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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2021.752662</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Shared Genetic Etiology of Primary Dilated Cardiomyopathy and Ischemic Dilated Cardiomyopathy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Yang</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="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1306659/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xiao</surname> <given-names>Lei</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="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/888207/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Ke</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1550626/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1550386/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Song</surname> <given-names>Xiuli</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1550390/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Zongzhe</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1452319/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Chenze</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1550679/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Yanghui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/840624/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Shiyang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Jin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1067800/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tan</surname> <given-names>Lun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Dong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1137429/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Ting</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1550404/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1494428/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1380838/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jin</surname> <given-names>Li</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>Shi</surname> <given-names>Leming</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Marian</surname> <given-names>Ali J.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Dao Wen</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="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/795812/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Hubei Key Laboratory of Genetics and Molecular Mechanism of Cardiologic Disorders, Huazhong University of Science and Technology</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Center for Cardiovascular Genetics, Institute of Molecular Medicine and Department of Medicine, University of Texas Health Sciences Center at Houston</institution>, <addr-line>Houston, TX</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Yi-Qing Yang, Shanghai Jiaotong University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Douglas A. Marchuk, Duke University, United States; Andreas Brodehl, Heart and Diabetes Center North Rhine-Westphalia, Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ali J. Marian <email>ali.j.marian&#x00040;uth.tmc.edu</email></corresp>
<corresp id="c002">Dao Wen Wang <email>dwwang&#x00040;tjh.tjmu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Cardiovascular Genetics and Systems Medicine, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>752662</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Sun, Xiao, Li, Wang, Song, Li, Li, Chen, Li, Huang, Tan, Hu, Yu, Li, Wang, Jin, Shi, Marian and Wang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Sun, Xiao, Li, Wang, Song, Li, Li, Chen, Li, Huang, Tan, Hu, Yu, Li, Wang, Jin, Shi, Marian and Wang</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><bold>Background:</bold> Mutations in genes encoding sarcomere and cytoskeletal proteins are major causes of primary dilated cardiomyopathy (DCM). Likewise, ischemic myocardial injury is a major cause of secondary cardiac remodeling, which, in a subset, is severe and resembles DCM. The latter is referred to as ischemic dilated cardiomyopathy (IDCM). We postulated the presence of pathogenic and likely pathogenic variants (PVs and LPVs, respectively) in genes known to cause primary DCM might predispose the heart to severe cardiac dilatation and dysfunction post myocardial ischemic injury, i.e., IDCM.</p>
<p><bold>Methods:</bold> We performed whole-exome sequencing in 1,041 patients with primary DCM, 215 patients with IDCM, and 414 healthy controls. Indices of cardiac size and function were similar between those with primary and ischemic DCM. PVs and LPVs, including the truncating variants in 36 genes known to cause primary DCM were identified and compared among the three groups.</p>
