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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.2018.5800</article-id>
<article-id pub-id-type="publisher-id">ETM-0-0-5800</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>ASAP1 gene polymorphisms are associated with susceptibility to tuberculosis in a Chinese Xinjiang Muslim population</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Xianhua</given-names></name>
<xref rid="af1-etm-0-0-5800" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Ma</surname><given-names>Aiguo</given-names></name>
<xref rid="af1-etm-0-0-5800" ref-type="aff">1</xref>
<xref rid="c1-etm-0-0-5800" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Han</surname><given-names>Xiuxia</given-names></name>
<xref rid="af1-etm-0-0-5800" ref-type="aff">1</xref>
<xref rid="c1-etm-0-0-5800" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Litifu</surname><given-names>Aishan</given-names></name>
<xref rid="af2-etm-0-0-5800" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Xue</surname><given-names>Feng</given-names></name>
<xref rid="af3-etm-0-0-5800" ref-type="aff">3</xref></contrib>
</contrib-group>
<aff id="af1-etm-0-0-5800"><label>1</label>The School of Public Health, Qingdao University Medical College, Qingdao, Shandong 266021, P.R. China</aff>
<aff id="af2-etm-0-0-5800"><label>2</label>Department of Respiratory Medicine, Xinjiang Uygur Autonomous Region Chest Hospital, Urumqi, Xinjiang, 830049, P.R. China</aff>
<aff id="af3-etm-0-0-5800"><label>3</label>Department of Tuberculosis, Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang 830001, P.R. China</aff>
<author-notes>
<corresp id="c1-etm-0-0-5800"><italic>Correspondence to</italic>: Dr Aiguo Ma or Dr Xiuxia Han, The School of Public Health, Qingdao University Medical College, 38 Dengzhou Road, Qingdao, Shandong 266021, P.R. China, E-mail: <email>aiguomamed@163.com</email>, E-mail: <email>xiuxiahanmed@163.com</email></corresp>
</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>3392</fpage>
<lpage>3398</lpage>
<history>
<date date-type="received"><day>22</day><month>08</month><year>2017</year></date>
<date date-type="accepted"><day>10</day><month>01</month><year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Wang 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>Seven single-nucleotide polymorphism (SNP) sites located in ASAP1 gene have been found associated with tuberculosis (TB) susceptibility by genome-wide association studies in Russia. The case-control study was carried out to test whether these seven SNPs were associated with susceptibility to TB in a Chinese Xinjiang Muslim population. The seven SNPs were genotyped in a case-control design that included 780 Xinjiang Muslim subjects (400 TB patients and 380 controls). Multiplex PCR and direct sequencing were used to detect ASAP1 gene polymorphisms. Hardy-Weinberg equilibrium test was performed to test whether the sample was from genetic equilibrium population. The associations of SNPs with TB risk were determined by the distributions of allelic frequencies and different genetic models. Significant differences of the allelic distribution of rs4733781 and rs1017281 in ASAP1 gene were observed between control group and TB group. A allele of rs4733781 was associated with TB risk (TB vs. control, OR=1.242; 95&#x0025; CI: 1.004&#x2013;1.537, P=0.046); While in rs1017281 site, G allele was associated with increased risk for TB (TB vs. control, OR: 0.792, 95&#x0025; CI: 0.643&#x2013;0.976, P=0.028). The recessive model of rs4733781 (CC vs. AC&#x002B;AA) in Xinjiang Muslim populations was associated with a lower TB risk [P=0.003, OR=0.51 (0.324&#x2013;0.802)], while the recessive model of rs1017281 (GG vs. AG&#x002B;AA) was associated with a higher TB risk [P=0.011, OR=1.792 (1.135&#x2013;2.828)]. Using case-control analysis, we identified that two genetic polymorphism sites in the ASAP1 relate to host susceptibility of TB in a Chinese Xinjiang Muslim population.</p>
</abstract>
<kwd-group>
<kwd>ASAP1</kwd>
<kwd>tuberculosis</kwd>
<kwd>single-nucleotide polymorphism</kwd>
<kwd>Xinjiang Muslim population</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Tuberculosis (TB) is one of the public health emergencies all over the world and severely affects human health. TB is especially epidemic in China, which accounted for 12&#x0025; of the global total cases in 2012 (<xref rid="b1-etm-0-0-5800" ref-type="bibr">1</xref>). According to 2010 National Technical Steering Group of the Epidemiological Sampling Survey for TB, the weighted prevalence of active, smear-positive, bacteriological positive pulmonary TB were 459/100,000, 66/100,000, 119/100,000, respectively (<xref rid="b2-etm-0-0-5800" ref-type="bibr">2</xref>). The geographical distribution of TB prevalence presented that it was relatively low in the eastern parts and high in the western parts, and the prevalence rates of active pulmonary TB, Mycobacterium-positive pulmonary TB and smear-positive pulmonary TB in Xinjiang Uygur autonomous region were all higher than that in other provinces (<xref rid="b3-etm-0-0-5800" ref-type="bibr">3</xref>,<xref rid="b4-etm-0-0-5800" ref-type="bibr">4</xref>), which demonstrated that Xinjiang bore a heavy burden of TB.</p>
<p>TB is caused by <italic>Mycobacterium tuberculosis</italic> (MTB), which has infected around a third of the world population (<xref rid="b5-etm-0-0-5800" ref-type="bibr">5</xref>), but only 10&#x0025; of those infected progress to active disease in their lifetime, and up to 90&#x0025; of infected people are asymptomatic with a latent infection (<xref rid="b6-etm-0-0-5800" ref-type="bibr">6</xref>). Susceptibility to TB varies between different people. Since 1890s, how genetic factors affect clinical outcomes with MTB infection was illustrated by a series of research. For example, several twin studies have found that concordance of TB was higher in monozygotic twins compared to dizygotic twins (<xref rid="b7-etm-0-0-5800" ref-type="bibr">7</xref>&#x2013;<xref rid="b9-etm-0-0-5800" ref-type="bibr">9</xref>). Beyond that, adoption research, Genome-wide association studies, and case-control analysis have been performed to demonstrate that the associations between individual genetics and susceptibility to TB (<xref rid="b10-etm-0-0-5800" ref-type="bibr">10</xref>&#x2013;<xref rid="b12-etm-0-0-5800" ref-type="bibr">12</xref>). These indicated that host genetic factors are important determinants of TB susceptibility.</p>
