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Background Malignant gliomas are the most common primary brain tumors. Various genetic factors play important roles in the development and prognosis of glioma. The present study focuses on the impact of MPHOSPH6, TNIP1 and several other genes ( ACYP2, NAF1, TERC, TERT, OBFC1, ZNF208 and RTEL1) on telomere length and how this affects the prognosis of glioma. Methods Forty-three polymorphisms in nine genes from 605 glioma patients were selected. The association between genotype and survival outcome was analyzed using the Kaplan-Meier method, Cox regression analysis and the log-rank test. Results The 1-year overall survival (OS) rates of patients younger than 40 years of age was higher compared to those in patients older than 40 years of age. The 1-year OS rate of patients who underwent total resection was higher than that of patients whose gliomas were not completely resected. The 1-year OS rates of patients undergoing chemotherapy and of patients who did not undergo chemotherapy were 39.90% and 26.80%, respectively. Univariate analyses showed that ACYP2 rs12615793 and TERT rs2853676 loci affected progression-free survival in glioma patients; both ZNF208 rs8105767 and ACYP2 rs843720 affected the OS of patients with low-grade gliomas. Multivariate analyses suggested that MPHOSPH6 rs1056629 and rs1056654, and TERT rs2853676 loci were associated with good prognoses of patients with glioma or high-grade gliomas, whereas ZNF208 rs8105767 was associated with good prognosis of patients with low-grade glioma. Conclusions Age, surgical resection and chemotherapy influenced the survival rates of glioma patients. TERT, MPHOSPH6, ACYP2 and ZNF208 genes were found to affect glioma prognosis. [ABSTRACT FROM AUTHOR]

Background Little is known about the contribution of ARHGAP22 polymorphism to diabetic retinopathy (DR) risk. We performed a case-control study to investigate the associations between ARHGAP22 and the risk of DR in a Chinese Han population. Methods A total of 341 patients with type 2 diabetes mellitus (T2DM) were selected. All patients underwent a complete eye examination. Based on this, the patients with T2DM were divided into two subgroups: 188 patients with DR and 153 patients without DR. Five single nucleotide polymorphism (SNPs) were selected and genotyped using the MassARRAY method (Sequenom, San Diego, CA, USA). The odds ratio (OR) and 95% confidence intervals (CIs) were calculated by unconditional logistic regression adjusted for age and sex. Results Two susceptibility SNPs in ARHGAP22 were found to be associated with an increased risk of DR both before and after the adjustment: rs10491034 under the dominant model (adjusted OR = 0.51, 95% CI = 0.27-0.95, p = 0.032) and additive model (adjusted OR = 0.47, 95% CI = 0.26-0.84, p = 0.0098) and rs3844492 under the codominant model (adjusted OR = 3.14, 95% CI = 1.10-9.01, p = 0.023) and recessive model (adjusted OR = 3.52, 95% CI = 1.26-9.85, p = 0.011). Conclusions Our findings reveal a significant association between SNPs in the ARHGAP22 gene and DR risk in a Han Chinese population. [ABSTRACT FROM AUTHOR]