<p><bold>Results:</bold> Pathogenic variants and LPVs were detected in 266 individuals, comprised of 215/1,041 (20.7%) patients with DCM, 27/215 (12.6%) patients with IDCM, and 24/414 (5.8%) control individuals. PVs and LPVs in the <italic>TTN</italic> gene were the most common and detected in 130/1,041 (12.5%) of patients with DCM, 15/215 (7.0%) of cases with IDCM, and 10/414 (2.4%) control individuals. Of 135 <italic>TTN</italic>tv, 118 involved exons that were &#x0003E;90% spliced in. These variants were found in 120/1,041 (11.5%) of DCM patients, 6/215 (2.8%) of IDCM cases, and only in 1/414 (0.2%) of the control population (<italic>p</italic> &#x0003C; 0.001 among the three groups).</p>
<p><bold>Conclusions:</bold> Pathogenic variants and LPVs in genes known to cause primary DCM are enriched in patients with IDCM, suggesting that such variants function as susceptibility alleles for cardiac dilatation and dysfunction in post myocardial ischemic injury. Thus, IDCM shares a partial genetic etiology with the primary DCM.</p></abstract>
<kwd-group>
<kwd>dilated cardiomyopathy</kwd>
<kwd>ischemic cardiomyopathy</kwd>
<kwd><italic>TTN</italic></kwd>
<kwd>whole-exome sequencing</kwd>
<kwd>ACMG classification</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="20"/>
<page-count count="7"/>
<word-count count="4889"/>
</counts>
</article-meta>
</front>
<body>
<list list-type="simple">
<list-item><p>- <bold>What is already known about this subject?</bold></p></list-item>
</list>
<p>Ischemic myocardial injury is a major cause of secondary cardiac remodeling, which, in a subset, is severe and resembles dilated cardiomyopathy (DCM) while DCM is a genetic disorder caused from mutations in genes encoding sarcomere and cytoskeletal proteins of genes.</p>
<list list-type="simple">
<list-item><p>- <bold>What does this study add?</bold></p></list-item>
</list>
<p>Ischemic dilated cardiomyopathy (IDCM) shares a partial genetic etiology with the primary DCM.</p>
<list list-type="simple">
<list-item><p>- <bold>How might this impact on clinical practice?</bold></p></list-item>
</list>
<p>The findings might prompt the precision diagnosis of IDCM.</p>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The heart responds to a stimulus, whether internal or external, with hypertrophy, dilatation, and dysfunction. Dilated cardiomyopathy (DCM), characterized by cardiac dilatation and systolic dysfunction, represents a common response of the heart to an internal stimulus, namely, a genetic mutation. DCM is mainly caused by the pathogenic variants (PVs) in genes encoding sarcomere and cytoskeletal proteins. The <italic>TTN</italic> gene, encoding the giant protein titin, is the major cause of primary DCM. PVs and likely PVs (LPVs) in the <italic>TTN</italic> gene are found in approximately 15% of the sporadic DCM cases (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Coronary artery disease and its thrombotic complications, leading to myocardial infarction (MI) and ischemia, are also major causes of cardiac dilatation and dysfunction, which is commonly referred to as ischemic cardiac remodeling (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). The remodeling, which represents the response of the heart to extrinsic factors, such as impaired myocardial blood flow, is variable. Whereas most patients after a bout of myocardial injury develop stable cardiac remodeling with minimal or no evidence of heart failure, a subset progresses to severe cardiac dilatation, dysfunction, and refractory heart failure. The latter group is referred to as ischemic dilated cardiomyopathy (IDCM), which has a phenotypic resemblance to that of primary DCM.</p>
<p>Factors that determine inter-individual variability in the response of the heart to a genetic mutation or to an ischemic injury are not well-known. The genetic backgrounds of the individuals are expected to be important determinants of the phenotypic consequence of myocardial ischemic injury, as in other forms of cardiovascular diseases, including hereditary cardiomyopathies (<xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Pathogenic variants in over two dozen genes are major causes of primary DCM (<xref ref-type="bibr" rid="B7">7</xref>). Notable among the well-established causal variants for DCM are the truncating variants in the <italic>TTN</italic> gene (<italic>TTN</italic>tv), which are the most common causes of primary DCM (<xref ref-type="bibr" rid="B1">1</xref>). However, <italic>TTN</italic>tv are also found in the general population, albeit at a much lower population frequency (<xref ref-type="bibr" rid="B1">1</xref>). The characteristics of <italic>TTN</italic>tv that cause primary DCM, as opposed to those identified in the apparently healthy individuals, are not well-known