<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="brief-report" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.15831.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Brief Report</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Evaluating the associations of race, ethnicity, and food allergens in the development of childhood asthma: Re-analysis of publicly available retrospective cross-sectional cohort data</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: peer review discontinued]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Abdalhuk</surname>
                        <given-names>Musheer</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Jordan</surname>
                        <given-names>Angel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Wagimin</surname>
                        <given-names>Roghan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Stamitoles</surname>
                        <given-names>Charles</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bellinger</surname>
                        <given-names>Shandra</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Baguley</surname>
                        <given-names>Joshua</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Srour</surname>
                        <given-names>Hayat</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Fomennko</surname>
                        <given-names>Ruslan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sutton</surname>
                        <given-names>Jennifer</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Santana</surname>
                        <given-names>Melany</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Marull</surname>
                        <given-names>Armando</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Rivera-Mariani</surname>
                        <given-names>F&#x00e9;lix E.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6671-0174</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>College of Biomedical Sciences, Larkin Unversity, Miami, FL, 33169, USA</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:frivera@ularkin.org">frivera@ularkin.org</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>7</day>
                <month>8</month>
                <year>2018</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2018</year>
            </pub-date>
            <volume>7</volume>
            <elocation-id>1209</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>3</day>
                    <month>8</month>
                    <year>2018</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2018 Abdalhuk M et al.</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/7-1209/pdf"/>
            <abstract>
                <p>Asthma is among the most prevalent chronic diseases affecting children worldwide. Sociodemographic factors, such as race and ethnicity, as well as food allergens and their association with asthma, have been extensively studied in an individual manner. Less is known about how food allergens can influence the effect of sociodemographic factors on childhood asthma prevalence. In this study, we re-analyzed a publicly available retrospective cross-sectional cohort dataset of childhood asthma. Multiple logistic regression of asthma by race and ethnicity, before and after adjustment by the most prevalent allergens, was implemented to the dataset. Hispanic individuals showed a higher odds risk (ORs; 1.30, CI 1.26 &#x2013; 1.35) of asthma than Non-Hispanic individuals (0.24, CI 0.23 &#x2013; 0.25), but after adjustment by most frequent food allergens reactivities (shellfish, peanut, and milk), the asthma odd risks were comparable (Hispanic, 3.62 [CI 3.49 &#x2013; 3.76]; Non-Hispanic, 3.51 [3.47 &#x2013; 3.52]). When considering race, Black individuals (1.90, CI 1.87 &#x2013; 1.94) had higher ORs of asthma than White individuals (0.21, CI 0.20 &#x2013; 0.22), Asian/Pacific Islander individuals (1.00, CI 0.95 &#x2013; 1.05), and Other/Unknown races (1.14, CI 1.11 &#x2013; 1.27). Although the ORs increased by three to four times for all races after adjusting for the most frequent food allergen reactivities, the same pattern of childhood asthma remained when considering races (in this order, Black, Other/Unknown, Asian/Pacific Islander, and White). In the dataset evaluated in this study, food allergens modified the association of race and ethnicity with the development of asthma. Therefore, public health interventions that gear towards the incidence of childhood asthma should contemplate the interplay and differences in nutrition among races and ethnicities.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>asthma</kwd>
                <kwd>food allergens</kwd>
                <kwd>race</kwd>
                <kwd>ethnicity</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Asthma is a chronic respiratory disease affecting nearly 330 million people worldwide
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. Children, whose immune system is yet to mature, are among the most susceptible to asthma. Indoor, as well as outdoor stimuli (e.g., allergens, air pollutants matter, and microbial exposures), can contribute to childhood asthma
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. Indoor allergens frequently linked to childhood asthma include pests (dust mites, cockroaches, and mice), microbial contaminants (bacteria and fungi), and anthropogenic indoor air pollution
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>,
                    <xref ref-type="bibr" rid="ref-5">5</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. Outdoor allergens include traffic-related pollutants, fungal and pollen airborne allergens
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>,
