<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2023.1111950</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>An inverse causal association between genetically predicted vitamin D and chronic obstructive pulmonary disease risk</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Lu</surname>
<given-names>Kening</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="fn0001" ref-type="author-notes">
<sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2125627/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Tan</surname>
<given-names>Jiang-Shan</given-names></name><xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="fn0001" ref-type="author-notes">
<sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1528404/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Tian-Qi</given-names></name><xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Yuan</surname>
<given-names>Jiaqin</given-names></name><xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1623534/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Wang</surname>
<given-names>Han</given-names></name><xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1544398/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname>
<given-names>Wenting</given-names></name><xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1609645/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R&#x0026;D Engineering Center (Ministry of Education), College of Agriculture, Nanjing Agricultural University</institution>, <addr-line>Nanjing, Jiangsu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Emergency Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Key Laboratory of Pulmonary Vascular Medicine, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Orthopedics, The Second People&#x2019;s Hospital of Yibin</institution>, <addr-line>Yibin</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Anesthesiology, The Second Affiliated Hospital of Hainan Medical University</institution>, <addr-line>Haikou</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0002" fn-type="edited-by">
<p>Edited by: Bingjun Qian, Jiangsu Vocational College of Medicine, China</p>
</fn>
<fn id="fn0003" fn-type="edited-by">
<p>Reviewed by: Peizhi Deng, Central South University, China; Edgar Abarca-Rojano, Instituto Polit&#x00E9;cnico Nacional, Mexico</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Wenting Wang, <email>wangwentingtn@sina.com</email></corresp>
<fn id="fn0001" fn-type="equal">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn id="fn0004" fn-type="other">
<p>This article was submitted to Nutritional Epidemiology, a section of the journal Frontiers in Nutrition</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1111950</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Lu, Tan, Li, Yuan, Wang and Wang.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Lu, Tan, Li, Yuan, Wang and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Aim</title>
<p>Observational studies have reported that levels of vitamin D were associated with the incidence of chronic obstructive pulmonary disease (COPD), but the relationship between them may have been confounded in previous studies. In this study, we aimed to determine the relationship between the levels of 25-hydroxyvitamin D (25OHD) and the risk of COPD by two-sample Mendelian randomization (MR) analysis.</p>
</sec>
<sec>
<title>Methods</title>
<p>Summary statistics for 25OHD and COPD in this study were obtained from the EBI (<italic>n</italic>&#x2009;=&#x2009;496,946) consortium and Finn (<italic>n</italic>&#x2009;=&#x2009;187,754) consortium. MR was adopted to explore the effect of the genetically predicted levels of 25OHD on the risk of COPD. Based on three assumptions of MR analysis, inverse variance weighting was used as the main analysis. To make our results more robust and reliable, MR Egger&#x2019;s intercept test, Cochran&#x2019;s Q test, funnel plot, and &#x201C;leave-one-out&#x201D; sensitivity analysis were used to assess the potential pleiotropy and heterogeneity in this study. Then, colocalization analysis and MR Steiger approaches were used to estimate the possible directions of estimates between them. Finally, we analyzed the causal associations between the four core genes (DHCR7, GC, CYP2R1, and CYP24A1) of vitamin D and the levels of 25OHD or the risk of COPD.</p>
</sec>
<sec>
<title>Results</title>
<p>Our results showed that each 1 standard deviation (SD) increase in the genetically predicted 25OHD level was associated with a 57.2% lower relative risk of COPD [odds ratio (OR): 0.428, 95% Cl: 0.279&#x2013;0.657, <italic>p</italic>&#x2009;=&#x2009;1.041&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>], and the above association was also verified by maximum likelihood (OR: 0.427, 95% Cl: 0.277&#x2013;0.657, <italic>p</italic>&#x2009;=&#x2009;1.084&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>), MR&#x2013;Egger (OR: 0.271, 95% CI: 0.176&#x2013;0.416, <italic>p</italic>&#x2009;=&#x2009;2.466&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>), MR-PRESSO (OR: 0.428, 95% Cl: 0.281&#x2013;0.652, <italic>p</italic>&#x2009;=&#x2009;1.421&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>) and MR-RAPS (OR: 0.457, 95% Cl: 0.293&#x2013;0.712, <italic>p</italic>&#x2009;=&#x2009;5.450&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>). Furthermore, colocalization analyses (rs3829251, PP.H4&#x2009;=&#x2009;0.99) and MR Steiger (&#x201C;TRUE&#x201D;) also showed a reverse association between them. Besides, the core genes of vitamin D also showed similar results except for CYP24A1.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our findings provide evidence for a reverse association between genetically predicted 25OHD levels and COPD risk. Taking measures to supplement 25OHD may help reduce the incidence of COPD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>GWAS</kwd>
<kwd>COPD</kwd>
<kwd>vitamin D</kwd>
<kwd>MR</kwd>
<kwd>two-sample</kwd>
</kwd-group>
<contract-num rid="cn1">81960669</contract-num>
<contract-num rid="cn2">GGH-SDEPCH-HP-20230101</contract-num>
<contract-sponsor id="cn1">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn2">science and technology project of Guozhong Healthcare</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="7"/>
<word-count count="4607"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Chronic obstructive pulmonary disease (COPD) is a common and currently treatable but incurable disease. The World Health Organization estimates that COPD will be the third leading cause of death globally by 2030, but that prediction has already come true ahead of time, causing 3.23 million global deaths in 2019, with a significant social and economic burden (<xref ref-type="bibr" rid="ref1">1</xref>). The disease is a progressive disorder characterized by persistent airflow restriction due to structural changes and chronic inflammation (<xref ref-type="bibr" rid="ref2">2</xref>). Patients with COPD experience a progressive decline in lung function, a decreased capacity for exercise, frequent disease exasperations, and the progress of extrapulmonary comorbidities such as cardiovascular disease, osteoporosis, and infections (<xref ref-type="bibr" rid="ref3">3</xref>). COPD poses a serious threat to the lives and health of patients. In addition, it also makes a huge economic burden on society and families because of the high cost of treatment despite great progress has been made in understanding its pathogenesis, natural history, and management, there still exist many open questions, especially concerning how to exactly control the risk factors.</p>
