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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2021.653489</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Germline Genetic Variants of Viral Entry and Innate Immunity May Influence Susceptibility to SARS-CoV-2 Infection: Toward a Polygenic Risk Score for Risk Stratification</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Grolmusz</surname> <given-names>Vince Korn&#x000E9;l</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/933281/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bozsik</surname> <given-names>Anik&#x000F3;</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1152376/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Papp</surname> <given-names>J&#x000E1;nos</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" corresp="yes">
<name><surname>Pat&#x000F3;cs</surname> <given-names>Attila</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/719998/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Molecular Genetics, National Institute of Oncology</institution>, <addr-line>Budapest</addr-line>, <country>Hungary</country></aff>
<aff id="aff2"><sup>2</sup><institution>Hereditary Tumors Research Group, E&#x000F6;tv&#x000F6;s Lor&#x000E1;nd Research Network&#x02014;Semmelweis University</institution>, <addr-line>Budapest</addr-line>, <country>Hungary</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Laboratory Medicine, Semmelweis University</institution>, <addr-line>Budapest</addr-line>, <country>Hungary</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jeane E. L. Visentainer, State University of Maring&#x000E1;, Brazil</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Paulo Rodrigues-Santos, University of Coimbra, Portugal; Ana Maria Sell, State University of Maring&#x000E1;, Brazil; Sokratis A. Apostolidis, Hospital of the University of Pennsylvania, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Attila Pat&#x000F3;cs <email>patocs.attila&#x00040;med.semmelweis-univ.hu</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Molecular Innate Immunity, a section of the journal Frontiers in Immunology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>03</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>653489</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>02</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Grolmusz, Bozsik, Papp and Pat&#x000F3;cs.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Grolmusz, Bozsik, Papp and Pat&#x000F3;cs</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>The ongoing COVID-19 pandemic caused by the novel coronavirus, SARS-CoV-2 has affected all aspects of human society with a special focus on healthcare. Although older patients with preexisting chronic illnesses are more prone to develop severe complications, younger, healthy individuals might also exhibit serious manifestations. Previous studies directed to detect genetic susceptibility factors for earlier epidemics have provided evidence of certain protective variations. Following SARS-CoV-2 exposure, viral entry into cells followed by recognition and response by the innate immunity are key determinants of COVID-19 development. In the present review our aim was to conduct a thorough review of the literature on the role of single nucleotide polymorphisms (SNPs) as key agents affecting the viral entry of SARS-CoV-2 and innate immunity. Several SNPs within the scope of our approach were found to alter susceptibility to various bacterial and viral infections. Additionally, a multitude of studies confirmed genetic associations between the analyzed genes and autoimmune diseases, underlining the versatile immune consequences of these variants. Based on confirmed associations it is highly plausible that the SNPs affecting viral entry and innate immunity might confer altered susceptibility to SARS-CoV-2 infection and its complex clinical consequences. Anticipating several COVID-19 genomic susceptibility loci based on the ongoing genome wide association studies, our review also proposes that a well-established polygenic risk score would be able to clinically leverage the acquired knowledge.</p></abstract>
<kwd-group>
<kwd>SARS-CoV-2</kwd>
<kwd>COVID-19</kwd>
<kwd>genetic susceptibility</kwd>
<kwd>genotype-phenotype association studies</kwd>
<kwd>viral entry</kwd>
<kwd>innate immunity</kwd>
<kwd>polygenic risk score</kwd>
<kwd>risk stratification</kwd>
</kwd-group>
<contract-sponsor id="cn001">Emberi Eroforr&#x000E1;sok Miniszt&#x000E9;riuma<named-content content-type="fundref-id">10.13039/501100005881</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="222"/>
<page-count count="14"/>
<word-count count="11699"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the virus responsible for the ongoing pandemic COVID-19 has yet infected more than 108 million people worldwide with a reported mortality rate between 0.5 and 10% in different countries (<xref ref-type="bibr" rid="B1">1</xref>). SARS-CoV-2 is a novel coronavirus originally detected in China. The specific mechanism by which it infects humans and effects human health is not fully understood. The clinical characteristics of COVID-19 usually incorporates fever, fatigue, dry cough, and dyspnea, while severe infections may result in bilateral pneumonia, and life-threatening acute respiratory distress syndrome (ARDS). Although severe complications usually manifest in elder patients with concurrent chronic diseases (e.g., high blood pressure, diabetes) young, healthy individuals might also suffer from critical consequences of the disease, requiring intensive care. The wide range of disease susceptibility especially in younger patients suggests that difference in genetic background of individuals might contribute to these alterations. In fact, the analysis of previous, unrelated infectious diseases provides clear evidence that specific protective genetic variations are enriched in