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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1069890</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2022.1069890</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of polymorphisms in genes orchestrating innate immune responses on replication kinetics of Torque teno virus after kidney transplantation</article-title>
<alt-title alt-title-type="left-running-head">Redondo et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fgene.2022.1069890">10.3389/fgene.2022.1069890</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Redondo</surname>
<given-names>Natalia</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="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1139790/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rodr&#xed;guez-Goncer</surname>
<given-names>Isabel</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>Parra</surname>
<given-names>Patricia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Albert</surname>
<given-names>Eliseo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1125643/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gim&#xe9;nez</surname>
<given-names>Estela</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1279703/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ruiz-Merlo</surname>
<given-names>Tamara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>L&#xf3;pez-Medrano</surname>
<given-names>Francisco</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>
</contrib>
<contrib contrib-type="author">
<name>
<surname>San Juan</surname>
<given-names>Rafael</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>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gonz&#xe1;lez</surname>
<given-names>Esther</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sevillano</surname>
<given-names>&#xc1;ngel</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1757779/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Andr&#xe9;s</surname>
<given-names>Amado</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Navarro</surname>
<given-names>David</given-names>
</name>
<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="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/728296/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aguado</surname>
<given-names>Jos&#xe9; Mar&#xed;a</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>
<uri xlink:href="https://loop.frontiersin.org/people/656896/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fern&#xe1;ndez-Ruiz</surname>
<given-names>Mario</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>
<uri xlink:href="https://loop.frontiersin.org/people/1205449/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Unit of Infectious Diseases, Hospital Universitario &#x2018;12 de Octubre&#x2019;, Instituto de Investigaci&#x00F3;n Sanitaria Hospital &#x2018;12 de Octubre&#x2019; (imas12)</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Centro de Investigaci&#xf3;n Biom&#xe9;dica en Red de Enfermedades Infecciosas (CIBERINFEC)</institution>, <institution>Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Microbiology</institution>, <institution>Instituto de Investigaci&#xf3;n Sanitaria INCLIVA</institution>, <institution>Hospital Cl&#xed;nico Universitario</institution>, <addr-line>Valencia</addr-line>, <country>Spain</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Medicine</institution>, <institution>School of Medicine</institution>, <institution>Universidad Complutense</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Nephrology</institution>, <institution>Instituto de Investigaci&#xf3;n Sanitaria Hospital &#x201c;12 de Octubre&#x201d; (imas12)</institution>, <institution>Hospital Universitario &#x201c;12 de Octubre&#x201d;</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Microbiology</institution>, <institution>School of Medicine</institution>, <institution>University of Valencia</institution>, <addr-line>Valencia</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/694309/overview">Katarzyna Bogunia-Kubik</ext-link>, Polish Academy of Sciences, Poland</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/40977/overview">Daniele Focosi</ext-link>, Pisana University Hospital, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/593808/overview">Val&#xe9;ria de Lima Kaminski</ext-link>, Federal University of S&#xe3;o Paulo, Brazil</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Natalia Redondo, <email>natalia.redondo.imas12@h12o.es</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Immunogenetics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>11</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1069890</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Redondo, Rodr&#xed;guez-Goncer, Parra, Albert, Gim&#xe9;nez, Ruiz-Merlo, L&#xf3;pez-Medrano, San Juan, Gonz&#xe1;lez, Sevillano, Andr&#xe9;s, Navarro, Aguado and Fern&#xe1;ndez-Ruiz.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Redondo, Rodr&#xed;guez-Goncer, Parra, Albert, Gim&#xe9;nez, Ruiz-Merlo, L&#xf3;pez-Medrano, San Juan, Gonz&#xe1;lez, Sevillano, Andr&#xe9;s, Navarro, Aguado and Fern&#xe1;ndez-Ruiz</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> Torque teno virus (TTV) DNAemia has been proposed as a surrogate marker of immunosuppression after kidney transplantation (KT), under the assumption that the control of viral replication is mainly exerted by T-cell-mediated immunity. However, Tthe impact on post-transplant TTV kinetics of single genetic polymorphisms (SNPs) in genes orchestrating innate responses remains unknown. We aimed to characterize the potential association between 14 of these SNPs and TTV DNA levels in a single-center cohort of KT recipients.</p>
<p>
<bold>Methods:</bold> Plasma TTV DNAemia was quantified by real-time PCR in 221&#xa0;KT recipients before transplantation (baseline) and regularly through the first 12 post-transplant months. We performed genotyping of the following SNPs: <italic>CTLA4</italic> (rs5742909, rs231775), <italic>TLR3</italic> (rs3775291), <italic>TLR9</italic> (rs5743836, rs352139), <italic>CD209</italic> (rs735240, rs4804803), <italic>IFNL3</italic> (rs12979860, rs8099917), <italic>TNF</italic> (rs1800629), <italic>IL10</italic> (rs1878672, rs1800872), <italic>IL12B</italic> (rs3212227) and <italic>IL17A</italic> (rs2275913).</p>
<p>
<bold>Results:</bold> The presence of the minor G allele of <italic>CD209</italic> (rs4804803) in the homozygous state was associated with undetectable TTV DNAemia at the pre-transplant assessment (adjusted odds ratio: 36.96; 95% confidence interval: 4.72&#x2013;289.67; <italic>p</italic>-value &#x3d; 0.001). After applying correction for multiple comparisons, no significant differences across SNP genotypes were observed for any of the variables of post-transplant TTV DNAemia analyzed (mean and peak values, areas under the curve during discrete periods, or absolute increments from baseline to day 15 and months 1, 3, 6 and 12 after transplantation).</p>
<p>
<bold>Conclusion:</bold> The minor G allele of <italic>CD209</italic> (rs4804803) seems to exert a recessive protective effect against TTV infection in non-immunocompromised patients. However, no associations were observed between the SNPs analyzed and post-transplant kinetics of TTV DNAemia. These negative results would suggest that post-transplant TTV replication is mainly influenced by immunosuppressive therapy rather than by underlying genetic predisposition, reinforcing its clinical application as a biomarker of adaptive immunity.</p>
</abstract>
<kwd-group>
<kwd>single-nucleotide polymorphisms</kwd>
<kwd>Torque teno virus</kwd>
<kwd>TTV replication kinetics</kwd>
<kwd>kidney transplantation</kwd>
<kwd>SNP</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The study of the human virome in health and disease has gained growing attention over recent years (<xref ref-type="bibr" rid="B56">Webb et al., 2020</xref>; <xref ref-type="bibr" rid="B11">Dodi et al., 2021</xref>). Viruses belonging to <italic>Anelloviridae</italic> famil<italic>y</italic> are the most abundant eukaryotic viruses in the virome and may be detected in a variety of samples, such as blood, plasma, urine or saliva (<xref ref-type="bibr" rid="B29">Kaczorowska and van der Hoek, 2020</xref>; <xref ref-type="bibr" rid="B3">Arze et al., 2021</xref>). Anelloviruses are non-enveloped viruses with small circular replication-associated protein-encoding single-stranded DNA genomes (<xref ref-type="bibr" rid="B4">Biagini, 2009</xref>; <xref ref-type="bibr" rid="B29">Kaczorowska and van der Hoek, 2020</xref>), which lack attributable pathogenic roles (&#x201c;orphan viruses&#x201d;) (<xref ref-type="bibr" rid="B18">Focosi et al., 2016</xref>; <xref ref-type="bibr" rid="B46">Rezahosseini et al., 2019</xref>). Once primary infection occurs at early stages of life, anelloviruses remain in different body compartments and fluids&#x2014;including peripheral blood mononuclear cells, feces, semen, throat swabs, umbilical cord blood, lungs, kidneys or cerebrospinal fluid&#x2014;under the control of the immune system, resulting in a prevalence as high as 90% in the adult population (<xref ref-type="bibr" rid="B43">Redondo et al., 2022a</xref>). The precise underlying mechanisms on how this immune control is carry out largely remain to be determined, although a major role has been proposed for the cellular arm. Belonging to the <italic>Alphatorquevirus</italic> genus and discovered in 1997 (<xref ref-type="bibr" rid="B38">Nishizawa et al., 1997</xref>), Torque teno virus (TTV) has been proven by us and others to serve as a convenient surrogate marker of the overall status of immunosuppression after solid organ (SOT) and allogeneic hematopoietic stem cell transplantation (HSCT) (<xref ref-type="bibr" rid="B15">Fernandez-Ruiz et al., 2019</xref>; <xref ref-type="bibr" rid="B46">Rezahosseini et al., 2019</xref>; <xref ref-type="bibr" rid="B37">Mouton et al., 2020</xref>; <xref ref-type="bibr" rid="B43">Redondo et al., 2022a</xref>; <xref ref-type="bibr" rid="B26">Jaksch et al., 2022</xref>).</p>
