<?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.22725.1</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>Sequence variation at 8q24.21 and risk of back pain</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Williams</surname>
                        <given-names>Frances M.K.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Tsepilov</surname>
                        <given-names>Yakov A.</given-names>
                    </name>
                    <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/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Freidin</surname>
                        <given-names>Maxim B.</given-names>
                    </name>
                    <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/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Shashkova</surname>
                        <given-names>Tatiana I.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8754-8727</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Suri</surname>
                        <given-names>Pradeep</given-names>
                    </name>
                    <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/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Aulchenko</surname>
                        <given-names>Yurii S.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="corresp" rid="c2">b</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a8">8</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Twin Research and Genetic Epidemiology, King&#x2019;s College London, London, UK</aff>
                <aff id="a2">
                    <label>2</label>Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russian Federation</aff>
                <aff id="a3">
                    <label>3</label>Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics SD RAS, Novosibirsk, Russian Federation</aff>
                <aff id="a4">
                    <label>4</label>Department of Molecular and Biological Physics, Moscow Institute of Physics and Technology (State University), Moscow, Russian Federation</aff>
                <aff id="a5">
                    <label>5</label>Research and Training Center on Bioinformatics, A.A. Kharkevich Institute for Information Transmission Problems RAS, Moscow, Russian Federation</aff>
                <aff id="a6">
                    <label>6</label>Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA</aff>
                <aff id="a7">
                    <label>7</label>Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, Washington, USA</aff>
                <aff id="a8">
                    <label>8</label>Polyomica, &#x2018;s-Hertogenbosch, The Netherlands</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:frances.williams@kcl.ac.uk">frances.williams@kcl.ac.uk</email>
                </corresp>
                <corresp id="c2">
                    <label>b</label>
                    <email xlink:href="mailto:y.s.aulchenko@polyomica.com">y.s.aulchenko@polyomica.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>YSA is a co-owner of Maatschap PolyOmica and PolyKnomics BV, private organizations, active in re-search and development in the field of computational and statistical (gen)omics. Other authors declare no competing interest.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>22</day>
                <month>5</month>
                <year>2020</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2020</year>
            </pub-date>
            <volume>9</volume>
            <elocation-id>424</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>7</day>
                    <month>5</month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Williams FMK et al.</copyright-statement>
                <copyright-year>2020</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/9-424/pdf"/>
            <abstract>
                <p>Back pain (BP) is a common condition of major social importance and poorly understood pathogenesis. Intervertebral lumbar disc degeneration in all its guises is one of the major biological risk factors for BP. Previously, we identified the locus at 8q24.21 associated with chronic BP, which has been found elsewhere associated with sciatica after surgery for lumbar disc herniation. In the current study we used co-localisation methods to identify the gene most likely to harbor the causal variant. We show that the same functional variant at the 8q24.21 locus is responsible for both lumbar disc degeneration and BP, and we also studied the effects of this locus on related phenotypes. Our results link the locus to intervertebral disc and bone mineral density, but not to anthropometric measurements, thus corroborating the epidemiological evidence. Moreover, the same functional variant at the locus is more likely to affect the expression of the nearby 
                    <italic toggle="yes">FAM49B</italic> gene, rather than the 
                    <italic toggle="yes">GSDMC</italic> gene, which was previously proposed as a causative one for BP.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>lumbar disk degeneration</kwd>
                <kwd>back pain</kwd>
                <kwd>transcriptomics</kwd>
                <kwd>genome wide association study</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100013176">
                    <funding-source>Federal Agency for Scientific Organizations</funding-source>
                    <award-id>0324-2019-0040</award-id>
                </award-group>
                <award-group id="fund-2">
                    <funding-source>Belgian Medical Genomics Initiative</funding-source>
                </award-group>
                <award-group id="fund-3">
