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 ◽  
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.

Association of FK506 binding protein 5 (FKBP5) gene rs4713916 polymorphism with mood disorders: a meta-analysis

2011 ◽  
Vol 23 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Xiao-Liang Feng ◽  
Fang Wang ◽  
Yan-Feng Zou ◽  
Wen-Fei Li ◽  
Yang-Hua Tian ◽  
...  
Keyword(s):  
Mood Disorders ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Biomedical Literature ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Fk506 Binding Protein ◽  
Effect Model

Background: Several studies have investigated the association of FKBP5 gene polymorphisms with mood disorders, but findings are not always consistent. The aim of our study was to assess the association of FKBP5 gene polymorphisms with mood disorders using a meta-analysis.Methods: Data were collected from the following electronic databases: PubMed, Elsevier Science Direct, Cochrane Library, Chinese Biomedical Literature Database, China National Knowledge Infrastructure and Wanfang, with the last report up to March 2010. Meta-analysis was performed in a fixed/random effect model.Results: We identified six studies using search, and one study was excluded because of unavailable data. One study contained data on two different ethnicities and we treated them independently. Thus, six separate studies (2655 cases and 3593 controls) were included in the meta-analysis. Meta-analysis was performed for three FKBP5 gene polymorphisms (rs1360780, rs3800373 and rs4713916) in overall and Caucasian populations. We did not detect any association of FKBP5 gene rs1360780 and rs3800373 polymorphisms with mood disorders (p > 0.05). However, a significant association of FKBP5 gene rs4713916 polymorphism with mood disorders was found, and the heterozygous individual (GA genotype) was more susceptible to mood disorders in comparison to homozygous analogues (GG or AA genotype) [overall: GA vs. GG: OR (odds ratio) = 1.20, 95% CI (confidence interval) = 1.03–1.40, p = 0.02; GA vs. AA: OR = 1.44, 95% CI = 1.09–1.90, p = 0.009; Caucasian: GA vs. GG: OR = 1.22, 95% CI = 1.04–1.44, p = 0.01; GA vs. AA: OR = 1.43, 95% CI = 1.09–1.89, p = 0.01].Conclusion: This meta-analysis shows that mood disorders are associated with FKBP5 gene rs4713916 polymorphism, but not with rs1360780 and rs3800373.

scholarly journals ASSOCIATION OF IL-8 -251T>A (RS4073) POLYMORPHISM WITH SUSCEPTIBILITY TO GASTRIC CANCER: A SYSTEMATIC REVIEW AND META-ANALYSIS BASED ON 33 CASE-CONTROL STUDIES

2020 ◽  
Vol 57 (1) ◽  
pp. 91-99
Author(s):  
Mansour MOGHIMI ◽  
Seyed Alireza DASTGHEIB ◽  
Naeimeh HEIRANIZADEH ◽  
Mohammad ZARE ◽  
Elnaz SHEIKHPOUR ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Case Control Studies ◽  
Effect Model ◽  
Increased Risk ◽  
Mixed Populations ◽  
Stratified Analysis

ABSTRACT BACKGROUND: The role of -251A>T polymorphism in the anti-inflammatory cytokine interleukin-8 (IL-8) gene in gastric cancer was intensively evaluated, but the results of these studies were inconsistent. OBJECTIVE: Therefore, we performed a meta-analysis to provide a comprehensive data on the association of IL-8 -251T>A polymorphism with gastric cancer. METHODS: All eligible studies were identified in PubMed, Web of Science, EMBASE, Wanfang and CNKI databases before September 01, 2019. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were derived from a fixed effect or random effect model. RESULTS: A total of 33 case-control studies with 6,192 cases and 9,567 controls were selected. Overall, pooled data showed that IL-8 -251T>A polymorphism was significantly associated with an increased risk of gastric cancer under all five genetic models, i.e., allele (A vs T: OR=1.189, 95% CI 1.027-1.378, P=0.021), homozygote (AA vs TT: OR=1.307, 95% CI 1.111-1.536, P=0.001), heterozygote (AT vs TT: OR=1.188, 95% CI 1.061-1.330, P=0.003), dominant (AA+AT vs TT: OR=1.337, 95% CI 1.115-1.602, P=0.002) and recessive (AA vs AT+TT: OR=1.241, 95% CI 1.045-1.474, P=0.014). The stratified analysis by ethnicity revealed an increased risk of gastric cancer in Asians and mixed populations, but not in Caucasians. Moreover, stratified by country found a significant association in Chinese, Korean and Brazilian, but not among Japanese. CONCLUSION: This meta-analysis suggests that the IL-8 -251T>A polymorphism is associated with an increased risk of gastric cancer, especially by ethnicity (Asian and mixed populations) and country (Chinese, Korean and Brazilian).