<p>The ASAP1 gene (known as AMAP1 or DDEF1), located at 8q24.1&#x2013;8q24.2, encodes an Arf GTPase-activating protein (Arf GAP), which is a multifunctional scaffold protein that induces hydrolysis of GTP bound to the ADP ribosylation factor family GTP-binding (Arf) proteins (<xref rid="b13-etm-0-0-5800" ref-type="bibr">13</xref>&#x2013;<xref rid="b15-etm-0-0-5800" ref-type="bibr">15</xref>). ASAP1 has been implicated in regulating cell motility and invasion (<xref rid="b16-etm-0-0-5800" ref-type="bibr">16</xref>,<xref rid="b17-etm-0-0-5800" ref-type="bibr">17</xref>). It was found to functionally link with the progression and metastasis of tumor cells, including ovary cancer (<xref rid="b18-etm-0-0-5800" ref-type="bibr">18</xref>), prostate cancer (<xref rid="b19-etm-0-0-5800" ref-type="bibr">19</xref>), and breast cancer (<xref rid="b20-etm-0-0-5800" ref-type="bibr">20</xref>,<xref rid="b21-etm-0-0-5800" ref-type="bibr">21</xref>). Curtis <italic>et al</italic> (<xref rid="b14-etm-0-0-5800" ref-type="bibr">14</xref>) found that the expression of ASAP1 gene in MTB-infected dendritic cells was dramatically reduced, which may impair DC migration, suggesting a potential mechanism that predisposes to TB.</p>
<p>Genome-wide association study is an effective way (<xref rid="b9-etm-0-0-5800" ref-type="bibr">9</xref>) to screen for the genes exerting the best population-wide impact on susceptibility to a multifactorial disease (<xref rid="b22-etm-0-0-5800" ref-type="bibr">22</xref>). By using this method, Curtis <italic>et al</italic> identified a novel ASAP1 gene which was associated with susceptibility to TB (<xref rid="b14-etm-0-0-5800" ref-type="bibr">14</xref>). Eleven single-nucleotide polymorphisms (SNP)s were identified with significant association with susceptibility to MTB (P&#x003C;5&#x00D7;10<sup>&#x2212;8</sup>). Seven out of the most significantly associated <italic>ASAP1</italic> SNPs were individually genotyped to replicate their discovery, the most significant association was at rs4733781 (P=2.6&#x00D7;10<sup>&#x2212;11</sup>). Then the associations between ASAP1 SNPs and susceptibility to MTB were studied in Chinese population, but not in Xinjiang minorities (<xref rid="b23-etm-0-0-5800" ref-type="bibr">23</xref>,<xref rid="b24-etm-0-0-5800" ref-type="bibr">24</xref>). As far as we know, it is the first study which explored association between ASAP1 SNPs and susceptibility to MTB in Xinjiang Muslim populations.</p>
<p>Owing to population heterogeneity, different races have different causative polymorphisms (<xref rid="b25-etm-0-0-5800" ref-type="bibr">25</xref>). In this study, we selected a set of SNPs within the entire <italic>ASAP1</italic> gene and used case-control analysis in Xinjiang Muslim populations to investigate whether ASAP1 SNP was associated with TB risk.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Subject</title>
<p>In this study all the participants, including 400 TB patients and 380 control subjects, were of Xinjiang Muslim ethnicity. For TB patients, there were 322 Uyghur patients, 46 Kazak patients and 32 Hui nationality patients. Correspondingly, the Uyghur patients, Kazak patients and Hui nationality patients were 306, 44 and 30, respectively in the control group.</p>
<p>Eligible cases were adult patients who were newly diagnosed with active TB. These patients have evident lesions of TB through simple computed tomography, X-ray, and positive results of sputum smears and cultures for mycobacteria. Patients with HIV-infection, hepatitis virus infection, immunodeficiency disease, and other lung diseases were excluded from this cohort. Healthy controls were nationality-, age- and sex-matched Xinjiang minorities from Department of Respiratory Medicine, Xinjiang Uygur Autonomous Region Chest Hospital, the Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China. The controls were negative both for history of TB and T-SPOT assay. All participants were BCG vaccinated.</p>
<p>Each patient and control enrolled in this study provided a written informed consent. The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the Ethics Committee of Department of Respiratory Medicine, Xinjiang Uygur Autonomous Region Chest Hospital.</p>
</sec>
<sec>
<title>Blood sample collection, DNA isolation, purification and quality test</title>
<p>Peripheral blood samples (10 ml) was collected from each participants and stored at &#x2212;80&#x00B0;C. Genomic DNA was extracted from peripheral blood collected from 400 TB patients and 380 non-TB controls using a Genomic DNA Mini Preparation kit (Beyotime, Shanghai, China) according to the manufacturer&#x0027;s instructions. Then a reference gene ASAP1 was used for qualifying the extracted samples by polymerase chain reaction (PCR) and electrophoresis. Obvious imaging was regarded as qualified, or genomic DNA would be extracted again.</p>
</sec>
</sec>
<sec>
<title>Gene polymorphism detection</title>
<sec>
<title>SNP selection</title>
<p>According to Curtis <italic>et al</italic> (<xref rid="b14-etm-0-0-5800" ref-type="bibr">14</xref>), 7 polymorphic sites in ASAP1 gene were adopted in our study, including rs1017281, rs10956514, rs1469288, rs17285138, rs2033059, rs4733781, rs12680942. The details of primers are presented in <xref rid="tI-etm-0-0-5800" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>Primer design</title>
