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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojpathology</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Pathology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2164-6783</issn>
      <issn pub-type="ppub">2164-6775</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojpathology.2026.164018</article-id>
      <article-id pub-id-type="publisher-id">ojpathology-153162</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Friedreich’s Ataxia: Is It a True Single Gene Disease?</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Frolov</surname>
            <given-names>Andrey</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bhimavarapu</surname>
            <given-names>Teja</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Shallert</surname>
            <given-names>Grace</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Guzman</surname>
            <given-names>Miguel A.</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0000-0002-0026-9275</contrib-id>
          <name name-style="western">
            <surname>III</surname>
            <given-names>John R. Martin</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Center for Anatomical Science and Education, Department of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA </aff>
      <aff id="aff2"><label>2</label> Department of Pathology, Saint Louis University School of Medicine, St. Louis, MO, USA </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>01</day>
        <month>10</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>10</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>04</issue>
      <fpage>167</fpage>
      <lpage>176</lpage>
      <history>
        <date date-type="received">
          <day>25</day>
          <month>06</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>10</day>
          <month>08</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>13</day>
          <month>08</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojpathology.2026.164018">https://doi.org/10.4236/ojpathology.2026.164018</self-uri>
      <abstract>
        <p>Friedreich’s ataxia (FRDA) is the most common form of hereditary ataxia. The disease affects multiple organs and manifests with progressive ataxia, scoliosis, cardiomyopathy, and diabetes. FRDA is believed to occur due to a mutation in a single gene, frataxin (<italic>FXN</italic>), despite its incomplete genotype-phenotype correlation. <italic>FXN</italic> encodes an essential mitochondrial protein regulating cellular energy production and iron homeostasis. To gain novel insights into FRDA molecular underlining, this study examined, postmortem, a putative link between phenotypic features and genetic mutations in an FRDA body donor. A 34-year-old female with reported FRDA and comorbidities such as heart failure and type I diabetes was evaluated using a multimodal approach. External examination revealed cavovarus foot deformity, and MRI showed levoscoliosis. Histological examination of the interventricular septum demonstrated cardiac hypertrophy, while examination of the cerebellar dentate nucleus revealed a significant loss of large neuronal cells. These findings were consistent with the FRDA diagnosis and prompted a search for additional genes potentially contributing to the disease. Whole exome sequencing (WES) using the Illumina next-generation sequencing (NGS) platform revealed 77 genes with rare (minor allele frequency, MAF ≤ 0.01) and 67 with low-frequency (0.01 &lt; MAF &lt; 0.05) pathological/deleterious variants. Functional annotation identified a number of genes closely relevant to the donor’s FRDA phenotype, including <italic>ELF2</italic>, <italic>SYNE1</italic>, <italic>ZNF512B</italic>, <italic>CLCN1</italic>, <italic>HSPG2</italic>, <italic>NEB</italic>, <italic>OBSCN</italic>, and <italic>BMP10</italic> (rare variants); <italic>ARMC9</italic>, <italic>GRID2IP</italic>, <italic>VWA5B1</italic>, <italic>MYO18B</italic>, and <italic>SGCD</italic> (low-frequency variants). These genes, together with <italic>FXN</italic>, may contribute to the phenotypic variability and multisystem manifestations of FRDA, thereby pointing toward its polygenic underlining.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Friedreich’s Ataxia</kwd>
        <kwd>Cavovarus Foot Deformity</kwd>
        <kwd>Levoscoliosis</kwd>
        <kwd>Cardiac Hypertrophy</kwd>