but those located in the genomic regions corresponding to the A band of the TTN proteins are more likely to be pathogenic (<xref ref-type="bibr" rid="B8">8</xref>). Overall, <italic>TTN</italic>tv are considered as susceptibility factors to eccentric cardiac remodeling in the general population and in patients with peripartum cardiomyopathy (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Accordingly, we postulated that the PVs and LPVs in the <italic>TTN</italic> and other genes known to cause DCM would increase susceptibility of the heart to cardiac dilatation and dysfunction post MI. Accordingly, PVs are expected to be more prevalent in patients with IDCM as compared to the control healthy individuals. To test this hypothesis, we performed whole-exome sequencing (WES) in 215 patients with IDCM, 1,041 patients with primary DCM, and 414 healthy controls and compared the frequencies of the PVs and LPVs among the three groups.</p></sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Patient Population</title>
<p>We recruited 1,041 patients with primary DCM, 215 patients with IDCM, and 414 healthy individuals from Tongji Hospital, Wuhan, China, between July 2007 and December 2018. Primary DCM was defined as left ventricular or biventricular dilatation [left ventricular end diastolic diameter &#x0003E; 33 mm/m<sup>2</sup> (men) or &#x0003E; 32 mm/m<sup>2</sup> (women)] and systolic dysfunction [left ventricular ejection fraction (LVEF) &#x0003C;50%], in the absence of secondary causes, such as abnormal loading conditions or coronary artery disease (CAD), according to the European Society of Cardiology guidelines (<xref ref-type="bibr" rid="B11">11</xref>). IDCM was characterized as left ventricular or biventricular systolic dysfunction (LVEF &#x0003C; 50%) after MI and/or revascularization for CAD and dilatation [Left Ventricular End-Diastolic Diameter (LVEDD) &#x0003E; 33 mm/m<sup>2</sup> (men) or &#x0003E;32 mm/m<sup>2</sup> (women)]. CAD was defined as the presence of &#x0003E;75% stenosis in at least one of the three major coronary arteries, confirmed by coronary artery angiography, a history of MI, and/or revascularization. Patients with abnormal loading conditions, such as vulvar heart disease or ventricular aneurysm resulting from MI were excluded.</p>
<p>The control individuals were either those who underwent coronary angiography to assess possible CAD and were found to have no significant obstructive coronary lesions (<italic>N</italic> = 212) or were healthy subjects from the community who had no history of heart disease including CAD (<italic>N</italic> = 202). The investigation conforms with the principles outlined in the Declaration of Helsinki. The study was approved by the institutional review board of the Tongji Hospital. All study participants signed written informed consents. Baseline characteristic data were extracted from a centralized hospital database or collected from a review of community health care centers. All the subjects were of Han Chinese origin based on family name and self-report.</p></sec>
<sec>
<title>Whole-Exome Sequencing</title>
<p>Genomic DNA was extracted from peripheral blood leukocytes using the TIANamp Blood DNA Kit (Tiangen, China) and quantified with Nanodrop 2,000 (Life Technology, USA). WES was performed by Berry Genomics Co. Ltd., (Beijing, China) and WuXiAppTec (Shanghai, China) using SureSelect Human All Exon version 6.0 (Agilent) and an Illumina sequencing platform in paired-end mode of 150 bp (Illumina, USA).</p>
<p>The WES data were processed in accordance with the best practice of The Genome Analysis Toolkit (<xref ref-type="bibr" rid="B12">12</xref>). In brief, the sequencing reads were aligned to the human reference genome GRCH37 (hg19) using Burrows-Wheeler Alignment Tool, followed by removal of the duplicates using Picard tools (<xref ref-type="bibr" rid="B13">13</xref>). The variants in each sample were called using HaplotypeCaller and consolidated across multiple samples with the GenomicsDBImport and GenotypeGVCFs tools. Finally, the VariantRecalibrator and ApplyRecalibration tools were used to filter the raw variant call set.</p></sec>
<sec>
<title>Bioinformatics Analysis</title>
