Document Detail


Systems genetics: A paradigm to improve discovery of candidate genes and mechanisms underlying complex traits.
MedLine Citation:
PMID:  24767114     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Understanding the control of any trait optimally requires the detection of causal genes, gene interaction, and mechanism of action to discover and model the biochemical pathways underlying the expressed phenotype. Functional genomics techniques, including RNA expression profiling via microarray and high-throughput DNA sequencing, allow for the precise genome localization of biological information. Powerful genetic approaches, including quantitative trait locus (QTL) and genome-wide association study mapping, link phenotype with genome positions, yet genetics is less precise in localizing the relevant mechanistic information encoded in DNA. The coupling of salient functional genomic signals with genetically mapped positions is an appealing approach to discover meaningful gene-phenotype relationships. Techniques used to define this genetic-genomic convergence comprise the field of systems genetics. This short review will address an application of systems genetics where RNA profiles are associated with genetically mapped genome positions of individual genes (eQTL mapping) or as gene sets (co-expression network modules). Both approaches can be applied for knowledge independent selection of candidate genes (and possible control mechanisms) underlying complex traits where multiple, likely unlinked, genomic regions might control specific complex traits.
Authors:
F Alex Feltus
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Publication Detail:
Type:  REVIEW     Date:  2014-3-13
Journal Detail:
Title:  Plant science : an international journal of experimental plant biology     Volume:  223C     ISSN:  1873-2259     ISO Abbreviation:  Plant Sci.     Publication Date:  2014 Jun 
Date Detail:
Created Date:  2014-4-28     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9882015     Medline TA:  Plant Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  45-48     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
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