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Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation
- Source :
- Circulation research, 127(1), 34-50. Lippincott Williams and Wilkins
- Publication Year :
- 2020
-
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.
- Subjects :
- Regulation of gene expression
genome-wide association study
Physiology
cardiac
Gene regulatory network
Genome-wide association study
Computational biology
Biology
myocytes
Genome
Epigenesis, Genetic
Chromatin
Genetic Loci
transcription factors
genetic variation
Animals
Humans
Gene Regulatory Networks
atrial fibrillation
myocytes, cardiac
Epigenetics
Transcriptome
Cardiology and Cardiovascular Medicine
Gene
Transcription factor
Subjects
Details
- Language :
- English
- ISSN :
- 00097330
- Volume :
- 127
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Circulation Research
- Accession number :
- edsair.doi.dedup.....6e3d5c76177d77fc1545dbd86e55a6dd