Association between interleukin-17 genetic polymorphisms and tuberculosis susceptibility: an updated meta-analysis

2017 ◽  
Vol 21 (12) ◽  
pp. 1307-1313 ◽  
Author(s):  
Z-G. Yu ◽  
B-Z. Wang ◽  
J. Li ◽  
Z-L. Ding ◽  
K. Wang
Keyword(s):  
Genetic Polymorphisms ◽  
Meta Analysis ◽  
Homogeneous Model ◽  
Recessive Model ◽  
Domain Model ◽  
Interleukin 17 ◽  
Large Sample Size ◽  
Case Control Studies ◽  
Heterogeneous Model ◽  
Allelic Model

OBJECTIVE: To investigate the association between the genetic polymorphisms of interleukin-17 (IL-17) and susceptibility to tuberculosis (TB).METHODS: Relevant case-control studies published up to July 2017 were searched. Odds ratios (ORs) and 95% confidence intervals (CIs) were employed to estimate the association.RESULTS: Eleven articles involving 4961 TB patients and 5435 healthy controls were selected. Four polymorphic sites were identified: IL-17A rs22275913, rs3748067 and rs3819024; and IL-17F rs763780. We found that the rs2275913 polymorphism was associated with reduced TB risk in Caucasians under the allelic model (A vs. G, OR 0.69, 95%CI 0.49–0.96; P = 0.03), heterogeneous model (AG vs. GG, OR 0.67, 95%CI 0.47–0.93; P = 0.02) and domain model (AA+AG vs. GG, OR 0.64, 95%CI 0.44–0.93; P = 0.02); rs3748067 was associated with increased TB risk in Asians under the homogeneous model (TT vs. CC, OR 1.36, 95%CI 1.03–1.79; P = 0.03) and recessive model (TT vs. CT+CC, OR 1.35, 95%CI 1.02–1.78; P = 0.03). Other genetic variants were not associated with TB risk.CONCLUSIONS: Our results suggest that the TT genotype of IL-17A rs3748067 might be a risk factor for TB in Asians; the A allele, as well as the AG and AA+AG genotypes of the rs2275913 polymorphism, might be protective against TB in Caucasians. Future studies with a large sample size are needed.

scholarly journals Association between genetic polymorphisms of interleukins and cerebral infarction risk: a meta-analysis

2016 ◽  
Vol 36 (6) ◽  
Author(s):  
Jiantao Wang ◽  
Niannian Fan ◽  
Yili Deng ◽  
Jie Zhu ◽  
Jing Mei ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Genetic Polymorphisms ◽  
Meta Analysis ◽  
Genetic Models ◽  
Large Sample Size ◽  
Nucleotide Polymorphisms ◽  
Case Control Studies ◽  
Immunoregulatory Cytokines ◽  
Strength Of Association ◽  
Allelic Model

Interleukins (ILs) are the most typical inflammatory and immunoregulatory cytokines. Evidences have shown that polymorphisms in ILs are associated with cerebral infarction risk. However, the results remain inconclusive. The present study was to evaluate the role of ILs polymorphisms in cerebral infarction susceptibility. Relevant case-control studies published between January 2000 and December 2015 were searched and retrieved from the electronic databases of Web of Science, PubMed, Embase and the Chinese Biomedical Database. The odds ratio (OR) with its 95% confidence interval (CI) were employed to calculate the strength of association. A total of 55 articles including 12619 cerebral infarction patients and 14436 controls were screened out. Four ILs (IL-1, IL-6, IL-10 and IL-18) contained nine single nucleotide polymorphisms (SNPs; IL-1α −899C/T, IL-1β −511C/T and IL-1β +3953C/T; IL-6 −174G/C and −572C/G; IL-10 −819C/T and −1082A/G; IL-18 −607C/A and −137G/C). Our result showed that IL-1α −899C/T and IL-18 −607C/A (under all the genetic models), and IL-6 −572C/G (under the allelic model, heterogeneity model and dominant model) were associated with increased the risk of cerebral infarction (P<0.05). Subgroup analysis by ethnicity showed that IL-6 −174G/C polymorphism (under all the five models) and IL-10 −1082A/G polymorphism (under the allelic model and heterologous model) were significantly associated with increased the cerebral infarction risk in Asians. Other genetic polymorphisms were not related with cerebral infarction susceptibility under any genetic models. In conclusion, IL-1α −899C/T, IL-6 −572C/G and IL-18 −607C/A might be risk factors for cerebral infarction development. Further studies with well-designed and large sample size are still required.