populations where certain infections are endemic. For instance, sickle cell trait and carrying specific HLA antigens in African populations confer diminished susceptibility against malaria infection (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Another example, &#x00394;32, a 32-base pair deletion of the <italic>CCR5</italic> gene prevents cellular viral entry of human immunodeficiency virus (HIV) resulting in effective resistance against HIV infection in individuals homozygous regarding this variation (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>In the present review we aim to summarize previously published genotype-phenotype studies of genes which might play a role in the susceptibility to COVID-19. The associations between various single nucleotide polymorphisms (SNPs) and certain traits were studied using targeted and genome-wide approaches. In the case of targeted approach, hypothesis-driven selection of specific genes/SNPs were analyzed in cases and controls while during genome-wide association studies (GWASs) detection of novel genomic loci with susceptibility to various traits/diseases are possible. Our examination focuses on genetic variants of 2 key processes in the initiation of the disease: viral entry and recognition and response by the innate immune system. Also, as several international collaborations are ongoing to provide large-scale genomic susceptibility data, we propose that a well-established polygenic risk score would be able to optimally leverage the acquired knowledge.</p></sec>
<sec id="s2">
<title>Viral Entry</title>
<p>Large emphasis has been directed to decipher how SARS-CoV-2 is incorporated in human cells. Key data in this regard originate from studies focusing on SARS-CoV, responsible for the SARS epidemic of 2002&#x02013;2003, which shares 79.6% sequence identity with SARS-CoV-2 (<xref ref-type="bibr" rid="B5">5</xref>). In fact, the spike protein of SARS-CoV binds to angiotensin-converting enzyme 2 (ACE2) that serves as a receptor for the virus (<xref ref-type="bibr" rid="B6">6</xref>), and recent data confirmed that SARS-CoV-2 also binds ACE2 <italic>in vitro</italic> (<xref ref-type="bibr" rid="B7">7</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). Further analyses revealed that the spike protein of SARS-CoV-2 is cleaved by transmembrane protease serine 2 (TMPRSS2) (<xref ref-type="bibr" rid="B7">7</xref>), facilitating viral entry. Also of note, both ACE2 and TMPRSS2 are primarily expressed in bronchial transient secretory cells (<xref ref-type="bibr" rid="B10">10</xref>), elucidating the predilection of the lower airways. Additionally, proprotein convertase FURIN was shown to pre-activate the viral entry of SARS-CoV-2 (<xref ref-type="bibr" rid="B11">11</xref>), while additional factors as PIKfyve, <italic>TPCN2</italic> and cathepsin L (<italic>CTSL</italic>) are also critical in this process (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p><xref ref-type="table" rid="T1">Table 1</xref> summarizes genetic variants of the aforementioned genes with suggested genotype-phenotype findings. The main physiological function of ACE2 is catalyzing the hydrolysis of angiotensin I and angiotensin II into angiotensin (1&#x02013;9) and angiotensin (1&#x02013;7), respectively, contributing to blood pressure regulation (<xref ref-type="bibr" rid="B34">34</xref>). Therefore, numerous SNP association studies were directed to ascertain the role of <italic>ACE2</italic> genetic variants on certain cardiovascular and metabolic traits. Throughout several populations, <italic>ACE2</italic> polymorphisms have been associated with susceptibility to cardiovascular and metabolic diseases including hypertension and type 2 diabetes mellitus underlining the potential functional impact of these SNPs on <italic>ACE2</italic> expression and/or function (<xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>). A <italic>TMPRSS2</italic> SNP has been linked to <italic>TMPRSS2-ERG</italic> genetic fusion which is a frequent molecular event in prostate cancer (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). More importantly, a study examining patients of the 2009 swine flu pandemic caused by the H1N1 influenza virus found that <italic>TMPRSS2</italic> SNP rs2070788 is associated with severity of the disease (<xref ref-type="bibr" rid="B24">24</xref>). Additionally, genotype-specific <italic>TMPRSS2</italic> expression was confirmed in human lung tissues regarding rs2070788 and rs383510, the latter being tagged to the former polymorphism. Mechanistically, rs383510 was found to enhance the transcription of TMPRSS2 mRNA, and these 2 SNPs were also found to associate with susceptibility to the H7N9 influenza virus (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Genotype-phenotype associations of genes involved in viral entry of SARS-CoV-2.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Chromosome</bold></th>
<th valign="top" align="center"><bold>Gene ID</bold></th>
<th valign="top" align="center"><bold>Transcript ID</bold></th>
<th valign="top" align="center"><bold>Gene</bold></th>
<th valign="top" align="center"><bold>SNP</bold></th>
<th valign="top" align="center"><bold>MAF</bold></th>
<th valign="top" align="center"><bold>Position</bold></th>
<th valign="top" align="center"><bold>Exon(E)/intron(I)</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Observed association</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>Trait type</bold></th>
<th valign="top" align="center"><bold>Trait</bold></th>
<th valign="top" align="center"><bold>Population</bold></th>
<th valign="top" align="center"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">X</td>
<td valign="top" align="center">ENSG00000130234</td>
<td valign="top" align="center">ENST00000427411.1</td>
<td valign="top" align="center"><italic>ACE2</italic></td>
<td valign="top" align="center">rs2074192</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">15564667</td>