<p>After searching the whole ASAP1 gene sequence in Genebank, 7 primers pairs were designed and synthetized by Shanghai Biological Engineering Company (<xref rid="tII-etm-0-0-5800" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>Multiplex PCR amplification and product purification</title>
<p>SNPs were genotyped by multiplex PCR reaction using AmpliTaq Gold<sup>&#x00AE;</sup> 360 Master Mix (Applied Biosystems, Carlsbad, CA, USA), according to its protocol. The PCR reaction was designed to amplify fragments covering all 7 SNP loci. The PCR product was purified using PCR Clean Up kit (Beyotime) according to the protocol.</p>
</sec>
<sec>
<title>SNP detection</title>
<p>Polymorphic loci genotypes were detected using Sanger sequencing.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical power was calculated by a post hoc power analysis by G&#x002A;Power 3.1.9.2 software (Program written, conceptualized and designed by Franz, Universitat Kiel, Germany; freely available windows application software). The data were analyzed by SPSS 18.0 software (SPSS Inc., Chicago, IL). Continuous variables and categorical data were compared by &#x03C7;<sup>2</sup> test. Hardy-Weinberg equilibrium test was used to detect whether the two groups were in genetic equilibrium. Genotype frequency comparisons between groups were presented as odds ratio (OR) and 95&#x0025; confidence interval (CI). Haploview 4.2 (<xref rid="b26-etm-0-0-5800" ref-type="bibr">26</xref>) was used to performed linkage disequilibrium analysis. The tests were 2-sided and 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>General characteristic of TB patients and healthy controls</title>
<p>The clinical characteristics of the total TB patients and healthy controls are summarized in <xref rid="tIII-etm-0-0-5800" ref-type="table">Table III</xref>. TB patients were age matched with healthy controls. The age distribution between the patients (55.4&#x00B1;12.4 years) and controls (55.7&#x00B1;12.1 years) was not significantly different based on Mann-Whitney U test (P=0.675), as the data were non-normally distributed (<xref rid="tI-etm-0-0-5800" ref-type="table">Table I</xref>). Patients were also gender-matched with controls, no significant difference of gender was found between the two groups (&#x03C7;<sup>2</sup>=0.666, P=0.415). Nationality of objects display no difference between patients and controls (&#x03C7;<sup>2</sup>=0.281, P=0.869). Among 400 TB patients, 38 persons had family history of TB, while there were 29 persons with family history of TB in control group, no significance was found between two groups (&#x03C7;<sup>2</sup>=1.319, P=0.251). A post hoc power analysis showed that Power value equals 0.8620, meaning a high statistical effect (<xref rid="f1-etm-0-0-5800" ref-type="fig">Fig. 1</xref>). The parameters used in power analysis were as follows: cases, 400; controls, 380; prevalence, 0.00178; odds ratio, 1.5070; minor allele frequency, 0.3536.</p>
</sec>
<sec>
<title>Hardy-Weinberg equilibrium test</title>
<p>The rs10956514, rs1469288, rs2033059, rs4733781, rs1017281, rs17285138, rs12680942 SNPs were investigated in 400 pulmonary TB cases and 380 healthy controls in the Xinjiang Muslim population. rs10956514 site was not in Hardy-Weinberg equilibrium (P&#x003C;0.05), so it was excluded from our research. The last six SNPs were in Hardy-Weinberg equilibrium in the control group and the pulmonary TB group (P&#x003E;0.05) (<xref rid="tIII-etm-0-0-5800" ref-type="table">Tables III</xref> and <xref rid="tIV-etm-0-0-5800" ref-type="table">IV</xref>).</p>
</sec>
<sec>
<title>Genotype frequency distribution of ASAP1 gene SNPs in the Xinjiang Muslim population</title>
<p>We used the case-control analysis to examine whether 7 polymorphisms in the ASAP1 gene were associated with susceptibility to TB in Xinjiang Muslim population. The genotype and allelic frequencies of ASAP1 7 SNPs are summarized in <xref rid="tIII-etm-0-0-5800" ref-type="table">Tables III</xref> and <xref rid="tIV-etm-0-0-5800" ref-type="table">IV</xref>. Two polymorphisms were associated with TB (P&#x003C;0.05), while the other five SNPs showed no significance. For SNP rs4733781 the frequency of allele A in the pulmonary TB group was higher than that in the control group, and there was a significant difference between the two groups (P=0.046). While SNP rs1017281 was lower than that in the control group (<xref rid="tIII-etm-0-0-5800" ref-type="table">Tables III</xref> and <xref rid="tIV-etm-0-0-5800" ref-type="table">IV</xref>). The direction of effect for the associated alleles of rs4733781 and rs1017281 was the same as in Curtis <italic>et al</italic> (<xref rid="b14-etm-0-0-5800" ref-type="bibr">14</xref>).</p>
</sec>
<sec>
<title>Associations between genetic model of SNPs and TB risk</title>
<p>In order to find the optimal genetic model, we built codominant, dominant, recessive and overdominant model of ASAP1 gene polymorphisms. rs4733781 site was found related to the occurrence of TB in the recessive model (CC vs. AA&#x002B;AC: OR, 0.51; 95&#x0025; CI: 0.324&#x2013;0.802; P=0.003) and co-dominant model (AA vs. CC: OR, 1.926; 95&#x0025; CI: 1.198&#x2013;3.097; P=0.006). rs1017281 site was associated with TB in the recessive model (GG vs. AA&#x002B;AG: OR, 1.792; 95&#x0025; CI: 1.135&#x2013;2.828; P=0.011) and co-dominant model (AA vs. GG: OR, 0.532; 95&#x0025; CI: 0.329&#x2013;0.826; P=0.01) (<xref rid="tV-etm-0-0-5800" ref-type="table">Tables V</xref> and <xref rid="tVI-etm-0-0-5800" ref-type="table">VI</xref>).</p>
</sec>
<sec>
<title>Linkage disequilibrium analysis</title>