        <kwd>Whole Exome Sequencing</kwd>
        <kwd>Next Generation Sequencing</kwd>
        <kwd>Polygenic Underlining</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Friedreich’s ataxia (FRDA) is the most common form of hereditary ataxia, caused primarily by a homozygous GAA trinucleotide repeat expansion in the first intron of the <italic>FXN</italic> gene, leading to reduced production of frataxin, a mitochondrial protein essential for iron-sulfur cluster formation and cellular energy metabolism [<xref ref-type="bibr" rid="B1">1</xref>]. More recently, it has been reported that <italic>FXN</italic> gene expression can also be regulated post-transcriptionally through the microRNA (miR-124) targeting an altered 3'-untranslated region (3'-UTR) of the <italic>FXN</italic> messenger RNA [<xref ref-type="bibr" rid="B2">2</xref>]. Frataxin deficiency results in mitochondrial dysfunction, oxidative stress, and impaired energy production, affecting primarily the central and peripheral nervous systems (CNS and PNS) as well as cardiovascular and endocrine systems. Genetic testing for modified <italic>FXN</italic> provides a definitive FRDA diagnosis (NIH NIDS). Clinically, FRDA presents in late childhood or early adolescence with progressive gait ataxia, areflexia, and dysarthria, and may progress to scoliosis, muscle weakness, diabetes, and hypertrophic cardiomyopathy [<xref ref-type="bibr" rid="B3">3</xref>]. As a multisystem disorder, FRDA demonstrates significant variability in disease severity and progression [<xref ref-type="bibr" rid="B4">4</xref>]. The variability in disease onset, progression, and organ involvement suggests the influence of additional genetic or molecular modifiers. This study examines a rare adult case of FRDA through a multifaceted approach integrating magnetic resonance imaging (MRI), anatomical dissection, histological analysis, and whole exome sequencing (WES). By identifying modified genes besides <italic>FXN</italic> with rare and low-frequency pathological/deleterious variants and correlating them with anatomical findings, this study aims to explore the role of genetic modifiers in shaping the multisystem phenotype of FRDA.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Human Cadaveric Body Procurement</title>
        <p>The body of a 34-year-old female was received through the Saint Louis University (SLU) Gift Body Program with signed informed consent. The available medical history reported FRDA diagnosis at the age of 10, congestive heart failure, type 1 diabetes mellitus, scoliosis, acid reflux, muscle spasms, atrophy of the feet, and wheelchair dependence since adolescence. The cause of death was acute respiratory failure secondary to congestive heart failure. </p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Magnetic Resonance Imaging</title>
        <p>Magnetic resonance imaging (MRI) was performed at the SSM Health Saint Louis University Hospital as previously described [<xref ref-type="bibr" rid="B5">5</xref>]. </p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Anatomical Dissection</title>
        <p>Removal of the brain and heart followed the dissection procedures in Grant’s Dissector, 16th edition [<xref ref-type="bibr" rid="B6">6</xref>]. After their removal, the specimens were submerged in a 10% neutrally buffered formalin solution for approximately eight weeks.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Histochemical Staining</title>
        <p>The heart was sectioned transversely from the midventricular line to the apex, while the brain was sliced coronally into 10 mm sections. Regions of each specimen were removed, dehydrated, paraffin-embedded, sectioned (4 - 5 μm), and stained with hematoxylin and eosin (H &amp; E) according to standard procedures of the Advanced Spatial Biology and Research Histology Facility (Department of Pathology, SLU School of Medicine).</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Light Microscopy</title>
        <p>Images were obtained with a Leica Leitz DMRB light microscope equipped with a DFC7000 T camera and controlled by the Neurolucida software (MBF Bioscience, Williston, VT, USA) using the 4×, 10×, 20×, and 63× objectives. Contours were manually traced in Neurolucida using the continuous tracing tool. Six representative regions of the cardiac interventricular septum were selected, and contours were drawn around cardiomyocytes with a visible nucleus. Cells extending beyond the region boundaries were excluded. The average cardiomyocyte cross-sectional area was then calculated. For the dentate nucleus, neurons with a visible nucleus were selected, and contours were manually drawn around each neuronal soma. Neuronal soma area measurements were subsequently obtained.</p>