<p>The filtered variant call set was annotated using ANNOVAR (<xref ref-type="bibr" rid="B14">14</xref>). The key resources used for variant annotation are listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>. PVs and LPVs were defined per ACGM guidelines (<xref ref-type="bibr" rid="B15">15</xref>) and variants with a minor allele frequency (MAF) of &#x0003C;0.001 in the East Asian population in the Genome Aggregation database (gnomAD) dataset were included for further analysis (<xref ref-type="bibr" rid="B16">16</xref>). The truncating variants were defined as frameshift, non-sense, and canonical splicing site variants. Population stratification analysis were performed by VCFtools (<xref ref-type="bibr" rid="B17">17</xref>) and plink (<xref ref-type="bibr" rid="B18">18</xref>) based on genomic data from the 1,000 Genome Project. To compare the distribution of the variants in the selected gene set, ggplot2, and maftools from R were used to graph the population structure and waterfall plots (<xref ref-type="bibr" rid="B19">19</xref>).</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>Data are presented as mean &#x000B1; SD for continuous variables and as percentages for categorical variables. Fisher exact test or Pearson chi-square test of association were used to compare the population frequencies across the groups. All <italic>p</italic>-values are two-tailed, and those lower than the threshold <italic>p</italic>-value of 0.05 was considered statistically significant.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Characteristics of the Study Population</title>
<p>A total of 1,670 subjects were recruited from Tongji Hospital from January 2008 through December 2018. All individuals were of Chinese Han origin (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). The baseline characteristics of the study populations are shown in <xref ref-type="table" rid="T1">Table 1</xref>. Patients with DCM were the youngest (mean age: 55.32 years) and the control individuals were the oldest (mean age 65.49 years). There are more male subjects in the IDCM group than in the DCM group (85.6 vs. 73.5%, respectively <italic>p</italic> &#x0003C; 0.001). Likewise, diabetes mellitus was more common in the IDCM as compared to the DCM group (32.1 vs. 16.9%, <italic>p</italic> &#x0003C; 0.001). Atrial fibrillation (AF) was common in patients with DCM as compared to the IDCM group (22.4 vs. 7.4%, respectively, <italic>p</italic> &#x0003C; 0.001). Finally, the mean LVEDD was slightly greater in patients with DCM than in those with IDCM [64.72 mm (95% CI: 63.89&#x02013;65.55 mm) vs. 66.65 mm (95% CI: 66.14&#x02013;67.15 mm)]. All DCM and IDCM patients had severely depressed LVEF.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of the study population.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Control</bold></th>
<th valign="top" align="center"><bold>IDCM</bold></th>
<th valign="top" align="center"><bold>DCM</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-values</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">N</td>
<td valign="top" align="center">414</td>
<td valign="top" align="center">215</td>
<td valign="top" align="center">1,041</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age, Years</td>
<td valign="top" align="center">65.49 &#x000B1; 8.88</td>
<td valign="top" align="center">62.94 &#x000B1; 9.97</td>
<td valign="top" align="center">55.32 &#x000B1; 13.90</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (%)</td>
<td valign="top" align="center">187 (45.2)</td>
<td valign="top" align="center">184 (85.6)</td>
<td valign="top" align="center">765 (73.5)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">BMI, Kg/m2</td>
<td valign="top" align="center">22.81 &#x000B1; 3.05</td>
<td valign="top" align="center">24.74 &#x000B1; 3.35</td>
<td valign="top" align="center">23.89 &#x000B1; 4.45</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic> (%)</td>
<td valign="top" align="center">21 (5.1)</td>
<td valign="top" align="center">119 (55.9)</td>
<td valign="top" align="center">536 (51.5)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes, <italic>n</italic> (%)</td>
<td valign="top" align="center">1 (0.2)</td>
<td valign="top" align="center">69 (32.1)</td>
<td valign="top" align="center">176 (16.9)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Left bundle branch block, <italic>n</italic> (%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">15 (7.0)</td>
<td valign="top" align="center">108 (10.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation, <italic>n</italic> (%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">16 (7.4)</td>
<td valign="top" align="center">233 (22.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Ventricular tachycardia, <italic>n</italic> (%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">25 (11.6)</td>
<td valign="top" align="center">137 (13.2)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">LVEDD, mm</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">64.72 &#x000B1; 6.20</td>
<td valign="top" align="center">66.65 &#x000B1; 8.23</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">LAEDD, mm</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">47.82 &#x000B1; 9.93</td>
<td valign="top" align="center">45.61 &#x000B1; 7.74</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">IVS, mm</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">9.73 &#x000B1; 1.45</td>
