<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2023.1112026</article-id><article-id pub-id-type="publisher-id">JBM-130164</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Involvement of &lt;i&gt;CD40&lt;/i&gt; (rs1883832) and &lt;i&gt;MAP3K14&lt;/i&gt; (rs2074292) Genes Polymorphisms in Hepatitis B Virus Infection in Burkina Faso, West Africa
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lassina</surname><given-names>Traore</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nouhoun</surname><given-names>Nignan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sanata</surname><given-names>Kiemde</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Rasmané Koumbem</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sidnooma</surname><given-names>Véronique Zongo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Minane</surname><given-names>Nafissa Triande</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Karim Ouattara</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marie</surname><given-names>Simone Traore</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tegwindé</surname><given-names>Rébéca Compaore</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tani</surname><given-names>Sagna</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ina</surname><given-names>Marie Traore</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Albert</surname><given-names>Théophane Yonli</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bolni</surname><given-names>Marius Nagalo</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Florencia</surname><given-names>Wendkuuni Djigma</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jacques</surname><given-names>Simpore</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Biomedical Research Laboratory (LaReBio), Biomedical and Public Health Department, Institute for Research in Health Sciences (IRSS/CNRST), Ouaga, Burkina Faso</addr-line></aff><aff id="aff3"><addr-line>Université Norbert Zongo, Centre Universitaire Manga, Koudougou, Burkina Faso</addr-line></aff><aff id="aff1"><addr-line>Laboratoire de Biologie Moléculaire et de Génétique (LABIOGENE),Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso</addr-line></aff><aff id="aff2"><addr-line>Biomolecular Research Center Pietro Annigoni (CERBA), Ouagadougou, Burkina Faso</addr-line></aff><aff id="aff5"><addr-line>Division of Hematology and Oncology, Mayo Clinic, Scottsdale, USA</addr-line></aff><pub-date pub-type="epub"><day>01</day><month>12</month><year>2023</year></pub-date><volume>11</volume><issue>12</issue><fpage>343</fpage><lpage>361</lpage><history><date date-type="received"><day>17,</day>	<month>November</month>	<year>2023</year></date><date date-type="rev-recd"><day>25,</day>	<month>December</month>	<year>2023</year>	</date><date date-type="accepted"><day>28,</day>	<month>December</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Hepatic diseases comprise inflammations of the liver, which can originate from drug-induced, toxic, autoimmune sources and particularly hepatitis B and C virus infection. The outcome of the disease is linked to interactions between the immune system and the virus, and also depends on the age and immune status of the patient. The aim of this study was to evaluate the association of a 
  <em>MAP3K14 </em>(rs2074292), CD40 (rs1883832) polymorphism and chronic hepatitis B virus carriage in a population from Burkina Faso. 
  Methods: In this case-control analysis, 223 and 173 samples, consisting of 90 and 53 controls and 133 and 120 cases, were examined for 
  <em>MAP3K14</em> and CD40 respectively. The cases included patients with Chronic Hepatitis B (CHB), cirrhosis or hepatocellular carcinoma (HCC). Genomic DNA extraction was executed using INVITROGEN and FAVORGEN kits. Genotyping of 
  <em>MAP3K14</em> (rs2074292) and CD40 (rs1883832) gene polymorphisms was accomplished via real-time PCR on the QuantStudioTM 5 Real-Time instrument, followed by allelic discrimination using TaqMan Genotyper Software. Data was interpreted using SPSS version 20 and Epi info version 7.5.2.0. Odds ratios (OR), confidence intervals (CI), and p-values were derived for risk and significance evaluation. 
  Results: This study showed that the heterozygous CT genotype and the mutated T allele of the CD40 (rs1883832) gene are involved in the progression of chronic hepatitis to cirrhosis and hepatocellular carcinoma in HBV-infected patients. However, no association was found between polymorphisms in the 
  <em>MAP3K14 </em>gene (rs2074292) and the progression of HBV infection. By combining the two polymorphisms, we observed either high risk or protection, depending on the genotypes of the 
  <em>MAP3K14</em> and CD40 genes simultaneously carried by the patient. 
  Conclusion: Polymorphisms of the 
  <em>MAP3K14</em> and CD40 genes are associated with the evolution of HBV infection.
 
</p></abstract><kwd-group><kwd>Polymorphisms</kwd><kwd> &lt;i&gt;MAP3K14&lt;/i&gt;</kwd><kwd> &lt;i&gt;CD40&lt;/i&gt;</kwd><kwd> HBV and Burkina Faso</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Hepatic diseases are due to the inflammation of the liver, which can originate from viral, drug-induced, toxic, or autoimmune sources. Notably, viral hepatitis, a significant subset of hepatic diseases, presents a global public health challenge, impacting millions of individuals annually [<xref ref-type="bibr" rid="scirp.130164-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.130164-ref2">2</xref>] . Among these, viral hepatitis B and C stand out as the leading to liver damage with the potential progression to cirrhosis or liver cancer in sub-Saharan Africa and South-east Asia [<xref ref-type="bibr" rid="scirp.130164-ref2">2</xref>] .</p><p>According to a 2014 report by the World Health Organization (WHO), viral hepatitis accounts for 1.4 million deaths each year, comparable to 1.6 million deaths from HIV/AIDS, 1.3 million from tuberculosis, and 600,000 from malaria. This report also highlights that approximately 2 billion people have been infected with the hepatitis B virus [<xref ref-type="bibr" rid="scirp.130164-ref3">3</xref>] . Additionally, Africa has the highest prevalence of HBV infection among children under five years of age, and 70% of new infections worldwide occur in the African region [<xref ref-type="bibr" rid="scirp.130164-ref4">4</xref>] . HBV and HCV strains of hepatitis notably contribute to substantial mortality and morbidity [<xref ref-type="bibr" rid="scirp.130164-ref3">3</xref>] . In West Africa, hepatitis B is endemic, with a prevalence of 8%, the highest worldwide [<xref ref-type="bibr" rid="scirp.130164-ref5">5</xref>] . Additionally, approximately 2% of the region's population carries chronic hepatitis C [<xref ref-type="bibr" rid="scirp.130164-ref5">5</xref>] . Burkina Faso, a West African country, is highly affected by HBV infection, with an estimated national prevalence of (12% - 14.5%) and lower prevalence of HCV (1% - 2.8%) [<xref ref-type="bibr" rid="scirp.130164-ref6">6</xref>] . Chronic hepatitis significantly escalates the risk of cirrhosis and primary liver cancer, which claim 900 and 1300 lives annually in the country, respectively [<xref ref-type="bibr" rid="scirp.130164-ref7">7</xref>] .</p><p>The outcome of the disease is linked to interactions between the immune system and the virus, and also depends on the age and immune status of the patient. Indeed, in more than 90% of cases, adults infected with HBV have developed acute hepatitis and were able to control and eliminate the virus without long-term effects [<xref ref-type="bibr" rid="scirp.130164-ref8">8</xref>] . However, in 10% of cases, certain adults who are unable to fight the infection develop a chronic infection that can involve in the long term into cirrhosis and/or hepatocellular carcinoma (HCC). Less than 1% of patients infected with HBV develop fulminant hepatitis which leads to their death in the absence of liver transplantation [<xref ref-type="bibr" rid="scirp.130164-ref8">8</xref>] .