Genetic Polymorphism rs6505162 in MicroRNA-423 May Not Be Associated with Susceptibility of Breast Cancer: A Systematic Review and Meta-Analysis

Background. MicroRNA-423 (miR-423) rs6505162 polymorphism is found to be associated with breast cancer (BC) risk. However, the results were inconsistent. This study meta-analyzed the literature on possible association between rs6505162 polymorphism and BC risk. Methods. PubMed, Embase, Google Scholar, and the Chinese National Knowledge Infrastructure (CNKI) databases were systematically searched to identify relevant studies. Meta-analyses were performed to examine the association between rs6505162 polymorphism and BC. Results. None of the five genetic models suggested a significant association between rs6505162 polymorphism and BC risk: allelic model, OR 1.02, 95% CI 0.18–1.28, P = 0.85 ; recessive model, OR 0.99, 95% CI 0.72–1.38, P = 0.97 ; dominant model, OR 0.93, 95% CI 0.72–1.21, P = 0.60 ; homozygous model, OR 1.04, 95% CI 0.66–1.65, P = 0.87 ; and heterozygous model, OR 1.07, 95% CI 0.90–1.28, P = 0.45 . Similar results were obtained in subgroup analyses of Asian, Chinese, and Caucasian patients. Conclusion. The available evidence suggests no significant association between rs6505162 polymorphism and BC risk. These conclusions should be verified in large, well-designed studies.

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TP53 codon 72 polymorphisms and breast carcinoma susceptibility: A meta-analysis

Journal of Clinical Oncology ◽

10.1200/jco.2009.27.15_suppl.e22171 ◽

2009 ◽

Vol 27 (15_suppl) ◽

pp. e22171-e22171

Author(s):

B. Zhu ◽

W. Zhuo ◽

Z. Chen

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Breast Carcinoma ◽

Meta Analysis ◽

Inclusion Criteria ◽

Codon 72 ◽

Knowledge Infrastructure ◽

Increased Risk ◽

Meta Analyses ◽

Chinese National Knowledge Infrastructure

e22171 Background: Previously, TP53 codon 72 polymorphisms have been implicated as risk factors for various cancers. Several studies have conducted on the association of TP53 codon 72 polymorphisms with susceptibility to breast carcinoma and have yielded inconclusive results. The aim of the present study was to assess possible associations of breast cancer risk with TP53 codon 72 polymorphisms. Methods: We conducted a search in the Medline, EMBASE, OVID, Sciencedirect, and Chinese National Knowledge Infrastructure (CNKI) without a language limitation, covering all papers published up to Dec 2008. The associated literature was acquired through deliberate searching and selected based on the established inclusion criteria for publications. Results: Consequently, fifteen studies, including 3436 cases and 4394 controls, met the included criteria and thus were selected. Ultimately, the relevant data were extracted and further analyzed using systematic meta- analyses. The results showed that individuals carrying homozygote Arg/Arg genotype have a significant increased risk of breast cancer compared with those carrying Pro/Pro genotype (OR: 1.58, 95%CI:1.10–2.28). For Arg allele, no evidence indicated that individuals with Arg/Arg genotype have an increased risk of breast cancer compared with those with a combined Pro genotype (Arg/Pro+Pro/Pro) (OR: 1.68, 95%CI:1.24–2.29). For Pro allele, individuals with homozygote Pro/Pro genotype have a marked decreased susceptibility to breast cancer relative to those with a combined Arg genotype (Arg/Pro+Arg/Arg) (OR: 0.84, 95%CI:0.73–0.98). Conclusions: The results of the present study suggest that TP53 codon 72 polymorphisms might be a risk factor for breast cancer. Homozygote Arg allele genotype could significantly increase susceptibility to breast cancer, while Pro/Pro allele markedly decreases breast risk. No significant financial relationships to disclose.

