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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title><abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2022.965296</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Vitamin D levels and Vitamin D-related gene polymorphisms in Chinese children with type 1 diabetes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Xiaofang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Fu</surname><given-names>Jia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Qian</surname><given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zhi</surname><given-names>Xiufang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Pu</surname><given-names>Linjie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Gu</surname><given-names>Chunyu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Shu</surname><given-names>Jianbo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Lv</surname><given-names>Ling</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Cai</surname><given-names>Chunquan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/860843/overview"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Tianjin Pediatric Research Institute, Tianjin Children&#x0027;s Hospital (Children&#x0027;s Hospital of Tianjin University)</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Graduate College of Tianjin Medical University, Tianjin Medical University</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><addr-line>Tianjin Pediatric Research Institute</addr-line>, <institution>Tianjin Children&#x0027;s Hospital (Tianjin University Children&#x0027;s Hospital)</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff4"><label><sup>4</sup></label><addr-line>Department of Endocrinology</addr-line>, <institution>Tianjin Children&#x0027;s Hospital (Tianjin University Children&#x0027;s Hospital)</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin Children&#x0027;s Hospital (Children&#x0027;s Hospital of Tianjin University)</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Jelena Vojinovic, University of Ni&#x0161;, Serbia</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Mauro Congia, ASSL8-Cagliari, Italy Zhiguang Zhou, Central South University, China</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Ling Lv <email>tjetyyeys@sina.com</email> Chunquan Cai <email>cqcns6@126.com</email></corresp>
<fn id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn001"><p><bold>Specialty Section:</bold> This article was submitted to Pediatric Endocrinology, a section of the journal Frontiers in Pediatrics</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>05</day><month>10</month><year>2022</year></pub-date>
<pub-date pub-type="collection"><year>2022</year></pub-date>
<volume>10</volume><elocation-id>965296</elocation-id>
<history>
<date date-type="received"><day>09</day><month>06</month><year>2022</year></date>
<date date-type="accepted"><day>20</day><month>09</month><year>2022</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2022 Chen, Fu, Qian, Zhi, Pu, Gu, Shu, Lv and Cai.</copyright-statement>
<copyright-year>2022</copyright-year><copyright-holder>Cai, Chen, Fu, Qian, Zhi, Pu, Gu, Shu and Lv</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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>Low vitamin D levels may play a role in type 1 diabetes (T1D) susceptibility. Since 25(OH)D synthesis is genetically regulated, single nucleotide polymorphisms (SNPs) of important genes have also been shown to modulate the risk of T1D, so this study aimed to investigate the relationship between five SNPs in CYP2R1, DHCR7, CYP24A1, VDR genes, serum 25(OH)D levels and T1D in Chinese children. This case-control study included 141 T1D patients and 200 age-matched healthy children.25 (OH) D concentration was determined, genotyping was performed by High resolution melting (HRM). There was a significant difference in the prevalence of vitamin D deficiency, insufficiency, and sufficiency between T1D and healthy controls. (<italic>&#x03C7;</italic><sup>2</sup>&#x2009;&#x003D;&#x2009;10.86, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.004), however no evidence of the association between any group of SNPs and circulating 25(OH) D levels was observed. The allele distribution of CYP2R1(rs1993116) was significantly different between T1D and control group (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.040), and the C allele carriers of rs1993116 had a higher risk of T1D than the T allele carriers, Carriers of the CC and CT genotypes of rs1993116 have higher T1D risk than those carrying the TT genotype. GMDR analysis revealed a significant interaction between CYP2R1(rs12794714) and CYP2R1(rs1993116) in the risk of T1D with a maximum testing balance accuracy of 60.39&#x0025;.</p>
</abstract>
<kwd-group>
<kwd>CYP2R1</kwd>
<kwd>polymorphism</kwd>
<kwd>vitamin D</kwd>
<kwd>T1D</kwd>
<kwd>Chinese children</kwd>
<kwd>GMDR</kwd>
</kwd-group>
<contract-num rid="cn001">TJWJ2021ZD007</contract-num>
<contract-num rid="cn002">ZC20120</contract-num>
<contract-num rid="cn003">21JCZDJC00390</contract-num>
<contract-sponsor id="cn001">Public Health and Technology Project of Tianjin</contract-sponsor>
<contract-sponsor id="cn002">Public Health and Technology Project of Tianjin</contract-sponsor>
<contract-sponsor id="cn003">Natural Science Foundation of Tianjin<named-content content-type="fundref-id">10.13039/501100006606</named-content></contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="5"/><equation-count count="0"/><ref-count count="33"/><page-count count="0"/><word-count count="0"/></counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Type 1 diabetes (T1D) is generally considered a chronic autoimmune disease caused by the destruction of insulin-producing pancreatic beta cells (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>), although T1D can occur at any age, it is one of the most common chronic diseases in childhood. Peak clinical presentation occurs between 5 and 7 years of age, at or near adolescence (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Globally, both the incidence and prevalence of T1D are increasing, however the greatest increase in incidence occurs in children under 15 years of age, especially in children under 5 years of age (<xref ref-type="bibr" rid="B5">5</xref>), These increases cannot be fully explained by genetic changes, involving environmental or behavioral factors, or both. T1D, once considered a single autoimmune disease, is now increasingly recognized as caused by complex interactions between environmental factors and the microbiome, genome, metabolism, and immune system (<xref ref-type="bibr" rid="B6">6</xref>). Many environmental factors have been associated with T1D, including diet, vitamin D deficiency, viruses associated with islet inflammation (e.g., enteroviruses), and decreased gut&#x2014;microbiome diversity. There is growing evidence that low vitamin D concentrations are strongly associated with a variety of adverse outcomes, such as asthma, diabetes, cardiovascular disease, and certain cancers (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Common genetic variants affecting circulating 25(OH) D levels may be important in enhancing our understanding of the observed associations between vitamin D status and several diseases.</p>
<p>Vitamin D is a fat-soluble steroid, ergocalciferol (vitamin D2) is produced by ultraviolet irradiation of the plant sterol ergosterol, and cholecalciferol (vitamin D3) is produced from its precursor 7-dehydrocholesterol (7-DHC) synthesized in human skin under ultraviolet light. Epidemiological evidence suggests that vitamin D deficiency is associated with the pathogenesis of T1D (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). as 25(OH) D synthesis is genetically regulated, single nucleotide polymorphisms (SNPs) may alter bioavailability and targeting effects of vitamin D metabolites, polymorphisms in genes critical for vitamin D metabolism have also been shown to modulate T1D risk (<xref ref-type="bibr" rid="B13">13</xref>). Genome-wide association studies(GWAS) have confirmed that distinct polymorphisms in genes involved in vitamin D metabolism may affect islet autoimmunity and risk of T1D, SNPs of important genes involved in synthesis (7-dehydrocholesterol reductase, <italic>DHCR7),</italic> hydroxylation (cytochrome P450 family 2 subfamily R member 1, <italic>CYP2R1</italic>), degradation (cytochrome P450 family 24 subfamily A member 1, <italic>CYP24A1</italic>) and transcription (vitamin D receptor, <italic>VDR</italic>) (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The purpose of this study was to evaluate the relationship between <italic>CYP2R1</italic>(rs1993116, rs12794714), <italic>DHCR7</italic>(rs12785878), <italic>CYP24A1</italic> (rs17216707), <italic>VDR</italic> (rs1544410), T1D and vitamin D levels in Chinese children.</p>