<p>The innate immunity acts as a frontline defense against viruses through an orchestrated response, that is, triggered upon recognition of viral motifs by pathogen recognition receptors (PRRs) present in macrophages and dendritic cells (<xref ref-type="bibr" rid="B51">Takeuchi and Akira, 2010</xref>). The rationale for the use of TTV DNAemia as a biomarker of immune competence after SOT lies on the assumption that the viral kinetics is mainly dictated by the T-cell-mediated immunity (<xref ref-type="bibr" rid="B43">Redondo et al., 2022a</xref>; <xref ref-type="bibr" rid="B26">Jaksch et al., 2022</xref>). Indeed, various studies have shown a direct correlation between TTV DNA loads and calcineurin inhibitors trough levels (<xref ref-type="bibr" rid="B22">Gorzer et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Jaksch et al., 2018</xref>). The role played by the innate immune arm in the setting of ongoing immunosuppression remains largely unknown, as is the potential impact of polymorphisms in genes coding for PRRs (such as toll-like receptors [TLRs]), interleukins (IL) or interferons (IFNs) (<xref ref-type="bibr" rid="B39">Prasetyo et al., 2015</xref>; <xref ref-type="bibr" rid="B40">Ramzi et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Ramzi et al., 2021</xref>). Evidence of an individual genetic susceptibility to TTV regardless of the amount of immunosuppressive therapy would question the reliability of viral replication as clinical biomarker in the SOT population.</p>
<p>We aimed to investigate the association between 14 single genetic polymorphisms (SNPs) in different genes mainly involved in the orchestration of innate immune responses (<xref ref-type="table" rid="T1">Table 1</xref>) and TTV DNA levels at baseline and various points during the first post-transplant year in a well characterized cohort of kidney transplant (KT) recipients (<xref ref-type="bibr" rid="B15">Fernandez-Ruiz et al., 2019</xref>). The selection of these SNPs was dictated by previous research showing a potential impact on the susceptibility to viral infections. In the case of <italic>TLR3</italic> (rs3775291), various pieces of evidence have shown an effect on the incidence of infection by cytomegalovirus (CMV) or BK polyomavirus (BKPyV), two relevant viral pathogens in the KT scenario, but also tick-borne encephalitis, chikungunya or hepatitis B virus (HBV) (<xref ref-type="bibr" rid="B30">Kindberg et al., 2011</xref>; <xref ref-type="bibr" rid="B20">Geng et al., 2016</xref>; <xref ref-type="bibr" rid="B50">Studzinska et al., 2017</xref>; <xref ref-type="bibr" rid="B17">Fischer et al., 2018</xref>; <xref ref-type="bibr" rid="B6">Bucardo et al., 2021</xref>; <xref ref-type="bibr" rid="B45">Redondo et al., 2022b</xref>). We have previously reported that certain SNPs in <italic>TLR9</italic> (rs5743836, rs352139) modulate the risk of CMV infection in two independent cohorts of KT recipients (<xref ref-type="bibr" rid="B16">Fernandez-Ruiz et al., 2015</xref>; <xref ref-type="bibr" rid="B45">Redondo et al., 2022b</xref>). Regarding SNPs located in the <italic>CD209</italic> gene, rs735240 appears to increase the incidence of CMV infection in seropositive KT recipients not receiving antiviral prophylaxis (<xref ref-type="bibr" rid="B16">Fernandez-Ruiz et al., 2015</xref>), whereas rs4804803 has been correlated with an increased susceptibility to dengue virus (<xref ref-type="bibr" rid="B54">Vargas-Castillo et al., 2018</xref>) and, more recently, BKPyV (<xref ref-type="bibr" rid="B44">Redondo et al., 2022c</xref>). We analyzed the SNPs located in <italic>IFNL4</italic> (rs12979860, rs8099917) due to its well-established relevance in other viral infections, including CMV (<xref ref-type="bibr" rid="B16">Fernandez-Ruiz et al., 2015</xref>) and hepatitis C virus (HCV) (<xref ref-type="bibr" rid="B19">Ge et al., 2009</xref>; <xref ref-type="bibr" rid="B52">Thomas et al., 2009</xref>). Finally, we aimed to validate in the SOT population the associations reported by other authors between <italic>CTLA4</italic> (rs5742909, rs231775), <italic>TNF</italic> (rs1800629), <italic>IL10</italic> (rs1800872, rs1878672), <italic>IL12B</italic> (rs3212227) and <italic>IL17</italic> (rs2275913) SNPs and the kinetics of TTV DNAemia after HSCT (<xref ref-type="bibr" rid="B40">Ramzi et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Ramzi et al., 2021</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Candidate SNPs selected for the present study.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Gene</th>
<th align="left">Encoded protein</th>
<th align="left">Biological function</th>
<th align="left">SNP ID number</th>
<th align="left">Nucleotide substitution (reference allele/ alternative allele)</th>
<th align="left">Global allele frequency<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="left">Impact of the SNP on the susceptibility to infection in previous studies<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">
<italic>CTLA4</italic>
</td>
<td rowspan="4" align="left">Cytotoxic T-lymphocyte antigen 4 (CTLA-4/CD152)</td>
<td rowspan="4" align="left">T-cell co-inhibitory receptor</td>
<td rowspan="2" align="left">rs5742909</td>
<td rowspan="2" align="left">C / T</td>
<td align="left">C &#x3d; 0.91755</td>
<td rowspan="2" align="left">Increased risk of CMV after SOT (<xref ref-type="bibr" rid="B36">Misra et al. 2015</xref>)</td>
</tr>
<tr>
<td align="left">T &#x3d; 0.08245</td>
</tr>
<tr>
<td rowspan="2" align="left">rs231775</td>
<td rowspan="2" align="left">A / G</td>
<td align="left">A &#x3d; 0.628256</td>
<td rowspan="2" align="left">Increased risk of chronic HCV in the general population (<xref ref-type="bibr" rid="B2">Ali et al. 2022</xref>) and CMV after SOT (<xref ref-type="bibr" rid="B36">Misra et al. 2015</xref>)</td>
</tr>
<tr>
<td align="left">G &#x3d; 0.371744</td>
</tr>
<tr>
<td rowspan="2" align="left">
<italic>TLR3</italic>
</td>
<td rowspan="2" align="left">Toll-like receptor 3: endosomal PRR</td>
<td rowspan="2" align="left">Endocytic pathogen recognition receptor of single and double-stranded RNA</td>
<td rowspan="2" align="left">rs3775291</td>
<td rowspan="2" align="left">C / T</td>
<td align="left">C &#x3d; 0.716526</td>
<td rowspan="2" align="left">Increased risk of CMV (<xref ref-type="bibr" rid="B45">Redondo et al. 2022b</xref>) and BKPyV after SOT (<xref ref-type="bibr" rid="B44">Redondo et al. 2022c</xref>), increased risk of dengue (<xref ref-type="bibr" rid="B48">Singh et al. 2021</xref>) and HBV in the general population (<xref ref-type="bibr" rid="B57">Ye et al. 2020</xref>)</td>
</tr>
<tr>
<td align="left">T &#x3d; 0.283474</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TLR9</italic>
</td>
<td rowspan="4" align="left">Toll-like receptor 9: endosomal PRR</td>
<td rowspan="4" align="left">Recognition of unmethylated CpG motif-containing DNA</td>
<td rowspan="2" align="left">rs5743836</td>
<td rowspan="2" align="left">A / G</td>
<td align="left">A &#x3d; 0.80444</td>
<td rowspan="2" align="left">Protection against TB (<xref ref-type="bibr" rid="B55">Varshney et al. 2022</xref>), increased risk of dengue (<xref ref-type="bibr" rid="B48">Singh et al. 2021</xref>), higher HBV viral load (<xref ref-type="bibr" rid="B8">Chihab et al. 2019</xref>) in the general population</td>
</tr>
<tr>
<td align="left">G &#x3d; 0.19556</td>
</tr>
<tr>
<td rowspan="2" align="left">rs352139</td>
<td rowspan="2" align="left">T / C</td>
<td align="left">T &#x3d; 0.458978</td>
<td rowspan="2" align="left">Increased risk of CMV after SOT (<xref ref-type="bibr" rid="B45">Redondo et al. 2022b</xref>), increased risk of EBV-related IM in the general population (<xref ref-type="bibr" rid="B25">Jablonska et al. 2020</xref>)</td>
</tr>
<tr>
<td align="left">C &#x3d; 0.541022</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>CD209</italic>
</td>
<td rowspan="4" align="left">Dendritic cell-specific ICAM 3-grabbing nonintegrin (DC-SIGN/CD209): endosomal C-type lectin receptor</td>
<td rowspan="4" align="left">Recognition of carbohydrates present in viruses, bacteria, fungi and parasites and DAMPs in damaged host T-cells</td>
<td rowspan="2" align="left">rs735240</td>
<td rowspan="2" align="left">G / A</td>
<td align="left">G &#x3d; 0.57414</td>
<td rowspan="2" align="left">Increased risk of CMV after SOT (<xref ref-type="bibr" rid="B16">Fernandez-Ruiz et al. 2015</xref>) and HSCT (<xref ref-type="bibr" rid="B34">Mezger et al. 2008</xref>)</td>
</tr>
<tr>
<td align="left">A &#x3d; 0.42586</td>
</tr>
<tr>
<td rowspan="2" align="left">rs4804803</td>
<td rowspan="2" align="left">A / G</td>
<td align="left">A &#x3d; 0.786719</td>
<td rowspan="2" align="left">Protection against BKPyV after SOT (<xref ref-type="bibr" rid="B44">Redondo et al. 2022c</xref>), protection against severe dengue (<xref ref-type="bibr" rid="B47">Sakuntabhai et al. 2005</xref>) and TBE (<xref ref-type="bibr" rid="B10">Czupryna et al. 2017</xref>) and increased risk of symptomatic CHIKV (<xref ref-type="bibr" rid="B7">Chaaithanya et al. 2016</xref>) in the general population</td>
</tr>
<tr>
<td align="left">G &#x3d; 0.213281</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IFNL4</italic>
</td>
<td rowspan="4" align="left">Interferon-&#x3bb;3 (IL28B), type III interferon: soluble immune mediator</td>
<td rowspan="4" align="left">Antiviral cytokine</td>
<td rowspan="2" align="left">rs12979860</td>
<td rowspan="2" align="left">C / T</td>
<td align="left">C &#x3d; 0.672446</td>
<td rowspan="2" align="left">Lower HCV clearance upon IFN-&#x3b1; therapy in the general population (<xref ref-type="bibr" rid="B35">Miri et al. 2021</xref>), protection against CMV after SOT (<xref ref-type="bibr" rid="B16">Fernandez-Ruiz et al. (2015</xref>) and HSCT (<xref ref-type="bibr" rid="B5">Bravo et al. 2014</xref>)</td>
</tr>
<tr>
<td align="left">T &#x3d; 0.327554</td>
</tr>
<tr>
<td rowspan="2" align="left">rs8099917</td>
<td rowspan="2" align="left">T / G</td>
<td align="left">T &#x3d; 0.808472</td>
<td rowspan="2" align="left">Lower HCV clearance upon IFN-&#x3b1; therapy in the general population (<xref ref-type="bibr" rid="B31">Li et al. 2016</xref>), protection against CMV after SOT (<xref ref-type="bibr" rid="B12">Egli et al. 2014</xref>)</td>
</tr>
<tr>
<td align="left">G &#x3d; 0.191528</td>
</tr>
<tr>
<td rowspan="2" align="left">
<italic>TNF</italic>
</td>
<td rowspan="2" align="left">Tumor necrosis factor</td>
<td rowspan="2" align="left">Pro-inflammatory cytokine</td>
<td rowspan="2" align="left">rs1800629</td>
<td rowspan="2" align="left">G / A</td>
<td align="left">G &#x3d; 0.847933</td>
<td rowspan="2" align="left">Increased risk of severe influenza (<xref ref-type="bibr" rid="B1">Alagarasu et al. 2021</xref>) and COVID-19 (<xref ref-type="bibr" rid="B23">Gupta et al. 2022</xref>) in the general population</td>
</tr>
<tr>
<td align="left">A &#x3d; 0.152067</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL10</italic>
</td>
<td rowspan="4" align="left">Interleukin-10: human cytokine</td>
<td rowspan="4" align="left">Pleiotropic cytokine</td>
<td rowspan="2" align="left">rs1800872</td>
<td rowspan="2" align="left">T / G</td>
<td align="left">T &#x3d; 0.29385</td>
<td rowspan="2" align="left">Increased risk of BKPyV after SOT (<xref ref-type="bibr" rid="B44">Redondo et al. 2022c</xref>)</td>
</tr>
<tr>
<td align="left">G &#x3d; 0.70615</td>
</tr>
<tr>
<td rowspan="2" align="left">rs1878672</td>
<td rowspan="2" align="left">G / C</td>
<td align="left">G &#x3d; 0.68890</td>