                    <funding-source>WELBIO</funding-source>
                </award-group>
                <award-group id="fund-4">
                    <funding-source>EU FP7 PainOMICS project</funding-source>
                    <award-id>602736</award-id>
                </award-group>
                <award-group id="fund-5" xlink:href="http://dx.doi.org/10.13039/501100002261">
                    <funding-source>Russian Foundation for Basic Research</funding-source>
                    <award-id>19-015-00151</award-id>
                </award-group>
                <award-group id="fund-6" xlink:href="http://dx.doi.org/10.13039/100000051">
                    <funding-source>National Human Genome Research Institute</funding-source>
                </award-group>
                <award-group id="fund-7" xlink:href="http://dx.doi.org/10.13039/100000050">
                    <funding-source>National Heart, Lung, and Blood Institute</funding-source>
                </award-group>
                <award-group id="fund-8" xlink:href="http://dx.doi.org/10.13039/501100003443">
                    <funding-source>Ministry of Education and Science of the Russian Federation</funding-source>
                </award-group>
                <award-group id="fund-9" xlink:href="http://dx.doi.org/10.13039/501100007601">
                    <funding-source>Horizon 2020</funding-source>
                </award-group>
                <award-group id="fund-10" xlink:href="http://dx.doi.org/10.13039/100000026">
                    <funding-source>National Institute on Drug Abuse</funding-source>
                </award-group>
                <award-group id="fund-11" xlink:href="http://dx.doi.org/10.13039/100000002">
                    <funding-source>National Institutes of Health</funding-source>
                </award-group>
                <award-group id="fund-12" xlink:href="http://dx.doi.org/10.13039/100000025">
                    <funding-source>National Institute of Mental Health</funding-source>
                </award-group>
                <award-group id="fund-13" xlink:href="http://dx.doi.org/10.13039/501100002749">
                    <funding-source>Belgian Federal Science Policy Office</funding-source>
                </award-group>
                <award-group id="fund-14" xlink:href="http://dx.doi.org/10.13039/100000054">
                    <funding-source>National Cancer Institute</funding-source>
                </award-group>
                <award-group id="fund-15" xlink:href="http://dx.doi.org/10.13039/100000065">
                    <funding-source>National Institute of Neurological Disorders and Stroke</funding-source>
                </award-group>
                <funding-statement>This work was funded by the EU FP7 PainOMICS project [grant agreement # 602736]. TIS was sup-ported by the Russian Ministry of Science and Education under the 5-100 Excellence Programme. YSA was supported by the Federal Agency of Scientific Organizations via the Institute of Cytology and Genet-ics [project 0324-2019-0040-&#x0421;-01]. YAT was supported by the Federal Agency of Scientific Organiza-tions via the Institute of Cytology and Genetics [project 0324-2019-0040-&#x0421;-01] and by the Russian Foundation for Basic Research [project 19-015-00151]. The Genotype-Tissue Expression (GTEx) Pro-ject was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS. The data used for the analyses described in this manuscript were obtained from the GTEx Portal on February 2017. The CEDAR was supported by grants to Michel Georges from WELBIO (CAUSIBD), BELSPO (BeMGI), and Horizon 2020 (SYS-CID).</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Back pain (BP) is a common debilitating condition with a lifetime prevalence of 40% and a major socioeconomic impact
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. According to the Global Burden of Disease 2016 study, it leads the list of disabling conditions in many parts of the world
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. The greatest biological risk for episodes of severe BP is thought to be lumbar disc degeneration (LDD)
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. Rather than a discrete disease, LDD is now considered a continuous lifelong aging process that usually starts in the third decade of life but may also be seen in children
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. It is highly heritable
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>, as well as being influenced by smoking
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>, age
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup> and body mass index
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. The overall burden of lumbar disc degeneration on magnetic resonance imaging is a strong predictor of BP episodes
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. There is a clear genetic predisposition to both BP and LDD with estimates of heritability in the range of 30%&#x2013;70%
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>. Also, these traits have been shown to share genetic risk factors
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. However, little is known about the genetic architecture of BP and only three associated genetic loci have been identified
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>,
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>.</p>
            <p>This work was focused on the locus at chromosome 8 (8q24.21), which was identified in our previous BP studies
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>,
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. The same locus has been reported associated with having lumbar disc herniation (LDH) in Icelanders undergoing surgery for sciatica