</sec>
<sec id="s2"><title>Materials and methods</title>
<sec id="s2a"><title>Subjects</title>
<p>This study was designed as a retrospective case-control study, with all subjects from Tianjin Children&#x0027;s Hospital. The case group included 141 patients with T1D (59 males and 82 females), the mean age at the time of study&#x2009;&#x00B1;&#x2009;standard deviation (SD)&#x2009;&#x003D;&#x2009;(6.3&#x2009;&#x00B1;&#x2009;3.3 years), Diagnosis of T1D is based on typical clinical presentation, high serum HbA1c level, low serum C-peptide level, and presence of one or more pancreatic autoantibodies (<xref ref-type="bibr" rid="B16">16</xref>). The control group included 200 healthy children (114 males and 86 females, mean age&#x2009;&#x00B1;&#x2009;SD&#x2009;&#x003D;&#x2009;(5.6&#x2009;&#x00B1;&#x2009;3.6 years). The study was approved by the Medical Ethics Committee of Tianjin Children&#x0027;s Hospital.</p>
</sec>
<sec id="s2b"><title>Detection of serum vitamin D levels</title>
<p>Serum samples were collected during 2017&#x2013;2019, and stored frozen at &#x2212;80&#x2005;&#x00B0;C until analysis. Serum 25 (OH) D2 and 25 (OH) D3 levels were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS), and the sum of the two was 25 (OH) D concentration. To compare the prevalence of vitamin D deficiency in T1D and controls, 25 (OH) D levels were divided into deficiency (&#x003C;20&#x2005;ng/ml), insufficient (20&#x2013;29&#x2005;ng/ml), and sufficient (&#x2265;30&#x2005;ng/ml) (<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s2c"><title>Genotyping</title>
<p>High-resolution melting (HRM) analysis has been tested in a variety of clinical mutation-scanning and genotyping applications and proved to be sensitive (<xref ref-type="bibr" rid="B18">18</xref>), so we used HRM for genotyping in this study. Genomic DNA was extracted from whole blood using the Genomic blood DNA mini kit (Beijing ComWin Biotech.) according to the manufacturer&#x0027;s protocol, and stored at &#x2212;20&#x2005;&#x00B0;C for later use. According to the website (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov">https://www.ncbi.nlm.nih.gov</ext-link>) and previous research, Primers were designed using DNAMAN9 software and PCR amplification was performed. The amplified products obtained were sent to Sanger sequencing. The sequencing results were analyzed with Chromas2.6.4 sequence analysis software and the required High-resolution melting reference samples were found. Amplification was performed in a 20&#x2005;<italic>&#x03BC;</italic>l reaction volume containing 10&#x2005;<italic>&#x03BC;</italic>l Forget-Me-Not<sup>TM</sup> EvaGreen<sup>&#x24C7;</sup>qPCR Master Mix (Biotum, USA), 8&#x2005;<italic>&#x03BC;</italic>l ddH20, 0.5&#x2005;<italic>&#x03BC;</italic>l forward primer, 0.5&#x2005;<italic>&#x03BC;</italic>l reverse primer, DNA 1&#x2005;<italic>&#x03BC;</italic>l. HRM was performed using a LightCycler<sup>&#x24C7;</sup>480, 1&#x2005;min at 95&#x2005;&#x00B0;C, 1&#x2005;min at 40&#x2005;&#x00B0;C, melting was done from 55&#x2005;&#x00B0;C to 98&#x2005;&#x00B0;C at 0.1&#x2005;&#x00B0;C/sec, melting curves were analyzed with LightCycler 480 Software 1.5, After data collection, melting curves are normalized by selecting a linear region before and after the melting transition.</p>
</sec>
<sec id="s2d"><title>Statistical analysis</title>
<p>SPSS software (version 26.0) was used for the data analysis. Mann-Whitney U test was used to detect the association between SNPs genotype and serum 25(OH)D level. The Chi-square test was used to calculate genotype and allele frequencies in cases and controls, and assessment of Hardy-Weinberg equilibrium (HWE) for controls. Logistic regression adjustment for covariates (age, sex) was performed to investigate the association between five SNPs in the <italic>CYP2R1</italic>, <italic>DHCR7, CYP24A1</italic> genes, and T1D risk. Analysis of SNP-SNP interactions associated with T1D risk using generalized multifactorial dimensionality reduction (GMDR, version 0.7, University of Virginia, USA). Two-tailed <italic>P</italic>-values &#x003C;0.05 were considered statistically significant for all tests.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Clinical and biochemical data and prevalence of vitamin D deficiency in T1d</title>
<p>Baseline characteristics of the study population and the prevalence of 25 (OH) D deficiency in children with T1D and healthy controls are shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. There was no significant difference in mean age at the time of the case and control studies, (<italic>&#x03C7;</italic><sup>2</sup>&#x2009;&#x003D;&#x2009;1.74, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.083), but there was a significant difference in the ratio of males and females.(<italic>&#x03C7;</italic><sup>2</sup>&#x2009;&#x003D;&#x2009;7.6, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.006). For the T1D group, 56.0&#x0025; were vitamin D deficient, 31.9&#x0025; were vitamin D Insufficiency, and 12.1&#x0025; were vitamin D Sufficiency, while the control group 38.5&#x0025; were vitamin D deficient, 48.0&#x0025; were vitamin D Insufficiency, and 13.5&#x0025; were vitamin D Sufficiency. There was a significant difference in the prevalence of vitamin D deficiency, insufficiency, and sufficiency between T1D and healthy controls. (<italic>&#x03C7;</italic><sup>2</sup>&#x2009;&#x003D;&#x2009;10.86, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.004). Vitamin D deficiency are more prevalent in T1D.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Characteristics of the study population.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">T1D (<italic>n</italic>&#x2009;&#x003D;&#x2009;141)</th>
<th valign="top" align="center">Control (<italic>n&#x2009;</italic>&#x003D;&#x2009;200)</th>
<th valign="top" align="center"><italic>t/Z/&#x03C7;<sup>2</sup></italic></th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years (mean&#x2009;&#x00B1;&#x2009;SD)</td>
<td valign="top" align="center">6.3&#x2009;&#x00B1;&#x2009;3.3</td>
<td valign="top" align="center">5.6&#x2009;&#x00B1;&#x2009;3.6</td>
<td valign="top" align="center">1.74</td>
<td valign="top" align="center">0.083</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">&#x2003;Gender</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">59 (41.8&#x0025;)</td>
<td valign="top" align="center">114 (57.0&#x0025;)</td>
<td valign="top" align="center">7.6</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">82 (58.2&#x0025;)</td>
<td valign="top" align="center">86 (43.0&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Duration of T1DM (months)</td>
<td valign="top" align="center">6.0 (2.0&#x2013;24.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TC (mmol/l)</td>
<td valign="top" align="center">5.0&#x2009;&#x00B1;&#x2009;1.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TG (mmol/l)</td>
<td valign="top" align="center">3.1&#x2009;&#x00B1;&#x2009;3.7</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HDL-C (mmol/l)</td>
<td valign="top" align="center">1.4&#x2009;&#x00B1;&#x2009;0.5</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LDL-C (mmol/l)</td>
<td valign="top" align="center">2.9&#x2009;&#x00B1;&#x2009;1.2</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ALP, (IU/l)</td>
<td valign="top" align="center">266.9&#x2009;&#x00B1;&#x2009;99.6</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">&#x2003;Vit D status</td>
</tr>
<tr>
<td valign="top" align="left">deficiency (&#x2264;20&#x2005;ng/ml)</td>
<td valign="top" align="center">79 (56.0&#x0025;)</td>
<td valign="top" align="center">77 (38.5&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Insufficiency (20&#x2013;30&#x2005;ng/ml)</td>
<td valign="top" align="center">45 (31.9&#x0025;)</td>
<td valign="top" align="center">96 (48.0&#x0025;)</td>
<td valign="top" align="center">10.86</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">sufficiency (&#x2265;30&#x2005;ng/ml)</td>
<td valign="top" align="center">17 (12.1&#x0025;)</td>
<td valign="top" align="center">27 (13.5&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol.</p></fn>
<fn id="table-fn2"><p>ALP, Alkaline phosphatase.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><title>Genotypes and serum 25(Oh) D levels</title>