</p><p>The progression towards chronicity depends on the interaction between viral factors and host factors, such as the immune status of the individual [<xref ref-type="bibr" rid="scirp.130164-ref7">7</xref>] .</p><p>MAP3K14, is a widely expressed 947 amino acids, approximately 100 kDa cytoplasmic protein of the MAP kinase family, located on chr17. The gene of the same name encodes mitogen-activated protein kinase 14, NIK (NF kappa B inducing kinase), which is a serine/threonine protein kinase [<xref ref-type="bibr" rid="scirp.130164-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.130164-ref10">10</xref>] . This kinase binds to TNF receptor-associated factor 2 (TRAF2) and stimulates NF-κB activity. It is a critical kinase in the alternative NF-κB activation pathway. It shares sequence similarity with several other MAPKK [<xref ref-type="bibr" rid="scirp.130164-ref10">10</xref>] . In 2022, a Chinese study showed that the MAP3K14 rs2074292 allele may have a potential predictor of HBV-HCC survival probably regulating MAP3K14 mRNA expression [<xref ref-type="bibr" rid="scirp.130164-ref11">11</xref>] . The MAP3K14 rs2074292 variant therefore has an impact on the evolution of HBV infection.</p><p>CD40 is a 40 kDa type I glycoprotein, a member of the nerve growth factor/tumor necrosis factor receptor family. It is found on many cell types, including B lymphocytes, dendritic and follicular cells, macrophages, hematopoietic progenitors, endothelial and epithelial cells, fibroblasts, and carcinoma cells [<xref ref-type="bibr" rid="scirp.130164-ref12">12</xref>] . CD40 is expressed on B lymphocytes and antigen-presenting myeloid cells and plays an important role in the antiviral immune response. Studies have reported that CD40 could be activated during viral infection and its activation could increase the antiviral capacity of its host. The Chronic Hepatitis B (CHB) susceptibility study indicates that significantly induced elevated CD40 concentration in CHB patients was observed compared to healthy controls. Non-HLA region genes, such as CD40, may play an important role in chronic hepatitis B (CHB) [<xref ref-type="bibr" rid="scirp.130164-ref13">13</xref>] .</p><p>A comprehensive understanding of these viral, host and environmental factors is essential for prevention and effective treatment to reduce the burden of HBV-related complications. To date, several genome-wide association studies (GWAS) of HCC have discovered SNPs associated with cancer risk and survival [<xref ref-type="bibr" rid="scirp.130164-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.130164-ref15">15</xref>] . There are few studies on polymorphisms on the involvement of MAP3K14 and CD40 genes in the occurrence and progression of B viral infection, particularly in Burkina Faso. Thus, in this study we evaluated the association of a MAP3K14 (rs2074292) and CD40 (rs1883832) polymorphism and chronic hepatitis B virus carriage in a population from Burkina Faso.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Study Design, Setting, and Population</title><p>An analytical case-control study was undertaken between August and December 2022 in Ouagadougou, the capitol of Burkina Faso. The study enrolled two distinct cohorts: cases and controls. The case cohort consisted of individuals diagnosed with chronic hepatitis B (CHB), viral cirrhosis, and hepatocellular carcinoma attributed to HBV infection. Conversely, the control cohort included individuals tested negative for HBsAg, anti-HCV and HIV. Of the 223 study participants, there were 133 patients infected with HBV, including 48 cases of hepattocellular carcinoma, 16 cases of cirrhosis and 69 cases of chronic hepatitis B, and 90 healthy controls for MAP3K14 (rs2074292) and on the 173 participants in the study including 120 cases consisting of 59 cases of chronic hepatitis B, 15 cases of cirrhosis, 46 cases of hepatocellular carcinoma and 53 controls for CD40 (rs1883832). Participants with hepatocellular carcinoma and cirrhosis were recruited from the hepato-gastroenterology departments of Yalgado OUEDRAOGO (CHU-YO) teaching hospital and Paul VI hospital. Meanwhile, CHB participants were recruited from the Biomolecular Research Center Pietro Annigoni (CERBA) and the control groups from the National Blood Transfusion Center (CNTS).</p></sec><sec id="s2_2"><title>2.2. Inclusion Criteria</title><p> Chronic hepatitis B: participants in this group had a confirmed HBV infection for over six months, evidenced by HBsAg positivity and ultrasound results showing no significant liver abnormalities.</p><p> Cirrhosis: participants in this category had a clinically confirmed cirrhotic liver condition, with HBV being the sole etiological agent.</p><p> Hepatocellular carcinoma: enrollment was based on alpha-fetoprotein (AFP) assay results, CT scan findings, and/or histological liver examination. Only individuals with HBV as the sole exposure factor were considered.</p><p> Control group: participants tested negative for HBsAg, anti-HCV and HIV were categorized as controls.</p></sec><sec id="s2_3"><title>2.3. Non-Inclusion Criteria</title><p>Encompassed HBV-negative cases, HIV-positive cases, HBV-positive and/or HIV-positive controls and individuals unwilling to participate to the study have been excluded. Also excluded were individuals who did not provide explicit informed written consent.</p></sec><sec id="s2_4"><title>2.4. Sample Collection</title><p>Sampling began with patient interview employing a structured questionnaire, capturing socio-demographic data, dietary inclinations, and liver disease history. Subsequent to the interview, whole blood was collected and stored into two labeled tubes (EDTA and dry tube) for subsequent serological and molecular analyses. Following centrifugation, samples were stored at −20˚C waiting for analysis.</p></sec><sec id="s2_5"><title>2.5. DNA Extraction and Quantification</title><p>Genomic DNA extraction was done using INVITROGEN and FAVORGEN kits by following the manufacturers' guidelines. DNA concentration and purity were verified using the “Biodrop” spectrophotometer.</p></sec><sec id="s2_6"><title>2.6. Genotyping of MAP3K14 and CD40 Genes Polymorphisms</title><p>Real-time PCR was done by using the QuantStudioTM 5 Real-Time PCR System for the genotyping of the MAP3K14 (rs2074292) and CD40 (rs1883832) gene polymorphisms. Each genotyping reaction (25 &#181;L total volume) consisted of 17.5 &#181;L of distilled water, 3 &#181;L of HOT FIREPol&#174; Probe Universal qPCR Mix (5&#215; concentration), 1.5 &#181;L of TaqMan&#174; SNP Genotyping Assays (diluted 1:5), and 3 &#181;L of genomic DNA.</p><p>The PCR conditions were: an initial 10-minute denaturation step at 95˚C, followed by 40 cycles: 15 seconds of denaturation at 95˚C, 1-minute hybridization/extension at 60˚C, and a concluding 30-second extension at 60˚C. The specific primers and probes employed for amplification are listed in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Data were inputted into Excel 2019 and subsequently analyzed employing the Statistical Package for the Social Sciences (SPSS) version 20 and Stata version 16, in conjunction with EPI info 7.2.5.0. To ascertain risk levels, odds ratios (OR) along with their corresponding 95% confidence intervals (95% CI) were computed. A statistical difference was considering as significant when p &lt; 0.05.</p></sec><sec id="s2_7"><title>2.7. Ethical Considerations</title><p>The Ethics Committee for Health Research of Burkina Faso approved the protocol for this study under the reference N˚ 2022-02-027. All participants, including patients and donors, provided written informed consent prior to their inclusion in the study. Rigorous measures were adopted to maintain data confidentiality, with the database securely stored on a password-protected computer.