<td valign="top" align="center">9.63 &#x000B1; 1.51</td>
<td valign="top" align="center">0.381</td>
</tr>
<tr>
<td valign="top" align="left">LVPW, mm</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">9.71 &#x000B1; 1.37</td>
<td valign="top" align="center">9.62 &#x000B1; 1.40</td>
<td valign="top" align="center">0.369</td>
</tr>
<tr>
<td valign="top" align="left">E/e&#x02032;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">25.03 &#x000B1; 16.66</td>
<td valign="top" align="center">23.21 &#x000B1; 14.33</td>
<td valign="top" align="center">0.186</td>
</tr>
<tr>
<td valign="top" align="left">E/A</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">1.48 &#x000B1; 0.95</td>
<td valign="top" align="center">1.73 &#x000B1; 1.65</td>
<td valign="top" align="center">0.065</td>
</tr>
<tr>
<td valign="top" align="left">LVEF, %</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">32.33 &#x000B1; 8.89</td>
<td valign="top" align="center">31.48 &#x000B1; 9.87</td>
<td valign="top" align="center">0.24</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>BMI, body mass index; IDCM, ischemic dilated cardiomyopathy; DCM, dilated cardiomyopathy; IVS, interventricular septum; LVEDD, left ventricular end diastolic diameter; LAEDD, left atrial end diastolic diameter; LVEF, left ventricular ejection fraction</italic>.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Quality Control Metrics</title>
<p>Sequencing generated an average of 12 giga bases (GB) of clean data per sample. The mean sequence coverage was more than 110&#x000D7; and on an average 98.74% of the target bases in each sample achieved at least 10&#x000D7; coverage (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>). Population structure analysis confirmed the east Asian ethnicity and revealed a homogenous population structure among three groups (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). Given the focus on genes known to cause DCM, only variants located in the 39 genes, which are well-established as causes of primary DCM, were analyzed. The selected genes were <italic>ABCC9, ACTC1, ACTN2, ANKRD1, BAG3, CAV3, CRYAB, CSRP3, DES, DMD, DSG2, DSP, FKTN, FLNC, FXN, ILK, JPH2, LAMA4, LAMP2, LDB3, LMNA, MYBPC3, MYH6, MYH7, NEXN, PDLIM3, PLN, RBM20, SCN5A, SGCD, SYNE1, TAZ, TCAP, TNNC1, TNNI3, TNNT2, TPM1, TTN</italic>, and <italic>VCL</italic>. After quality control and filtering for rare variants, a total of 2,191 variants, comprised of missense, non-sense, frameshift, and splicing variants in the above selected were identified in the entire study population (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>).</p></sec>
<sec>
<title>Population Frequencies of the PVs and LPVs</title>
<p>The number of individuals with the PVs, LPVs, and other categories of the variants in the study groups is depicted in <xref ref-type="table" rid="T2">Table 2</xref>. Population frequencies of both PVs and LPVs were the highest in DCM, intermediary in the IDCM, and the lowest in the control groups (<xref ref-type="table" rid="T2">Table 2</xref>). Overall, 215 (20.7%) patients with DCM, 27 (12.6%) patients with IDCM, and 24 (5.8%) control individuals had PVs or LPVs, indicating enrichment of the PVs and LPVs in the DCM and IDCM groups (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Number of individuals with each category of the pathogenic variants (PVs) and likely pathogenic variants (LPVs) per group (all genes).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Category</bold></th>
<th valign="top" align="center"><bold>Control</bold></th>
<th valign="top" align="center"><bold>IDCM</bold></th>
<th valign="top" align="center"><bold>DCM</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-values</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Pairwise P-values</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 414)</bold></th>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 215)</bold></th>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 1,041)</bold></th>
<th valign="top" align="center"><bold>Three groups</bold></th>
<th valign="top" align="center"><bold>IDCM vs. Control</bold></th>
<th valign="top" align="center"><bold>DCM vs. Control</bold></th>
<th valign="top" align="center"><bold>DCM vs. IDCM</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">PVs, <italic>n</italic> (%)</td>
<td valign="top" align="center">5 (1.2)</td>
<td valign="top" align="center">7 (3.3)</td>
<td valign="top" align="center">74 (7.1)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.141</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="left">LPVs, <italic>n</italic> (%)</td>
<td valign="top" align="center">19 (4.6)</td>