      </sec>
      <sec id="sec2dot6">
        <title>2.6. Genetic Screening</title>
        <p>The postmortem genetic screening by WES was conducted by Novogene (Sacramento, CA) to a 50× depth of coverage on the Illumina HiSeq 2500 NGS platform. The respective bioinformatics analysis, including detection of genes with rare (minor allele frequency, MAF ≤ 0.01) and low-frequency (0.01 &lt; MAF &lt; 0.05) pathological/deleterious genetic variants and their functional annotation, was performed as previously described [<xref ref-type="bibr" rid="B7">7</xref>]. By virtue of detecting mutations in the DNA coding regions (exons), WES in the current study was not aimed at identifying canonical <italic>FXN</italic> GAA repeat expansions in the donor’s DNA non-coding regions (introns). </p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Pathological Examination</title>
        <p>External body examination revealed cavovarus foot deformity (<xref ref-type="fig" rid="fig1">Figure 1(A)</xref>), while MRI demonstrated the existence of levoscoliosis and the presence of a foreign metal object (<xref ref-type="fig" rid="fig1">Figure 1(B)</xref>), which was identified during anatomical dissection as an implantable cardioverter-defibrillator (ICD). The latter would be consistent with ventricular tachycardia (VT) being present in the donor. Since cardiomyopathy is one of the possible underlining causes of VT, the histopathological analysis of the donor’s heart was performed. H &amp; E-stained heart interventricular septum revealed hypertrophic cardiomyocytes with irregular contours, size variability, and large, rectangular, so-called “box-car” nuclei (<xref ref-type="fig" rid="fig2">Figure 2(A)</xref>). A total of 415 cardiomyocytes were counted with a mean cross-sectional area of 2304 μm<sup>2</sup> (range, 212 - 9780 μm<sup>2</sup>) vs. a normal mean of 249 μm<sup>2</sup> [<xref ref-type="bibr" rid="B8">8</xref>]. The putative CNS pathology underlining FRDA’s key neurological symptoms was probed by histopathological analysis of the cerebellum. H &amp; E-stained cerebellar dentate nucleus showed predominantly small neuronal cell bodies (<xref ref-type="fig" rid="fig2">Figure 2(B)</xref>). A total of 754 neurons were counted in the right and left dentate nuclei, with a mean diameter of 17 μm (range, 9.4 - 29.1 μm). Only 2% of neurons exceeded 25 μm in diameter, whereas 98% were &lt;25 μm, indicating a significant loss of large neurons. In the normal dentate nucleus, approximately 70% of neurons are large, and depletion of this population is a well-recognized pathologic feature of dentate degeneration and cerebellar disease [<xref ref-type="bibr" rid="B9">9</xref>][<xref ref-type="bibr" rid="B10">10</xref>].</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/1940480-rId15.jpeg?20260813031544" />
        </fig>
        <p><bold>Figure 1.</bold> Anatomical findings in the FRDA body donor. (A) External examination demonstrating bilateral cavovarus foot deformity. (B) Coronal MRI illustrating levoscoliosis. The yellow asterisk denotes the implantable cardioverter-defibrillator in the left upper chest.</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/1940480-rId16.jpeg?20260813031544" />
        </fig>
        <p><bold>Figure 2.</bold> Histopathological findings in the FRDA body donor. Representative H&amp;E-stained sections used for morphometric analysis. (A) Cardiac tissue demonstrating cardiomyocyte hypertrophy, with blue tracings outlining analyzed cardiomyocytes. Enlarged nuclei with squared nuclear contours (“box-car nuclei”), a characteristic feature of cardiomyocyte hypertrophy, are indicated by black arrows. (B) Cerebellar dentate nucleus showing predominance of small neurons and loss of large neurons, consistent with dentate nucleus degeneration in Friedreich ataxia; blue tracings outline analyzed neuronal cell bodies. Scale bars = 50 µm.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Genetic Analysis</title>
