scholarly journals Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  

Abstract Background: lncRNA MIR17HG was upregulated in glioma, and involved glioma proliferation, migration, invasion and promoted apoptosis. However, the role of MIR17HG polymorphisms on the occurrence and prognosis of glioma is not obvious. Methods: In the study, 592 glioma patients and 502 control subjects conducted. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relation of MIR17HG SNPs to glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs. Results: We found that rs7318578 (OR = 2.25, p = 3.18x10-5) was significantly associated with glioma susceptibility. Rs17735387 (OR = 1.53, p = 9.05x10-3) and rs7336610 (OR = 1.35, p = 0.016) had a higher glioma susceptibility in the subgroup with age < 40 years. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) improved glioma prognosis. GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. Conclusion: Our study firstly reported that MIR17HG polymorphisms, especially rs7318578, might be risk factors for glioma susceptibility and rs17735387 improved the prognosis of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis.

2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  

Abstract Background: lncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear.Methods: In the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs.Results: We found that rs7318578 (OR = 2.25, p = 3.18´10-5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age < 40 years, rs17735387 (OR = 1.53, p = 9.05´10-3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ³ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002).Conclusion: Our study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis.


2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  

Abstract BackgroundlncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear.MethodsIn the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs.ResultsWe found that rs7318578 (OR = 2.25, p = 3.18x10-5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age < 40 years, rs17735387 (OR = 1.53, p = 9.05x10-3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ≥ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002).ConclusionOur study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis. In subsequent studies, we will continue to collect samples and follow up to further validate our findings and further explore the function of these MIR17HG SNPs in glioma in a larger sample size.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  

Abstract Background lncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear. Methods In the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs. Results We found that rs7318578 (OR = 2.25, p = 3.18 × 10− 5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age <  40 years, rs17735387 (OR = 1.53, p = 9.05 × 10− 3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with I-II glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ≥ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002). Conclusion Our study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis. In subsequent studies, we will continue to collect samples and follow up to further validate our findings and further explore the function of these MIR17HG SNPs in glioma in a larger sample size.


2022 ◽  
Vol 15 (1) ◽  
Author(s):  
Ruisong Wang ◽  
Rui Li ◽  
Ruiyu Liu

Abstract Background Genetic polymorphisms play a crucial role in the development of osteonecrosis of the femoral head (ONFH). This study mainly explored the association of IL-6 variants and ONFH susceptibility among the Chinese Han population. Methods Two variants (rs2069837, and rs13306435) in the IL-6 gene were identified and genotyped from 566 patients with ONFH and 566 healthy controls. The associations between IL-6 polymorphisms and ONFH susceptibility were assessed using odds ratio (OR) and 95% confidence interval (95% CI) via logistic regression. The potential function of these two variants was predicted by the HaploReg online database. Results The results of the overall analysis revealed that IL-6 rs2069837 was correlated with decreased risk of ONFH among the Chinese Han population (p < 0.05). In stratified analysis, rs2069837 also reduced the susceptibility to ONFH in older people (> 51 years), males, nonsmokers, and nondrinkers (p < 0.05). However, no associations between rs13306435 and ONFH susceptibility were observed (p > 0.05). Conclusions To sum up, we suggested that rs2069837 G>A polymorphism in the IL-6 gene was significantly associated with a decreased risk of ONFH among the Chinese Hans. These findings underscored the crucial role of IL-6 rs2069837 in the occurrence of ONFH.


PLoS ONE ◽  
2011 ◽  
Vol 6 (11) ◽  
pp. e27481 ◽  
Author(s):  
Li Zhou ◽  
Hu Ding ◽  
Xiaomin Zhang ◽  
Meian He ◽  
Suli Huang ◽  
...  

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Xuejun Yang ◽  
Haiyu Jia ◽  
Wenhua Xing ◽  
Feng Li ◽  
Manglai Li ◽  
...  

Tumor Biology ◽  
2015 ◽  
Vol 37 (4) ◽  
pp. 4777-4784 ◽  
Author(s):  
Fangyuan Shen ◽  
Jiejun Chen ◽  
Shicheng Guo ◽  
Yinghui Zhou ◽  
Yabiao Zheng ◽  
...  

