Literature DB >> 29545860

ASAP1 gene polymorphisms are associated with susceptibility to tuberculosis in a Chinese Xinjiang Muslim population.

Xianhua Wang1, Aiguo Ma1, Xiuxia Han1, Aishan Litifu2, Feng Xue3.   

Abstract

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% CI: 1.004-1.537, P=0.046); While in rs1017281 site, G allele was associated with increased risk for TB (TB vs. control, OR: 0.792, 95% CI: 0.643-0.976, P=0.028). The recessive model of rs4733781 (CC vs. AC+AA) in Xinjiang Muslim populations was associated with a lower TB risk [P=0.003, OR=0.51 (0.324-0.802)], while the recessive model of rs1017281 (GG vs. AG+AA) was associated with a higher TB risk [P=0.011, OR=1.792 (1.135-2.828)]. 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.

Entities:  

Keywords:  ASAP1; Xinjiang Muslim population; single-nucleotide polymorphism; tuberculosis

Year:  2018        PMID: 29545860      PMCID: PMC5841074          DOI: 10.3892/etm.2018.5800

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


Introduction

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% of the global total cases in 2012 (1). 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 (2). 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 (3,4), which demonstrated that Xinjiang bore a heavy burden of TB. TB is caused by Mycobacterium tuberculosis (MTB), which has infected around a third of the world population (5), but only 10% of those infected progress to active disease in their lifetime, and up to 90% of infected people are asymptomatic with a latent infection (6). 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 (7–9). 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 (10–12). These indicated that host genetic factors are important determinants of TB susceptibility. The ASAP1 gene (known as AMAP1 or DDEF1), located at 8q24.1–8q24.2, 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 (13–15). ASAP1 has been implicated in regulating cell motility and invasion (16,17). It was found to functionally link with the progression and metastasis of tumor cells, including ovary cancer (18), prostate cancer (19), and breast cancer (20,21). Curtis et al (14) 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. Genome-wide association study is an effective way (9) to screen for the genes exerting the best population-wide impact on susceptibility to a multifactorial disease (22). By using this method, Curtis et al identified a novel ASAP1 gene which was associated with susceptibility to TB (14). Eleven single-nucleotide polymorphisms (SNP)s were identified with significant association with susceptibility to MTB (P<5×10−8). Seven out of the most significantly associated ASAP1 SNPs were individually genotyped to replicate their discovery, the most significant association was at rs4733781 (P=2.6×10−11). Then the associations between ASAP1 SNPs and susceptibility to MTB were studied in Chinese population, but not in Xinjiang minorities (23,24). As far as we know, it is the first study which explored association between ASAP1 SNPs and susceptibility to MTB in Xinjiang Muslim populations. Owing to population heterogeneity, different races have different causative polymorphisms (25). In this study, we selected a set of SNPs within the entire ASAP1 gene and used case-control analysis in Xinjiang Muslim populations to investigate whether ASAP1 SNP was associated with TB risk.

Materials and methods

Subject

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. 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. 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.

Blood sample collection, DNA isolation, purification and quality test

Peripheral blood samples (10 ml) was collected from each participants and stored at −80°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'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.

Gene polymorphism detection

SNP selection

According to Curtis et al (14), 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 Table I.
Table I.

Clinical characteristics of patients and controls.

CharacteristicsTB patientsControlχ2P-value
Number400380
Age (years)55.4±12.455.7±12.10.675
Nationality0.2810.869
  Uyghur322 (79.8%)306 (81.2%)
  Kazakhs46 (11.5%)44 (11.0%)
  Hui32 (8.8%)30 (7.9%)
Sex0.6660.415
  Male237 (59.2%)236 (62.1%)
  Female163 (40.8%)144 (37.9%)
Family history of TB1.3190.251
  Yes38 (9.5%)29 (7.2%)
  No362 (90.5%)371 (92.8%)

TB, tuberculosis.

Primer design

After searching the whole ASAP1 gene sequence in Genebank, 7 primers pairs were designed and synthetized by Shanghai Biological Engineering Company (Table II).
Table II.

SNPs with their primers.

