title: Interpreting genetic effects through models of cardiac electromechanics.
abstract: 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.affiliation: Department of Biomedical Engineering, King's College London, King's Health Partners, Saint Thomas' Hospital, London, UK.
authors.forename: S A
authors.initials: SA
authors.lastname: Niederer
authors.forename: S
authors.initials: S
authors.lastname: Land
authors.forename: S W
authors.initials: SW
authors.lastname: Omholt
authors.forename: N P
authors.initials: NP
authors.lastname: Smith
mesh_terms: D000818:Animals; D003198:Computer Simulation; D055724:Electrophysiological Phenomena / Q000502:physiology*; D005838:Genotype; D006321:Heart / Q000502:physiology*; D006331:Heart Diseases / Q000235:genetics* / Q000503:physiopathology; D006801:Humans; D051379:Mice; D023421:Models, Animal; D008957:Models, Genetic; D010641:Phenotype