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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">765833</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2021.765833</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association Analysis of <italic>WNT3</italic>, <italic>HLA-DRB5</italic> and <italic>IL1R2</italic> Polymorphisms in Chinese Patients With Parkinson&#x2019;s Disease and Multiple System Atrophy</article-title>
<alt-title alt-title-type="left-running-head">Su et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Association of SNPs with PD</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Wei-Ming</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>
<uri xlink:href="https://loop.frontiersin.org/people/1456370/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gu</surname>
<given-names>Xiao-Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hou</surname>
<given-names>Yan-Bing</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>
<uri xlink:href="https://loop.frontiersin.org/people/1140645/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Ling-Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Bei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ou</surname>
<given-names>Ru-Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xue-Ping</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>
<uri xlink:href="https://loop.frontiersin.org/people/859430/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Bi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shang</surname>
<given-names>Hui-Fang</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">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/124907/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Yong-Ping</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">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1457896/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Neurology, West China Hospital, Sichuan University, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Rare Disease Center, West China Hospital, Sichuan University, <addr-line>Chengdu</addr-line>, <country>China</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/426790/overview">Jian-Hong Zhu</ext-link>, Wenzhou Medical University, China</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/741581/overview">Ryan Scott Anderton</ext-link>, University of Notre Dame Australia, Australia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/332619/overview">Jun Mitsui</ext-link>, The University of Tokyo, Japan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Hui-Fang Shang, <email>hfshang2002@126.com</email>; Yong-Ping Chen, <email>yongping.chen@wchscu.cn</email> </corresp>
<fn fn-type="other">
<p>This article was submitted to Genetics of Common and Rare Diseases, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>765833</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Su, Gu, Hou, Zhang, Cao, Ou, Wu, Chen, Song, Zhao, Shang and Chen.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Su, Gu, Hou, Zhang, Cao, Ou, Wu, Chen, Song, Zhao, Shang and Chen</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> The association between inflammation and neurodegeneration has long been observed in parkinson&#x2019;s disease (PD) and multiple system atrophy (MSA). Previous genome-wide association studies (GWAS) and meta-analyses have identified several risk loci in inflammation-associated genes associated with&#x20;PD.</p>
<p>
<bold>Objective:</bold> To investigate whether polymorphisms in some inflammation-associated genes could modulate the risk of developing PD and MSA in a Southwest Chinese population.</p>
<p>
<bold>Methods:</bold> A total of 2,706 Chinese subjects comprising 1340 PD, 483 MSA and 883 healthy controls were recruited in the study. Three polymorphisms (rs2074404 GG/GT/TT, rs17425622 CC/CT/TT, rs34043159 CC/CT/TT) in genes linked to inflammation in all the subjects were genotyped by using the Sequenom iPLEX Assay.</p>
<p>
<bold>Results:</bold> The allele G of <italic>WNT3</italic> rs2074404 can increase risk on PD (OR: 1.048, 95% CI: 1.182&#x2013;1.333, <italic>p</italic>&#x20;&#x3d; 0.006), exclusively in the LOPD subgroup (OR: 1.166, 95% CI:1.025&#x2013;1.327, <italic>p</italic>&#x20;&#x3d; 0.019), but not in EOPD or MSA. And the recessive model analysis&#x20;also demonstrated an increased PD risk in GG genotype of this locus (OR&#x20;&#x3d;&#x20;1.331, <italic>p</italic>&#x20;&#x3d; 0.007). However, no significant differences were observed in the genotype distributions and alleles of <italic>HLA-DRB5</italic> rs17425622 and <italic>IL1R2</italic> rs34043159 between the PD patients and controls, between the MSA patients and controls, or between subgroups of PD or MSA and controls.</p>
<p>
<bold>Conclusion:</bold> Our results suggested the allele G of <italic>WNT3</italic> rs2074404 have an adverse effect on PD and particularly, on the LOPD subgroup among a Chinese population.</p>
</abstract>
<kwd-group>
<kwd>parkinsion&#x2019;s disease</kwd>
<kwd>multiple system atrophy</kwd>
<kwd>
<italic>Wnt3</italic>
</kwd>
<kwd>
<italic>HLA-DRB5</italic>
</kwd>
<kwd>
<italic>IL1R2</italic>
</kwd>
<kwd>SNP</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Sichuan Province Science and Technology Support Program<named-content content-type="fundref-id">10.13039/100012542</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">West China Hospital, Sichuan University<named-content content-type="fundref-id">10.13039/501100013365</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Neurodegenerative diseases such as Parkinson&#x2019;s disease (PD) and multiple system atrophy (MSA) imposed a severe burden on our aging society. More and more people would suffer from neurodegenerative disorders with increasing life expectancy (<xref ref-type="bibr" rid="B16">Dorsey et&#x20;al., 2007</xref>). Although their causes were not yet fully understood, new genetic insights of PD and some genome-wide association studies (GWAS) have strengthened the evidence that PD has a considerable genetic component (<xref ref-type="bibr" rid="B48">Puschmann, 2013</xref>; <xref ref-type="bibr" rid="B9">Chang et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B42">Nalls et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B3">Blauwendraat et&#x20;al., 2020</xref>). And MSA pedigrees with both autosomal dominant and autosomal recessive inheritance patterns have been reported as well (<xref ref-type="bibr" rid="B54">Wullner et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B29">Hara et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B33">Itoh et&#x20;al., 2014</xref>).</p>
