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Zhang X.-L.,The First Peoples Hospital of Shangqiu City | Cui Y.-H.,The First Peoples Hospital of Shangqiu City
OncoTargets and Therapy | Year: 2015

Although a number of studies have been conducted on the association between the GSTM1 null genotype and gastric cancer in People’s Republic of China, this association remains elusive and controversial. To clarify the effects of the GSTM1 null genotype on the risk of gastric cancer, an updated meta-analysis was performed in the Chinese population. Related studies were identified from PubMed, Springer Link, Ovid, Chinese Wanfang Data Knowledge Service Platform, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biology Medicine (CBM) up to November 5, 2014. A total of 25 studies including 3,491 cases and 5,921 controls were included in this meta-analysis. Overall, a significant association (odds ratio [OR] =1.47, 95% CI: 1.28–1.69) was found between the null GSTM1 and gastric cancer risk when all studies in Chinese population were pooled into the meta-analysis. In subgroup analyses stratified by quality score, geographic area, and source of controls, the same results were observed. Additionally, a significant association was found both in smokers and non-smokers. This meta-analysis showed that the null GSTM1 may be a potential biomarker for gastric cancer risk in Chinese, and further studies with gene–gene and gene–environment interactions are required for definite conclusions. © 2015 Zhang and Cui. Source


Liu Q.,The First Peoples Hospital of Shangqiu City | Fang Y.,The First Peoples Hospital of Shangqiu City
International Journal of Clinical and Experimental Medicine | Year: 2016

Alzheimer’s disease (AD) is the most common type of dementia. Recent genome-wide association studies have identified that PICALM is one of the numerous reproducible AD-associated risk genes, and variants in PICALMare shown to be involved in this disease. However, the results remain conflicting. In this meta-analysis, we searched the online electronic database to retrieve related articles concerning the role of PICALM polymorphisms in AD risk and to systematic reevaluate the exact association. Overall, we screened out ten case-control studies, including 6866 AD patients and 13205 controls. Our results found that A allele of rs3851179 (A vs. G: OR=0.84, 95% CI=0.75-0.94, P=0.002) and C allele of rs541458 (C vs. T: OR=0.85, 95% CI=0.74-0.97, P=0.02) were associated with AD incidence. This significant relationship was also found in GA+AA and AA genotypes of rs3851179, and CC+TC genotype of rs541458 variants (P<0.05). Subgroup analysis by ethnicity showed that rs3851179 variant was genetic factor for AD in Caucasians, while only A allele was associated in Asians; C allele and CC+TC genotype of rs541458 in Caucasians, while no association was found in Asians. For Chinese population, neither these variants was associated with AD risk. In conclusion, our results found that rs3851179 and rs541458 were associated with AD risk. However, more data about other ethnicities with large crowds were needed in the future studies. © 2016, International Journal of Clinical and Experimental Medicine. All rights reserved. Source


Ji W.,The First Peoples Hospital of Shangqiu City | Xu L.,East Hospital | Zhou H.,The First Peoples Hospital of Shangqiu City | Wang S.,The First Peoples Hospital of Shangqiu City | Fang Y.,The First Peoples Hospital of Shangqiu City
International Journal of Clinical and Experimental Medicine | Year: 2015

Alzheimer’s disease (AD) is a neurodegenerative disease mostly occurred in the elderly. Genetic mutation is one of well-established risk factors for AD. Several polymorphisms on chromosome 11q were reported to be associated with AD susceptibility. Hence we performed a meta-analysis to systematically assess the association between the most-reported polymorphisms on chromosome 11q (rs10793294, rs7115850, rs7101429, rs4945261, rs2373115, rs670142, rs610932, rs541458 and rs3851179) and AD risk. A comprehensive literature search in the electronic databases was performed to identify all eligible studies. The pooled odds ratios (OR) and 95% confidence intervals (95% CI) were calculated to evaluate the association between 11q variants and AD risk by using the allelic model. Sensitivity analysis was carried out to analyze the influence of single study on the overall results. Begg’s funnel plots and Egger’s test were used to assess the publication biases among studies. All the statistical analyses were conducted by using STATA 12.0 Software (Stata Corp, College Station, TX, USA). A total of 35 eligible articles were included in our meta-analysis. Our data showed that the polymorphism of rs610932 were significantly associated with lower AD risk with a pooled OR of 0.88 (95% CI: 0.84-0.92, P=0.005). The other SNPs of rs494526 (OR=0.83, 95% CI: 0.65-1.00, P<0.001), rs2373115 (OR=0.85, 95% CI: 0.75-0.95, P<0.001) and rs670139 (OR=1.09, 95% CI: 1.05-1.12, P=0.554) were shown to be correlated with lower AD risk. Subgroup analysis revealed a similar result in Caucasians. But only the rs610932 polymorphism was found to be associated with lower AD risk in Asians. The polymorphism of rs610932 was shown to be a risk factor for AD while the other three genetic variants (rs494526, rs2373115 and rs610932) may act as protective factors against AD. © 2015, E-Century Publishing Corporation. All rights reserved. Source

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