<p>25-Hydroxyvitamin D (25OHD) can best reflect human vitamin D status. A correlation has been demonstrated between 25OHD levels and the status of lung function, including COPD. For example, an age-matched controlled study reported that the patients in the COPD group had significantly lower vitamin D levels than those without the COPD group, suggesting that COPD patients have a higher vitamin D deficiency risk (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). Jorde et al. (<xref ref-type="bibr" rid="ref6">6</xref>) in a cross-sectional observational study found that there was a fair correlation between serum 25OHD and the current FEV1. Vitamin D-deficient patients had a greater FEV1 decrease than the others in the Norway cohort (<xref ref-type="bibr" rid="ref7">7</xref>). A prospective cohort study reported an association of lower plasma 25OHD levels with lower lung function, a faster decline in lung function, and a higher risk of COPD (<xref ref-type="bibr" rid="ref8">8</xref>). At present, the mechanism of how vitamin D reduces the risk of COPD is not clear. Some researchers have attempted to explain their relationship in terms of various immunomodulatory effects and airway smooth muscle remodeling (<xref ref-type="bibr" rid="ref9">9</xref>). However, most of the current reports are based on observational studies, which are vulnerable to reverse associations, confounding factors, or limited sample sizes.</p>
<p>Mendelian randomization (MR) is a genetic instrumental variable analysis in which observational data can be applied to reconfirm the correlation between genetically predicted exposure (25 OHD) and outcome (COPD) by using genetic variation associated with different levels of modifiable risk factors to assess the impact of risk factors on disease. Furthermore, MR study designs are less susceptible to confounding and reverse bias than observational studies because genetic variation will not be affected by disease state or other risks (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>Building on the previous genome-wide association study (GWAS), which was finished based on real detected 25OHD levels, we predicted the 25OHD levels based on our selected significant SNP loci. And then, the relationship between genetically predicted 25OHD levels and COPD was further explored by using a two-sample MR analysis in the present study.</p>
</sec>
<sec id="sec6" sec-type="methods">
<label>2.</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1.</label>
<title>Study design</title>
<p>In this study, we conducted a two-sample MR approach (<xref rid="fig1" ref-type="fig">Figure 1</xref>) (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Directed acyclic graphs for the classical Mendelian randomization designs.</p>
</caption>
<graphic xlink:href="fnut-10-1111950-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>2.2.</label>
<title>Data sources</title>
<sec id="sec9">
<label>2.2.1.</label>
<title>25-hydroxyvitamin D</title>
<p>To evaluate the causal correlation between genetically predicted 25OHD and COPD risk, single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) were acquired from the EBI consortium, which was a large GWAS (<xref ref-type="bibr" rid="ref12">12</xref>). This GWAS identified 496,946 individuals and 103 IVs for 25OHD by performing a genetic principal component cluster analysis (<xref ref-type="bibr" rid="ref13">13</xref>). In their original GWAS, they found that 103 SNPs were significantly associated with the serum 25OHD levels, which were measured in the actual work. Therefore, we used these SNPs to investigate the correlation between genetically predicted serum 25OHD levels and the risk of COPD by using two-sample MR (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>).</p>
</sec>
<sec id="sec10">
<label>2.2.2.</label>
<title>Chronic obstructive pulmonary disease</title>
<p>Summary-level genetics for COPD were acquired from the FinnGen biobank (Finn) consortium, including 1,031 COPD patients and 186,723 controls from European ancestry, which was acquirable at: <ext-link xlink:href="https://gwas.mrcieu.ac.uk/datasets/finn-b-COPD_INSUFFICIENCY/" ext-link-type="uri">https://gwas.mrcieu.ac.uk/datasets/finn-b-COPD_INSUFFICIENCY/</ext-link>.</p>
</sec>
</sec>
<sec id="sec11">
<label>2.3.</label>
<title>Genetic instrumental variables</title>
<p>We selected IVs that satisfy the following standard: (<xref ref-type="bibr" rid="ref1">1</xref>) SNPs highly associated with vitamin D had genome-wide significance (<italic>p</italic>&#x2009;&#x003C;&#x2009;5&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;8</sup>) (<xref ref-type="bibr" rid="ref2">2</xref>). To avoid linkage disequilibrium (LD) caused by vitamin D-related SNPs, LD must satisfy <italic>r</italic><sup>2</sup>&#x2009;&#x003C;&#x2009;0.001, window size&#x2009;=&#x2009;10,000&#x2009;kb, and minor allele frequency&#x2009;&#x003E;&#x2009;0.01. LD levels were assessed from the 1,000 Genomes Project with European samples (<xref ref-type="bibr" rid="ref3">3</xref>). To guarantee a strong relationship between IVs and 25OHD, we chose an <italic>F</italic>-statistic&#x2009;&#x003E;&#x2009;10 to avoid bias caused by weak IVs (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). To ensure the second MR hypothesis that genetic variants are independent of potential confounders, we conducted a query in the PhenoScanner database to exclude the contained IVs associated with known confounders. Finally, genes near each IV were extracted and marked for their functions (<xref ref-type="bibr" rid="ref18">18</xref>).</p>
</sec>
<sec id="sec12">
<label>2.4.</label>
<title>Mendelian randomization estimates</title>
<p>In this two-sample MR design, we used inverse variance weighting (IVW), weighted median, MR&#x2013;Egger, maximum likelihood, MR pleiotropic residual sum, and outlier test (MR-PRESSO) and MR using robust adjusted profile score (MR-RAPS) analyses (<xref ref-type="bibr" rid="ref19 ref20 ref21 ref22">19&#x2013;22</xref>).</p>