<p>To date, mechanisms underlying PD and MSA pathogenesis remain not fully understood, but recent studies have shown that neuroinflammation might play an important role in their pathogenesis (<xref ref-type="bibr" rid="B34">Jellinger, 2014</xref>; <xref ref-type="bibr" rid="B15">De Virgilio et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B25">Gelders et&#x20;al., 2018</xref>). The association between inflammation and neurodegeneration has long been observed in PD (<xref ref-type="bibr" rid="B41">McGeer and McGeer, 2004</xref>; <xref ref-type="bibr" rid="B46">Phani et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B25">Gelders et&#x20;al., 2018</xref>). In addition, recent studies have shown that inflammation contributions to the abnormal accumulation of &#x3b1;-synuclein, which targets dopamine neurons in the midbrain, forming Lewy bodies in PD (<xref ref-type="bibr" rid="B44">Ohama and Ikuta, 1976</xref>; <xref ref-type="bibr" rid="B49">Schain and Kreisl, 2017</xref>; <xref ref-type="bibr" rid="B6">Bras et&#x20;al., 2020</xref>). In MSA, which is different from PD, such aggregates usually can be found in oligodendrocytes. However, it has been reported that neuroinflammation also closely links to oligodendroglial &#x3b1;-syncleinopathy (<xref ref-type="bibr" rid="B30">Hoffmann et&#x20;al., 2019</xref>). Therefore, inflammation-related genes may play a part in the pathogenesis of such diseases.</p>
<p>
<italic>WNT3</italic> (Wnt Family Member 3) is within a protein-protein interaction network with PD risk genes, such as <italic>LRRK2</italic>, <italic>SNCA</italic> and <italic>MAPT</italic>. It might regulate the gene expression of these PD-related genes in multiple immune cells contributing to PD risk (<xref ref-type="bibr" rid="B53">Witoelar et&#x20;al., 2017</xref>). <italic>HLA-DRB5</italic> (Major Histocompatibility Complex, Class II, DR Beta 5), whose expression products play a central role in the immune system by presenting peptides derived from extracellular proteins, was found to have a possible pathogenic effect Alzheimer&#x2019;s disease (AD) risk (<xref ref-type="bibr" rid="B36">Karch and Goate, 2015</xref>). <italic>IL1R2</italic> (Interleukin 1 Receptor Type 2) is another inflammation-related gene and encodes a cytokine receptor. Polymorphisms, rs2074404 in <italic>WNT3</italic> and rs17425622 in <italic>HLA-DRB5</italic>, have been reported to be associated with PD (<xref ref-type="bibr" rid="B39">Liu et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B53">Witoelar et&#x20;al., 2017</xref>). However, such association was not investigated in patients from Chinese. And the previous results of the association between <italic>IL1R2</italic> rs34043159 and PD in the Chinese population were contradictory (<xref ref-type="bibr" rid="B11">Chen et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B38">Li et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B24">Gao et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B31">Hu et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B22">Fang et&#x20;al., 2021</xref>).</p>
<p>Hence, in this study, we sought to investigate whether these three polymorphisms in inflammation-associated genes could modulate the risk of developing PD and MSA in a Southwest Chinese population.</p>
</sec>
<sec id="s2">
<title>2 Material and Methods</title>
<sec id="s2-1">
<title>2.1 Subjects</title>
<p>Two independent series of patients, the first cohort of PD diagnosed according to the United&#x20;Kingdom PD Society Brain Bank Clinical Diagnostic Criteria for PD (<xref ref-type="bibr" rid="B32">Hughes et&#x20;al., 1992</xref>), and the second cohort of MSA meeting the current consensus criteria for the disease (<xref ref-type="bibr" rid="B26">Gilman et&#x20;al., 2008</xref>), were included in this study. Finally, 1823 Chinese subjects comprising 1340 PD, and 483 MSA, were enrolled from the Department of Neurology, West China Hospital of Sichuan University. Detailed clinical variables, such as sex, age, education level, onset age, and initial symptoms, were recorded. In addition, a group of 883 unrelated, age- and sex-matched healthy Chinese controls (HCs) was also recruited for the study as the control group. Neurologists confirmed that all the HCs did not have any neurological disorders. Signed and informed consent forms were obtained from all the subjects. The ethics committee of West China Hospital of Sichuan University approved this&#x20;study.</p>
</sec>
<sec id="s2-2">
<title>2.2 Genetic Analysis</title>