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Socio-Demographic Characteristics of the Study Population</title><p>➢ MAP3K14 (rs2074292)</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Primer and probe sequences</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Polymorphism</th><th align="center" valign="middle" >Primers and probes</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >MAP3K14 (rs2074292)</td><td align="center" valign="middle" >Primers: F: 5'-AGCCCTGGAAACCTCACC-3' R: 5'-TGAGATTGGCGGAATAAGAGA-3'</td></tr><tr><td align="center" valign="middle" >Probe: 5'-VIC-AGCCCTGGAAACCTCACC-MGB-NFQ-3' 5'-FAM-TGAGATTGGCGGAATAAGAGA-MGB-NFQ-3'</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >CD40 (rs1883832)</td><td align="center" valign="middle" >Primers: F: 5'-CCCCGATAGGTGGACCGCGATTGGT-3' R: 5'-CCCGCCCTCTGAACCCCCTACCAGT-3'</td></tr><tr><td align="center" valign="middle" >Probe: 5'-VIC-CCCCGATAGGTGGACCGCGATTGGT-MGB-NFQ-3' 5'-FAM-CCCGCCCTCTGAACCCCCTACCAGT-MGB-NFQ-3'</td></tr></tbody></table></table-wrap><p>Statistical Analysis.</p><p>The study population consisted of 223 participants with 109 (48.88%) women and 114 (51.12%) men. The sex ratio was 1.04. Population ages ranged from 12 to 80 years, with a mean study age of 34.84 &#177; 12.52 years. Females had a mean age of 34.51 &#177; 11.14 years, compared with 36.98 &#177; 13.26 years for males. Considering the clinical subgroups, the mean ages were as follows:</p><p>- Chronic hepatitis B (69 cases): 34.62 &#177; 11.86 years</p><p>- Cirrhosis (16 cases): 41.12 &#177; 11.81 years</p><p>- Hepatocellular carcinoma (48 cases): 42.10 &#177; 15.47 years</p><p>- Controls (90 persons): 30.03 &#177; 8.01 years of age</p><p>➢ CD40 (rs1883832)</p><p>The study population comprised 173 individuals, 77 (44.5%) women and 96 (55.5%) men, with a sex ratio of 1.24. Their ages ranged from 12 to 80 years, with a mean of 35.88 &#177; 12.39 years. Females had a mean age of 34.51 &#177; 11.14 years, compared with 36.98 &#177; 13.26 years for males. Considering the clinical subgroups, the mean ages were as follows:</p><p>- Chronic hepatitis B (59 cases): 35 &#177; 11.07 years</p><p>- Cirrhosis (15 cases): 40.53 &#177; 11.10 years</p><p>- Hepatocellular carcinoma (46 cases): 41.85 &#177; 15.50 years</p><p>- Controls (53 persons): 30.36 &#177; 7.75 years</p></sec><sec id="s3_2"><title>3.2. Genotypic and Allelic Frequencies of MAP3K14 (rs2074292) and CD40 (rs1883832) Stratified by Gender</title><p>➢ MAP3K14 (rs2074292)</p><p>Females: In cases, genotype frequencies were 6.41% for wild-type AA homozygotes and GG-mutated homozygotes and 87.18% for AG heterozygotes. In controls, they were 8.33% for AA homozygotes, 87.5% for AG heterozygotes and 4.16% for GG mutated homozygotes. The mutated allele was represented in the case group with a frequency of 50% versus 47.9% in the control group. This difference was not statistically significant (p-value &gt; 0.05).</p><p>Men: Genotype frequencies were 12.72% for AA homozygotes, 81.81% for AG heterozygotes and 5.45% for GG homozygotes in the case group. In controls, these values were 7.57% for AA homozygotes, 86.36% for AG heterozygotes and 6.06% for GG mutated homozygotes. The frequency of mutated alleles was 46.4% in cases versus 49.24% in controls, which did not represent a significant difference (p-value &gt; 0.05) (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>➢ CD40 (rs1883832)</p><p>Women: Genotype frequencies in cases were 60% for CC homozygotes, 10.8% for CT heterozygotes and 29.2% for TT mutated homozygotes. In controls, they were 41.7% for CC homozygotes, 8.3% for CT heterozygotes and 50% for TT mutated homozygotes. The frequency of the mutated allele was 34.6% in cases versus 54.2% in controls, with no significant difference (p-value &gt; 0.05).</p><p>Men: In cases, the frequencies were 36.4% for CC homozygotes, 14.5% for CT heterozygotes and 49.1% for TT mutated homozygotes. In controls, 48.8% were CC homozygotes, 14.6% CT heterozygotes and 36.6% TT mutated homozygotes.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of genotype and allele frequencies by sex</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="3"  ></th><th align="center" valign="middle"  colspan="8"  >MAP3K14 (rs2074292)</th></tr></thead><tr><td align="center" valign="middle"  colspan="4"  >Women</td><td align="center" valign="middle"  colspan="4"  >Men</td></tr><tr><td align="center" valign="middle" >Cases N = 78 (%)</td><td align="center" valign="middle" >Controls N = 24 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >Cases N = 55 (%)</td><td align="center" valign="middle" >Controls N = 66 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotype</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >5 (6.41)</td><td align="center" valign="middle" >2 (8.33)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >7 (12.72)</td><td align="center" valign="middle" >5 (7.57)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >68 (87.18)</td><td align="center" valign="middle" >21 (87.5)</td><td align="center" valign="middle" >1.29 (0.23 - 7.17)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >45 (81.81)</td><td align="center" valign="middle" >57 (86.36)</td><td align="center" valign="middle" >0.56 (0.16 - 1.89)</td><td align="center" valign="middle" >0.52</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >5 (6.41)</td><td align="center" valign="middle" >1 (4.16)</td><td align="center" valign="middle" >2 (0.13 - 29.80)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3 (5.45)</td><td align="center" valign="middle" >4 (6.06)</td><td align="center" valign="middle" >0.53 (0.08 - 3.53)</td><td align="center" valign="middle" >0.86</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >78 (50)</td><td align="center" valign="middle" >25 (52.1)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >59 (53.6)</td><td align="center" valign="middle" >67 (50.76)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >78 (50)</td><td align="center" valign="middle" >23 (47.9)</td><td align="center" valign="middle" >1.08 (0.56 - 2.07)</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >51 (46.4)</td><td align="center" valign="middle" >65 (49.24)</td><td align="center" valign="middle" >0.89 (0.53 - 1.47)</td><td align="center" valign="middle" >0.75</td></tr><tr><td align="center" valign="middle"  colspan="2"   rowspan="3"  ></td><td align="center" valign="middle"  colspan="8"  >CD40 (rs1883832)</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Women</td><td align="center" valign="middle"  colspan="4"  >Men</td></tr><tr><td align="center" valign="middle" >Cases N = 65 (%)</td><td align="center" valign="middle" >Controls N = 12 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >Cases N = 55 (%)</td><td align="center" valign="middle" >Controls N = 41 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >39 (60)</td><td align="center" valign="middle" >5 (41.7)</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >20 (36.4)</td><td align="center" valign="middle" >20 (48.8)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >7 (10.8)</td><td align="center" valign="middle" >1 (8.3)</td><td align="center" valign="middle" >0.89 (0.09 - 8.8)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >8 (14.5)</td><td align="center" valign="middle" >6 (14.6)</td><td align="center" valign="middle" >1.33 (0.39 - 4.54)</td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >19 (29.2)</td><td align="center" valign="middle" >6 (50)</td><td align="center" valign="middle" >0.4 (0.1 - 1.5)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >27 (49.1)</td><td align="center" valign="middle" >15 (36.6)</td><td