<p>First, we performed a preliminary analysis adopting the IVW method to detect the correlation between genetically predicted 25OHD and COPD. Second, to avoid potential weak IVs, horizontal pleiotropy, and sample overlap issues affecting this MR result, we further verified the relationship by using MR pleiotropy residual sum and outlier test (MR-PRESSO), MR-RAPS, Weighted median, MR Egger. MR&#x2013;Egger was based on the assumption of InSIDE to conduct a weighted linear regression of exposure results, but it is vulnerable to IVs. Weighted median can significantly improve the detection ability of effects and decrease type I errors. Compared with the weighted median, MR&#x2013;Egger, MR-RAPS is a new approach of MR analysis that accounts for uncorrelated and correlated pleiotropy and can reduce false positives and increase power. Third, there is generally no bias of weak IVs if the <italic>F</italic> statistic &#x003E;&#x2009;10, <italic>F</italic> statistics&#x2009;=&#x2009;(&#x03B2;/SE)<sup>2</sup> (<xref ref-type="bibr" rid="ref23">23</xref>). Finally, the corresponding odds ratio (OR) and 95% confidence interval (CI) are calculated to interpret the MR results.</p>
<p>Furthermore, we also tested whether genetically predicted 25OHD and COPD shared a variant in a specific region using symbiosis analysis with PP.H4 values &#x003E;&#x2009;0.75 were considered a mark of symbiosis (<xref ref-type="bibr" rid="ref24">24</xref>). In addition, we adopted the MR Steiger approach to estimate the orientation on exposure and outcome of each extracted IV (<xref ref-type="bibr" rid="ref25">25</xref>). The result of &#x201C;TRUE&#x201D; means predicting association in the expected orientation.</p>
<p>Besides, to further verify the reliability of the results, we used the four core genes of vitamin D for further analysis.</p>
</sec>
<sec id="sec13">
<label>2.5.</label>
<title>Pleiotropy and heterogeneity analysis</title>
<p>We applied different approaches to explore potential effects to ensure that IVs were independent of outcomes except for exposure. First, we adopted the funnel plot methods, leave-one-out sensitivity analysis, and Cochran Q statistic to analyze the heterogeneity of the contained IVs (<xref ref-type="bibr" rid="ref26">26</xref>). Second, we used MR&#x2013;Egger regression to account for horizontal pleiotropy. Finally, we apply global, outlier, and distortion tests as additional controls for pleiotropy adopting the MR-PRESSO R package.</p>
<p>All statistical analyses were conducted by R software (version 4.1.2), The Two-Sample MR (version 0.5.6), and MRPRESSO packages. <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec id="sec14" sec-type="results">
<label>3.</label>
<title>Results</title>
<sec id="sec15">
<label>3.1.</label>
<title>Genetic IVs for 25-hydroxyvitamin D</title>
<p>In this MR design, 103 LD-independent IVs that were significantly associated with 25OHD were included after the clumping process, with 2.70% of the variance explained by the included genetic instrument. Furthermore, the <italic>F</italic> values of all included IVs were greater than 30.45, the influence of weak IVs was effectively eliminated on MR analysis and the results were relatively stable (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
</sec>
<sec id="sec16">
<label>3.2.</label>
<title>MR analysis for The potential association</title>
<p>In IVW, each 1 SD in 25OHD level was associated with a 57.2% lower relative risk of COPD (OR: 0.428, 95% Cl: 0.279&#x2013;0.657, <italic>p</italic>&#x2009;=&#x2009;1.041&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>).</p>
<p>In addition, we found similar results in the other sensitivity analyses, such as MR&#x2013;Egger (OR: 0.271, 95% CI: 0.176&#x2013;0.416, <italic>p</italic>&#x2009;=&#x2009;2.466&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>), the maximum likelihood method (OR: 0.427, 95% Cl: 0.277&#x2013;0.657, <italic>p</italic>&#x2009;=&#x2009;1.084&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>), the MR-RAPS method (OR: 0.457, 95% Cl: 0.293&#x2013;0.712, <italic>p</italic>&#x2009;=&#x2009;5.450&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>), and the MR-PRESSO method (OR: 0.428, 95% Cl: 0.281&#x2013;0.652, <italic>p</italic>&#x2009;=&#x2009;1.421&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;4</sup>; <xref rid="fig2" ref-type="fig">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Association of Vitamin D with chronic obstructive pulmonary disease in two-sample Mendelian randomization.</p>
</caption>
<graphic xlink:href="fnut-10-1111950-g002.tif"/>
</fig>
</sec>
<sec id="sec17">
<label>3.3.</label>
<title>Heterogeneity and horizontal pleiotropy analysis</title>
<p>In this MR design, we adopted a range of approaches to estimate the heterogeneity and horizontal pleiotropy in our studies. Cochran&#x2019;s Q test reported that there was no heterogeneity between genetically predicted 25OHD and COPD (<italic>p</italic>&#x2009;=&#x2009;0.586). The MR&#x2013;Egger intercept test reported that there was no horizontal pleiotropy in this study (<italic>p</italic>&#x2009;=&#x2009;0.087). The &#x201C;leave-one-out&#x201D; sensitivity analysis reported that the IVs contained in our study had no significant effect on the results, indicating significant confidence in the results (<xref rid="fig3" ref-type="fig">Figure 3</xref>). The funnel plot reported a single asymmetric distribution of IVs, suggesting that the correlation is unlikely to be influenced by potential bias (<xref rid="fig4" ref-type="fig">Figure 4</xref>). The results of the MR-PRESSO analysis were consistent with those of IVW, showing that there were no strange outliers in the IV genes contained in our study.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Scatter plot to visualize causal effect of Vitamin D on the risk of chronic obstructive pulmonary disease.</p>
</caption>
<graphic xlink:href="fnut-10-1111950-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Funnel plots to visualize overall heterogeneity of Mendelian randomization (MR) estimates for the effect of Vitamin D on the risk of chronic obstructive pulmonary disease.</p>
</caption>
<graphic xlink:href="fnut-10-1111950-g004.tif"/>
</fig>
</sec>
<sec id="sec18">
<label>3.4.</label>
<title>Colocalization analyses and MR Steiger</title>
<p>Our results showed that genomic test regions included a shared variant for 25OHD and COPD (rs3829251, PP.H4&#x2009;=&#x2009;0.99). Moreover, using the MR Steiger approach, we also observed a reverse association between genetically predicted 25OHD-related IVs and COPD risk.</p>
</sec>
<sec id="sec19">
<label>3.5.</label>
<title>A further examination of the four core genes involved in the process of vitamin D</title>
<p>In the further analysis, we found that only three genes could be found in the &#x201C;ieu open GWAS project,&#x201D; including DHCR7, CYP2R1, and CYP24A1. As is shown in <xref rid="tab1" ref-type="table">Table 1</xref>, all of the three core genes showed similar results with the main analysis except for CYP24A1.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The effect of core genes involved in the process of vitamin D.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Core genes</th>
<th align="center" valign="top">ENSG ID</th>
<th align="center" valign="top">Traits ID</th>
<th align="center" valign="top">&#x03B2; of 25OHD on core gene</th>