<td rowspan="2" align="left">No apparent impact on the risk of CNV after HSCT (<xref ref-type="bibr" rid="B9">Corrales et al. 2015</xref>)</td>
</tr>
<tr>
<td align="left">C &#x3d; 0.31110</td>
</tr>
<tr>
<td rowspan="2" align="left">
<italic>IL12B</italic>
</td>
<td rowspan="2" align="left">Interleukin-12: human cytokine</td>
<td rowspan="2" align="left">Pro-inflammatory cytokine, T-cell and NK proliferation</td>
<td rowspan="2" align="left">rs3212227</td>
<td rowspan="2" align="left">T / G</td>
<td align="left">T &#x3d; 0.784650</td>
<td rowspan="2" align="left">Higher CMV viruria in newborns with congenital infection (<xref ref-type="bibr" rid="B28">Jedlinska-Pijanowska et al. 2021</xref>)</td>
</tr>
<tr>
<td align="left">G &#x3d; 0.215350</td>
</tr>
<tr>
<td rowspan="2" align="left">
<italic>IL17</italic>
</td>
<td rowspan="2" align="left">Interleukin-17: human cytokine</td>
<td rowspan="2" align="left">Pro-inflammatory cytokine, cell trafficking, immune modulation, induction of innate immunity, tissue repair</td>
<td rowspan="2" align="left">rs2275913</td>
<td rowspan="2" align="left">G / A</td>
<td align="left">G &#x3d; 0.665743</td>
<td rowspan="2" align="left">Increased risk of cutaneous leishmaniasis (<xref ref-type="bibr" rid="B21">Goncalves de Albuquerque et al. 2019</xref>) and protection against TB (<xref ref-type="bibr" rid="B14">Eskandari-Nasab et al. 2018</xref>) in the general population</td>
</tr>
<tr>
<td align="left">A &#x3d; 0.334257</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Obtained from ALFA Allele Frequency (available at: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/snp/">https://www.ncbi.nlm.nih.gov/snp/</ext-link>).</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>The clinical effect associated with the minor (alternative) allele of the corresponding SNP is detailed.</p>
</fn>
<fn>
<p>BKPyV, BK polyomavirus; CHIK, chikungunya virus; CMV, cytomegalovirus; COVID-19, coronavirus disease 2019; CTLA-4, cytotoxic T-lymphocyte antigen 4; DAMP, damage-associated molecular pattern; HBV, hepatitis B virus; HCV, hepatitis C virus; HSCT, hematopoietic stem cell transplantation; IFN, interferon; IL, interleukin; IM, infectious mononucleosis; NK, natural killer; PRR, pattern recognition receptor; SD, standard deviation; SNP, single-nucleotide polymorphism; SOT, solid organ transplantation; TB, tuberculosis; TLR, toll-like receptor; TNF, tumor necrosis factor; TTV, torque teno virus.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Material and methods</title>
<sec id="s2-1">
<title>Study population and setting</title>
<p>The present research was performed as a <italic>post hoc</italic> retrospective analysis of a previous study that investigated the role of TTV DNA levels to predict the occurrence of serious and opportunistic infection and <italic>de novo</italic> malignancy in a cohort of KT recipients recruited at the University Hospital &#x201c;12 de Octubre&#x201d; (a 1,300-bed tertiary care center in Madrid with an active KT program since 1990) between November 2014 and December 2016 (<xref ref-type="bibr" rid="B15">Fernandez-Ruiz et al., 2019</xref>). As detailed elsewhere, adult patients with end-stage renal disease (ESRD) undergoing KT during the study period and providing informed consent were eligible for inclusion. Exclusion criteria included double organ transplantation and primary graft non-function. By applying these criteria, 221&#xa0;KT recipients were eventually included. The study was performed in accordance with the ethical standards laid down in the Declarations of Helsinki and Istanbul. The local Clinical Research Ethics Committee approved the study protocol.</p>
</sec>
<sec id="s2-2">
<title>Study design</title>
<p>Participants were enrolled at the time of KT and followed-up for at least 12&#xa0;months, unless graft loss (retransplantation or return to dialysis) or death occurred earlier. Plasma TTV DNA load was quantified at baseline (i.e., within 6&#xa0;h prior to the transplant procedure), day 7, and months 1, 3, 6 and 12 by a polymerase chain reaction (PCR)-based quantitative nucleic acid amplification test. Immunosuppression and prophylaxis regimens are detailed as <xref ref-type="sec" rid="s11">Supplementary Material</xref>.</p>
</sec>
<sec id="s2-3">
<title>Single genetic polymorphisms genotyping</title>
<p>Whole blood specimens that have been stored at &#x2212;70&#xb0;C were retrieved for SNP genotyping. DNA was extracted with the KingFisher Duo Prime system using the MagMax DNA Multi-Sample Ultra 2.0 kit (Thermo Fisher Scientific, Waltham, MA) following the manufacturer&#x2019;s instructions. <italic>CTLA4</italic> (rs5742909, rs231775), <italic>TLR3</italic> (rs3775291), <italic>TLR9</italic> (rs5743836, rs352139), <italic>CD209</italic> (rs735240, rs4804803), <italic>IFNL3</italic> (rs12979860, rs8099917), <italic>TNF</italic> (rs1800629), <italic>IL10</italic> (rs1878672, rs1800872), <italic>IL12B</italic> (rs3212227) and <italic>IL17A</italic> (rs2275913) genotyping was performed by Taqman technology (Thermo Fisher Scientific) in a QuantStudio 3 real-time PCR system (Applied Biosystems, Foster City, CA). SNP and allele calling was made by means of the TaqMan Genotyper Software version 1.0 (Applied Biosystems) and the QuantStudio Design and Analysis Software version 1.5.1 (ThermoFisher Scientific).</p>
</sec>
<sec id="s2-4">
<title>Plasma torque teno virus DNA load quantification</title>
<p>TTV DNA extraction and quantification was performed as previously described (<xref ref-type="bibr" rid="B15">Fernandez-Ruiz et al., 2019</xref>). Briefly, DNA was extracted from 200&#xa0;&#x3bc;L of plasma with the NucliSENSR easyMAGR automated system (bioM&#xe9;rieux, Marcy&#x2010;l&#x2019;&#xc9;toile, France), following the manufacturer&#x2019;s instructions. DNA loads were quantified by means of a real&#x2010;time PCR assay targeting a highly conserved segment of the 5&#x2032;untranslated region of the viral genome (TTV R-gene kit, ARGENE range, bioM&#xe9;rieux). PCR amplification and amplicon detection was performed on an ABI Prism 7500 system (PE Biosystems, Foster City, CA). The viral load (in copy numbers per mL) was determined using a standard curve with known copy numbers and log10&#x2010;transformed for statistical analyses. The lower limit of detection (LLoD) was 167 copies/mL [95% confidence interval (CI): 92&#x2010;581] or 2.2 log<sup>10</sup> copies/mL (95% CI: 2.0&#x2013;2.8), with DNA quantitation in the linear range from 2.1 &#xd7; 10<sup>2</sup> to 2.1 &#xd7; 10<sup>7</sup>&#xa0;copies/ml. Specimens with undetectable DNA loads were assigned a value of 0.01 (&#x2212;2.0 log<sup>10</sup>) copies/mL for analysis purposes. All samples from each patient were simultaneously assayed in singlets.</p>
</sec>
<sec id="s2-5">
<title>Statistical analysis</title>
<p>Quantitative data were reported as the mean &#xb1; standard deviation (SD) or the median with interquartile range (IQR). Qualitative variables were given as absolute and relative frequencies. Normality of the distributions was tested with the Kolgomorov-Smirnov test. Deviation from the Hardy-Weinberg equilibrium for each SNP was evaluated by the &#x3c7;<sup>2</sup> test with one degree of freedom. Comparisons of TTV kinetics at different points across SNP genotypes were performed by the &#x3c7;<sup>2</sup> test or the Fisher&#x2019;s exact test for qualitative variables (i.e. detectable or undetectable [below the LLoD] DNAemia), or by the T-Student or U-Mann-Whitney tests for continuous variables (i.e. plasma DNA levels). In addition, other viral kinetic parameters were compared across SNPs: peak plasma TTV DNA levels and areas under the curve (AUCs) for TTV DNAemia through discrete time periods (1, 3, and 6&#xa0;months after transplantation), and increments (&#x394;) in DNA levels from baseline to day 15 and months 1, 3, 6 and 12. Additional pairwise comparisons were conducted between different SNP genotype groups, either individually or in combination. The independent impact of selected SNPs on the probability of having undetectable TTV DNAemia was confirmed by logistic regression, with associations given as odds ratios (ORs) and 95% CIs. All the significance tests were two-tailed and considered as significant at a <italic>p</italic>-value &#x3c; 0.05. To control for <italic>p</italic>-value inflation due to multiple comparisons, the Bonferroni method (corrected &#x3b1; value &#x3d; nominal &#x3b1; value/total number of comparisons) was applied. Statistical analysis was performed using SPSS version 21 (Statistical Package for Social Sciences, Chicago, IL).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>We included 221&#xa0;KT recipients, whose demographics, clinical characteristics and patient and graft outcomes are detailed in <xref ref-type="table" rid="T2">Table 2</xref>. Samples from all the patients were successfully genotyped for the 14 SNPs considered. The median number of assessments for plasma TTV DNA per patient was 5 (IQR: 4&#x2013;5). The majority of recipients had detectable TTV DNAemia (i.e. above the LLoD) at every time point, ranging from 96.3% (180/187) at baseline to 99.4% (176/177) at post-transplant month 6. The genotypic frequencies of candidate SNPs are shown in <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>. The observed genotype frequency distributions did not deviate from those expected according to the Hardy-Weinberg equilibrium except for <italic>TLR9</italic> (rs5743836) and <italic>IFNL3</italic> (rs12979860).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Demographic and clinical characteristics of the study cohort (n &#x3d; 221).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left"/>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age of recipient, years [mean &#xb1; SD]</td>
<td align="left">53.9 &#xb1; 15.7</td>
</tr>
<tr>
<td align="left">Male gender of recipient [n (%)]</td>
<td align="left">160 (72.4)</td>
</tr>
<tr>
<td align="left">Current or prior smoking history [n (%)]</td>
<td align="left">90 (40.7)</td>
</tr>
<tr>
<td align="left">Pre-transplant chronic co-morbidities [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Hypertension</td>
<td align="left">188 (85.1)</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes mellitus</td>
<td align="left">70 (31.7)</td>
</tr>
<tr>
<td align="left">&#x2003;Chronic lung disease</td>
<td align="left">29 (13.1)</td>
</tr>
<tr>
<td align="left">&#x2003;Coronary heart disease</td>
<td align="left">22 (10.0)</td>
</tr>
<tr>
<td align="left">&#x2003;Other chronic heart disease</td>
<td align="left">39 (17.6)</td>
</tr>
<tr>
<td align="left">&#x2003;Peripheral arterial disease</td>
<td align="left">21 (9.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Cerebrovascular disease</td>
<td align="left">18 (8.1)</td>
</tr>
<tr>
