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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1119144</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Smoking is an independent but not a causal risk factor for moderate to severe psoriasis: A Mendelian randomization study of 105,912 individuals</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>N&#xe4;slund-Koch</surname>
<given-names>Charlotte</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="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1962164"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vedel-Krogh</surname>
<given-names>Signe</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bojesen</surname>
<given-names>Stig Egil</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Skov</surname>
<given-names>Lone</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1100210"/>
</contrib>
</contrib-group>    <aff id="aff1">
<sup>1</sup>
<institution>Department of Dermatology and Allergy, Copenhagen University Hospital - Herlev and Gentofte</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Clinical Medicine, University of Copenhagen</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Giuseppe Murdaca, University of Genoa, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Luca Navarini, Campus Bio-Medico University, Italy; Jacopo Ciaffi, Rizzoli Orthopedic Institute (IRCCS), Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Charlotte N&#xe4;slund-Koch, <email xlink:href="mailto:charlotte.sigrid.erika.naeslund.koch@regionh.dk">charlotte.sigrid.erika.naeslund.koch@regionh.dk</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1119144</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 N&#xe4;slund-Koch, Vedel-Krogh, Bojesen and Skov</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>N&#xe4;slund-Koch, Vedel-Krogh, Bojesen and Skov</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>Background</title>
<p>Smoking is strongly associated with higher risk of psoriasis in several observational studies; however, whether this association is causal or can be explained by confounding or reverse causation is not fully understood. Randomized controlled trials are the gold standard when examining causality; however, when this method is not feasible, the Mendelian randomization design is an alternative. Herein genetic variants can be used as robust proxies for modifiable exposures and thereby avoiding confounding and reverse causation.</p>
<p>In this study, we hypothesized that smoking is an independent and causal risk factor for psoriasis and tested this using a Mendelian randomization design.</p>
</sec>
<sec>
<title>Methods</title>
<p>We used data from the Copenhagen General Population Study including 105,912 individuals with full information on lifestyle factors, biochemistry, and genotype data. In total, 1,240 cases of moderate to severe psoriasis were included to investigate the association between smoking and psoriasis. To assess causality of the association, we used the genetic variant <italic>CHRNA3</italic> rs1051730, where the T-allele is strongly associated with high lifelong cumulative smoking, as a proxy for smoking.</p>
</sec>
<sec>
<title>Results</title>
<p>In observational analyses, the multivariable adjusted hazard ratio of developing moderate to severe psoriasis was 1.64 (95% confidence interval: 1.35-2.00) in ever smokers with &#x2264; 20 pack-years and 2.23 (1.82-2.73) in ever smokers with &gt; 20 pack-years compared to never smokers. In genetic analyses, the odds ratio of developing moderate to severe psoriasis was 1.05 (0.95-1.16) per <italic>CHRNA3</italic> rs10511730 T-allele in ever smokers.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Smoking was an independent risk factor for moderate to severe psoriasis in observational analyses. However, using a genetic variant as a robust proxy for smoking, we did not find this association to be causal.</p>
</sec>
</abstract>
<kwd-group>
<kwd>psoriatic disease</kwd>
<kwd>psoriasis vulgaris</kwd>
<kwd>tobacco consumption</kwd>
<kwd>cigarettes</kwd>
<kwd>observational</kwd>
<kwd>genetic</kwd>
<kwd>epidemiology</kwd>
<kwd>causality</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="8"/>
<word-count count="3511"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Psoriasis affects 125 million people worldwide and is a chronic inflammatory autoimmune skin disease (<xref ref-type="bibr" rid="B1">1</xref>) associated with high risk of several comorbidities such as metabolic syndrome and cardiovascular disease (<xref ref-type="bibr" rid="B2">2</xref>); comorbidities that are closely related to smoking (<xref ref-type="bibr" rid="B3">3</xref>). Globally, 1.14 billion people smoke and tobacco consumption is of huge concern to public health (<xref ref-type="bibr" rid="B4">4</xref>). Patients with psoriasis are more likely to be smokers (<xref ref-type="bibr" rid="B5">5</xref>) and in observational studies, smoking is associated with higher risk of developing psoriasis (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Furthermore, evidence suggests