<th align="center" valign="top">&#x03B2; of core gene on COPD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">DHCR7</td>
<td align="center" valign="top">ENSG00000172893</td>
<td align="center" valign="top">eqtl-a-ENSG00000172893</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">&#x2212;0.40</td>
</tr>
<tr>
<td align="left" valign="top">CYP2R1</td>
<td align="center" valign="top">ENSG00000186104</td>
<td align="center" valign="top">eqtl-a-ENSG00000186104</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">&#x2212;1.47</td>
</tr>
<tr>
<td align="left" valign="top">CYP24A1</td>
<td align="center" valign="top">ENSG00000019186</td>
<td align="center" valign="top">eqtl-a-ENSG00000019186</td>
<td align="center" valign="top">0.04</td>
<td align="center" valign="top">0.07</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="sec20" sec-type="discussions">
<label>4.</label>
<title>Discussion</title>
<p>Our study assessed the potential role of vitamin D levels on COPD risk by using a new genetic tool (two-sample MR design). The results showed that the COPD risk decreased as genetically predicted 25OHD levels increased, suggesting that vitamin D levels may play a key role in the occurrence and development of COPD.</p>
<p>Recently, there have been growing studies exploring the potential noncalcifying role of vitamin D and the association between vitamin D and chronic diseases, especially COPD. In prior researches, the correlation between vitamin D and the risk of COPD has been explored. Many observational studies have reported the complex correlations among the serum 25-OHD levels, systemic inflammation, disease severity, and progression (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). A prospective cohort study with 10,116 participants from the Copenhagen City Heart Study and 8,391 participants from the Copenhagen General Population Study also reported a correlation between lower plasma 25OHD levels with lower lung function, a faster decline in lung function, and a higher risk of COPD (HR: 1.58, 95% CI: 1.05&#x2013;2.40 and HR: 2.00, 95% CI: 1.19&#x2013;3.36 for the two studies, respectively) (<xref ref-type="bibr" rid="ref8">8</xref>). In the present study, we found a reverse relationship between genetically predicted 25OHD and COPD, with the relative risk of COPD decreasing with genetically predicted increasing 25OHD concentrations, which is consistent with previous observational findings. Even though we used the significant SNPs rather than the actual measured serum 25OHD levels, we can explore the association, rather than the observational association due to that these SNPs have been randomly assigned to the offspring before the disease occurred and few confounders can bias the conclusion of MR analysis, which is the most significant strength of MR analysis.</p>
<p>In the present MR, we only explored the association between genetically predicted increasing 25OHD concentrations and COPD risk. Therefore, whether patients with COPD may benefit from the supplementation with vitamin D cannot be further analyzed in our study. However, some other research found that timely supplementation with vitamin D can delay the course of COPD patients and improve their lung function. For example, Lehouck et al. (<xref ref-type="bibr" rid="ref28">28</xref>) reported that 30 participants with severe vitamin D deficiency at baseline (serum 25OHD level of 10&#x2009;ng/ml) showed a significant reduction in exacerbations in patients with a timely supplementation of vitamin D compared to the placebo group. Besides, Martineau et al. (<xref ref-type="bibr" rid="ref29">29</xref>) also indicated that the relationship between vitamin D deficiency in COPD patients reduced the risk of moderate or severe exacerbations.</p>
<p>Multiple mechanisms may contribute to the relationship between vitamin D and COPD. First, animal studies showed that vitamin D had positive effects on fibroblast proliferation, alveolar type II cells, alveolarization, and surfactant synthesis, and it may improve the lung function of patients and reduce the risk of CPOD (<xref ref-type="bibr" rid="ref30">30</xref>). Second, immunological studies found evidence for Th1 immunity and Th17 involvement in COPD (<xref ref-type="bibr" rid="ref5">5</xref>). For example, vitamin D deficiency may enhance inflammation, chemokine production <italic>via</italic> NF-&#x0198;B, parenchymal degradation, TNF-&#x03B1;, IL-18, histone acetylation, corticosteroid resistance, and matrix metalloproteinase (MMP)-9 production. Third, vitamin D also plays a role in remodeling airway smooth muscle to regulate lung function in COPD (<xref ref-type="bibr" rid="ref31">31</xref>). Besides, increasing 25OHD concentrations in COPD patients to the optimal range may reduce accompanying exacerbations and bacterial load (<xref ref-type="bibr" rid="ref32 ref33 ref34 ref35 ref36 ref37">32&#x2013;37</xref>).</p>
<p>Ahn et al. (<xref ref-type="bibr" rid="ref38">38</xref>) reported a significant relationship between rs3829251 and 25OHD (<italic>p</italic>&#x2009;=&#x2009;8.8&#x2009;&#x00D7;&#x2009;10<sup>&#x2212;7</sup>), and our colocalization analyses inferred that rs3829251, which is located in the 7-dehydrocholesterol reductase gene, might impact the concentration of human 25OHD by regulating the expression of NADSYN1/DHCR7, consequently reducing COPD risk. However, how the rs3829251 locus affects the occurrence of COPD by impacting 25OHD is currently unclear. Thus, more research is needed in the future.</p>
<p>A strength of this study is that we used an MR design to explore the relationship between vitamin D and the COPD risk by using summary data from the largest GWAS studies, which can minimize the residual confounding and possibly reversed bias compared to previous observational studies. Furthermore, we further validate our results by applying other approaches, such as MR-PARS, MR-PRESSO and maximum likelihood, and the consistency of the results makes our results more robust. In addition, we also adopted colocalization analyses and MR Steiger approaches to make our results more reliable.</p>
<p>However, some limitations in this two-sample MR study should be noted. First, the GWAS dataset used in this study is based on a population of European ancestry, and it is unclear whether the results apply to people of non-European ancestry. Second, we cannot completely rule out the possible interactions of gene&#x2013;environment or diet&#x2013;gene that influenced our results. In addition, it is difficult for us to evaluate whether Vitamin D supplementation influenced the rate of moderate or severe COPD exacerbations due to the original GWAS involving all the patients, including both moderate and severe COPD exacerbations. Finally, sensitivity analyses such as weighted median, MR&#x2013;Egger, MR-PRESSO, etc., were used to test and correct the potential horizontal pleiotropy; however, we were unable to address the issue of unobserved pleiotropy, which may affect the conclusion of evaluating the association between genetically predicted vitamin D and the risk of COPD.</p>