<p>Haploview 4.2 was used to performed linkage disequilibrium analysis. As shown in <xref rid="f2-etm-0-0-5800" ref-type="fig">Fig. 2</xref>, linkage disequilibrium patterns for the cluster of 7 SNPs in the ASAP1 gene genotyped in a Chinese Xinjiang Muslim population. The results showed that the whole areas were strong linkage disequilibrium and they can be used as a block. Therefore, rs4733781 and rs1017281 were linked together, they should be considered as one locus.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Xinjiang Uygur Autonomous Region bears heavier tuberculosis (TB) burden than other areas in China (<xref rid="b3-etm-0-0-5800" ref-type="bibr">3</xref>). The selection of candidate genes and detection of their polymorphism sites have been considered breakthroughs of TB prevention and treatment. Curtis <italic>et al</italic> (<xref rid="b14-etm-0-0-5800" ref-type="bibr">14</xref>) found single-nucleotide polymorphisms of ASAP1 gene was associated with the susceptibility to TB in the Russian population (<xref rid="b14-etm-0-0-5800" ref-type="bibr">14</xref>), while Hu <italic>et al</italic> (<xref rid="b23-etm-0-0-5800" ref-type="bibr">23</xref>) and Miao <italic>et al</italic> (<xref rid="b24-etm-0-0-5800" ref-type="bibr">24</xref>) found no associations. This may be partly due to differences between populations and small statistical power of the follow-up studies to detect weak genetic effects. However, no case-control analysis has been reported in Xinjiang Muslim population to date. Hence, investigating the susceptibility genes in Xinjiang Muslim population may provide access to control TB in Xinjiang Uygur autonomous region.</p>
<p>In the present study, we tested association of ASAP1 gene polymorphism and TB susceptibility in Xinjiang Muslim population by SNP genotyping. Our data suggested that ASAP1 rs4733781 and rs1017281 polymorphisms were associated with TB susceptibility in Xinjiang Muslim population (P=0.046 and P=0.028). While no significant associations were found in rs10956514, rs1469288, rs2033059, rs12680942 and rs17285138. In contrast to our findings, Hu <italic>et al</italic> (<xref rid="b23-etm-0-0-5800" ref-type="bibr">23</xref>) and Miao <italic>et al</italic> (<xref rid="b24-etm-0-0-5800" ref-type="bibr">24</xref>) found that ASAP1 gene polymorphism was not associated with TB susceptibility in Chinese population and Tibetan population. As known, there are ethnic variations of the allelic frequency distribution in the investigated polymorphism markers (<xref rid="b25-etm-0-0-5800" ref-type="bibr">25</xref>). In addition, numerous gene studies indicated that the risk variants of genetic heterogeneity and ethnicity specificity was associated with TB (<xref rid="b27-etm-0-0-5800" ref-type="bibr">27</xref>,<xref rid="b28-etm-0-0-5800" ref-type="bibr">28</xref>). An explanation for these divergent results may involve whether polymorphism itself acts functionally and confers a truly altered susceptibility to TB disease or the associated allele was an unknown disease susceptibility allele in linkage disequilibrium. In this regard, it is necessary to note that excessive reduction of ASAP1 expression results in the impaired migration of <italic>Mycobacterium tuberculosis</italic> (MTB)-infected DCs, which may contribute to TB pathogenesis (<xref rid="b14-etm-0-0-5800" ref-type="bibr">14</xref>). Other co-variables may not be excluded, such as socio-economic factors, nutritional status, and interactions between genes (<xref rid="b29-etm-0-0-5800" ref-type="bibr">29</xref>). Therefore, in-depth study on the function of these sites is needed. In addition, in light of marginal P-values of associations between ASAP1 SNPs and TB susceptibility (P=0.046 and P=0.028), multiple corrections should be considered in our later work, such as nationality, age, sex, smoking and family history. An independent Uyghur sample will be a good option to get converse results.</p>
<p>Regarding different genotype models, our results demonstrated that a trend of higher rs4733781 A allele and rs1017281 G allele in TB group compared to controls. Different genotype models revealed that subjects with rs4733781 A and rs1017281 G could be more susceptible to TB while subjects with rs4733781 T and rs1017281 A could be more resistant. The recessive model of rs4733781 (CC vs. AC&#x002B;AA) in Xinjiang Muslim populations tended to be related with a lower TB risk [P=0.003, OR=0.51 (0.324&#x2013;0.802)], while the recessive model of rs1017281 (GG vs. AA&#x002B;AG) seemed to be related with a higher TB risk [P=0.011, OR=1.792 (1.135&#x2013;2.828)].Additionally, the linkage disequilibrium analysis showed that rs4733781 and rs1017281 were linked together, they should be considered one locus. Next, profound studies will be performed to explore the potential functional roles of these two SNPs to help understand major findings. Do they participate in the immunoreaction caused by TB? What is the exact mechanism? Much work remains to be done.</p>
<p>In conclusion, ASAP1 rs4733781 and rs1017281 polymorphism may be a genetic factor for susceptibility to MTB among the Xinjiang Muslim populations. Further investigations of the functional role of SNP rs4733781 and rs1017281 and the genomic surrounding region are warranted.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>The study was supported by the National Natural Science Foundation of China (81673160) and The Xinjiang Uygur Autonomous Region Natural Science Foundation (2016D01B015) and The Xinjiang Uygur Autonomous Region Natural Science Foundation (2017D01A25).</p>
</sec>
<sec>
<title>Availability of 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>Authors&#x0027; contributions</title>
<p>XW contributed to the conception of the study; AM and XH contributed significantly to analysis and manuscript preparation; AL performed the data analyses and wrote the manuscript; FX helped perform the analysis with constructive discussions. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the Ethics Committee of Department of Respiratory Medicine, Xinjiang Uygur Autonomous Region Chest Hospital. Each patient and control enrolled in this study provided a written 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>
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<title>References</title>
