Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation
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-ass...
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Veröffentlicht in: | Circulation research 2020-06, Vol.127 (1), p.34-50 |
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creator | 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. |
description | 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. |
doi_str_mv | 10.1161/CIRCRESAHA.120.316574 |
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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.</description><identifier>ISSN: 0009-7330</identifier><identifier>ISSN: 1524-4571</identifier><identifier>EISSN: 1524-4571</identifier><identifier>DOI: 10.1161/CIRCRESAHA.120.316574</identifier><identifier>PMID: 32717170</identifier><language>eng</language><publisher>United States: American Heart Association, Inc</publisher><subject>Animals ; Atrial Fibrillation - genetics ; Atrial Fibrillation - metabolism ; Epigenesis, Genetic ; Gene Regulatory Networks ; Genetic Loci ; Humans ; Transcriptome</subject><ispartof>Circulation research, 2020-06, Vol.127 (1), p.34-50</ispartof><rights>American Heart Association, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4564-2853404edb134bc83bf9f7beff266b46e6e8315e05e46a973958e21cce4cd7203</citedby><cites>FETCH-LOGICAL-c4564-2853404edb134bc83bf9f7beff266b46e6e8315e05e46a973958e21cce4cd7203</cites><orcidid>0000-0002-2067-0533 ; 0000-0002-7915-0313 ; 0000-0003-4131-2636 ; 0000-0002-1583-1785</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,3687,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32717170$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>van Ouwerkerk, Antoinette F.</creatorcontrib><creatorcontrib>Hall, Amelia W.</creatorcontrib><creatorcontrib>Kadow, Zachary A.</creatorcontrib><creatorcontrib>Lazarevic, Sonja</creatorcontrib><creatorcontrib>Reyat, Jasmeet S.</creatorcontrib><creatorcontrib>Tucker, Nathan R.</creatorcontrib><creatorcontrib>Nadadur, Rangarajan D.</creatorcontrib><creatorcontrib>Bosada, Fernanda M.</creatorcontrib><creatorcontrib>Bianchi, Valerio</creatorcontrib><creatorcontrib>Ellinor, Patrick T.</creatorcontrib><creatorcontrib>Fabritz, Larissa</creatorcontrib><creatorcontrib>Martin, James F.</creatorcontrib><creatorcontrib>de Laat, Wouter</creatorcontrib><creatorcontrib>Kirchhof, Paulus</creatorcontrib><creatorcontrib>Moskowitz, Ivan P.</creatorcontrib><creatorcontrib>Christoffels, Vincent M.</creatorcontrib><title>Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation</title><title>Circulation research</title><addtitle>Circ Res</addtitle><description>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.</description><subject>Animals</subject><subject>Atrial Fibrillation - genetics</subject><subject>Atrial Fibrillation - metabolism</subject><subject>Epigenesis, Genetic</subject><subject>Gene Regulatory Networks</subject><subject>Genetic Loci</subject><subject>Humans</subject><subject>Transcriptome</subject><issn>0009-7330</issn><issn>1524-4571</issn><issn>1524-4571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkU1rGzEQhkVoaJykPyFlj72sO_rc3UvBGDsJhAbycRZa7aytRta60rom_74yTtMWHQSaZ96R9BByRWFKqaJf57cP84fF4-xmNqUMppwqWYkTMqGSiVLIin4gEwBoyopzOCPnKf0AoIKz5iM546yiecGELBdbt8KAo7OFCV3xFE1INrrt6IZgfPEdx_0QX1LxHDqM_tWFVTEbo8ulpWuj894cyEty2huf8NPbfkGel4un-U15d399O5_dlVZIJUpWSy5AYNdSLlpb87Zv-qrFvmdKtUKhwppTiSBRKNNUvJE1MmotCttVDPgF-XbM3e7aDXYWwxiN19voNia-6sE4_X8luLVeDb_0IZY1NAd8eQuIw88dplFvXLKYnxFw2CXNBKtBCdWojMojauOQUsT-fQwFfXCg_zrQ2YE-Osh9n_-943vXn0_PgDgC-8GPGNOL3-0x6jUaP651lgYcKCsZMABFGygPR4L_Bm0RlEY</recordid><startdate>20200619</startdate><enddate>20200619</enddate><creator>van Ouwerkerk, Antoinette F.