</sec>
<sec id="sec21" sec-type="conclusions">
<label>5.</label>
<title>Conclusion</title>
<p>Our study showed that vitamin D levels may be negatively associated with COPD risk. Further studies are needed to elucidate the underlying mechanism.</p>
</sec>
<sec id="sec22" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number (s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
</sec>
<sec id="sec23">
<title>Author contributions</title>
<p>KL and J-ST designed the study and wrote the manuscript. KL, J-ST, T-QL, JY, and HW contributed to the data analysis and data interpretation. WW contributed to the revision of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec24" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China Grant Awards (grant number 81960669) and the science and technology project of Guozhong Healthcare (grant number GGH-SDEPCH-HP-20230101).</p>
</sec>
<sec id="conf1" 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="sec100" sec-type="disclaimer">
<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>
</body>
<back>
<sec id="sec26" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2023.1111950/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2023.1111950/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.csv" id="SM1" mimetype="text/comma-separated-values" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rabe</surname> <given-names>KF</given-names></name> <name><surname>Watz</surname> <given-names>H</given-names></name></person-group>. <article-title>Chronic obstructive pulmonary disease</article-title>. <source>Lancet</source>. (<year>2017</year>) <volume>389</volume>:<fpage>1931</fpage>&#x2013;<lpage>40</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(17)31222-9</pub-id></citation>
</ref>
<ref id="ref2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jeffery</surname> <given-names>PK</given-names></name></person-group>. <article-title>Structural and inflammatory changes in COPD: a comparison with asthma</article-title>. <source>Thorax</source>. (<year>1998</year>) <volume>53</volume>:<fpage>129</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.1136/thx.53.2.129</pub-id>, PMID: <pub-id pub-id-type="pmid">9624299</pub-id></citation>
</ref>
<ref id="ref3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barnes</surname> <given-names>PJ</given-names></name> <name><surname>Celli</surname> <given-names>BR</given-names></name></person-group>. <article-title>Systemic manifestations and comorbidities of COPD</article-title>. <source>Eur Respir J</source>. (<year>2009</year>) <volume>33</volume>:<fpage>1165</fpage>&#x2013;<lpage>85</lpage>. doi: <pub-id pub-id-type="doi">10.1183/09031936.00128008</pub-id></citation>
</ref>
<ref id="ref4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gilbert</surname> <given-names>CR</given-names></name> <name><surname>Arum</surname> <given-names>SM</given-names></name> <name><surname>Smith</surname> <given-names>CM</given-names></name></person-group>. <article-title>Vitamin D deficiency and chronic lung disease</article-title>. <source>Can Respir J</source>. (<year>2009</year>) <volume>16</volume>:<fpage>75</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2009/829130</pub-id>, PMID: <pub-id pub-id-type="pmid">19557213</pub-id></citation>
</ref>
<ref id="ref5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Janssens</surname> <given-names>W</given-names></name> <name><surname>Lehouck</surname> <given-names>A</given-names></name> <name><surname>Carremans</surname> <given-names>C</given-names></name> <name><surname>Bouillon</surname> <given-names>R</given-names></name> <name><surname>Mathieu</surname> <given-names>C</given-names></name> <name><surname>Decramer</surname> <given-names>M</given-names></name></person-group>. <article-title>Vitamin D beyond bones inchronic obstructive pulmonary disease. Time to act</article-title>. <source>Am. J. Respir. Crit Care Med</source>. (<year>2009</year>) <volume>179</volume>:<fpage>630</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1164/rccm.200810-1576PP</pub-id>, PMID: <pub-id pub-id-type="pmid">19164701</pub-id></citation>
</ref>
<ref id="ref6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jorde</surname> <given-names>I</given-names></name> <name><surname>Stegemann-Koniszewski</surname> <given-names>S</given-names></name> <name><surname>Papra</surname> <given-names>K</given-names></name> <name><surname>Follner</surname> <given-names>S</given-names></name> <name><surname>Lux</surname> <given-names>A</given-names></name> <name><surname>Schreiber</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Association of serum vitamin D levels with disease severity, systemic inflammation, prior lung function loss and exacerbations in a cohort of patients with chronic obstructive pulmonary disease (COPD)</article-title>. <source>J Thorac Dis</source>. (<year>2021</year>) <volume>13</volume>:<fpage>3597</fpage>&#x2013;<lpage>609</lpage>. doi: <pub-id pub-id-type="doi">10.21037/jtd-20-3221</pub-id>, PMID: <pub-id pub-id-type="pmid">34277053</pub-id></citation>
</ref>
<ref id="ref7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Persson</surname> <given-names>LJ</given-names></name> <name><surname>Aanerud</surname> <given-names>M</given-names></name> <name><surname>Hiemstra</surname> <given-names>PS</given-names></name> <name><surname>Michelsen</surname> <given-names>AE</given-names></name> <name><surname>Ueland</surname> <given-names>T</given-names></name> <name><surname>Hardie</surname> <given-names>JA</given-names></name> <etal/></person-group>. <article-title>Vitamin D, vitamin D binding protein, and longitudinal outcomes in COPD</article-title>. <source>PLoS One</source>. (<year>2015</year>) <volume>10</volume>:<fpage>e0121622</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0121622</pub-id>, PMID: <pub-id pub-id-type="pmid">25803709</pub-id></citation>
</ref>
<ref id="ref8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Afzal</surname> <given-names>S</given-names></name> <name><surname>Lange</surname> <given-names>P</given-names></name> <name><surname>Bojesen</surname> <given-names>SE</given-names></name> <name><surname>Freiberg</surname> <given-names>JJ</given-names></name> <name><surname>Nordestgaard</surname> <given-names>BG</given-names></name></person-group>. <article-title>Plasma 25-hydroxy vitamin D, lung function and risk of chronic obstructive pulmonary disease</article-title>. <source>Thorax</source>. (<year>2014</year>) <volume>69</volume>:<fpage>24</fpage>&#x2013;<lpage>31</lpage>. doi: <pub-id pub-id-type="doi">10.1136/thoraxjnl-2013-203682</pub-id>, PMID: <pub-id pub-id-type="pmid">23908128</pub-id></citation>
</ref>
<ref id="ref9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pfeffer</surname> <given-names>PE</given-names></name> <name><surname>Hawrylowicz</surname> <given-names>CM</given-names></name></person-group>. <article-title>Vitamin D and lung disease</article-title>. <source>Thorax</source>. (<year>2012</year>) <volume>67</volume>:<fpage>1018</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1136/thoraxjnl-2012-202139</pub-id></citation>