scholarly journals Association of TLR-2 Gene Polymorphisms with the Risk of Periodontitis: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Chao Shan ◽  
Abasijiang Aisaiti ◽  
Zhong Peng Wu ◽  
Ting Ting Wang ◽  
Jin Zhao
Keyword(s):  
Gene Polymorphisms ◽  
Large Scale ◽  
Meta Analysis ◽  
Critical Role ◽  
Case Control ◽  
Recessive Model ◽  
Immune Gene ◽  
Case Control Studies ◽  
Codominant Model ◽  
Allelic Model

Background. Periodontitis is a kind of chronic infectious disease, affecting the health of billions of people. In recent years, a number of studies have shown that multiple immune gene polymorphisms are associated with the susceptibility to periodontitis, among which TLR-2 plays a critical role in periodontitis. But most of the studies reported TLR-2 gene polymorphism and susceptibility to periodontitis are not consistent. Therefore, we included all eligible studies in our study for further meta-analysis. Methods. We used electronic databases, including CNKI, PubMed, EMBASE, and Web of Science databases, and relevant research published through June, 2020. Selecting studies involved case-control trials. For all eligibility studies, odds ratios (ORs) and 95% confidence intervals (95% CI) are provided or can be calculated from the study data. The size of the combined effect was calculated using STATA 15.0. Results. Our meta-analysis included 14 articles representing 18 case-control studies with a total of 3873 cases and 3438 control subjects. Significant association was found between periodontitis and TLR-2 rs1898830 polymorphism under the allelic model (A allele vs. G allele: p=0.014, OR=1.208, 95% CI: 1.039-1.406), recessive model (GG vs. GA+AA: p=0.028, OR=0.755, 95% CI: 0.588-0.970), and codominant model (GG VS. AA: p=0.014, OR=0.681, 95% CI: 0.501-0.925). In subgroup analysis, TLR-2 rs5743708 polymorphism was associated with periodontitis risk in Asians under an allelic model (G allele vs. A allele: p=0.017, OR=12.064, 95% CI: 1.570-92.688), dominant model (GA+AA vs.GG: p=0.016, OR=0.08, 95% CI: 0.010-0.620), and codominant model (GA VS. GG: p=0.016, OR=1.026, 95% CI: 0.821-1.282). Conclusion. The TLR-2 rs1898830, rs5743708 polymorphism may be associated with susceptibility to periodontitis. In the future, genome-wide approaches and large-scale, multiethnic case-control trials are still needed.

scholarly journals Interleukin 4 gene polymorphism (−589C/T) and the risk of asthma: a meta-analysis and met-regression based on 55 studies

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Ahmad Kousha ◽  
Armita Mahdavi Gorabi ◽  
Mehdi Forouzesh ◽  
Mojgan Hosseini ◽  
Markov Alexander ◽  
...  
Keyword(s):  
Asian American ◽  
Subgroup Analysis ◽  
Literature Search ◽  
Meta Analysis ◽  
East Asian ◽  
Recessive Model ◽  
Interleukin 4 ◽  
Case Control Studies ◽  
Asian Populations ◽  
Allelic Model