<p>The relationship between the genotypes of the five SNPs and serum 25 (OH) D levels in patients and controls is shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. The relationship between SNPs genotypes and 3 groups of vitamin D levels (deficient, insufficient and sufficient) is shown in the supplementary materials section (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). In the control group, <italic>CYP2R1</italic> (rs12794714) not complied with Hardy-Weinberg equilibrium, there may be selection bias. Deviation from Hardy-Weinberg equilibrium was not observed in the other four SNPs, the chi-square test is shown in the supplementary materials section (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>). However, no evidence of association between any group of SNPs and circulating 25 (OH) D levels was observed in our study.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Relationship between SNPs genotypes and serum 25(OH) D levels.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">SNPs</th>
<th valign="top" align="center" colspan="3">25 (OH)D (ng/ml)<hr/></th>
<th valign="top" align="center"><italic>&#x03C7;</italic>2</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">GG</th>
<th valign="top" align="center">TG</th>
<th valign="top" align="center">TT</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="6">DHCR7 (rs12785878)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total</td>
<td valign="top" align="center">21.40 (14.13,24.99)</td>
<td valign="top" align="center">20.25 (14.16&#x2013;23.12)</td>
<td valign="top" align="center">20.92 (14.57&#x2013;25.39)</td>
<td valign="top" align="center">0.884</td>
<td valign="top" align="center">0.643</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Case</td>
<td valign="top" align="center">21.05 (15.1&#x2013;31.57)</td>
<td valign="top" align="center">17.77 (13.07&#x2013;24.35)</td>
<td valign="top" align="center">19.13 (14.08&#x2013;25.35)</td>
<td valign="top" align="center">3.620</td>
<td valign="top" align="center">0.164</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">21.40 (13.00&#x2013;22.47)</td>
<td valign="top" align="center">21.40 (15.23&#x2013;22.80)</td>
<td valign="top" align="center">21.40 (16.47&#x2013;26.87)</td>
<td valign="top" align="center">0.764</td>
<td valign="top" align="center">0.683</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">TT</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="6">CYP2R1 (rs12794714)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total</td>
<td valign="top" align="center">21.40 (14.53&#x2013;25.68)</td>
<td valign="top" align="center">20.12 (12.95&#x2013;24.26)</td>
<td valign="top" align="center">20.48 (15.02&#x2013;22.70)</td>
<td valign="top" align="center">2.252</td>
<td valign="top" align="center">0.324</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Case</td>
<td valign="top" align="center">19.12 (14.20&#x2013;25.60)</td>
<td valign="top" align="center">19.25 (12.84&#x2013;25.37)</td>
<td valign="top" align="center">18.17 (14.39&#x2013;25.36)</td>
<td valign="top" align="center">0.554</td>
<td valign="top" align="center">0.758</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">21.39 (15.34&#x2013;26.24)</td>
<td valign="top" align="center">21.40 (12.83&#x2013;23.63)</td>
<td valign="top" align="center">21.40 (15.90&#x2013;22.55)</td>
<td valign="top" align="center">1.503</td>
<td valign="top" align="center">0.472</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">TT</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="6">CYP2R1 (rs1993116)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total</td>
<td valign="top" align="center">20.41 (14.94&#x2013;24.59)</td>
<td valign="top" align="center">20.70 (13.69&#x2013;24.67)</td>
<td valign="top" align="center">21.40 (14.12&#x2013;26.55)</td>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">0.945</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Case</td>
<td valign="top" align="center">18.75 (14.35&#x2013;25.96)</td>
<td valign="top" align="center">18.50 (13.30&#x2013;25.01)</td>
<td valign="top" align="center">21.82 (14.31&#x2013;27.30)</td>
<td valign="top" align="center">0.532</td>
<td valign="top" align="center">0.767</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">21.40 (15.52&#x2013;23.62)</td>
<td valign="top" align="center">21.40 (15.85&#x2013;23.74)</td>
<td valign="top" align="center">20.58 (14.10&#x2013;26.27)</td>
<td valign="top" align="center">0.242</td>
<td valign="top" align="center">0.886</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">TT</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="6">CYP24A1 (rs17216707)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total</td>
<td valign="top" align="center">20.95 (14.38&#x2013;24.69)</td>
<td valign="top" align="center">18.76 (14.11&#x2013;23.89)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.828</td>
<td valign="top" align="center">0.363</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Case</td>
<td valign="top" align="center">19.02 (13.58&#x2013;25.36)</td>
<td valign="top" align="center">18.76 (14.50&#x2013;27.30)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.153</td>
<td valign="top" align="center">0.696</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">21.40 (15.17&#x2013;24.28)</td>
<td valign="top" align="center">18.79 (12.25&#x2013;21.40)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2.762</td>
<td valign="top" align="center">0.096</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">GG</td>
<td valign="top" align="center">GA</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="6">VDR (rs1544410)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total</td>
<td valign="top" align="center">20.59 (14.23&#x2013;24.69)</td>
<td valign="top" align="center">21.40 (15.68&#x2013;24.19)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.241</td>
<td valign="top" align="center">0.623</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Case</td>
<td valign="top" align="center">18.75 (13.66&#x2013;25.19)</td>
<td valign="top" align="center">23.29 (15.13&#x2013;27.97)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.846</td>
<td valign="top" align="center">0.358</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Control</td>
<td valign="top" align="center">21.40 (14.70&#x2013;24.46)</td>
<td valign="top" align="center">21.31 (17.44&#x2013;22.33)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.177</td>
<td valign="top" align="center">0.674</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>The distribution of continuous variable serum 25(OH)D is skewed, then Mann-Whitney U was applied to test the relationship between SNPs genotype and 25(OH)D levels, described as interquartile range P50 (P25, P75).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><title>Genotype and T1d risk</title>
<p>The genotypes and allele frequencies of <italic>CYP2R1</italic>, <italic>DHCR7</italic>, <italic>CYP24A1,</italic> and <italic>VDR</italic> observed in patients and controls are shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>. The allele distribution of <italic>CYP2R1</italic> (rs1993116) was significantly different between T1D and control group (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.040), and the C allele carriers of rs1993116 had a higher risk of T1D than the T allele carriers, Carriers of the CC and CT genotypes of rs1993116 have higher T1D risk than those carrying the TT genotype, the adjusted ORs (and 95&#x0025; CI) were 2.411(1.194&#x2013;4.868) and 2.210(1.115&#x2013;4.377), respectively. In contrast, there was no significant association between <italic>DHCR7</italic> (rs12785878) and <italic>CYP2R1</italic> (rs12794714) and <italic>CYP24A1</italic> (rs17216707 and <italic>VDR</italic> (rs1544410) genotypes and the risk of T1D.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Genotyping frequencies of vitamin D-related polymorphisms in T1D and controls.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Polymorphisms</th>
<th valign="top" align="center"/>
<th valign="top" align="center">T1D, <italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center">Controls, <italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center">&#x03C7;<sup>2</sup></th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">Adjusted OR (95&#x0025; CI)</th>
<th valign="top" align="center">Adjusted <italic>p</italic> V alue</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">DHCR7 (rs12785878)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.143</td>
<td valign="top" align="center">0.565</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">TT</td>
<td valign="top" align="center">40 (28.4)</td>
<td valign="top" align="center">49 (24.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (Ref)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Genotypes</td>
<td valign="top" align="center">GG</td>
<td valign="top" align="center">33 (23.4)</td>
<td valign="top" align="center">43 (21.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.006 (0.538&#x2013;1.883)</td>
<td valign="top" align="center">0.985</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">TG</td>