<p>As described in our previous studies (<xref ref-type="bibr" rid="B14">Chen et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B13">Chen Y. et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Chen et&#x20;al., 2021</xref>), peripheral blood leukocytes from subjects were collected for genomic DNA extraction using standard phenol-chloroform procedures. The genotypes for <italic>WNT3</italic> rs2074404, <italic>HLA-DRB5</italic> rs17425622, and <italic>IL1R2</italic> rs34043159 were determined with Sequenom iPLEX Assay technology (Sequenom, San Diego, CA, United&#x20;States) following the manufacturer&#x2019;s instructions. Generally, about 10&#xa0;ng of genomic DNA from each sample was amplified through a locus-specific polymerase chain reaction with primers flanking the targeted sequence designed using Mass ARRAY Assay Design 3.0 software (Sequenom). A 384 element SpectroCHIP bioarray was used to purify and transfer the extension products. Parameters were obtained through matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Finally, the resultant data were processed and analyzed using Sequenom Mass ARRAY Workstation software. The allele frequencies in five continental populations obtained from 1,000 Genomes and location information of these SNPs was presented in <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>. In consideration of all the three variants located in the non-coding regions of genes, we further predicted where it mapped in the nuclear receptor response elements (NRRE) via NUBIScan15, a computer algorithm to predict DNA recognition sites for nuclear receptors in the regulatory regions of genes, with a threshold of 0.8 raw score by using 100-bp sequence both upstream and downstream of each SNP (<xref ref-type="bibr" rid="B47">Podvinec et&#x20;al., 2002</xref>).</p>
</sec>
<sec id="s2-3">
<title>2.3 Statistical Analysis</title>
<p>The Hardy&#x2013;Weinberg equilibrium (HWE) in controls was assessed based on the chi-square test. Age, gender and allele distribution differences between PD patients and controls, and minor allele frequency (MAF) of the SNP were tested by <italic>t</italic>-test or chi-square test when appropriate. As the risk of developing PD and MSA varied for males and females and for subjects of different ages, binary logistic regression analysis was performed to compare the genotype distributions of the SNP between the patients and controls with gender and age as covariates. A two-tailed <italic>p</italic>&#x20;&#x3c; 0.05 was considered statistically significant. The statistical power was calculated using PS Power and Sample Size Calculations software (version 3.0.43) (<xref ref-type="bibr" rid="B20">Dupont and Plummer, 1990</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Clinical Data</title>
<p>A total of 2,706 subjects, including 1,340 PD, 483 MSA, and 883 healthy controls were recruited in this study, and the demographic information is shown in <xref ref-type="table" rid="T1">Table&#x20;1</xref>. The mean age of PD symptoms onset was 56.46&#x20;&#xb1; 11.47&#xa0;years, that of MSA was 56.77&#x20;&#xb1; 8.92&#xa0;years and that of controls upon recruitment was 56.19&#x20;&#xb1; 11.05&#xa0;years. According to previous study (<xref ref-type="bibr" rid="B4">Bonifati et&#x20;al., 2005</xref>), the PD group was divided into early-onset PD (EOPD, onset &#x2264; 50&#xa0;years of age) with 379 (28.3%) patients and late-onset PD (LOPD, onset &#x3e; 50&#xa0;years of age) subgroup with 961 (71.7%). As for MSA, 254 (52.6%) patients had the MSA-C (MSA with predominant cerebellar features) type and 229 (47.4%) patients had the MSA-P (MSA with predominant parkinsonism)&#x20;type.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic and clinical characteristics of the patients and controls.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variables</th>
<th align="center">PD</th>
<th align="center">MSA</th>
<th align="center">Controls</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Case (n)</td>
<td align="center">1,340</td>
<td align="center">483</td>
<td align="center">883</td>
</tr>
<tr>
<td align="left">Sex, male (%)</td>
<td align="center">698 (52.1%)</td>
<td align="center">242 (50.1%)</td>
<td align="center">433 (49%)</td>
</tr>
<tr>
<td align="left">Age at registration (years)</td>
<td align="center">60.25&#x20;&#xb1; 11.52</td>
<td align="center">59.40&#x20;&#xb1; 8.64</td>
<td align="center">56.19&#x20;&#xb1; 11.05</td>
</tr>
<tr>
<td align="left">Mean age onset (years)</td>
<td align="center">56.46&#x20;&#xb1; 11.47</td>
<td align="center">56.77&#x20;&#xb1; 8.92</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">Mean disease duration (years)</td>
<td align="center">3.80&#x20;&#xb1; 3.71</td>
<td align="center">2.71&#x20;&#xb1; 1.94</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">EOPD/LOPD (n)</td>
<td align="center">379/961</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="left">MSA-C/MSA-P (n)</td>
<td align="center">&#x2014;</td>
<td align="center">254/229</td>
<td align="center">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PD, parkinson&#x2019;s disease; MSA, multiple system atrophy; EOPD, early-onset parkinson&#x2019;s disease; LOPD, late-onset parkinson&#x2019;s disease; MSA-C, MSA with predominant cerebellar features; MSA-P, MSA with predominant parkinsonism. Data are present as mean&#x20;&#xb1; standard deviation, n or n(%).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Genetic Analysis</title>
<p>The genotype distributions and MAF for the three SNPs in both patients and controls did not deviate significantly from Hardy-Weinberg equilibrium (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). The distributions of <italic>WNT3</italic> rs2074404&#xa0;GG genotype showed a higher prevalence in the PD patients than the controls (25.67 vs. 20.61%). After adjusted age and gender, further analysis suggested that the allele G of rs2074404 might increase risk on PD (OR: 1.182, 95% CI: 1.048&#x2013;1.333, <italic>p</italic>&#x20;&#x3d; 0.006) and were also significant in the LOPD subgroup (OR: 1.166, 95% CI: 1.025&#x2013;1.327, <italic>p</italic>&#x20;&#x3d; 0.019) (<xref ref-type="table" rid="T3">Table&#x20;3</xref>). In addition, it became highly significant in the recessive model for the PD and LOPD group (OR: 1.331, 95% CI: 1.082&#x2013;1.637, <italic>p</italic>&#x20;&#x3d; 0.007) (<xref ref-type="table" rid="T4">Table&#x20;4</xref>). However, no significant differences were observed in the genotype distributions and alleles of <italic>HLA-DRB5</italic> rs17425622 between the PD patients and controls, between the MSA patients and controls, or between subgroups of PD or MSA and controls (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>). Likewise, no significant association with PD or MSA was observed for <italic>IL1R2</italic> rs34043159 (<xref ref-type="sec" rid="s12">Supplementary Table S3</xref>). In addition, there were no NRRE of <italic>WNT3</italic>, <italic>HLA-DRB</italic> and <italic>IL1R2</italic> across any sites of the three SNPs via NUBIScan (<xref ref-type="sec" rid="s12">Supplementary Figure&#x20;S1</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Distribution of genotype and allele frequencies of rs2074404, rs17425622 and rs34043159 in PD, MSA patients and controls.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">SNPs</th>