Abstract Background Numerous investigations have previously evaluated the association of interleukin (IL) 4 gene polymorphisms and the risk of asthma, conferring inconsistent results. To resolve the incongruent outcomes yielded from different single studies, we conducted the most up-to-date meta-analysis of IL4 gene −589C/T (rs2243250) polymorphism and susceptibility to asthma. Methods A systematic literature search was performed in ISI web of science, Scopus, Medline/PubMed databases prior to September 2020, and the pooled odds ratio (OR) and their corresponding 95% CI were calculated to determine the association strength. Results Literature search led to retrieving of 49 publications (55 case-control studies) containing 9572 cases and 9881 controls. It was revealed that IL4 gene −589C/T polymorphism increased the risk of asthma across all genetic models, including dominant model (OR = 1.22), recessive model (OR = 1.17), allelic model (OR = 1.21), and TT vs. CC model (OR = 1.34), but not the CT vs. TT model. The subgroup analysis by age indicated that IL4 gene -589C/T polymorphism was significantly associated with asthma risk in both pediatrics and adults. Additionally, the subgroup analysis by ethnicity revealed significant association in Asian, American, and Europeans. Finally, subgroup analysis by East Asian and non-East Asian populations indicated significant associations. Conclusions The current meta-analysis revealed that IL4 gene -589C/T polymorphism was a susceptibility risk in both pediatrics and adults in the whole and different ethnic groups.

scholarly journals Association between prodynorphin gene polymorphisms and opioid dependence susceptibility: a meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Chang-wang Wang ◽  
Min Ma ◽  
Wei-guang Lu ◽  
Ru-qin Luo
Keyword(s):  
Gene Polymorphisms ◽  
Opioid Dependence ◽  
Meta Analysis ◽  
Asian Population ◽  
Case Control Studies ◽  
Exclusion Criteria ◽  
Future Studies ◽  
Larger Sample ◽  
Allelic Model ◽  
Summary Odds Ratio

Abstract Background Prodynorphin (PDYN) gene polymorphisms have been linked with opioid dependence (OD) with conflicting outcomes, the aim of this study is to synthesize the existing evidence of the association between PDYN polymorphisms and OD susceptibility. Methods Four databases including PubMed, EMBASE, Web of Science, and Wanfang were retrieved for relevant studies before August, 2018. All identified studies were evaluated using predetermined inclusion and exclusion criteria. Summary odds ratio (OR) and 95% confidence interval (95%CI) were calculated to appraise the association. Statistical analysis was performed using RevMan 5.3 software. Results A total of seven case-control studies with 3129 cases and 3289 controls were recruited in the meta-analysis. For rs910080, rs1997794, rs1022563, and rs2235749 polymorphisms of PDYN gene, there were six, four, five, and four studies eventually included, respectively. The findings indicated that rs910080 polymorphism was significantly correlated with OD among Asian population under allelic model (A vs. G, OR = 1.30, 95% CI 1.04–1.62, P = 0.02, FDR = 0.05) and dominant model (AA+AG vs. GG, OR = 1.25, 95% CI 1.04–1.51, P = 0.02, FDR = 0.05). However, rs1022563, rs1997794 and rs2235749 polymorphisms did not appear to associate with OD susceptibility. Conclusions There existed a significant association between rs1022563 polymorphism and OD among Asian population. As the included studies were not adequate to guarantee a robust and convincing conclusion, future studies with larger sample size among more ethnicities are recommended.

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 Association between miR-499 rs3746444 polymorphism and ischemic stroke : A systematic review and meta-analysis

2019 ◽  
Author(s):  
Xiang Hong Liu ◽  
Mei Ling Liu ◽  
Rong Lin ◽  
Yaping Xing ◽  
Tingli Zhao ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sensitivity Analysis ◽  
Ischemic Stroke ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Recessive Model ◽  
Dominant Model ◽  
Statistical Association ◽  
Large Heterogeneity ◽  
Allelic Model

