Relationship between five GLUT1 gene single nucleotide polymorphisms and diabetic nephropathy: a systematic review and meta-analysis

2012 ◽  
Vol 39 (8) ◽  
pp. 8551-8558 ◽  
Author(s):  
Wenpeng Cui ◽  
Bing Du ◽  
Wenhua Zhou ◽  
Ye Jia ◽  
Guangdong Sun ◽  
...  
Keyword(s):  
Systematic Review ◽  
Diabetic Nephropathy ◽  
Single Nucleotide Polymorphisms ◽  
Meta Analysis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Glut1 Gene

scholarly journals Association between melatonin receptor gene polymorphisms and polycystic ovarian syndrome: a systematic review and meta-analysis

2020 ◽  
Vol 40 (6) ◽  
Author(s):  
Shiqi Yi ◽  
Jiawei Xu ◽  
Hao Shi ◽  
Wenbo Li ◽  
Qian Li ◽  
...  
Keyword(s):  
Systematic Review ◽  
Single Nucleotide Polymorphisms ◽  
Polycystic Ovarian Syndrome ◽  
Meta Analysis ◽  
Genetic Models ◽  
Cochrane Library ◽  
Nucleotide Polymorphisms ◽  
Melatonin Receptor ◽  
Single Nucleotide ◽  
Ovarian Syndrome

Abstract Background: Polycystic ovarian syndrome (PCOS) is a kind of common gynecological endocrine disorder. And the mutations of melatonin receptor (MTNR) genes are related to the occurrence of PCOS. But previous researches have shown opposite results. So, the object of our systematic review and meta-analysis is to investigate the relationship between MTNR 1A/B polymorphisms and PCOS. Methods: PubMed, Embase, Ovid, the Cochrane Library, Web of Science and three Chinese databases (VIP, CNKI and Wanfang) were used to retrieve eligible articles published between January 1980 and February 2020. And we used the odds ratio (OR) and its 95% confidence interval (CI) to investigate the strength of the association by six genetic models, allelic, codominant (homozygous and heterozygous), dominant, recessive and superdominant models. Review Manager 5.3, IBM SPSS statistics 25 and Stata MP 16.0 software were used to do this meta-analysis. Results: Our meta-analysis involved 2553 PCOS patients and 3152 controls, for two single nucleotide polymorphisms (rs10830963 C> G in MTNR1B and rs2119882 T> C in MTNR1A) and significant associations were found in some genetic models of these single nucleotide polymorphisms (SNPs). For rs10830963, strongly significant was found in the heterozygote model (GC vs. CC, P=0.02). Additionally, a slight trend was detected in the allelic (G vs. C), homozygote (GG vs. CC) and dominant (GG+GC vs. CC) model of rs10830963 (P=0.05). And after further sensitivity analysis, a study with high heterogeneity was removed. In the allelic (P=0.000), homozygote (P=0.001), dominant (P=0.000) and recessive (GG vs. GC+CC, P=0.001) model, strong associations between rs10830963 and PCOS were found. Moreover, for rs2119882, five genetic models, allelic (C vs. T, P=0.000), codominant (the homozygote (CC vs. TT, P=0.000) and heterozygote model (CT vs. TT, P=0.02), dominant (CC + CT vs. TT, P=0.03) and recessive model (CC vs. CT + TT, P=0.000) showed significant statistical associations with PCOS. Conclusion: MTNR1B rs10830963 and MTNR1B rs2119882 polymorphisms are associated with PCOS risk. However, the above conclusions still require being confirmed by much larger multi-ethnic studies.

scholarly journals Effects of four single nucleotide polymorphisms of EZH2 on cancer risk: a systematic review and meta-analysis

2018 ◽  
Vol Volume 11 ◽  
pp. 851-865 ◽  
Author(s):  
Zhixin Ling ◽  
Zonghao You ◽  
Ling Hu ◽  
Lei Zhang ◽  
Yiduo Wang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Risk ◽  
Single Nucleotide Polymorphisms ◽  
Meta Analysis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

Single nucleotide polymorphisms of taste genes and caries: a systematic review and meta-analysis