<th colspan="3" align="center">Genotype</th>
<th colspan="2" align="center">Allele frequencies</th>
<th align="center">H-W x<sup>2</sup>
</th>
<th align="center">MAF</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">rs2074404</td>
<td align="center">GG</td>
<td align="center">GT</td>
<td align="center">TT</td>
<td align="center">G</td>
<td align="center">T</td>
</tr>
<tr>
<td align="left">PD</td>
<td align="center">344 (25.67%)</td>
<td align="center">679 (50.67%)</td>
<td align="center">317 (23.66%)</td>
<td align="center">1,367 (51.01%)</td>
<td align="center">1,313 (48.99%)</td>
<td align="char" char=".">0.941</td>
<td align="char" char=".">0.489</td>
</tr>
<tr>
<td align="left">MSA</td>
<td align="center">116 (24.02%)</td>
<td align="center">244 (50.51%)</td>
<td align="center">123 (25.47%)</td>
<td align="center">476 (49.28%)</td>
<td align="center">490 (50.72%)</td>
<td align="char" char=".">0.992</td>
<td align="char" char=".">0.492</td>
</tr>
<tr>
<td align="left">Controls</td>
<td align="center">182 (20.61%)</td>
<td align="center">463 (52.44%)</td>
<td align="center">238 (26.95%)</td>
<td align="center">827 (46.83%)</td>
<td align="center">939 (53.17%)</td>
<td align="char" char=".">0.544</td>
<td align="char" char=".">0.468</td>
</tr>
<tr>
<td align="left">rs17425622</td>
<td align="center">CC</td>
<td align="center">CT</td>
<td align="center">TT</td>
<td align="center">C</td>
<td align="center">T</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">PD</td>
<td align="center">15 (1.12%)</td>
<td align="center">249 (18.58%)</td>
<td align="center">1,076 (80.30%)</td>
<td align="center">279 (10.41%)</td>
<td align="center">2,401 (89.59%)</td>
<td align="char" char=".">0.999</td>
<td align="char" char=".">0.104</td>
</tr>
<tr>
<td align="left">MSA</td>
<td align="center">3 (0.62%)</td>
<td align="center">91 (18.84%)</td>
<td align="center">389 (80.54%)</td>
<td align="center">97 (10.04%)</td>
<td align="center">869 (89.96%)</td>
<td align="char" char=".">0.743</td>
<td align="char" char=".">0.100</td>
</tr>
<tr>
<td align="left">Controls</td>
<td align="center">12 (1.36%)</td>
<td align="center">157 (17.78%)</td>
<td align="center">714 (80.86%)</td>
<td align="center">181 (10.25%)</td>
<td align="center">1,585 (89.75%)</td>
<td align="char" char=".">0.761</td>
<td align="char" char=".">0.103</td>
</tr>
<tr>
<td align="left">rs34043159</td>
<td align="center">CC</td>
<td align="center">CT</td>
<td align="center">TT</td>
<td align="center">C</td>
<td align="center">T</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">PD</td>
<td align="center">328 (24.48%)</td>
<td align="center">664 (49.55%)</td>
<td align="center">348 (25.97%)</td>
<td align="center">1,320 (49.25%)</td>
<td align="center">1,360 (50.75%)</td>
<td align="char" char=".">0.973</td>
<td align="char" char=".">0.493</td>
</tr>
<tr>
<td align="left">MSA</td>
<td align="center">100 (20.70%)</td>
<td align="center">246 (50.93%)</td>
<td align="center">137 (28.37%)</td>
<td align="center">446 (46.17%)</td>
<td align="center">520 (53.83%)</td>
<td align="char" char=".">0.927</td>
<td align="char" char=".">0.462</td>
</tr>
<tr>
<td align="left">Controls</td>
<td align="center">222 (25.14%)</td>
<td align="center">438 (49.60%)</td>
<td align="center">223 (25.25%)</td>
<td align="center">882 (49.94%)</td>
<td align="center">884 (50.06%)</td>
<td align="char" char=".">0.989</td>
<td align="char" char=".">0.499</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SNPs, single nucleotide polymorphisms; PD, Parkinson&#x2019;s disease; MSA, multiple system atrophy; H-W, Hardy-Weinberg equilibrium; MAF, minor allele frequency.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Distributions of genotype and allele frequencies of <italic>WNT3</italic> rs2074404 observed in PD, MSA and healthy-matched control.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">rs2074404</th>
<th rowspan="2" align="center">
<italic>n</italic>
</th>
<th colspan="3" align="center">Genotype</th>
<th rowspan="2" align="center">
<italic>p</italic>
<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th rowspan="2" align="center">OR (95% CI)</th>
<th colspan="2" align="center">Allele</th>
<th rowspan="2" align="center">
<italic>p</italic>
<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th rowspan="2" align="center">OR (95% CI)</th>
</tr>
<tr>
<th align="center">GG</th>
<th align="center">GT</th>
<th align="center">TT</th>
<th align="center">G</th>
<th align="center">T</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">PD</td>
<td align="char" char=".">1,340</td>
<td align="char" char=".">344</td>
<td align="char" char=".">679</td>
<td align="char" char=".">317</td>
<td align="char" char=".">0.814<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">1.013 (0.913, 1.123)</td>
<td align="char" char=".">1,367</td>
<td align="char" char=".">1,313</td>
<td align="char" char=".">
<bold>0.006</bold>
<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
<sup>,</sup>
<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="center">1.182 (1.048, 1.333)</td>
</tr>
<tr>
<td align="left">MSA</td>
<td align="char" char=".">483</td>
<td align="char" char=".">116</td>
<td align="char" char=".">244</td>
<td align="char" char=".">123</td>
<td align="char" char=".">0.848<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
<td align="center">0.987 (0.864, 1.127)</td>
<td align="char" char=".">476</td>
<td align="char" char=".">490</td>
<td align="char" char=".">0.221<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