<td align="left">Type of transplant [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Single kidney</td>
<td align="left">206 (93.2)</td>
</tr>
<tr>
<td align="left">&#x2003;Double kidney</td>
<td align="left">15 (6.8)</td>
</tr>
<tr>
<td align="left">Previous solid organ transplantation [n (%)]</td>
<td align="left">29 (13.1)</td>
</tr>
<tr>
<td align="left">Underlying end-stage renal disease [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Diabetic nephropathy</td>
<td align="left">45 (20.4)</td>
</tr>
<tr>
<td align="left">&#x2003;Polycystic kidney disease</td>
<td align="left">26 (11.8)</td>
</tr>
<tr>
<td align="left">&#x2003;Glomerulonephritis</td>
<td align="left">50 (22.6)</td>
</tr>
<tr>
<td align="left">&#x2003;IgA nephropathy</td>
<td align="left">25 (11.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Nephroangiosclerosis</td>
<td align="left">20 (9.0)</td>
</tr>
<tr>
<td align="left">&#x2003;Chronic interstitial nephropathy</td>
<td align="left">12 (5.4)</td>
</tr>
<tr>
<td align="left">&#x2003;Congenital nephropathy</td>
<td align="left">10 (4.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Reflux nephropathy</td>
<td align="left">6 (2.7)</td>
</tr>
<tr>
<td align="left">&#x2003;Lupus nephropathy</td>
<td align="left">4 (1.8)</td>
</tr>
<tr>
<td align="left">&#x2003;Vasculitis</td>
<td align="left">5 (2.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Amiloidosis</td>
<td align="left">3 (1.4)</td>
</tr>
<tr>
<td align="left">&#x2003;Unknown</td>
<td align="left">25 (11.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Other</td>
<td align="left">30 (13.6)</td>
</tr>
<tr>
<td align="left">CMV serostatus [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;D&#x2b;/R&#x2b;</td>
<td align="left">157 (71.0)</td>
</tr>
<tr>
<td align="left">&#x2003;D&#x2b;/R-</td>
<td align="left">28 (12.7)</td>
</tr>
<tr>
<td align="left">&#x2003;D-/R&#x2b;</td>
<td align="left">24 (10.9)</td>
</tr>
<tr>
<td align="left">&#x2003;D-/R-</td>
<td align="left">8 (3.6)</td>
</tr>
<tr>
<td align="left">&#x2003;D unknown/R&#x2b;</td>
<td align="left">4 (1.8)</td>
</tr>
<tr>
<td align="left">Positive HCV serostatus [n (%)]</td>
<td align="left">17 (7.7)</td>
</tr>
<tr>
<td align="left">Positive HIV serostatus [n (%)]</td>
<td align="left">2 (0.9)</td>
</tr>
<tr>
<td align="left">Pre-transplant renal replacement therapy [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Hemodialysis</td>
<td align="left">159 (71.9)</td>
</tr>
<tr>
<td align="left">&#x2003;Continuous ambulatory peritoneal dialysis</td>
<td align="left">35 (15.8)</td>
</tr>
<tr>
<td align="left">Time on dialysis, months [median (IQR)]</td>
<td align="left">17.6 (9.3 &#x2013; 35.3)</td>
</tr>
<tr>
<td align="left">Age of donor, years [mean &#xb1; SD]</td>
<td align="left">52.5 &#xb1; 16.1</td>
</tr>
<tr>
<td align="left">Male gender of donor [n (%)]</td>
<td align="left">117 (52.9)</td>
</tr>
<tr>
<td align="left">Type of donor [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;DBD donor</td>
<td align="left">144 (65.2)</td>
</tr>
<tr>
<td align="left">&#x2003;DCD donor</td>
<td align="left">47 (21.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Living donor</td>
<td align="left">29 (13.1)</td>
</tr>
<tr>
<td align="left">Cold ischemia time, hours [median (IQR)]</td>
<td align="left">17.0 (9.0 &#x2013; 22.0)</td>
</tr>
<tr>
<td align="left">Number of HLA mismatches [median (IQR)]</td>
<td align="left">4 (3&#x2013;5)</td>
</tr>
<tr>
<td align="left">Induction therapy [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;ATG</td>
<td align="left">106 (48.0)</td>
</tr>
<tr>
<td align="left">&#x2003;Basiliximab</td>
<td align="left">85 (38.5)</td>
</tr>
<tr>
<td align="left">&#x2003;None</td>
<td align="left">30 (13.6)</td>
</tr>
<tr>
<td align="left">Immunosuppression regimen at discharge [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Prednisone, tacrolimus and MMF/MPS</td>
<td align="left">219 (99.1)</td>
</tr>
<tr>
<td align="left">&#x2003;Prednisone, tacrolimus and azathioprine</td>
<td align="left">16 (7.2)</td>
</tr>
<tr>
<td align="left">Conversion to mTOR during follow-up [n (%)]</td>
<td align="left">22 (10.0)</td>
</tr>
<tr>
<td align="left">&#x2003;Time to conversion, days [median (IQR)]</td>
<td align="left">217 (117 &#x2013; 306.8)</td>
</tr>
<tr>
<td align="left">Anti-CMV prophylaxis [n (%)]</td>
<td align="left">125 (56.6)</td>
</tr>
<tr>
<td align="left">&#x2003;Duration of prophylaxis, days [median (IQR)]</td>
<td align="left">103.5 (91 &#x2013; 148.5)</td>
</tr>
<tr>
<td align="left">Follow-up period, days [median (IQR)]</td>
<td align="left">494 (434 &#x2013; 542)</td>
</tr>
<tr>
<td align="left">Post-transplant complications [n (%)]</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Delayed graft function</td>
<td align="left">102 (46.2)</td>
</tr>
<tr>
<td align="left">&#x2003;Number of dialysis sessions [median (IQR)]</td>
<td align="left">2 (1&#x2013;3)</td>
</tr>
<tr>
<td align="left">&#x2003;Reintervention within the first month</td>
<td align="left">24 (10.9)</td>
</tr>
<tr>
<td align="left">&#x2003;New-onset diabetes</td>
<td align="left">22 (10.0)</td>
</tr>
<tr>
<td align="left">&#x2003;Renal artery stenosis</td>
<td align="left">40 (19.6)</td>
</tr>
<tr>
<td align="left">&#x2003;Acute graft rejection<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</td>
<td align="left">25 (11.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Time to the first episode, days [median (IQR]</td>
<td align="left">111 (19 &#x2013; 159)</td>
</tr>
<tr>
<td align="left">&#x2003;T-cell-mediated acute rejection</td>
<td align="left">13 (5.9)</td>
</tr>
<tr>
<td align="left">&#x2003;Antibody-mediated acute rejection</td>
<td align="left">6 (2.7)</td>
</tr>
<tr>
<td align="left">Graft loss [n (%)]</td>
<td align="left">5 (2.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Time from transplantation, days [median (IQR)]</td>
<td align="left">41 (18 &#x2013; 260.5)</td>
</tr>
<tr>
<td align="left">All-cause mortality [n (%)]</td>
<td align="left">2 (0.9)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn3">
<label>
<sup>a</sup>
</label>
<p>Includes 16 patients with borderline acute rejection and 14 with empirically-treated episodes without histological confirmation.</p>
</fn>
<fn>
<p>ATG, antithymocyte globulin; CMV, cytomegalovirus; D, donor; DBD, donation after brain death; DCD, donation after circulatory death; HCV, hepatitis C virus; HIV, human immunodeficiency virus; HLA, human leukocyte antigen; IQR, interquartile range; MMF/MPS, mycophenolate mofetil/enteric-coated mycophenolate sodium; R, recipient; SD, standard deviation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>First, the effect of studied polymorphisms on plasma TTV DNAemia at discrete time points was investigated. In particular, we explored the impact of the minor alleles in each SNP in both dominant (heterozygous and homozygous) and recessive (homozygous only) models. Across the 14 SNPs considered, we did not find significant differences in TTV DNA levels at any of the monitoring points (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Plasma TTV DNA levels at different post-transplant time points according to candidate SNPs.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">SNP (ID number)</th>
<th rowspan="2" align="left">Model</th>
<th rowspan="2" align="left"/>
<th colspan="12" align="left">Plasma TTV DNA level, log<sub>10</sub> copies/mL (mean &#xb1; SD)</th>
</tr>
<tr>
<th align="left">Baseline</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Day 15</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Month 1</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Month 3</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Month 6</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">Month 12</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">
<italic>CTLA4</italic> (rs5742909)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">CC</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.284</td>
<td align="left">3.2 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.389</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.521</td>
<td align="left">5.9 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.495</td>
<td align="left">5.3 &#xb1; 2.4</td>
<td rowspan="2" align="left">0.255</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.496</td>
</tr>
<tr>
<td align="left">CT/TT</td>
<td align="left">2.6 &#xb1; 1.5</td>
<td align="left">2.9 &#xb1; 1.9</td>
<td align="left">4.2 &#xb1; 1.6</td>
<td align="left">5.7 &#xb1; 1.5</td>
<td align="left">5.0 &#xb1; 1.9</td>
<td align="left">4.8 &#xb1; 1.8</td>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">CC/CT</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.463</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.821</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.441</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.620</td>
<td align="left">5.3 &#xb1; 2.3</td>
<td rowspan="2" align="left">0.702</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.237</td>
</tr>
<tr>
<td align="left">TT</td>
<td align="left">3.5 &#xb1; 1.0</td>
<td align="left">3.3 &#xb1; 1.0</td>
<td align="left">5.0 &#xb1; 1.2</td>
<td align="left">6.3 &#xb1; 1.8</td>
<td align="left">5.8 &#xb1; 1.8</td>
<td align="left">5.6 &#xb1; 1.7</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>CTLA4</italic> (rs231775)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">AA</td>
<td align="left">2.8 &#xb1; 1.4</td>
<td rowspan="2" align="left">0.705</td>
<td align="left">3.1 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.972</td>
<td align="left">4.5 &#xb1; 1.5</td>
<td rowspan="2" align="left">0.364</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.961</td>
<td align="left">5.0 &#xb1; 2.3</td>
<td rowspan="2" align="left">0.013</td>
<td align="left">4.5 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.502</td>
</tr>
<tr>
<td align="left">AG/GG</td>
<td align="left">2.9 &#xb1; 1.8</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td align="left">4.3 &#xb1; 1.9</td>
<td align="left">5.9 &#xb1; 1.8</td>
<td align="left">5.6 &#xb1; 2.3</td>
<td align="left">4.7 &#xb1; 1.9</td>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">AA/AG</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.601</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.689</td>
<td align="left">4.5 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.233</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.527</td>
<td align="left">5.2 &#xb1; 2.3</td>
<td rowspan="2" align="left">0.126</td>
<td align="left">4.6 &#xb1; 4.6</td>
<td rowspan="2" align="left">0.345</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td align="left">3.3 &#xb1; 1.2</td>
<td align="left">4.0 &#xb1; 1.9</td>
<td align="left">6.1 &#xb1; 2.0</td>