</ref>
<ref id="ref10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan</surname> <given-names>JS</given-names></name> <name><surname>Ren</surname> <given-names>JM</given-names></name> <name><surname>Fan</surname> <given-names>L</given-names></name> <name><surname>Wei</surname> <given-names>Y</given-names></name> <name><surname>Hu</surname> <given-names>S</given-names></name> <name><surname>Zhu</surname> <given-names>SS</given-names></name> <etal/></person-group>. <article-title>Genetic predisposition of anti-cytomegalovirus immunoglobulin G levels and the risk of 9 cardiovascular diseases</article-title>. <source>Front Cell Infect Microbiol</source>. (<year>2022</year>) <volume>12</volume>:<fpage>884298</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fcimb.2022.884298</pub-id>, PMID: <pub-id pub-id-type="pmid">35832381</pub-id></citation>
</ref>
<ref id="ref11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Davies</surname> <given-names>NM</given-names></name> <name><surname>Holmes</surname> <given-names>MV</given-names></name> <name><surname>Davey</surname> <given-names>SG</given-names></name></person-group>. <article-title>Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians</article-title>. <source>BMJ</source>. (<year>2018</year>) <volume>362</volume>:<fpage>k601</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.k601</pub-id></citation>
</ref>
<ref id="ref12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Revez</surname> <given-names>JA</given-names></name> <name><surname>Lin</surname> <given-names>T</given-names></name> <name><surname>Qiao</surname> <given-names>Z</given-names></name> <name><surname>Xue</surname> <given-names>AL</given-names></name> <name><surname>Holtz</surname> <given-names>Y</given-names></name> <name><surname>Zhu</surname> <given-names>ZH</given-names></name> <etal/></person-group>. <article-title>Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration</article-title>. <source>Nat Commun</source>. (<year>2020</year>) <volume>11</volume>:<fpage>1647</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-020-15421-7</pub-id>, PMID: <pub-id pub-id-type="pmid">32242144</pub-id></citation>
</ref>
<ref id="ref13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>MacGregor</surname> <given-names>S</given-names></name> <name><surname>Ong</surname> <given-names>JSAJ</given-names></name> <name><surname>An</surname> <given-names>J</given-names></name> <name><surname>Han</surname> <given-names>X</given-names></name> <name><surname>Zhou</surname> <given-names>T</given-names></name> <name><surname>Siggs</surname> <given-names>OM</given-names></name> <etal/></person-group>. <article-title>Genome-wide association study of intraocular pressure uncovers new pathways to glaucoma</article-title>. <source>Nat Genet</source>. (<year>2018</year>) <volume>50</volume>:<fpage>1067</fpage>&#x2013;<lpage>71</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41588-018-0176-y</pub-id>, PMID: <pub-id pub-id-type="pmid">30054594</pub-id></citation>
</ref>
<ref id="ref14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Burgess</surname> <given-names>S</given-names></name> <name><surname>Butterworth</surname> <given-names>A</given-names></name> <name><surname>Thompson</surname> <given-names>SG</given-names></name></person-group>. <article-title>Mendelian randomization analysis with multiple genetic variants using summarized data</article-title>. <source>Genet Epidemiol</source>. (<year>2013</year>) <volume>37</volume>:<fpage>658</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.1002/gepi.21758</pub-id>, PMID: <pub-id pub-id-type="pmid">24114802</pub-id></citation>
</ref>
<ref id="ref15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Palmer</surname> <given-names>TM</given-names></name> <name><surname>Lawlor</surname> <given-names>DA</given-names></name> <name><surname>Harbord</surname> <given-names>RM</given-names></name> <name><surname>Sheehan</surname> <given-names>NA</given-names></name> <name><surname>Tobias</surname> <given-names>JH</given-names></name> <name><surname>Timpson</surname> <given-names>NJ</given-names></name> <etal/></person-group>. <article-title>Using multiple genetic variants as instrumental variables for modifiable risk factors</article-title>. <source>Stat Methods Med Res</source>. (<year>2012</year>) <volume>21</volume>:<fpage>223</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0962280210394459</pub-id>, PMID: <pub-id pub-id-type="pmid">21216802</pub-id></citation>
</ref>
<ref id="ref16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chang</surname> <given-names>CC</given-names></name> <name><surname>Chow</surname> <given-names>CC</given-names></name> <name><surname>Tellier</surname> <given-names>LC</given-names></name> <name><surname>Vattikuti</surname> <given-names>S</given-names></name> <name><surname>Purcell</surname> <given-names>SM</given-names></name> <name><surname>Lee</surname> <given-names>JJ</given-names></name></person-group>. <article-title>Second-generation PLINK: rising to the challenge of larger and richer datasets</article-title>. <source>Gigascience</source>. (<year>2015</year>) <volume>4</volume>:<fpage>7</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13742-015-0047-8</pub-id>, PMID: <pub-id pub-id-type="pmid">25722852</pub-id></citation>
</ref>
<ref id="ref17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bowden</surname> <given-names>J</given-names></name> <name><surname>Davey Smith</surname> <given-names>G</given-names></name> <name><surname>Haycock</surname> <given-names>PC</given-names></name> <name><surname>Burgess</surname> <given-names>S</given-names></name></person-group>. <article-title>Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator</article-title>. <source>Genet Epidemiol</source>. (<year>2016</year>) <volume>40</volume>:<fpage>304</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1002/gepi.21965</pub-id>, PMID: <pub-id pub-id-type="pmid">27061298</pub-id></citation>
</ref>
<ref id="ref18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan</surname> <given-names>JS</given-names></name> <name><surname>Liu</surname> <given-names>NN</given-names></name> <name><surname>Guo</surname> <given-names>TT</given-names></name> <name><surname>Hu</surname> <given-names>S</given-names></name> <name><surname>Hua</surname> <given-names>L</given-names></name></person-group>. <article-title>Genetically predicted obesity and risk of deep vein thrombosis</article-title>. <source>Thromb Res</source>. (<year>2021</year>) <volume>207</volume>:<fpage>16</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.thromres.2021.08.026</pub-id>, PMID: <pub-id pub-id-type="pmid">34507265</pub-id></citation>
</ref>