that prenatal tobacco exposure is associated with psoriasis in childhood (<xref ref-type="bibr" rid="B11">11</xref>). Taken together, evidence suggest that smoking is a strong risk factor for psoriasis. However, whether these findings reflect an actual causal association between smoking and psoriasis or can be explained by confounding or reverse causation is unclear. The gold standard to investigate causal associations is the randomized controlled trial. However, some exposures (e.g., smoking) cannot be examined in this type of study. Mendelian randomization (MR) is an epidemiological method which serves as a good alternative (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Based on Mendel&#xb4;s law of inheritance, genetic variants can be used as robust proxies for modifiable exposures (in this case smoking) and causal associations can therefore be explored in an observational setting. Normally, confounding and reverse causation are intrinsic limitations in observational studies; however, in MR studies genetic variants are used as proxies for modifiable exposures. Germline genetic variants are randomly distributed during conception and are therefore not associated with confounders. Furthermore, genes are not influenced by reverse causation because they are present from birth (<xref ref-type="bibr" rid="B12">12</xref>). The gene <italic>CHRNA3</italic> is found in the nicotinic acetylcholine receptor gene cluster on chromosome 15 (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The T-allele of this genetic variant is strongly associated with nicotine dependence and cumulative smoking (<xref ref-type="bibr" rid="B15">15</xref>), and has therefore been used as an instrument for smoking in several previous MR studies (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). Using this genetic variant as a proxy for high lifelong cumulative smoking, it is achievable to elucidate the causal association between smoking and psoriasis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). In this study, we hypothesized that smoking is an independent and causal risk factor for psoriasis and tested this using observational and genetic data from more than 100,000 individuals from the adult Danish general population.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Randomized controlled trial vs. Mendelian randomization. A Mendelian randomization study takes advantages of the natural distribution of genetic variants during conception, and therefore mimics the randomized controlled trial. Using the genetic variant <italic>CHRNA3</italic> rs1051730, where the T-allele is strongly associated with lifelong high cumulative smoking, as a proxy for smoking, confounding factors are evenly distributed and since genes are present from birth they are not influenced by reverse causation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1119144-g001.tif"/>
</fig>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study population</title>
<p>The Copenhagen General Population Study is a prospective general population study initiated in 2003 (<xref ref-type="bibr" rid="B21">21</xref>). Individuals between 20 and 100 years of age who lived in greater Copenhagen were randomly invited, using the unique Danish identification number assigned at birth (<xref ref-type="bibr" rid="B22">22</xref>). Participation rate was 43%. At baseline visit, participants answered a questionnaire about health status and lifestyle factors and were physical examined. Subsequently, they had blood drawn for biochemical and genetic analyzes. We included 105,912 individuals with complete information on smoking, of whom 104,794 were genotyped for <italic>CHRNA3</italic>. We only included individuals of Danish descent in the present study to avoid population stratification, which can be an issue in MR studies when examining individuals from different populations (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>All participants gave written informed consent. The study was conducted according to the Declaration of Helsinki and approved by the Danish ethical committee (H-KF-01-144/01).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Moderate to severe psoriasis</title>
<p>Individuals with psoriasis were identified using the World Health Organization International Classification of Diseases (WHO ICD) codes for psoriasis: ICD-8 696.09, 696.10, 696.19, and ICD-10 L40, compatible with moderate to severe psoriasis (<xref ref-type="bibr" rid="B23">23</xref>). In sensitivity analyses, we used a more limited definition of psoriasis (ICD-8 code 696.19; ICD-10 codes L40.0, L40.9). Information on diagnosis was collected from January 1977 to December 2018 from the Danish National Patient Registry (<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Smoking and genotyping</title>
<p>Information on smoking was self-reported at the time of enrollment and participants were grouped as never, former, or current smokers. Former and current smokers also reported information on duration of tobacco consumption, and amount of consumed tobacco (cigarettes, cheroots, cigars, pipe tobacco), allowing us to calculate cumulative tobacco consumption in pack-years, i.e., one pack-year = 20 cigarettes (or equivalent tobacco) smoked daily for a year.</p>