align="center" valign="middle" >1.8 (0.74 - 4.35)</td><td align="center" valign="middle" >0.27</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >85 (65.4)</td><td align="center" valign="middle" >11 (45.8)</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >48 (43.64)</td><td align="center" valign="middle" >46 (56.1)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >45 (34.6)</td><td align="center" valign="middle" >13 (54.2)</td><td align="center" valign="middle" >0.44 (0.18 - 1.08)</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >62 (56.36)</td><td align="center" valign="middle" >36 (43.9)</td><td align="center" valign="middle" >1.65 (0.92 - 2.93)</td><td align="center" valign="middle" >0.11</td></tr></tbody></table></table-wrap><p>The frequency of the mutated allele was 56.36% in cases versus 43.9% in controls, with no significant difference (p-value &gt; 0.05) (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>As shown in <xref ref-type="table" rid="table2">Table 2</xref>, after distributing the frequencies of genotypes and alleles by sex, the analysis results indicated that there was no association between sex and the progression of infection with the hepatitis B virus towards severe forms of the disease at the level of the MAP3K14 (rs2074292) and CD40 (rs1883832) genes.</p></sec><sec id="s3_3"><title>3.3. Distribution of Genotypic and Allelic Frequencies of MAP3K14 (rs2074292) and CD40 (rs1883832) Based on Clinical Status</title><p>To understand the potential relationship between the genotypic and allelic frequencies of polymorphisms in the MAP3K14 (rs2074292) and CD40 (rs1883832) genes and the progression of hepatitis B virus (HBV) infection, we examined their distribution in the four clinical states: chronic hepatitis B (CHB), cirrhosis, HCC and controls. After analysis, the distribution of genotypes for the two polymorphic genes showed no specific trend or correlation related to any of the clinical groups. However, only the TT-mutated homozygote [OR = 0.05; 95% CI (0.01 - 1.16) and p &lt; 0.00] and the T-mutated allele [OR = 0.17; 95% CI (1.1 - 0.29) and p &lt; 0.00] of the rs1883832 polymorphism of the CD40 gene offered protection against progression to severe forms of HBV infection (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s3_4"><title>3.4. Comparison of Genotypic and Allelic Frequencies of MAP3K14 (rs2074292) and CD40 (rs1883832) Genes between Cases and Controls</title><p>➢ MAP3K14 (rs2074292)</p><p>After analysis, there was no association between the rs2074292 polymorphism of the MAP3K14 gene and the evolution of the infection. However, the mutated allele could be correlated with a low risk of infection severity (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>➢ CD40 (rs1883832)</p><p>As shown in <xref ref-type="table" rid="table4">Table 4</xref>, for rs1883832 polymorphisms of the CD40 gene, carriage of the mutated T allele has been shown to be associated with progression of hepatitis B virus infection to severe forms of the disease. This result applies to</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Genotype and allele frequencies by clinical status</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="6"  >MAP3K14 (rs2074292)</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >General population N = 223 (%)</th><th align="center" valign="middle" >CHB N = 69 (%)</th><th align="center" valign="middle" >Cirrhosis N = 16 (%)</th><th align="center" valign="middle" >HCC N = 48 (%)</th><th align="center" valign="middle" >Controls N = 90 (%)</th><th align="center" valign="middle" >OR (95% CI)</th><th align="center" valign="middle" >p-Value</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >19 (8.52)</td><td align="center" valign="middle" >5 (7.24)</td><td align="center" valign="middle" >2 (12.5)</td><td align="center" valign="middle" >5 (10.41)</td><td align="center" valign="middle" >7 (7.77)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >191 (85.65)</td><td align="center" valign="middle" >61 (88.4)0</td><td align="center" valign="middle" >11 (68.75)</td><td align="center" valign="middle" >41 (85.41)</td><td align="center" valign="middle" >78 (86.66)</td><td align="center" valign="middle" >0.85 (0.32 - 2.24)</td><td align="center" valign="middle" >0.92</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >13 (5.82)</td><td align="center" valign="middle" >3 (4.34)</td><td align="center" valign="middle" >3 (18.75)</td><td align="center" valign="middle" >2 (4.16)</td><td align="center" valign="middle" >5 (55.55)</td><td align="center" valign="middle" >0.93 (0.21 - 3.99)</td><td align="center" valign="middle" >0.92</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >229 (51.35)</td><td align="center" valign="middle" >71 (51.45)</td><td align="center" valign="middle" >15 (46.87)</td><td align="center" valign="middle" >51 (53.13)</td><td align="center" valign="middle" >92 (51.1)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >217 (48.65)</td><td align="center" valign="middle" >67 (48.55)</td><td align="center" valign="middle" >17 (53.13)</td><td align="center" valign="middle" >45 (46.87)</td><td align="center" valign="middle" >88 (48.9)</td><td align="center" valign="middle" >0.98 (0.67 - 1.43)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >General population N = 173 (%)</td><td align="center" valign="middle" >CHB N = 59 (%)</td><td align="center" valign="middle" >Cirrhosis N = 15 (%)</td><td align="center" valign="middle" >HCC N = 46 (%)</td><td align="center" valign="middle" >Controls N = 53 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >118 (68.2)</td><td align="center" valign="middle" >57 (96.6)</td><td align="center" valign="middle" >8 (53.3)</td><td align="center" valign="middle" >28 (60.9)</td><td align="center" valign="middle" >25 (47.2)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >30 (17.3)</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >7 (46.7)</td><td align="center" valign="middle" >15 (32.6)</td><td align="center" valign="middle" >7 (13.2)</td><td align="center" valign="middle" >0.88 (0.34 - 2.29)</td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >25 (14.5)</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3 (6.5)</td><td align="center" valign="middle" >21 (39.6)</td><td align="center" valign="middle" >0.05 (0.01 - 1.16)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alle les</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >266 (76.9)</td><td align="center" valign="middle" >115 (97.5)</td><td align="center" valign="middle" >23 (76.7)</td><td align="center" valign="middle" >71 (77.2)</td><td align="center" valign="middle" >57 (53.7)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >80 (23.1)</td><td align="center" valign="middle" >3 (2.5)</td><td align="center" valign="middle" >7 (23.3)</td><td align="center" valign="middle" >21 (22.8)</td><td align="center" valign="middle" >49 (46.3)</td><td align="center" valign="middle" >0.17 (1.1 - 0.29)</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p>CHB: Chronic Hepatitis B; HCC: Hepatocellular Carcinoma; OR = Odds Ratio; CI = confidence interval; NA: Not applicable.