Document Detail


Interpreting genetic effects through models of cardiac electromechanics.
MedLine Citation:
PMID:  23042948     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Multiscale models of cardiac electromechanics are being increasingly focused on understanding how genetic variation and environment underpin multiple disease states. In this paper we review the current state of the art in both the development of specific models and the physiological insights they have produced. This growing research body includes the development of models for capturing the effects of changes in function in both single and multiple proteins in both specific expression systems and in vivo contexts. Finally, the potential for using this approach for ultimately predicting phenotypes from genetic sequence information is discussed.
Authors:
S A Niederer; S Land; S W Omholt; N P Smith
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review     Date:  2012-10-05
Journal Detail:
Title:  American journal of physiology. Heart and circulatory physiology     Volume:  303     ISSN:  1522-1539     ISO Abbreviation:  Am. J. Physiol. Heart Circ. Physiol.     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-03     Completed Date:  2013-02-12     Revised Date:  2013-12-04    
Medline Journal Info:
Nlm Unique ID:  100901228     Medline TA:  Am J Physiol Heart Circ Physiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  H1294-303     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Animals
Computer Simulation*
Electrophysiological Phenomena / physiology*
Genotype
Heart / physiology*
Heart Diseases / genetics*,  physiopathology
Humans
Mice
Models, Animal
Models, Genetic
Phenotype
Grant Support
ID/Acronym/Agency:
1 P50 GM094503-01/GM/NIGMS NIH HHS
Comments/Corrections

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