<td valign="top" align="center">20 (9.3)</td>
<td valign="top" align="center">150 (14.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">PVs &#x0002B; LPVs, <italic>n</italic> (%)</td>
<td valign="top" align="center">24 (5.8)</td>
<td valign="top" align="center">27 (12.6)</td>
<td valign="top" align="center">215 (20.7)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">VUS, <italic>n</italic> (%)</td>
<td valign="top" align="center">293 (70.8)</td>
<td valign="top" align="center">156 (72.6)</td>
<td valign="top" align="center">766 (73.6)</td>
<td valign="top" align="center">0.553</td>
<td valign="top" align="center">0.706</td>
<td valign="top" align="center">0.307</td>
<td valign="top" align="center">0.822</td>
</tr>
<tr>
<td valign="top" align="left">BVs &#x0002B; LBVs, <italic>n</italic> (%)</td>
<td valign="top" align="center">85 (20.5)</td>
<td valign="top" align="center">49 (22.8)</td>
<td valign="top" align="center">244 (23.4)</td>
<td valign="top" align="center">0.488</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.908</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>PVs, pathogenic variants; LPVs, likely pathogenic variants; VUS, variants of uncertain significance; BVs, benign variants; LBVs, likely benign variants</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Prevalence of pathogenic and likely pathogenic variants in each cohort. The pathogenic (PVs) and likely pathogenic (LPVs) variants was defined according to American College of Medical Genetics (ACMG) guidelines. The waterfall plot shows the overall prevalence of rare pathogenic variants from 39 causal genes of dilated cardiomyopathy (DCM) in patients with DCM, patients with ischemic dilated cardiomyopathy (IDCM), and control. Among the top 20 genes, 258 individuals carried PVs or LPVs.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-08-752662-g0001.tif"/>
</fig>
<p>Gene-centric analysis showed preponderance of the PVs and LPVs in the <italic>TTN</italic> gene, consistent with the large size of this gene, followed by the <italic>MYH7</italic>, which encodes major sarcomere protein myosin heavy chain 7 (<xref ref-type="table" rid="T3">Table 3</xref>). Accordingly, PVs and LPVs in the <italic>TTN</italic> genes were the most prevalent in all three groups with the DCM patients ranked top according to the proportion of individuals with the variants relative to the other cohorts (<xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="fig" rid="F1">Figure 1</xref>). PVs or LPVs in the <italic>TTN</italic> gene were detected in 130/1,041 (12.5%) of patients with DCM, 15/215 (7.0%) of cases with IDCM, and 10/414 (2.4%) control individuals (<xref ref-type="table" rid="T3">Table 3</xref>). The <italic>TTN</italic>tv variants were further analyzed to identify those which involved exons that were spliced in &#x0003E;90% in the transcripts, which are considered more likely to be pathogenic. Of the 135 <italic>TTN</italic>tv, 118 involved exons that were &#x0003E;90% spliced in and were detected in 120/1,041 (11.5%) DCM patients, 6/215 (2.8%) IDCM cases, and only 1/414 (0.2%) in the control population (<italic>p</italic> &#x0003C; 0.001 among the three groups). There are seven variants which are carried by two individuals and one variant by four individuals in DCM group.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Population frequency of pathogenic and likely pathogenic variants per ACMG guideline in specific genes.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Control</bold></th>
<th valign="top" align="center"><bold>IDCM</bold></th>
<th valign="top" align="center"><bold>DCM</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-values</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Pairwise</bold> <italic><bold>P</bold></italic><bold>-values</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>PVs &#x0002B; LPVs</bold></th>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 414)</bold></th>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 215)</bold></th>
<th valign="top" align="center"><bold>(<italic>N</italic> &#x0003D; 1,041)</bold></th>
<th valign="top" align="center"><bold>(Three groups)</bold></th>
<th valign="top" align="center"><bold>IDCM vs. Control</bold></th>
<th valign="top" align="center"><bold>DCM vs. Control</bold></th>
<th valign="top" align="center"><bold>DCM vs. IDCM</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All genes, <italic>n</italic> (%)</td>
<td valign="top" align="center">24 (5.8)</td>
<td valign="top" align="center">27 (12.6)</td>
<td valign="top" align="center">215 (20.7)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left"><italic>TTN, n</italic> (%)</td>
<td valign="top" align="center">10 (2.4)</td>
<td valign="top" align="center">15 (7.0)</td>