</p><table-wrap-group id="4"><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Comparison of genotypic and allelic frequencies of CHB, cirrhosis, HCC and controls</title></caption><table-wrap id="4_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="7"  >Genotypic and allelic frequencies in CHB and cirrhosis</th></tr></thead><tr><td align="center" valign="middle"  rowspan="6"  >MAP3K14 (rs2074292)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >CHB N = 69 (%)</td><td align="center" valign="middle" >Cirrhosis N = 16 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >5 (7.25)</td><td align="center" valign="middle" >2 (12.50)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >61 (88.41)</td><td align="center" valign="middle" >11 (68.75)</td><td align="center" valign="middle" >2.21 (0.38 - 12.90)</td><td align="center" valign="middle" >0.71</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >3 (4.35)</td><td align="center" valign="middle" >3 (18.75)</td><td align="center" valign="middle" >0.40 (0.04 - 3.95)</td><td align="center" valign="middle" >0.82</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >71 (51.45)</td><td align="center" valign="middle" >15 (46.87)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >67 (48.55)</td><td align="center" valign="middle" >17 (53.13)</td><td align="center" valign="middle" >1.2 (0.5 - 2.59)</td><td align="center" valign="middle" >0.78</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >CHB N = 59 (%)</td><td align="center" valign="middle" >Cirrhosis N = 15 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >57 (96.6)</td><td align="center" valign="middle" >8 (53.3)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >7 (46.7)</td><td align="center" valign="middle" >49 (5.4 - 460.2)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0 (NA)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >115 (97.5)</td><td align="center" valign="middle" >23 (76.7)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >3 (2.5)</td><td align="center" valign="middle" >7 (23.3)</td><td align="center" valign="middle" >11.66 (2.8 - 48.49)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle"  colspan="7"  >Genotypic and allelic frequencies in CHB and HCC</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >MAP3K14 (rs2074292)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >CHB N = 69 (%)</td><td align="center" valign="middle" >HCC N = 48 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >5 (7.25)</td><td align="center" valign="middle" >5 (10.42)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >61 (88.41)</td><td align="center" valign="middle" >41 (85.42)</td><td align="center" valign="middle" >1.48 (0.1 - 5.46)</td><td align="center" valign="middle" >0.79</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >3 (4.35)</td><td align="center" valign="middle" >2 (4.17)</td><td align="center" valign="middle" >1.5 (0.17 - 13.25)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >71 (51.45)</td><td align="center" valign="middle" >51 (53.13)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >67 (48.55)</td><td align="center" valign="middle" >45 (46.87)</td><td align="center" valign="middle" >0.93 (0.5 - 1.57)</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >CHB N = 59 (%)</td><td align="center" valign="middle" >HCC N = 46 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >57 (96.6)</td><td align="center" valign="middle" >28 (60.9)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >15 (32.6)</td><td align="center" valign="middle" >30.53 (3.83 - 243)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >3 (6.5)</td><td align="center" valign="middle" >6 (0.6 - 61.4)</td><td align="center" valign="middle" >0.23</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >115 (97.5)</td><td align="center" valign="middle" >71 (77.2)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >3 (2.5)</td><td align="center" valign="middle" >21 (22.8)</td><td align="center" valign="middle" >11.33 (3.26 - 39.39)</td><td align="center" valign="middle" >&lt; 0.001</td></tr><tr><td align="center" valign="middle"  colspan="7"  >Genotypic and allelic frequencies in CHB and Controls</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >MAP3K14 (rs2074292)</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >CHB N = 69 (%)</td><td align="center" valign="middle" >Controls N = 90 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >5 (7.25)</td><td align="center" valign="middle" >7 (7.78)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >61 (88.41)</td><td align="center" valign="middle" >78 (86)</td><td align="center" valign="middle" >1.09 (0.33 - 3.61)</td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >3 (4.35)</td><td align="center" valign="middle" >5 (5.56)</td><td align="center" valign="middle" >0.85 (0.3 - 5.26)</td><td align="center" valign="middle" >0.85</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >71 (51.45)</td><td align="center" valign="middle" >92 (51.1)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >67 (48.55)</td><td align="center" valign="middle" >88 (48.9)</td><td align="center" valign="middle" >0.98 (0.63 - 1.53)</td><td align="center" valign="middle" >1</td></tr></tbody></table></table-wrap><table-wrap id="4_2"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="6"  >CD40 (rs1883832)</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >CHB N = 59 (%)</th><th align="center" valign="middle" >Controls N = 53 (%)</th><th align="center" valign="middle" >OR (95% CI)</th><th align="center" valign="middle" >p-Value</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >57 (96.6)</td><td align="center" valign="middle" >25 (47.2)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >7 (13.2)</td><td align="center" valign="middle" >0.06 (0.0073 - 0.53)</td><td align="center" valign="middle" >0.0046</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >1 (1.7)</td><td align="center" valign="middle" >21 (39.6)</td><td align="center" valign="middle" >0.02 (0.0027 - 0.16)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >115 (97.5)</td><td align="center" valign="middle" >57 (53.7)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >3 (2.5)</td><td align="center" valign="middle" >49 (46.3)</td><td align="center" valign="middle" >0.03 (0.009 - 0.1)</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap></table-wrap-group><p>CHB: Chronic Hepatitis B; HCC: Hepatocellular Carcinoma; OR = Odds Ratio; CI = confidence interval; NA: Not applicable.</p><p>both homozygous and heterozygous carriers of the mutated allele. This allele would not only promote chronic infection by the virus, but also progression to cirrhosis and hepatocellular carcinoma, as shown by the ORs, CIs and p-values of the results obtained (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s3_5"><title>3.5. Analysis of Combined Genotypes between Cases and Controls</title><p>To perform the combined genotype analysis for MAP3K14 (rs2074292) and CD40 (rs1883832) polymorphisms, we only considered samples that had passed SNP genotyping tests for both genes. The data in <xref ref-type="table" rid="table5">Table 5</xref> show that simultaneous carriage of the above genotypes would increase the risk of progression from chronic HBV infection to cirrhosis or HCC (<xref ref-type="table" rid="table5">Table 5</xref>). Indeed, the combination of heterozygous AG genotypes of the MAP3K14 gene (rs2074292) and CT genotypes of the CD40 gene (rs1883832) was associated with a very high risk of progression of chronic hepatitis to cirrhosis (OR = 32; CI = 1.56 - 656.09; p = 0.045) or HCC (OR = 32; CI = 2.8 - 364.79; p = 0.004).</p><p>However, a protective effect against chronic infection was observed in cases of simultaneous carriage of the following genotypes:</p><p>- MAP3K14 genotype AG (rs2074292) and CD40 genotype CT (rs1883832)</p><p>- MAP3K14 genotype AG (rs2074292) and CD40 genotype TT (rs1883832)</p><p>The results of the combined effects showed a trend according to which subjects carrying risk genotypes (rs2074292 AG and rs1883832 CT, TT), could be linked to a protective effect (p &lt; 0.001).</p></sec><sec id="s3_6"><title>3.6. Comparison of Genotypic and Allelic Frequencies of MAP3K14 (rs2074292) and CD40 (rs1883832) Genes between Cirrhosis, HCC and Controls</title><p>For the MAP3K14 (rs2074292) and CD40 (rs1883832) polymorphisms, no significant association was identified between the different genotypes and progression from cirrhosis to HCC.