<p>Genotyping was blinded to smoking status and psoriasis. DNA was isolated from whole blood and stored at &#x2212;45&#xb0;C. <italic>CHRNA3</italic> rs1051730 was genotyped using TaqMan assays (Applied Biosystems, Foster City, CA, USA) and verified by DNA sequencing. Reruns were performed twice, and call rates were &gt;99.8%.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Covariates</title>
<p>Alcohol consumption, physical activity, and educational level were self-reported. High alcohol consumption was defined as alcohol consumption &gt;168 g/week for men and &gt;84 g/week for women. Low physical activity was defined as less than 2 hours of light physical activity per week in leisure time. Less than 3 years of education after mandatory primary school was considered a low education level. Body mass index (BMI) was calculated from measured weight and height (kg/m<sup>2</sup>). BMI was categorized according to WHO in groups &lt;18.5, 18.5-24.9, 25-29.9, 30-34.9, 35-39.9, and &#x2265;40 (<xref ref-type="bibr" rid="B25">25</xref>). Blood pressure was measured during the physical examination and hypertension was systolic blood pressure &#x2265;140 mmHg, and/or diastolic blood pressure &#x2265;90 mmHg, or self-reported use of antihypertensive treatment. Dyslipidemia was defined as total cholesterol &#x2265;5 mmol/L (190 mg/dL), non-fasting low-density lipoprotein (LDL) cholesterol &#x2265;3 mmol/L (115 mg/dL), or self-reported use of statins. Type 2 diabetes mellitus was defined as non-fasting plasma glucose &gt;11 mmol/L (198 mg/dL), a registered diabetes diagnosis prior to baseline using ICD-8 250 and ICD-10 E11, E13, and E14, self-reported diabetes, or self-reported use of antidiabetic medication.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analyses</title>
<p>For statistical analyses, we used Stata/SE 17.0 (StataCorp, College Station, Texas). A two-sided P-value &lt;0.05 was considered statistically significant. To test for genotyping or population sampling errors (<xref ref-type="bibr" rid="B12">12</xref>), a Chi-squared test was used to evaluate Hardy&#x2013;Weinberg equilibrium. Baseline characteristics at the day of enrollment were divided according to smoking status (never, former, current) and <italic>CHRNA3</italic> genotype (CC/CT/TT) and compared using Kruskal-Wallis test.</p>
<p>In observational analyses, risk of moderate to severe psoriasis according to smoking was assessed using Cox proportional hazard regression with age as underlying timescale (age-adjusted) and entry at study examination date (left truncation). Individuals with moderate to severe psoriasis prior to baseline (N=592) were excluded from the prospective analyses and individuals were followed until death (N=10,762), emigration (N=447), or end of follow-up which was 13<sup>th</sup> of December 2018. Risk was assessed in a model only adjusted for age and sex and in a multivariable adjusted model including age (timescale), sex, BMI category, hypertension (yes/no), dyslipidemia (yes/no), high alcohol consumption (yes/no), type 2 diabetes (yes/no), low physical activity (yes/no), and low education level (yes/no). Sex and age-adjusted linear regression analysis was used to determine the increase in pack-years per <italic>CHRNA3</italic> T-allele. In supplementary analyses, the association between smoking and moderate to severe psoriasis was estimated using logistic regression. Because genes are present from birth and therefore not influenced by confounding, we included all psoriasis cases from January 1977 to December 2018 in the genetic analyses estimating the risk of moderate to severe psoriasis as a function of <italic>CHRNA3</italic> genotype in a logistic regression model only adjusted for age and sex.</p>
<p>Data on covariates were 98.8% complete. We had full information on sex and age. We imputed missing values of covariates using multivariable regression for continuous variables and chained equation for categorical values based on age and sex. Analyses including only individuals with full information on covariates gave similar results to those reported.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>Of the 105,912 participants included, we identified 1,240 individuals with moderate to severe psoriasis of whom 592 had psoriasis before examination date and 648 developed psoriasis during follow-up. In prospective observational analyzes, median follow-up was 9 years (interquartile range 7-12). Baseline characteristics are shown in <xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>. Compared to never smokers, former and current smokers were older, less likely to be women, and had a higher alcohol consumption. Current smokers had a lower level of education and physical activity and a higher prevalence of dyslipidemia. Former smokers had a higher prevalence of type 2 diabetes and hypertension. There were no differences in baseline characteristics according to <italic>CHRNA3</italic> genotype after correction of multiple comparisons. We found no sign of genotyping or population sampling errors (Hardy-Weinberg equilibrium P-value = 0.84).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics at the day of enrollment according to smoking status (upper section) and genotype (lower section) in individuals from the Copenhagen General Population Study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="3" align="center">Smoking status</th>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Never smokers<break/>N = 45,435 (43%)</th>