SNP IDGeneSNPPrimer sequence (5′-3′)Annealing temperature (°C)Fragment size (bp)
rs10956514ASAP1A/GGGCCACTGGCAAAAATAAGC55320
AGTTGTCCAACTGCGGATAC
rs4733781ASAP1A/CCAAATGAACCCCCATAAAGG55238
CCAGTGGCTGCATCCTACAT
rs1017281ASAP1C/TTATCTAATGTGCAGGGGATTG55298
TCTCCCTTTTGCAGCTCACA
rs1469288ASAP1C/TTCCACACTGCTGAAAAATCTG55521
AAGGATGTGGGGAGTTGAGG
rs2033059ASAP1C/TACATACGTGGTGGTTGACTG54393
TCCCAAAGCACAGAGGAAGA
rs12680942ASAP1A/GGCTGCTATAAAGACCCAGAAG56207
GGCCATTTCTCCAAAGCCTCT
rs17285138ASAP1A/TCTGACTTGGTGCCAGCCTAC54319
TGCTTTCCCAGAGCTTTCAG

SNP, single-nucleotide polymorphism; ASAP1, Arf GTPase-activating protein-1.

Multiplex PCR amplification and product purification

SNPs were genotyped by multiplex PCR reaction using AmpliTaq Gold® 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.

SNP detection

Polymorphic loci genotypes were detected using Sanger sequencing.

Statistical analysis

Statistical power was calculated by a post hoc power analysis by G*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 χ2 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% confidence interval (CI). Haploview 4.2 (26) was used to performed linkage disequilibrium analysis. The tests were 2-sided and P<0.05 was considered to indicate a statistically significant difference.

Results

General characteristic of TB patients and healthy controls

The clinical characteristics of the total TB patients and healthy controls are summarized in Table III. TB patients were age matched with healthy controls. The age distribution between the patients (55.4±12.4 years) and controls (55.7±12.1 years) was not significantly different based on Mann-Whitney U test (P=0.675), as the data were non-normally distributed (Table I). Patients were also gender-matched with controls, no significant difference of gender was found between the two groups (χ2=0.666, P=0.415). Nationality of objects display no difference between patients and controls (χ2=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 (χ2=1.319, P=0.251). A post hoc power analysis showed that Power value equals 0.8620, meaning a high statistical effect (Fig. 1). 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.
Table III.

Genotyping of rs1469288, rs2033059, rs12680942, Rs17285138 in TB and control group in Xinjiang Muslin population.

Site/genotype/alleleSNPTB patientsControlOR (95% CI)P-value
rs1469288HWE(P)0.20
  GenotypeAA203 (50.8%)194 (51.1%)
AG169 (42.4%)160 (42.2%)
GG28 (6.8%)26 (6.7%)0.994
  AlleleA575 (71.9%)548 (72.1%)
G225 (28.1%)212 (27.9%)0.989 (0.793–1.233)0.919
rs2033059HWE(P)0.45
  GenotypeCC130 (32.5%)108 (28.5%)
CT192 (48.0%)203 (53.3%)
TT  78 (19.5%)  69 (18.2%)0.293
  AlleleC452 (56.5%)419 (55.1%)
T348 (43.5%)341 (44.9%)1.507 (0.866–1.291)0.586
rs12680942HWE(P)0.99
  GenotypeAA132 (33.0%)110 (29.0%)
AG183 (45.9%)202 (53.0%)
GG  85 (21.2%)  68 (17.9%)0.116
  AlleleA447 (55.9%)422 (55.5%)
G353 (44.1%)338 (44.5%)1.014 (0.83–1.239)0.89
rs17285138HWE(P)0.09
  GenotypeAA126 (31.6%)105 (27.7%)
AT204 (51.0%)204 (53.6%)
TT  70 (17.4%)  71 (18.7%)0.496
  AlleleA456 (57.0%)414 (54.5%)
T344 (43.0%)346 (45.5%)1.108 (0.907–1.353)0.315

HWE(P), Hardy-Weinberg equilibrium P-value; OR, odds ratio; CI, confidence intervals.

Figure 1.