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</back>
<floats-group>
<fig id="f1-etm-0-0-5800" position="float">
<label>Figure 1.</label>
<caption><p>Linkage disequilibrium (LD) patterns of seven SNPs among CHB (n=103). The left displays Pairwise D&#x0027; and the right displays r2. Strong linkage disequilibrium is represented by a high percentage. The red squares without a number indicate 100&#x0025;. The whole area was in strong linkage disequilibrium, can be used as a block.</p></caption>
<graphic xlink:href="etm-15-04-3392-g00.tif"/>
</fig>
<fig id="f2-etm-0-0-5800" position="float">
<label>Figure 2.</label>
<caption><p>Linkage disequilibrium analysis.</p></caption>
<graphic xlink:href="etm-15-04-3392-g01.tif"/>
</fig>
<table-wrap id="tI-etm-0-0-5800" position="float">
<label>Table I.</label>
<caption><p>Clinical characteristics of patients and controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristics</th>
<th align="center" valign="bottom">TB patients</th>
<th align="center" valign="bottom">Control</th>
<th align="center" valign="bottom">&#x03C7;<sup>2</sup></th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Number</td>
<td align="center" valign="top">400</td>
<td align="center" valign="top">380</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">55.4&#x00B1;12.4</td>
<td align="center" valign="top">55.7&#x00B1;12.1</td>
<td/>
<td align="center" valign="top">0.675</td>
</tr>
<tr>
<td align="left" valign="top">Nationality</td>
<td/>
<td/>
<td align="center" valign="top">0.281</td>
<td align="center" valign="top">0.869</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Uyghur</td>
<td align="center" valign="top">322 (79.8&#x0025;)</td>
<td align="center" valign="top">306 (81.2&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Kazakhs</td>
<td align="center" valign="top">46 (11.5&#x0025;)</td>
<td align="center" valign="top">44 (11.0&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Hui</td>
<td align="center" valign="top">32 (8.8&#x0025;)</td>
<td align="center" valign="top">30 (7.9&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td align="center" valign="top">0.666</td>
<td align="center" valign="top">0.415</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">237 (59.2&#x0025;)</td>
<td align="center" valign="top">236 (62.1&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">163 (40.8&#x0025;)</td>
<td align="center" valign="top">144 (37.9&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Family history of TB</td>
<td/>
<td/>
<td align="center" valign="top">1.319</td>
<td align="center" valign="top">0.251</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">38 (9.5&#x0025;)</td>
<td align="center" valign="top">29 (7.2&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">362 (90.5&#x0025;)</td>
<td align="center" valign="top">371 (92.8&#x0025;)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-etm-0-0-5800"><p>TB, tuberculosis.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-etm-0-0-5800" position="float">
<label>Table II.</label>
<caption><p>SNPs with their primers.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">SNP ID</th>
<th align="center" valign="bottom">Gene</th>
<th align="center" valign="bottom">SNP</th>
<th align="center" valign="bottom">Primer sequence (5&#x2032;-3&#x2032;)</th>
<th align="center" valign="bottom">Annealing temperature (&#x00B0;C)</th>
<th align="center" valign="bottom">Fragment size (bp)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">rs10956514</td>
<td align="center" valign="top">ASAP1</td>
<td align="center" valign="top">A/G</td>
<td align="left" valign="top">GGCCACTGGCAAAAATAAGC</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">320</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="top">AGTTGTCCAACTGCGGATAC</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">rs4733781</td>
<td align="center" valign="top">ASAP1</td>
<td align="center" valign="top">A/C</td>
<td align="left" valign="top">CAAATGAACCCCCATAAAGG</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">238</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="top">CCAGTGGCTGCATCCTACAT</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td align="center" valign="top">ASAP1</td>
<td align="center" valign="top">C/T</td>
<td align="left" valign="top">TATCTAATGTGCAGGGGATTG</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">298</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="top">TCTCCCTTTTGCAGCTCACA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="center" valign="top">ASAP1</td>
<td align="center" valign="top">C/T</td>
<td align="left" valign="top">TCCACACTGCTGAAAAATCTG</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">521</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="top">AAGGATGTGGGGAGTTGAGG</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">rs2033059</td>
<td align="center" valign="top">ASAP1</td>
<td align="center" valign="top">C/T</td>
<td align="left" valign="top">ACATACGTGGTGGTTGACTG</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">393</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="top">TCCCAAAGCACAGAGGAAGA</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">rs12680942</td>
<td align="center" valign="top">ASAP1</td>
<td align="center" valign="top">A/G</td>
<td align="left" valign="top">GCTGCTATAAAGACCCAGAAG</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">207</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="top">GGCCATTTCTCCAAAGCCTCT</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">rs17285138</td>
<td align="center" valign="top">ASAP1</td>
<td align="center" valign="top">A/T</td>
<td align="left" valign="top">CTGACTTGGTGCCAGCCTAC</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">319</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="left" valign="top">TGCTTTCCCAGAGCTTTCAG</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-etm-0-0-5800"><p>SNP, single-nucleotide polymorphism; ASAP1, Arf GTPase-activating protein-1.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-etm-0-0-5800" position="float">