        <p>Using a very stringent, five-step analytical algorithm where the last three steps included consecutive filtering of genetic variants through SIFT, PolyPhen_2-HDIV, and PROVEAN databases [<xref ref-type="bibr" rid="B7">7</xref>], 77 genes with rare (R) and 67 genes with low-frequency (LF) pathological/deleterious mutations were identified. Those genes were then manually grouped into 9 functional categories most relevant to the present case: Development, Neurodevelopment, Bone/Cartilage Development, Muscle Development/Function, Mitochondrial Function, Cilia Development/Function, Immunity/Inflammation, Neurological Diseases, and Cardiovascular Diseases (<bold>Table 1</bold> and <bold>Table 2</bold>). These categories were chosen based on the FRDA diagnosis and its associated comorbidities reported in the medical history of the body donor, the most relevant physiological pathways potentially affected in the donor, as well as on the results of the respective pathological examination (see above). </p>
        <p><bold>Table 1.</bold> Genes with rare pathological/deleterious variants that are most relevant to the present case.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>Categories</td>
                <td>Genes</td>
              </tr>
              <tr>
                <td>Development</td>
                <td>
                  <italic>CYS1</italic>
                  ,
                  <italic>DPH6</italic>
                  ,
                  <italic>ESRP1</italic>
                  ,
                  <italic>FAT1</italic>
                  ,
                  <italic>HAAO</italic>
                  ,
                  <italic>IMPG2</italic>
                  ,
                  <italic>LAMB1</italic>
                  ,
                  <italic>LAMC3</italic>
                  ,
                  <italic>LTB</italic>
                  <italic>SNX17</italic>
                  <italic>P2</italic>
                  ,
                  <italic>NKX2-3</italic>
                  ,
                  <italic>NUP58</italic>
                  ,
                  <italic>OR6C76</italic>
                  ,
                  <italic>SKIV2L</italic>
                  ,
                  <italic>SLC49A3</italic>
                  ,
                  <italic>SNX17</italic>
                  ,
                  <italic>USH1C</italic>
                  ,
                  <italic>USH2A</italic>
                  ,
                  <italic>ZNF594</italic>
                </td>
              </tr>
              <tr>
                <td>Neurodevelopment</td>
                <td>
                  <italic>BAHCC1</italic>
                  ,
                  <italic>COL6A6</italic>
                  ,
                  <italic>DENND5A</italic>
                  ,
                  <italic>EPHA8</italic>
                  ,
                  <italic>GABRD</italic>
                  ,
                  <italic>GCFC2</italic>
                  ,
                  <italic>GRK6</italic>
                  ,
                  <italic>KIF17</italic>
                  ,
                  <italic>LAMB1</italic>
                  ,
                  <italic>LAMC3</italic>
                  ,
                  <italic>ME2</italic>
                  ,
                  <italic>SLC49A3</italic>
                  ,
                  <italic>SNX17</italic>
                  ,
                  <italic>SYPL2</italic>
                  ,
                  <italic>TIAM2</italic>
                </td>
              </tr>
              <tr>
                <td>Bone/Cartilage Development</td>
                <td>
                  <italic>DPH6</italic>
                  ,
                  <italic>HAAO</italic>
                  ,
                  <italic>HSPG2</italic>
                  ,
                  <italic>LTBP2</italic>
                  ,
                  <italic>RNASE11</italic>
                  ,
                  <italic>TMUB1</italic>
                  ,
                  <italic>ZNF594</italic>
                </td>
              </tr>
              <tr>
                <td>Muscle Development/Function</td>
                <td>
                  <italic>BMP10</italic>
                  ,
                  <italic>CLCN1</italic>
                  ,
                  <italic>HSPG2</italic>
                  ,
                  <italic>MYF6</italic>
                  ,
                  <italic>NEB</italic>
                  ,
                  <italic>OBSCN</italic>
                  ,