</p><p>Compared with the progression of infection in the cirrhosis and control groups, the homozygous TT mutated genotype and the T mutated allele confer protection against the progression of infection to cirrhosis [OR = 0.35; 95% CI (0.13 - 0.89) and p-value = 0.04].</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Combined genotypes between CHB, cirrhosis, HCC and controls</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="14"  >MAP3K14 (rs2074292)</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >AA</td><td align="center" valign="middle"  colspan="4"  >AG</td><td align="center" valign="middle"  colspan="4"  >GG</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.88 (0.09 - 8.64)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1 (0.27 - 58.56)</td><td align="center" valign="middle" >0.69</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >32 (1.56 - 656.09)</td><td align="center" valign="middle" >0.045</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.42</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle"  colspan="14"  >MAP3K14 (rs2074292)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >AA</td><td align="center" valign="middle"  colspan="4"  >AG</td><td align="center" valign="middle"  colspan="4"  >GG</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >1.36 (0.32 - 5.63)</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.66 (0.05 - 8.63)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >32 (2.8 - 364.79)</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.71</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >8 (0.58 - 110.27)</td><td align="center" valign="middle" >0.28</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle"  colspan="14"  >MAP3K14 (rs2074292)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >AA</td><td align="center" valign="middle"  colspan="4"  >AG</td><td align="center" valign="middle"  colspan="4"  >GG</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >CHB</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.28 (0.03 - 2.4)</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.5 (0.02 - 10.25)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.02 (0.0013 - 0.49)</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >0.0069 (0.00004 - 0.12)</td><td align="center" valign="middle" >0.00006</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.42</td></tr></tbody></table></table-wrap><p>Also, the homozygous TT mutated genotype and T mutated allele the CD40 (rs1883832) were associated with protection against the development of carcinoma in HBV infection [OR = 0.12; 95% CI (0.03 - 0.47) and p-value = 0.0019], [OR = 0.34; 95% CI (0.18 - 0.63) and p-value = 0.001] respectively (<xref ref-type="table" rid="table6">Table 6</xref>).</p></sec><sec id="s3_7"><title>3.7. Combined Genotype Analysis between Cirrhosis, HCC and Controls</title><p>For progression from cirrhosis to carcinoma, analysis of the combined genotypes of the two polymorphisms showed no association between controls compared to patients with cirrhosis, nor between patients with cirrhosis and those with HCC.</p><table-wrap-group id="6"><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Comparison of genotypic and allelic frequencies of cirrhosis, HCC and controls</title></caption><table-wrap id="6_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="7"  >Genotypic and allelic frequencies in cirrhosis and HCC</th></tr></thead><tr><td align="center" valign="middle"  rowspan="6"  >MAP3K14 (rs2074292)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cirrhosis N = 16 (%)</td><td align="center" valign="middle" >HCC N = 48 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >2 (12.5)</td><td align="center" valign="middle" >5 (10.41)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >11 (68.75)</td><td align="center" valign="middle" >41 (85.41)</td><td align="center" valign="middle" >1.49 (0.25 - 8.75)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >3 (18.75)</td><td align="center" valign="middle" >2 (4.16)</td><td align="center" valign="middle" >0.26 (0.02 - 3.02)</td><td align="center" valign="middle" >0.62</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >15 (46.87)</td><td align="center" valign="middle" >51 (53.13)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >17 (53.13)</td><td align="center" valign="middle" >45 (46.87)</td><td align="center" valign="middle" >0.77 (0.34 - 1.73)</td><td align="center" valign="middle" >0.68</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cirrhosis N = 15 (%)</td><td align="center" valign="middle" >HCC N = 46 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >8 (53.3)</td><td align="center" valign="middle" >28 (60.9)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >7 (46.7)</td><td align="center" valign="middle" >15 (32.6)</td><td align="center" valign="middle" >0.61 (0.18 - 2.01)</td><td align="center" valign="middle" >0.61</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3 (6.5)</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.86</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >23 (76.7)</td><td align="center" valign="middle" >71 (77.2)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >7 (23.3)</td><td align="center" valign="middle" >21 (22.8)</td><td align="center" valign="middle" >0.97 (0.36 - 2.57)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle"  colspan="7"  >Genotypic and allelic frequencies in cirrhosis and controls</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >MAP3K14 (rs2074292)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cirrhosis N = 16 (%)</td><td align="center" valign="middle" >Controls N = 90 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >2 (12.5)</td><td align="center" valign="middle" >7 (7.77)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >11 (68.75)</td><td align="center" valign="middle" >78 (86.66)</td><td align="center" valign="middle" >0.49 (0.09 - 2.68)</td><td align="center" valign="middle" >0.75</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >3 (18.75)</td><td align="center" valign="middle" >5 (55.55)</td><td align="center" valign="middle" >2.1 (0.25 - 17.59)</td><td align="center" valign="middle" >0.87</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >15 (46.87)</td><td align="center" valign="middle" >92 (51.1)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >17 (53.13)</td><td align="center" valign="middle" >88 (48.9)</td><td align="center" valign="middle" >1.18 (0.55 - 2.51)</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cirrhosis N = 15 (%)</td><td align="center" valign="middle" >Controls N = 53 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >8 (53.3)</td><td align="center" valign="middle" >25 (47.2)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >7 (46.7)</td><td align="center" valign="middle" >7 (13.2)</td><td align="center" valign="middle" >3.12 (0.83 - 11.64)</td><td align="center" valign="middle" >0.16</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >21 (39.6)</td><td align="center" valign="middle" >0 (NA)</td><td align="center" valign="middle" >0.04</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >23 (76.7)</td><td align="center" valign="middle" >57 (53.7)</td><td align="center" valign="middle"  colspan="2"  >Reference</td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >7 (23.3)</td><td align="center" valign="middle" >49 (46.3)</td><td align="center" valign="middle" >0.35 (0.13 - 0.89)</td><td align="center" valign="middle" >0.04</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="6"  >Genotypic and allelic frequencies in HCC and Controls</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >MAP3K14 (rs2074292)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >HCC N = 48 (%)</td><td align="center" valign="middle" >Controls N = 90 (%)</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >5 (10.41)</td><td align="center" valign="middle" >7 (7.77)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >AG</td><td align="center" valign="middle" >41 (85.41)</td><td align="center" valign="middle" >78 (86.66)</td><td align="center" valign="middle" >0.73 (0.21 - 2.46)</td><td align="center" valign="middle" >0.85</td></tr><tr><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >2 (4.16)</td><td align="center" valign="middle" >5 (55.55)</td><td align="center" valign="middle" >0.56 (0.07 - 4.14)</td><td align="center" valign="middle" >0.93</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >51 (53.13)</td><td align="center" valign="middle" >92 (51.1)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >G</td><td align="center" valign="middle" >45 (46.87)</td><td align="center" valign="middle" >88 (48.9)</td><td align="center" valign="middle" >0.92 (0.56 - 1.51)</td><td align="center" valign="middle" >0.84</td></tr></tbody></table></table-wrap><table-wrap id="6_2"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="6"  >CD40 (rs1883832)</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >HCC N = 46 (%)</th><th align="center" valign="middle" >Controls N = 53 (%)</th><th align="center" valign="middle" >OR (95% CI)</th><th align="center" valign="middle" >p-Value</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Genotypes</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >28 (60.9)</td><td align="center" valign="middle" >25 (47.2)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >15 (32.6)</td><td align="center" valign="middle" >7 (13.2)</td><td align="center" valign="middle" >1.91 (0.67 - 5.44)</td><td align="center" valign="middle" >0.33</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >3 (6.5)</td><td align="center" valign="middle" >21 (39.6)</td><td align="center" valign="middle" >0.12 (0.03 - 0.47)</td><td align="center" valign="middle" >0.0019</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Alleles</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >71 (77.2)</td><td align="center" valign="middle" >57 (53.7)</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >T</td><td align="center" valign="middle" >21 (22.8)</td><td align="center" valign="middle" >49 (46.3)</td><td align="center" valign="middle" >0.34 (0.18 - 0.63)</td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap></table-wrap-group><p>CHB: Chronic Hepatitis B; HCC: Hepatocellular Carcinoma; OR = Odds Ratio; CI = confidence interval; NA: Not applicable.</p><p>In contrast, simultaneous carriage of the homozygous TT mutated genotype of CD40 (rs1883832) and the GA of MAP3K14 (rs20742) [OR = 0.05; 95% CI (0.004 - 0.7) and p-value = 0.049] had a protective effect against the development of HCC (<xref ref-type="table" rid="table7">Table 7</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The aim of this study was to investigate the involvement of MAP3K14 rs2074292 and CD40 (rs1883832) genes polymorphisms in the evolution of hepatitis B virus infection in Burkina Faso.</p><p>Analysis of data by socio-demographic characteristics showed that the mean age of our study population was 35.31 &#177; 11.96 years for MAP3K14 (rs2074292) and 34.51 &#177; 11.14 years for CD40 (rs1883832). The average age of cases was higher than that of controls (42.10 &#177; 15.47 years for HCC vs 30.03 &#177; 8.01 years for controls). Our results corroborate those of SOME et al. who argue that in sub-Saharan Africa, HCC is most often diagnosed in patients in the 40 - 50 age range [<xref ref-type="bibr" rid="scirp.130164-ref16">16</xref>] . Our results are close to those of previous studies carried out at the Yalgado OUEDRAOGO teaching Hospital Center, which found average ages for cirrhosis patients of 46.5 years and 46.9 years in 2002 and 2020 respectively [<xref ref-type="bibr" rid="scirp.130164-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.130164-ref17">17</xref>] . However, our results differ from those of a study carried out in America, where the average age was around 60 years [<xref ref-type="bibr" rid="scirp.130164-ref18">18</xref>] . The results showed that our patients were younger than those in developed countries, which could be due to the high proportion of young people in Burkina Faso. This could be explained by the fact that HBV prevalence is high in sub-Saharan Africa, and access to the healthcare system is limited compared with other regions of the world.</p><p>Analysis MAP3K14 (rs2074292) gene polymorphism data in the general study population shows that, the frequencies of the AA, AG and GG genotypes were 8.52%, 85.65% and 5.82% respectively. For allelic distribution, the wild-type A allele had a frequency of 51.35% versus 48.65% for the mutated allele. Our results differ to those of Huang et al. in China, who found 21.59% for AA genotype; 51.62% for AG genotype and 27.25% GG even if our both results show a predominance heterozygote AG [<xref ref-type="bibr" rid="scirp.130164-ref11">11</xref>] . Our allelic frequencies also differ to those</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Combined genotypes between cirrhosis, HCC and controls</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="14"  >MAP3K14 (rs2074292)</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >AA</td><td align="center" valign="middle"  colspan="4"  >AG</td><td align="center" valign="middle"  colspan="4"  >GG</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >1.5 (0.13 - 17.9)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.16 (0.006 - 4.5)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.66 (0.02 - 18)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >1 (0.07 - 12.5)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.33 (0.009 - 11.9)</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >NA</td></tr><tr><td align="center" valign="middle"  colspan="14"  >MAP3K14 (rs2074292)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >AA</td><td align="center" valign="middle"  colspan="4"  >AG</td><td align="center" valign="middle"  colspan="4"  >GG</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >Cirrhosis</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.25 (0.01 - 4.7)</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2 (0.05 - 18.25)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.8 (0.03 - 17.19)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle"  colspan="14"  >MAP3K14 (rs2074292)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="4"  >AA</td><td align="center" valign="middle"  colspan="4"  >AG</td><td align="center" valign="middle"  colspan="4"  >GG</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >CD40 (rs1883832)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td><td align="center" valign="middle" >HCC</td><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >OR (95% CI)</td><td align="center" valign="middle" >p-Value</td></tr><tr><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle"  colspan="2"  >Reference</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.38 (0.03 - 3.9)</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.33 (0.009 - 11.9)</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.8 (0.06 - 9.6)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >0.05 (0.004 - 0.7)</td><td align="center" valign="middle" >0.049</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >NA</td><td align="center" valign="middle" >0.8</td></tr></tbody></table></table-wrap><p>of Huang who obtain 53.06% for G allele and 46.94% A allele. The difference in genotype and allele frequencies in our study could be explained by the genotype of the two study populations, black versus Chinese.