scholarly journals The Associations between VEGF Gene Polymorphisms and Diabetic Retinopathy Susceptibility: A Meta-Analysis of 11 Case-Control Studies

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Liyuan Han ◽  
Lina Zhang ◽  
Wenhua Xing ◽  
Renjie Zhuo ◽  
XiaLu Lin ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Recessive Model ◽  
Cochrane Library ◽  
Published Data ◽  
Case Control Studies ◽  
Asian Populations ◽  
Effect Model

Aims. Published data on the associations of VEGF polymorphisms with diabetic retinopathy (DR) susceptibility are inconclusive. A systematic meta-analysis was undertaken to clarify this topic.Methods. Data were collected from the following electronic databases: PubMed, Embase, OVID, Web of Science, Elsevier Science Direct, Excerpta Medica Database (EMBASE), and Cochrane Library with the last report up to January 10, 2014. ORs and 95% CIs were calculated for VEGF–2578C/A (rs699947), –1154G/A (rs1570360), –460T/C (rs833061), −634G>C (rs2010963), and +936C/T (rs3025039) in at least two published studies. Meta-analysis was performed in a fixed/random effect model by using the software STATA 12.0.Results. A total of 11 studies fulfilling the inclusion criteria were included in this meta-analysis. A significant relationship between VEGF+936C/T (rs3025039) polymorphism and DR was found in a recessive model (OR = 3.19, 95% CI = 1.20–8.41, andP(z)=0.01) in Asian and overall populations, while a significant association was also found between –460T/C (rs833061) polymorphism and DR risk under a recessive model (OR = 2.12, 95% CI = 1.12–4.01, andP(z)=0.02).Conclusions. Our meta-analysis demonstrates that +936C/T (rs3025039) is likely to be associated with susceptibility to DR in Asian populations, and the recessive model of –460T/C (rs833061) is associated with elevated DR susceptibility.

scholarly journals Effects of β-carotene intake on the risk of fracture: A Bayesian meta-analysis

2020 ◽  
Author(s):  
Tesfaye Getachew Charkos ◽  
Yawen Liu ◽  
Kemal Sherefa Oumer ◽  
Ann M Vuong ◽  
Shuman Yang
Keyword(s):  
Hip Fracture ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Risk Of Fracture ◽  
Β Carotene

Abstract Introduction The association between β-carotene intake and risk of fracture has been reported inconsistently. We conducted a meta-analysis to investigate the association between β-carotene intake and risk of fracture using a Bayesian approach. Methods We systematically searched PubMed, EMBASE and Cochrane library database for relevant articles until December 2019. We also performed a hand search based on reference lists from published articles. The Bayesian random effect model was used to synthesize data from individual studies. Results Nine studies with a total of 190,545 men and women were included in this meta-analysis. The participants' average age was 59.8 years old. For β-carotene intake, the pooled RR of any fracture was 0.67 (95% Credible Interval (CrI): 0.51-0.82; heterogeneity: P = 0.66, I 2 =0.00%) and 0.63 (95%CrI: 0.44-0. 82) for hip fracture. By study design, the pooled RRs were 0.55 (95% CrI: 0.14-0.96) for case-control studies and 0.82 (95% CrI: 0.58-0.99) for cohort studies. By geographic region, the pooled RRs were 0.58 (95% CrI: 0.28-0.89) for studies conducted in China, 0.86 (95% CrI: 0.35-0.1.37) in America and 0.91(95% CrI: 0.75-1.00) Europe. By gender: the pooled RRs were 0.88 (95% CrI: 0.73-0.99) for males and 0.76 (95% CrI: 0.44-1.07) for females. The probability that β-carotene intakes reduce the risk of any fracture and hip fracture by more than 20% was 95%. Conclusion The present meta-analysis suggests that β-carotene intake was inversely associated with fracture risk, consistently observed for case-control and cohort studies. Further randomized control trial is warranted to confirm this finding.

