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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcell.2021.630069</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Decoding Genetics of Congenital Heart Disease Using Patient-Derived Induced Pluripotent Stem Cells (iPSCs)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>McBride</surname> <given-names>Kim L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1146534/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Garg</surname> <given-names>Vidu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1058736/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhao</surname> <given-names>Ming-Tao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1006534/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Center for Cardiovascular Research, The Abigail Wexner Research Institute, Nationwide Children&#x2019;s Hospital</institution>, <addr-line>Columbus, OH</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>The Heart Center, Nationwide Children&#x2019;s Hospital</institution>, <addr-line>Columbus, OH</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Division of Genetic and Genomic Medicine, Nationwide Children&#x2019;s Hospital</institution>, <addr-line>Columbus, OH</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Pediatrics, The Ohio State University College of Medicine</institution>, <addr-line>Columbus, OH</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Molecular Genetics, The Ohio State University</institution>, <addr-line>Columbus, OH</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sveva Bollini, University of Genoa, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Albano Carlo Meli, INSERM U1046 Physiologie et m&#x00E9;decine exp&#x00E9;rimentale du coeur et des muscles, France; Luca Sala, Istituto Auxologico Italiano (IRCCS), Italy</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ming-Tao Zhao, <email>Mingtao.Zhao@NationwideChildrens.Org</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Stem Cell Research, a section of the journal Frontiers in Cell and Developmental Biology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>01</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>630069</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>11</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>01</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Lin, McBride, Garg and Zhao.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Lin, McBride, Garg and Zhao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Congenital heart disease (CHD) is the most common cause of infant death associated with birth defects. Recent next-generation genome sequencing has uncovered novel genetic etiologies of CHD, from inherited and <italic>de novo</italic> variants to non-coding genetic variants. The next phase of understanding the genetic contributors of CHD will be the functional illustration and validation of this genome sequencing data in cellular and animal model systems. Human induced pluripotent stem cells (iPSCs) have opened up new horizons to investigate genetic mechanisms of CHD using clinically relevant and patient-specific cardiac cells such as cardiomyocytes, endothelial/endocardial cells, cardiac fibroblasts and vascular smooth muscle cells. Using cutting-edge CRISPR/Cas9 genome editing tools, a given genetic variant can be corrected in diseased iPSCs and introduced to healthy iPSCs to define the pathogenicity of the variant and molecular basis of CHD. In this review, we discuss the recent progress in genetics of CHD deciphered by large-scale genome sequencing and explore how genome-edited patient iPSCs are poised to decode the genetic etiologies of CHD by coupling with single-cell genomics and organoid technologies.</p>
</abstract>
<kwd-group>
<kwd>congenital heart disease</kwd>
<kwd>human induced pluripotent stem cells</kwd>
<kwd>NOTCH signaling</kwd>
<kwd>hypoplastic left heart syndrome</kwd>
<kwd>genetic models of CHD</kwd>
</kwd-group>
<contract-num rid="cn001">18CDA34110293</contract-num>
<contract-num rid="cn002">R01HL132801</contract-num>
<contract-num rid="cn002">R01 HL144009</contract-num>
<contract-sponsor id="cn001">American Heart Association<named-content content-type="fundref-id">10.13039/100000968</named-content></contract-sponsor>
<contract-sponsor id="cn002">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content></contract-sponsor>
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<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="111"/>
<page-count count="10"/>
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</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Congenital heart disease (CHD) is a leading cause of birth defect-related death and affects &#x223C;1% of live births in the United States (<xref ref-type="bibr" rid="B29">Hoffman and Kaplan, 2002</xref>; <xref ref-type="bibr" rid="B68">Nees and Chung, 2019</xref>). CHD is characterized by morphological abnormalities in the cardiac chambers, septa and valves as well as the great vessels arising from the heart. Congenital malformations of all aspects of the heart have been described but the most common types of CHD can be classified into the following categories: (1) cardiac septation defects, (2) conotruncal and aortic arch artery anomalies, (3) right- and left-sided outflow tract obstructive defects, and (4) left-right abnormalities (heterotaxy) (<xref ref-type="bibr" rid="B15">Garg, 2006</xref>; <xref ref-type="bibr" rid="B6">Bruneau, 2008</xref>). Septation defects consist of atrial septal defects (ASD), ventricular septal defects (VSD) and atrioventricular septal defects (AVSD) while common conotruncal and aortic arch artery anomalies include tetralogy of Fallot (TOF), persistent truncus arteriosus and interrupted aortic arch. Right-sided outflow tract obstructive lesions include pulmonary stenosis and pulmonary valve atresia with intact ventricular septum (PA-IVS), whereas hypoplastic left heart syndrome (HLHS), aortic valve stenosis (AVS) and bicuspid aortic valve (BAV) are common left-sided outflow tract obstructive defects. Abnormalities in left-right signaling in the developing embryos affect cardiac looping, which is critical for proper alignment of the atria chambers to their appropriate-sided ventricles and great vessels. This disruption in proper signaling is associated with complex forms of CHD, such as double outlet right ventricle and double inlet left ventricle, clinically termed as heterotaxy syndrome (<xref ref-type="bibr" rid="B38">Kathiriya and Srivastava, 2000</xref>). Other major CHD that does not fit into the abovementioned categories includes isolated valve anomalies (e.g., Ebstein&#x2019;s anomaly of the tricuspid valve and mitral valve prolapse), total anomalous pulmonary venous connection, anomalous coronary artery and patent ductus arteriosus.</p>