<td align="center">1.103 (0.943, 1.290)</td>
</tr>
<tr>
<td align="left">HC</td>
<td align="char" char=".">883</td>
<td align="char" char=".">182</td>
<td align="char" char=".">463</td>
<td align="char" char=".">238</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">827</td>
<td align="char" char=".">939</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">EOPD</td>
<td align="char" char=".">379</td>
<td align="char" char=".">93</td>
<td align="char" char=".">201</td>
<td align="char" char=".">85</td>
<td align="char" char=".">0.422<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">1.067 (0.911, 1.250)</td>
<td align="char" char=".">387</td>
<td align="char" char=".">371</td>
<td align="char" char=".">0.051<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">1.184 (0.999, 1.404)</td>
</tr>
<tr>
<td align="left">LOPD</td>
<td align="char" char=".">961</td>
<td align="char" char=".">251</td>
<td align="char" char=".">478</td>
<td align="char" char=".">238</td>
<td align="char" char=".">0.309<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
<td align="center">0.938 (0.829, 1.061)</td>
<td align="char" char=".">980</td>
<td align="char" char=".">954</td>
<td align="char" char=".">
<bold>0.019</bold>
<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
<sup>,</sup>
<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
<td align="center">1.166 (1.025, 1.327)</td>
</tr>
<tr>
<td align="left">HC</td>
<td align="char" char=".">883</td>
<td align="char" char=".">182</td>
<td align="char" char=".">463</td>
<td align="char" char=".">238</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">827</td>
<td align="char" char=".">939</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">MSA-C</td>
<td align="char" char=".">254</td>
<td align="char" char=".">66</td>
<td align="char" char=".">122</td>
<td align="char" char=".">66</td>
<td align="char" char=".">0.444<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">0.938 (0.795, 1.106)</td>
<td align="char" char=".">254</td>
<td align="char" char=".">254</td>
<td align="char" char=".">0.207<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">1.135 (0.932, 1.383)</td>
</tr>
<tr>
<td align="left">MSA-P</td>
<td align="char" char=".">229</td>
<td align="char" char=".">50</td>
<td align="char" char=".">122</td>
<td align="char" char=".">57</td>
<td align="char" char=".">0.642<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
<td align="center">1.042 (0.875, 1.242)</td>
<td align="char" char=".">222</td>
<td align="char" char=".">236</td>
<td align="char" char=".">0.530<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
<td align="center">1.068 (0.869, 1.312)</td>
</tr>
<tr>
<td align="left">HC</td>
<td align="char" char=".">883</td>
<td align="char" char=".">182</td>
<td align="char" char=".">463</td>
<td align="char" char=".">238</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">827</td>
<td align="char" char=".">939</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">EOPD</td>
<td align="char" char=".">379</td>
<td align="char" char=".">93</td>
<td align="char" char=".">201</td>
<td align="char" char=".">85</td>
<td align="char" char=".">0.100</td>
<td align="center">0.796 (0.606, 1.045)</td>
<td align="char" char=".">387</td>
<td align="char" char=".">371</td>
<td align="char" char=".">0.858</td>
<td align="center">1.015 (0.858, 1.201)</td>
</tr>
<tr>
<td align="left">LOPD</td>
<td align="char" char=".">961</td>
<td align="char" char=".">251</td>
<td align="char" char=".">478</td>
<td align="char" char=".">238</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">980</td>
<td align="char" char=".">954</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">MSA-C</td>
<td align="char" char=".">254</td>
<td align="char" char=".">66</td>
<td align="char" char=".">122</td>
<td align="char" char=".">66</td>
<td align="char" char=".">0.745</td>
<td align="center">1.101 (0.885, 1.369)</td>
<td align="char" char=".">254</td>
<td align="char" char=".">254</td>
<td align="char" char=".">0.635</td>
<td align="center">1.063 (0.826, 1.369)</td>
</tr>
<tr>
<td align="left">MSA-P</td>
<td align="char" char=".">229</td>
<td align="char" char=".">50</td>
<td align="char" char=".">57</td>
<td align="char" char=".">122</td>
<td align="left"/>
<td align="left"/>
<td align="char" char=".">222</td>
<td align="char" char=".">236</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>The age and gender were adjusted for as covariates in binary regression models. PD, parkinson&#x2019;s disease; MSA, multiple system atrophy; EOPD, early-onset parkinson&#x2019;s disease; LOPD, late-onset parkinson&#x2019;s disease; MSA-C, MSA with predominant cerebellar features; MSA-P, MSA with predominant parkinsonism; HC, healthy control; OR, odds ratio; CI, confidence interval.</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>Comparisons between PD and HC, between EOPD and HC, or between MSA-C and HC.</p>
</fn>
<fn id="Tfn3">
<label>c</label>
<p>Significant (<italic>p</italic>&#x20;&#x3c; 0.05).</p>
</fn>
<fn id="Tfn4">
<label>d</label>
<p>Comparisons between MSA and HC, between LOPD and HC, or between MSA-P and HC.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Analysis of genetic models for <italic>WNT3</italic> rs2074404 on risk for PD.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Groups</th>
<th align="center">Model</th>
<th align="center">Genotype</th>
<th align="center">
<italic>p</italic> value<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>
</th>
<th align="center">OR (95% CI)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">PD vs. HC</td>
<td align="center">Dominate</td>
<td align="center">GG &#x2b; GT vs. TT</td>
<td align="char" char=".">0.120</td>
<td align="center">1.170 (0.960, 1.426)</td>
</tr>
<tr>
<td align="center">Recessive</td>
<td align="center">GG vs. TT &#x2b; GT</td>
<td align="char" char=".">
<bold>0.007</bold>
</td>
<td align="center">1.331 (1.082, 1.637)</td>
</tr>
<tr>
<td rowspan="2" align="left">EOPD vs. HC</td>