<td valign="top" align="center">68 (48.2)</td>
<td valign="top" align="center">108 (54.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.816 (0.482&#x2013;1.380)</td>
<td valign="top" align="center">0.448</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Alleles</td>
<td valign="top" align="center">T</td>
<td valign="top" align="center">148 (52.5)</td>
<td valign="top" align="center">206 (51.5)</td>
<td valign="top" align="center">0.064</td>
<td valign="top" align="center">0.800</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">G</td>
<td valign="top" align="center">134 (47.5)</td>
<td valign="top" align="center">194 (48.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CYP2R1 (rs12794714)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">3.997</td>
<td valign="top" align="center">0.136</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">TT</td>
<td valign="top" align="center">26 (18.4)</td>
<td valign="top" align="center">50 (25.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (Ref)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Genotypes</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">53 (37.6)</td>
<td valign="top" align="center">82 (41.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.212 (0.668&#x2013;2.199)</td>
<td valign="top" align="center">0.527</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">62 (44.0)</td>
<td valign="top" align="center">68 (34.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.710 (0.943&#x2013;3.101)</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Alleles</td>
<td valign="top" align="center">C</td>
<td valign="top" align="center">168 (59.6)</td>
<td valign="top" align="center">232 (36.7)</td>
<td valign="top" align="center">0.169</td>
<td valign="top" align="center">0.681</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">T</td>
<td valign="top" align="center">114 (40.4)</td>
<td valign="top" align="center">168 (59.6)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CYP2R1 (rs1993116)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">5.682</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">TT</td>
<td valign="top" align="center">15 (10.6)</td>
<td valign="top" align="center">40 (20.2)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (Ref)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Genotypes</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">57 (40.4)</td>
<td valign="top" align="center">68 (34.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">2.411 (1.194&#x2013;4.868)</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">69 (48.9)</td>
<td valign="top" align="center">90 (45.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">2.210 (1.115&#x2013;4.377)</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Alleles</td>
<td valign="top" align="center">C</td>
<td valign="top" align="center">183 (64.9)</td>
<td valign="top" align="center">226 (57.0)</td>
<td valign="top" align="center">4.211</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">T</td>
<td valign="top" align="center">99 (35.1)</td>
<td valign="top" align="center">170 (43.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CYP24A1 (rs17216707)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1.373</td>
<td valign="top" align="center">0.241</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">TT</td>
<td valign="top" align="center">126 (89.4)</td>
<td valign="top" align="center">185 (93.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (Ref)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Genotypes</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">15 (10.6)</td>
<td valign="top" align="center">14 (7.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.645 (0.297&#x2013;1.399)</td>
<td valign="top" align="center">0.267</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Alleles</td>
<td valign="top" align="center">C</td>
<td valign="top" align="center">15 (5.3)</td>
<td valign="top" align="center">14 (3.5)</td>
<td valign="top" align="center">1.312</td>
<td valign="top" align="center">0.252</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">T</td>
<td valign="top" align="center">267 (94.7)</td>
<td valign="top" align="center">384 (96.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">VDR (rs1544410)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.571</td>
<td valign="top" align="center">0.450</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">GG</td>
<td valign="top" align="center">129 (91.5)</td>
<td valign="top" align="center">178 (89.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1 (Ref)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Genotypes</td>
<td valign="top" align="center">GA</td>
<td valign="top" align="center">12 (8.5)</td>
<td valign="top" align="center">22 (11.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.753 (0.357&#x2013;1.588)</td>
<td valign="top" align="center">0.456</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Alleles</td>
<td valign="top" align="center">G</td>
<td valign="top" align="center">270 (95.7)</td>
<td valign="top" align="center">378 (94.5)</td>
<td valign="top" align="center">0.541</td>
<td valign="top" align="center">0.462</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">A</td>
<td valign="top" align="center">12 (4.3)</td>
<td valign="top" align="center">22 (5.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><p><italic>n</italic>, number; OR, odds ratio; CI, confidence interval. Logistic regression analysis was performed after adjusting for age and gender.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3d"><title>SNP-SNP interactions</title>
<p>GMDR was used to evaluate the optimal interaction combination of five SNPs among the 4 candidate genes (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). In general, we found that the two-locus model including rs12794714, and rs1993116 was the best model with statistical significance (cross-validation consistency&#x2009;&#x003D;&#x2009;10/10, testing balanced accuracy&#x2009;&#x003D;&#x2009;0.6039, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.0107), This suggests that there is a potential interaction between rs12794714 and rs1993116 affecting the risk of T1D. However, we did not find significant gene-vitamin D deficiency interactions.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Gene-gene interaction models in T1D obtained using the GMDR method.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Model</th>
<th valign="top" align="center">Training Bal. Acc.</th>
<th valign="top" align="center">Testing Bal. Acc.</th>
<th valign="top" align="center">CVC</th>
<th valign="top" align="center"><italic>P</italic><xref ref-type="table-fn" rid="table-fn6"><sup>a</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Gene-gene interaction</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;rs12794714, rs1993116</td>
<td valign="top" align="center">0.6167</td>
<td valign="top" align="center">0.6036</td>
<td valign="top" align="center">10/10</td>
<td valign="top" align="center">0.0107</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;rs12794714, rs1993116, rs12785878</td>
<td valign="top" align="center">0.6451</td>
<td valign="top" align="center">0.5923</td>
<td valign="top" align="center">10/10</td>
<td valign="top" align="center">0.0010</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;rs12794714, rs1993116, rs12785878, rs17216707</td>
<td valign="top" align="center">0.6650</td>
<td valign="top" align="center">0.5624</td>
<td valign="top" align="center">10/10</td>
<td valign="top" align="center">0.0547</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;rs12794714, rs1993116, rs12785878, rs17216707, rs1544410</td>
<td valign="top" align="center">0.6795</td>
<td valign="top" align="center">0.5438</td>
<td valign="top" align="center">10/10</td>
<td valign="top" align="center">0.0547</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>Bal. Acc., balanced accuracy; CVC, cross-validation consistency; OR, odds ratio; 95&#x0025; CI, 95&#x0025; confidence interval.</p></fn>
<fn id="table-fn6"><label><sup>a</sup></label><p>The analyses were performed under logistic regression adjusted for age, gender.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>To understand the combined effect of gene-gene interaction on T1D risk, we performed logistic regression analysis on the best model derived from GMDR. The results show that carrying the <italic>CYP2R1</italic> (rs1993116) allele C in conjunction with the <italic>CYP2R1</italic> (rs12794714) genotype CC or allele T increases the risk of T1D, the ORs (and 95&#x0025; CI) were 2.342(1.218&#x2013;4.504), 1.956(1.014&#x2013;3.771), respectively (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>).</p>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Gene-gene interactions influencing T1D based on additive model.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Gene</th>
