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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/etm.2018.5801</article-id>
<article-id pub-id-type="publisher-id">ETM-0-0-5801</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between <italic>HLA</italic> gene polymorphism and cutaneous adverse reactions caused by antiepileptic drugs</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Jingang</given-names></name>
<xref rid="af1-etm-0-0-5801" ref-type="aff">1</xref>
<xref rid="af2-etm-0-0-5801" ref-type="aff">2</xref>
<xref rid="fn1-etm-0-0-5801" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Xinrui</given-names></name>
<xref rid="af1-etm-0-0-5801" ref-type="aff">1</xref>
<xref rid="fn1-etm-0-0-5801" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Su</surname><given-names>Yuanyuan</given-names></name>
<xref rid="af1-etm-0-0-5801" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Sun</surname><given-names>Min</given-names></name>
<xref rid="af3-etm-0-0-5801" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Junbang</given-names></name>
<xref rid="af4-etm-0-0-5801" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Hao</surname><given-names>Yunhua</given-names></name>
<xref rid="af1-etm-0-0-5801" ref-type="aff">1</xref>
<xref rid="c1-etm-0-0-5801" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-etm-0-0-5801"><label>1</label>Department of Neurology, Tianyou Hospital, Tongji University, Shanghai 200331, P.R. China</aff>
<aff id="af2-etm-0-0-5801"><label>2</label>Department of Neurology, Dahua Hospital, Shanghai 200331, P.R. China</aff>
<aff id="af3-etm-0-0-5801"><label>3</label>Department of Cardiology, Shandong Energy Zaozhuang Mining Group Central Hospital, Zaozhuang, Shandong 277800, P.R. China</aff>
<aff id="af4-etm-0-0-5801"><label>4</label>Translational Stem Cell Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai 200331, P.R. China</aff>
<author-notes>
<corresp id="c1-etm-0-0-5801"><italic>Correspondence to</italic>: Dr Yunhua Hao, Department of Neurology, Tianyou Hospital, Tongji University, 528 Zhennan Road, Putuo, Shanghai 200331, P.R. China, E-mail: <email>yunhua_hao@163.com</email></corresp>
<fn id="fn1-etm-0-0-5801"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>04</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>25</day>
<month>01</month>
<year>2018</year></pub-date>
<volume>15</volume>
<issue>4</issue>
<fpage>3399</fpage>
<lpage>3403</lpage>
<history>
<date date-type="received"><day>16</day><month>08</month><year>2017</year></date>
<date date-type="accepted"><day>15</day><month>01</month><year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Zhang et al.</copyright-statement>
<copyright-year>2018</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>The association between cutaneous adverse drug reactions (cADRs) caused by antiepileptic drugs (AEDs) and human leukocyte antigen-A (<italic>HLA-A</italic>) and <italic>HLA-B</italic> genes in Chinese Han population in Shanghai was investigated. Through the case-control study, 30 child patients with AED-induced cADRs (cADRs group), 60 AED-tolerant child patients (AED-tolerant group) and 60 normal children not taking AEDs (normal group) were collected. The HLA-B&#x002A;15:02 and HLA-A&#x002A;31:01 genotypes were detected using the polymerase chain reaction-sequence-specific oligonucleotide (PCR-SSO) probe method, and the correlation of <italic>HLA-B&#x002A;15:02</italic> and <italic>HLA-A&#x002A;31:01</italic> genes with the incidence of cADRs was analyzed. The positive rate of <italic>HLA-B&#x002A;15:02</italic> gene was 83.33&#x0025; in the cADRs group, which was significantly increased compared with that in the AED-tolerant and normal groups (P&#x003C;0.01). The positive rate of <italic>HLA-A&#x002A;31:01</italic> gene was 63.33&#x0025; in the cADRs group, which was obviously increased compared with that in the AED-tolerant and normal groups (P&#x003C;0.01). There were no significant differences in HLA-B&#x002A;15:02 and HLA-A&#x002A;31:01 genotypes between the AED-tolerant and normal groups (P&#x003E;0.05). The results showed that HLA-B&#x002A;15:02 and HLA-A&#x002A;31:01 are significantly associated with cADRs in a Chinese Han population in Shanghai, suggesting that HLA-B&#x002A;15:02 and HLA-A&#x002A;31:01 genotypes should be detected in the application of AEDs.</p>