<td align="center">Dominate</td>
<td align="center">GG &#x2b; GT vs. TT</td>
<td align="char" char=".">0.157</td>
<td align="center">1.251 (0.981, 1.705)</td>
</tr>
<tr>
<td align="center">Recessive</td>
<td align="center">GG vs. TT &#x2b; GT</td>
<td align="char" char=".">0.179</td>
<td align="center">1.241 (0.906, 1.698)</td>
</tr>
<tr>
<td rowspan="2" align="left">LOPD vs. HC</td>
<td align="center">Dominate</td>
<td align="center">GG &#x2b; GT vs. TT</td>
<td align="char" char=".">0.819</td>
<td align="center">1.028 (0.812, 1.302)</td>
</tr>
<tr>
<td align="center">Recessive</td>
<td align="center">GG vs. TT &#x2b; GT</td>
<td align="char" char=".">
<bold>0.014</bold>
</td>
<td align="center">1.359 (1.065, 1.735)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn5">
<label>a</label>
<p>The age and gender were adjusted for as covariates in binary regression models. PD, parkinson&#x2019;s disease; EOPD, early-onset parkinson&#x2019;s disease; LOPD, late-onset parkinson&#x2019;s disease; HC, healthy control; OR, odds ratio; CI, confidence interval.</p>
</fn>
<p>bold value, Significant (<italic>p</italic>&#x20;&#x3c; 0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>The current study explored the association between polymorphisms in inflammation-related genes and the risk of developing PD and MSA. We replicated the association of <italic>HLA-DRB5</italic> rs17425622 and <italic>IL1R2</italic> rs34043159 with PD, and first analyzed it with MSA. In addition, we firstly studied the possible modification effects of <italic>WNT3</italic> rs2074404 on PD and MSA. The results indicated the <italic>WNT3</italic> rs2074404 could modify the risk for PD, especially for LOPD rather than MSA or EOPD, but not in <italic>HLA-DRB5</italic> rs17425622 and <italic>IL1R2</italic> rs34043159.</p>
<p>
<italic>WNT3</italic>, encode secreted signaling protein, that possesses significant functions during neural development, such as neural stem cells (NSC) proliferation, axonal guidance, and neuronal survival (<xref ref-type="bibr" rid="B27">Gonzalez-Fernandez et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B18">Duan et&#x20;al., 2018</xref>). A previous study indicated <italic>WNT3</italic> is a candidate risk gene of PD (<xref ref-type="bibr" rid="B39">Liu et&#x20;al., 2011</xref>), and a protein-protein interaction network of <italic>WNT3</italic> with known causative PD genes like <italic>LRRK2</italic> was also perceived (<xref ref-type="bibr" rid="B53">Witoelar et&#x20;al., 2017</xref>). The locus rs2074404 of <italic>WNT3</italic> was previously found to be a CD (Coeliac disease) associated polymorphism (<xref ref-type="bibr" rid="B19">Dubois et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B23">Franke et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B1">Amundsen et&#x20;al., 2014</xref>). It was also shown that gut inflammation is a main pathological feature occurring in both PD and CD and this inflammation may contribute to &#x3b1;-synuclein aggregation (<xref ref-type="bibr" rid="B21">Dzamko et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B17">Drobny et&#x20;al., 2021</xref>). Additionally, some SNPs in genes responsible for binding bacterial metabolites and intestinal homeostasis were associated with PD (<xref ref-type="bibr" rid="B28">Gorecki et&#x20;al., 2020</xref>). All above suggested CD have a link with neurodegenerative diseases, in some respects of genetics and intestinal flora (<xref ref-type="bibr" rid="B51">Voros et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B7">Cao et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B50">Spielman et&#x20;al., 2018</xref>). Our study found the minor G allele of rs2074404 had a 1.182-bold increased risk of PD, which further supported there may be shared pathways and similar pathogenesis between CD and PD. Analyzing rs2074404 using two genetic models (dominant and recessive) showed that rs2074404 was significantly associated with PD in the recessive mode and with LOPD, suggesting that the G allele was a risk allele for PD.Nevertheless, it didn&#x2019;t reach significance in the EOPD subgroup. One study indicated that there might be differences in inflammatory responses between EOPD and LOPD, and peripheral immune disorders were more severe in LOPD patients (<xref ref-type="bibr" rid="B35">Jiang et&#x20;al., 2019</xref>). It was also possible that the long-term inflammatory stimulation due to rs2074404 variants increased the risk of LOPD instead of EOPD. Mechanistically, rs2074404, an intron variant mapped in <italic>WNT3</italic>, is not located on the NRRE predicted by NUBIScan, however, we found an NRRE component, ER6 (everted repeats separated by 6 base pairs), is not far upstream from it (<xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>), and the different allele of rs2074404 might affect the ER6 element binding and further influence <italic>WNT3</italic> expression. Furthermore, we found that <italic>WNT3</italic> rs2074404 has a three-dimensional interacting with rs916888 that also has a similar link to <italic>WNT3</italic> rs415430 (<xref ref-type="bibr" rid="B40">Lu et&#x20;al., 2017</xref>) (<xref ref-type="sec" rid="s12">Supplementary Table S4</xref>), which has been reported to be associated with PD in an Ashkenazi Jewish population (<xref ref-type="bibr" rid="B39">Liu et&#x20;al., 2011</xref>). However, whether rs2074404 affects the expression of WNT3, or the fact and potential mechanisms that rs2074404 or rs415430 in <italic>WNT3</italic> were associated with the increased PD risk need more studies. Moreover, this locus makes no difference on MSA onset. Onset age might be one reason, because <italic>WNT3</italic> rs2074404 increased the risk of development for PD, mainly in LOPD, but not in EOPD. For MSA, the mean onset age was younger than that in LOPD, which makes MSA suffer from a relative shorter-term inflammatory stimulation mediated by <italic>WNT3</italic> rs2074404. Even now, the role of neuroinflammation in MSA cannot be ignored. As our previous study has shown, rs3135500 variant in the <italic>NOD2</italic> gene whose products act a role in the immune response might increase the risk for MSA (<xref ref-type="bibr" rid="B7">Cao et&#x20;al., 2018</xref>). However, there were no relevant studies on whether <italic>WNT3</italic> rs2074404 could contribute to the development of MSA. In this study, it was an exploratory study, the smaller sample size of MSA patients might be another reason which contributing the negative results. It is worth point out that our study may be the first one to directly report that rs2074404 is a polymorphism for PD risk with specific data, Therefore, our findings need to be confirmed in more studies with larger sample-size.</p>