<p>Epidemiologic studies reveal that genetic factors are the predominant cause of CHD whereas environmental factors (exposures, maternal conditions, intrauterine environment, etc.) are also important contributors (<xref ref-type="bibr" rid="B50">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="B76">Pierpont et al., 2018</xref>). In total, specific genetic and environmental factors can be identified in 20&#x2013;30% of all CHD cases. Genetic mechanisms underlying the development of CHD are complex and remain elusive using current genetic approaches (<xref ref-type="bibr" rid="B51">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="B76">Pierpont et al., 2018</xref>). There are limited animal models to study the developmental genetics of CHD, and transgenic mice carrying human variants do not always recapitulate the clinical phenotypes of CHD (<xref ref-type="bibr" rid="B56">Majumdar et al., 2019</xref>). Human iPSCs are derived from somatic cells (such as skin fibroblasts or peripheral blood mononuclear cells) and have the potential to generate all cell types in the body originated from the three germ layers (<xref ref-type="bibr" rid="B95">Takahashi et al., 2007</xref>; <xref ref-type="bibr" rid="B103">Yu et al., 2007</xref>). Compared to animal models, patient iPSCs are clinically relevant and also include the genetic background of the affected individuals in a disease-specific manner, thus providing a powerful tool for studying the contribution of a given genetic variant to CHD. Patient-specific iPSCs can be differentiated into cardiomyocytes, endothelial/endocardial cells, cardiac fibroblasts and smooth muscle cells, which makes it feasible to study complex genetic regulation and gene-environment interactions simultaneously in multiple cell types in the heart (<xref ref-type="bibr" rid="B31">Hu et al., 2016</xref>; <xref ref-type="bibr" rid="B108">Zhao et al., 2017a</xref>; <xref ref-type="bibr" rid="B20">Gifford et al., 2019</xref>). Recent studies demonstrate that genome-edited iPSCs are ideal platforms to elucidate the regulatory roles of non-coding genetic variants in the risk of coronary artery disease and to investigate the contribution of combinatorial interactions of multiple genetic variants to complex cardiovascular disease (<xref ref-type="bibr" rid="B52">Lo Sardo et al., 2018</xref>; <xref ref-type="bibr" rid="B12">Deacon et al., 2019</xref>).</p>
<p>In this review, we discuss the latest progress on genetic etiologies of CHD uncovered by the state-of-the-art technologies such as whole genome sequencing (WGS) and whole exome sequencing. We explore the fascinating perspectives on using patient-specific iPSCs and CRISPR genome editing to functionally study the genetic and epigenetic (environmental) determinants of CHD.</p>
</sec>
<sec id="S2">
<title>Genetics of CHD</title>
<p>With the advance of massively parallel sequencing, genetics of CHD have been aggressively explored in the past decade. Large scientific efforts such as NIH-funded Pediatric Cardiac Genomics Consortium (PCGC) have been established to coordinate the investigation of genetic variants present in CHD patient population relevant to clinical outcomes (<xref ref-type="bibr" rid="B75">Pediatric Cardiac Genomics Consortium et al., 2013</xref>; <xref ref-type="bibr" rid="B34">Jin et al., 2017</xref>). The genetic basis of CHD can be grouped into two categories: syndromic CHD and non-syndromic (isolated) CHD (<xref ref-type="bibr" rid="B76">Pierpont et al., 2018</xref>). Syndromic CHD is defined as CHD with other congenital anomalies, neurodevelopmental defects and/or dysmorphic features. Syndromic CHD may be caused by aneuploidy, copy number variants (insertions or deletions &#x003E; 1,000 nucleotides), or single gene defects. Down syndrome (trisomy 21) is a common chromosome anomaly, and 40&#x2013;50% of these patients have various types of CHD, with cardiac septation defects being the most common. Turner syndrome is caused by complete or partial loss of an X-chromosome, and left-sided defects (coarctation of the aorta, COA), BAV and HLHS are present in 30% of these patients. 22q11.2 deletion syndrome is one of the most common copy number variants with deletion of more than 40 genes on chromosome 22. Outflow tract defects are present in 75&#x2013;80% of 22q11.2 patients. Syndromic CHD caused by single-gene defects includes Alagille syndrome (variants in <italic>JAG1</italic> and <italic>NOTCH2</italic>) and Holt-Oram syndrome (variants in <italic>TBX5</italic>) (<xref ref-type="bibr" rid="B3">Basson et al., 1997</xref>; <xref ref-type="bibr" rid="B47">Li et al., 1997b</xref>; <xref ref-type="table" rid="T1">Table 1</xref>). Genetic contributors of isolated CHD have been emerging in the past two decades and most variants are located in genes that are involved in the molecular regulation of cardiac development. Syndromic and isolated CHD display distinct genetic architectures: <italic>de novo</italic> protein-truncating variants (PTVs) are significantly enriched in syndromic CHD whereas inherited PTVs are mostly derived from unaffected parents in isolated CHD (<xref ref-type="bibr" rid="B89">Sifrim et al., 2016</xref>; <xref ref-type="bibr" rid="B34">Jin et al., 2017</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>A summary of single-gene variants underlying CHD.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Gene</bold></td>
