scholarly journals Association of microRNAs genes polymorphisms with arthritis: a systematic review and meta-analysis

2019 ◽  
Vol 39 (7) ◽  
Author(s):  
Yingqi Xiao ◽  
Hui Liu ◽  
Li Chen ◽  
Yang Wang ◽  
Xiang Yao ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Meta Analysis ◽  
Fixed Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Random Effects Model ◽  
Inclusion Criteria ◽  
Case Control Studies ◽  
Effect Model ◽  
Meta Analyses

Abstract Objective: To investigate whether microRNAs genes’ polymorphisms are associated with arthritis. Methods: The PubMed, Cochrane Library et al. were systematically searched to identify case–control studies, systematic reviews and meta-analyses. A meta-analysis was performed to calculate odds ratios (ORs), and confidence intervals (CIs) at 95% using fixed-effect model or random-effects model. Results: Twenty-two case–control studies involving 10489 participants fulfilled the inclusion criteria. MiR-146a rs2910164 (G/C) was not significantly associated with the risk of rheumatoid arthritis (RA) in any model. Significant associations were found between miR-146a rs2910164 (G/C) and the risk of psoriatic arthritis (PsA) in the heterozygous model and the dominant model. The heterozygous model showed a significant association between the miR-146a rs2910164 (G/C) polymorphism and ankylosing spondylitis (AS). And there was no significant association of miR-146a rs2910164 (G/C) with risk of juvenile rheumatoid arthritis (JRA) at any model. Additionally, there was a significant association of miR-499 rs3746444 (T/C) with risk of RA at two genetic models, and with a moderate heterogeneity. When subgroup analysis by ethnicity, significant associations were almost found between miR-499 rs3746444 (T/C) and the risk of RA in any model in Caucasian populations, and there is no heterogeneity. Conclusions: The association of miR-146a rs2910164 (G/C) with RA was not found. And there was a significant association between miR-146a rs2910164(G/C) and PsA or AS. MiR-499 rs3746444 (T/C) was associated with RA in Caucasian populations. These findings did not support the genetic association between miR-146a rs2910164 (G/C) and JRA susceptibility, as well as the association of miR-196a-2 rs11614913 (C/T), miR-146a rs2431697, miR-146a rs57095329, miR-149 rs22928323 with arthritis.

Sensorineural hearing loss with macrolide antibiotics exposure: a meta-analysis of the association

2020 ◽  
Author(s):  
Yazed Saleh Alsowaida ◽  
Abdulaziz Saleh Almulhim ◽  
Mok Oh ◽  
Brian Erstad ◽  
Ivo Abraham
Keyword(s):  
Hearing Loss ◽  
Sensorineural Hearing Loss ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Sensorineural Hearing ◽  
Cochrane Library ◽  
Macrolide Antibiotics ◽  
Random Effects Model ◽  
Inclusion Criteria ◽  
Meta Analyses

Abstract Objective Macrolide antibiotics are among the most commonly used antibiotics; the association of macrolide antibiotics exposure with sensorineural hearing loss (SNHL) has been hypothesized. A systematic search was conducted in PubMed, EMBASE and Cochrane Library from inception to 15 July 2019 to identify studies used macrolide antibiotics for any indication. The results were reported as odds ratio (OR) with 95% confidence interval (CI) using random-effects model to derive the association of macrolide antibiotics exposure with SNHL. The objective of this meta-analysis was to estimate the association of macrolide antibiotics exposure and SNHL from up-to-date evidence. Key findings Nine studies met the inclusion criteria. There was no statistically significant association between macrolide antibiotics exposure and SNHL; the OR was 1.20 (95% CI: 0.96 to 1.49). No significant association was found with any of the subgroup meta-analyses. Summary Whilst the frequency of SNHL was higher with macrolide antibiotics exposure compared with controls, overall, no association was found between macrolide antibiotics and SNHL.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-Ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility. Methods: Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software. Results: In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001). Conclusions: This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2019 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility.Methods Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software.Results In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95% CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Genetic Model ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, the fundamental pathophysiology underlying the occurrence and progression of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. Here, we intended to conduct a survey on the association between TNFAIP3 and TNIP1 gene polymorphisms and psoriasis risk.Methods: A comprehensive search of four online databases—China National Knowledge Infrastructure (CNKI), PubMed, Embase, and Cochrane Library was undertaken up to August 25, 2019. We chose allele genetic model to deal with the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. The RevMan 5.3 software was used to calculate the combined odds ratio and 95% confidence interval.Results: In total, we included 13 case-control studies consist of 13,908 psoriasis patients and 20,051 controls in this work. Our results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random-effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed-effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions: Our findings indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

