Association of the Transcription Factor 7 Like 2 (TCF7L2) Polymorphism With Diabetic Nephropathy Risk: A Meta-Analysis.
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ABSTRACT:
SUBMITTER: Fan Z
PROVIDER: S-EPMC4839926 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
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Association of the Transcription Factor 7 Like 2 (TCF7L2) Polymorphism With Diabetic Nephropathy Risk: A Meta-Analysis.
Fan Zhenqian Z Cai Qiliang Q Chen Yu Y Meng Xuying X Cao Fenglin F Zheng Shaoxiong S Guo Jianchao J
Medicine 20160301 11
It is assumed that genetic factors may participate in the development of diabetic nephropathy (DN). The association between TCF7L2 gene polymorphism and DN risk is still unclear. To evaluate the relationship, we performed this meta-analysis. Eligible relevant studies were searched and selected from PubMed, Embase, and ISI Web of Science. Summary effect estimates were derived using a random effects model, with attention to study quality and publication bias. Ethnical approval was not necessary, b ...[more]
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Project description:OBJECTIVE: The transcription factor 7-like 2 (TCF7L2) gene has been suggested to play an important role in the pathogenesis of cancer. However, the results have been inconsistent. In this study, we performed a meta-analysis to clarify the associations between TCF7L2 polymorphism and cancer risk. METHODS: Published literature from PubMed and EMBASE were retrieved. Pooled odds ratios (ORs) with 95% confidence interval (CIs) were calculated using fixed- or random-effects model. RESULTS: A total of 19 studies (14,814 cases and 33,856 controls) were identified for the analysis of the association between TCF7L2 polymorphism and cancer risk. The results showed that TCF7L2 polymorphism was associated with breast cancer (Homogeneous model: OR=1.17, 95%CI=1.02-1.35, I (2)?=21.8%, p for heterogeneity=0.276; Heterogeneous model: OR=1.11, 95%CI=1.03-1.20, I (2)?=0.0%, p for heterogeneity=0.543), prostate cancer (Homogeneous model: OR=0.89, 95%CI=0.84-0.96, I (2)?=0.0%, p for heterogeneity=0.640; Heterogeneous model: OR=0.89, 95%CI=0.84-0.95, I (2)?=0.0%, p for heterogeneity=0.871), and colon cancer (Heterogeneous model: OR=1.15, 95%CI=1.01-1.31, I (2)?=0.0%, p for heterogeneity=0.658), but not with colorectal cancer, lung cancer, and ovarian cancer. CONCLUSIONS: The present meta-analysis indicated that there were significantly associations between the TCF7L2 rs7903146 polymorphism and risk of breast, prostate and colon cancers, rather than colorectal cancer, lung cancer, and ovarian cancer.
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Project description:BackgroundThere are racial and ethnic differences in the prevalence of gestational diabetes mellitus (GDM). Prior meta-analyses included small samples and very limited non-Caucasian populations. Studies to determine the relationship between transcription factor 7 like-2 (TCF7L2) rs7903146 polymorphism and risk of GDM in Hispanics/Latinos are recently available. The present meta-analysis was to estimate the impact of allele variants of TCF7L2 rs7903146 polymorphism on GDM susceptibility in overall population and racial/ethnic subgroups.MethodsLiterature was searched in multiple databases including PubMed, Web of Science, EMBASE (Ovid SP), Airiti Library, Medline Complete, and ProQuest up to July 2015. Allelic frequency for TCF7L2 rs7903146 polymorphism in GDM and control subjects was extracted and statistical analysis was performed using Comprehensive Meta-Analysis (CMA) 2.0 statistical software. The association between TCF7L2 rs7903146 polymorphism and GDM risk was assessed by pooled odd ratios (ORs) using five gene models (dominant, recessive, homozygote, heterozygote, and allele). Stratified analysis based on race/ethnicity was also conducted. The between-study heterogeneity and contribution of each single study to the final result was tested by Cochran Q test and sensitivity analyses, respectively. Publication bias was evaluated using Egger's linear regression test.ResultsA total of 16 studies involving 4,853 cases and 10,631 controls were included in this meta-analysis. Significant association between the T-allele of rs7903146 and GDM risk was observed under all genetic models, dominant model (OR = 1.44, 95% CI = 1.19-1.74), recessive model (OR = 1.35, 95% CI = 1.08-1.70), heterozygous model (OR = 1.31, 95% CI = 1.12-1.53), homozygous model (OR = 1.67, 95% CI = 1.31-2.12), and allele model (OR = 1.31, 95% CI = 1.12-1.53). Stratified analysis by race/ethnicity showed a statistically significant association between rs7903146 polymorphism and susceptibility to GDM under homozygous genetic model (TT versus CC) among whites, Hispanics/Latinos and Asians. Sensitivity analysis showed that the overall findings were robust to potentially influential decisions of the 16 studies included. No significant evidence for publication bias was observed in this meta-analysis for overall studies and subgroup studies.ConclusionsThis meta-analysis showed that the T allele of TCF7L2 rs7903146 polymorphism was associated with susceptibility of GDM in overall population in white, Hispanic/Latino and Asian sub-groups. Asians with homozygous TT allele of rs7903146 polymorphism have highest risk of GDM (OR = 2.08) followed by Hispanics/Latinos (OR = 1.80) and whites (OR = 1.51). The highest and lowest frequency of T allele of rs7903146 was found in Malaysia and South Korea, respectively. Future studies are needed to profile genetic risk for GDM among high risk Asian and Pacific Islander subgroups.