<td valign="top" align="left"><bold>CHD</bold></td>
<td valign="top" align="left"><bold>Discovery methods</bold></td>
<td valign="top" align="left"><bold>References</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>GATA4</italic></td>
<td valign="top" align="left">Atrial septal defect <break/>Atrioventricular septal defect <break/>Pulmonary stenosis <break/>Tetralogy of Fallot <break/>Ventricular septal defect</td>
<td valign="top" align="left">Linkage analysis <break/>PCR <break/>Targeted sequencing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B16">Garg et al., 2003</xref><break/><xref ref-type="bibr" rid="B27">Hirayama-Yamada et al., 2005</xref><break/><xref ref-type="bibr" rid="B71">Okubo et al., 2004</xref><break/><xref ref-type="bibr" rid="B86">Sarkozy et al., 2005</xref><break/><xref ref-type="bibr" rid="B100">Tomita-Mitchell et al., 2007</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>JAG1</italic></td>
<td valign="top" align="left">Pulmonary artery stenosis <break/>Tetralogy of Fallot</td>
<td valign="top" align="left">BAC <break/>FISH <break/>Linkage analysis <break/>PCR <break/>SSCP <break/>Targeted sequencing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B14">Eldadah et al., 2001</xref><break/><xref ref-type="bibr" rid="B46">Li et al., 1997a</xref><break/><xref ref-type="bibr" rid="B60">Mcdaniell et al., 2006</xref><break/><xref ref-type="bibr" rid="B70">Oda et al., 1997</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>MIB1</italic></td>
<td valign="top" align="left">Left ventricular non-compaction</td>
<td valign="top" align="left">PCR <break/>Targeted sequencing <break/>Transgenic mice <break/>Zebrafish reporter assays</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B54">Luxan et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NKX2-5</italic></td>
<td valign="top" align="left">Atrial septal defects <break/>Atrioventricular conduction block <break/>Ebstein&#x2019;s anomaly <break/>Tetralogy of Fallot</td>
<td valign="top" align="left">FISH <break/>Linkage analysis <break/>PCR <break/>Targeted sequencing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B4">Benson et al., 1999</xref><break/><xref ref-type="bibr" rid="B21">Goldmuntz et al., 2001</xref><break/><xref ref-type="bibr" rid="B87">Schott et al., 1998</xref><break/><xref ref-type="bibr" rid="B92">Stallmeyer et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>NOTCH1</italic></td>
<td valign="top" align="left">Aortic valve stenosis <break/>Bicuspid aortic valve <break/>Coarctation of the aorta <break/>Hypoplastic left heart syndrome <break/>Tetralogy of Fallot</td>
<td valign="top" align="left"><italic>In vitro</italic> expression assay <break/>Luciferase reporter assay <break/>Microarray <break/>Whole exome sequencing <break/>Whole genome sequencing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B13">Durbin et al., 2017</xref><break/><xref ref-type="bibr" rid="B17">Garg et al., 2005</xref><break/><xref ref-type="bibr" rid="B59">Mcbride et al., 2008</xref><break/><xref ref-type="bibr" rid="B39">Kerstjens-Frederikse et al., 2016</xref><break/><xref ref-type="bibr" rid="B93">Stittrich et al., 2014</xref><break/><xref ref-type="bibr" rid="B104">Zahavich et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>PCDHA13</italic> <break/><italic>SAP130</italic></td>
<td valign="top" align="left">Hypoplastic left heart syndrome</td>
<td valign="top" align="left">Mouse forward genetics <break/>Whole exome sequencing</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B51">Liu et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>TBX5</italic></td>
<td valign="top" align="left">Atrial septal defect <break/>Ventricular septal defect</td>
<td valign="top" align="left">Enhancer reporter assay PCR <break/>Targeted sequencing <break/>Transgenic mice <break/>Zebrafish reporter assay</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Basson et al., 1997</xref><break/><xref ref-type="bibr" rid="B47">Li et al., 1997b</xref>; <xref ref-type="bibr" rid="B61">Mcdermott et al., 2005</xref><break/><xref ref-type="bibr" rid="B91">Smemo et al., 2012</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>BAC, bacterial artificial chromosome; FISH, fluorescence <italic>in situ</italic> hybridization; SSCP, single-strand conformation polymorphism.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>Pathogenic variants linked to isolated CHD primarily encode transcription factors, signaling molecules, structural proteins and epigenetic modifiers that are essential for normal cardiac development (<xref ref-type="bibr" rid="B105">Zaidi et al., 2013</xref>; <xref ref-type="bibr" rid="B76">Pierpont et al., 2018</xref>; <xref ref-type="bibr" rid="B68">Nees and Chung, 2019</xref>; <xref ref-type="table" rid="T1">Table 1</xref>). For instance, genetic variants in highly conserved transcription factors critical for cardiac development are found in both familial and sporadic cases of CHD. <italic>NKX2-5</italic> variants are present in patients with TOF and ASD with conduction delay (<xref ref-type="bibr" rid="B87">Schott et al., 1998</xref>; <xref ref-type="bibr" rid="B4">Benson et al., 1999</xref>; <xref ref-type="bibr" rid="B21">Goldmuntz et al., 2001</xref>; <xref ref-type="bibr" rid="B92">Stallmeyer et al., 2010</xref>). Pathogenic <italic>GATA4</italic> variants are associated with ASD, VSD, AVSD, pulmonary stenosis (PS), and TOF (<xref ref-type="bibr" rid="B16">Garg et al., 2003</xref>; <xref ref-type="bibr" rid="B71">Okubo et al., 2004</xref>; <xref ref-type="bibr" rid="B27">Hirayama-Yamada et al., 2005</xref>; <xref ref-type="bibr" rid="B86">Sarkozy et al., 2005</xref>; <xref ref-type="bibr" rid="B100">Tomita-Mitchell et al., 2007</xref>). A small subset of <italic>GATA4</italic> variant-induced cardiac malformations in humans are recapitulated in transgenic mouse models harboring the mutant human <italic>GATA4</italic> variants (<xref ref-type="bibr" rid="B65">Misra et al., 2012</xref>; <xref ref-type="bibr" rid="B23">Han et al., 2015</xref>).</p>