<ref id="ref19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Verbanck</surname> <given-names>M</given-names></name> <name><surname>Chen</surname> <given-names>CY</given-names></name> <name><surname>Neale</surname> <given-names>B</given-names></name> <name><surname>Do</surname> <given-names>R</given-names></name></person-group>. <article-title>Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases</article-title>. <source>Nat Genet</source>. (<year>2018</year>) <volume>50</volume>:<fpage>693</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1002/gepi.21965</pub-id>, PMID: <pub-id pub-id-type="pmid">29686387</pub-id></citation>
</ref>
<ref id="ref20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bowden</surname> <given-names>J</given-names></name> <name><surname>Davey Smith</surname> <given-names>G</given-names></name> <name><surname>Burgess</surname> <given-names>S</given-names></name></person-group>. <article-title>Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression</article-title>. <source>Int J Epidemiol</source>. (<year>2015</year>) <volume>44</volume>:<fpage>512</fpage>&#x2013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ije/dyv080</pub-id>, PMID: <pub-id pub-id-type="pmid">26050253</pub-id></citation>
</ref>
<ref id="ref21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>WT</given-names></name> <name><surname>Tan</surname> <given-names>JS</given-names></name> <name><surname>Hua</surname> <given-names>L</given-names></name> <name><surname>Zhu</surname> <given-names>S</given-names></name> <name><surname>Lin</surname> <given-names>H</given-names></name> <name><surname>Wu</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Genetically predicted obesity causally increased the risk of hypertension disorders in pregnancy</article-title>. <source>Front Cardiovasc Med</source>. (<year>2022</year>) <volume>9</volume>:<fpage>888982</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fcvm.2022.888982</pub-id>, PMID: <pub-id pub-id-type="pmid">35694671</pub-id></citation>
</ref>
<ref id="ref22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Giambartolomei</surname> <given-names>C</given-names></name> <name><surname>Vukcevic</surname> <given-names>D</given-names></name> <name><surname>Schadt</surname> <given-names>EE</given-names></name> <name><surname>Franke</surname> <given-names>L</given-names></name> <name><surname>Hingorani</surname> <given-names>AD</given-names></name> <name><surname>Wallace</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Bayesian test for colocalisation between pairs of genetic association studies using summary statistics</article-title>. <source>PLoS Genet</source>. (<year>2014</year>) <volume>10</volume>:<fpage>e1004383</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pgen.1004383</pub-id>, PMID: <pub-id pub-id-type="pmid">24830394</pub-id></citation>
</ref>
<ref id="ref23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hemani</surname> <given-names>G</given-names></name> <name><surname>Tilling</surname> <given-names>K</given-names></name> <name><surname>Davey</surname> <given-names>SG</given-names></name></person-group>. <article-title>Orienting the causal relationship between imprecisely measured traits using GWAS summary data</article-title>. <source>PLoS Genet</source>. (<year>2017</year>) <volume>13</volume>:<fpage>e1007081</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pgen.1007081</pub-id>, PMID: <pub-id pub-id-type="pmid">29149188</pub-id></citation>
</ref>
<ref id="ref24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Egger</surname> <given-names>M</given-names></name> <name><surname>Smith</surname> <given-names>GD</given-names></name> <name><surname>Phillips</surname> <given-names>AN</given-names></name></person-group>. <article-title>Meta-analysis: principles and procedures</article-title>. <source>BMJ</source>. (<year>1997</year>) <volume>315</volume>:<fpage>1533</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.315.7121.1533</pub-id>, PMID: <pub-id pub-id-type="pmid">9432252</pub-id></citation>
</ref>
<ref id="ref25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan</surname> <given-names>JS</given-names></name> <name><surname>Liu</surname> <given-names>NN</given-names></name> <name><surname>Guo</surname> <given-names>TT</given-names></name> <name><surname>Hu</surname> <given-names>S</given-names></name> <name><surname>Hua</surname> <given-names>L</given-names></name></person-group>. <article-title>Genetic predisposition to COVID-19 may increase the risk of hypertension disorders in pregnancy: a two-sample Mendelian randomization study</article-title>. <source>Pregnancy Hypertens</source>. (<year>2021</year>) <volume>26</volume>:<fpage>17</fpage>&#x2013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.preghy.2021.08.11</pub-id>, PMID: <pub-id pub-id-type="pmid">34428710</pub-id></citation>
</ref>
<ref id="ref26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan</surname> <given-names>JS</given-names></name> <name><surname>Liu</surname> <given-names>N</given-names></name> <name><surname>Guo</surname> <given-names>TT</given-names></name> <name><surname>Hu</surname> <given-names>S</given-names></name> <name><surname>Hua</surname> <given-names>L</given-names></name> <name><surname>Qian</surname> <given-names>Q</given-names></name></person-group>. <article-title>Genetic predispositions between COVID-19 and three cardio-cerebrovascular diseases</article-title>. <source>Front Genet</source>. (<year>2022</year>) <volume>13</volume>:<fpage>743905</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fgene.2022.743905</pub-id>, PMID: <pub-id pub-id-type="pmid">35368685</pub-id></citation>
</ref>
<ref id="ref27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname> <given-names>M</given-names></name> <name><surname>Wang</surname> <given-names>T</given-names></name> <name><surname>Wang</surname> <given-names>C</given-names></name> <name><surname>Ji</surname> <given-names>Y</given-names></name></person-group>. <article-title>The association between vitamin D and COPD risk, severity, and exacerbation: an updated systematic review and meta-analysis</article-title>. <source>Int J Chron Obstruct Pulmon Dis</source>. (<year>2016</year>) <volume>11</volume>:<fpage>2597</fpage>&#x2013;<lpage>607</lpage>. doi: <pub-id pub-id-type="doi">10.2147/COPD.S101382</pub-id>, PMID: <pub-id pub-id-type="pmid">27799758</pub-id></citation>
</ref>
<ref id="ref28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lehouck</surname> <given-names>A</given-names></name> <name><surname>Mathieu</surname> <given-names>C</given-names></name> <name><surname>Carremans</surname> <given-names>C</given-names></name> <name><surname>Baeke</surname> <given-names>F</given-names></name> <name><surname>Verhaegen</surname> <given-names>J</given-names></name> <name><surname>Van Eldere</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>High doses of vitamin D to reduce exacerbations in chronic obstructive pulmonary disease: a randomized trial</article-title>. <source>Ann Intern Med</source>. (<year>2012</year>) <volume>156</volume>:<fpage>105</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.7326/0003-4819-156-2-201201170-00004</pub-id>, PMID: <pub-id pub-id-type="pmid">22250141</pub-id></citation>