<th valign="top" align="center">Former smokers<break/>N = 42,464 (40%)</th>
<th valign="top" align="center">Current smokers<break/>N = 18,013 (17%)</th>
<th valign="top" align="center">
<italic>P</italic> for comparison</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">56 (46-66)</td>
<td valign="top" align="center">60 (51-69)</td>
<td valign="top" align="center">57 (48-65)</td>
<td valign="top" align="center">1 &#xd7; 10<sup>-300</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Women, N (%)</td>
<td valign="top" align="center">26,829 (59)</td>
<td valign="top" align="center">22,056 (52)</td>
<td valign="top" align="center">9,401 (52)</td>
<td valign="top" align="center">2 &#xd7; 10<sup>-113</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index, kg/m<sup>2</sup>
</td>
<td valign="top" align="center">25 (23-28)</td>
<td valign="top" align="center">26 (24-29)</td>
<td valign="top" align="center">25 (23-28)</td>
<td valign="top" align="center">7 &#xd7; 10<sup>-153</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, N (%)</td>
<td valign="top" align="center">22,129 (52)</td>
<td valign="top" align="center">23,232 (58)</td>
<td valign="top" align="center">9,053 (53)</td>
<td valign="top" align="center">6 &#xd7; 10<sup>-70</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia, N (%)</td>
<td valign="top" align="center">32,661 (72)</td>
<td valign="top" align="center">30,965 (73)</td>
<td valign="top" align="center">13,734 (76)</td>
<td valign="top" align="center">6 &#xd7; 10<sup>-27</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Type 2 diabetes, N (%)</td>
<td valign="top" align="center">1,543 (3.4)</td>
<td valign="top" align="center">2,074 (4.9)</td>
<td valign="top" align="center">788 (4.4)</td>
<td valign="top" align="center">9 &#xd7; 10<sup>-28</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol consumption, units/week</td>
<td valign="top" align="center">84 (36-144)</td>
<td valign="top" align="center">120 (48-204)</td>
<td valign="top" align="center">108 (48-228)</td>
<td valign="top" align="center">1 &#xd7; 10<sup>-300</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Low physical activity, N (%)</td>
<td valign="top" align="center">2,268 (5.0)</td>
<td valign="top" align="center">2,270 (5.4)</td>
<td valign="top" align="center">1,992 (11.2)</td>
<td valign="top" align="center">9 &#xd7; 10<sup>-199</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">Low education level, N (%)</td>
<td valign="top" align="center">22,846 (50)</td>
<td valign="top" align="center">22,499 (53)</td>
<td valign="top" align="center">12,339 (69)</td>
<td valign="top" align="center">1 &#xd7; 10<sup>-300</sup>
</td>
</tr>
<tr>
<th valign="top" align="left" style="background-color:#777a71"/>
<th valign="top" colspan="3" align="center" style="background-color:#777a71">
<italic>CHRNA3</italic> genotype</th>
<th valign="top" align="center" style="background-color:#777a71"/>
</tr>
<tr>
<th valign="top" align="left" style="background-color:#777a71"/>
<th valign="top" align="center" style="background-color:#777a71">Non-carriers C/C<break/>N = 47,334 (45%)</th>
<th valign="top" align="center" style="background-color:#777a71">Heterozygotes C/T<break/>N = 46,169 (44%)</th>
<th valign="top" align="center" style="background-color:#777a71">Homozygotes TT<break/>N = 11,291 (11%)</th>
<th valign="top" align="center" style="background-color:#777a71">
<italic>P</italic> for comparison</th>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">58 (48-67)</td>
<td valign="top" align="center">58 (48-67)</td>
<td valign="top" align="center">58 (48-67)</td>
<td valign="top" align="center">0.47</td>
</tr>
<tr>
<td valign="top" align="left">Women, N (%)</td>
<td valign="top" align="center">26,010 (55)</td>
<td valign="top" align="center">25,446 (55)</td>
<td valign="top" align="center">6,186 (55)</td>
<td valign="top" align="center">0.81</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index, kg/m<sup>2</sup>
</td>
<td valign="top" align="center">26 (23-28)</td>
<td valign="top" align="center">26 (23-28)</td>
<td valign="top" align="center">26 (23-28)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, N (%)</td>
<td valign="top" align="center">24,319 (55)</td>
<td valign="top" align="center">23,665 (54)</td>
<td valign="top" align="center">5,846 (55)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia, N (%)</td>
<td valign="top" align="center">34,520 (73)</td>