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. Bjornsdottir 
                <italic toggle="yes">et al.</italic> additionally reported an association of this region to height, but concluded that the region does not influence LDH through height. They noted that the most highly associated SNP, rs6651255, was linked to expression of the nearby gasdermin (
                <italic toggle="yes">GSDMC</italic>) gene in GTEx data
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>. Further, the immune-related function of gasdermins implied that the inflammatory and immunological consequences of disk herniation may be linked to sciatica symptom severity.</p>
            <p>However, closely located SNPs associated with different traits do not always reflect pleiotropy
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup>. Furthermore, in the case of eQTL studies, causal hypotheses generated through single-variant look up are highly likely to be false positives
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup>. Consequently, a variety of co-localization methods have been introduced
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup> to distinguish the two common scenarios: pleiotropy (the same functional genetic variant is associated with both traits) and linkage (two different functional genetic variants, each associated with a different trait, that are in linkage disequilibrium).</p>
            <p>The aim of this study was to (1) verify whether the same functional variant at 8q24.21 is responsible for BP and LDH and (2) to study the effects of this variation on related phenotypes. As a result, we offer an alternative explanation to the assertion by Bjornsdottir 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup> regarding the role of immunity and inflammation in generating symptoms of sciatica and BP due to variation in expression at the locus in between genes 
                <italic toggle="yes">CCDC26</italic> and 
                <italic toggle="yes">GSDMC</italic>.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>GWAS data</title>
                <p>We used the BP GWAS performed in all genetically confirmed white British UK Biobank participants (N= 453,862) as target data for future analysis
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>
                    </sup>. We used the summary level-data of LDH GWAS from the original paper of deCODE group
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>
                    </sup>. They do not provide full GWAS scan, only the statistics for the significant SNPs from the 8q24.21 region. We used information about 40 SNPs from this locus for which information about effect size, effective and reference alleles and p-value was available (Supplementary Table 1,3 of the work
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>
                    </sup>).</p>
                <p>We derived summary statistic of 2,419 complex traits provided by the 
                    <ext-link ext-link-type="uri" xlink:href="http://www.nealelab.is/">Neale Lab</ext-link> and 34 traits from  the 
                    <ext-link ext-link-type="uri" xlink:href="http://geneatlas.roslin.ed.ac.uk/">Gene ATLAS</ext-link> database. Summary statistics for gene expression levels were obtained from Westra Blood eQTL
                    <sup>
                        <xref ref-type="bibr" rid="ref-26">26</xref>
                    </sup> (peripheral blood, 
                    <ext-link ext-link-type="uri" xlink:href="https://cnsgenomics.com/software/smr/#eQTLsummarydata, file: westra_eqtl_data_hg19.zip (hg19)">http://cnsgenomics.com/software/smr/#eQTLsummarydata, file: westra_eqtl_data_hg19.zip (hg19)</ext-link>) and the GTEx database
                    <sup>
                        <xref ref-type="bibr" rid="ref-27">27</xref>
                    </sup> (14 tissues
                    <sup>
                        <xref ref-type="bibr" rid="ref-28">28</xref>
                    </sup>, 
                    <ext-link ext-link-type="uri" xlink:href="https://www.gtexportal.org/home/datasets">https://www.gtexportal.org/home/datasets</ext-link>, 
                    <ext-link ext-link-type="uri" xlink:href="https://storage.googleapis.com/gtex_analysis_v6/single_tissue_eqtl_data/GTEx_Analysis_V6_all-snp-gene-associations.tar">file: GTEx_Analysis_V6_all-snp-gene-associations.tar</ext-link>).</p>
            </sec>
            <sec>
                <title>SMR-HEIDI analysis</title>
                <p>Summary-level mendelian randomization and heterogeneity in dependent instruments (SMR-HEIDI)
                    <sup>
                        <xref ref-type="bibr" rid="ref-24">24</xref>
                    </sup> approach was used to test for potential pleiotropic effects of the 8q24.21 region on back pain (BP) and LDH and other complex traits including gene expression levels in certain tissues.  SMR analysis provides evidence for pleiotropy, but is unable to define whether both traits are affected by the same underlying causal polymorphism. The latter is specified by a HEIDI test that distinguishes pleiotropy from linkage. Zhang F. and colleagues developed the 
                    <ext-link ext-link-type="uri" xlink:href="https://cnsgenomics.com/software/smr/#Overview">software SMR tool</ext-link> implementing the SMR-HEIDI methods
                    <sup>
                        <xref ref-type="bibr" rid="ref-24">24</xref>
                    </sup>.</p>
                <p>SMR tool is suitable to analyze pleiotropic association using summary-level data from GWAS and eQTL studies.  We conducted two groups of analysis: target trait vs eQTL and target trait vs other complex traits. Summary-level data from BP GWAS
