Interpreting genetic effects through models of cardiac electromechanics

S. A. Niederer; Sander Land; S. W. Omholt; N. P. Smith

doi:10.1152/ajpheart.00121.2012

Interpreting genetic effects through models of cardiac electromechanics

S. A. Niederer, Sander Land, S. W. Omholt, N. P. Smith^*

^*Corresponding author for this work

Biomedical Engineering Department

Norwegian Univ Life Sci, Norwegian University of Life Sciences, Dept Anim & Aquacultural Sci, Ctr Integrat Genet

Research output: Contribution to journal › Literature review › peer-review

9 Citations (Scopus)

Abstract

Multi-scale models of cardiac electro-mechanics 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.

Original language	English
Article number	N/A
Pages (from-to)	H1294-H1303
Number of pages	10
Journal	American Journal of Physiology (Heart and Circulatory Physiology)
Volume	303
Issue number	11
DOIs	https://doi.org/10.1152/ajpheart.00121.2012
Publication status	Published - 1 Dec 2012

Keywords

multiscale modeling
cardiac electromechanics
genotype-phenotype map
LONG-QT SYNDROME
HUMAN LEFT-VENTRICLE
MOUSE HEART
COMPUTATIONAL MODELS
CONDUCTION DISEASE
CHANNEL MUTATIONS
TRANSGENIC MOUSE
PHYSIOME PROJECT
BRUGADA-SYNDROME
KNOCKOUT MICE

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1152/ajpheart.00121.2012

Cite this

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title = "Interpreting genetic effects through models of cardiac electromechanics",

abstract = "Multi-scale models of cardiac electro-mechanics 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.",

keywords = "multiscale modeling, cardiac electromechanics, genotype-phenotype map, LONG-QT SYNDROME, HUMAN LEFT-VENTRICLE, MOUSE HEART, COMPUTATIONAL MODELS, CONDUCTION DISEASE, CHANNEL MUTATIONS, TRANSGENIC MOUSE, PHYSIOME PROJECT, BRUGADA-SYNDROME, KNOCKOUT MICE",

author = "Niederer, {S. A.} and Sander Land and Omholt, {S. W.} and Smith, {N. P.}",

year = "2012",

month = dec,

day = "1",

doi = "10.1152/ajpheart.00121.2012",

language = "English",

volume = "303",

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journal = "American Journal of Physiology (Heart and Circulatory Physiology)",

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TY - JOUR

T1 - Interpreting genetic effects through models of cardiac electromechanics

AU - Niederer, S. A.

AU - Land, Sander

AU - Omholt, S. W.

AU - Smith, N. P.

PY - 2012/12/1

Y1 - 2012/12/1

N2 - Multi-scale models of cardiac electro-mechanics 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.

AB - Multi-scale models of cardiac electro-mechanics 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.

KW - multiscale modeling

KW - cardiac electromechanics

KW - genotype-phenotype map

KW - LONG-QT SYNDROME

KW - HUMAN LEFT-VENTRICLE

KW - MOUSE HEART

KW - COMPUTATIONAL MODELS

KW - CONDUCTION DISEASE

KW - CHANNEL MUTATIONS

KW - TRANSGENIC MOUSE

KW - PHYSIOME PROJECT

KW - BRUGADA-SYNDROME

KW - KNOCKOUT MICE

U2 - 10.1152/ajpheart.00121.2012

DO - 10.1152/ajpheart.00121.2012

M3 - Literature review

SN - 1522-1539

VL - 303

SP - H1294-H1303

JO - American Journal of Physiology (Heart and Circulatory Physiology)

JF - American Journal of Physiology (Heart and Circulatory Physiology)

IS - 11

M1 - N/A

ER -

Interpreting genetic effects through models of cardiac electromechanics

Abstract

Keywords

UN SDGs

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