Association between Vitamin C Intake and Glioma Risk: Evidence from a Meta-Analysis

2015 ◽  
Vol 44 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Siru Zhou ◽  
Xiaoya Wang ◽  
Ya Tan ◽  
Lingli Qiu ◽  
Huan Fang ◽  
...  
Keyword(s):  
Vitamin C ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Case Control Studies ◽  
Relative Risks ◽  
Effect Model ◽  
Glioma Risk

Background: The field of quantifying the association between the intake of vitamin C and risk of glioma still has conflicts. Thus, we performed a comprehensive meta-analysis to test the hypothesis that a high intake of vitamin C may be a protective effect on glioma risk. Methods: Pertinent studies were identified by a search in PubMed and Web of Knowledge up to June 2014. The random-effect model was used to combine study-specific results. Publication bias was estimated using Begg' funnel plot and Egger's regression asymmetry test. Results: Thirteen articles with 15 studies (2 cohort study and 13 case-control studies) involving 3,409 glioma cases about vitamin C intake and glioma risk were used in this meta-analysis. The combined relative risks (RRs) of glioma associated with vitamin C intake was 0.86 (95% CIs = 0.75-0.99). Overall, significant protective associations were also found in the American population (RRs = 0.85, 95% CIs = 0.73-0.98) and case-control studies (RRs = 0.80, 95% CIs = 0.69-0.93). No publication bias was found. Conclusions: Our analysis indicated that vitamin C intake might decrease the risk of glioma, especially among the Americans.

scholarly journals Circulating endocan and preeclampsia: a meta-analysis

2020 ◽  
Vol 40 (1) ◽  
Author(s):  
Xia Lan ◽  
Zhaoming Liu
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Normal Pregnancy ◽  
Case Control ◽  
Significant Heterogeneity ◽  
Case Control Studies ◽  
Effect Model ◽  
Matched Case ◽  
The Difference

Abstract Background: Endocan, a novel protein involved in inflammation and endothelial dysfunction, has been suggested to be related to preeclampsia, although the results of previous studies were not consistent. The aim of the study was to evaluate the potential difference of circulating endocan in women with preeclampsia and those with normal pregnancy. Methods: Matched case–control studies evaluating the difference of circulating endocan between women with preeclampsia and those with normal pregnancy were identified via systematic search of PubMed and Embase databases. A random-effect model or a fixed-effect model was used to pool the results according to the heterogeneity. Subgroup analysis was performed to evaluate whether the timing of preeclampsia onset affected the outcome. Results: Overall, eight matched case–control studies, including 451 women with preeclampsia and 442 women with normal pregnancy were included. Significant heterogeneity was detected among the included studies (P for Cochrane’s Q test = 0.006, I2 = 65%). Meta-analysis with a random-effect model showed that women with preeclampsia had significantly higher circulating level of endocan compared with women with normal pregnancy (standardized mean difference = 0.37, 95% confidence interval: 0.13–0.62, P = 0.003). Subsequent subgroup analyses showed that the difference of circulating endocan between women with early onset preeclampsia and those with normal pregnancy was not statistically different from that between women with late-onset preeclampsia and those with normal pregnancy (P for subgroup difference = 0.81). Conclusions: Women with preeclampsia have higher circulating endocan than those with normal pregnancy.

scholarly journals Associations between ERAP1 Gene Polymorphisms and Psoriasis Susceptibility: A Meta-Analysis of Case-Control Studies