<th valign="top" align="center">Gene</th>
<th valign="top" align="center">T1D</th>
<th valign="top" align="center">Controls</th>
<th valign="top" align="center">OR (95&#x0025;CI)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">rs1993116</td>
<td valign="top" align="center">rs12794714</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">TT</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">1 (Ref)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">TT</td>
<td valign="top" align="center">TT&#x2009;&#x002B;&#x2009;CT</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.975 (0.421&#x2013;2.260)</td>
<td valign="top" align="center">0.953</td>
</tr>
<tr>
<td valign="top" align="left">CC&#x2009;&#x002B;&#x2009;CT</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">2.298 (1.098&#x2013;4.807)</td>
<td valign="top" align="center">0.027</td>
</tr>
<tr>
<td valign="top" align="left">CC&#x2009;&#x002B;&#x2009;CT</td>
<td valign="top" align="center">TT&#x2009;&#x002B;&#x2009;CT</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">117</td>
<td valign="top" align="center">1.956 (1.014&#x2013;3.771)</td>
<td valign="top" align="center">0.045</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn7"><p>T1D, type 1 diabetes mellitus; OR, odds ratio; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>We designed this case-control study to determine the role of five polymorphisms and their influence on 25(OH)D levels and susceptibility to T1D in Chinese children. we have identified that <italic>CYP2R1</italic> (rs1993116) polymorphism was significantly correlated with T1D in Chinese children. In addition, GMDR analysis showed that there was significant gene-gene interaction among rs12794714 and rs1993116, which was the model with the highest prediction accuracy of the risk of T1D in the five SNPs.</p>
<p>Genome wide association studies (GWAS) meta-analysis of serum 25-hydroxyvitamin D suggests that SNPs in <italic>CYP2R1</italic>, <italic>DHCR7</italic>, <italic>CYP24A1</italic>, and <italic>VDR</italic> genes are associated with circulating 25(OH) D levels (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B19">19</xref>). However, no evidence of this association was observed in our study. Yan Wang et al. also did not find correlation between <italic>CYP2R1</italic> (rs12794714, rs1993116) and 25(OH) D concentration levels in the Chinese rural population (<xref ref-type="bibr" rid="B20">20</xref>). The possible reasons are as follows: (i) There are genetic background and ethnic differences in circulating vitamin D (<xref ref-type="bibr" rid="B21">21</xref>), GWAS-related study populations are mostly of European ancestry, and Geographic differences in diet, sun exposure, and genetic background may alter the susceptibility caused by these genetic variants (<xref ref-type="bibr" rid="B22">22</xref>). (ii) Each SNP has a small undetectable effect, and combinations of several SNPs may result in an additive effect, leading to a reduction in vitamin D levels. (iii) The sample size of our study is not large enough, and Vitamin D levels are not controlled for seasonal effects.</p>
<p>Several human observational studies have provided evidence for an association between serum 25 (OH) D concentration and the risk of T1D (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>), our study also confirmed a higher prevalence of vitamin D deficiency and insufficiency in T1D. As 25(OH)D synthesis is genetically regulated, single nucleotide polymorphisms (SNPs) may alter bioavailability and targeting effects of vitamin D metabolites (<xref ref-type="bibr" rid="B25">25</xref>). Previous correlation studies have shown the association of common variant polymorphisms of <italic>DHCR7</italic>, <italic>CYP2R1</italic>, <italic>CYP24A1</italic>, and <italic>VDR</italic> with T1D, providing early support for the causal role of 25(OH) D in the pathogenesis of T1D (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). However, some of the results are controversial, Evidence from a Mendelian randomization study and several systematic reviews and meta-analyses suggests an invalid association between selected variants affecting serum 25 (OH) D concentration and T1D (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B30">30</xref>). The association of <italic>CYP2R1</italic> (rs1993116) with T1D susceptibility in Chinese children was confirmed in our case-control study, We found genotypes &#x201C;CC&#x201D; (OR&#x2009;&#x003D;&#x2009;2.968, 95&#x0025; CI&#x2009;&#x003D;&#x2009;1.313&#x2013;6.713, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.009,) and &#x201C;CT&#x201D; (OR&#x2009;&#x003D;&#x2009;2.271, 95&#x0025; CI&#x2009;&#x003D;&#x2009;1.066&#x2013;4.838, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.033,) in <italic>CYP2R1</italic> (rs1993116) is significantly related to an increased T1D risk, Carriers of the CC, CT genotypes of rs1993116 have higher T1D risk than those carrying the TT genotype, and the C allele carriers of rs1993116 had a higher risk of T1D than the T allele carriers.</p>
<p>The <italic>CYP2R1</italic> gene is localized on chromosome 11p15.2 and has five exons, spanning across a region of approximately 15.5&#x2005;kb, In humans, <italic>CYP2R1</italic> is mainly distributed in the pancreas, liver, and kidney (<xref ref-type="bibr" rid="B31">31</xref>). It encodes microsomal vitamin D 25 hydroxylase, which is generally considered to be the most important enzyme in vitamin D metabolism. <italic>CYP2R1</italic> catalyzes the 25 hydroxylation of vitamin D3 and vitamin D2 at comparable rates, In mice, knockout of <italic>CYP2R1</italic> reduced 25(OH) D levels by only 50&#x0025; and did not affect circulating 1,25(OH)2D (<xref ref-type="bibr" rid="B32">32</xref>), Which proves that there is a compensatory mechanism for <italic>CYP2R1</italic> deletion, This may explain the lack of association between <italic>CYP2R1</italic> and 25(OH)D concentration levels in our study. We confirmed that <italic>CYP2R1</italic> (rs1993116) increases the risk of T1D, but <italic>CYP2R1</italic> (rs12794714) does not, The probable reason is that Since rs12794714 is located in an intronic region, these synonymous variants do not alter the protein sequence and therefore have minimal impact on 25-hydroxylase activity and function (<xref ref-type="bibr" rid="B33">33</xref>). We originally hypothesized that genetic polymorphisms associated with vitamin D deficiency would increase the risk of T1D, however, our results indicated that <italic>CYP2R1</italic> (rs1993116) was not related to 25(OH)D levels, but was significantly associated with T1D. Whether vitamin D deficiency is a cause or secondary to T1D is still controversial. Due to the relatively limited sample size, these results should be interpreted with caution and further research is required.</p>
<p>Cooper et al. obtained evidence that <italic>DHCR7 and CYP2R1</italic> are associated with T1D (<xref ref-type="bibr" rid="B26">26</xref>), A recent study showed that <italic>CYP2R1</italic> (rs12794714) is closely associated with T1D in Korean children (<xref ref-type="bibr" rid="B8">8</xref>). However, we did not observe an effective association between <italic>DHCR7</italic> (rs12785878), <italic>CYP24A1</italic> (rs17216707), <italic>CYP2R1</italic> (rs12794714), and <italic>VDR</italic> (rs1544410) polymorphism and T1D in Chinese children, Further research is needed in the future.</p>
<p>Growing evidence suggests that T1D is a polygenic metabolic disease with multiple etiologies, and it is necessary to evaluate gene interactions when studying the genetic etiology of T1D. In our study, we found gene interaction between <italic>CYP2R1</italic> (rs12794714) and <italic>CYP2R1</italic> (rs1993116) was significantly associated with the risk of T1D. Carrying the <italic>CYP2R1</italic> (rs1993116) genotype CC&#x2009;&#x002B;&#x2009;CT in conjunction with the <italic>CYP2R1</italic> (rs12794714) genotype CC or genotype TT&#x2009;&#x002B;&#x2009;CT increases the risk of T1D. Although the effect of rs12794714 on T1D is insignificant, the additive interaction between rs12794714 and rs1993116 will increase the risk of T1D.</p>
<p>So far, there are few studies on the relationship between vitamin D, vitamin D-related genes and T1D in Chinese children. We have studied five SNPs of four genes, which can better understand the impact of vitamin D on the pathogenesis of T1D. Also, our study had some limitations, Firstly, the selection bias in this case-control study was its hospital-based design, and it may not be representative of the general population. Secondly, we did not study all the genes involved in the vitamin D metabolic pathway. Finally, our sample size is relatively small, Further expansion of the sample size is required in future studies.</p>