<td valign="top" align="center">130 (12.5)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.029</td>
</tr>
<tr>
<td valign="top" align="left"><italic>MYH7, n</italic> (%)</td>
<td valign="top" align="center">3 (0.7)</td>
<td valign="top" align="center">5 (2.3)</td>
<td valign="top" align="center">18 (1.7)</td>
<td valign="top" align="center">0.234</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">0.228</td>
<td valign="top" align="center">0.753</td>
</tr>
<tr>
<td valign="top" align="left"><italic>MYBPC3, n</italic> (%)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (0.5)</td>
<td valign="top" align="center">11 (1.1)</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center">0.739</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left"><italic>ACTN2, n</italic> (%)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (0.5)</td>
<td valign="top" align="center">9 (0.9)</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.739</td>
<td valign="top" align="center">0.127</td>
<td valign="top" align="center">0.858</td>
</tr>
<tr>
<td valign="top" align="left"><italic>DSP, n</italic> (%)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">7 (0.7)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.482</td>
</tr>
<tr>
<td valign="top" align="left">Other genes, <italic>n</italic> (%)</td>
<td valign="top" align="center">11 (2.7)</td>
<td valign="top" align="center">5 (2.3)</td>
<td valign="top" align="center">47 (4.5)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.137</td>
<td valign="top" align="center">0.201</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The missense variants in the <italic>MYH7</italic> gene, which considered LPVs per the American College of Medical Genetics (ACMG) guidelines, were the second most frequent variants in the study populations and were detected more commonly in DCM (18/1,041, 1.7%) and IDCM (5/215, 2.3%), as compared to the control population (3/414,0.7%), as shown in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<p>There were no significant differences between male or females or sex-by-genotype (PVs and LPVs) interactions in the echocardiographic indices of left ventricular size or function in patients with IDCM who carried PVs and LPVs in the <italic>TTN</italic> and other cardiomyopathy genes.</p></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The findings of the present study, based on WES of a large number of patients with IDCM and primary DCM, showed enrichment of the PVs and LPVs in genes known to cause primary DCM in patients with IDCM, as compared to the ethnically matched control population. In accord with the large size of the <italic>TTN</italic> gene and the relatively large effect sizes of the truncating variants as compared to missense variants, <italic>TTN</italic>tv were the most enriched PVs and LPVs in the IDCM patients, followed by the PVs and LPVs in the <italic>MYH7</italic> gene. Overall, the prevalence of the PVs and LPVs followed a gradient being the highest in those with primary DCM, intermediary in those with IDCM, and the lowest in the control population. Collectively, the data suggest a shared genetic etiology between primary DCM and cardiac dilatation and systolic dysfunction post myocardial ischemic injury, a phenotype referred to as IDCM or ischemic heart failure.</p>
<p>The study benefits from a relatively large sample size of patients with IDCM and DCM and includes an ethnically-matched group, who were also sequenced as opposed to using the data on the population frequency of the variants from the existing databases, such as the gnomAD. The design of the study, in a sense, might be considered analogous to including positive control, namely the DCM cases and negative control, i.e., the control individuals. The findings of the highest prevalence of PVs and LPVs in the DCM group and the lowest in the control group offer further credence to the results. It is also important to note that both DCM and the control individuals were analyzed by WES and annotated side-by-side with the IDCM cases. Moreover, the study design also benefits from inclusion of the phenotypic extremes, i.e., those who had developed severe cardiac dilatation and dysfunction, which enables testing the hypothesis of shared genetic basis of DCM and IDCM and has a lower risk of erroneous null findings. Finally, the control population had either undergone coronary angiography and had no evidence of obstructive coronary lesions and/or had no prior history of MI and other major cardiovascular and medical diseases. The primary DCM was defined per the conventional criteria and had no obstructive coronary lesions. On the other hand, all patients with IDCM had obstructive coronary lesions and/or a history of MI, as defined by the conventional criteria. Finally, PVs and LPVs were defined per the ACGM criteria and the findings were further extended to the truncating variants, which are less amenable to spurious annotation.</p>