Abstract Background: To explore the generic association between miR-499 rs3746444 polymorphism and ischemic stroke (IS). Methods: We performed a systematic review and meta-analysis, odds ratio (OR) and 95% confidence intervals (CIs) were used to estimate the association quantitively. Results: A total of 6 studies (involving 2569 IS cases and 2645 controls) were included. miR-499 (rs3746444) polymorphism showed a statistically significant association with IS risk in the allelic model (G allele vs A allele), the dominant model (GG+AG vs AA), the recessive model (GG vs AG+AA) and the homozygote model (GG vs AA). ORs of the above 4 models were 1.20 (95%CI: 1.02, 1.40), 1.21 (95%CI: 1.01, 1.46), 1.40 (95%CI: 1.04, 1.88), 1.48 (95%CI: 1.10, 2.00) respectively. The I square of the allelic model and the dominant model was 58% and 59%, indicating large heterogeneity among included studies. By sensitivity analysis, I square of the two models dropped to 34.5% and 38.4%, the ORs were 1.26 (95%CI: 1.13, 1.42) and 1.28 (95%CI: 1.12, 1.46), there was still a statistical association between miR-499 (rs3746444) polymorphism and IS. The heterozygote model (AG vs AA) was not statistically significant, the OR was 1.18 (95%CI: 0.99, 1.42), the I square was 54%. Notably, by sensitivity analysis, I square of the heterozygote model dropped to 34.6%, the OR was 1.25 (95%CI: 1.08, 1.43), indicating a statistically significant association between miR-499 (rs3746444) polymorphism and IS. There was no publication bias for all the models by Egger's test. Conclusion: miR-499 (rs3746444) polymorphisms is associated with the increase of IS risk.

scholarly journals Association of PIN3 16-bp Duplication Polymorphism of TP53 gene with Breast Cancer Risk in Mali and A Meta-analysis.

2020 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Oumar Kassogue ◽  
Mamadou Lassine Keita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Tp53 Gene ◽  
Case Control ◽  
Recessive Model ◽  
Case Control Studies ◽  
Random Effects Models ◽  
Increased Risk

Abstract Background. Breast cancer, the most common tumor in women in Mali and worldwide has been linked to several risk factors, including genetic factors, such as the PIN3 16-bp duplication polymorphism of TP53 gene. The aim of our study was to evaluate the role of the PIN3 16-bp duplication polymorphism in the susceptibility to breast cancer in the Malian population and to perform a meta-analysis to better understand the correlation with data from other populations.Methods. We analyzed the PIN3 16-bp duplication polymorphism in blood samples of 60 Malian women with breast cancer and 60 healthy appearing Malian women using PCR. In addition, we performed a meta-analysis of data from case-control studies published in articles retrieved from international databases (Pubmed, Harvard University Library, Genetics Medical Literature Database, Genesis Library and Web of Science). Overall, odds ratio (OR) with 95% CI from fixed and random effects models were determined. Inconsistency was used to assess heterogeneity between studies and publication bias was estimated using the funnel plot.Results. In the studied Malian patients, a significant association of PIN3 16-bp duplication polymorphism with breast cancer risk was observed in dominant (A1A2+A2A2 vs. A1A1: OR = 2.26, CI 95% = 1.08-4.73; P = 0.02) and additive (A2 vs. A1: OR =1.87, CI 95% = 1.05-3.33; P = 0.03) models, but not the recessive model (P = 0.38). In the meta-analysis, nineteen (19) articles were included with a total of 6,018 disease cases and 4,456 controls. Except for the dominant model (P = 0.15), an increased risk of breast cancer was detected with the recessive (OR=1.46, 95% CI = 1.15-1.85; P = 0.002) and additive (OR = 1.11, 95% CI = 1.02-1.19; P = 0.01) models.Conclusion. The Malian case-control study suggests that PIN3 16-bp polymorphism duplication of TP53 gene is an important risk factor for breast cancer in Malian women. These findings are supported by the meta-analysis of studies from different ethnicities.

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