<td align="left">5.8 &#xb1; 2.7</td>
<td align="left">5.0 &#xb1; 1.3</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TLR3</italic> (rs3775291)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">CC</td>
<td align="left">2.9 &#xb1; 1.3</td>
<td rowspan="2" align="left">0.703</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.730</td>
<td align="left">4.2 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.147</td>
<td align="left">6.1 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.158</td>
<td align="left">5.5 &#xb1; 2.4</td>
<td rowspan="2" align="left">0.506</td>
<td align="left">4.8 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.254</td>
</tr>
<tr>
<td align="left">CT/TT</td>
<td align="left">2.8 &#xb1; 1.9</td>
<td align="left">3.2 &#xb1; 1.6</td>
<td align="left">4.6 &#xb1; 1.8</td>
<td align="left">5.7 &#xb1; 1.6</td>
<td align="left">5.1 &#xb1; 2.2</td>
<td align="left">4.5 &#xb1; 1.9</td>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">CC/CT</td>
<td align="left">2.8 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.500</td>
<td align="left">3.1 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.917</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.923</td>
<td align="left">5.9 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.908</td>
<td align="left">5.3 &#xb1; 2.3</td>
<td rowspan="2" align="left">0.406</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.939</td>
</tr>
<tr>
<td align="left">TT</td>
<td align="left">3.1 &#xb1; 2.0</td>
<td align="left">3.1 &#xb1; 2.0</td>
<td align="left">4.4 &#xb1; 2.0</td>
<td align="left">5.8 &#xb1; 1.4</td>
<td align="left">4.9 &#xb1; 2.2</td>
<td align="left">4.6 &#xb1; 1.7</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TLR9</italic> (rs5743836)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">AA</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.337</td>
<td align="left">3.2 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.692</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.829</td>
<td align="left">5.8 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.566</td>
<td align="left">2.5 &#xb1; 2.5</td>
<td rowspan="2" align="left">0.847</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.960</td>
</tr>
<tr>
<td align="left">AG/GG</td>
<td align="left">2.7 &#xb1; 1.8</td>
<td align="left">3.1 &#xb1; 1.8</td>
<td align="left">4.4 &#xb1; 1.6</td>
<td align="left">6.0 &#xb1; 1.7</td>
<td align="left">5.4 &#xb1; 1.9</td>
<td align="left">4.6 &#xb1; 2.0</td>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">AA/AG</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.733</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.932</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.640</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.116</td>
<td align="left">5.3 &#xb1; 2.4</td>
<td rowspan="2" align="left">0.650</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.775</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">2.7 &#xb1; 1.0</td>
<td align="left">3.2 &#xb1; 1.5</td>
<td align="left">4.2 &#xb1; 1.4</td>
<td align="left">5.0 &#xb1; 1.4</td>
<td align="left">5.1 &#xb1; 1.8</td>
<td align="left">4.8 &#xb1; 2.1</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TLR9</italic> (rs352139)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">3.0 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.388</td>
<td align="left">3.1 &#xb1; 2.0</td>
<td rowspan="2" align="left">0.935</td>
<td align="left">4.3 &#xb1; 2.1</td>
<td rowspan="2" align="left">0.488</td>
<td align="left">6.2 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.132</td>
<td align="left">5.1 &#xb1; 2.4</td>
<td rowspan="2" align="left">0.764</td>
<td align="left">4.4 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.350</td>
</tr>
<tr>
<td align="left">TC/CC</td>
<td align="left">2.8 &#xb1; 1.6</td>
<td align="left">3.1 &#xb1; 1.5</td>
<td align="left">4.5 &#xb1; 1.5</td>
<td align="left">5.8 &#xb1; 1.7</td>
<td align="left">5.4 &#xb1; 2.3</td>
<td align="left">4.7 &#xb1; 1.9</td>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TC</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.508</td>
<td align="left">3.1 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.521</td>
<td align="left">4.3 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.184</td>
<td align="left">6.0 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.111</td>
<td align="left">5.3 &#xb1; 2.5</td>
<td rowspan="2" align="left">0.703</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.813</td>
</tr>
<tr>
<td align="left">CC</td>
<td align="left">2.7 &#xb1; 1.7</td>
<td align="left">3.3 &#xb1; 1.7</td>
<td align="left">4.7 &#xb1; 1.5</td>
<td align="left">5.6 &#xb1; 1.6</td>
<td align="left">5.3 &#xb1; 1.7</td>
<td align="left">4.6 &#xb1; 2.0</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>CD209</italic> (rs735240)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">2.8 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.560</td>
<td align="left">3.0 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.532</td>
<td align="left">4.6 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.376</td>
<td align="left">5.9 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.883</td>
<td align="left">5.2 &#xb1; 2.6</td>
<td rowspan="2" align="left">0.994</td>
<td align="left">4.6 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.937</td>
</tr>
<tr>
<td align="left">GA/AA</td>
<td align="left">2.9 &#xb1; 1.5</td>
<td align="left">3.2 &#xb1; 1.5</td>
<td align="left">4.3 &#xb1; 1.7</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">5.3 &#xb1; 2.2</td>
<td align="left">4.6 &#xb1; 2.0</td>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GA</td>
<td align="left">2.8 &#xb1; 1.6</td>
<td rowspan="2" align="left">0.163</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.808</td>
<td align="left">4.4 &#xb1; 1.8</td>
<td rowspan="2" align="left">0.486</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td rowspan="2" align="left">0.907</td>
<td align="left">5.3 &#xb1; 2.4</td>
<td rowspan="2" align="left">0.424</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td rowspan="2" align="left">0.571</td>
</tr>
<tr>
<td align="left">AA</td>
<td align="left">3.2 &#xb1; 1.7</td>
<td align="left">3.2 &#xb1; 1.4</td>
<td align="left">4.6 &#xb1; 1.4</td>
<td align="left">5.9 &#xb1; 1.8</td>
<td align="left">5.2 &#xb1; 2.1</td>
<td align="left">4.7 &#xb1; 1.8</td>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>CD209</italic> (rs4804803)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">AA</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td align="left">0.760</td>
<td align="left">3.1 &#xb1; 1.5</td>
<td align="left">0.726</td>
<td align="left">4.4 &#xb1; 1.6</td>
<td align="left">0.724</td>
<td align="left">5.9 &#xb1; 1.6</td>
<td align="left">0.927</td>
<td align="left">5.1 &#xb1; 2.2</td>
<td align="left">0.043</td>
<td align="left">4.6 &#xb1; 1.7</td>
<td align="left">0.897</td>
</tr>
<tr>
<td align="left">AG/GG</td>
<td align="left">2.8 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">3.2 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">4.4 &#xb1; 1.9</td>
<td align="left"/>
<td align="left">5.9 &#xb1; 1.9</td>
<td align="left"/>
<td align="left">5.6 &#xb1; 2.5</td>
<td align="left"/>
<td align="left">4.6 &#xb1; 2.1</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">AA/AG</td>
<td align="left">2.9 &#xb1; 1.5</td>
<td align="left">0.294</td>
<td align="left">3.2 &#xb1; 1.6</td>
<td align="left">0.373</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td align="left">0.924</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">0.658</td>
<td align="left">5.3 &#xb1; 2.3</td>
<td align="left">0.801</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td align="left">0.578</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">1.6 &#xb1; 3.2</td>
<td align="left"/>
<td align="left">2.5 &#xb1; 2.5</td>
<td align="left"/>
<td align="left">4.5 &#xb1; 2.6</td>
<td align="left"/>
<td align="left">6.1 &#xb1; 2.0</td>
<td align="left"/>
<td align="left">5.2 &#xb1; 2.8</td>
<td align="left"/>
<td align="left">4.3 &#xb1; 2.4</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IFNL3</italic> (rs12979860)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">CC</td>
<td align="left">3.0 &#xb1; 1.7</td>
<td align="left">0.279</td>
<td align="left">3.3 &#xb1; 1.6</td>
<td align="left">0.330</td>
<td align="left">4.6 &#xb1; 1.6</td>
<td align="left">0.090</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">0.712</td>
<td align="left">5.5 &#xb1; 2.3</td>
<td align="left">0.080</td>
<td align="left">4.7 &#xb1; 2.1</td>
<td align="left">0.392</td>
</tr>
<tr>
<td align="left">CT/TT</td>
<td align="left">2.7 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">3.0 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">4.2 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.8 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.1 &#xb1; 2.3</td>
<td align="left"/>
<td align="left">4.5 &#xb1; 1.7</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">CC/CT</td>
<td align="left">2.8 &#xb1; 1.7</td>
<td align="left">0.296</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td align="left">0.733</td>
<td align="left">4.5 &#xb1; 1.7</td>
<td align="left">0.267</td>
<td align="left">5.6 &#xb1; 1.7</td>
<td align="left">0.644</td>
<td align="left">5.3 &#xb1; 2.4</td>
<td align="left">0.408</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td align="left">0.644</td>
</tr>
<tr>
<td align="left">TT</td>
<td align="left">3.2 &#xb1; 1.3</td>
<td align="left"/>
<td align="left">3.2 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">4.1 &#xb1; 1.9</td>
<td align="left"/>
<td align="left">6.0 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.2 &#xb1; 2.2</td>
<td align="left"/>
<td align="left">4.8 &#xb1; 1.9</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IFNL3</italic> (rs8099917)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">2.9 &#xb1; 1.5</td>
<td align="left">0.496</td>
<td align="left">3.2 &#xb1; 1.6</td>
<td align="left">0.827</td>
<td align="left">4.4 &#xb1; 1.8</td>
<td align="left">0.564</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">0.471</td>
<td align="left">5.4 &#xb1; 2.5</td>
<td align="left">0.180</td>
<td align="left">4.6 &#xb1; 2.0</td>
<td align="left">0.901</td>
</tr>
<tr>
<td align="left">TG/GG</td>
<td align="left">2.7 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">3.1 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">4.3 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">5.7 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">5.1 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">4.6 &#xb1; 1.5</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TG</td>