<p>The findings of the present study showing a shared genetic etiology between DCM and IDCM are in accord with the previous data showing increased population prevalence of the <italic>TTN</italic>tv in cases with primary sporadic DCM and peripartum cardiomyopathy (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Likewise, the findings, in principle, are in agreement with the recent data showing enrichment of the <italic>TTN</italic>tv and PVs or LPVs in other DCM genes in patients with heart failure, including those with heart failure due to ischemic injury (<xref ref-type="bibr" rid="B6">6</xref>). Collectively, the sample size of the study along with detailed phenotypic characterization and reliable categorization of the genetic variants enabled establishing the shared genetic etiology of DCM and IDCM. The higher frequency of PVs and LPVs in the DCM cases, as opposed to IDCM, likely reflects the effect sizes of the variants, those with larger effect sizes causing DCM and those with smaller ones serving as susceptibility variants requiring a second insult, such as myocardial ischemia. The notion is in accord with the gradient of effect sizes of the genetic variants (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>The study has several limitations. The term IDCM, which may be considered a misnomer, was used to denote severe cardiac dilatation and dysfunction resulting from myocardial ischemic injury due to obstructive coronary artery disease or MI. The phenotype may also be referred to as ischemic heart failure. The study has a cross-sectional design, simply comparing the frequency of the genetic variants among the three study populations. Consequently, it has the shortcomings of the cross-sectional study design, ranging from an ascertainment to survival bias, albeit the latter is unlikely, as those with susceptibility genetic variants would be expected to have poorer survival, hence, leading to a lower frequency of such variants in the surviving individuals. A desirable study would entail a prospective longitudinal study whereby every participant undergoes genotyping (by sequencing) and serial assessment of cardiac size and function post an ischemic insult. Furthermore, the sample size of IDCM is relatively small compared to the DCM group and might weaken the significance of genetic etiology in MI population.</p>
<p>In conclusion, the data supports a shared genetic etiology between IDCM and primary DCM. Accordingly, the presence of the PVs and LPVs in genes known to cause DCM predisposes the heart to dilatation and dysfunction post myocardial injury. The findings imply that genetic screening could lead to identification of individuals who carrying PVs and LPVs in genes known to cause cardiomyopathies and hence, identification of those who are susceptible to developing IDCM post myocardial injury.</p></sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>.</p></sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Board of the Tongji Hospital. The patients/participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7">
<title>Author Contributions</title>
<p>DW and AM: planning of the work and funding acquisition and guarantor. YS and LX: data curation and conduct of the work. KL, HW (4th author), XS, ZL, CL, YC, SL, RL, and HW (15th author): investigation. JH, LT, TY, XS, and HW (4th author): reporting of the work. YC and DH: software. YS and YC: visualization. YS and LX: writing&#x02014;original draft. DW, AM, LJ, and LS: writing&#x02014;review and editing. All authors contributed to the article and approved the submitted version.</p></sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This work was supported in part by key grants from National Nature Science Foundation of China (Nos. 81630010, 91839302, 81790624, and 8210021927), National Key R&#x00026;D Program of China (No. 2017YFC0909400), and Shanghai Municipal Science and Technology Major Project (No. 2017SHZDZX01). AM was supported in part by R01 grants from NIH- National Heart, Lung, and Blood Institute (HL151737 and HL132401).</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>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
</body>
<back>
<ack>
<p>The authors thank the staff and participants of the study for important contributions and Berry Genomics Co. Ltd., and WuXiAppTec for whole-exome sequencing.</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2021.752662/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2021.752662/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
<ref-list>
<title>References</title>
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