<p>Components of the NOTCH signaling pathway are linked to both syndromic and isolated CHD. <italic>JAG1</italic> variants are observed in &#x223C;90% of Alagille syndrome patients whereas <italic>NOTCH2</italic> variants account for additional 1&#x2013;2% of individuals with Alagille syndrome (<xref ref-type="bibr" rid="B46">Li et al., 1997a</xref>; <xref ref-type="bibr" rid="B70">Oda et al., 1997</xref>; <xref ref-type="bibr" rid="B60">Mcdaniell et al., 2006</xref>; <xref ref-type="bibr" rid="B35">Kamath et al., 2012</xref>). Loss-of-function variants in <italic>JAG1</italic> cause pulmonary artery stenosis and TOF with or without pulmonary atresia (<xref ref-type="bibr" rid="B14">Eldadah et al., 2001</xref>). Heterozygous mutations in <italic>DLL4</italic> (ligand) and <italic>NOTCH1</italic> (receptor) lead to Adams Oliver syndrome with CHD present in about 25% of these patients (<xref ref-type="bibr" rid="B93">Stittrich et al., 2014</xref>; <xref ref-type="bibr" rid="B62">Meester et al., 2015</xref>). Variants in <italic>RBPJ</italic> which interacts with the cleaved NOTCH1 protein to form a transcriptional complex, are also linked to Adams Oliver syndrome (<xref ref-type="bibr" rid="B25">Hassed et al., 2012</xref>). Of note, pathogenic <italic>NOTCH1</italic> mutations are linked to BAV, HLHS, AVS, COA, and TOF (<xref ref-type="bibr" rid="B17">Garg et al., 2005</xref>; <xref ref-type="bibr" rid="B59">Mcbride et al., 2008</xref>; <xref ref-type="bibr" rid="B39">Kerstjens-Frederikse et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Durbin et al., 2017</xref>; <xref ref-type="bibr" rid="B104">Zahavich et al., 2017</xref>). Mechanistically, <italic>NOTCH1</italic> mutations reduce the ligand binding ability, interrupt the S1 cleavage of NOTCH receptor in the Golgi, and impair the epithelial-to-mesenchymal transition (<xref ref-type="bibr" rid="B82">Riley et al., 2011</xref>). In addition, germline mutations in <italic>MIB1</italic> which encodes an E3 ubiquitin ligase that promotes endocytosis of NOTCH ligands, lead to left ventricular non-compaction (LVNC) in autosomal-dominant pedigrees (<xref ref-type="bibr" rid="B54">Luxan et al., 2013</xref>). Myocardial <italic>Mib1</italic> mutations in mice cause the expansion of compact myocardium to proliferative immature trabeculae and interruption of chamber myocardium development.</p>
<p>The encyclopedia of DNA elements (ENCODE) project suggests that more than 80% of human genomic DNA has a biochemical function (<xref ref-type="bibr" rid="B8">Consortium, 2012</xref>). The majority of disease-causing variants identified by genome-wide association studies (GWAS) are located in non-coding DNA elements, many of which are embedded in the DNase I hypersensitive (open chromatin) regions (<xref ref-type="bibr" rid="B57">Maurano et al., 2012</xref>). GWAS in CHD have similar findings (<xref ref-type="bibr" rid="B9">Cordell et al., 2013</xref>; <xref ref-type="bibr" rid="B32">Hu et al., 2013</xref>; <xref ref-type="bibr" rid="B66">Mitchell et al., 2015</xref>; <xref ref-type="bibr" rid="B24">Hanchard et al., 2016</xref>). <italic>De novo</italic> variants in enhancer elements have been found in several human developmental defects including CHD and neurodevelopmental disorders (<xref ref-type="bibr" rid="B88">Short et al., 2018</xref>). For example, sequence variants in a limb-specific enhancer ZRS which is located nearly 1 Mb from its target gene <italic>sonic hedgehog</italic> (<italic>Shh</italic>) result in limb malformations such as preaxial polydactyly (<xref ref-type="bibr" rid="B45">Lettice et al., 2003</xref>). Copy number variants affecting topological associated domains have also been implicated in disrupting enhancers and causing developmental defects (<xref ref-type="bibr" rid="B53">Lupianez et al., 2015</xref>). Distal <italic>cis</italic>-regulatory elements have been identified in <italic>TBX5</italic>, of which variants are responsible for Holt-Oram syndrome (<xref ref-type="bibr" rid="B61">Mcdermott et al., 2005</xref>; <xref ref-type="bibr" rid="B91">Smemo et al., 2012</xref>). Among patients with Holt-Oram syndrome, three quarters have CHD, with ASD and VSD as the most common cardiac defects. A homozygous variant found in an enhancer about 90 kb downstream of <italic>TBX5</italic> is associated with isolated ASD and VSD in a cohort of non-syndromic CHD patients. This single-nucleotide variant compromises the enhancer activity driving expression of <italic>TBX5</italic> in the heart in both mouse and zebrafish transgenic models (<xref ref-type="bibr" rid="B91">Smemo et al., 2012</xref>). Recent WGS and chromatin immunoprecipitation sequencing have enabled researchers to expand the genetic variants in non-coding DNA elements that may have a regulatory role in controlling gene transcription during heart development (<xref ref-type="bibr" rid="B110">Zhao et al., 2017b</xref>; <xref ref-type="bibr" rid="B81">Richter et al., 2020</xref>). Non-coding <italic>de novo</italic> variants (DNVs) are significantly enriched in individuals with CHD and potentially exhibit transcriptional and post-transcriptional regulatory effects on genes critical for normal cardiac morphogenesis. Genetic architecture of CHD in cardiac regulatory non-coding DNVs will be further elucidated with the advance of WGS and precise genome editing technologies.</p>
</sec>
<sec id="S3">
<title>Patient-Specific iPSCs for Modeling Genetics of CHD</title>