<td valign="top" align="center">33,820 (73)</td>
<td valign="top" align="center">8,274 (73)</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">Type 2 diabetes, N (%)</td>
<td valign="top" align="center">2,043 (4.3)</td>
<td valign="top" align="center">1,837 (4.0)</td>
<td valign="top" align="center">462 (4.1)</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol consumption, units/week</td>
<td valign="top" align="center">96 (48-180)</td>
<td valign="top" align="center">96 (48-180)</td>
<td valign="top" align="center">96 (48-180)</td>
<td valign="top" align="center">0.60</td>
</tr>
<tr>
<td valign="top" align="left">Low physical activity, N (%)</td>
<td valign="top" align="center">2,842 (6.1)</td>
<td valign="top" align="center">2,893 (6.1)</td>
<td valign="top" align="center">707 (6.3)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">Low education level, N (%)</td>
<td valign="top" align="center">25,536 (54)</td>
<td valign="top" align="center">25,103 (55)</td>
<td valign="top" align="center">6,038 (54)</td>
<td valign="top" align="center">0.18</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables are presented as medians (interquartile range) and categorical variables as N (%).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<label>3.1</label>
<title>Observational analyses</title>
<p>In prospective analyses, we found a stepwise increase in risk of moderate to severe psoriasis according to smoking status with a multivariable adjusted hazard ratio of 1.62 (1.34-1.96) in former smokers and 2.44 (1.98-3.00) in current smokers compared to never smokers (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, upper panel). Risk of moderate to severe psoriasis according to cumulative smoking also increased in a stepwise matter with a multivariable adjusted hazard ratio of 1.64 (1.35-2.00) in ever smokers with &#x2264;20 pack-years and 2.23 (1.82-2.73) in ever smokers with &gt;20 pack-years compared to never smokers (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, lower panel). Risk estimates attenuated only slightly in multivariable adjusted analyses compared to analyses only adjusted for age and sex. Similar results were seen in cross-sectional analyses (compare <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> with <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Risk of moderate to severe psoriasis according to smoking status and cumulative smoking in prospective analyses in individuals from the Copenhagen General Population Study. Hazard ratios were multivariable adjusted for age (underlying timescale), sex, BMI, hypertension, dyslipidemia, high alcohol consumption, type 2 diabetes, low physical activity, and low education level. Individuals diagnosed with moderate to severe psoriasis before examination date were excluded from the analyzes. Abbreviations: N, number.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1119144-g002.tif"/>
</fig>
<p>Using a more limited definition of psoriasis, results were similar in both cross-sectional (compare <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> with <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>) and prospective analyses (compare <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> with <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Genetic analyses</title>
<p>Among the 104,794 individuals included in the genetic analyses, 47,334 were non-carriers (C/C), 46,169 were heterozygotes (C/T), and 11,291 were homozygotes (T/T). As anticipated, the <italic>CHRNA3</italic> genotype was associated with increased lifelong cumulative smoking. In concordance with previous literature, we found an increase of +1.6 pack-years per T-allele (P for trend=2 &#xd7; 10<sup>-40</sup>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;4</bold>
</xref>). However, we did not find an increased risk of moderate to severe psoriasis according to <italic>CHRNA3</italic> genotype in analyses of all individuals or in analyses stratified by smoking status with an odds ratio for psoriasis of 1.05 (0.95-1.16) per <italic>CHRNA3</italic> rs1051730 T-allele in ever smokers (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). In analyses of both ever and never smokers, the age and sex adjusted hazard ratio of psoriasis was 1.11 (0.98-1.25) in heterozygotes (C/T) and 0.99 (0.81-1.21) in homozygotes (T/T) compared to non-carriers (C/C) (<italic>P</italic> for trend = 0.45) and results were similar in analyzes of only ever smokers and never smokers. In sensitivity analyses, using the more limited definition of psoriasis, results were likewise similar (compare <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> with <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Risk of moderate to severe psoriasis as a function of the <italic>CHRNA3</italic> rs1051730 genotype in individuals from the Copenhagen General Population Study. Analyses were adjusted for age and sex. Upper panel: All individuals. Middle panel: Never smokers. Lower panel: Ever smokers.