<p>In summary, We studied the triangulation between five SNPs in <italic>CYP2R1</italic>, <italic>DHCR7</italic>, <italic>CYP24A1</italic>, <italic>VDR</italic> genes, serum 25(OH) D levels and T1D in Chinese children. Our study confirms that vitamin D deficiency and insufficiency are more prevalent in T1D, and that <italic>CYP2R1</italic> (rs1993116) polymorphism is a candidate gene for susceptibility to T1D in Chinese children, There was a synergistic effect of gene-gene interactions between <italic>CYP2R1</italic> (rs12794714) and <italic>CYP2R1</italic> (rs1993116) on the risk for T1D, Vitamin D metabolic pathway gene polymorphism, and gene-gene synergy can better explain the effect of vitamin D on the pathogenesis of T1D.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12"><bold>Supplementary Material</bold></xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s6"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by The study was approved by the Medical Ethics Committee of Tianjin Children&#x0027;s Hospital. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="s7"><title>Author contributions</title>
<p>XC: Software, Writing&#x2014;Original Draft, Visualization, Formal analysis; JF: Data Curation, Validation, Formal analysis; YQ: Resources, Investigation, Validation; XZ: Conceptualization, Methodology; LP: Methodology, Validation, Investigation; CG: Data Curation, Methodology; JS: Methodology, Writing&#x2014;Review / Editing, Supervision, Funding acquisition; LL: Writing&#x2014;Review / Editing, Supervision, Project administration; CC: Writing&#x2014;Review / Editing, Supervision, Project administration, Funding acquisition. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information"><title>Funding</title>
<p>This work was supported by the Public Health and Technology Project of Tianjin [grant number TJWJ2021ZD007], the Public Health and Technology Project of Tianjin [grant number ZC20120] and the Natural Science Foundation of Tianjin [grant number 21JCZDJC00390].</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We thank the children and their families for agreeing to participate in this study.</p>
</ack>
<sec id="s9"><title>Conflicts of interest</title>
<p>The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><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 id="s11" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material"><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/fped.2022.965296/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fped.2022.965296/full&#x0023;supplementary-material</ext-link>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/>
</supplementary-material>
<supplementary-material id="SD2" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table2.docx"/>
</supplementary-material>
</sec>
<ref-list><title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Korsgren</surname><given-names>S</given-names></name><name><surname>Molin</surname><given-names>Y</given-names></name><name><surname>Salmela</surname><given-names>K</given-names></name><name><surname>Lundgren</surname><given-names>T</given-names></name><name><surname>Melhus</surname><given-names>A</given-names></name><name><surname>Korsgren</surname><given-names>O</given-names></name></person-group>. <article-title>On the etiology of type 1 diabetes: a new animal model signifying a decisive role for bacteria eliciting an adverse innate immunity response</article-title>. <source>Am J Pathol</source>. (<year>2012</year>) <volume>181</volume>(<issue>5</issue>):<fpage>1735</fpage>&#x2013;<lpage>48</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajpath.2012.07.022</pub-id><pub-id pub-id-type="pmid">22944599</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bluestone</surname><given-names>JA</given-names></name><name><surname>Herold</surname><given-names>K</given-names></name><name><surname>Eisenbarth</surname><given-names>G</given-names></name></person-group>. <article-title>Genetics, pathogenesis and clinical interventions in type 1 diabetes</article-title>. <source>Nature</source>. (<year>2010</year>) <volume>464</volume>(<issue>7293</issue>):<fpage>1293</fpage>&#x2013;<lpage>300</lpage>. <pub-id pub-id-type="doi">10.1038/nature08933</pub-id><pub-id pub-id-type="pmid">20432533</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harjutsalo</surname><given-names>V</given-names></name><name><surname>Sjoberg</surname><given-names>L</given-names></name><name><surname>Tuomilehto</surname><given-names>J</given-names></name></person-group>. <article-title>Time trends in the incidence of type 1 diabetes in finnish children: a cohort study</article-title>. <source>Lancet</source>. (<year>2008</year>) <volume>371</volume>(<issue>9626</issue>):<fpage>1777</fpage>&#x2013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(08)60765-5</pub-id><pub-id pub-id-type="pmid">18502302</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Atkinson</surname><given-names>MA</given-names></name><name><surname>Eisenbarth</surname><given-names>GS</given-names></name><name><surname>Michels</surname><given-names>AW</given-names></name></person-group>. <article-title>Type 1 diabetes</article-title>. <source>Lancet</source>. (<year>2014</year>) <volume>383</volume>(<issue>9911</issue>):<fpage>69</fpage>&#x2013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(13)60591-7</pub-id><pub-id pub-id-type="pmid">23890997</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chobot</surname><given-names>A</given-names></name><name><surname>Polanska</surname><given-names>J</given-names></name><name><surname>Brandt</surname><given-names>A</given-names></name><name><surname>Deja</surname><given-names>G</given-names></name><name><surname>Glowinska-Olszewska</surname><given-names>B</given-names></name><name><surname>Pilecki</surname><given-names>O</given-names></name><etal/></person-group> <article-title>Updated 24-year trend of type 1 diabetes incidence in children in Poland reveals a sinusoidal pattern and sustained increase</article-title>. <source>Diabet Med</source>. (<year>2017</year>) <volume>34</volume>(<issue>9</issue>):<fpage>1252</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1111/dme.13345</pub-id><pub-id pub-id-type="pmid">28257151</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>DiMeglio</surname><given-names>LA</given-names></name><name><surname>Evans-Molina</surname><given-names>C</given-names></name><name><surname>Oram</surname><given-names>RA</given-names></name></person-group>. <article-title>Type 1 diabetes</article-title>. <source>Lancet</source>. (<year>2018</year>) <volume>391</volume>(<issue>10138</issue>):<fpage>2449</fpage>&#x2013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(18)31320-5</pub-id><pub-id pub-id-type="pmid">29916386</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brown</surname><given-names>SD</given-names></name><name><surname>Calvert</surname><given-names>HH</given-names></name><name><surname>Fitzpatrick</surname><given-names>AM</given-names></name></person-group>. <article-title>Vitamin D and asthma</article-title>. <source>Dermatoendocrinol</source>. (<year>2012</year>) <volume>4</volume>(<issue>2</issue>):<fpage>137</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.4161/derm.20434</pub-id><pub-id pub-id-type="pmid">22928069</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nam</surname><given-names>HK</given-names></name><name><surname>Rhie</surname><given-names>YJ</given-names></name><name><surname>Lee</surname><given-names>KH</given-names></name></person-group>. <article-title>Vitamin D level and gene polymorphisms in Korean children with type 1 diabetes</article-title>. <source>Pediatr Diabetes</source>. (<year>2019</year>) <volume>20</volume>(<issue>6</issue>):<fpage>750</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1111/pedi.12878</pub-id><pub-id pub-id-type="pmid">31206955</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>C</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Wan</surname><given-names>Y</given-names></name><name><surname>Xia</surname><given-names>X</given-names></name><name><surname>Pan</surname><given-names>J</given-names></name><name><surname>Gu</surname><given-names>W</given-names></name><etal/></person-group> <article-title>Serum vitamin D deficiency in children and adolescents is associated with type 1 diabetes mellitus</article-title>. <source>Endocr Connect</source>. (<year>2018</year>) <volume>7</volume>(<issue>12</issue>):<fpage>1275</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1530/EC-18-0191</pub-id><pub-id