</p><p>We correlated MAP3K14 gene polymorphisms with different stages of HBV infection and found no significant association. These results differ from those of Hung, who showed that the AA and AG genotypes were associated with a high risk of complications of HBV infection, notably HCC [<xref ref-type="bibr" rid="scirp.130164-ref11">11</xref>] . Nevertheless, our results showed that the GG mutated genotype is associated with protection against severe forms of HBV infection, although this result was not significant enough.</p><p>Analysis of polymorphism data for the CD40 gene (rs1883832) in the general population studied showed that the frequencies of the CC, CT and TT genotypes were 68.2%, 17.3% and 14.5% respectively. In terms of allelic distribution, the wild-type C allele had a frequency of 76.9%, compared with 23.1% for the mutated T allele. These genotypic frequencies differ from those of Tian et al. 2019, who found 38.6%, 47% and 14.4% for the CC, CT and TT genotypes, respectively. [<xref ref-type="bibr" rid="scirp.130164-ref19">19</xref>] .</p><p>Our allele frequencies also differ from those of Tian et al. who obtained 62.1% for the C allele and 37.9% for the T allele. The difference in genotype and allele frequencies in our two studies could be explained by the genotype of the two populations studied, black versus Chinese. [<xref ref-type="bibr" rid="scirp.130164-ref19">19</xref>] .</p><p>There was an association between CD40 gene polymorphisms and different stages of HBV infection. Indeed, the mutated T allele and the heterozygous CT genotypes of rs1883832 T were associated with the progression of HBV infection towards severe forms of the disease, notably between chronic carriers and those with cirrhosis and HCC. The mutated allele would favor not only chronic infection with the virus, but also progression to cirrhosis and hepatocellular carcinoma, as shown by the ORs, CIs and p-values of the results obtained. These results correspond with those found by Jia Xuan Chen et al who demonstrated in a similar study that the SNP rs1883832 located in the 5'UTR of CD40 was involved in the risk of CHB, the rs1883832 T allele representing the risk, while the C allele is protective [<xref ref-type="bibr" rid="scirp.130164-ref20">20</xref>] . One possible explanation is that the presence of the T allele within the CD40 gene could affect gene translation by influencing mRNA-ribosome stability and the function of cytokines and T cells. [<xref ref-type="bibr" rid="scirp.130164-ref21">21</xref>] .</p><p>In addition, the homozygous mutated TT genotype and the mutated allele of the CD40 gene (rs1883832) were associated with protection against the development of cirrhosis and carcinoma in HBV infection.</p><p>However, our results differ from those of Tain et al., who associated the homozygous mutated genotype with a low risk of developing severe forms of the disease. [<xref ref-type="bibr" rid="scirp.130164-ref19">19</xref>] .</p><p>Analysis of the combined genotypes of the 2 polymorphisms revealed a significant association between the two heterozygous genotypes CT of rs1883832 and AG of rs2074292. Indeed, the combination of these genotypes could be associated with an elevated risk of progression from chronic infection to cirrhosis or HCC.</p><p>In contrast, the AG heterozygote of rs2074292MAP3K14 combined with the CT heterozygote and TT mutated homozygote genotypes of rs1883832CD40 was associated with protection against chronic hepatitis. Our study also demonstrated protection against HCC conferred by the combination of the TT-mutated homozygous genotype of CD40 (rs1883832) and the AG heterozygote of MAP3K14 (rs2074292).</p></sec><sec id="s5"><title>5. Conclusions</title><p>Our study was the first to investigate the association between CD40 (rs1883832) and MAP3K14 (rs2074292) polymorphisms and the occurrence of severe forms of HBV infection in the population from Burkina Faso. This study showed that the heterozygous CT genotype and the mutated T allele of the CD40 gene (rs1883832) are involved in the progression of chronic hepatitis to cirrhosis and hepatocellular carcinoma in HBV-infected patients. Thus, this study showed that CD40 SNP rs1883832 has its unique mechanism of modulating HBV clearance in hepatocytes. However, no association was found between polymorphisms in the MAP3K14 gene (rs2074292) and the progression of HBV infection. By combining the two polymorphisms, we found associations that conferred protection against chronic hepatitis and HCC, and elevated risks of progression from chronic infection to cirrhosis and HCC.</p><p>It is possible that an interaction between several factors may better explain the emergence of severe forms of HBV infection in Burkina Faso, in order to better understand the different pathways and factors that contribute to these associations. Further research in this area is therefore needed, and could help to improve the prevention, diagnosis and treatment of HBV infection, particularly in high-prevalence regions such as Burkina Faso.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We wish to thank all the participants to this study.</p></sec><sec id="s7"><title>Ethics Approval and Consent to Participate</title><p>This study was approved by the Ethics Committee for Health Research (reference: deliberation N˚ 2022-02-027). Written informed consent was obtained from patients and donors. We ensured the confidentiality of our database by storing it on a password-protected computer.</p></sec><sec id="s8"><title>Consent for Publication</title><p>Not Applicable.</p></sec><sec id="s9"><title>Availability of Data and Materials</title><p>The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.</p></sec><sec id="s10"><title>Conflicts of Interest</title><p>The authors declare that they have no competing interests.</p></sec><sec id="s11"><title>Funding</title><p>The present study was supported by the Government of Burkina Faso through the “Fonds National de la Recherche et de Innovation pour le Development” (FONRID) under grants N˚ 000320 FONRlD/AAP3Malalnfect/NCP/PC/2021.</p></sec><sec id="s12"><title>Authors’ Contributions</title><p>Study concept and design: LT, SVZ, FWD and JS. Sampling and laboratory analysis: LT, NN, SK, ARK, MNT, SVZ, MST and TRC. Statistical analysis and data interpretation: LT, NN, SK, MNT and AKO. Drafting of the manuscript: LT, NN, SK and AKO. Critical revision of the manuscript for important intellectual content: SVZ, AKO, MS, MST, BD, DPI, TS, ATY, BMN, FWD and JS. Administrative, technical and material support: LT, BMN, ATY, FWD and JS. Study supervision: BLN, ATY, FWD and JS. The corresponding author declares that the manuscript has been read and approved by all named authors and that the order of authorship in the manuscript has been approved by all of us.</p></sec><sec id="s13"><title>Cite this paper</title><p>Traore, L., Nignan, N., Kiemde, S., Koumbem, A.R., Zongo, S.V., Triande, M.N., Ouattara, A.K., Traore, M.S., Compaore, T.R., Sagna, T., Traore, I.M., Yonli, A.T., Nagalo, B.M., Djigma, F.W. and Simpore, J. (2023) Involvement of CD40 (rs1883832) and MAP3K14 (rs2074292) Genes Polymorphisms in Hepatitis B Virus Infection in Burkina Faso, West Africa. Journal of Biosciences and Medicines, 11, 343-361. https://doi.org/10.4236/jbm.2023.1112026</p></sec><sec id="s14"><title>List of Abbreviations</title><p>ALAT: Alanine Amino Transferase</p><p>CHB: Chronic Hepatitis B</p><p>DNA: Deoxyribonucleic Acid</p><p>CD40: Cluster of Differentiation 40</p><p>MAP3K14: Mitogen-Activated Protein Kinase Kinase Kinase 14</p><p>HBsAg: HBs Antigen</p><p>HBV: Hepatitis B Virus</p><p>HCC: Hepatocellular Carcinoma</p><p>HCV: Hepatitis C Virus</p><p>HIV: Human Immunodeficiency Virus</p><p>HLA: Human Leukocyte Antigen</p><p>NF-κB: nuclear Factor-Kappa B</p><p>WHO: World Health Organization</p><p>Rs: Reference of SNP</p><p>SNP: Single Nucleotide Polymorphism</p></sec></body><back><ref-list><title>References</title><ref id="scirp.130164-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Loubna, E. 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