<p>
<italic>IL1R2</italic> encodes the receptor of IL1 (interleukin-1), a critical inflammation cytokine. The association between IL1 and dopaminergic dysfunction has been reported (<xref ref-type="bibr" rid="B52">Williams-Gray et&#x20;al., 2016</xref>). And this locus has been found to be associated with PD and AD among the Chinese population in some researches (<xref ref-type="bibr" rid="B38">Li et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B10">Chen K. et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B22">Fang et&#x20;al., 2021</xref>), but in some were not (<xref ref-type="bibr" rid="B11">Chen et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B31">Hu et&#x20;al., 2020</xref>). In this current study, rs34043159 was also found to have no effect on both PD and MSA. And then, after a comprehensive searching, we pooled five previous studies including this locus in Chinese and the current analysis (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>; <xref ref-type="table" rid="T5">Table&#x20;5</xref>) together which came out with a nonsignificant result similar to ours, whether performed by random-effects or fixed-effect model. However, using the sample from Chinese (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>, 7,626 allele in patients and 9,322 allele in controls), the statistical power for the rs34043159 polymorphism was 0.677 if the MAF in controls was 38.3% and the OR of developing PD in patients relative to controls 1.08 (<xref ref-type="bibr" rid="B11">Chen et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B38">Li et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B24">Gao et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B31">Hu et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B22">Fang et&#x20;al., 2021</xref>), indicated the lack of statistical power to adequately assess the small impact of this risk variant. Further investigations with a larger sample or from experimental evidence are needed to confirm if there is a link between it and PD. In addition, origin-specific effects of the risk locus or potential environmental factors may contribute to these inconsistent results. For MSA, this is the first study to explore rs34043159 on MSA and found out that it is not associated with MSA, whether other loci of <italic>IL1R2</italic> region may make a difference on MSA onset need more evidence.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Forest plot for <italic>IL1R2</italic> rs34043159 on PD risk in Chinese. PD: Parkinson&#x2019;s disease; CI: confidence interval.</p>
</caption>
<graphic xlink:href="fgene-12-765833-g001.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Characteristics of the included studies for the association between <italic>IL1R2</italic> rs34043159 and PD in Chinese.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Author</th>
<th rowspan="2" align="center">Year</th>
<th rowspan="2" align="center">Region</th>
<th colspan="6" align="center">PD</th>
<th colspan="6" align="center">Controls</th>
</tr>
<tr>
<th align="center">CC</th>
<th align="center">CT</th>
<th align="center">TT</th>
<th align="center">Total</th>
<th align="center">C</th>
<th align="center">T</th>
<th align="center">CC</th>
<th align="center">CT</th>
<th align="center">TT</th>
<th align="center">Total</th>
<th align="center">C</th>
<th align="center">T</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Li et&#x20;al.</td>
<td align="char" char=".">2018</td>
<td align="left">Southern China</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">249</td>
<td align="char" char=".">234</td>
<td align="char" char=".">264</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="char" char=".">238</td>
<td align="char" char=".">257</td>
<td align="char" char=".">219</td>
</tr>
<tr>
<td align="left">Chen et&#x20;al.</td>
<td align="char" char=".">2018</td>
<td align="left">China</td>
<td align="char" char=".">159</td>
<td align="char" char=".">310</td>
<td align="char" char=".">163</td>
<td align="char" char=".">632</td>
<td align="char" char=".">628</td>
<td align="char" char=".">636</td>
<td align="char" char=".">123</td>
<td align="char" char=".">272</td>
<td align="char" char=".">137</td>
<td align="char" char=".">532</td>
<td align="char" char=".">518</td>
<td align="char" char=".">546</td>
</tr>
<tr>
<td align="left">Gao et&#x20;al.</td>
<td align="char" char=".">2020</td>
<td align="left">Eastern China</td>
<td align="char" char=".">103</td>
<td align="char" char=".">204</td>
<td align="char" char=".">124</td>
<td align="char" char=".">411</td>
<td align="char" char=".">410</td>
<td align="char" char=".">452</td>
<td align="char" char=".">107</td>
<td align="char" char=".">170</td>
<td align="char" char=".">83</td>
<td align="char" char=".">360</td>
<td align="char" char=".">384</td>
<td align="char" char=".">336</td>
</tr>
<tr>
<td align="left">Hu et&#x20;al.</td>
<td align="char" char=".">2020</td>
<td align="left">China</td>
<td align="char" char=".">137</td>
<td align="char" char=".">244</td>
<td align="char" char=".">108</td>
<td align="char" char=".">489</td>
<td align="char" char=".">518</td>
<td align="char" char=".">460</td>
<td align="char" char=".">114</td>
<td align="char" char=".">299</td>
<td align="char" char=".">111</td>