<p>Although a genetic etiology is identified in about 1/3 of CHD patients, experimental models to functionally validate genetic variants associated with CHD are far from perfect. Genetically engineered mice have been used for studying fundamental genetics of cardiac development for more than 25 years. Murine models are able to recapitulate some aspects of human cardiac development due to their similar stages of cardiac morphogenesis and adult cardiac structure (<xref ref-type="bibr" rid="B56">Majumdar et al., 2019</xref>). However, there are substantial differences in genomic content and physiology between humans and mice. Orthologous heterozygous variants sometimes do not reproduce similar CHD phenotypes when introduced into the mouse genome. Patient-derived iPSCs appear to provide a unique platform to study the genetic mechanisms of CHDs as they retain all the genetic information of the original affected individuals. Combined with CRISPR/Cas9 genome-editing, single-cell genomics, and cardiac organoid engineering technologies, patient-specific iPSCs would greatly complement the murine genetic models of CHD and illustrate novel perspectives on genetic etiologies of CHD for future precision diagnosis and treatment.</p>
<p>Human iPSCs are promising models for studying genetic mechanisms of isolated CHD caused by single-gene defects. In addition to cell-autonomous inherited cardiac disease such as long QT syndrome (<xref ref-type="bibr" rid="B67">Moretti et al., 2010</xref>; <xref ref-type="bibr" rid="B33">Itzhaki et al., 2011</xref>), ventricular tachycardia (<xref ref-type="bibr" rid="B106">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="B90">Sleiman et al., 2020</xref>) and dilated cardiomyopathy (<xref ref-type="bibr" rid="B94">Sun et al., 2012</xref>; <xref ref-type="bibr" rid="B26">Hinson et al., 2015</xref>), patient iPSCs have been employed to model several types of CHD, including BAV and calcific aortic valve disease (CAVD) (<xref ref-type="bibr" rid="B98">Theodoris et al., 2015</xref>), supravalvular aortic stenosis (SVAS) (<xref ref-type="bibr" rid="B18">Ge et al., 2012</xref>), cardiac septal defects (<xref ref-type="bibr" rid="B2">Ang et al., 2016</xref>), Barth syndrome (<xref ref-type="bibr" rid="B101">Wang et al., 2014</xref>), and HLHS (<xref ref-type="bibr" rid="B30">Hrstka et al., 2017</xref>; <xref ref-type="bibr" rid="B102">Yang et al., 2017</xref>; <xref ref-type="bibr" rid="B63">Miao et al., 2020</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). Human iPSCs can be differentiated to the desired cardiovascular cell types relevant for studying different CHD (<xref ref-type="bibr" rid="B77">Protze et al., 2019</xref>), though the immaturity of iPSC-derived cardiomyocytes (iPSC-CMs) continues to be a challenge for recapitulating the physiological scenarios in the heart (<xref ref-type="bibr" rid="B36">Karbassi et al., 2020</xref>; <xref ref-type="bibr" rid="B111">Zhao et al., 2020b</xref>). Robust cardiac differentiation protocols have been optimized to generate subtype-specific (atrial, ventricular and nodal) cardiomyocytes for precision disease modeling (<xref ref-type="bibr" rid="B107">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B44">Lee et al., 2017</xref>; <xref ref-type="bibr" rid="B78">Protze et al., 2017</xref>; <xref ref-type="bibr" rid="B79">Ren et al., 2019</xref>; <xref ref-type="bibr" rid="B48">Liang et al., 2020</xref>; <xref ref-type="bibr" rid="B109">Zhao et al., 2020a</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Current iPSC models for studying disease mechanisms of CHD.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>CHD</bold></td>
<td valign="top" align="left"><bold>Variants</bold></td>
<td valign="top" align="left"><bold>Cell types</bold></td>
<td valign="top" align="left"><bold>Disease phenotypes</bold></td>
<td valign="top" align="left"><bold>References</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">ASD VSD AVSD</td>
<td valign="top" align="left"><italic>GATA4</italic></td>
<td valign="top" align="left">Cardiomyocytes</td>
<td valign="top" align="left">Impaired contractility Defects in calcium handling Abnormal mitochondrial functions</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B2">Ang et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">BTHS</td>
<td valign="top" align="left"><italic>TAZ</italic></td>
<td valign="top" align="left">Cardiomyocytes</td>
<td valign="top" align="left">Irregular sarcomeres Abnormal myocardial contraction Excessive ROS generation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B101">Wang et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">CAVD</td>
<td valign="top" align="left"><italic>NOTCH1</italic></td>
<td valign="top" align="left">Endothelial cells</td>
<td valign="top" align="left">Defective epigenetic architecture Disrupted transcriptional response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B98">Theodoris et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLHS</td>
<td valign="top" align="left"><italic>NOTCH1</italic> Unknown</td>
<td valign="top" align="left">Cardiomyocytes</td>
<td valign="top" align="left">Abnormal gene expression NO signaling deficiency Disorganized sarcomeres Reduced contraction force Decreased metabolic activity</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B30">Hrstka et al., 2017</xref> <xref ref-type="bibr" rid="B72">Paige et al., 2020</xref> <xref ref-type="bibr" rid="B102">Yang et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLHS</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Endothelial cells</td>
<td valign="top" align="left">Endocardial differentiation defects</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B63">Miao et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">LVNC</td>
<td valign="top" align="left"><italic>MKL2 MYH7 NKX2-5</italic></td>
<td valign="top" align="left">Cardiomyocytes</td>
<td valign="top" align="left"><italic>NKX2-5</italic> is a genetic modifier Abnormal gene expression</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B20">Gifford et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">LVNC</td>
<td valign="top" align="left"><italic>TBX20</italic></td>
<td valign="top" align="left">Cardiomyocytes</td>