<td valign="top" align="center">I17&#x02013;18</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Left ventricular hypertrophy (LVH) in females</td>
<td valign="top" align="center">Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Diabetic retinopathy within female T2DM patients</td>
<td valign="top" align="center">Chinese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs4646176</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">15569381</td>
<td valign="top" align="center">I15&#x02013;16</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Essential hypertension (EH) in females</td>
<td valign="top" align="center">Northeastern Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs4646155</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">15579386</td>
<td valign="top" align="center">I9&#x02013;10</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Essential hypertension (EH) in females</td>
<td valign="top" align="center">Northeastern Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs2106809</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">15599938</td>
<td valign="top" align="center">I2&#x02013;3</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Left ventricular hypertrophy (LVH) in females</td>
<td valign="top" align="center">Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Lone atrial fibrillation</td>
<td valign="top" align="center">Chinese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B17">17</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs1514283</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">15564624</td>
<td valign="top" align="center">I17&#x02013;18</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Essential hypertension (EH) in females</td>
<td valign="top" align="center">Northeastern Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs2285666</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">15592225</td>
<td valign="top" align="center">I4&#x02013;5</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Essential hypertension (EH) in females</td>
<td valign="top" align="center">Northeastern Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Cardiovascular death in females</td>
<td valign="top" align="center">European</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs879922</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">15572684</td>
<td valign="top" align="center">I12&#x02013;13</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Essential hypertension (EH) in females</td>
<td valign="top" align="center">Northeastern Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs1978124</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">15599940</td>
<td valign="top" align="center">I2&#x02013;3</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs2048683</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">15590376</td>
<td valign="top" align="center">I5&#x02013;6</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs233575</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">15564843</td>
<td valign="top" align="center">I17&#x02013;18</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs4240157</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">15568841</td>
<td valign="top" align="center">I15&#x02013;16</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs4646156</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">15578920</td>
<td valign="top" align="center">I9&#x02013;10</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs4646188</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">15583220</td>
<td valign="top" align="center">I8&#x02013;9</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Uygur</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs6632677</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">15596749</td>
<td valign="top" align="center">I2&#x02013;3</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Structural atrial fibrillation in males</td>
<td valign="top" align="center">Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B19">19</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">I/A</td>
<td valign="top" align="center">Dilated cardiomyopathy (DCM)</td>
<td valign="top" align="center">North Indian</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B20">20</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs714205</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">15565781</td>
<td valign="top" align="center">I17&#x02013;18</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Diabetic retinopathy within female T2DM patients</td>
<td valign="top" align="center">Chinese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs4646174</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">15570148</td>
<td valign="top" align="center">I15&#x02013;16</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Blood pressure responses after potassium supplementation in males</td>
<td valign="top" align="center">Chinese Han</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B21">21</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">21</td>
<td valign="top" align="center">ENSG00000184012</td>
<td valign="top" align="center">ENST00000332149.10</td>
<td valign="top" align="center"><italic>TMPRSS2</italic></td>
<td valign="top" align="center">rs12329760</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">41480570</td>
<td valign="top" align="center">E6</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">TMPRSS2-ERG fusion in patients with prostate cancer</td>
<td valign="top" align="center">Indian</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B22">22</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">N</td>
<td valign="top" align="center">TMPRSS2-ERG fusion by translocation, multiple copies of the gene fusion</td>