scholarly journals The association of GATM polymorphism with statin-induced myopathy: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Mengyuan Liu ◽  
Fangfang Fan ◽  
Yan Zhang ◽  
Jianping Li
Keyword(s):  
Web Of Science ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Inclusion Criteria ◽  
Case Control Studies ◽  
Pooled Data ◽  
Statin Adherence ◽  
The Relationship ◽  
Pharmacogenomics Biomarker

Abstract Purpose Statin-induced myopathy (SIM) is the commonest reason for discontinuation of statin therapy. The aim of this present meta-analysis is to assess the relationship between glycine amidinotransferase gene (GATM) polymorphism and risk of SIM. Methods MEDLINE, EMBASE, Web of Science, and Cochrane Library databases were searched systematically for case-control studies investigating the relationship between GATM polymorphism and SIM. Retrieved articles were carefully reviewed and assessed according to the inclusion criteria. Associations were assessed in pooled data by calculating odds ratio with 95% confidence intervals. Subgroup analysis was performed according to comedications and severity of SIM. Results Six studies with 707 cases and 2321 controls were included in this meta-analysis. GATM rs9806699 G>A was associated with decreased risk of SIM (OR = 0.80, 95% CI 0.68–0.94, P = 0.006). This association remained significant in the subgroup with fibrates or niacin excluded. However, the association of rs9806699 G>A with severe SIM was not significant. In addition, another two variations at GATM, rs1719247 C>T, and rs1346268 T>C were also associated with declined risk of SIM. Conclusions GATM polymorphism including rs9806699 G>A, rs1719247 C>T, and rs1346268 T>C may be protective factors of SIM. GATM rs9806699 G>A may only exert protective effect on mild SIM cases. Our meta-analysis indicates that GATM polymorphism may represent a pharmacogenomics biomarker for predicting incidence of SIM, which contributes to risk stratification and optimizing statin adherence.

Association between ALDH2 Gene Polymorphism and Late-onset Alzheimer Disease: An Up-to-date Meta-analysis

2020 ◽  
Vol 17 (2) ◽  
pp. 105-111
Author(s):  
Haitao Liu ◽  
Wei Ge ◽  
Wei Chen ◽  
Xue Kong ◽  
Weiming Jian ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Large Scale ◽  
Late Onset ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Positive Trend ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Aldh2 Gene

Objectives: Previous case-control studies have focused on the relationship between ALDH2 gene polymorphism and late-onset Alzheimer's Disease (LOAD), but no definite unified conclusion has been reached. Therefore, the correlation between ALDH2 Glu504Lys polymorphism and LOAD remains controversial. To analyze the correlation between ALDH2 polymorphism and the risk of LOAD, we implemented this up-to-date meta-analysis to assess the probable association. Methods: Studies were searched through China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals, China Biology Medicine, PubMed, Cochrane Library, Clinical- Trials.gov, Embase, and MEDLINE from January 1, 1994 to December 31, 2018, without any restrictions on language and ethnicity. Results: Five studies of 1057 LOAD patients and 1136 healthy controls met our criteria for the analysis. Statistically, the ALDH2 GA/AA genotype was not linked with raising LOAD risk (odds ratio (OR) = 1.48, 95% confidence interval (CI) = 0.96-2.28, p = 0.07). In subgroup analysis, the phenomenon that men with ALDH2*2 had higher risk for LOAD (OR = 1.72, 95%CI = 1.10-2.67, p = 0.02) was observed. Conclusions: This study comprehends only five existing case-control studies and the result is negative. The positive trend might appear when the sample size is enlarged. In the future, more large-scale casecontrol or cohort studies should be done to enhance the association between ALDH2 polymorphism and AD or other neurodegenerative diseases.