<td align="char" char=".">524</td>
<td align="char" char=".">527</td>
<td align="char" char=".">521</td>
</tr>
<tr>
<td align="left">Fang et&#x20;al.</td>
<td align="char" char=".">2021</td>
<td align="left">Taiwan</td>
<td align="char" char=".">177</td>
<td align="char" char=".">340</td>
<td align="char" char=".">155</td>
<td align="char" char=".">672</td>
<td align="char" char=".">650</td>
<td align="char" char=".">694</td>
<td align="char" char=".">478</td>
<td align="char" char=".">1,093</td>
<td align="char" char=".">553</td>
<td align="char" char=".">2,126</td>
<td align="char" char=".">2,199</td>
<td align="char" char=".">2049</td>
</tr>
<tr>
<td align="left">Current study</td>
<td align="char" char=".">2021</td>
<td align="left">Western China</td>
<td align="char" char=".">328</td>
<td align="char" char=".">664</td>
<td align="char" char=".">348</td>
<td align="char" char=".">1,340</td>
<td align="char" char=".">1,320</td>
<td align="char" char=".">1,360</td>
<td align="char" char=".">222</td>
<td align="char" char=".">438</td>
<td align="char" char=".">223</td>
<td align="char" char=".">883</td>
<td align="char" char=".">882</td>
<td align="char" char=".">884</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PD, parkinson&#x2019;s disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>For <italic>HLA-DRB5</italic> rs17425622, it is a risk locus for UC (ulcerative colitis) (<xref ref-type="bibr" rid="B2">Anderson et&#x20;al., 2011</xref>). <xref ref-type="bibr" rid="B5">Braak et&#x20;al. (2006)</xref> suggested that the pathological process in PD originates in the gastrointestinal tract, and then a hypothesis called &#x201c;gut-brain axis theory&#x201d; has been proposed, which consists of bidirectional communication between the central nervous system and the enteric nervous system (<xref ref-type="bibr" rid="B8">Carabotti et&#x20;al., 2015</xref>). Indeed, as mentioned above, some researches showed that chronically inflamed gut may trigger &#x3b1;-syn deposition, increase the permeability of the blood-brain barrier leading to neuroinflammation (<xref ref-type="bibr" rid="B37">Lema Tome et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B45">Pellegrini et&#x20;al., 2018</xref>). However, whether the SNPs on inflammatory bowel disease genes would increase the risk of PD is worth further exploration. The association of rs17425622 with PD was first explored in a large-scale meta-analysis of genome-wide association, which showed the T allele of rs17425622 could reduce the risk of PD (OR: 0.79, <italic>p</italic>&#x20;&#x3d; 8.07<italic>e</italic>&#x2212;5) in the USA population (<xref ref-type="bibr" rid="B43">Nalls et&#x20;al., 2014</xref>). In addition, a recent study for mapping the HLA locus in PD among Europeans also validated associations for the SNPs rs17425622 (OR: 0.92, 95% CI (0.90, 0.95)) (<xref ref-type="bibr" rid="B55">Yu et&#x20;al., 2021</xref>). However, our preliminary exploration of this locus in the Chinese PD and MSA population did not yield meaningful results. In this study, the statistical power for the rs17425622 polymorphism was 0.857 if the MAF in controls was 21.7% and the OR of developing PD in patients relative to controls 0.79 (<xref ref-type="bibr" rid="B43">Nalls et&#x20;al., 2014</xref>), which indicated the sample size involved in our study was enough. The genetic heterogeneity of different people might be an essential reason for the divergent findings.</p>
<p>The strengths of our study are we included a relatively large and ethnically homogeneous cohort, and <italic>WNT3</italic> rs2074404 related to PD in the Chinese population was tested for the first time. However, this study has some weaknesses or limitations. First, this genetic study did not take the gene-gene or gene-environment interaction into consideration. Second, our study was a single-center study. Thus, more multi-centers and larger studies are expected.</p>
</sec>
<sec id="s5">
<title>5 Conclusion</title>
<p>We found the allele G of <italic>WNT3</italic> rs2074404 was a risk allele for PD and particularly, for the LOPD subgroup. However, we did not detect the significant association of <italic>IL1R2</italic> rs34043159, <italic>HLA-DRB5</italic> rs17425622 with PD and MSA in a Chinese population. More studies for the <italic>WNT3</italic> signaling pathway would be beneficial in developing new therapeutic strategies.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the West China Hospital of Sichuan University. The patients/participants provided their written informed consent to participate in this&#x20;study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>W-MS: Design, execution, data analysis, and writing. X-JG: Execution, blood sample collection, and DNA extraction; Y-BH, L-YZ, BC, and R-WO: Execution and clinical data collection. YW, X-PC, WS, BZ, Y-PC, and H-FS: Execution, patient enrollment. H-FS and Y-PC: Conception, design, organization, review, and critique. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was supported the National Key Research and Development Program of China (2018YFC1312001 and 2016YFC0901504), the National Natural Science Fund of China (Grant No. 81971188), the Science and Technology Bureau Fund of Sichuan Province (No. 2019YFS0216), and the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (Grant No. 2019HXFH046).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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>
<ack>
<p>The authors thank the patients and healthy controls for their participation in the study. And this study could help to explore the underlying mechanism for the effect of inflammation on neurodegenerative diseases and further develop new therapeutic strategies for PD and&#x20;MSA.</p>
</ack>
<sec id="s12">
<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.2021.765833/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgene.2021.765833/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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