<td align="left">2.8 &#xb1; 1.6</td>
<td align="left">0.398</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td align="left">0.583</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td align="left">0.913</td>
<td align="left">5.8 &#xb1; 1.7</td>
<td align="left">0.227</td>
<td align="left">5.3 &#xb1; 2.3</td>
<td align="left">0.610</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td align="left">0.682</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">3.3 &#xb1; 1.5</td>
<td align="left"/>
<td align="left">3.4 &#xb1; 1.1</td>
<td align="left"/>
<td align="left">4.3 &#xb1; 1.1</td>
<td align="left"/>
<td align="left">6.6 &#xb1; 1.2</td>
<td align="left"/>
<td align="left">5.6 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">4.9 &#xb1; 1.6</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TNF</italic> (rs1800629)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">2.9 &#xb1; 1.5</td>
<td align="left">0.296</td>
<td align="left">3.2 &#xb1; 1.6</td>
<td align="left">0.131</td>
<td align="left">4.5 &#xb1; 1.7</td>
<td align="left">0.096</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">0.313</td>
<td align="left">5.4 &#xb1; 2.3</td>
<td align="left">0.294</td>
<td align="left">4.8 &#xb1; 1.7</td>
<td align="left">0.077</td>
</tr>
<tr>
<td align="left">GA/AA</td>
<td align="left">2.7 &#xb1; 1.9</td>
<td align="left"/>
<td align="left">2.8 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">4.0 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">5.6 &#xb1; 2.0</td>
<td align="left"/>
<td align="left">4.9 &#xb1; 2.5</td>
<td align="left"/>
<td align="left">4.1 &#xb1; 2.5</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GA</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td align="left">0.523</td>
<td align="left">3.1 &#xb1; 1.6</td>
<td align="left">0.539</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td align="left">0.484</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">0.618</td>
<td align="left">5.3 &#xb1; 2.3</td>
<td align="left">0.898</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td align="left">0.964</td>
</tr>
<tr>
<td align="left">AA</td>
<td align="left">3.6 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">3.7 &#xb1; 1.5</td>
<td align="left"/>
<td align="left">5.1 &#xb1; 0.4</td>
<td align="left"/>
<td align="left">6.4 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.4 &#xb1; 0.8</td>
<td align="left"/>
<td align="left">4.6 &#xb1; 1.8</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL10</italic> (rs1800872)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">2.6 &#xb1; 2.1</td>
<td align="left">0.539</td>
<td align="left">2.9 &#xb1; 1.2</td>
<td align="left">0.477</td>
<td align="left">4.3 &#xb1; 1.5</td>
<td align="left">0.858</td>
<td align="left">5.8 &#xb1; 1.4</td>
<td align="left">0.807</td>
<td align="left">5.1 &#xb1; 2.3</td>
<td align="left">0.970</td>
<td align="left">4.8 &#xb1; 2.0</td>
<td align="left">0.686</td>
</tr>
<tr>
<td align="left">TG/GG</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">3.2 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">4.4 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">5.9 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.3 &#xb1; 2.3</td>
<td align="left"/>
<td align="left">4.6 &#xb1; 1.9</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TG</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td align="left">0.932</td>
<td align="left">3.1 &#xb1; 1.6</td>
<td align="left">0.665</td>
<td align="left">4.4 &#xb1; 1.6</td>
<td align="left">0.909</td>
<td align="left">5.8 &#xb1; 1.7</td>
<td align="left">0.369</td>
<td align="left">5.0 &#xb1; 2.4</td>
<td align="left">0.011</td>
<td align="left">4.6 &#xb1; 1.8</td>
<td align="left">0.901</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">2.9 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">3.2 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">4.4 &#xb1; 1.9</td>
<td align="left"/>
<td align="left">6.0 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.7 &#xb1; 2.2</td>
<td align="left"/>
<td align="left">4.6 &#xb1; 2.1</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL10</italic> (rs1878672)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">2.9 &#xb1; 1.8</td>
<td align="left">0.782</td>
<td align="left">3.1 &#xb1; 1.6</td>
<td align="left">0.756</td>
<td align="left">4.4 &#xb1; 1.6</td>
<td align="left">0.868</td>
<td align="left">5.9 &#xb1; 1.8</td>
<td align="left">0.787</td>
<td align="left">5.5 &#xb1; 2.4</td>
<td align="left">0.345</td>
<td align="left">4.8 &#xb1; 1.9</td>
<td align="left">0.270</td>
</tr>
<tr>
<td align="left">GC/CC</td>
<td align="left">2.8 &#xb1; 1.5</td>
<td align="left"/>
<td align="left">3.2 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">4.4 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">5.2 &#xb1; 2.3</td>
<td align="left"/>
<td align="left">4.5 &#xb1; 1.9</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GC</td>
<td align="left">3.0 &#xb1; 1.5</td>
<td align="left">0.068</td>
<td align="left">3.2 &#xb1; 1.5</td>
<td align="left">0.316</td>
<td align="left">4.5 &#xb1; 1.6</td>
<td align="left">0.417</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">0.969</td>
<td align="left">5.4 &#xb1; 2.2</td>
<td align="left">0.906</td>
<td align="left">4.8 &#xb1; 1.7</td>
<td align="left">0.035</td>
</tr>
<tr>
<td align="left">CC</td>
<td align="left">2.1 &#xb1; 2.1</td>
<td align="left"/>
<td align="left">2.8 &#xb1; 2.2</td>
<td align="left"/>
<td align="left">4.1 &#xb1; 2.3</td>
<td align="left"/>
<td align="left">5.9 &#xb1; 1.9</td>
<td align="left"/>
<td align="left">4.8 &#xb1; 2.8</td>
<td align="left"/>
<td align="left">3.6 &#xb1; 2.7</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL12B</italic> (rs3212227)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">2.9 &#xb1; 1.8</td>
<td align="left">0.620</td>
<td align="left">3.2 &#xb1; 1.8</td>
<td align="left">0.614</td>
<td align="left">4.4 &#xb1; 1.8</td>
<td align="left">0.872</td>
<td align="left">5.8 &#xb1; 1.8</td>
<td align="left">0.360</td>
<td align="left">5.2 &#xb1; 2.3</td>
<td align="left">0.470</td>
<td align="left">4.7 &#xb1; 2.0</td>
<td align="left">0.698</td>
</tr>
<tr>
<td align="left">TG/GG</td>
<td align="left">2.8 &#xb1; 1.4</td>
<td align="left"/>
<td align="left">3.1 &#xb1; 1.4</td>
<td align="left"/>
<td align="left">4.4 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">6.0 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">5.4 &#xb1; 2.3</td>
<td align="left"/>
<td align="left">4.6 &#xb1; 1.8</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TG</td>
<td align="left">3.1 &#xb1; 1.7</td>
<td align="left">0.932</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td align="left">0.761</td>
<td align="left">5.9 &#xb1; 1.7</td>
<td align="left">0.700</td>
<td align="left">5.3 &#xb1; 2.3</td>
<td align="left">0.870</td>
<td align="left">4.7 &#xb1; 1.9</td>
<td align="left">0.207</td>
<td align="left">2.9 &#xb1; 1.7</td>
<td align="left">0.160</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">3.1 &#xb1; 1.0</td>
<td align="left"/>
<td align="left">4.3 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">6.0 &#xb1; 2.0</td>
<td align="left"/>
<td align="left">5.4 &#xb1; 2.1</td>
<td align="left"/>
<td align="left">4.0 &#xb1; 1.3</td>
<td align="left"/>
<td align="left">2.3 &#xb1; 1.0</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL17A</italic> (rs2275913)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">2.7 &#xb1; 1.7</td>
<td align="left">0.308</td>
<td align="left">3.1 &#xb1; 1.6</td>
<td align="left">0.862</td>
<td align="left">4.5 &#xb1; 1.7</td>
<td align="left">0.303</td>
<td align="left">5.7 &#xb1; 1.7</td>
<td align="left">0.268</td>
<td align="left">5.3 &#xb1; 2.2</td>
<td align="left">0.930</td>
<td align="left">4.5 &#xb1; 1.9</td>
<td align="left">0.489</td>
</tr>
<tr>
<td align="left">GA/AA</td>
<td align="left">3.0 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">3.2 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">4.3 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">6.0 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.3 &#xb1; 2.4</td>
<td align="left"/>
<td align="left">4.7 &#xb1; 1.9</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GA</td>
<td align="left">2.9 &#xb1; 1.6</td>
<td align="left">0.446</td>
<td align="left">3.2 &#xb1; 1.6</td>
<td align="left">0.173</td>
<td align="left">4.4 &#xb1; 1.7</td>
<td align="left">0.381</td>
<td align="left">5.9 &#xb1; 1.8</td>
<td align="left">0.898</td>
<td align="left">5.3 &#xb1; 2.3</td>
<td align="left">0.714</td>
<td align="left">4.6 &#xb1; 1.9</td>
<td align="left">0.401</td>
</tr>
<tr>
<td align="left">AA</td>
<td align="left">2.6 &#xb1; 1.7</td>
<td align="left"/>
<td align="left">2.7 &#xb1; 1.9</td>
<td align="left"/>
<td align="left">4.1 &#xb1; 1.8</td>
<td align="left"/>
<td align="left">5.9 &#xb1; 1.6</td>
<td align="left"/>
<td align="left">5.1 &#xb1; 2.3</td>
<td align="left"/>
<td align="left">4.9 &#xb1; 2.1</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CTLA-4, cytotoxic T-lymphocyte antigen 4; IL, interleukin; SD, standard deviation; SNP, single-nucleotide polymorphism; TLR, toll-like receptor; TNF, tumor necrosis factor; TTV, torque teno virus.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Next, we analyzed if there was any association between candidate SNPs and the presence of undectectable plasma TTV DNAemia at baseline (before the initiation of immunosuppressive therapy). Seven (3.7%) patients had pre-transplant TTV DNA levels below the LLoD. We observed that carriers of the minor C allele of the <italic>IL10</italic> (rs1878672) SNP in the homozygous state (CC) were more likely to have undetectable baseline TTV DNAemia compared to recipients bearing the reference G allele (GG/GC) [12.5% (3/24) versus 2.5% (4/163), respectively; nominal <italic>p</italic>-value &#x3d; 0.046]. There were also significant differences within the <italic>TLR3</italic> (rs3775291) SNP, since all the 7 patients with undetectable TTV DNAemia harbored the minor T allele either in the heterozygous or the homozygous state [7.1% (7/99) versus 0.0% (0/88) for CT/TT and CC carriers; nominal <italic>p</italic>-value &#x3d; 0.015]. Finally, the minor allele of <italic>CD209</italic> (rs4804803) in the homozygous state was also associated with undetectable TTV DNAemia before transplantation [37.5% (5/8) versus 2.2% (4/179) for GG and AA/AG carriers; nominal <italic>p</italic>-value &#x3d; 0.0017]. Nevertheless, it should be noted that only the latter association was below the Bonferroni-corrected <italic>p</italic>-value threshold for statistical significance (which was settled at 0.00178) (<xref ref-type="table" rid="T4">Table 4</xref>). We further assessed whether the impact of the <italic>CD209</italic> (rs4804803) SNP remained significant after adjusting for recipient demographics and pre-transplant clinical characteristics also associated with undetectable TTV DNAemia at baseline (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>). In a logistic regression model that included recipient age and previous renal replacement therapy as covariates, the presence of the minor G allele of <italic>CD209</italic> (rs4804803) in the homozygous state was still significantly associated with pre-transplant TTV DNA levels below the LLoD (adjusted OR: 36.96; 95% CI: 4.72&#x2013;289.67; <italic>p</italic>-value &#x3d; 0.001).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Association between undetectable TTV DNAemia at the baseline (pre-transplant) assessment and candidate SNPs in dominant (heterozygous and homozygous) and recessive (homozygous only) models.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">SNP (ID number)</th>