</abstract>
<kwd-group>
<kwd>antiepileptic drugs</kwd>
<kwd>cutaneous adverse reactions</kwd>
<kwd>HLA-B&#x002A;15:02</kwd>
<kwd>HLA-A&#x002A;31:01</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Epilepsy (EP) is a common neurological disease caused by abnormal brain cell super-synchronous discharge with the main clinical features of repeated attack, transiency and stereotype (<xref rid="b1-etm-0-0-5801" ref-type="bibr">1</xref>), which occurs more frequently in children. There are approximately 10 million patients with epilepsy currently in China, and its incidence rate increases year by year with an annual increase of 450,000 individuals, seriously affecting the lives of patients (<xref rid="b2-etm-0-0-5801" ref-type="bibr">2</xref>).</p>
<p>At present, commonly used antiepileptic drugs (AEDs) in clinical practice include carbamazepine, phenytoin sodium, phenobarbital, lamotrigine, primidone and oxcarbazepine (<xref rid="b3-etm-0-0-5801" ref-type="bibr">3</xref>). There is a large difference in the blood concentration of AEDs in individuals, and adverse drug reactions often occur easily, the most common of which is the cutaneous adverse drug reaction (cADR) (<xref rid="b4-etm-0-0-5801" ref-type="bibr">4</xref>). The clinical manifestations of cADRs are maculopapule (MPE), Stevens-Johnson syndrome (SJS), drug hypersensitivity syndrome (HSS) and toxic epidermal necrolysis (TEN) (<xref rid="b5-etm-0-0-5801" ref-type="bibr">5</xref>,<xref rid="b6-etm-0-0-5801" ref-type="bibr">6</xref>) The incidence rates of SJS/TEN are lower (1:10000-6:10000 in European countries and 1:1000-6:1000 in Asian countries), but their fatality rates are extremely high (<xref rid="b7-etm-0-0-5801" ref-type="bibr">7</xref>), thus greatly limiting the clinical application of AEDs (<xref rid="b8-etm-0-0-5801" ref-type="bibr">8</xref>). In recent years, it has been shown that human leukocyte antigen (HLA) polymorphism has a significant correlation with the incidence of cADRs (<xref rid="b9-etm-0-0-5801" ref-type="bibr">9</xref>,<xref rid="b10-etm-0-0-5801" ref-type="bibr">10</xref>). However, other studies have found that some patients with negative HLA polymorphism also suffer from SJS/TEN (<xref rid="b11-etm-0-0-5801" ref-type="bibr">11</xref>,<xref rid="b12-etm-0-0-5801" ref-type="bibr">12</xref>).</p>
<p>In this study, the permanent population in Shanghai was taken as the subjects of study to investigate the correlation of <italic>HLA-B&#x002A;15:02</italic> and <italic>HLA-A&#x002A;31:01</italic> polymorphisms with the incidence of cADRs to identify the genetic factors leading to the cADRs.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Subjects of study</title>
<p>Child patients treated or admitted to the Department of Neurology, Tianyou Hospital, Tongji University (Shanghai, China) from January, 2015 to January, 2017 were enrolled into the cADRs group (n=30). Child patients enrolled took AEDs for the first time and cADRs occurred within 8 weeks. Patients with other rashes similar to the drug rash were clearly eliminated via the consultation of dermatologists in our hospital. At the same time, 60 child patients treated or admitted to the Department of Neurology, Tianyou Hospital, Tongji University were randomly selected as the AED-tolerant group. This group was administered AEDs for the first time and cADRs did not occur within 8 weeks. Normal children who did not take AEDs were randomly selected as the normal control group. The diagnosis of epileptic children was based on the international general diagnostic criteria (<xref rid="b13-etm-0-0-5801" ref-type="bibr">13</xref>): i) recurrent convulsion without obvious predisposing causes, and without concurrent infection, hyperpyrexia and other clinical manifestations; ii) EEG examination for child patients indicates an abnormal EEG; iii) all child patients take single AEDs without combined medication. There was no significant difference in the drugs used for child patients between the cADRs and AED-tolerant groups. The child patients and their parents were a permanent Han population in Shanghai.</p>