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiujuan Wu ◽  
Zongfeng Zhao
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Increased Risk ◽  
Newcastle Ottawa Scale ◽  
Relationship Of

This study is to investigate the relationship of endoplasmic reticulum aminopeptidase 1 (ERAP1) gene polymorphisms with psoriasis. Five databases of PubMed, China National Knowledge Infrastructure (CNKI), Embase, Web of Science, and Cochrane Library were searched for potential studies until 25 December 2019. Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of included studies. Meta-analysis was performed with PRISMA. A total of 9 case-control studies including 4858 psoriasis cases and 10,542 healthy controls were included. Three loci of ERAP1 gene polymorphisms (rs26653, rs30187, and rs27524) were evaluated in this meta-analysis. There was no significant association between rs26653 polymorphism and risk of psoriasis (C vs. G, OR = 1.01 , 95% CI: 0.80-1.28, P = 0.93 ). However, there was a significant association between rs30187 polymorphisms and psoriasis susceptibility (T vs. C, OR = 1.23 , 95% CI: 1.15-1.32, P < 0.00001 ) and a significant association between rs27524 polymorphisms and psoriasis susceptibility (A vs. G, OR = 1.17 , 95% CI: 1.09-1.25, P < 0.00001 ). For there were insufficient data of rs27044, rs151823, rs2248374, and rs2910686, we only conducted a systematic review for them. The rs30187 (C/T) and rs27524 (G/A) polymorphisms of ERAP1 are associated with increased risk of psoriasis. However, no significant association is observed between rs26653 (G/C) polymorphism and risk of psoriasis.

Association between pioglitazone (PZD) therapy and bladder cancer (BC): A meta-analysis of epidemiologic evidence.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 4546-4546
Author(s):  
Alexei Shimanovsky ◽  
Juliet Appiah ◽  
Basile M. Njei ◽  
Jessica Mary Clement
Keyword(s):  
Insulin Resistance ◽  
Treatment Duration ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Cochrane Library ◽  
Preliminary Review ◽  
Case Control Studies ◽  
Epidemiologic Evidence

4546 Background: There is evidence suggesting that PZD use may be a risk factor for BC, yet these reports are controversial. The aim of this meta-analysis is to review available data and evaluate the association between PZD and BC. Methods: Two independent reviewers conducted a systematic search of the Cochrane Library, OvidSP and PubMed for articles published January 1970 to April 2012. MeSH search terms included PZD, Actos, thiazolidinediones, diabetes mellitus (DM), and BC. Only studies reporting an effect measure for the association between PZD and BC were included. Subgroup analyses by study design and country were performed. Analysis was done using a random effect model after a preliminary review showed evidence of study heterogeneity. This was then assessed using the Cochrane’s Q and I2 statistics. Publication bias was evaluated using the Begg’s and Egger’s tests, and funnel plots. All analyses were performed using REVMAN 5.1. Results: A total of 6 studies (3 cohort and 3 case control) met the inclusion criteria. The overall pooled risk ratio (RR) for the association between PZD and BC was 1.12 (95% CI 1.09, 1.15; P <0.001). The summary RR for cohort and case control studies were 1.13(95% CI 1.07, 1.19; P <0.001) and 1.11(95% CI 1.07, 1.15; P <0.001), respectively. The subgroup analysis showed a significant association with BC in the USA and Europe, but not in Asia (RR 0.98, 95% CI 0.71, 1.34; P = 0.88). The association of PZD and BC was more sensitive for treatment duration (>12 month). Conclusions: Our study analyzed 1,214,071 patients, demonstrating a weak association between PZD and BC. The results were significant with increase in treatment duration, which corresponds to previous studies. This meta-analysis has limitations. Not all studies reported known variables associated with BC, such as smoking or occupational exposure. They did not address patient BMI, time from DM diagnosis or previous drug therapy. These parameters reflect severity of disease and level of insulin-resistance. Future studies should evaluate markers of insulin-resistance with PZD use and correlate with BC. Understanding the link between PZD and BC in the context of DM may allow physicians to determine a more accurate risk of PZD use.

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