pub-id-type="pmid">30352405</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Zhang</surname><given-names>Z</given-names></name><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Yao</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>R</given-names></name><etal/></person-group> <article-title>Vitamin D deficiency as a risk factor for thyroid cancer: a meta-analysis of case-control studies</article-title>. <source>Nutrition</source>. (<year>2019</year>) <volume>57</volume>:<fpage>5</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1016/j.nut.2018.04.015</pub-id><pub-id pub-id-type="pmid">30086436</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>The</surname><given-names>NS</given-names></name><name><surname>Crandell</surname><given-names>JL</given-names></name><name><surname>Lawrence</surname><given-names>JM</given-names></name><name><surname>King</surname><given-names>IB</given-names></name><name><surname>Dabelea</surname><given-names>D</given-names></name><name><surname>Marcovina</surname><given-names>SM</given-names></name><etal/></person-group> <article-title>Vitamin D in youth with type 1 diabetes: prevalence of insufficiency and association with insulin resistance in the search nutrition ancillary study</article-title>. <source>Diabet Med</source>. (<year>2013</year>) <volume>30</volume>(<issue>11</issue>):<fpage>1324</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1111/dme.12297</pub-id><pub-id pub-id-type="pmid">23909945</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Carakushansky</surname><given-names>M</given-names></name><name><surname>Patel</surname><given-names>P</given-names></name><name><surname>Ben Khallouq</surname><given-names>BA</given-names></name><name><surname>Gurnurkar</surname><given-names>S</given-names></name></person-group>. <article-title>Prevalence of vitamin D deficiency in children with type 1 diabetes mellitus</article-title>. <source>Cureus</source>. (<year>2020</year>) <volume>12</volume>(<issue>4</issue>):<fpage>e7836</fpage>. <pub-id pub-id-type="doi">10.7759/cureus.7836</pub-id><pub-id pub-id-type="pmid">32467811</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Infante</surname><given-names>M</given-names></name><name><surname>Ricordi</surname><given-names>C</given-names></name><name><surname>Sanchez</surname><given-names>J</given-names></name><name><surname>Clare-Salzler</surname><given-names>MJ</given-names></name><name><surname>Padilla</surname><given-names>N</given-names></name><name><surname>Fuenmayor</surname><given-names>V</given-names></name><etal/></person-group> <article-title>Influence of vitamin D on islet autoimmunity and beta-cell function in type 1 diabetes</article-title>. <source>Nutrients</source>. (<year>2019</year>) <volume>11</volume>(<issue>9</issue>):<fpage>2185</fpage>. <pub-id pub-id-type="doi">10.3390/nu11092185</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ahn</surname><given-names>J</given-names></name><name><surname>Yu</surname><given-names>K</given-names></name><name><surname>Stolzenberg-Solomon</surname><given-names>R</given-names></name><name><surname>Simon</surname><given-names>KC</given-names></name><name><surname>McCullough</surname><given-names>ML</given-names></name><name><surname>Gallicchio</surname><given-names>L</given-names></name><etal/></person-group> <article-title>Genome-wide association study of circulating vitamin D levels</article-title>. <source>Hum Mol Genet</source>. (<year>2010</year>) <volume>19</volume>(<issue>13</issue>):<fpage>2739</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1093/hmg/ddq155</pub-id><pub-id pub-id-type="pmid">20418485</pub-id></citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>TJ</given-names></name><name><surname>Zhang</surname><given-names>F</given-names></name><name><surname>Richards</surname><given-names>JB</given-names></name><name><surname>Kestenbaum</surname><given-names>B</given-names></name><name><surname>van Meurs</surname><given-names>JB</given-names></name><name><surname>Berry</surname><given-names>D</given-names></name><etal/></person-group> <article-title>Common genetic determinants of vitamin D insufficiency: a genome-wide association study</article-title>. <source>Lancet</source>. (<year>2010</year>) <volume>376</volume>(<issue>9736</issue>):<fpage>180</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(10)60588-0</pub-id><pub-id pub-id-type="pmid">20541252</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><collab>American Diabetes Association</collab>. <article-title>2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2020</article-title>. <source>Diabetes Care</source>. (<year>2020</year>) <volume>43</volume>(<issue>Suppl 1</issue>):<fpage>S14</fpage>&#x2013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.2337/dc20-S002</pub-id><pub-id pub-id-type="pmid">31862745</pub-id></citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Saggese</surname><given-names>G</given-names></name><name><surname>Vierucci</surname><given-names>F</given-names></name><name><surname>Prodam</surname><given-names>F</given-names></name><name><surname>Cardinale</surname><given-names>F</given-names></name><name><surname>Cetin</surname><given-names>I</given-names></name><name><surname>Chiappini</surname><given-names>E</given-names></name><etal/></person-group> <article-title>Vitamin D in pediatric age: consensus of the Italian pediatric society and the Italian society of preventive and social pediatrics, jointly with the Italian federation of pediatricians</article-title>. <source>Ital J Pediatr</source>. (<year>2018</year>) <volume>44</volume>(<issue>1</issue>):<fpage>51</fpage>. <pub-id pub-id-type="doi">10.1186/s13052-018-0488-7</pub-id><pub-id pub-id-type="pmid">29739471</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nguyen-Dumont</surname><given-names>T</given-names></name><name><surname>Calvez-Kelm</surname><given-names>FL</given-names></name><name><surname>Forey</surname><given-names>N</given-names></name><name><surname>McKay-Chopin</surname><given-names>S</given-names></name><name><surname>Garritano</surname><given-names>S</given-names></name><name><surname>Gioia-Patricola</surname><given-names>L</given-names></name><etal/></person-group> <article-title>Description and validation of high-throughput simultaneous genotyping and mutation scanning by high-resolution melting curve analysis</article-title>. <source>Hum Mutat</source>. (<year>2009</year>) <volume>30</volume>(<issue>6</issue>):<fpage>884</fpage>&#x2013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1002/humu.20949</pub-id><pub-id pub-id-type="pmid">19347964</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jiang</surname><given-names>X</given-names></name><name><surname>O&#x0027;Reilly</surname><given-names>PF</given-names></name><name><surname>Aschard</surname><given-names>H</given-names></name><name><surname>Hsu</surname><given-names>YH</given-names></name><name><surname>Richards</surname><given-names>JB</given-names></name><name><surname>Dupuis</surname><given-names>J</given-names></name><etal/></person-group> <article-title>Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels</article-title>. <source>Nat Commun</source>. (<year>2018</year>) <volume>9</volume>(<issue>1</issue>):<fpage>260</fpage>. <pub-id pub-id-type="doi">10.1038/s41467-017-02662-2</pub-id><pub-id pub-id-type="pmid">29343764</pub-id></citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Yu</surname><given-names>F</given-names></name><name><surname>Yu</surname><given-names>S</given-names></name><name><surname>Zhang</surname><given-names>D</given-names></name><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Han</surname><given-names>H</given-names></name><etal/></person-group> <article-title>Triangular relationship between Cyp2r1 gene polymorphism, serum 25(oh)D3 levels and T2dm in a Chinese rural population</article-title>. <source>Gene</source>. (<year>2018</year>) <volume>678</volume>:<fpage>172</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1016/j.gene.2018.08.006</pub-id><pub-id pub-id-type="pmid">30081191</pub-id></citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Freedman</surname><given-names>DM</given-names></name><name><surname>Cahoon</surname><given-names>EK</given-names></name><name><surname>Rajaraman</surname><given-names>P</given-names></name><name><surname>Major</surname><given-names>JM</given-names></name><name><surname>Doody</surname><given-names>MM</given-names></name><name><surname>Alexander</surname><given-names>BH</given-names></name><etal/></person-group> <article-title>Sunlight and other determinants of circulating 25-hydroxyvitamin D levels in black and white participants in a nationwide U.S. study</article-title>. <source>Am J