<p>This experiment was approved by the Ethics Committee of Tianyou Hospital (Shandong, China) and family members of child patients signed the informed consent.</p>
</sec>
<sec>
<title>Materials and instruments</title>
<p>Median whole blood genomic DNA extraction kit (Beijing BioTeke Corp., Beijing, China); HLA-SSO genotyping kit (One Lambda Inc., Canoga Park, CA, USA); ultramicro ultraviolet spectrophotometer (Thermo Fisher Scientific, Inc., Waltham, MA, USA); PCR amplifier (Applied Biosystems, Foster City, CA, USA); and a flow fluorescence detector (Luminex, Austin, TX, USA) were used in the present study.</p>
</sec>
</sec>
<sec>
<title>Research methods</title>
<sec>
<title>DNA extraction</title>
<p>DNA was extracted using the median whole blood genomic DNA extraction kit according to the protocol. The purity and concentration of DNA were detected using the Nanodrop-2000 ultramicro ultraviolet spectrophotometer, and the purity and concentration of the DNA samples met the experimental requirements.</p>
</sec>
<sec>
<title>PCR amplification</title>
<p>DNA sample (1 &#x00B5;l) at a concentration of 20&#x2013;40 ng/&#x00B5;l was taken and added with the substrate, primer and Taq mixture according to the protocol, and vibrated evenly, followed by PCR amplification. The specific reaction parameters are shown in <xref rid="tI-etm-0-0-5801" ref-type="table">Table I</xref>. The amplification products obtained received 2&#x0025; agarose gel electrophoresis to determine the relevant DNA fragments.</p>
</sec>
<sec>
<title>Sample hybridization</title>
<p>Amplified DNA (5 &#x00B5;l) was taken and added with an appropriate number of magnetic beads and magnetic bead buffer, vibrated evenly and then incubated on the PCR amplification instrument at 60&#x00B0;C for 15 min. The mixture was washed with 50 &#x00B5;l washing liquid 3 times, added with 25 &#x00B5;l fluorescent liquid and incubated at 60&#x00B0;C for 5 min. After being washed again 3 times, the samples were read on Hoefer DQ 200 flow fluorometer (Hoefer, Inc., Piscataway, NJ, USA).</p>
</sec>
<sec>
<title>Statistical methods</title>
<p>SPSS 19.0 software (IBM, Armonk, NY, USA) was used for statistical analysis. Measurement data are presented as mean &#x00B1; SD, and one-way analysis of variance was used for the comparison among groups. Tukey test was used as post hoc test. <italic>HLA</italic> gene frequency in each group was calculated using the direct counting method. Chi-square test or Fisher&#x0027;s exact test was used for the comparison of <italic>HLA</italic> gene frequency in each group. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Comparison of general data</title>
<p>In the cADRs group, there were 9 child patients with SJS, 4 child patients with TEN, 6 child patients with HSS and 11 child patients with MPE. There were no significant differences in sex ratio and age among the three groups of children (<xref rid="tII-etm-0-0-5801" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>Comparison of HLA-B&#x002A;15:02 gene frequency in each group</title>
<p>The pairwise comparison was made for <italic>HLA-B&#x002A;15:02</italic> gene frequency in child patients in the three groups. The results showed that the positive rate of <italic>HLA-B&#x002A;15:02</italic> gene in the cADRs group was significantly higher than that in the AED-tolerant and normal groups, and the differences were statistically significant [P&#x003C;0.001, odds ratio (OR)=7.143, 95&#x0025; confidence interval (CI)=3.496&#x2013;14.593; P&#x003C;0.001, OR=25.00, 95&#x0025; CI=6.34&#x2013;98.578]. There was no statistically significant difference between AED-tolerant group and normal group (P&#x003E;0.05) (<xref rid="tIII-etm-0-0-5801" ref-type="table">Tables III</xref>&#x2013;<xref rid="tV-etm-0-0-5801" ref-type="table">V</xref>).</p>
</sec>
<sec>
<title>Comparison of HLA-A&#x002A;31:01 gene frequency in each group</title>