<td valign="top" align="left">Defects in cardiac proliferation Abnormal TGF-&#x03B2; signaling</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B40">Kodo et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">PA-IVS</td>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">Cardiomyocytes</td>
<td valign="top" align="left">Abnormal developmental trajectory Reduced contractility</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B42">Lam et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">SVAS</td>
<td valign="top" align="left"><italic>ELN</italic></td>
<td valign="top" align="left">Smooth muscle cells</td>
<td valign="top" align="left">Less mature and contractile Higher proliferation ability in response to PDGF</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B18">Ge et al., 2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">VSD</td>
<td valign="top" align="left"><italic>TBX5</italic></td>
<td valign="top" align="left">Cardiomyocytes</td>
<td valign="top" align="left"><italic>TBX5</italic> haploinsufficiency Disrupted gene regulatory network</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B37">Kathiriya et al., 2020</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>The CHD subtypes, genetic variants, relevant cell types, and disease phenotypes are listed. ASD, atrial septal defect; AVSD, atrioventricular septal defect; BTHS, Barth syndrome; CAVD, calcific aortic valve disease; HLHS, hypoplastic left heart syndrome; LVNC, left ventricular non-compaction; PA-IVS, pulmonary atresia with intact ventricular septum; SVAS, supravalvular aortic stenosis; VSD, ventricular septal defect.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>Human iPSC models of CHD have employed major cardiac cell types such as cardiomyocytes (CMs), vascular smooth muscle cells (SMCs), and endothelial/endocardial cells (ECs) that can be derived from patient-specific iPSCs for laboratory research. These patient-derived cardiac cells carrying genetic variants enable researchers to study the disease mechanisms in a petri dish (<xref ref-type="table" rid="T2">Table 2</xref>). For example, pathogenic <italic>GATA4</italic> variants cause cardiac septal defects and cardiomyopathy. A heterozygous variant in <italic>GATA4</italic> (G296S missense) is linked to 100% penetrant ASD, VSD, AVSD or PS (<xref ref-type="bibr" rid="B16">Garg et al., 2003</xref>). Human iPSC-CMs from heterozygous <italic>GATA4</italic>-G296S patients display impaired contractility, defects in calcium handling ability and abnormal mitochondrial functions (<xref ref-type="bibr" rid="B2">Ang et al., 2016</xref>). Molecular analysis reveals that mutant GATA4 disrupts the recruitment of TBX5 which binds to cardiac super-enhancers and leads to dysregulation of genes related to cardiac septation. In another study, <xref ref-type="bibr" rid="B98">Theodoris et al. (2015)</xref> have derived iPSCs from patients with BAV and CAVD which are linked to <italic>NOTCH1</italic> haploinsufficiency. In iPSC-derived endothelial cells (iPSC-ECs), <italic>NOTCH1</italic> heterozygous nonsense variants disrupt the epigenetic architecture of NOTCH1-bound enhancers and cause the depression of anti-osteogenic and anti-inflammatory gene regulation networks in response to hemodynamic shear stress (<xref ref-type="bibr" rid="B98">Theodoris et al., 2015</xref>). Furthermore, the same group have recently utilized a combination of human iPSC technology, machine learning and network analysis to identify an efficacious therapeutic candidate XCT790 for preventing and treating aortic valve disease in a mouse model, demonstrating the prospective pharmacogenetic applications of CHD patient-specific iPSCs (<xref ref-type="bibr" rid="B99">Theodoris et al., 2020</xref>). <xref ref-type="bibr" rid="B18">Ge et al. (2012)</xref> have employed iPSC-derived smooth muscle cells (iPSC-SMCs) to investigate how elastin (<italic>ELN</italic>) gene variants lead to narrowing or blockage of the ascending aorta in SVAS. SVAS iPSC-SMCs harboring <italic>ELN</italic> variants are less mature and contractile, and show fewer networks of smooth muscle actin filament bundles compared to healthy controls. These SVAS iPSC-SMCs have a higher proliferation ability and migration rate in response to platelet-derived growth factor (PDGF), indicating that SVAS iPSC-SMCs recapitulate the pathological features of SVAS patients and may provide novel insights for future therapies.</p>
<p>Human iPSCs have been utilized to study complex genetics in CHD together with transgenic mouse models and clinical genetics. A recent study reveals that <italic>NKX2-5</italic> variants serve as a genetic modifier of a familial LVNC cardiomyopathy with variable age of presentation from childhood to incidental asymptomatic finding in adulthood (<xref ref-type="bibr" rid="B20">Gifford et al., 2019</xref>). Human iPSCs were created carrying the inherited compound heterozygous variants in <italic>MKL2</italic>, <italic>MYH7</italic> and <italic>NKX2-5</italic> while genetically engineered mice carrying the orthologous variants were also generated. By analyzing the phenotypes from transgenic murine hearts and patient iPSC-CMs, <italic>NKX2-5</italic> variants are identified as a genetic modifier for this cardiomyopathy with oligogenic inheritance. In another study, LVNC iPSC lines were generated from patients with <italic>TBX20</italic> variants (<xref ref-type="bibr" rid="B40">Kodo et al., 2016</xref>). LVNC iPSC-CMs show defects in proliferation which is caused by the abnormal activation of TGF-&#x03B2; signaling. In mice, overexpression of TGF-&#x03B2;1 leads to arrest in cardiac development, disturbed expansion of embryonic cardiomyocytes and trabecular/compact layer ratio in the left ventricle. Mostly recently, Kathiriya and colleagues have generated <italic>TBX5</italic> knockout human iPSC lines with different dosages (heterozygous and homozygous) and performed single-cell RNA sequencing and gene regulatory network analysis. <italic>TBX5</italic> haploinsufficiency alters the expression of CHD-related genes and reduced <italic>TBX5</italic> gene dosage