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Project description:AimThe study was aimed to analyze whether ACE rs267604983 polymorphism was related to the onset of diabetic nephropathy (DN).Methods80 DN patients and 78 healthy controls were enrolled in the study. The differences of age, sex, body mass index (BMI), systolic blood pressure (SBP) and diastolic blood pressure (DBP) between two groups were analyzed. The genotyping of ACE rs267604983 was conducted by the technology of PCR-HRM. Odds ratio (ORs) with 95% CI were used to evaluate the relationship of ACE rs267604983 with DN susceptibility.ResultsThe AA genotype of ACE rs267604983 was remarkably associated with the risk for DN (OR = 2.90, 95% CI = 1.12-7.51). In addition, for the A allele carriers, the risk for DN increased 1.87 fold (OR = 1.87, 95% CI = 1.16-3.01). The subgroup analysis showed that the AA genotype was found higher in normal albuminuria group than other groups (P = 0.006), while AG genotype was higher in macro albuminuria group (P = 0.036).ConclusionACE rs267604983 polymorphism is associated with the risk of DN. AA genotype and A allele may increase the risk for DN. Furthermore, AA and AG genotypes may have effects on the subgroups of DN.
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Project description:BACKGROUND:Large scale association studies have found a significant association between type 2 diabetes mellitus (T2DM) and transcription factor 7-like 2 (TCF7L2) polymorphism rs7903146. However, the quality of data varies greatly, as the studies report inconsistent results in different populations. Hence, we perform this meta-analysis to give a more convincing result. METHODS:The articles, published from January 1st, 2000 to April 1st, 2017, were identified by searching in PubMed and Google Scholar. A total of 56628 participants (34232 cases and 22396 controls) were included in the meta-analysis. A total of 28 studies were divided into 4 subgroups: Caucasian (10 studies), East Asian (5 studies), South Asian (5 studies) and Others (8 studies). All the data analyses were analyzed by the R package meta. RESULTS:The significant association was observed by using the dominant model (OR?=?1.41, CI?=?1.36?-?1.47, p?<?0.0001), recessive model (OR?=?1.58, CI?=?1.48?-?1.69, p?<?0.0001), additive model(CT vs CC) (OR?=?1.34, CI?=?1.28-1.39, p?<?0.0001), additive model(TT vs CC) (OR?=?1.81, CI?=?1.69-1.94, p?<?0.0001)and allele model (OR?=?1.35, CI?=?1.31-1.39, p?<?0.0001). CONCLUSION:The meta-analysis suggested that rs7903146 was significantly associated with T2DM in Caucasian, East Asian, South Asian and other ethnicities.
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Project description:BACKGROUND:Diabetic nephropathy (DN) is a multifactorial disease with gene-environment interaction resulting in progressive renal function damage. Multiple studies have assessed the association between matrix metalloproteinase-9 (MMP-9) gene promoter polymorphism and DN susceptibility. However, the results are inconclusive. In the present study, we will conduct a meta-analysis to further examine this relationship more precisely. METHODS:Electronic databases (Pubmed, Web of Science, Embase, Google Scholar, Wanfang, China Biological Medicine and China National Knowledge Infrastructure) will be used to search clinical case-control studies about MMP-9 polymorphism and DN published until 18 August 2020. The language will be restricted to Chinese and English. Two reviewers will take charge of completing the selection of study, the extraction of data as well as the assessment of study quality independently. The Newcastle-Ottawa Scale will be used to evaluate the study quality. We will evaluate the association under 5 genetic models. Fixed-effects or random-effects models will be used to calculate the effect sizes of odds ratio and 95% confidence intervals. Afterwards, subgroup analysis will be conducted in terms of the ethnicity and genotyping method. Additionally, sensitivity analysis will be performed via sequentially omitting each of the included studies one at a time. The funnel plots, Egger regression test, and Begg rank correlation test will be used to test the potential publication bias. All the statistical analyses will be performed using Review Manager 5.3 and Stata 12.0. RESULTS:This protocol reported according to the Preferred Reporting ltems for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) statement. This study will provide a better understanding of the association between MMP-9 polymorphisms and DN risk. CONCLUSION:Publishing this protocol will minimize the potential bias related to data mining, thus contributing to generation of reliable evidence. OSF REGISTRATION NUMBER:DOI 10.17605/OSF.IO/H5FS4.
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