<p>The pairwise comparison was carried out for the <italic>HLA-A&#x002A;31:01</italic> gene frequency in child patients for the three groups. The results showed that the positive rate of <italic>HLA-A&#x002A;31:01</italic> gene in the cADRs group was significantly higher than that in the AED-tolerant and normal groups, and the differences were statistically significant (P&#x003C;0.001, OR=2.235, 95&#x0025; CI=1.375&#x2013;3.634; P=&#x003C;0.001, OR=4.222, 95&#x0025; CI=2.18&#x2013;8.177). There was no statistically significant difference between the AED-tolerant and normal groups (P&#x003E;0.05) (<xref rid="tVI-etm-0-0-5801" ref-type="table">Tables VI</xref>&#x2013;<xref rid="tVIII-etm-0-0-5801" ref-type="table">VIII</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>cADR is the delayed-type hypersensitivity mediated by immune mechanisms, whose incidence is associated with sex, age, region, initial dose of AEDs and history of allergy (<xref rid="b8-etm-0-0-5801" ref-type="bibr">8</xref>) In addition, its incidence is unpredictable and heterogeneous (<xref rid="b14-etm-0-0-5801" ref-type="bibr">14</xref>). MPE is the most common AED-induced cADR, and its main clinical manifestations are pink small papules and maculae on skin without involving the mucosa or organs, which can gradually disappear after drug withdrawal (<xref rid="b15-etm-0-0-5801" ref-type="bibr">15</xref>). The clinical manifestations of HSS, in addition to rash, are accompanied with multi-organ involvement and eosinophilia, while those of SJS and TEN are blister-like rash on skin, involving mucosal and multiple organs, accompanied with systemic excoriation. Excoriation of less than 10&#x0025; indicates SJS, excoriation of greater than 30&#x0025; indicates TEN, and excoriation between 10 and 30&#x0025; indicates SJS/TEN overlap (<xref rid="b5-etm-0-0-5801" ref-type="bibr">5</xref>). The mortality rate of TEN is as high as 30&#x2013;50&#x0025; (<xref rid="b16-etm-0-0-5801" ref-type="bibr">16</xref>). It has been found that male patients are more likely to suffer from serious cADRs than female patients (<xref rid="b17-etm-0-0-5801" ref-type="bibr">17</xref>), and cADRs occur more easily in infants and the elderly (<xref rid="b18-etm-0-0-5801" ref-type="bibr">18</xref>). The incidence rate of cADRs varies from country to country: it is 6.60&#x0025; in Japan, 5.88&#x0025; in Australia, 27.70&#x0025; in Singapore, 19.00&#x0025; in India, 35.70&#x0025; in Malaysia and 26.00&#x0025; in Taiwan (<xref rid="b19-etm-0-0-5801" ref-type="bibr">19</xref>). It can be seen that the genetic specificity has an important influence on the occurrence of cADRs.</p>
<p>Studies have confirmed that <italic>HLA</italic> gene is closely related to serious cADRs induced by a variety of drugs. For example, <italic>HLA-B&#x002A;58:01</italic> is a susceptibility gene for serious cADRs caused by allopurinol, and <italic>HLA-B&#x002A;57:01</italic> is a susceptible gene for serious cADRs caused by Abacavir (<xref rid="b20-etm-0-0-5801" ref-type="bibr">20</xref>). Determining the susceptibility genes of drug-induced cADRs in the clinic can provide a genetic basis for the prevention of cADRs, which is a great progress in drug gene genetics. The <italic>HLA</italic> gene is located in the 21.31 region of the short arm of human chromosome 6, which has obvious genetic characteristics, and its encoded protein is closely related to the immune rejection after organ transplantation (<xref rid="b10-etm-0-0-5801" ref-type="bibr">10</xref>). <italic>HLA</italic> is divided into class I, II and III genes according to the different functions and locations of encoded molecule, of which <italic>HLA-A, B</italic> and C belong to class I genes (<xref rid="b9-etm-0-0-5801" ref-type="bibr">9</xref>). In recent years, a large number of studies have confirmed that <italic>HLA</italic> gene has a significant correlation with AED-induced cADRs, and patients carrying the <italic>HLA</italic> susceptibility gene are prone to cADRs (<xref rid="b9-etm-0-0-5801" ref-type="bibr">9</xref>,<xref rid="b10-etm-0-0-5801" ref-type="bibr">10</xref>).</p>