<label>Table III.</label>
<caption><p>Genotyping of rs1469288, rs2033059, rs12680942, Rs17285138 in TB and control group in Xinjiang Muslin population.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Site/genotype/allele</th>
<th align="center" valign="bottom">SNP</th>
<th align="center" valign="bottom">TB patients</th>
<th align="center" valign="bottom">Control</th>
<th align="center" valign="bottom">OR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="left" valign="top">HWE(P)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.20</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Genotype</td>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">203 (50.8&#x0025;)</td>
<td align="center" valign="top">194 (51.1&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">AG</td>
<td align="center" valign="top">169 (42.4&#x0025;)</td>
<td align="center" valign="top">160 (42.2&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">28 (6.8&#x0025;)</td>
<td align="center" valign="top">26 (6.7&#x0025;)</td>
<td/>
<td align="center" valign="top">0.994</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Allele</td>
<td align="left" valign="top">A</td>
<td align="center" valign="top">575 (71.9&#x0025;)</td>
<td align="center" valign="top">548 (72.1&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">G</td>
<td align="center" valign="top">225 (28.1&#x0025;)</td>
<td align="center" valign="top">212 (27.9&#x0025;)</td>
<td align="center" valign="top">0.989 (0.793&#x2013;1.233)</td>
<td align="center" valign="top">0.919</td>
</tr>
<tr>
<td align="left" valign="top">rs2033059</td>
<td align="left" valign="top">HWE(P)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.45</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Genotype</td>
<td align="left" valign="top">CC</td>
<td align="center" valign="top">130 (32.5&#x0025;)</td>
<td align="center" valign="top">108 (28.5&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">CT</td>
<td align="center" valign="top">192 (48.0&#x0025;)</td>
<td align="center" valign="top">203 (53.3&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">TT</td>
<td align="center" valign="top">&#x00A0;&#x00A0;78 (19.5&#x0025;)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;69 (18.2&#x0025;)</td>
<td/>
<td align="center" valign="top">0.293</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Allele</td>
<td align="left" valign="top">C</td>
<td align="center" valign="top">452 (56.5&#x0025;)</td>
<td align="center" valign="top">419 (55.1&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">T</td>
<td align="center" valign="top">348 (43.5&#x0025;)</td>
<td align="center" valign="top">341 (44.9&#x0025;)</td>
<td align="center" valign="top">1.507 (0.866&#x2013;1.291)</td>
<td align="center" valign="top">0.586</td>
</tr>
<tr>
<td align="left" valign="top">rs12680942</td>
<td align="left" valign="top">HWE(P)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.99</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Genotype</td>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">132 (33.0&#x0025;)</td>
<td align="center" valign="top">110 (29.0&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">AG</td>
<td align="center" valign="top">183 (45.9&#x0025;)</td>
<td align="center" valign="top">202 (53.0&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">&#x00A0;&#x00A0;85 (21.2&#x0025;)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;68 (17.9&#x0025;)</td>
<td/>
<td align="center" valign="top">0.116</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Allele</td>
<td align="left" valign="top">A</td>
<td align="center" valign="top">447 (55.9&#x0025;)</td>
<td align="center" valign="top">422 (55.5&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">G</td>
<td align="center" valign="top">353 (44.1&#x0025;)</td>
<td align="center" valign="top">338 (44.5&#x0025;)</td>
<td align="center" valign="top">1.014 (0.83&#x2013;1.239)</td>
<td align="center" valign="top">0.89</td>
</tr>
<tr>
<td align="left" valign="top">rs17285138</td>
<td align="left" valign="top">HWE(P)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.09</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Genotype</td>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">126 (31.6&#x0025;)</td>
<td align="center" valign="top">105 (27.7&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">AT</td>
<td align="center" valign="top">204 (51.0&#x0025;)</td>
<td align="center" valign="top">204 (53.6&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">TT</td>
<td align="center" valign="top">&#x00A0;&#x00A0;70 (17.4&#x0025;)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;71 (18.7&#x0025;)</td>
<td/>
<td align="center" valign="top">0.496</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Allele</td>
<td align="left" valign="top">A</td>
<td align="center" valign="top">456 (57.0&#x0025;)</td>
<td align="center" valign="top">414 (54.5&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">T</td>
<td align="center" valign="top">344 (43.0&#x0025;)</td>
<td align="center" valign="top">346 (45.5&#x0025;)</td>
<td align="center" valign="top">1.108 (0.907&#x2013;1.353)</td>
<td align="center" valign="top">0.315</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-etm-0-0-5800"><p>HWE(P), Hardy-Weinberg equilibrium P-value; OR, odds ratio; CI, confidence intervals.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-etm-0-0-5800" position="float">
<label>Table IV.</label>
<caption><p>Genotyping of rs10956514, rs4733781, rs1017281 in TB and control group in Xinjiang Muslin population.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Site/genotype/allele</th>
<th align="center" valign="bottom">SNP</th>
<th align="center" valign="bottom">TB patients</th>
<th align="center" valign="bottom">Control</th>