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. In recent years, food allergies have increased and, as a consequence, they can contribute to the prevalence of childhood asthma
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. Allergy-induced childhood asthma is a growing public health concern, not only from increasing trends but also from heterogenous repeated exposure to stimuli.</p>
            <p>The interplay of sociodemographic factors contributes to the incidence of childhood asthma. Ethnic, neighborhood and other sociodemographic differences have been linked to various exposure to indoor and outdoor allergens and pollutants. These differences have been associated with childhood asthma health disparities
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>. Nevertheless, few studies have addressed the relationship between food allergens and sociodemographic factors in childhood asthma morbidity. In this study, we re-analyzed a publicly available dataset
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup> employed in a study published by Hill 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>, in which they used provider-based data to find relationships between food allergens and respiratory allergy.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Dataset</title>
                <p>A publicly available cross-sectional cohort provider-based data (Children&#x2019;s Hospital of Philadelphia care network) published by Hill 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>
                    </sup> was re-analyzed. It includes data on 333,200 children between infancy and 18 years of age who received one or more years of care in the primary care network. This dataset contains gender, race, ethnicity, payer type (i.e., Medicaid, non-Medicaid), and birth year information. It also includes physician-diagnosed childhood asthma, allergic rhinitis, atopic dermatitis, and food allergies: shellfish, milk, soy, egg, wheat, peanut, tree nut, walnut, pecan, pistachio, almond, basil, hazelnut, and cashew.</p>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>Statistical analysis was performed using R (version 3.5.0, 
                    <ext-link ext-link-type="uri" xlink:href="https://www.r-project.org/">https://www.r-project.org/</ext-link>). Descriptive analysis of demographics was published by Hill 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>
                    </sup>. Hill 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>
                    </sup> also addressed the prevalence of eczema, childhood asthma, and rhinitis, prevalence of food allergy, and risk of childhood asthma and rhinitis by food allergens. Therefore, these results are not discussed in detail in the current study. We reported the prevalence of food allergies as well as multiple logistic regression of childhood asthma as determined by race/ethnicity before and after adjusting by reactivity to the predominant allergens. 
                    <italic toggle="yes">p-</italic>value &lt;0.05 was considered statistically significant.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>To determine the prevalent food allergens among races and ethnicities in the dataset from Hill 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>,
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>, proportions of reactivity were plotted (
                <xref ref-type="fig" rid="f1">Figure 1</xref>). The highest food allergen reactivities were among Non-Hispanic (15%) and White (8%) individuals, and the lowest among Asian/Pacific Islander (7%) and Hispanic (0.5%) individuals. The most common reactivities were to peanut, shellfish, egg, milk, fish, and soy; except for Black individuals (highest to shellfish) the most reactive food allergen was peanut. Shellfish was the second most prevalent food allergen, except for Black (peanut) and White (milk) individuals, and Other Races (milk). These results suggest that race and ethnicity contribute to different food allergen reactivities.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Prevalence of food allergen reactivity among races and ethnicities.</title>
                    <p>After converting the food allergen variables into binary outcomes, the proportion of reactivity was calculated for each allergens and categories by both race and ethnicity (Hispanic and Non-Hispanic). The food allergens with the top three reactivities were included into the multiple logistic regression models.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/17279/b26836cf-87eb-413c-a654-50f9e0848f62_figure1.gif"/>
            </fig>
            <p>Hill 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup> have reported an association between the development of childhood asthma and food allergies. To follow the race and ethnic prevalence of food allergies and to expand Hill 
                <italic toggle="yes">et al&#x2019;s</italic>. previous findings, we evaluated associations of race (Black, White, Asian/Pacific Islander, Others) and ethnicity (Hispanic vs. Non-Hispanic) with the development of childhood asthma (
                <xref ref-type="table" rid="T1">Table 1</xref>). Although Hispanic individuals had five times higher odds ratio (OR = 1.31) than non-Hispanic individuals (OR = 0.23), after adjusting for race, ethnicity, and top three most prevalent food allergens (peanut, shellfish, and milk), the OR was comparable (Hispanic: OR = 3.62; Non-Hispanic: OR = 3.51). Among races, Black individuals had the highest odds ratio (OR = 1.90) and White individuals the lowest (OR = 0.21) When considering race after adjusting for the top three prevalent allergens, Black individuals (OR = 5.14) had the highest OR compared to White individuals (OR = 3.47), Asian/Pacific Islander individuals (OR = 4.24), and Others/Unknown (OR = 4.45). In summary, Hispanic and Black individuals and other races had the highest ORs compared to White and Asian/Pacific Islander individuals, but the risk increased for all ethnicities and races after considering the three most prevalent food allergens.</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Odds risk of childhood asthma by race/ethnicity before and after adjustments by predominant allergens.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Ethnicity/Race</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">OR (95% CI)</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">OR (CI 95%)
