Genetic Network Complexity Shapes Background-Dependent Phenotypic Expression.

Détails

ID Serval
serval:BIB_21A52EBB86BF
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Genetic Network Complexity Shapes Background-Dependent Phenotypic Expression.
Périodique
Trends in genetics
Auteur(s)
Hou J., van Leeuwen J., Andrews B.J., Boone C.
ISSN
0168-9525 (Print)
ISSN-L
0168-9525
Statut éditorial
Publié
Date de publication
08/2018
Peer-reviewed
Oui
Volume
34
Numéro
8
Pages
578-586
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Résumé
The phenotypic consequences of a given mutation can vary across individuals. This so-called background effect is widely observed, from mutant fitness of loss-of-function variants in model organisms to variable disease penetrance and expressivity in humans; however, the underlying genetic basis often remains unclear. Taking insights gained from recent large-scale surveys of genetic interaction and suppression analyses in yeast, we propose that the genetic network context for a given mutation may shape its propensity of exhibiting background-dependent phenotypes. We argue that further efforts in systematically mapping the genetic interaction networks beyond yeast will provide not only key insights into the functional properties of genes, but also a better understanding of the background effects and the (un)predictability of traits in a broader context.
Mots-clé
background effect, conditional gene essentiality, genetic interaction, variable phenotypic expression
Pubmed
Web of science
Création de la notice
22/01/2019 17:05
Dernière modification de la notice
27/02/2019 7:26
Données d'usage