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Luiz Alexandre Chisini ◽  
Mariana Gonzalez Cademartori ◽  
Marcus Cristian Muniz Conde ◽  
Francine dos Santos Costa ◽  
Luana Carla Salvi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Single Nucleotide Polymorphisms ◽  
Meta Analysis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

scholarly journals Single nucleotide polymorphisms and the risk of developing a second primary cancer among head and neck cancer patients: a systematic literature review and meta-analysis

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ilda Hoxhaj ◽  
Vladimir Vukovic ◽  
Stefania Boccia ◽  
Roberta Pastorino
Keyword(s):  
Systematic Review ◽  
Head And Neck Cancer ◽  
Single Nucleotide Polymorphisms ◽  
Meta Analysis ◽  
Second Primary ◽  
Primary Cancer ◽  
Nucleotide Polymorphisms ◽  
Second Primary Cancer ◽  
Single Nucleotide ◽  
Increased Risk

Abstract Background Head and Neck Cancer (HNC) survivors are at increased risk of developing a second primary cancer (SPC). Along with the environmental risk factors, genetic factors have been associated with a potential increased susceptibility to SPC development. We aim to identify the Single Nucleotide Polymorphisms (SNPs) that contribute to SPC development among HNC survivors through a systematic review and meta-analysis. Methods We searched PubMed, Scopus and ISI Web of Science for eligible studies published in English until January 31st, 2020. We included studies reporting primary data that evaluated the association between SNPs and SPC risk in HNC patients. Data were pooled in a random-effect meta-analyses, when at least two studies on the same SNP evaluated the same genotype model. Heterogeneity was assessed using the χ2-based Q-statistics and the I2 statistics. Quality of the included studies was assessed using the Q-Genie tool. Results Twenty-one studies, of moderate to good quality, were included in the systematic review. Fifty-one genes were reported across the included studies to have significant associations with an increased SPC risk. Overall, 81 out of 122 investigated SNPs were significantly associated with the SPC risk. Seven studies were included in the meta-analysis, which showed five SNPs associated with an increased risk of SPC: p21C70T, CT + TT (HR = 1.76; 95% CI: 1.28–2.43); FASLG -844C > T, CT + TT (HR = 1.82; 95% CI: 1.35–2.46), P21 C98A, CA + AA (HR = 1.75; 95% CI: 1.28–2.38); FAS -670A > G (HR = 1.84; 95% CI: 1.28–2.66) and GST-M1, Null genotype (HR = 1.54; 95% CI: 1.13–2.10). Conclusions The identified SNPs in our systematic review and meta-analysis might serve as potential markers for identification of patients at high risk of developing SPC after primary HNC. PROSPERO Registration Number CRD42019135612.

scholarly journals The Effect of Single Nucleotide Polymorphisms on Depression in Combination With Coronary Diseases: Protocol for a Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
De Zhao Kong ◽  
Lu Gao ◽  
Hang Li ◽  
Yu Wang ◽  
Miao Miao Wang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Single Nucleotide Polymorphisms ◽  
Confidence Interval ◽  
Meta Analysis ◽  
Case Control ◽  
Current Evidence ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

Abstract Background: Depression and coronary heart disease (CHD) have common risk mechanisms. Common single nucleotide polymorphisms (SNPs) may be associated with the risk of depression combined with coronary heart disease. Methods: This protocol was designed according to the PRISMA-P guidelines. CENTRAL in the Cochrane Library, MEDLINE Ovid, Embase Ovid, Web of Science, CNKI, CQVIP, SinoMed, Wanfang Data, and ChiCTR will be systematically searched. We will include case-control studies and cohort studies investigating the relationship between gene SNPs and depression and coronary heart disease comorbidities. The Newcastle-Ottawa Scale (NOS) will be used to assess the risk of bias. When measuring dichotomous outcomes, we will use the risk ratio (RR) and 95% confidence interval (95%CIs) in a cohort study and use the odds ratio (OR) and 95% confidence interval (95%CIs) in a case-control study. Five genetic models (allele model, homozygous model, heterozygous model, dominant model, and recessive model) will be evaluated for each included study. Subgroup analysis by ethnicity will be performed. If necessary, post hoc analysis will be made according to different types.Discussion: The purpose of this meta-analysis is to comprehensively study the current evidence and assess the association between single nucleotide polymorphisms and susceptibility of depression in combination with coronary heart disease.Systematic review registration: This protocol was prospectively registered in the PROSPERO (registration number CRD42021229371).

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