<p><italic>HLA-B&#x002A;15:02</italic> locus is studied the most currently. It was found for the first time in 2004 that <italic>HLA-B&#x002A;15:02</italic> is significantly associated with carbamazepine-induced SJS in a Chinese Han population in Taiwan (<xref rid="b21-etm-0-0-5801" ref-type="bibr">21</xref>). Subsequently, it was confirmed that <italic>HLA-B&#x002A;15:02</italic> is closely associated with carbamazepine-induced SJS/TEN in different ethnic groups in South Asia, such as Thailand, Malaysia, India and Vietnam (<xref rid="b22-etm-0-0-5801" ref-type="bibr">22</xref>&#x2013;<xref rid="b25-etm-0-0-5801" ref-type="bibr">25</xref>). Further studies in Han population found that the correlation of <italic>HLA-B&#x002A;15:02</italic> is related to the degree of skin peeling in SJS/TEN (<xref rid="b26-etm-0-0-5801" ref-type="bibr">26</xref>). The correlation between <italic>HLA-B&#x002A;15:02</italic> and cADRs has an obvious race specificity, and it is not found in Japanese and European populations. It is speculated that it is related to the very low distribution frequency of <italic>HLA-B&#x002A;15:02</italic> in these populations (<xref rid="b7-etm-0-0-5801" ref-type="bibr">7</xref>,<xref rid="b27-etm-0-0-5801" ref-type="bibr">27</xref>). However, the distribution frequencies of <italic>HLA-B&#x002A;15:02</italic> in China, Indian and Philippines are as high as 8, 21 and 34&#x0025;, respectively (<xref rid="b20-etm-0-0-5801" ref-type="bibr">20</xref>,<xref rid="b25-etm-0-0-5801" ref-type="bibr">25</xref>). The present findings have shown that <italic>HLA-B&#x002A;15:02</italic> is a risk factor for carbamazepine-induced cADRs in the Asian population. The present findings have also confirmed that <italic>HLA-B&#x002A;15:02</italic> was strongly associated with AED-induced cADRs in Han population in Shanghai, which was consistent with the study on Han population in other areas of China. Thus, now it is recommended by many regulators that <italic>HLA-B&#x002A;15:02</italic> genotyping be performed before administration of carbamazepine and other AEDs, thereby reducing the incidence of cADRs (<xref rid="b22-etm-0-0-5801" ref-type="bibr">22</xref>,<xref rid="b25-etm-0-0-5801" ref-type="bibr">25</xref>,<xref rid="b28-etm-0-0-5801" ref-type="bibr">28</xref>).</p>
<p>HLA-A&#x002A;31:01 is another genotype that is closely related to AED-induced cADRs. The distribution frequencies of HLA-A&#x002A;31:01 in Chinese Han population, Japanese, Korean and Caucasian population are 2.2, 9.3, 5 and 4.2&#x0025;, respectively. However, its distribution frequency was as low as 0.01&#x0025; in an African population (<xref rid="b29-etm-0-0-5801" ref-type="bibr">29</xref>). A number of studies in Japanese and European populations have shown that HLA-A&#x002A;31:01 is strongly associated with AED-induced cADRs (<xref rid="b27-etm-0-0-5801" ref-type="bibr">27</xref>,<xref rid="b30-etm-0-0-5801" ref-type="bibr">30</xref>). Genin <italic>et al</italic> (<xref rid="b31-etm-0-0-5801" ref-type="bibr">31</xref>) found in meta-analysis in different ethnic groups that HLA-A&#x002A;31:01 is significantly associated with the carbamazepine-induced HSS (OR=13.2, 95&#x0025; CI=8-20.8), indicating that <italic>HLA-A&#x002A;31:01</italic> is a specific susceptibility gene for carbamazepine-induced HSS. Another meta-analysis found that (<xref rid="b32-etm-0-0-5801" ref-type="bibr">32</xref>) the specificity of <italic>HLA-A&#x002A;31:01</italic> was 0.871&#x2013;0.972, the sensitivity was 0.262&#x2013;0.584, the negative predictive value was 0.921&#x2013;0.986 and the positive predictive value was 0.119&#x2013;0.427 in the prediction of cADRs via HLA-A&#x002A;31:01 gene screening in Han population in Japan, Europe and China (<xref rid="b32-etm-0-0-5801" ref-type="bibr">32</xref>). Therefore, it is recommended by Canada Pharmacogenomics Safety Network that <italic>HLA-A&#x002A;31:01</italic> gene screening be performed for patients before the application of carbamazepine, and carbamazepine be avoided for genetically positive patients (<xref rid="b25-etm-0-0-5801" ref-type="bibr">25</xref>). The present study also confirmed that HLA-A&#x002A;31:01 has a significant correlation with the AED-induced cADRs in a Han population in Shanghai, which is consistent with the result in previous cohort studies. Therefore, <italic>HLA-A&#x002A;31:01</italic> gene screening prior to the administration of AEDs plays an important role in the prevention of cADRs.</p>