<td valign="top" align="center">American</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B23">23</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs2070788</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">41470061</td>
<td valign="top" align="center">I11&#x02013;12</td>
<td valign="top" align="center">I</td>
<td valign="top" align="center">Severe H1N1 infection, H7N9 infection</td>
<td valign="top" align="center">Chinese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs383510</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">41486440</td>
<td valign="top" align="center">I5&#x02013;6</td>
<td valign="top" align="center">I</td>
<td valign="top" align="center">Severe H1N1 infection, H7N9 infection</td>
<td valign="top" align="center">Chinese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="center">ENSG00000140564</td>
<td valign="top" align="center">ENST00000268171.8</td>
<td valign="top" align="center"><italic>FURIN</italic></td>
<td valign="top" align="center">rs4702</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">90883330</td>
<td valign="top" align="center">E16</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Systolic and diastolic blood pressure</td>
<td valign="top" align="center">Finnish</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B25">25</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Schizophrenia</td>
<td valign="top" align="center">American</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B26">26</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs17514846</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">90873320</td>
<td valign="top" align="center">I1&#x02013;2</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Coronary artery disease</td>
<td valign="top" align="center">N.A. (metaanalyis)</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Metabolic syndrome</td>
<td valign="top" align="center">Japanese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B28">28</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Longevity, parents&#x00027; attained age</td>
<td valign="top" align="center">European</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B29">29</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="center">ENSG00000162341</td>
<td valign="top" align="center">ENST00000294309.8</td>
<td valign="top" align="center"><italic>TPCN2</italic></td>
<td valign="top" align="center">rs1551305</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">69087765</td>
<td valign="top" align="center">I24&#x02013;25</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">T2DM</td>
<td valign="top" align="center">Chinese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B30">30</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs35264875</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">69078931</td>
<td valign="top" align="center">E16</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Hair color (blond vs. brown)</td>
<td valign="top" align="center">European</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">rs3829241</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">69087895</td>
<td valign="top" align="center">E25</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Hair color (blond vs. brown)</td>
<td valign="top" align="center">European</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="center">ENSG00000135047</td>
<td valign="top" align="center">ENST00000343150.10</td>
<td valign="top" align="center"><italic>CTSL</italic></td>
<td valign="top" align="center">rs3118869</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">87725948</td>
<td valign="top" align="center">5&#x00027; upstream</td>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Essential hypertension (EH)</td>
<td valign="top" align="center">Uygur, Kazak and Han Chinese</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">O</td>
<td valign="top" align="center">Hypertension, systolic blood pressure, diastolic blood pressure</td>
<td valign="top" align="center">American</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Regarding locus specifications genome build GRCh38.p13 was used and for minor allele frequency (MAF) of the second most frequent allele in 1,000 Genomes Phase three combined population is demonstrated, where available. SNP, single nucleotide polymorphism; MAF, minor allele frequency; T2DM, type 2 diabetes mellitus. A, autoimmune; I, infectious; N, neoplastic; O, other</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Certain high throughput screening studies identified rs4702, a common genetic variant of proprotein convertase <italic>FURIN</italic> as susceptibility factor for schizophrenia and hypertension (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>), while other studies correlated another SNP rs17514846 with other various traits including coronary artery disease, metabolic syndrome and longevity (<xref ref-type="bibr" rid="B27">27</xref>&#x02013;<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>While we found no SNP association studies for PIKfyve, certain variants of the <italic>TPCN2</italic> gene coding for cation-selective ion channel were found to be associated with type 2 diabetes mellitus (T2DM) and hair color (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). In the case of <italic>CTSL</italic>, two studies performed on different populations confirmed that a promoter polymorphism correlates with hypertension in Asian and American populations (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>).</p></sec>
<sec id="s3">
<title>Innate Immunity</title>