</creator><creator>Hall, Amelia W.</creator><creator>Kadow, Zachary A.</creator><creator>Lazarevic, Sonja</creator><creator>Reyat, Jasmeet S.</creator><creator>Tucker, Nathan R.</creator><creator>Nadadur, Rangarajan D.</creator><creator>Bosada, Fernanda M.</creator><creator>Bianchi, Valerio</creator><creator>Ellinor, Patrick T.</creator><creator>Fabritz, Larissa</creator><creator>Martin, James F.</creator><creator>de Laat, Wouter</creator><creator>Kirchhof, Paulus</creator><creator>Moskowitz, Ivan P.</creator><creator>Christoffels, Vincent M.</creator><general>American Heart Association, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2067-0533</orcidid><orcidid>https://orcid.org/0000-0002-7915-0313</orcidid><orcidid>https://orcid.org/0000-0003-4131-2636</orcidid><orcidid>https://orcid.org/0000-0002-1583-1785</orcidid></search><sort><creationdate>20200619</creationdate><title>Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4564-2853404edb134bc83bf9f7beff266b46e6e8315e05e46a973958e21cce4cd7203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animals</topic><topic>Atrial Fibrillation - genetics</topic><topic>Atrial Fibrillation - metabolism</topic><topic>Epigenesis, Genetic</topic><topic>Gene Regulatory Networks</topic><topic>Genetic Loci</topic><topic>Humans</topic><topic>Transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van Ouwerkerk, Antoinette F.</creatorcontrib><creatorcontrib>Hall, Amelia W.</creatorcontrib><creatorcontrib>Kadow, Zachary A.</creatorcontrib><creatorcontrib>Lazarevic, Sonja</creatorcontrib><creatorcontrib>Reyat, Jasmeet S.</creatorcontrib><creatorcontrib>Tucker, Nathan R.</creatorcontrib><creatorcontrib>Nadadur, Rangarajan D.</creatorcontrib><creatorcontrib>Bosada, Fernanda M.</creatorcontrib><creatorcontrib>Bianchi, Valerio</creatorcontrib><creatorcontrib>Ellinor, Patrick T.</creatorcontrib><creatorcontrib>Fabritz, Larissa</creatorcontrib><creatorcontrib>Martin, James F.</creatorcontrib><creatorcontrib>de Laat, Wouter</creatorcontrib><creatorcontrib>Kirchhof, Paulus</creatorcontrib><creatorcontrib>Moskowitz, Ivan P.</creatorcontrib><creatorcontrib>Christoffels, Vincent M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Circulation research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van Ouwerkerk, Antoinette F.</au><au>Hall, Amelia W.</au><au>Kadow, Zachary A.</au><au>Lazarevic, Sonja</au><au>Reyat, Jasmeet S.</au><au>Tucker, Nathan R.</au><au>Nadadur, Rangarajan D.</au><au>Bosada, Fernanda M.</au><au>Bianchi, Valerio</au><au>Ellinor, Patrick T.</au><au>Fabritz, Larissa</au><au>Martin, James F.</au><au>de Laat, Wouter</au><au>Kirchhof, Paulus</au><au>Moskowitz, Ivan P.</au><au>Christoffels, Vincent M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation</atitle><jtitle>Circulation research</jtitle><addtitle>Circ Res</addtitle><date>2020-06-19</date><risdate>2020</risdate><volume>127</volume><issue>1</issue><spage>34</spage><epage>50</epage><pages>34-50</pages><issn>0009-7330</issn><issn>1524-4571</issn><eissn>1524-4571</eissn><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. 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subjects | Animals Atrial Fibrillation - genetics Atrial Fibrillation - metabolism Epigenesis, Genetic Gene Regulatory Networks Genetic Loci Humans Transcriptome |
title | Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation |
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