<p>In conclusion, it was confirmed in the present study that <italic>HLA-B&#x002A;15:02</italic> and <italic>HLA-A&#x002A;31:01</italic> are significantly associated with cADRs in Chinese Han population in Shanghai, and <italic>HLA-B&#x002A;15:02</italic> and <italic>HLA-A&#x002A;31:01</italic> gene screening prior to the administration of AEDs can prevent the occurrence of cADRs. In this study, the sample size was small, and it was a mixed study on a number of AEDs; thus, the sample size should be increased, and the control study on single drug and the interaction research among multiple genes are needed in the future. This study only aimed at a single <italic>HLA</italic> gene. As such, other relevant risk or protective factors remain to be further studied.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>No funding was received.</p>
</sec>
<sec>
<title>Availability data and materials</title>
<p>The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Author&#x0027;s contributions</title>
<p>YH contributed to the conception of the study. JZ contributed significantly to analysis and manuscript preparation. XL performed the data analyses and wrote the manuscript. YS, MS and JW helped perform the analysis with constructive discussions.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>This experiment was approved by the Ethics Committee of Tianyou Hospital and family members of child patients signed the informed consent.</p>
</sec>
<sec>
<title>Consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
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</back>
<floats-group>
<table-wrap id="tI-etm-0-0-5801" position="float">
<label>Table I.</label>
<caption><p>PCR reaction parameters.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Step</th>
<th align="center" valign="bottom">Temperature (&#x00B0;C)</th>
<th align="center" valign="bottom">Time</th>
<th align="center" valign="bottom">Cycle</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1</td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">3 min</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">20 sec</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">60</td>
<td align="center" valign="top">20 sec</td>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">72</td>
<td align="center" valign="top">20 sec</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">10 sec</td>
<td align="center" valign="top">30</td>
</tr>
<tr>
<td/>
<td align="center" valign="top">60</td>
<td align="center" valign="top">15 sec</td>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">72</td>
<td align="center" valign="top">20 sec</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">4</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">10 min</td>
<td align="center" valign="top">&#x00A0;&#x00A0;1</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-etm-0-0-5801" position="float">
<label>Table II.</label>
<caption><p>Comparison of general data.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">Male/female (n)</th>
<th align="center" valign="bottom">Age (years)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">cADR</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">22/8</td>
<td char="&#x00B1;" align="char" valign="top">10.26&#x00B1;2.33</td>
</tr>
<tr>
<td align="left" valign="top">AED-tolerant</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">42/18</td>
<td char="&#x00B1;" align="char" valign="top">9.72&#x00B1;2.81</td>
</tr>
<tr>
<td align="left" valign="top">Normal</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">45/15</td>
<td char="&#x00B1;" align="char" valign="top">10.95&#x00B1;2.54</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tIII-etm-0-0-5801" position="float">
<label>Table III.</label>
<caption><p>Comparison of <italic>HLA-B&#x002A;15:02</italic> gene frequency between the cARD and AED-tolerant groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">Positive</th>
<th align="center" valign="bottom">Negative</th>
<th align="center" valign="bottom">Gene frequency (&#x0025;)</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup> test</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">cARD</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">83.33</td>
<td align="center" valign="top">46.886</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">AED-tolerant</td>