<p>After SARS-CoV-2 successfully infected cells, a complex immune response initiates, in which the rapid and coordinated response of the innate immunity is pre-requisite (<xref ref-type="bibr" rid="B35">35</xref>). Following infection, the innate immune system recognizes viral antigens mainly by RIG-I-Like Receptors (RLRs) and Toll-Like Receptors (TLRs) (<xref ref-type="bibr" rid="B35">35</xref>). In the first step in RLR-dependent immune response, cytoplasmic RNA sensors RIG-I and MDA5 recognize viral RNA, after which interaction with mitochondrial antiviral signaling protein (MAVS) initiate signaling changes activating interferon regulatory factor <italic>IRF3</italic> and <italic>IRF7</italic>, resulting in type I IFN (IFN-&#x003B1; and IFN-&#x003B2;) production and antiviral response (<xref ref-type="bibr" rid="B35">35</xref>&#x02013;<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p><xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref> summarizes the SNP association studies concerning the agents implicated in viral recognition and response by the innate immune system. Several RIG-I SNPs were found to be associated with neutralizing antibody levels after measles and rubella vaccinations while other studies found RIG-I SNPs to be associated with nasopharyngeal carcinoma and EV71-induced hand, foot, and mouth disease (<xref ref-type="bibr" rid="B39">39</xref>&#x02013;<xref ref-type="bibr" rid="B43">43</xref>). <italic>MDA5</italic> genetic variants were thoroughly investigated in relation to autoimmunity with several associations being found with psoriasis, systemic lupus erythematosus (SLE), type 1 diabetes mellitus (T1DM), hypothyroidism and multiple sclerosis (MS) (<xref ref-type="bibr" rid="B44">44</xref>&#x02013;<xref ref-type="bibr" rid="B53">53</xref>). Polymorphisms in <italic>MAVS</italic> were analyzed regarding inflammatory response finding that rs7269320 associated with osteoarthritis (<xref ref-type="bibr" rid="B54">54</xref>). Moreover, in an African American cohort, where rs11905552 of the <italic>MAVS</italic> gene was much more frequent compared to European Americans, this SNP associated with low type I IFN production in patients with SLE (<xref ref-type="bibr" rid="B55">55</xref>). Studies focusing on genetic variants of <italic>IRF3</italic> and <italic>IRF7</italic> found associations with SLE and systemic sclerosis (<xref ref-type="bibr" rid="B56">56</xref>&#x02013;<xref ref-type="bibr" rid="B59">59</xref>), while IFN-&#x003B1; genetic variants were found to be associated with mixed connective tissue disease and prognosis in glioma patients (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>).</p>
<p>During TLR-mediated immune response, TLR3, TLR7, TLR8, and TLR9 sense intracellular, while TLR2 and TLR4 detect extracellular, cell surface-associated viral antigens (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B62">62</xref>). TLRs transduce the signal by binding MyD88 and TRIF, which in turn stimulate IRF3, IRF7, and NF-&#x003BA;B enhancing type I IFN response (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B63">63</xref>&#x02013;<xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>A multitude of case-control studies analyzed the role of TLR-associated SNPs in health and disease. <italic>TLR3</italic> SNPs were associated with infectious, autoimmune, and neoplastic diseases. Certain studies demonstrated association of <italic>TLR3</italic> polymorphisms with hepatitis B and C virus (HBV and HCV), herpes simplex virus (HSV), HIV infections (<xref ref-type="bibr" rid="B66">66</xref>&#x02013;<xref ref-type="bibr" rid="B72">72</xref>), while SNPs rs3775291, rs3775292, rs5743312, and rs7657186 were associated with vaccine-induced immunity to serogroup C meningococcal vaccine as defined by virus-specific IgG persistence (<xref ref-type="bibr" rid="B73">73</xref>). rs3775291 was also associated with various autoimmune disorders including SLE, rheumatoid arthritis (RA), and sarcoidosis (<xref ref-type="bibr" rid="B74">74</xref>&#x02013;<xref ref-type="bibr" rid="B76">76</xref>). Regarding neoplastic diseases, <italic>TLR3</italic> genetic variants were linked to breast, colorectal and nasopharyngeal cancers, while also serving as prognostic factors in colorectal cancer (CRC) and melanoma malignum (MM) (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B77">77</xref>&#x02013;<xref ref-type="bibr" rid="B81">81</xref>). Several lines of evidence supported the association between SLE and <italic>TLR7</italic> SNPs in various populations (<xref ref-type="bibr" rid="B82">82</xref>&#x02013;<xref ref-type="bibr" rid="B85">85</xref>), while additional studies found correlation between <italic>TLR7</italic> polymorphisms and susceptibility to HCV and chikungunya virus infection, asthma, and age-related macular degeneration (<xref ref-type="bibr" rid="B86">86</xref>&#x02013;<xref ref-type="bibr" rid="B89">89</xref>). The association between rs3764880 of <italic>TLR8</italic> and tuberculosis susceptibility in males has been confirmed in European, Russian, and Chinese populations (<xref ref-type="bibr" rid="B90">90</xref>&#x02013;<xref ref-type="bibr" rid="B92">92</xref>) and other SNPs of <italic>TLR8</italic> were associated with asthma, SLE, and chikungunya virus infection (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B88">88</xref>). With regard to the fourth TLR sensing intracellular viral antigens, <italic>TLR9</italic> has 4 SNPs which were found to be associated with several infectious, autoimmune, and neoplastic diseases. Confirmed associations with infectious diseases include malaria, cytomegalovirus (CMV), and tuberculosis (<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B93">93</xref>&#x02013;<xref ref-type="bibr" rid="B97">97</xref>), while individuals with certain <italic>TLR9</italic> polymorphisms are more susceptible to post-infectious irritable bowel syndrome, SLE and lupus nephritis, Graves&#x00027; disease-related ophthalmopathy, and RA (<xref ref-type="bibr" rid="B98">98</xref>&#x02013;<xref ref-type="bibr" rid="B104">104</xref>). With respect to neoplastic diseases, acute myeloid leukemia (AML), and cervical cancer were also associated with <italic>TLR9</italic> genetic variants (<xref ref-type="bibr" rid="B105">105</xref>&#x02013;<xref ref-type="bibr" rid="B107">107</xref>), while rs187084 is proposed to be a prognostic factor in patients with prostate cancer (<xref ref-type="bibr" rid="B108">108</xref>).</p>