disrupts gene regulatory networks in human iPSC-CMs. Abnormal genetic interaction between <italic>Tbx5</italic> and <italic>Mef2c</italic> leads to ventricular septation defects in transgenic mice with reduced <italic>Tbx5</italic> gene dosage (<xref ref-type="bibr" rid="B37">Kathiriya et al., 2020</xref>). These studies further highlight the combinatorial advantages of using human iPSCs and transgenic mouse models to reveal genetic mechanisms of CHD pathogenesis (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>An integrated patient-specific iPSC model for studying genetics of CHD. Whole genome sequencing of CHD patients identifies prospective genetic variants that are retained in patient-specific iPSCs. Cardiovascular defects in CHD are recapitulated in patient iPSC-derived cardiac cells, such as cardiomyocytes (CMs), endocardial/endocardial cells (ECs), vascular smooth muscle cells (SMCs), and fibroblasts (FBs). Genetic variants associated with a CHD phenotype are corrected in diseased iPSCs and introduced to healthy iPSCs using CRISPR/Cas9 genome editing tools. These genome-edited iPSCs are further investigated to validate the cause-effect relationship between a given genetic variant and a CHD phenotype. In parallel, orthologous variants are genetically introduced into animal models (rodents, pigs, zebrafish, etc.) in order to investigate the <italic>in vivo</italic> effects of a given human variant on heart development. Together, an integrated model including both genome-edited human iPSCs and transgenic animals will yield a more comprehensive illustration of the genetic basis of CHD in the new era of genomic medicine.</p></caption>
<graphic xlink:href="fcell-09-630069-g001.tif"/>
</fig>
<p>Hypoplastic left heart syndrome is a severe form of CHD characterized by aortic and mitral valve atresia or stenosis, leading to a hypoplastic left ventricle and aorta (<xref ref-type="bibr" rid="B85">Saraf et al., 2019</xref>). Though HLHS has a strong genetic component, the genetic etiology of HLHS is complex (<xref ref-type="bibr" rid="B58">Mcbride et al., 2005</xref>). Further, mouse models are not able to fully recapitulate the clinical phenotype (<xref ref-type="bibr" rid="B51">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Grossfeld et al., 2019</xref>). Using HLHS patient-derived iPSC-CMs, multiple studies demonstrate the pathogenic link of <italic>NOTCH1</italic> variants to HLHS (<xref ref-type="bibr" rid="B97">Theis et al., 2015</xref>; <xref ref-type="bibr" rid="B13">Durbin et al., 2017</xref>; <xref ref-type="bibr" rid="B30">Hrstka et al., 2017</xref>; <xref ref-type="bibr" rid="B102">Yang et al., 2017</xref>). HLHS iPSCs harboring <italic>NOTCH1</italic> variants exhibit compromised ability to generate cardiac progenitors and HLHS iPSC-CMs show disorganized sarcomere structures and sarcoplasmic reticulum as well as a blunted drug response (<xref ref-type="bibr" rid="B102">Yang et al., 2017</xref>). Another independent study confirms that HLHS iPSCs have a deficiency in cardiomyocyte differentiation and NOTCH signaling pathway (<xref ref-type="bibr" rid="B30">Hrstka et al., 2017</xref>). Additionally, abnormalities in the nitric oxide (NO) pathway are found in the cardiac lineage specification of HLHS iPSCs with <italic>NOTCH1</italic> mutations. Small molecule supplementation could restore the cardiogenesis, implying a potential therapeutic target for HLHS patients. This study is consistent with the congenital cardiac abnormalities observed in <italic>Notch1</italic><sup>+/&#x2212;</sup>; <italic>Nos3</italic><sup>&#x2013;/&#x2013;</sup> transgenic mice and demonstrates that interaction between NO pathway and NOTCH signaling is required for proper development of the left-sided cardiac structures including the aortic valve (<xref ref-type="bibr" rid="B5">Bosse et al., 2013</xref>; <xref ref-type="bibr" rid="B41">Koenig et al., 2016</xref>). Recently, <xref ref-type="bibr" rid="B63">Miao et al. (2020)</xref> have highlighted the contribution of endocardial defects to the pathogenesis of HLHS using patient iPSCs and single-cell RNA sequencing of human fetuses with under developed left ventricles. Although the genetic causes of these HLHS iPSCs are unclear, endocardial defects lead to abnormal endothelial-to-mesenchymal transition, reduced cardiomyocyte proliferation and maturation, and disrupted fibronectin-integrin signaling. Another study by <xref ref-type="bibr" rid="B64">Mikryukov et al. (2021)</xref> has identified a critical role of BMP10 in the specification and maintenance of endocardial cells from human iPSCs. These iPSC-derived endocardial cells can induce trabeculation in iPSC-CMs and generate valvular interstitial-like cells, which are promising <italic>in vitro</italic> models for studying cardiac valve defects and LVNC. As the intercellular communication between endocardium and myocardium is essential for normal ventricular development (<xref ref-type="bibr" rid="B55">Macgrogan et al., 2018</xref>), further investigation would be warranted to illustrate how the abnormal crosstalk signaling leads to hypoplasia of the left ventricle using HLHS iPSC-CMs and iPSC-ECs.</p>