Complications of transradial versus transfemoral access for neuroendovascular procedures: a meta-analysis

2021 ◽  
pp. neurintsurg-2021-018032
Author(s):  
Derrek Schartz ◽  
Sajal Medha K Akkipeddi ◽  
Nathaniel Ellens ◽  
Redi Rahmani ◽  
Gurkirat Singh Kohli ◽  
...  
Keyword(s):  
Literature Review ◽  
Meta Analysis ◽  
Final Analysis ◽  
Case Control ◽  
Random Effects Model ◽  
Inclusion Criteria ◽  
Access Site ◽  
Lower Odds ◽  
Significant Difference ◽  
Study Heterogeneity

BackgroundTransradial access (TRA) has gained increased usage among neurointerventionalists. However, the overall safety profile of access site complications (ASCs) and non-access site complications (NASCs) of TRA versus transfemoral access (TFA) for neuroendovascular procedures remains unclear.MethodsA systematic literature review and meta-analysis using a random effects model was conducted to investigate the pooled odds ratios (OR) of ASCs and NASCs. Randomized, case–control, and cohort studies comparing access-related complications were analyzed. An assessment of study heterogeneity and publication bias was also completed.ResultsSeventeen comparative studies met the inclusion criteria for final analysis. Overall, there was a composite ASC rate of 1.8% (49/2767) versus 3.2% (168/5222) for TRA and TFA, respectively (P<0.001). TRA was associated with a lower odds of ASC compared with TFA (OR 0.42; 95% CI 0.25 to 0.68, P<0.001, I2=31%). There was significantly lower odds of complications within the intervention and diagnostic subgroups. For NASC, TRA had a lower composite incidence of complications than TFA at 1.2% (31/2586) versus 4.2% (207/4909), P<0.001). However, on meta-analysis, we found no significant difference overall between TRA and TFA for NASCs (OR 0.79; 95% CI 0.51 to 1.22, P=0.28, I2=0%), which was also the case on subgroup analysis.ConclusionOn meta-analysis, the current literature indicates that TRA is associated with a lower incidence of ASCs compared with TFA, but is not associated with a lower rate of NASCs.

scholarly journals Relevance of hMLH1 -93G>A, 655A>G and 1151T>A polymorphisms with colorectal cancer susceptibility: a meta-analysis based on 38 case-control studies

2018 ◽  
Vol 64 (10) ◽  
pp. 942-951 ◽  
Author(s):  
Mohammad Zare ◽  
Jamal Jafari-Nedooshan ◽  
Mohammadali Jafari ◽  
Hossein Neamatzadeh ◽  
Seyed Mojtaba Abolbaghaei ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Asian Population ◽  
Case Control ◽  
Biomedical Literature ◽  
Case Control Studies ◽  
Increased Risk ◽  
Comprehensive Search ◽  
Meta Analyses

SUMMARY OBJECTIVE: There has been increasing interest in the study of the association between human mutL homolog 1 (hMLH1) gene polymorphisms and risk of colorectal cancer (CRC). However, results from previous studies are inconclusive. Thus, a meta-analysis was conducted to derive a more precise estimation of the effects of this gene. METHODS: A comprehensive search was conducted in the PubMed, EMBASE, Chinese Biomedical Literature databases until January 1, 2018. Odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of the association. RESULTS: Finally, 38 case-control studies in 32 publications were identified met our inclusion criteria. There were 14 studies with 20668 cases and 19533 controls on hMLH1 −93G>A, 11 studies with 5,786 cases and 8,867 controls on 655A>G and 5 studies with 1409 cases and 1637 controls on 1151T>A polymorphism. The combined results showed that 655A>G and 1151T>A polymorphisms were significantly associated with CRC risk, whereas −93G>A polymorphism was not significantly associated with CRC risk. As for ethnicity, −93G>A and 655A>G polymorphisms were associated with increased risk of CRC among Asians, but not among Caucasians. More interestingly, subgroup analysis indicated that 655A>G might raise CRC risk in PCR-RFLP and HB subgroups. CONCLUSION: Inconsistent with previous meta-analyses, this meta-analysis shows that the hMLH1 655A>G and 1151T>A polymorphisms might be risk factors for CRC. Moreover, the −93G>A polymorphism is associated with the susceptibility of CRC in Asian population.