<p><italic>TLR2</italic> and <italic>TLR4</italic> SNPs are probably the most widely investigated genetic variants in the scope of our review. Similarly to studies conducted in other TLR genes, <italic>TLR2</italic> polymorphisms were also found to be associated with tuberculosis and CMV infection (<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B109">109</xref>&#x02013;<xref ref-type="bibr" rid="B111">111</xref>), and additional pathogenic role concerning bacterial vaginosis in HIV-infected patients, recurrent vulvovaginal candidiasis, aggressive periodontitis, neonatal sepsis, Lyme disease, pneumonia, and reactive arthritis were also proposed (<xref ref-type="bibr" rid="B112">112</xref>&#x02013;<xref ref-type="bibr" rid="B119">119</xref>). SNP rs3804100 has been linked to measles-specific antibody levels following immunization, while rs5743708 associated with nasal Staphylococcus aureus carriage (<xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>). Autoimmune disorders linked to <italic>TLR2</italic> SNPs incorporate psoriasis and T1DM (<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B123">123</xref>), while hepatocellular carcinoma (HCC), marginal zone lymphoma, oral, and laryngeal squamous cell carcinoma and prognosis of women with breast cancer have also been linked to certain genetic variants of <italic>TLR2</italic> (<xref ref-type="bibr" rid="B124">124</xref>&#x02013;<xref ref-type="bibr" rid="B127">127</xref>).</p>
<p><italic>TLR4</italic> polymorphisms have been associated with various infectious diseases. Manifest tuberculosis is associated with rs11536889, rs12377632, rs1927911, and rs7873784 (<xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B128">128</xref>), while additional associated infection-related diseases include sepsis and sepsis-related organ failure for rs11536889 and Chlamydia trachomatis infection in women with pelvic inflammatory disease for rs1927911 (<xref ref-type="bibr" rid="B129">129</xref>&#x02013;<xref ref-type="bibr" rid="B131">131</xref>). The most intensively investigated <italic>TLR4</italic> SNP, rs4986790 is associated with a wide range of infections including Gram-negative and Mycobacterium bacteria in high-risk populations, severe respiratory syncytial virus disease, clinical malaria, recurrent cystitis, chronic cavitary pulmonary aspergillosis, HCV infection, and prognosis of HBV-infected individuals (<xref ref-type="bibr" rid="B132">132</xref>&#x02013;<xref ref-type="bibr" rid="B141">141</xref>). It also has a probable effect on IL-4 secretion after measles vaccination (<xref ref-type="bibr" rid="B142">142</xref>). Another SNP of <italic>TLR4</italic>, rs5030717 is associated with childhood otitis media (<xref ref-type="bibr" rid="B143">143</xref>).</p>
<p>With respect to autoimmune-related diseases, <italic>TLR4</italic> SNPs associate with ankylosing spondylitis, RA, giant cell arteritis, and preeclampsia (<xref ref-type="bibr" rid="B144">144</xref>&#x02013;<xref ref-type="bibr" rid="B147">147</xref>). In addition, rs10759932 and rs4986790 are linked to acute rejection following kidney and lung transplantation, respectively (<xref ref-type="bibr" rid="B148">148</xref>, <xref ref-type="bibr" rid="B149">149</xref>). Several <italic>TLR4</italic> polymorphisms (rs10759932, rs10983755, rs11536889, rs1927911, rs2149356, and rs4986790) are associated with gastric cancer susceptibility, where the risk-elevating Helicobacter pylori infection might have an important role (<xref ref-type="bibr" rid="B150">150</xref>&#x02013;<xref ref-type="bibr" rid="B154">154</xref>). Other tumors linked to <italic>TLR4</italic> genetic variants include HCC, prostate cancer, CRC, and non-Hodgkin lymphoma (NHL) (<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B155">155</xref>&#x02013;<xref ref-type="bibr" rid="B160">160</xref>).</p>
<p>Genetic variants of adapter molecule MYD88 are associated with tuberculosis susceptibility, Buerger disease and treatment response in patients with RA (<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B161">161</xref>&#x02013;<xref ref-type="bibr" rid="B163">163</xref>). SNPs of the other key adapter agent, TRIF are associated with pneumonia susceptibility and thyroid cancer (<xref ref-type="bibr" rid="B164">164</xref>, <xref ref-type="bibr" rid="B165">165</xref>).</p>
<p>In addition to type I IFN response viral recognition in the innate immune system leads to NF-kB activation. NF-kB is a multiprotein complex consisting of NFKB1, NFKB2, RELA, RELB, and REL (<xref ref-type="bibr" rid="B166">166</xref>). Type I IFN response and NF-kB activation result in IL-6 and IL-8 production (<xref ref-type="bibr" rid="B35">35</xref>). The activation of these mediators contributes to inflammation and complex antiviral immune response (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>As a key player in inflammatory response, <italic>NFKB1</italic> genetic variants has also been associated with atherosclerotic manifestations including coronary artery disease, acute coronary syndrome, dilated cardiomyopathy, and ischaemic stroke (<xref ref-type="bibr" rid="B167">167</xref>&#x02013;<xref ref-type="bibr" rid="B173">173</xref>). Promoter polymorphism rs28362491 is linked to HCV infection and autoimmune diseases including Behcet&#x00027;s disease and SLE (<xref ref-type="bibr" rid="B174">174</xref>&#x02013;<xref ref-type="bibr" rid="B176">176</xref>), while rs3774937 is associated with acute rejection after renal transplantation (<xref ref-type="bibr" rid="B177">177</xref>). Neoplastic diseases associated with <italic>NFKB1</italic> SNPs include CRC, Hodgkin lymphoma, NHL, cervical squamous cell carcinoma, liver, thyroid, breast, and lung cancer (<xref ref-type="bibr" rid="B178">178</xref>&#x02013;<xref ref-type="bibr" rid="B186">186</xref>). rs11574851 of <italic>NFKB2</italic> was found to be linked to RA susceptibility among anti-citrullinated protein antibodies-positive patients (<xref ref-type="bibr" rid="B187">187</xref>), while in healthy women rs1049728 of <italic>RELA</italic> associated with the concentration of soluble ICAM-1, which is an endothelium-derived inflammatory marker (<xref ref-type="bibr" rid="B188">188</xref>). Genetic variants of <italic>REL</italic> have been shown to be linked to various autoimmune diseases including RA, psoriasis, and celiac disease (<xref ref-type="bibr" rid="B189">189</xref>&#x02013;<xref ref-type="bibr" rid="B193">193</xref>).</p>