<th align="center" valign="bottom">OR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">rs10956514</td>
<td align="left" valign="top">HWE(P)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.013</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Genotype</td>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">136 (34.0&#x0025;)</td>
<td align="center" valign="top">133 (35.0&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">GA</td>
<td align="center" valign="top">207 (51.8&#x0025;)</td>
<td align="center" valign="top">199 (52.4&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">&#x00A0;&#x00A0;57 (14.2&#x0025;)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;48 (12.6&#x0025;)</td>
<td/>
<td align="center" valign="top">0.799</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Allele</td>
<td align="left" valign="top">G</td>
<td align="center" valign="top">479 (59.9&#x0025;)</td>
<td align="center" valign="top">465 (61.2&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">A</td>
<td align="center" valign="top">321 (40.1&#x0025;)</td>
<td align="center" valign="top">295 (38.8&#x0025;)</td>
<td align="center" valign="top">0.947 (0.773&#x2013;1.160)</td>
<td align="center" valign="top">0.597</td>
</tr>
<tr>
<td align="left" valign="top">rs4733781</td>
<td align="left" valign="top">HWE(P)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.12</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Genotype</td>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">194 (48.6&#x0025;)</td>
<td align="center" valign="top">174 (45.8&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">AC</td>
<td align="center" valign="top">173 (43.2&#x0025;)</td>
<td align="center" valign="top">149 (39.2&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">CC</td>
<td align="center" valign="top">33 (8.2&#x0025;)</td>
<td align="center" valign="top">57 (15&#x0025;)</td>
<td/>
<td align="center" valign="top"><bold>0.012</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Allele</td>
<td align="left" valign="top">A</td>
<td align="center" valign="top">561 (70.1&#x0025;)</td>
<td align="center" valign="top">497 (65.4&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">C</td>
<td align="center" valign="top">239 (29.9&#x0025;)</td>
<td align="center" valign="top">263 (34.6&#x0025;)</td>
<td align="center" valign="top">1.242 (1.004&#x2013;1.537)</td>
<td align="center" valign="top"><bold>0.046</bold></td>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td align="left" valign="top">HWE(P)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.56</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Genotype</td>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">165 (41.2&#x0025;)</td>
<td align="center" valign="top">171 (45.0&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">AG</td>
<td align="center" valign="top">187 (46.8&#x0025;)</td>
<td align="center" valign="top">177 (46.6&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">58 (12.0&#x0025;)</td>
<td align="center" valign="top">32 (8.4&#x0025;)</td>
<td/>
<td align="center" valign="top"><bold>0.034</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Allele</td>
<td align="left" valign="top">A</td>
<td align="center" valign="top">517 (64.6&#x0025;)</td>
<td align="center" valign="top">519 (67.3&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">G</td>
<td align="center" valign="top">283 (35.4&#x0025;)</td>
<td align="center" valign="top">241 (31.7&#x0025;)</td>
<td align="center" valign="top">0.792 (0.643&#x2013;0.976)</td>
<td align="center" valign="top"><bold>0.028</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn4-etm-0-0-5800"><p>HWE(P), Hardy-Weinberg equilibrium P-value; OR, odds ratio; CI, confidence intervals. Bold text, statistically significant.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-etm-0-0-5800" position="float">
<label>Table V.</label>
<caption><p>Association of ASAP1 SNP genotypes with pulmonary TB under different genotype models.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom">Model</th>
<th align="center" valign="bottom">Genotype</th>
<th align="center" valign="bottom">Case</th>
<th align="center" valign="bottom">Control</th>
<th align="center" valign="bottom">OR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">rs4733781</td>
<td/>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">194 (48.6&#x0025;)</td>
<td align="center" valign="top">174 (45.8&#x0025;)</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Codominant</td>
<td align="left" valign="top">AC</td>
<td align="center" valign="top">173 (43.2&#x0025;)</td>
<td align="center" valign="top">149 (39.2&#x0025;)</td>
<td align="center" valign="top">0.96 (0.712&#x2013;1.296)</td>
<td align="center" valign="top">0.791</td>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">CC</td>
<td align="center" valign="top">33 (8.2&#x0025;)</td>
<td align="center" valign="top">57 (15&#x0025;)</td>
<td align="center" valign="top">1.926 (1.198&#x2013;3.097)</td>
<td align="center" valign="top"><bold>0.006</bold></td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Dominant</td>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">194 (48.5&#x0025;)</td>
<td align="center" valign="top">174 (45.8&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">AC&#x002B;CC</td>
<td align="center" valign="top">206 (51.5&#x0025;)</td>
<td align="center" valign="top">206 (54.2&#x0025;)</td>
<td align="center" valign="top">1.115 (0.841&#x2013;1.477)</td>
<td align="center" valign="top">0.448</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Recessive</td>
<td align="left" valign="top">CC</td>
<td align="center" valign="top">33 (8.2&#x0025;)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;57 (15.0&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">AC&#x002B;AA</td>
<td align="center" valign="top">367 (91.8&#x0025;)</td>
<td align="center" valign="top">323 (85.0&#x0025;)</td>
<td align="center" valign="top">0.51 (0.324&#x2013;0.802)</td>
