Research ExplorerPublicationsEpigenetic and Transcriptional Networks Underlying Atrial Fi...

Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation

Standard

Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation. / van Ouwerkerk, Antoinette F; Hall, Amelia W; Kadow, Zachary A; Lazarevic, Sonja; Reyat, Jasmeet S; Tucker, Nathan R; Nadadur, Rangarajan D; Bosada, Fernanda M; Bianchi, Valerio; Ellinor, Patrick T; Fabritz, Larissa; Martin, James F; de Laat, Wouter; Kirchhof, Paulus; Moskowitz, Ivan P; Christoffels, Vincent M.

In: CIRC RES, Vol. 127, No. 1, 19.06.2020, p. 34-50.

Research output: SCORING: Contribution to journal › SCORING: Review article › Research

Harvard

van Ouwerkerk, AF, Hall, AW, Kadow, ZA, Lazarevic, S, Reyat, JS, Tucker, NR, Nadadur, RD, Bosada, FM, Bianchi, V, Ellinor, PT, Fabritz, L, Martin, JF, de Laat, W, Kirchhof, P, Moskowitz, IP & Christoffels, VM 2020, 'Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation', CIRC RES, vol. 127, no. 1, pp. 34-50. https://doi.org/10.1161/CIRCRESAHA.120.316574

APA

van Ouwerkerk, A. F., Hall, A. W., Kadow, Z. A., Lazarevic, S., Reyat, J. S., Tucker, N. R., Nadadur, R. D., Bosada, F. M., Bianchi, V., Ellinor, P. T., Fabritz, L., Martin, J. F., de Laat, W., Kirchhof, P., Moskowitz, I. P., & Christoffels, V. M. (2020). Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation. CIRC RES, 127(1), 34-50. https://doi.org/10.1161/CIRCRESAHA.120.316574

Vancouver

van Ouwerkerk AF, Hall AW, Kadow ZA, Lazarevic S, Reyat JS, Tucker NR et al. Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation. CIRC RES. 2020 Jun 19;127(1):34-50. https://doi.org/10.1161/CIRCRESAHA.120.316574

Bibtex

@article{977e6e292eb74946804dfd3d01c61d67,
title = "Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation",
abstract = "Genome-wide association studies have uncovered over a 100 genetic loci associated with atrial fibrillation (AF), the most common arrhythmia. Many of the top AF-associated loci harbor key cardiac transcription factors, including PITX2, TBX5, PRRX1, and ZFHX3. Moreover, the vast majority of the AF-associated variants lie within noncoding regions of the genome where causal variants affect gene expression by altering the activity of transcription factors and the epigenetic state of chromatin. In this review, we discuss a transcriptional regulatory network model for AF defined by effector genes in Genome-wide association studies loci. We describe the current state of the field regarding the identification and function of AF-relevant gene regulatory networks, including variant regulatory elements, dose-sensitive transcription factor functionality, target genes, and epigenetic states. We illustrate how altered transcriptional networks may impact cardiomyocyte function and ionic currents that impact AF risk. Last, we identify the need for improved tools to identify and functionally test transcriptional components to define the links between genetic variation, epigenetic gene regulation, and atrial function.",
keywords = "Animals, Atrial Fibrillation/genetics, Epigenesis, Genetic, Gene Regulatory Networks, Genetic Loci, Humans, Transcriptome",
author = "{van Ouwerkerk}, {Antoinette F} and Hall, {Amelia W} and Kadow, {Zachary A} and Sonja Lazarevic and Reyat, {Jasmeet S} and Tucker, {Nathan R} and Nadadur, {Rangarajan D} and Bosada, {Fernanda M} and Valerio Bianchi and Ellinor, {Patrick T} and Larissa Fabritz and Martin, {James F} and {de Laat}, Wouter and Paulus Kirchhof and Moskowitz, {Ivan P} and Christoffels, {Vincent M}",
year = "2020",
month = jun,
day = "19",
doi = "10.1161/CIRCRESAHA.120.316574",
language = "English",
volume = "127",
pages = "34--50",
journal = "CIRC RES",
issn = "0009-7330",
publisher = "Lippincott Williams and Wilkins",
number = "1",

}

RIS

TY - JOUR

T1 - Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation

AU - van Ouwerkerk, Antoinette F

AU - Hall, Amelia W

AU - Kadow, Zachary A

AU - Lazarevic, Sonja

AU - Reyat, Jasmeet S

AU - Tucker, Nathan R

AU - Nadadur, Rangarajan D

AU - Bosada, Fernanda M

AU - Bianchi, Valerio

AU - Ellinor, Patrick T

AU - Fabritz, Larissa

AU - Martin, James F

AU - de Laat, Wouter

AU - Kirchhof, Paulus

AU - Moskowitz, Ivan P

AU - Christoffels, Vincent M

PY - 2020/6/19

Y1 - 2020/6/19

N2 - Genome-wide association studies have uncovered over a 100 genetic loci associated with atrial fibrillation (AF), the most common arrhythmia. Many of the top AF-associated loci harbor key cardiac transcription factors, including PITX2, TBX5, PRRX1, and ZFHX3. Moreover, the vast majority of the AF-associated variants lie within noncoding regions of the genome where causal variants affect gene expression by altering the activity of transcription factors and the epigenetic state of chromatin. In this review, we discuss a transcriptional regulatory network model for AF defined by effector genes in Genome-wide association studies loci. We describe the current state of the field regarding the identification and function of AF-relevant gene regulatory networks, including variant regulatory elements, dose-sensitive transcription factor functionality, target genes, and epigenetic states. We illustrate how altered transcriptional networks may impact cardiomyocyte function and ionic currents that impact AF risk. Last, we identify the need for improved tools to identify and functionally test transcriptional components to define the links between genetic variation, epigenetic gene regulation, and atrial function.

AB - Genome-wide association studies have uncovered over a 100 genetic loci associated with atrial fibrillation (AF), the most common arrhythmia. Many of the top AF-associated loci harbor key cardiac transcription factors, including PITX2, TBX5, PRRX1, and ZFHX3. Moreover, the vast majority of the AF-associated variants lie within noncoding regions of the genome where causal variants affect gene expression by altering the activity of transcription factors and the epigenetic state of chromatin. In this review, we discuss a transcriptional regulatory network model for AF defined by effector genes in Genome-wide association studies loci. We describe the current state of the field regarding the identification and function of AF-relevant gene regulatory networks, including variant regulatory elements, dose-sensitive transcription factor functionality, target genes, and epigenetic states. We illustrate how altered transcriptional networks may impact cardiomyocyte function and ionic currents that impact AF risk. Last, we identify the need for improved tools to identify and functionally test transcriptional components to define the links between genetic variation, epigenetic gene regulation, and atrial function.

KW - Animals

KW - Atrial Fibrillation/genetics

KW - Epigenesis, Genetic

KW - Gene Regulatory Networks

KW - Genetic Loci

KW - Humans

KW - Transcriptome

U2 - 10.1161/CIRCRESAHA.120.316574

DO - 10.1161/CIRCRESAHA.120.316574

M3 - SCORING: Review article

C2 - 32717170

VL - 127

SP - 34

EP - 50

JO - CIRC RES

JF - CIRC RES

SN - 0009-7330

IS - 1

ER -