<p>Polymorphisms of <italic>IL6</italic> have been shown to pre-dispose to pulmonary tuberculosis, acute lung injury in patients with systemic inflammatory response syndrome and post-infectious irritable bowel syndrome (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B194">194</xref>, <xref ref-type="bibr" rid="B195">195</xref>). An association with RA has also been proposed (<xref ref-type="bibr" rid="B196">196</xref>). rs1800795 has been shown to have a role in the prognosis of patients following renal and lung transplantation (<xref ref-type="bibr" rid="B197">197</xref>&#x02013;<xref ref-type="bibr" rid="B199">199</xref>). <italic>IL6</italic> SNPs were also confirmed to have a role in the susceptibility of various cardiovascular disorders including hypertension and stroke (<xref ref-type="bibr" rid="B200">200</xref>&#x02013;<xref ref-type="bibr" rid="B202">202</xref>).</p>
<p>IL-8 is coded by <italic>CXCL8</italic> gene, SNPs of which have been shown to be linked to infectious, autoimmune, and neoplastic diseases. Acne vulgaris, chronic periodontitis, and invasive aspergillosis among immunocompromised patients have been shown to be associated with various variants (<xref ref-type="bibr" rid="B203">203</xref>&#x02013;<xref ref-type="bibr" rid="B205">205</xref>). Autoimmune diseases including idiopathic pulmonary fibrosis, childhood IgA nephropathy, erosive oral lichen planus, childhood asthma, and Graves&#x00027; disease have also been linked to genetic variants of <italic>CXCL8</italic> (<xref ref-type="bibr" rid="B206">206</xref>&#x02013;<xref ref-type="bibr" rid="B210">210</xref>). Concerning neoplastic diseases, non-small cell lung cancer, and gastric cancer have been proposed to be associated with <italic>CXCL8</italic> SNPs (<xref ref-type="bibr" rid="B154">154</xref>, <xref ref-type="bibr" rid="B211">211</xref>, <xref ref-type="bibr" rid="B212">212</xref>).</p>
<p>In conclusion, large majority of the discussed SNPs present pleiotropic effects, among which the frequent presence of various autoimmune and infection-related traits highlights their putative involvement in the susceptibility and severity of COVID-19.</p></sec>
<sec id="s4">
<title>Toward Precision Risk Assessment: Predicting COVID-19 Susceptibility and Severity Based on a Polygenic Risk Score</title>
<p>As genetic susceptibility regarding COVID-19 is an ongoing topic of several large international collaborations we anticipate to acquire a large amount of evidence regarding susceptibility loci in the near future. Indeed, recent studies identified germline variants of TLR3- and IRF7-dependent type I IFN immunity to associate with more severe COVID-19 infection (<xref ref-type="bibr" rid="B213">213</xref>). In particular, disease-causing germline variants have been detected in <italic>TLR3, UNC93B1, TICAM1, TBK1, IRF3, IRF7, IFNAR1</italic>, and <italic>IFNAR2</italic> in patients with life-threatening COVID-19 (<xref ref-type="bibr" rid="B213">213</xref>). Another recent study analyzing 1,610 COVID-19 patients and 2,205 control subjects from the first wave in heavily affected Italy and Spain found 2 chromosomal loci on chromosome three and nine with significant association with COVID-19 patients (<xref ref-type="bibr" rid="B214">214</xref>). On chromosome three the affected area includes several actors which might alter COVID-19 susceptibility including chemokine receptors, while on chromosome nine the association signal coincided with the AB0 blood group locus (<xref ref-type="bibr" rid="B214">214</xref>). AB0 blood group has independently been linked to COVID-19 susceptibility (<xref ref-type="bibr" rid="B214">214</xref>&#x02013;<xref ref-type="bibr" rid="B216">216</xref>). Further studies are needed to confirm these associations in independent populations.</p>
<p>Applying this knowledge to detect individuals with elevated risk for severe disease might help to prioritize them for vaccination and stricter protection measures. As COVID-19 susceptibility and severity seem to have a polygenic background, we propose that a curated polygenic risk score (PGRS) might facilitate the detection of individuals with high risk for infection (<xref ref-type="fig" rid="F1">Figure 1</xref>). Based on genome-wide analyses, polygenic risk scores are able to detect high-risk individuals in various diseases, fine-tuning the more widely used risk stratification dependent on baseline anthropometric and physiological characteristics (<xref ref-type="bibr" rid="B217">217</xref>, <xref ref-type="bibr" rid="B218">218</xref>). A most recent GWAS on a cohort of COVID-19 patients from the U.K. found eight lead variants from independent genome-wide significant regions including rs2236757 in <italic>IFNAR2</italic> coding for interferon &#x003B1; and &#x003B2; receptor subunit 2 (<xref ref-type="bibr" rid="B219">219</xref>). Though the individual odds ratio for each of the relatively frequent variants varies between 1.3 and 2.1, the combined odds ratio in the case of harboring all these susceptibility variants rises to 29.5, underlining the applicability of a polygenic risk score (<xref ref-type="bibr" rid="B219">219</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Polygenic risk scores might detect high-risk individuals regarding COVID-19 susceptibility and severity. The actual susceptibility and severity of COVID-19 varies widely within the population (left panel, redder individuals are more, greener individuals are less prone for severe COVID-19 disease). Genome-wide association studies might distinguish a group of SNPs from which a clinically relevant polygenic risk score can be built (right panel). Color-coded squares represent the presence of the risk allele (red) or the alternative allele (green) in each individual. The intensity of red corresponds to the odds ratio of the risk allele compared to the alternative allele. Resultant values of the odds ratios of each SNPs are color-coded as the polygenic risk score (orange background). Personalized risk scores correlate well with actual COVID-19 risk, however additional environmental, anthropometric factors and comorbidities also modify the phenotype.</p></caption>
