify combinations of genetic variants that impinge on phenotype. With whole-genome sequence information available for thousands of individuals within a species, a major outstanding issue concerns the interpretation of allelic combinations of genes underlying inherited traits. In this Review, we discuss how large-scale analyses in model systems have illuminated the general principles and phenotypic impact of genetic interactions. We focus on studies in budding yeast, including the mapping of a global genetic network. We emphasize how information gained from work in yeast translates to other systems, and how a global genetic network not only annotates gene function but also provides new insights into the genotype-to-phenotype relationship.
Mots-clé
Alleles, Animals, Gene Frequency/genetics, Gene Regulatory Networks/genetics, Gene Regulatory Networks/physiology, Genetic Association Studies/trends, Genetic Variation/genetics, Genotype, Humans, Models, Genetic, Phenotype, Quantitative Trait Loci/genetics, Saccharomyces cerevisiae/genetics
Pubmed
Web of science
Création de la notice
21/03/2019 17:57
Dernière modification de la notice
18/02/2020 7:20
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