Linkage disequilibrium (LD) patterns of seven SNPs among CHB (n=103). The left displays Pairwise D' and the right displays r2. Strong linkage disequilibrium is represented by a high percentage. The red squares without a number indicate 100%. The whole area was in strong linkage disequilibrium, can be used as a block.

Hardy-Weinberg equilibrium test

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<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>0.05) (Tables III and IV).
Table IV.

Genotyping of rs10956514, rs4733781, rs1017281 in TB and control group in Xinjiang Muslin population.

Site/genotype/alleleSNPTB patientsControlOR (95% CI)P-value
rs10956514HWE(P)0.013
  GenotypeGG136 (34.0%)133 (35.0%)
GA207 (51.8%)199 (52.4%)
AA  57 (14.2%)  48 (12.6%)0.799
  AlleleG479 (59.9%)465 (61.2%)
A321 (40.1%)295 (38.8%)0.947 (0.773–1.160)0.597
rs4733781HWE(P)0.12
  GenotypeAA194 (48.6%)174 (45.8%)
AC173 (43.2%)149 (39.2%)
CC33 (8.2%)57 (15%)0.012
  AlleleA561 (70.1%)497 (65.4%)
C239 (29.9%)263 (34.6%)1.242 (1.004–1.537)0.046
rs1017281HWE(P)0.56
  GenotypeAA165 (41.2%)171 (45.0%)
AG187 (46.8%)177 (46.6%)
GG58 (12.0%)32 (8.4%)0.034
  AlleleA517 (64.6%)519 (67.3%)
G283 (35.4%)241 (31.7%)0.792 (0.643–0.976)0.028

HWE(P), Hardy-Weinberg equilibrium P-value; OR, odds ratio; CI, confidence intervals. Bold text, statistically significant.

Genotype frequency distribution of ASAP1 gene SNPs in the Xinjiang Muslim population

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 Tables III and IV. Two polymorphisms were associated with TB (P<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 (Tables III and IV). The direction of effect for the associated alleles of rs4733781 and rs1017281 was the same as in Curtis et al (14).

Associations between genetic model of SNPs and TB risk

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+AC: OR, 0.51; 95% CI: 0.324–0.802; P=0.003) and co-dominant model (AA vs. CC: OR, 1.926; 95% CI: 1.198–3.097; P=0.006). rs1017281 site was associated with TB in the recessive model (GG vs. AA+AG: OR, 1.792; 95% CI: 1.135–2.828; P=0.011) and co-dominant model (AA vs. GG: OR, 0.532; 95% CI: 0.329–0.826; P=0.01) (Tables V and VI).
Table V.

Association of ASAP1 SNP genotypes with pulmonary TB under different genotype models.

ModelGenotypeCaseControlOR (95% CI)P-value
rs4733781AA194 (48.6%)174 (45.8%)1
CodominantAC173 (43.2%)149 (39.2%)0.96 (0.712–1.296)0.791
CC33 (8.2%)57 (15%)1.926 (1.198–3.097)0.006
DominantAA194 (48.5%)174 (45.8%)
AC+CC206 (51.5%)206 (54.2%)1.115 (0.841–1.477)0.448
RecessiveCC33 (8.2%)  57 (15.0%)
AC+AA367 (91.8%)323 (85.0%)0.51 (0.324–0.802)0.003
OverdominantAA+CC227 (56.8%)231 (60.8%)
AC173 (43.2%)149 (39.2%)0.846 (0.636–1.126)0.252
rs1017281AA165 (41.2%)171 (45.0%)1
CodominantAG187 (46.8%)177 (46.6%)0.913 (0.679–1.229)0.549
GG  58 (12.0%)32 (8.4%)0.532 (0.329–0.862)0.01
DominantAA165 (41.2%)171 (45.0%)
AG+GG235 (58.8%)209 (55.0%)0.858 (0.646–1.140)0.29
RecessiveGG  48 (12.0%)32 (8.4%)
AA+AG352 (88.0%)348 (91.0%)1.792 (1.135–2.828)0.011
OverdominantAA+GG213 (53.2%)203 (53.4%)
AG187 (46.8%)177 (46.6%)1.04 (0.786–1.375)0.785

Bold text, statistically significant.