<graphic xlink:href="fimmu-12-653489-g0001.tif"/>
</fig>
<p>In addition to COVID-19 susceptibility, inclusion of genetic predictors of disease severity and treatment response might also be included. In particular, based on the effectiveness of glucocorticoid administration confirmed by the randomized, controlled RECOVERY clinical trial (<xref ref-type="bibr" rid="B220">220</xref>), it would be interesting to see if pharmacogenetic modifiers of glucocorticoid action, sensitivity and metabolism contribute to the severity of COVID-19 infection and treatment response (<xref ref-type="bibr" rid="B221">221</xref>).</p>
<p>It is important to note that the majority of the observed associations in <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref> were only validated in specific populations. By analyzing the population-specific allelic frequencies of the reviewed viral entry and innate immunity-related SNPs reviewed (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>) we can conclude that the large variations in SNP frequencies might heavily influence their association with various traits in select populations. Additionally, pronounced differences in risk allele frequencies of the 8 proposed lead COVID-19-related SNPs (<xref ref-type="bibr" rid="B219">219</xref>) are present in different populations (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>). Moreover, these differences most probably alter epistatic interactions between genes, adding an additional layer of complexity (<xref ref-type="bibr" rid="B222">222</xref>).</p>
<p>Therefore, the observed population dependency of genotype-phenotype associations would probably result in population-specific PGRSs rather than a universal PGRS optimal for all populations. Dedicated efforts to perform population-specific GWASs regarding COVID-19 susceptibility and severity to build population-specific PGRSs are needed to address these differences.</p></sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>The disruption caused by the COVID-19 pandemic has yet unknown consequences on the whole human society and on each affected patient&#x00027;s health as well. Understanding the susceptibility toward this disease is important to detect high-risk individuals and also to decipher molecular mechanisms needed for the development of the clinical phenotype. Viral entry and innate immunity are key mechanisms in the initiation of SARS-CoV-2 infection. We performed a thorough literature review concerning genotype-phenotype association studies regarding agents of these mechanisms. Our results indicated that SNPs in the genes of these processes are frequently associated with susceptibility to various bacterial and viral infections. Additionally, several autoimmune diseases are also linked to these genes, underlining the versatile immune consequences of these genetic variants. Based on the confirmed associations it is highly plausible that the abovementioned SNPs might confer altered susceptibility to SARS-CoV-2 infection and its complex clinical consequences.</p>
<p>In addition to viral entry and innate immunity, other mechanisms including adaptive immunity are also of paramount importance regarding the susceptibility to COVID-19 (<xref ref-type="bibr" rid="B35">35</xref>). To better characterize putative genomic susceptibility loci, well-designed, international genome-wide association studies (GWAS) are needed.</p>
<p>As multiple GWASs on host genetic susceptibility are ongoing, several genomic susceptibility loci are proposed to be detected. Translating these individual susceptibility variants into clinically relevant polygenic risk scores would fully leverage this acquired knowledge to easily detect high-risk individuals prioritized for vaccination and stricter protective measures.</p>
<p>All things considered, genetic variants of genes of viral entry and innate immunity might alter susceptibility, and prognosis of COVID-19. Further GWASs are needed to better characterize susceptibility loci and to develop clinically relevant risk stratification strategies.</p></sec>
<sec id="s6">
<title>Author Contributions</title>
<p>VG contributed to the design, performed literature search, and drafted the manuscript. AB contributed to the literature search. JP contributed to the design and the literature search. AP conceived the review, contributed to the design, and literature search. All authors read and have agreed to the final manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
</body>
<back>
<sec sec-type="supplementary-material" id="s7">
<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/fimmu.2021.653489/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2021.653489/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOCX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.DOCX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> The authors would like to acknowledge the financial support of the Ministry of Human Capacities (&#x000C1;EEK/41872-16/2020) and of the 2019 Thematic Excellence Program (TUDFO/51757/2019-ITM).</p>
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