                  <italic>SYNE1</italic>
                </td>
              </tr>
              <tr>
                <td>Cilia Development/Function</td>
                <td>
                  <italic>AGR3</italic>
                  ,
                  <italic>KIF17</italic>
                </td>
              </tr>
              <tr>
                <td>Mitochondrial Function/Energy Metabolism</td>
                <td>
                  <italic>AK1</italic>
                  ,
                  <italic>DLD</italic>
                </td>
              </tr>
              <tr>
                <td>Immunity/Inflammation</td>
                <td>
                  <italic>GRK6</italic>
                  ,
                  <italic>HAAO</italic>
                  ,
                  <italic>HLA-DQB1</italic>
                  ,
                  <italic>HLA-DRB5</italic>
                  ,
                  <italic>MRPL9</italic>
                  ,
                  <italic>MXRA5</italic>
                  ,
                  <italic>NKX2-3</italic>
                  ,
                  <italic>RFX5</italic>
                  ,
                  <italic>SDK1</italic>
                  ,
                  <italic>SKIV2L</italic>
                  ,
                  <italic>SYPL2</italic>
                  ,
                  <italic>UACA</italic>
                </td>
              </tr>
              <tr>
                <td>Neurological Diseases</td>
                <td>
                  <italic>DENND5A</italic>
                  ,
                  <italic>ELF2</italic>
                  ,
                  <italic>GABRD</italic>
                  ,
                  <italic>GCFC2</italic>
                  ,
                  <italic>GRK6</italic>
                  ,
                  <italic>SLC8A3</italic>
                  ,
                  <italic>SYNE1</italic>
                  ,
                  <italic>ZNF512B</italic>
                </td>
              </tr>
              <tr>
                <td>Cardiovascular Diseases</td>
                <td>
                  <italic>BMP10</italic>
                  ,
                  <italic>SDK1</italic>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Table 2.</bold> Genes with low-frequency pathological/deleterious variants that are most relevant to the present case.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>Categories</td>
                <td>Genes</td>
              </tr>
              <tr>
                <td>Development</td>
                <td>
                  <italic>ADGRF3</italic>
                  ,
                  <italic>ARMC3</italic>
                  ,
                  <italic>COL4A4</italic>
                  ,
                  <italic>CYP4A22</italic>
                  ,
                  <italic>HIP1R</italic>
                  ,
                  <italic>IFT8</italic>
                  ,
                  <italic>IQCE</italic>
                  ,
                  <italic>LRP2</italic>
                  ,
                  <italic>MYO18B</italic>
                  ,
                  <italic>OR5K1</italic>
                  ,
                  <italic>RDH11</italic>
                  ,
                  <italic>TBX15</italic>
                  ,
                  <italic>YY1AP1</italic>
                </td>
              </tr>
              <tr>
                <td>Neurodevelopment</td>
                <td>
                  <italic>ABHD14A</italic>
                  ,
                  <italic>ARMC9</italic>
                  ,
                  <italic>CHRNA10</italic>
                  ,
                  <italic>GFAP</italic>
                  ,
                  <italic>GRID2IP</italic>
                  ,
                  <italic>HELB</italic>
                  ,
                  <italic>HIP1R</italic>
                  ,
                  <italic>LRP2</italic>
                  ,
                  <italic>PRODH2</italic>
                  ,
                  <italic>SZT2</italic>
                  ,
                  <italic>VWA5B1</italic>
                  ,
                  <italic>VWA5B1</italic>
                  ,
                  <italic>ZNF620</italic>
                </td>
              </tr>
              <tr>
                <td>Bone/Cartilage Development</td>
                <td>
                  <italic>IQCE</italic>
                  ,