Epidemiol</source>. (<year>2013</year>) <volume>177</volume>(<issue>2</issue>):<fpage>180</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1093/aje/kws223</pub-id><pub-id pub-id-type="pmid">23292956</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bouillon</surname><given-names>R</given-names></name></person-group>. <article-title>Genetic and racial differences in the vitamin D endocrine system</article-title>. <source>Endocrinol Metab Clin North Am</source>. (<year>2017</year>) <volume>46</volume>(<issue>4</issue>):<fpage>1119</fpage>&#x2013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.1016/j.ecl.2017.07.014</pub-id><pub-id pub-id-type="pmid">29080637</pub-id></citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Delvin</surname><given-names>E</given-names></name><name><surname>Souberbielle</surname><given-names>JC</given-names></name><name><surname>Viard</surname><given-names>JP</given-names></name><name><surname>Salle</surname><given-names>B</given-names></name></person-group>. <article-title>Role of vitamin D in acquired immune and autoimmune diseases</article-title>. <source>Crit Rev Clin Lab Sci</source>. (<year>2014</year>) <volume>51</volume>(<issue>4</issue>):<fpage>232</fpage>&#x2013;<lpage>47</lpage>. <pub-id pub-id-type="doi">10.3109/10408363.2014.901291</pub-id><pub-id pub-id-type="pmid">24813330</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hypp&#x00F6;nen</surname><given-names>E</given-names></name><name><surname>L&#x00E4;&#x00E4;r&#x00E4;</surname><given-names>E</given-names></name><name><surname>Reunanen</surname><given-names>A</given-names></name><name><surname>J&#x00E4;rvelin</surname><given-names>MR</given-names></name><name><surname>Virtanen</surname><given-names>SM</given-names></name></person-group>. <article-title>Intake of vitamin D and risk of type 1 diabetes: a birth-cohort study</article-title>. <source>Lancet</source>. (<year>2001</year>) <volume>358</volume>(<issue>9292</issue>):<fpage>1500</fpage>&#x2013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1016/s0140-6736(01)06580-1</pub-id></citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Najjar</surname><given-names>L</given-names></name><name><surname>Sutherland</surname><given-names>J</given-names></name><name><surname>Zhou</surname><given-names>A</given-names></name><name><surname>Hypponen</surname><given-names>E</given-names></name></person-group>. <article-title>Vitamin D and type 1 diabetes risk: a systematic review and meta-analysis of genetic evidence</article-title>. <source>Nutrients</source>. (<year>2021</year>) <volume>13</volume>(<issue>12</issue>):<fpage>4260</fpage>. <pub-id pub-id-type="doi">10.3390/nu13124260</pub-id><pub-id pub-id-type="pmid">34959812</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cooper</surname><given-names>JD</given-names></name><name><surname>Smyth</surname><given-names>DJ</given-names></name><name><surname>Walker</surname><given-names>NM</given-names></name><name><surname>Stevens</surname><given-names>H</given-names></name><name><surname>Burren</surname><given-names>OS</given-names></name><name><surname>Wallace</surname><given-names>C</given-names></name><etal/></person-group> <article-title>Inherited variation in vitamin D genes is associated with predisposition to autoimmune disease type 1 diabetes</article-title>. <source>Diabetes</source>. (<year>2011</year>) <volume>60</volume>(<issue>5</issue>):<fpage>1624</fpage>&#x2013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.2337/db10-1656</pub-id><pub-id pub-id-type="pmid">21441443</pub-id></citation></ref>
<ref id="B27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Almeida</surname><given-names>JT</given-names></name><name><surname>Rodrigues</surname><given-names>D</given-names></name><name><surname>Guimaraes</surname><given-names>J</given-names></name><name><surname>Lemos</surname><given-names>MC</given-names></name></person-group>. <article-title>Vitamin D pathway genetic variation and type 1 diabetes: a case-control association study</article-title>. <source>Genes (Basel)</source>. (<year>2020</year>) <volume>11</volume>(<issue>8</issue>)<fpage>897</fpage>. <pub-id pub-id-type="doi">10.3390/genes11080897</pub-id></citation></ref>
<ref id="B28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ramos-Lopez</surname><given-names>E</given-names></name><name><surname>Br&#x00FC;ck</surname><given-names>P</given-names></name><name><surname>Jansen</surname><given-names>T</given-names></name><name><surname>Herwig</surname><given-names>J</given-names></name><name><surname>Badenhoop</surname><given-names>K</given-names></name></person-group>. <article-title>Cyp2r1 (vitamin D 25-hydroxylase) gene is associated with susceptibility to type 1 diabetes and vitamin D levels in Germans</article-title>. <source>Diabetes Metab Res Rev</source>. (<year>2007</year>) <volume>23</volume>(<issue>8</issue>):<fpage>631</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1002/dmrr.719</pub-id><pub-id pub-id-type="pmid">17607662</pub-id></citation></ref>
<ref id="B29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hussein</surname><given-names>AG</given-names></name><name><surname>Mohamed</surname><given-names>RH</given-names></name><name><surname>Alghobashy</surname><given-names>AA</given-names></name></person-group>. <article-title>Synergism of Cyp2r1 and Cyp27b1 polymorphisms and susceptibility to type 1 diabetes in Egyptian children</article-title>. <source>Cell Immunol</source>. (<year>2012</year>) <volume>279</volume>(<issue>1</issue>):<fpage>42</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1016/j.cellimm.2012.08.006</pub-id><pub-id pub-id-type="pmid">23063903</pub-id></citation></ref>
<ref id="B30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Manousaki</surname><given-names>D</given-names></name><name><surname>Harroud</surname><given-names>A</given-names></name><name><surname>Mitchell</surname><given-names>RE</given-names></name><name><surname>Ross</surname><given-names>S</given-names></name><name><surname>Forgetta</surname><given-names>V</given-names></name><name><surname>Timpson</surname><given-names>NJ</given-names></name><etal/></person-group> <article-title>Vitamin D levels and risk of type 1 diabetes: a Mendelian randomization study</article-title>. <source>PLoS Med</source>. (<year>2021</year>) <volume>18</volume>(<issue>2</issue>):<fpage>e1003536</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pmed.1003536</pub-id><pub-id pub-id-type="pmid">33630834</pub-id></citation></ref>
<ref id="B31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dong</surname><given-names>AN</given-names></name><name><surname>Tan</surname><given-names>BH</given-names></name><name><surname>Pan</surname><given-names>Y</given-names></name><name><surname>Ong</surname><given-names>CE</given-names></name></person-group>. <article-title>The Cyp2r1 enzyme: structure, function, enzymatic properties and genetic polymorphism</article-title>. <source>J Pharm Pharm Sci</source>. (<year>2021</year>) <volume>24</volume>:<fpage>94</fpage>&#x2013;<lpage>112</lpage>. <pub-id pub-id-type="doi">10.18433/jpps31305</pub-id><pub-id pub-id-type="pmid">33626316</pub-id></citation></ref>
<ref id="B32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname><given-names>JG</given-names></name><name><surname>Ochalek</surname><given-names>JT</given-names></name><name><surname>Kaufmann</surname><given-names>M</given-names></name><name><surname>Jones</surname><given-names>G</given-names></name><name><surname>Deluca</surname><given-names>HF</given-names></name></person-group>. <article-title>Cyp2r1 is a major, but not exclusive, contributor to 25-hydroxyvitamin D production in vivo</article-title>. <source>Proc Natl Acad Sci</source>. (<year>2013</year>) <volume>110</volume>(<issue>39</issue>):<fpage>15650</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.1315006110</pub-id><pub-id pub-id-type="pmid">24019477</pub-id></citation></ref>
<ref id="B33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Manousaki</surname><given-names>D</given-names></name><name><surname>Dudding</surname><given-names>T</given-names></name><name><surname>Haworth</surname><given-names>S</given-names></name><name><surname>Hsu</surname><given-names>YH</given-names></name><name><surname>Liu</surname><given-names>CT</given-names></name><name><surname>Medina-G&#x00F3;mez</surname><given-names>C</given-names></name><etal/></person-group> <article-title>Low-frequency synonymous coding variation in Cyp2r1 has large effects on vitamin D levels and risk of multiple sclerosis</article-title>. <source>Am J Hum Genet</source>. (<year>2017</year>) <volume>101</volume>(<issue>2</issue>):<fpage>227</fpage>&#x2013;<lpage>38</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajhg.2017.06.014</pub-id><pub-id pub-id-type="pmid">28757204</pub-id></citation></ref></ref-list>
</back>
</article>