Article (Scientific journals)
The Convergence of Systems and Reductionist Approaches in Complex Trait Analysis.
Williams, Evan; Auwerx, Johan
2015In Cell, 162 (1), p. 23-32
Peer Reviewed verified by ORBi
 

Files


Full Text
Final_Publication.pdf
Publisher postprint (1.52 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Animals; Gene Regulatory Networks; Gene-Environment Interaction; Genome-Wide Association Study; Humans; Phenotype; Plants/genetics
Abstract :
[en] Research into the genetic and environmental factors behind complex trait variation has traditionally been segregated into distinct scientific camps. The reductionist approach aims to decrypt phenotypic variability bit by bit, founded on the underlying hypothesis that genome-to-phenome relations are largely constructed from the additive effects of their molecular players. In contrast, the systems approach aims to examine large-scale interactions of many components simultaneously, on the premise that interactions in gene networks can be both linear and non-linear. Both approaches are complementary, and they are becoming increasingly intertwined due to developments in gene editing tools, omics technologies, and population resources. Together, these strategies are beginning to drive the next era in complex trait research, paving the way to improve agriculture and toward more personalized medicine.
Disciplines :
Genetics & genetic processes
Author, co-author :
Williams, Evan  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Auwerx, Johan
External co-authors :
yes
Language :
English
Title :
The Convergence of Systems and Reductionist Approaches in Complex Trait Analysis.
Publication date :
2015
Journal title :
Cell
ISSN :
1097-4172
Publisher :
Cell Press, United States - Massachusetts
Volume :
162
Issue :
1
Pages :
23-32
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Copyright (c) 2015 Elsevier Inc. All rights reserved.
Available on ORBilu :
since 06 May 2020

Statistics


Number of views
71 (0 by Unilu)
Number of downloads
46 (0 by Unilu)

Scopus citations®
 
48
Scopus citations®
without self-citations
42
OpenCitations
 
54
WoS citations
 
42

Bibliography


Similar publications



Contact ORBilu