                  <italic>LECT2</italic>
                  ,
                  <italic>P3H1</italic>
                  ,
                  <italic>TCIRG</italic>
                </td>
              </tr>
              <tr>
                <td>Muscle Development/Function</td>
                <td>
                  <italic>ABHD14A</italic>
                  ,
                  <italic>MYO18B</italic>
                  ,
                  <italic>SGCD</italic>
                </td>
              </tr>
              <tr>
                <td>Cilia Development/Function</td>
                <td>
                  <italic>ARMC9</italic>
                  ,
                  <italic>DNAH2</italic>
                  ,
                  <italic>DNAH3</italic>
                  ,
                  <italic>FAM166A</italic>
                  ,
                  <italic>HIP1R</italic>
                  ,
                  <italic>TEKT4</italic>
                  ,
                  <italic>TTC21A</italic>
                </td>
              </tr>
              <tr>
                <td>Mitochondrial Function/Energy Metabolism</td>
                <td>
                  <italic>RFESD</italic>
                  ,
                  <italic>SGIP1</italic>
                </td>
              </tr>
              <tr>
                <td>Immunity/Inflammation</td>
                <td>
                  <italic>BPIFB</italic>
                  ,
                  <italic>CHIA</italic>
                  <italic>CYP4F2</italic>
                  ,
                  <italic>DSG3</italic>
                  ,
                  <italic>LECT2</italic>
                  ,
                  <italic>PADI4</italic>
                  ,
                  <italic>PKP3</italic>
                  ,
                  <italic>PRKN</italic>
                  ,
                  <italic>SIGIRR</italic>
                  ,
                  <italic>TNIP3</italic>
                </td>
              </tr>
              <tr>
                <td>Neurological Diseases</td>
                <td>
                  <italic>ARMC9</italic>
                  ,
                  <italic>GFAP</italic>
                  ,
                  <italic>GRID2IP</italic>
                  ,
                  <italic>PRKN</italic>
                  ,
                  <italic>PRODH2</italic>
                  ,
                  <italic>VWA5B1</italic>
                  ,
                  <italic>ZNF620</italic>
                </td>
              </tr>
              <tr>
                <td>Cardiovascular Diseases</td>
                <td>
                  <italic>ABHD14A</italic>
                  ,
                  <italic>GPAT3</italic>
                  ,
                  <italic>HFE</italic>
                  ,
                  <italic>LRP2</italic>
                  ,
                  <italic>PRKN</italic>
                  ,
                  <italic>SGCD</italic>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>The multifaceted evaluation of the donor’s body using external examination, MRI, gross anatomical dissection, and histopathological analysis revealed several phenotypical features often associated with FRDA: cavovarus foot deformity, scoliosis, cardiac hypertrophy, which likely resulted in hypertrophic cardiomyopathy, and cerebellar degeneration. Because each of these phenotypical features could have been produced by mutated genes other than <italic>FXN</italic>, the existence of such auxiliary genes was probed by WES of the donor’s DNA.</p>
      <p>In both functionally annotated WES datasets, R and LF, the most notable was the presence of mutated genes associated with ataxia-<italic>ELF2</italic> (R) [<xref ref-type="bibr" rid="B11">11</xref>], <italic>SYNE1</italic>(R) [<xref ref-type="bibr" rid="B12">12</xref>], <italic>ARMC9</italic> (LF) [<xref ref-type="bibr" rid="B13">13</xref>], and <italic>GRID2IP</italic> (LF) [<xref ref-type="bibr" rid="B14">14</xref>]—with all of them being linked to ataxia types underlined by cerebellar pathology. The latter was consistent with the pathological changes in the cerebellum observed in the present case. Besides the altered genes linked to specific ataxia types, there were two mutated genes, <italic>ZNF512B</italic> (R) and <italic>VWA5B1</italic> (LF), known to be associated with neurological diseases, respectively, amyotrophic lateral sclerosis [<xref ref-type="bibr" rid="B15">15</xref>] and Niemann-Pick Type C2 (GeneCards), whose symptoms, including ataxia, overlap with FRDA. </p>