Table VI.

The data of D' and r2 among 7 SNPs of ASPAP1 gene in the Chinese Xinjiang Muslim population.

L1L2D'r^2
rs1469288rs101728111
rs1469288rs1095651410.979
rs1469288rs1268094211
rs1469288rs203305910.959
rs1469288rs473378111
rs1469288rs1728513810.979
rs1017281rs1095651410.979
rs1017281rs1268094211
rs1017281rs203305910.959
rs1017281rs473378111
rs1017281rs1728513810.979
rs10956514rs1268094210.979
rs10956514rs203305910.979
rs10956514rs473378110.979
rs10956514rs172851380.9790.958
rs12680942rs203305910.959
rs12680942rs473378111
rs12680942rs1728513810.979
rs2033059rs473378110.959
rs2033059rs1728513810.979
rs4733781rs1728513810.979

Linkage disequilibrium analysis

Haploview 4.2 was used to performed linkage disequilibrium analysis. As shown in Fig. 2, 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.
Figure 2.

Linkage disequilibrium analysis.

Discussion

Xinjiang Uygur Autonomous Region bears heavier tuberculosis (TB) burden than other areas in China (3). The selection of candidate genes and detection of their polymorphism sites have been considered breakthroughs of TB prevention and treatment. Curtis et al (14) found single-nucleotide polymorphisms of ASAP1 gene was associated with the susceptibility to TB in the Russian population (14), while Hu et al (23) and Miao et al (24) 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. 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 et al (23) and Miao et al (24) 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 (25). In addition, numerous gene studies indicated that the risk variants of genetic heterogeneity and ethnicity specificity was associated with TB (27,28). 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 Mycobacterium tuberculosis (MTB)-infected DCs, which may contribute to TB pathogenesis (14). Other co-variables may not be excluded, such as socio-economic factors, nutritional status, and interactions between genes (29). 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. 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+AA) in Xinjiang Muslim populations tended to be related with a lower TB risk [P=0.003, OR=0.51 (0.324–0.802)], while the recessive model of rs1017281 (GG vs. AA+AG) seemed to be related with a higher TB risk [P=0.011, OR=1.792 (1.135–2.828)].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. 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.
  29 in total

Review 1.  Susceptibility to mycobacterial infections: the importance of host genetics.

Authors:  R Bellamy
Journal:  Genes Immun       Date:  2003-01       Impact factor: 2.676

2.  CrkL directs ASAP1 to peripheral focal adhesions.

Authors:  Atsushi Oda; Ikuo Wada; Koichi Miura; Katsuya Okawa; Toshihiko Kadoya; Takashi Kato; Hiroshi Nishihara; Masae Maeda; Shinya Tanaka; Kazuo Nagashima; Chiaki Nishitani; Kazuhiko Matsuno; Masaho Ishino; Laura M Machesky; Hiroyoshi Fujita; Paul Randazzo
Journal:  J Biol Chem       Date:  2003-01-08       Impact factor: 5.157

3.  [Studies on tuberculosis in twins].

Authors:  E VARPELA
Journal:  Duodecim       Date:  1957

4.  Expression of AMAP1, an ArfGAP, provides novel targets to inhibit breast cancer invasive activities.

Authors:  Yasuhito Onodera; Shigeru Hashimoto; Ari Hashimoto; Masaki Morishige; Yuichi Mazaki; Atsuko Yamada; Eiji Ogawa; Masashi Adachi; Takaki Sakurai; Toshiaki Manabe; Hiromi Wada; Nariaki Matsuura; Hisataka Sabe
Journal:  EMBO J       Date:  2005-02-17       Impact factor: 11.598

5.  Human and tuberculosis co-evolution: An integrative view.

Authors:  Pascale Perrin
Journal:  Tuberculosis (Edinb)       Date:  2015-02-13       Impact factor: 3.131

6.  [Tuberculosis in a pair of twins--the use of molecular biology methods for the detection of the source of infection].

Authors:  Uri Rubinstein; Jacob Schachter; Nehama Sharon; Ruth Talnir; Jacob Amir
Journal:  Harefuah       Date:  2007-03

7.  [Surveillance of Mycobacterium tuberculosis resistance to antituberculosis drugs].