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>
                    </sup> was used as target (
                    <monospace>--gwas-summary</monospace> option) in both cases. For eQTL analysis we used  Westra Blood eQTL data (converted to suitable BSED format by developers) and GTEx v7, converted using 
                    <monospace>--make-besd</monospace> option (
                    <monospace>smr --eqtl-flist Gtex_tissue_1.txt --make-besd --out Gtex_tissue_1</monospace>, where 
                    <monospace>Gtex_tissue_1.txt file</monospace> correspond to summary-level data of selected tissue). In order to apply SMR tool for complex traits we selected the region +-250kb around the target SNP from each complex trait GWAS. After that, we add new columns Probe_ID with trait_name to corresponded SNP subset. Finally, we merge these SNP subsets into one file and converted it in BESD format using 
                    <monospace>--make-besd</monospace> option.</p>
                <p>In both cases we set the minor allele frequency threshold as 0.03 and included in the HEIDI test SNPs inside +-250kb window centered around the target SNP; other parameters used default settings. The LD matrix for the HEIDI test was estimated using 
                    <ext-link ext-link-type="uri" xlink:href="https://www.cog-genomics.org/plink2">PLINK</ext-link> 1.9 software and individual data of white UK Biobank participants, the subset of individuals used to calculate BP GWAS (N=10,000).</p>
                <p>Nominal P for SMR test was set at 6e-4 (0.05/89, where 89 is the total number of probes for the gene expression analysis) and 2e-5 (0.05/2,453, where 2,453 is the total number of complex traits used in analysis). For HEIDI analysis we used a conservative threshold of P = 0.05 (P &lt; 0.05 corresponds to the rejection of pleiotropy hypothesis).</p>
            </sec>
        </sec>
        <sec sec-type="results | discussion">
            <title>Results and discussion</title>
            <p>We had previously performed the largest-to-date GWAS for chronic BP using the UK Biobank and CHARGE consortium cohorts, with total of 119384 cases and 334478 controls
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. Cases were defined as those having BP of duration &gt;3-6 months; controls included those without back pain or with back pain of &lt;3-6 months. We found variants at 8q41.21 locus that showed a genome-wide significant association (OR=1.05, p = 4.4 &#x00d7; 10
                <sup>-13</sup>, after genomic control correction)
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. The location chr8:130,717,716 is tagged by intergenic variant rs10956487 which is in perfect LD with rs6651255 (r
                <sup>2</sup>=1 according to 1000 Genomes EUR samples), the lead SNP in the Icelandic study of LDH by Bjornsdottir 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. The strongest association signal for BP is situated near 
                <italic toggle="yes">GSDMC</italic> gene; yet another protein-coding gene, 
                <italic toggle="yes">FAM49B</italic>, is located within a 500 kbp window. The summary of the previously reported results and our findings for locus 8q24.21 are shown in 
                <xref ref-type="fig" rid="f1">Figure 1</xref>.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Pleiotropic effects of locus 8q24.21 on BP and related traits.</title>
                    <p>The BP-related traits and genes analyzed in our work are blue. The locus 8q24.21 is connected to associated traits (p-value &lt; 5*10
                        <sup>-8</sup>) by green arrows. Possible relations between traits, as inferred from previous studies, are marked by grey arrows. Pairwise pleiotropic effects tested by SMR-HEIDI are denoted by a red cross if the test failed, and by a blue check if the test passed. A new detected pleiotropic effect on expression of 
                        <italic toggle="yes">FAM49B</italic> and BP based on SMR-HEIDI results is denoted by the blue arrow. LDH, lumbar disk herniation; SRDP, self-reported disk problems; HBMD, heel bone mineral density t-score.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/25092/71b09290-ab5e-4985-b664-15c83ea7f815_figure1.gif"/>
            </fig>
            <p>We used the SMR-HEIDI approach
                <sup>
                    <xref ref-type="bibr" rid="ref-24">24</xref>
                </sup> to test for potential pleiotropic effects of the 8q24.21 region (rs6651255) on BP and other complex traits including gene expression levels in relevant tissues. SMR analysis provides evidence for pleiotropy, but is unable to determine whether both traits are influenced by the same underlying causal polymorphism. The latter question was addressed by the HEIDI test which distinguishes pleiotropy from linkage. For SMR-HEIDI testing we used as the target trait the BP GWAS previously performed in all genetically confirmed white British UK Biobank participants
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>.</p>
            <p>First of all, we checked relationships between BP and LDH. We found strong evidence that co-association of these traits to 8q24.21 is due to the pleiotropic action of the same functional variant (P
                <sub>SMR</sub>=2.8 &#x00d7; 10
                <sup>-7</sup> and P
                <sub>HEIDI</sub> = 0.87; extended data
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>). We further applied SMR-HEIDI to test for pleiotropic effects of the region in the collection of 2,453 traits available from the 