2018 ◽  
Vol 38 (5) ◽  
Author(s):  
Li-li Liang ◽  
Lin Chen ◽  
Meng-yuan Zhou ◽  
Meng-yun Cai ◽  
Jie Cheng ◽  
...  

Endothelin-1 (ET-1) plays important roles in endothelial dysfunction, vascular physiology, inflammation, and atherosclerosis. Nonetheless, the role of ET-1 (EDN1) gene variants on coronary artery disease (CAD) risk remains poorly understood. The aim of the present study was to evaluate the role of EDN1 gene polymorphisms on individual susceptibility to CAD. We genotyped five tagSNPs (single-nucleotide polymorphisms) (rs6458155, rs4145451, rs9369217, rs3087459, and rs2070699) within EDN1 gene in 525 CAD patients and 675 control subjects. In a multivariate logistic regression analysis, we detected an association of rs6458155 in EDN1 gene with the CAD risk; compared with the TT homozygotes, the CT heterozygotes (odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.02–2.29, P=0.040) and the CC homozygotes (OR = 1.55, 95% CI = 1.01–2.36, P=0.043) were statistically significantly associated with the increased risk for CAD. A similar trend of the association was found in dominant model (OR = 1.53, 95% CI = 1.05–2.25, P=0.029). Consistently, the haplotype rs6458155C-rs4145451C containing rs6458155 C allele exhibited the increased CAD risk (OR = 1.22, 95% CI = 1.03–1.43, and P=0.018). In addition, CT genotype of rs6458155 conferred the increased plasma ET-1 levels compared with TT genotype (P<0.05). No association of the other four tagSNPs in EDN1 gene with CAD risk was observed. In conclusion, our study provides the first evidence that EDN1 tagSNP rs6458155 is associated with CAD risk in the Chinese Han population, which is probably due to the influence of the circulating ET-1 levels.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Hailing Zhao ◽  
Haojun Zhang ◽  
Yan Wang ◽  
Tingting Zhao ◽  
Meihua Yan ◽  
...  

Diabetic kidney disease (DKD) is one of the most common complications of diabetes and the leading cause of end-stage renal disease. Here, we investigated the association of PNPLA2 gene variations with DKD susceptibility in a Chinese Han population. A total of 818 participants with type 2 diabetes were recruited in the case-control study, including 379 patients diagnosed with DKD. We observed that 2 tagSNPs, PNPLA2 rs28633403 (A>G) and rs1138714 (A>G), were associated with DKD (rs28633403: genotype, P=0.017; allele, P=0.015; rs1138714: genotype, P=0.029; allele, P=0.018). PNPLA2 rs1138693 (T>C), a missense SNP, showed no association with DKD (genotype, P=0.966; allele, P=0.845). Genetic model analysis revealed that minor allele G of PNPLA2 rs28633403 was a protective factor of DKD in a dominant model adjusted by confounders (AG+GG vs. AA: adjusted odds ratio (aOR), 0.619; 95% CI 0.447-0.857; P=0.004) and in an additive model (AG vs. AA: aOR, 0.633; 95% CI 0.447-0.895; P=0.010; GG vs. AA: aOR, 0.588; 95% CI 0.385-0.897; P=0.014). Minor allele G of PNPLA2 rs1138714 was associated with a higher risk of DKD in a dominant model adjusted by confounders (AG+GG vs. AA: adjusted odds ratio (aOR), 1.531; 95% CI 1.134-2.067; P=0.005) and in an additive model (AG vs. AA: aOR, 1.529; 95% CI 1.118-2.091; P=0.008). The combined effect of PNPLA2 rs28633403 AA+rs1138714 AG or GG genotype showed an association with DKD, adjusted by confounders (aOR, 2.194; 95% CI 1.378-3.492; P=0.001), which was considered statistically significant with a markedly increased risk of DKD after a Holm-Bonferroni correction for multiple tests (P<0.00125). Our results suggest that PNPLA2 rs28633403 and rs1138714 are significantly associated with the risk of DKD in a Chinese Han population with type 2 diabetes.


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