                                <break/>after adjustment
                                <xref ref-type="other" rid="FN1">*</xref>
</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hispanic</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">1.30 (1.26 &#x2013; 1.35)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">3.62 (3.49 &#x2013; 3.76)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Non-Hispanic</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">0.24 (0.23 &#x2013; 0.25</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">3.51 (3.47 &#x2013; 3.52)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Black</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">1.90 (1.87 &#x2013; 1.94)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">5.13 (5.14 &#x2013; 5.20)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">White</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">0.21 (0.20 &#x2013; 0.22)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">3.47 (3.46 &#x2013; 3.51)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Asian/Pacific Islander</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">1.00 (0.95 &#x2013; 1.05)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">4.24 (4.23 &#x2013; 4.32)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Other Races/Unknown</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">1.14 (1.11 &#x2013; 1.27)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">4.45 (4.42 &#x2013; 4.58)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p id="FN1">*Adjustment for top three food allergen reactivities (peanut, shellfish, milk)</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec sec-type="discussion | conclusions">
            <title>Discussion/conclusion</title>
            <p>In this study, re-analysis of published and publicly available data
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup> was employed to expand the findings by Hill 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup> on the association of food allergens and sociodemographic factors with the development of childhood asthma. For this purpose, logistic regressions were employed to evaluate the association of race and ethnicity in the development of asthma.</p>
            <p>Differences in development of childhood asthma, as adjusted by food allergens, were detected not only by ethnicity but also by race. Health disparities, as determined by race and ethnicity, are well established, and our results align with previous findings
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>,
                    <xref ref-type="bibr" rid="ref-18">18</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>. In these studies, Black and Hispanic individuals have been reported to have a higher prevalence of childhood asthma. Similarly, food allergens and their association with asthma have been extensively documented
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>,
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup>. In the current study, Hispanic and Black individuals were also the groups with the highest asthma prevalence. Furthermore, food allergens modified the effect of sociodemographic factors in asthma development.</p>
            <p>As reported by Hill 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>, the dataset was a retrospective examination of health records at only one health institution, and diseases relied on diagnosis codes: the latter is often reported as a possible contributor to bias in how data is collected. Hill 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup> addressed this limitation by carrying out a comparison of diagnosis codes with accepted diseases parameters. All other limitations and approaches to address previously published by Hill 
                <italic toggle="yes">et al.</italic> apply to the current study as we used their publicly available dataset
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>.</p>
            <p>In conclusion, food allergens modified the effect of sociodemographic factors in the development of childhood asthma. Development and implementation of asthma interventions should consider the possible confounding interaction of nutritional allergens with race and ethnicity factors.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>The dataset used in this study is available from 
                <ext-link ext-link-type="uri" xlink:href="http://doi.org/10.5281/zenodo.44529">http://doi.org/10.5281/zenodo.44529</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>.</p>
            <p>The R script used in this analysis can be found in 
                <xref ref-type="other" rid="SF1">Supplementary File 1</xref>.</p>
        </sec>
    </body>
    <back>
        <sec id="SM1" sec-type="supplementary-material">
            <title>Supplementary material</title>
            <p id="SF1">Supplementary File 1: Food allergens re-analysis R script.</p>
            <p>

                <ext-link ext-link-type="uri" xlink:href="https://f1000researchdata.s3.amazonaws.com/supplementary/15831/0db87096-8c70-4231-916a-902d95786ff5.R">Click here to access the data</ext-link>.</p>
        </sec>
        <ref-list>
            <ref id="ref-1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Baxi</surname>
                            <given-names>SN</given-names>
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