<td align="center" valign="top">&#x00A0;&#x00A0;7</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">11.67</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tIV-etm-0-0-5801" position="float">
<label>Table IV.</label>
<caption><p>Comparison of <italic>HLA-B&#x002A;15:02</italic> gene frequency between the cARD and normal groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">Positive</th>
<th align="center" valign="bottom">Negative</th>
<th align="center" valign="bottom">Gene frequency (&#x0025;)</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup> test</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">cARD</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5</td>
<td align="center" valign="top">83.33</td>
<td align="center" valign="top">65.385</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Normal</td>
<td align="center" valign="top">&#x00A0;&#x00A0;2</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3.33</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tV-etm-0-0-5801" position="float">
<label>Table V.</label>
<caption><p>Comparison of <italic>HLA-B&#x002A;15:02</italic> gene frequency between the AED-tolerant and normal groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">Positive</th>
<th align="center" valign="bottom">Negative</th>
<th align="center" valign="bottom">Gene frequency (&#x0025;)</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup> test</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">AED-tolerant</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">11.67</td>
<td align="center" valign="top">3.003</td>
<td align="center" valign="top">0.083</td>
</tr>
<tr>
<td align="left" valign="top">Normal</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">&#x00A0;&#x00A0;3.33</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tVI-etm-0-0-5801" position="float">
<label>Table VI.</label>
<caption><p>Comparison of <italic>HLA-A&#x002A;31:01</italic> gene frequency between the cARD and AED-tolerant groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">Positive</th>
<th align="center" valign="bottom">Negative</th>
<th align="center" valign="bottom">Gene frequency (&#x0025;)</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup> test</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">cARD</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">63.33</td>
<td align="center" valign="top">10.184</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">AED-tolerant</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">28.33</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tVII-etm-0-0-5801" position="float">
<label>Table VII.</label>
<caption><p>Comparison of <italic>HLA-A&#x002A;31:01</italic> gene frequency between the cARD and normal groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">Positive</th>
<th align="center" valign="bottom">Negative</th>
<th align="center" valign="bottom">Gene frequency (&#x0025;)</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup> test</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">cARD</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">63.33</td>
<td align="center" valign="top">21.223</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Normal</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">15.00</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tVIII-etm-0-0-5801" position="float">
<label>Table VIII.</label>
<caption><p>Comparison of <italic>HLA-A&#x002A;31:01</italic> gene frequency between the AED-tolerant and normal groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Group</th>
<th align="center" valign="bottom">Positive</th>
<th align="center" valign="bottom">Negative</th>
<th align="center" valign="bottom">Gene frequency (&#x0025;)</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup> test</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">AED-tolerant</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">28.33</td>
<td align="center" valign="top">3.184</td>
<td align="center" valign="top">0.074</td>
</tr>
<tr>
<td align="left" valign="top">Normal</td>
<td align="center" valign="top">&#x00A0;&#x00A0;9</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">15.00</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</article>