</ref>
<ref id="ref29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Martineau</surname> <given-names>AR</given-names></name> <name><surname>James</surname> <given-names>WY</given-names></name> <name><surname>Hooper</surname> <given-names>RL</given-names></name> <name><surname>Barnes</surname> <given-names>N</given-names></name> <name><surname>Jolliffe</surname> <given-names>DA</given-names></name> <name><surname>Greiller</surname> <given-names>CL</given-names></name> <etal/></person-group>. <article-title>Vitamin D3 supplementation in patients with chronic obstructive pulmonary disease (ViDiCO): a multicentre, double-blind, randomised controlled trial</article-title>. <source>Lancet Respir Med</source>. (<year>2015</year>) <volume>3</volume>:<fpage>120</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S2213-2600(14)70255-3</pub-id>, PMID: <pub-id pub-id-type="pmid">25476069</pub-id></citation>
</ref>
<ref id="ref30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lykkedegn</surname> <given-names>S</given-names></name> <name><surname>Sorensen</surname> <given-names>XGL</given-names></name> <name><surname>Beck-Nielsen</surname> <given-names>SS</given-names></name> <name><surname>Chris-tesen</surname> <given-names>HT</given-names></name></person-group>. <article-title>The impact of vitamin D on fetal an neonatal lung maturation. A systematic review</article-title>. <source>Am J Physiol Lung Cell Mol Physiol</source>. (<year>2015</year>) <volume>308</volume>:<fpage>L587</fpage>&#x2013;<lpage>602</lpage>. doi: <pub-id pub-id-type="doi">10.1152/ajplung.00117.2014</pub-id>, PMID: <pub-id pub-id-type="pmid">25595644</pub-id></citation>
</ref>
<ref id="ref31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Banerjee</surname> <given-names>A</given-names></name> <name><surname>Panettieri</surname> <given-names>R</given-names> <suffix>Jr</suffix></name></person-group>. <article-title>Vitamin D modulates airways smooth muscle function in COPD</article-title>. <source>Curr OpinPharmacol</source>. (<year>2012</year>) <volume>12</volume>:<fpage>266</fpage>&#x2013;<lpage>74</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.coph.2012.01.014</pub-id>, PMID: <pub-id pub-id-type="pmid">22365730</pub-id></citation>
</ref>
<ref id="ref32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>TT</given-names></name> <name><surname>Nestel</surname> <given-names>FP</given-names></name> <name><surname>Bourdeau</surname> <given-names>V</given-names></name> <name><surname>Nagai</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>Q</given-names></name> <name><surname>Liao</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Cutting edge: 1, 25-dihydroxyvitamin D3 is a direct inducer of antimicrobial peptide gene expression</article-title>. <source>J Immunol</source>. (<year>2004</year>) <volume>173</volume>:<fpage>2909</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.4049/jimmunol.173.5.2909</pub-id>, PMID: <pub-id pub-id-type="pmid">15322146</pub-id></citation>
</ref>
<ref id="ref33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>PT</given-names></name> <name><surname>Stenger</surname> <given-names>S</given-names></name> <name><surname>Li</surname> <given-names>H</given-names></name> <name><surname>Wenzel</surname> <given-names>L</given-names></name> <name><surname>Tan</surname> <given-names>BH</given-names></name> <name><surname>Krutzik</surname> <given-names>SR</given-names></name> <etal/></person-group>. <article-title>Toll-like receptor triggering of a vitamin D-mediated human antimicrobial response</article-title>. <source>Science</source>. (<year>2006</year>) <volume>311</volume>:<fpage>1770</fpage>&#x2013;<lpage>3</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1123933</pub-id>, PMID: <pub-id pub-id-type="pmid">16497887</pub-id></citation>
</ref>
<ref id="ref34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gordon</surname> <given-names>YJ</given-names></name> <name><surname>Huang</surname> <given-names>LC</given-names></name> <name><surname>Romanowski</surname> <given-names>EG</given-names></name> <name><surname>Yates</surname> <given-names>KA</given-names></name> <name><surname>Proske</surname> <given-names>RJ</given-names></name> <name><surname>McDermott</surname> <given-names>AM</given-names></name></person-group>. <article-title>Human cathelicidin (LL-37), a multifunctional peptide, is expressed by ocular surface epithelia and has potent antibacterial and antiviral activity</article-title>. <source>Curr Eye Res</source>. (<year>2005</year>) <volume>30</volume>:<fpage>385</fpage>&#x2013;<lpage>94</lpage>. doi: <pub-id pub-id-type="doi">10.1080/02713680590934111</pub-id>, PMID: <pub-id pub-id-type="pmid">16020269</pub-id></citation>
</ref>
<ref id="ref35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Turner</surname> <given-names>J</given-names></name> <name><surname>Cho</surname> <given-names>Y</given-names></name> <name><surname>Dinh</surname> <given-names>NN</given-names></name> <name><surname>Waring</surname> <given-names>AJ</given-names></name> <name><surname>Lehrer</surname> <given-names>RI</given-names></name></person-group>. <article-title>Activities of LL-37, a cathelin-associated antimicrobial peptide of human neutrophils</article-title>. <source>Antimicrob Agents Chemother</source>. (<year>1998</year>) <volume>42</volume>:<fpage>2206</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1128/AAC.42.9.2206</pub-id>, PMID: <pub-id pub-id-type="pmid">9736536</pub-id></citation>
</ref>
<ref id="ref36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bals</surname> <given-names>R</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Zasloff</surname> <given-names>M</given-names></name> <name><surname>Wilson</surname> <given-names>JM</given-names></name></person-group>. <article-title>The peptide antibiotic LL-37/hCAP-18 is expressed in epithelia of the human lung where it has broad antimicrobial activity at the airway surface</article-title>. <source>Proc Natl Acad Sci U S A</source>. (<year>1998</year>) <volume>95</volume>:<fpage>9541</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.95.16.9541</pub-id>, PMID: <pub-id pub-id-type="pmid">9689116</pub-id></citation>
</ref>
<ref id="ref37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zasloff</surname> <given-names>M</given-names></name></person-group>. <article-title>Fighting infections with vitamin D</article-title>. <source>Nat Med</source>. (<year>2006</year>) <volume>12</volume>:<fpage>388</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nm0406-388</pub-id></citation>
</ref>
<ref id="ref38">
<label>38.</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>:<fpage>2739</fpage>&#x2013;<lpage>45</lpage>. doi: <pub-id pub-id-type="doi">10.1093/hmg/ddq155</pub-id>, PMID: <pub-id pub-id-type="pmid">20418485</pub-id></citation>
</ref>
</ref-list>
</back>
</article>