<th rowspan="2" align="left">Model</th>
<th rowspan="2" align="left">Genotype</th>
<th colspan="2" align="left">Undetectable TTV DNAemia at baseline [n (%)]</th>
<th rowspan="2" align="left">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="left">No (n &#x3d; 180)</th>
<th align="left">Yes (n &#x3d; 7)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">
<italic>CTLA4</italic> (rs5742909)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">CC</td>
<td align="left">149 (82.8)</td>
<td align="left">6 (85.7)</td>
<td align="left">0.840</td>
</tr>
<tr>
<td align="left">CT/TT</td>
<td align="left">31 (17.2)</td>
<td align="left">1 (14.3)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">CC/CT</td>
<td align="left">176 (97.8)</td>
<td align="left">7 (100.0)</td>
<td align="left">0.690</td>
</tr>
<tr>
<td align="left">TT</td>
<td align="left">4 (2.2)</td>
<td align="left">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>CTLA4</italic> (rs231775)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">AA</td>
<td align="left">95 (52.8)</td>
<td align="left">3 (42.9)</td>
<td align="left">0.606</td>
</tr>
<tr>
<td align="left">AG/GG</td>
<td align="left">85 (47.2)</td>
<td align="left">4 (57.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">AA/AG</td>
<td align="left">163 (90.6)</td>
<td align="left">7 (100.0)</td>
<td align="left">0.394</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">17 (9.4)</td>
<td align="left">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TLR3</italic> (rs3775291)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">CC</td>
<td align="left">88 (48.9)</td>
<td align="left">0 (0.0)</td>
<td align="left">0.015</td>
</tr>
<tr>
<td align="left">CT/TT</td>
<td align="left">92 (51.1)</td>
<td align="left">7 (100.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">CC/CT</td>
<td align="left">145 (80.6)</td>
<td align="left">5 (71.4)</td>
<td align="left">0.304</td>
</tr>
<tr>
<td align="left">TT</td>
<td align="left">26 (19.4)</td>
<td align="left">2 (28.6)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TLR9</italic> (rs5743836)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">AA</td>
<td align="left">130 (72.2)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.385</td>
</tr>
<tr>
<td align="left">AG/GG</td>
<td align="left">50 (27.8)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">AA/AG</td>
<td align="left">171 (95)</td>
<td align="left">7 (100.0)</td>
<td align="left">0.544</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">9 (5)</td>
<td align="left">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TLR9</italic> (rs352139)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">47 (26.1)</td>
<td align="left">3 (42.9)</td>
<td align="left">0.326</td>
</tr>
<tr>
<td align="left">TC/CC</td>
<td align="left">133 (73.9)</td>
<td align="left">4 (57.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TC</td>
<td align="left">129 (71.7)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.405</td>
</tr>
<tr>
<td align="left">CC</td>
<td align="left">51 (28.3)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>CD209</italic> (rs735240)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">48 (26.7)</td>
<td align="left">3 (42.9)</td>
<td align="left">0.345</td>
</tr>
<tr>
<td align="left">GA/AA</td>
<td align="left">132 (73.3)</td>
<td align="left">4 (57.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GA</td>
<td align="left">134 (74.4)</td>
<td align="left">6 (4.3)</td>
<td align="left">0.500</td>
</tr>
<tr>
<td align="left">AA</td>
<td align="left">46 (25.6)</td>
<td align="left">1 (2.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>CD209</italic> (rs4804803)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">AA</td>
<td align="left">105 (58.3)</td>
<td align="left">3 (42.9)</td>
<td align="left">0.416</td>
</tr>
<tr>
<td align="left">AG/GG</td>
<td align="left">75 (41.7)</td>
<td align="left">4 (57.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">AA/AG</td>
<td align="left">175 (97.2)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.0017</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">5 (2.8)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IFNL3</italic> (rs12979860)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">CC</td>
<td align="left">83 (46.1)</td>
<td align="left">3 (42.9)</td>
<td align="left">0.865</td>
</tr>
<tr>
<td align="left">CT/TT</td>
<td align="left">97 (53.9)</td>
<td align="left">4 (57.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">CC/CT</td>
<td align="left">152 (84.4)</td>
<td align="left">7 (4.4)</td>
<td align="left">0.258</td>
</tr>
<tr>
<td align="left">TT</td>
<td align="left">28 (15.6)</td>
<td align="left">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IFNL3</italic> (rs8099917)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">129 (71.7)</td>
<td align="left">3 (42.9)</td>
<td align="left">0.101</td>
</tr>
<tr>
<td align="left">TG/GG</td>
<td align="left">51 (28.3)</td>
<td align="left">4 (57.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TG</td>
<td align="left">172 (95.6)</td>
<td align="left">7 (100.0)</td>
<td align="left">0.569</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">8 (4.4)</td>
<td align="left">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>TNF</italic> (rs1800629)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">137 (76.1)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.253</td>
</tr>
<tr>
<td align="left">GA/AA</td>
<td align="left">43 (23.9)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GA</td>
<td align="left">178 (98.9)</td>
<td align="left">7 (3.8)</td>
<td align="left">0.779</td>
</tr>
<tr>
<td align="left">AA</td>
<td align="left">2 (1.1)</td>
<td align="left">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL10</italic> (rs1800872)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">16 (8.9)</td>
<td align="left">2 (28.6)</td>
<td align="left">0.083</td>
</tr>
<tr>
<td align="left">TG/GG</td>
<td align="left">164 (91.1)</td>
<td align="left">5 (71.4)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TG</td>
<td align="left">109 (60.6)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.856</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">71 (39.4)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL10</italic> (rs1878672)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">66 (36.7)</td>
<td align="left">3 (42.9)</td>
<td align="left">0.739</td>
</tr>
<tr>
<td align="left">GC/CC</td>
<td align="left">114 (63.3)</td>
<td align="left">4 (57.1)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GC</td>
<td align="left">159 (88.3)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.046</td>
</tr>
<tr>
<td align="left">CC</td>
<td align="left">21 (11.7)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL12B</italic> (rs3212227)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">TT</td>
<td align="left">89 (49.4)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.689</td>
</tr>
<tr>
<td align="left">TG/GG</td>
<td align="left">91 (5406)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">TT/TG</td>
<td align="left">165 (91.7)</td>
<td align="left">7 (100.0)</td>
<td align="left">0.426</td>
</tr>
<tr>
<td align="left">GG</td>
<td align="left">15 (8.3)</td>
<td align="left">0 (0.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">
<italic>IL17A</italic> (rs2275913)</td>
<td rowspan="2" align="left">Dominant</td>
<td align="left">GG</td>
<td align="left">76 (42.2)</td>
<td align="left">4 (57.1)</td>
<td align="left">0.434</td>
</tr>
<tr>
<td align="left">GA/AA</td>
<td align="left">104 (57.8)</td>
<td align="left">3 (42.9)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Recessive</td>
<td align="left">GG/GA</td>
<td align="left">157 (87.2)</td>
<td align="left">5 (71.4)</td>
<td align="left">0.228</td>
</tr>
<tr>
<td align="left">AA</td>
<td align="left">23 (12.8)</td>
<td align="left">2 (28.6)</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CTLA-4, cytotoxic T-lymphocyte antigen 4; IL, interleukin; SNP, single-nucleotide polymorphism; TLR, toll-like receptor; TNF, tumor necrosis factor; TTV, torque teno virus.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In order to better characterize the genetic determinants of post-transplant TTV viral kinetics, we compared peak TTV DNA levels through different time intervals according to candidate SNPs. The only apparent correlation was observed for <italic>TNF</italic> (rs1800629), with carriers of the minor allele either in the heterozygous or homozygous state showing lower peak levels during the first 3 post-transplant months (4.2 &#xb1; 1.5 versus 5.0 &#xb1; 1.8 log<sub>10</sub> copies/mL for GA/AA and GG carriers; nominal <italic>p</italic>-value &#x3d; 0.008) (<xref ref-type="sec" rid="s11">Supplementary Table S3</xref>). This comparison, however, did not attain the Bonferroni-corrected significance level (settled at 0.00059). Accordingly, recipients bearing the minor A allele of this SNP also showed a non-significant trend&#x2014;by applying the Bonferroni correction&#x2014;towards a lower AUC for plasma TTV DNAemia through month 6 (5.8 &#xb1; 1.7 versus 6.8 &#xb1; 1.7 log<sub>10</sub> copies/mL for GA/AA and GG carriers; nominal <italic>p</italic>-value &#x3d; 0.007) (<xref ref-type="sec" rid="s11">Supplementary Table S4</xref>). Finally, no significant differences at the Bonferroni-adjusted &#x3b1; level were found in increments (&#x394;) in TTV DNA levels from baseline to day 15 and months 1, 3, 6 and 12 after transplantation either (<xref ref-type="sec" rid="s11">Supplementary Table S5</xref>).