                <ext-link ext-link-type="uri" xlink:href="http://www.nealelab.is/blog/2017/7/19/rapid-gwas-of-thousands-of-phenotypes-for-337000-samples-in-the-uk-biobank">UK biobank study</ext-link> and 
                <ext-link ext-link-type="uri" xlink:href="http://geneatlas.roslin.ed.ac.uk/">GeneAtlas</ext-link>. We found that the BP risk allele of rs6651255 was negatively associated with heel bone mineral density t-score and positively associated with self-reported prolapsed or slipped disc (both FDR
                <sub>SMR</sub>&lt;0.01, underlying data
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup> and extended data
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>) and also strongly associated with standing height (underlying data
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup> and extended data
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>) and several measures of fat-free mass (all FDR
                <sub>SMR</sub>&lt;0.001). However, HEIDI tests showed strong evidence against pleiotropic effects of the same functional variant in this region for BP and these anthropometric traits (all P
                <sub>HEIDI</sub> &lt; 0.001), while associations with heel bone mineral density t-score and self-reported prolapsed or slipped disc were likely the result of pleiotropy, controlled by the same functional variant (all P
                <sub>HEIDI</sub> &gt; 0.05). This suggests that genetic variants influencing structural spine features &#x2013; the vertebral body and intervertebral disc &#x2013; provide the link to BP symptoms, supporting previous work in twins highlighting shared genetic influence between spine degeneration and BP
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>,
                    <xref ref-type="bibr" rid="ref-31">31</xref>
                </sup>.</p>
            <p>The unanticipated results were obtained in the study of expression data. We have previously
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup> demonstrated that variants in LD with the lead SNP at 8q24.1 were located in potential regulatory regions in chondrocytes and osteoblasts (Roadmap Epigenomics Consortium
                <sup>
                    <xref ref-type="bibr" rid="ref-32">32</xref>
                </sup>). In the current study, we tested expression of genes in the 8q24.21 region in all available tissues considered potentially relevant to development of pain (underlying data
                <sup>
                    <xref ref-type="bibr" rid="ref-33">33</xref>
                </sup>), including musculoskeletal, brain and nerve tissue (from GTEx,
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>). Given the suggestion by Bjornsdottir 
                <italic toggle="yes">et al.</italic> that the locus may act through regulation of immune function
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>, we also investigated expression in whole blood using the blood eQTL database
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup> and five immune cell subsets from CEDAR
                <sup>
                    <xref ref-type="bibr" rid="ref-34">34</xref>
                </sup>. Similar to the Bjornsdottir 
                <italic toggle="yes">et al.</italic> study
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>, we observed that rs6651255 is co-associated with expression of 
                <italic toggle="yes">GSDMC</italic> in skeletal muscle (FDR
                <sub>SMR</sub>=0.01, P
                <sub>SMR</sub>=0.0001, underlying data
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup>), with the BP-associated C allele of rs6651255 being associated with increased expression of the gene. However, HEIDI results show this overlap to be unlikely due to pleiotropic action of the same functional variant (P
                <sub>HEIDI</sub> = 3&#x00d7;10
                <sup>-7</sup>, underlying data
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup> and extended data
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>). Our findings suggest that 
                <italic toggle="yes">GSDMC</italic> is not the gene through which the functional variant acts to influence BP. The next strongest co-association was with increased expression of 
                <italic toggle="yes">FAM49B</italic> in brain anterior cingulate cortex (P
                <sub>SMR</sub>=0.004, underlying data
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup> and extended data
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>) and decreased expression in cytotoxic T (CD8+) cells (P
                <sub>SMR</sub>=0.02, underlying data
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup> and extended data
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>), although these associations were only nominally significant (p&lt;0.05), yet not statistically significant after multiple testing correction (FDR
                <sub>SMR</sub>=0.18 and 0.28, respectively). All corresponding P
                <sub>HEIDI</sub> were &gt; 0.05, indicating these co-associations are likely due to pleiotropy. The product of 
                <italic toggle="yes">FAM49B</italic> was found to be expressed in multiple tissues including bone, lymph node and spleen; according to Proteomics DB
                <sup>
                    <xref ref-type="bibr" rid="ref-35">35</xref>
                </sup>, it has highest expression in lymphocytes, and was implicated as a key negative regulator of actin dynamics and T-cell activation
                <sup>
                    <xref ref-type="bibr" rid="ref-36">36</xref>