Authors:  María Consuelo Garzón; Dailyn Yorledy Angée; Claudia Llerena; Dora Leticia Orjuela; Jorge Ernesto Victoria
Journal:  Biomedica       Date:  2008-09       Impact factor: 0.935

8.  ASAP1, a gene at 8q24, is associated with prostate cancer metastasis.

Authors:  Dong Lin; Akira Watahiki; Jane Bayani; Fang Zhang; Lin Liu; Victor Ling; Marianne D Sadar; John English; Ladan Fazli; Alan So; Peter W Gout; Martin Gleave; Jeremy A Squire; Yu-Zhuo Wang
Journal:  Cancer Res       Date:  2008-06-01       Impact factor: 12.701

9.  CISH and susceptibility to infectious diseases.

Authors:  Chiea C Khor; Fredrik O Vannberg; Stephen J Chapman; Haiyan Guo; Sunny H Wong; Andrew J Walley; Damjan Vukcevic; Anna Rautanen; Tara C Mills; Kwok-Chiu Chang; Kai-Man Kam; Amelia C Crampin; Bagrey Ngwira; Chi-Chiu Leung; Cheuk-Ming Tam; Chiu-Yeung Chan; Joseph J Y Sung; Wing-Wai Yew; Kai-Yee Toh; Stacey K H Tay; Dominic Kwiatkowski; Christian Lienhardt; Tran-Tinh Hien; Nicholas P Day; Nobert Peshu; Kevin Marsh; Kathryn Maitland; J Anthony Scott; Thomas N Williams; James A Berkley; Sian Floyd; Nelson L S Tang; Paul E M Fine; Denise L M Goh; Adrian V S Hill
Journal:  N Engl J Med       Date:  2010-05-19       Impact factor: 91.245

10.  AMAP1 as a negative-feedback regulator of nuclear factor-κB under inflammatory conditions.

Authors:  Dat Nguyen Tien; Masako Kishihata; Ayumu Yoshikawa; Ari Hashimoto; Hisataka Sabe; Eiichiro Nishi; Kaeko Kamei; Hidenori Arai; Toru Kita; Takeshi Kimura; Masayuki Yokode; Noboru Ashida
Journal:  Sci Rep       Date:  2014-05-28       Impact factor: 4.379

View more
  4 in total

1.  A Common Variant of ASAP1 Is Associated with Tuberculosis Susceptibility in the Han Chinese Population.

Authors:  Cheng Chen; Qi Zhao; Yan Shao; Yan Li; Honghuan Song; Guoli Li; Limei Zhu; Wei Lu; Biao Xu
Journal:  Dis Markers       Date:  2019-04-08       Impact factor: 3.434

2.  Polymorphisms in the ASAP1 and SP110 Genes and Its Association with the Susceptibility to Pulmonary Tuberculosis in a Mongolian Population.

Authors:  Xiaogang Cui; Tianqi Yuan; Pengyuan Ning; Jie Han; Yue Liu; Jiao Feng; Fan Lian; Mingyuan Hao; Li Dong; Jinqi Hao; Li Xing; Changxin Wu
Journal:  J Immunol Res       Date:  2022-09-20       Impact factor: 4.493

3.  Association of human leukocyte antigens-DQB2/DPA1/DPB1 polymorphism and pulmonary tuberculosis in the Chinese Uygur population.

Authors:  Xue Wang; Xudong Cao; Wanjiang Zhang; Le Zhang; Lijun Lu; Xinyue Li; Saeed El-Ashram; Jiangdong Wu; Chuangfu Chen
Journal:  Mol Genet Genomic Med       Date:  2019-01-01       Impact factor: 2.183

4.  Asap1 Affects the Susceptibility of Zebrafish to Mycobacterium by Regulating Macrophage Migration.

Authors:  Jia Cui; Guangxin Chen; Da Wen; Yuhuan Wang; Zhonghua Zhao; Changxin Wu
Journal:  Front Cell Infect Microbiol       Date:  2020-10-29       Impact factor: 5.293

  4 in total

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