scholarly journals Oral Contraceptive Use and Breast Cancer Risk Assessment: A Systematic Review and Meta-Analysis of Case-Control Studies, 2009–2020

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5654
Author(s):  
Agnieszka Barańska ◽  
Agata Błaszczuk ◽  
Wiesław Kanadys ◽  
Maria Malm ◽  
Katarzyna Drop ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Oral Contraceptive ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Control Group ◽  
Case Control Studies ◽  
Increased Risk ◽  
Breast Cancer Risk Assessment

To perform a meta-analysis of case-control studies that addressed the association between oral contraceptive pills (OC) use and breast cancer (BrCa), PubMED (MEDLINE), Embase, and the Cochrane Library were searched to identify case-control studies of OC and BrCa published between 2009 and 2020. We used the DerSimonian–Laird method to compute pooled odds ratios (ORs) and confidence intervals (CIs), and the Mantel–Haenszel test to assess the association between OC use and cancer. Forty-two studies were identified that met the inclusion criteria and we included a total of 110,580 women (30,778 into the BrCa group and 79,802 into the control group, of which 15,722 and 38,334 were using OC, respectively). The conducted meta-analysis showed that the use of OC was associated with a significantly increased risk of BrCa in general, OR = 1.15, 95% CI: 1.01 to 1.31, p = 0.0358. Regarding other risk factors for BrCa, we found that increased risk was associated significantly with early menarche, nulliparous, non-breastfeeding, older age at first parity, postmenopause, obesity, smoking, and family history of BrCa. Despite our conclusion that birth control pills increase the cancer risk being supported by extensive previous studies and meta-analyzes, further confirmation is required.

scholarly journals The Correlation of Glycemic Index, Glycemic Load, and Carbohydrates with the Risk of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Long-Shan Yang ◽  
Guang-Xiao Meng ◽  
Zi-Niu Ding ◽  
Lun-Jie Yan ◽  
Sheng-Yu Yao ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Glycemic Index ◽  
Hepatitis Virus ◽  
Meta Analysis ◽  
Glycemic Load ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Case Control Studies ◽  
Effect Model

Abstract Background Glycemic index (GI), glycemic load (GL), and carbohydrates have been shown to be associated with a variety of cancers, but their correlation with hepatocellular carcinoma (HCC) remains controversial. The purpose of our study was to investigate the correlation of GI, GL and carbohydrate with risk of HCC.Methods Systematic searches were conducted in PubMed, Embase and Web of Science until November 2020. According to the size of heterogeneity, the random effect model or the fixed effect model was performed to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs) for the correlation of GI, GL, and carbohydrates with the risk of HCC.Results Seven cohort studies involving 1,193,523 participants and 1,004 cases, and 3 case-control studies involving 827 cases and 5,502 controls were eventually included. The pooled results showed no significant correlation of GI (RR=1.11, 95%CI 0.80-1.53, I2= 62.2%), GL (RR=1.09, 95%CI 0.76-1.55, I2 = 66%), and carbohydrate (RR=1.09, 95%CI 0.84-1.32, I2=0%) with the risk of HCC in general population. Subgroup analysis revealed that in hepatitis B virus (HBV) or/and hepatitis C virus (HCV)-positive group, GI was not correlated with the risk of HCC (RR=0.65, 95%CI 0.32-1.32, p=0.475, I2=0.0%), while GL was significantly correlated with the risk of HCC (RR=1.52, 95%CI 1.04-2.23, p=0.016, I2=70.9%). In contrast, in HBV and HCV-negative group, both GI (RR=1.23, 95%CI 0.88-1.70, p=0.222, I2=33.6%) and GL (RR=1.17, 95% CI 0.83-1.64, p=0.648, I2=0%) were not correlated with the risk of HCC. Conclusion A high GL diet is correlated with a higher risk of HCC in people with hepatitis virus. A low GL diet may be recommended for patients with viral hepatitis to reduce the risk of HCC.

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