<p>The major challenge for studying genetics of CHD is lack of reliable models to functionally validate genetic variants that are discovered by massive genome sequencing. Although iPSC models are increasingly being used to study the contribution of genetic variation in the development of CHD, limitations should be carefully considered before any translational applications move forward. Human iPSC-CMs are fetal-like cardiomyocytes and show immature structural and physiological characteristics. For example, iPSC-CMs do not have mature structures of myofibrils and T-tubule, and they are misaligned compared to rod-shape adult cardiomyocytes (<xref ref-type="bibr" rid="B36">Karbassi et al., 2020</xref>; <xref ref-type="bibr" rid="B111">Zhao et al., 2020b</xref>). Enormous efforts have been made to promote the structural and functional maturation of iPSC-CMs, including the addition of thyroid and glucocorticoid hormones (<xref ref-type="bibr" rid="B74">Parikh et al., 2017</xref>), physical and electrical conditioning (<xref ref-type="bibr" rid="B83">Ronaldson-Bouchard et al., 2018</xref>), and co-culture with stromal cells in 3D cardiac microtissues (<xref ref-type="bibr" rid="B19">Giacomelli et al., 2020</xref>). In addition, iPSC-CMs are mostly cultured as a 2D structure which differs from the 3D structure of the human heart. Patient iPSC-derived cardiac organoids may be better models as a 3D substitute for the human heart (<xref ref-type="bibr" rid="B84">Rossi et al., 2018</xref>; <xref ref-type="bibr" rid="B80">Richards et al., 2020</xref>). However, it is still undetermined whether cardiac organoids can recapitulate the developmental scenarios of CHD pathogenesis. After all, any iPSC-based models are <italic>in vitro</italic> systems, which are fundamentally distinct from the <italic>in vivo</italic> environment. Although animal models best represent the <italic>in vivo</italic> environment, animals are different from humans in terms of physiology and genomics, and may not be clinically relevant. Therefore, we propose an integrated model which incorporates patient-specific iPSCs with transgenic animals (<xref ref-type="fig" rid="F1">Figure 1</xref>). We envision that genetic variants associated with a CHD phenotype are tested in genome-edited iPSCs which are patient-derived and clinically relevant, while orthologous variants are also genetically introduced to animal models (rodents, pigs, zebrafish, etc.) to investigate the <italic>in vivo</italic> functions. The combination of human iPSCs and transgenic animals will provide us a more comprehensive illustration of pathogenetic mechanisms of CHD.</p>
</sec>
<sec id="S4">
<title>Outlook</title>
<p>Recent advances in CRISPR/Cas9 genome editing (<xref ref-type="bibr" rid="B1">Adli, 2018</xref>), single-cell genomics (<xref ref-type="bibr" rid="B96">Tanay and Regev, 2017</xref>) and organoid (<xref ref-type="bibr" rid="B84">Rossi et al., 2018</xref>) technologies further propel the discovery of novel mechanisms of CHD development using patient- and disease-specific iPSCs. Precise genome editing technologies can be used to correct a given variant in patient iPSCs and then study whether the disease phenotypes can be rescued in genetically corrected isogenic cardiac cells (<xref ref-type="bibr" rid="B28">Hockemeyer and Jaenisch, 2016</xref>; <xref ref-type="bibr" rid="B12">Deacon et al., 2019</xref>). Concomitantly, this variant can be introduced to a healthy iPSC line with new genetic background to test whether it is sufficient to cause the disease phenotypes. Moreover, oligogenic inheritance in CHD may be studied in patient iPSCs by simultaneous correction or introduction of a combination of multiple genetic variants (<xref ref-type="bibr" rid="B20">Gifford et al., 2019</xref>). Single-cell RNA-seq analysis of human and mouse hearts has provided unprecedented resources on the trajectory of cardiac development <italic>in vivo</italic> at single-cell resolution and revealed a blueprint on how normal cell fate determination is altered under genetic perturbation and pathological conditions such as CHD (<xref ref-type="bibr" rid="B10">Cui et al., 2019</xref>; <xref ref-type="bibr" rid="B11">De Soysa et al., 2019</xref>; <xref ref-type="bibr" rid="B49">Litvinukova et al., 2020</xref>; <xref ref-type="bibr" rid="B73">Paik et al., 2020</xref>). Single-cell transcriptional profiling of healthy and diseased iPSCs during cardiac differentiation would decipher how a given genetic variant affects cardiac differentiation and developmental trajectories, and uncover new molecular insights in the pathogenesis of CHD (<xref ref-type="bibr" rid="B7">Churko et al., 2018</xref>; <xref ref-type="bibr" rid="B37">Kathiriya et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Lam et al., 2020</xref>; <xref ref-type="bibr" rid="B63">Miao et al., 2020</xref>; <xref ref-type="bibr" rid="B72">Paige et al., 2020</xref>). As heart development is dependent on interaction among multiple cell types in the embryo, cardiac organoids and 3D bio-printing may serve as another tier of disease modeling using patient iPSCs (<xref ref-type="bibr" rid="B43">Lee et al., 2019</xref>; <xref ref-type="bibr" rid="B69">Nugraha et al., 2019</xref>). Cardiac organoids contain the spatial information of multiple cardiac cell types and lay out a 3-D platform to study the complex interactions between genotypes and phenotypes under normal and diseased conditions using patient-specific iPSCs. Although cardiac organoids have been used for modeling drug-induced toxicity and myocardial infarction (<xref ref-type="bibr" rid="B80">Richards et al., 2020</xref>), it is still challenging to generate cardiac structures such as heart valves and septa that can represent the developmental defects in CHD using the current cardiac organoid technologies. Future therapeutic breakthroughs in precision medicine of CHD would require the convergence of precision genome editing, single-cell genomics and cardiac bioengineering, which is built upon clinically relevant and patient-specific iPSC platforms.</p>
</sec>
<sec id="S5">
<title>Author Contributions</title>
<p>HL and M-TZ: conception and design, figure preparation, manuscript writing, and final approval of manuscript. KM and VG: manuscript writing and final approval of manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This study was supported by the American Heart Association (AHA) Career Development Award 18CDA34110293 (M-TZ), Additional Ventures Innovation Fund (AVIF to M-TZ, KM, and VG), Additional Ventures Single Ventricle Research Fund (SVRF to M-TZ and VG), and National Institute of Health (NIH) grants R01 HL144009 and R01HL132801 (VG). M-TZ was also supported by startup funds from the Abigail Wexner Research Institute at Nationwide Children&#x2019;s Hospital.</p>
</fn>
</fn-group>
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