      <p>The cavovarus foot deformity and levoscoliosis in the donor’s body could be linked to a number of mutated genes known to regulate bone and limb development—<italic>HAAO</italic> (R), <italic>RNASE11</italic> (R), <italic>TMUB1</italic> (R), <italic>ZNF594</italic> (R), <italic>IQCE</italic> (LF), and <italic>P3H1</italic> (LF)—where <italic>ZNF594</italic> was particularly linked to scoliosis [<xref ref-type="bibr" rid="B16">16</xref>]. The latter skeletal deformity could also be associated with a number of modified genes present in the Muscle Development/Function category (R)—<italic>CLCN1</italic> [<xref ref-type="bibr" rid="B17">17</xref>], <italic>HSPG2</italic> [<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B19">19</xref>], <italic>NEB</italic> [<xref ref-type="bibr" rid="B20">20</xref>], <italic>OBSCN</italic> [<xref ref-type="bibr" rid="B21">21</xref>], and <italic>SYNE1</italic> [<xref ref-type="bibr" rid="B22">22</xref>]—where <italic>SYNE1</italic> reveals its pleiotropic nature by its association with both ataxia (see above) and scoliosis. Two additional genes linked to scoliosis were found in the LF dataset: <italic>MYO18B</italic> [<xref ref-type="bibr" rid="B22">22</xref>] and <italic>SGCD</italic> [<xref ref-type="bibr" rid="B23">23</xref>].</p>
      <p>The identified cardiac hypertrophy could have an input from two modified genes, <italic>BMP10</italic> (R) [<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B25">25</xref>] and <italic>SGCD</italic> (LF) [<xref ref-type="bibr" rid="B26">26</xref>]. Interestingly, cardiac hypertrophy and scoliosis may be linked together via the modified <italic>SGCD</italic> gene [<xref ref-type="bibr" rid="B23">23</xref>][<xref ref-type="bibr" rid="B26">26</xref>]. </p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>Our data are consistent with a hypothesis that FRDA, in addition to the primary modified <italic>FXN</italic> gene, may have an auxiliary polygenic component.</p>
    </sec>
    <sec id="sec6">
      <title>Acknowledgements</title>
      <p>We are grateful to all individuals and their families for their invaluable contribution to the SLU Gift Body Program. We also like to thank Dr. Paul Cliften (Genome Technology Access Center, Washington University in St. Louis, St. Louis, MO, USA) for his expert assistance with the bioinformatics analysis, as well as Vasiliki Grammatopoulou (Advanced Spatial Biology and Research Histology Facility, Department of Pathology, SLU School of Medicine) for her skillful help with the histology slides preparation.</p>
    </sec>
    <sec id="sec7">
      <title>Limitations</title>
      <p>The study was performed with one participant, thereby requiring further validation of its results by using a large cohort of patients and/or the respective clinical database(s). </p>
    </sec>
    <sec id="sec8">
      <title>Funding</title>
      <p>This study was supported by the Center for Anatomical Science and Education, SLU School of Medicine. </p>
    </sec>
    <sec id="sec9">
      <title>Author Contributions</title>
      <p>Concept and design: John R. Martin III and Andrey Frolov.</p>
      <p>Acquisition, analysis, or interpretation of data: John R. Martin III, Andrey Frolov, Teja Bhimavarapu, Grace Shallert, and Miguel A. Guzman.</p>
      <p>Critical review of the manuscript for important intellectual content: John R. Martin III, Teja Bhimavarapu, Grace Shallert, and Miguel A. Guzman.</p>
      <p>Supervision: John R. Martin III.</p>
      <p>Drafting of the manuscript: Andrey Frolov.</p>
      <p>All authors have read and approved the final version of the manuscript. </p>
    </sec>
    <sec id="sec10">
      <title>Ethics Statement</title>
      <p>Throughout the study, no living human subjects were used. The cadaveric body used in the study was received through the SLU Gift Body Program with signed informed consent from the donor. The SLU Gift Body Program abides by all rules set forth by the Uniform Anatomical Gift Act (UAGA). All work with the cadavers, as well as with any material procured from the deceased bodies, is exempt from the Institutional Review Board approval as long as the identity of the deceased individual is not revealed. </p>
    </sec>
  </body>
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