                </sup>. The precise mechanism of which gene is involved in the development of BP is difficult to infer due to lack of eQTL data available for relevant tissues, such as intervertebral disc.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusion</title>
            <p>We hypothesize that the locus 8q24.21 exhibits its influence on BP phenotypes via disk and bone remodeling, and not through influence on anthropometrics or pain processing. Our findings suggest that 
                <italic toggle="yes">FAM49B</italic> and not 
                <italic toggle="yes">GSDMC</italic> is the most likely mechanism through which the functional variant leads to BP.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p> Zenodo: Table S1. List of relevant studies of gene expression with available eQTL data. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.3715005">http://doi.org/10.5281/zenodo.3715005</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>List of relevant studies of expression data.csv (List of relevant studies of gene expression with available eQTL data)</p>
                    </list-item>
                </list>
                <p> Zenodo: Tables S2-S3. SMR-HEIDI results for 8q24.21 locus between back pain and other phenotypes. [Data set]. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.3715027">http://doi.org/10.5281/zenodo.3715027</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>SMR-HEIDI results ST2.csv (SMR-HEIDI results for 8q24.21 locus between back pain and other complex traits)</p>
                    </list-item>
                    <list-item>
                        <p>SMR-HEIDI results ST3.csv (SMR-HEIDI results for 8q24.21 locus between back pain and expression of genes)</p>
                    </list-item>
                </list>
            </sec>
            <sec>
                <title>Extended data</title>
                <p>Figures S1&#x2013;S7. SMR-HEIDI analysis results for 8q24.21 locus between BP and selected phenotypes. Zenodo: 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.3715120">http://doi.org/10.5281/zenodo.3715120</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>
                </p>
                <p>This project contains the following extended data:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>Figure S1.png (SMR-HEIDI analysis results for rs6651255 between BP and LDH)</p>
                    </list-item>
                    <list-item>
                        <p>Figure S2.png (SMR-HEIDI analysis results for rs6651255 between BP and GSDMC expression in skeletal muscle (GTEx v6))</p>
                    </list-item>
                    <list-item>
                        <p>Figure S3.png (SMR-HEIDI analysis results for rs6651255 between BP and FAM49B expression in Brain anterior cingulate cortex BA24 (GTEx v6))</p>
                    </list-item>
                    <list-item>
                        <p>Figure S4.png (SMR-HEIDI analysis results for rs6651255 between BP and FAM49B expression in CD8 cell line (CEDAR))</p>
                    </list-item>
                    <list-item>
                        <p>Figure S5.png (SMR-HEIDI analysis results for rs6651255 between BP and heel bone mineral) density (UKBB).</p>
                    </list-item>
                    <list-item>
                        <p>Figure S6.png (SMR-HEIDI analysis results for rs6651255 between BP and disc problem phenotype (UKBB))</p>
                    </list-item>
                    <list-item>
                        <p>Figure S7.png (SMR-HEIDI analysis results for rs6651255 between BP and height (UKBB))</p>
                    </list-item>
                </list>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We thank Denis Gorev, Anna Torgasheva and Eugeny Pakhomov for help with summary level data collection, processing, and analyses. We thank Michel Georges for permission to use the CEDAR results for this work, and for discussion related to CEDAR. We also thank Natalia Aulchenko for help with the manuscript preparation. </p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report70799">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.25092.r70799</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Haglund</surname>
                        <given-names>Lisbet</given-names>
                    </name>
                    <xref ref-type="aff" rid="r70799a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1288-2149</uri>
                </contrib>
                <aff id="r70799a1">
                    <label>1</label>Orthopaedic Research Laboratory, McGill University, Montreal, QC, Canada</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>9</month>
                <year>2020</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Haglund L</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report 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>
            <related-article ext-link-type="doi" id="relatedArticleReport70799" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.22725.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The study "Sequence variation at 8q24.21 and risk of back pain" is well written and is addressing an important clinical problem. The design and data analysis are well performed.</p>
            <p> </p>
            <p> It would be interesting to know more about the function of FAM49B and GDSMC and how a dysregulation&#x00a0;could potentially lead to back pain. The fact that it is involved in mitochondrial dysregulation and reactive oxygen species may have implications for IVD degeneration and low back pain.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Molecular mechanisms of back pain</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