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1119144-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this study using both observational and genetic data from more than 100,000 individuals from the adult Danish general population, we found a 2.5-fold higher risk of moderate to severe psoriasis in current smokers compared to never smokers. However, using the genetic variant <italic>CHRNA3</italic> rs1051730 as a proxy for high lifelong cumulative smoking, we did not find indications of a causal relationship between smoking and psoriasis (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Take-home figure. Observationally, ever smokers (former and current smokers) have increased risk of developing moderate to severe psoriasis (1). However, using the genetic variant <italic>CHRNA3</italic> rs1051730 as a robust proxy for lifelong high cumulative smoking, we do not find an increased risk of moderate to severe psoriasis, indicating that smoking is an observational but not causal risk factors for moderate to severe psoriasis (2).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1119144-g004.tif"/>
</fig>
<p>Smoking could potentially be linked to psoriasis through several pathogenic pathways (<xref ref-type="bibr" rid="B26">26</xref>). Smoking causes oxidative stress which produces free radicals and induces the production of several proinflammatory cytokines involved in the pathogenesis of psoriasis (<xref ref-type="bibr" rid="B27">27</xref>). Additionally, smoking seems to modify the expression of several genes that confer increased risk of psoriasis such as <italic>HLA-Cw6</italic>, <italic>HLA-DQA1*0201</italic>, and <italic>CYP1A1</italic> (<xref ref-type="bibr" rid="B26">26</xref>). Moreover, results from epidemiological studies suggest an association between smoking and psoriasis. In the 80s and 90s, the first studies reporting associations between smoking and psoriasis were published (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>) and subsequently, several observational studies (especially case-control and cross-sectional studies) found that patients with psoriasis smoke more than the general population, and that smoking is associated with more severe psoriasis (<xref ref-type="bibr" rid="B5">5</xref>). Furthermore, prospective studies have reported an increased risk of incident psoriasis among current smokers compared to never smokers (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>) and Groot et&#xa0;al. reported increased risk of pediatric psoriasis in children of mothers who smoked during pregnancy, including increased risk per each additional 5 cigarettes smoked daily, indicating a dose-response relationship (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The above-mentioned findings from observational studies could reflect a causal relationship between smoking and psoriasis; however, the association could also be explained by residual/unmeasured confounding or reverse causation. Smoking is associated with various lifestyle and socioeconomic factors (<xref ref-type="bibr" rid="B32">32</xref>), including comorbid diseases (<xref ref-type="bibr" rid="B33">33</xref>) that are also associated with psoriasis. Although observational studies try to adjust for several potential confounders, residual and/or unmeasured confounding can never fully be ruled out, and this is also the case with reverse causation. For example, the psychological burden of having psoriasis (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>) may lead to increased intensity of smoking to tackle life with a chronic skin disease and thus may explain the observed dose-response relationship in cross-sectional studies. Theoretically, the gold standard of proving causality is the randomized controlled trial; however, it is not feasible nor ethical to do this with smoking and psoriasis. The MR study mimics the randomized controlled trial by using genetic variants as robust proxies for modifiable exposures (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The use of MR studies in medical science is increasing (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B36">36</xref>), also in the field of psoriasis (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>). Recently, two studies reported that smoking was a causal risk factor for psoriasis (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B43">43</xref>), which we could not confirm. Wei et&#xa0;al (<xref ref-type="bibr" rid="B38">38</xref>) used summary statistics in their 2-sample MR, without access to individual-level data. Thus, smokers and never smokers could not be examined separately. As smoking can only be a cause among smokers, this might explain the different results. Zhao et&#xa0;al (<xref ref-type="bibr" rid="B43">43</xref>) used a genetic instrument, constituted of 126 genotypes, but with a F-value of 15 as opposed to 32 in this study indicating that their instrument is less strong. Furthermore, our instrument is believed to have a rather clear mode of action: the genetic variant <italic>CHRNA3</italic> rs1051730 is found in the nicotinic acetylcholine receptor gene cluster CHRNA5-A3-B4 on chromosome 15, which