spacer gif spacer gif spacer gif spacer gif spacer gif
QUICK SEARCH:   [advanced]


spacer gif
     Home     Help     Feedback     Subscriptions     Archive     Search     Table of Contents    

First published online April 20, 2007
Journal of Experimental Biology 210, 1559-1566 (2007)
Published by The Company of Biologists 2007
doi: 10.1242/jeb.002311
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Glossary
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Related articles in JEB
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lehner, B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lehner, B.

Review Article

Modelling genotype–phenotype relationships and human disease with genetic interaction networks

Ben Lehner

EMBL/CRG Systems Biology Unit, Centre for Genomic Regulation (CRG), UPF, C/Dr Aiguader 88, Barcelona 08003, Spain

e-mail: ben.lehner{at}crg.es

Accepted 16 January 2007

Probably all heritable traits, including disease susceptibility, are affected by interactions between mutations in multiple genes. We understand little, however, about how genes interact to produce phenotypes, and there is little power to detect interactions between genes in human population studies. An alternative approach towards understanding how mutations combine to produce phenotypes is to construct systematic genetic interaction networks in model organisms. Here I describe the methods that are being used to map genetic interactions in yeast and C. elegans, and the insights that these networks provide for human disease. I also discuss the mechanistic interpretation of genetic interaction networks, how genetic interactions can be used to understand gene function, and methods that have been developed to predict genetic interactions on a genome-wide scale.

Key words: genetic interactions, networks, systems biology


Related articles in JEB:

COMPLEX BIOLOGICAL SYSTEMS
Laura Blackburn
JEB 2007 210: ii. [Full Text]  



This article has been cited by other articles:


Home page
 J. Exp. Biol.Home page
J. Quackenbush
Extracting biology from high-dimensional biological data
J. Exp. Biol., May 1, 2007; 210(9): 1507 - 1517.
[Abstract] [Full Text] [PDF]


© The Company of Biologists Ltd 2007