<td align="center" valign="top"><bold>0.003</bold></td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Overdominant</td>
<td align="left" valign="top">AA&#x002B;CC</td>
<td align="center" valign="top">227 (56.8&#x0025;)</td>
<td align="center" valign="top">231 (60.8&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">AC</td>
<td align="center" valign="top">173 (43.2&#x0025;)</td>
<td align="center" valign="top">149 (39.2&#x0025;)</td>
<td align="center" valign="top">0.846 (0.636&#x2013;1.126)</td>
<td align="center" valign="top">0.252</td>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td/>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">165 (41.2&#x0025;)</td>
<td align="center" valign="top">171 (45.0&#x0025;)</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Codominant</td>
<td align="left" valign="top">AG</td>
<td align="center" valign="top">187 (46.8&#x0025;)</td>
<td align="center" valign="top">177 (46.6&#x0025;)</td>
<td align="center" valign="top">0.913 (0.679&#x2013;1.229)</td>
<td align="center" valign="top">0.549</td>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">&#x00A0;&#x00A0;58 (12.0&#x0025;)</td>
<td align="center" valign="top">32 (8.4&#x0025;)</td>
<td align="center" valign="top">0.532 (0.329&#x2013;0.862)</td>
<td align="center" valign="top"><bold>0.01</bold></td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Dominant</td>
<td align="left" valign="top">AA</td>
<td align="center" valign="top">165 (41.2&#x0025;)</td>
<td align="center" valign="top">171 (45.0&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">AG&#x002B;GG</td>
<td align="center" valign="top">235 (58.8&#x0025;)</td>
<td align="center" valign="top">209 (55.0&#x0025;)</td>
<td align="center" valign="top">0.858 (0.646&#x2013;1.140)</td>
<td align="center" valign="top">0.29</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Recessive</td>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">&#x00A0;&#x00A0;48 (12.0&#x0025;)</td>
<td align="center" valign="top">32 (8.4&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">AA&#x002B;AG</td>
<td align="center" valign="top">352 (88.0&#x0025;)</td>
<td align="center" valign="top">348 (91.0&#x0025;)</td>
<td align="center" valign="top">1.792 (1.135&#x2013;2.828)</td>
<td align="center" valign="top"><bold>0.011</bold></td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Overdominant</td>
<td align="left" valign="top">AA&#x002B;GG</td>
<td align="center" valign="top">213 (53.2&#x0025;)</td>
<td align="center" valign="top">203 (53.4&#x0025;)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">AG</td>
<td align="center" valign="top">187 (46.8&#x0025;)</td>
<td align="center" valign="top">177 (46.6&#x0025;)</td>
<td align="center" valign="top">1.04 (0.786&#x2013;1.375)</td>
<td align="center" valign="top">0.785</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn5-etm-0-0-5800"><p>Bold text, statistically significant.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tVI-etm-0-0-5800" position="float">
<label>Table VI.</label>
<caption><p>The data of D&#x0027; and r2 among 7 SNPs of ASPAP1 gene in the Chinese Xinjiang Muslim population.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">L1</th>
<th align="center" valign="bottom">L2</th>
<th align="center" valign="bottom">D&#x0027;</th>
<th align="center" valign="bottom">r<sup>&#x005E;2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="left" valign="top">rs1017281</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="left" valign="top">rs10956514</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="left" valign="top">rs12680942</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="left" valign="top">rs2033059</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.959</td>
</tr>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="left" valign="top">rs4733781</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">rs1469288</td>
<td align="left" valign="top">rs17285138</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td align="left" valign="top">rs10956514</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td align="left" valign="top">rs12680942</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td align="left" valign="top">rs2033059</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.959</td>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td align="left" valign="top">rs4733781</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">rs1017281</td>
<td align="left" valign="top">rs17285138</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs10956514</td>
<td align="left" valign="top">rs12680942</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs10956514</td>
<td align="left" valign="top">rs2033059</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs10956514</td>
<td align="left" valign="top">rs4733781</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs10956514</td>
<td align="left" valign="top">rs17285138</td>
<td align="left" valign="top">0.979</td>
<td align="left" valign="top">0.958</td>
</tr>
<tr>
<td align="left" valign="top">rs12680942</td>
<td align="left" valign="top">rs2033059</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.959</td>
</tr>
<tr>
<td align="left" valign="top">rs12680942</td>
<td align="left" valign="top">rs4733781</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">rs12680942</td>
<td align="left" valign="top">rs17285138</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs2033059</td>
<td align="left" valign="top">rs4733781</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.959</td>
</tr>
<tr>
<td align="left" valign="top">rs2033059</td>
<td align="left" valign="top">rs17285138</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
<tr>
<td align="left" valign="top">rs4733781</td>
<td align="left" valign="top">rs17285138</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">0.979</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</article>