codes for the cerebral nicotine receptor. This leads to a variation in nicotine craving among smokers, explaining the strong association between the genetic variant and the trait (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Strengths of this study includes the large study population and use of the unique Danish health registries. The Copenhagen General Population Study is a prospective cohort with a sample size of more than 100,000 from the general population with extensive amount of data on each participant, including genetic data free of confounding (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B44">44</xref>). The Danish National Patient Registry is one of the oldest national heath registries in the world, and includes all in- and outpatient visits at the Danish hospitals since 1977 (<xref ref-type="bibr" rid="B24">24</xref>). Nevertheless, some limitations should be discussed. First, we only included individuals of Danish descent to minimize risk of population stratification, possibly reducing the generalizability of our findings. Second, information on smoking was collected at the day of enrollment in the study and some participants might have quit smoking during follow-up but would be defined as current smokers in our analyses. Finally, we identified individuals with psoriasis using ICD-8 and ICD-10 codes, which mainly captures individuals with moderate to severe psoriasis (<xref ref-type="bibr" rid="B23">23</xref>). Individuals with mild psoriasis might therefore be in our &#x201c;non-psoriatic population&#x201d;, potentially diluting the observational association between smoking and psoriasis.</p>
<p>In conclusion, in this study using both observational and genetic data from more than 100,000 individuals from the adult Danish general population, we found that smoking is observationally associated with a 2.5-fold higher risk of moderate to severe psoriasis in prospective analyses adjusted for multiple confounding factors. However, using the genetic variant <italic>CHRNA3</italic> rs1051730, as an instrument for high lifelong cumulative smoking, we did not find indications of a causal relationship between smoking and moderate to severe psoriasis (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). These results suggest that smoking is an independent, but not a causal risk factor for psoriasis. However, even though we do not find a causal association between smoking and moderate to severe psoriasis, smoking restriction and cessation remain important to minimize risk of smoking-related comorbidities.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>    <p>The datasets presented in this article are not readily available because data from the Copenhagen General Population Study are subject to protection from the national Danish Data Protection Agency and we are not allowed to share the data ourselves. However, interested researchers can contact members of the steering committee to request data access. Additional data are available upon request and requests may be made to the corresponding author. Requests to access the datasets should be directed to <email xlink:href="mailto:charlotte.sigrid.erika.naeslund.koch@regionh.dk">charlotte.sigrid.erika.naeslund.koch@regionh.dk</email>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Danish ethical committees (H-KF-01-144/01). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>All authors designed the study. CN-K and SV-K did the statistical analyses. CN-K wrote the first draft of the manuscript and created figures and tables. All authors read, revised, and accepted the final article.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by Krista and Viggo Petersen&#xb4;s Foundation and the Danish National Psoriasis Foundation.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors are grateful for the important contributions of the staff and participants of the Copenhagen General Population Study.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>CN-K has served as an investigator for Galderma, Abbvie, LEO Pharma, and CSL Behring. LS has served as an investigator for AbbVie, Pfizer, Sanofi, Janssen Cilag, Boehringer Ingelheim, AstraZeneca, Eli Lilly, Novartis, Regeneron, Galderma and LEO Pharma.</p>
<p>LS has received research funding from Novartis, Bristol-Myers Squibb, AbbVie, Janssen Pharmaceuticals, the Danish National Psoriasis Foundation, the LEO Foundation, and the Kgl Hofbundtmager Aage Bang Foundation, and honoraria as consultant and/or speaker for AbbVie, Eli Lilly, Novartis, Pfizer, and LEO Pharma, Janssen Cilag, UCB, Almirall, Bristol-Myers Squibb, and Sanofi.</p>
<p>The remaining 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="s10" 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>
<sec id="s11" 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/fimmu.2023.1119144/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1119144/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Presentation_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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