</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>There is increasing evidence on the usefulness of TTV as a surrogate marker of the immune status in a variety of clinical scenarios (<xref ref-type="bibr" rid="B33">Martin-Lopez et al., 2020</xref>; <xref ref-type="bibr" rid="B24">Honorato et al., 2021</xref>; <xref ref-type="bibr" rid="B49">Studenic et al., 2021</xref>), in particular SOT (<xref ref-type="bibr" rid="B15">Fernandez-Ruiz et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Redondo et al., 2022a</xref>; <xref ref-type="bibr" rid="B13">Eldar-Yedidia et al., 2022</xref>; <xref ref-type="bibr" rid="B26">Jaksch et al., 2022</xref>), under the rationale that the T-cell-mediated immunity plays an instrumental role in controlling viral replication. Nevertheless, the relative contribution of the innate system&#x2014;and its genetic determinants&#x2014;has not been characterized so far. To our knowledge only three previous works have analyzed the impact of genetic polymorphisms on TTV replication in HSCT recipients (with two studies from the same group) and people living with human immunodeficiency virus (HIV) (<xref ref-type="bibr" rid="B39">Prasetyo et al., 2015</xref>; <xref ref-type="bibr" rid="B40">Ramzi et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Ramzi et al., 2021</xref>). <xref ref-type="bibr" rid="B40">Ramzi et al. (2019)</xref>; <xref ref-type="bibr" rid="B41">Ramzi et al. (2021)</xref> found a correlation between SNPs in <italic>IL10</italic>, <italic>CTLA4</italic> and <italic>TNF</italic> genes and TTV infection in allogeneic HSCT recipients. In detail, the heterozygote genotypes of <italic>IL10</italic> rs1800872 (&#x2212;592C/A) and <italic>CTLA4</italic> rs231775 (&#x2b;49 A/G) were associated with a higher prevalence of TTV DNAemia, whereas the A allele of <italic>TNF</italic> rs1800629 (&#x2212;308G/A) had a protective effect. On the other hand, Prasetyo et al. reported a correlation between the <italic>APOBEC3B</italic> deletion polymorphism status and TTV, HBV and HCV infection among HIV patients (<xref ref-type="bibr" rid="B39">Prasetyo et al., 2015</xref>; <xref ref-type="bibr" rid="B40">Ramzi et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Ramzi et al., 2021</xref>). The present investigation is the first to evaluate to what extent the kinetics of TTV DNA levels following KT are influenced by SNPs in genes coding for PRRs (TLR3, TLR9 and CD209), ILs and cytokines (IL-12B, IL-17, IL-10, TNF), IFN-&#x3bb;3 (IL-28B) and the costimulatory receptor CTLA-4). These candidate SNPs were chosen on the basis of prior studies performed in the HSCT population (<xref ref-type="bibr" rid="B40">Ramzi et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Ramzi et al., 2021</xref>) or due to their well-established involvement in other viral infections in SOT recipients (<xref ref-type="bibr" rid="B42">Redondo et al., 2022d</xref>).</p>
<p>We found no clear association between any of the SNP genotypes considered and various parameters reflecting viral kinetics after transplantation, such as mean and peak DNA levels or AUCs for plasma TTV DNAemia during discrete periods, or absolute increments from baseline. The significant differences observed for the minor A allele of <italic>TNF</italic> (rs1800629) in terms of lower peak DNA levels and AUC through months 3 and 6 were not consistent across the entire post-transplant monitoring period and did not survive correction for multiple comparisons. Interestingly, <xref ref-type="bibr" rid="B40">Ramzi et al. (2010)</xref> Reported that the A allele of the <italic>TNF</italic> (rs1800629) SNP was associated with undetectable TTV DNAemia in a single-center cohort of HSCT recipients (OR: 0.46; 95% CI: 0.22&#x2013;0.96; <italic>p</italic>-value &#x3d; 0.025), although the timing for monitoring was unclear and no correction for multiple testing was performed. In line with our results, the same group observed no apparent impact of genotypes of <italic>CTLA4</italic> (rs5742909) on the incidence of TTV infection after HSCT (<xref ref-type="bibr" rid="B40">Ramzi et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Ramzi et al., 2021</xref>).</p>
<p>In addition to the longitudinal post-transplant monitoring of TTV replication, we have specifically investigated the associations between candidate SNPs and the presence of TTV infection at the baseline assessment, before immunosuppressive therapy was initiated. The cross-sectional comparison at this time point would reveal the potential role of genetic predisposition to TTV among ESRD patients in the absence of iatrogenic immunosuppression. In contrast to the negative results observed for the post-transplant period, we found that the minor G allele of <italic>CD209</italic> (rs4804803) in the homozygous state exerted a protective effect even after the Bonferroni correction, and that this association with undetectable TTV DNAemia at baseline remained significant after adjusting for clinical covariates. Although caution must be exercised due to the low number of patients with pre-transplant TTV DNA levels below the LLoD, this finding is in accordance with a recent study by our group showing a protective effect against BK polyomavirus viremia linked to the G allele of <italic>CD209</italic> (rs4804803) after KT (<xref ref-type="bibr" rid="B44">Redondo et al., 2022c</xref>). In addition, the minor G allele has been also associated with a lower susceptibility to tuberculosis (<xref ref-type="bibr" rid="B53">Vannberg et al., 2008</xref>) and severe dengue (<xref ref-type="bibr" rid="B47">Sakuntabhai et al., 2005</xref>). The <italic>CD209</italic> gene codes for DC-SIGN, a transmembrane PRR belonging to the CLR family. It has been described that the presence of the G allele negatively affects gene transcription, thus downregulating the synthesis of DC-SIGN in dendritic cells (<xref ref-type="bibr" rid="B47">Sakuntabhai et al., 2005</xref>). In addition, DC-SIGN acts as the cell receptor for many viruses through its high affinity binding of mannose-containing carbohydrates expressed by viral glycoproteins (<xref ref-type="bibr" rid="B32">Lin et al., 2003</xref>). In view of the non-enveloped structure of anelloviruses, the mechanistic explanation for the association found between the <italic>CD209</italic> (rs4804803) SNP and baseline TTV DNAemia remains to be determined and demands further investigation in healthy subjects (e.g., blood donors).</p>
<p>Despite its large sample size, frequent TTV DNA monitoring and comprehensive set of SNPs screened, some limitations to our study should be acknowledged. As previously described (<xref ref-type="bibr" rid="B43">Redondo et al., 2022a</xref>; <xref ref-type="bibr" rid="B26">Jaksch et al., 2022</xref>), the vast majority of recipients had TTV replication early after transplantation. Thus, associations between genetic polymorphisms and undetectable TTV DNAemia (below the LLoD of the PCR assay) were only analyzed at baseline. Since the relatively high number of SNPs imposed stringent thresholds for statistical significance, false-negative results due to insufficient statistical power cannot be excluded, particularly for those SNPs&#x2014;such as <italic>CTLA4</italic> (rs5742909) or <italic>TNF</italic> (rs1800629)&#x2014;with very low absolute numbers of patients bearing the corresponding minor alleles.</p>
<p>In conclusion, the G allele of <italic>CD209</italic> (rs4804803) in the homozygous state would play a protective role against TTV in non-immunocompromised patients listed for KT, whereas no significant associations have been found during the post-transplant period for any of the studied SNPs. Thus, the present results support the conception that variations in plasma TTV DNA levels after KT are mainly driven by the effect of immunosuppressive therapy rather than by underlying genetic predisposition, reinforcing its clinical usefulness as a surrogate marker of immunosuppression. Post-transplant TTV replication kinetics seems to be mainly under the control of the adaptive immune responses, with no meaningful effect of SNPs in genes orchestrating innate arm.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The data that support the findings of this study are available from the corresponding author upon reasonable request. SNP genotyping data are registered in the BioProject database under the ID PRJNA898147.</p>
</sec>
<sec id="s6">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Clinical Research Ethics Committee Hospital 12 de Octubre (Study protocol number 14/030). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>NR and MF-R designed the study, performed statistical analyses and wrote the manuscript; EA, PP, and EG performed laboratory analyses; TR-M collected patient samples; IR-G, FL-M, RS, EG, NP, and AA participated in patient recruitment and performed data collection; AA, DN, and JMA critically reviewed the manuscript and provided significant input and feedback. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study has been funded by Instituto de Salud Carlos III (ISCIII), Spanish Ministry of Science and Innovation, through the projects PIE13/00045, PI15/01953, and PI19/01300&#x2014;co-funded by European Regional Development Fund/European Social Fund <italic>&#x201c;A way to make Europe&#x201d;/&#x201c;Investing in your future&#x201d;</italic>. IR-G holds a research training contract &#x201c;R&#xed;o Hortega&#x201d; (CM19/00163) and MF-R holds a research contract &#x201c;Miguel Servet&#x201d; (CP18/00073), both from the ISCIII and also co-funded by the European Union.</p>
</sec>
<ack>
<p>The authors gratefully acknowledge all patients recruited in the institutional cohort of kidney transplant recipients for their participation.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<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="s10">
<title>Publisher&#x2019;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>
<sec id="s11">
<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/fgene.2022.1069890/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgene.2022.1069890/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.PDF" id="SM1" mimetype="application/PDF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<sec id="s12">
<title>Abbreviations</title>
<p>AUC, area the under curve; BKPyV, BK polyomavirus; CI, confidence interval; CpG, cytosine-phosphate-guanine; CMV, cytomegalovirus; D, donor; dsRNA, double-stranded RNA; ESRD, end-stage renal disease; HBV, hepatitis B virus; HCV, hepatitis C virus; HIV, human immunodeficiency virus; HSCT, hematopoietic stem cell transplantation; IQR, interquartile range; KT, kidney transplantation; LLoD, lower limit of detection; OR, odds ratio; PAMP, pathogen-associated molecular pattern; PCR, polymerase chain reaction; R, recipient; PRR, pattern recognition receptor; SD, standard deviation; SNP, single-nucleotide polymorphism; SOT, solid organ transplantation; TLR, toll-like receptor; TTV, Torque teno virus.</p>
</sec>
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