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ASSOCIATION OF RS2435357 AND RS1800858 POLYMORPHISMS IN RET PROTO-ONCOGENE WITH HIRSCHSPRUNG DISEASE: SYSTEMATIC REVIEW AND META-ANALYSIS

ABCD Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) ◽

10.1590/0102-672020190001e1448 ◽

2019 ◽

Vol 32 (3) ◽

Cited By ~ 2

Author(s):

Abdolhamid AMOOEE ◽

Mohamad Hosein LOOKZADEH ◽

Seyed Reza MIRJALILI ◽

Seyed Mohsen MIRESMAEILI ◽

Kazem AGHILI ◽

...

Keyword(s):

Systematic Review ◽

Meta Analysis ◽

Hirschsprung Disease ◽

Recessive Model ◽

Accurate Estimation ◽

Dominant Model ◽

Knowledge Infrastructure ◽

Increased Risk ◽

Chinese National Knowledge Infrastructure ◽

Allele Model

ABSTRACT Introduction: Many published studies have estimated the association of rs2435357 and rs1800858 polymorphisms in the proto-oncogene rearranged during transfection (RET) gene with Hirschsprung disease (HSCR) risk. However, the results remain inconsistent and controversial. Aim: To perform a meta-analysis get a more accurate estimation of the association of rs2435357 and rs1800858 polymorphisms in the RET proto-oncogene with HSCR risk. Methods: The eligible literatures were searched by PubMed, Google Scholar, EMBASE, and Chinese National Knowledge Infrastructure (CNKI) up to June 30, 2018. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the susceptibility to HSCR. Results: A total of 20 studies, including ten (1,136 cases 2,420 controls) for rs2435357 and ten (917 cases 1,159 controls) for rs1800858 were included. The overall results indicated that the rs2435357 (allele model: OR=0.230, 95% CI 0.178-0.298, p=0.001; homozygote model: OR=0.079, 95% CI 0.048-0.130, p=0.001; heterozygote model: OR=0.149, 95% CI 0.048-0.130, p=0.001; dominant model: OR=0.132, 95% CI 0.098-0.179, p=0.001; and recessive model: OR=0.239, 95% CI 0.161-0.353, p=0.001) and rs1800858 (allele model: OR=5.594, 95% CI 3.653-8.877, p=0.001; homozygote model: OR=8.453, 95% CI 3.783-18.890, p=0.001; dominant model: OR=3.469, 95% CI 1.881-6.396, p=0.001; and recessive model: OR=6.120, 95% CI 3.608-10.381, p=0.001) polymorphisms were associated with the increased risk of HSCR in overall. Conclusions: The results suggest that the rs2435357 and rs1800858 polymorphisms in the RET proto-oncogene might be associated with HSCR risk.

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Association between angiotensinogen T174M polymorphism and the risk of diabetic nephropathy: A meta-analysis

Journal of the Renin-Angiotensin-Aldosterone System ◽

10.1177/1470320318823927 ◽

2019 ◽

Vol 20 (1) ◽

pp. 147032031882392 ◽

Cited By ~ 1

Author(s):

Nina Liu ◽

Youmin Wang

Keyword(s):

Diabetic Nephropathy ◽

Odds Ratio ◽

Meta Analysis ◽

Recessive Model ◽

Random Effects Model ◽

Dominant Model ◽

Study Results ◽

Subgroup Analyses ◽

Agt Gene ◽

T174m Polymorphism

Objective: Although the angiotensinogen ( AGT) gene T174M polymorphism has been implicated in the pathogenesis of diabetic nephropathy (DN), study results have been inconsistent. The present meta-analysis was conducted to determine the correlation of AGT T174M polymorphism with DN. Methods: We retrospectively extracted relevant studies from Embase as well as PubMed databases. Additionally, a fixed- or random-effects model was employed for calculation of pooled odds ratio (OR) along with 95% confidence interval (CI). Results: In total, we identified six studies (1179 cases and 927 controls) regarding the AGT gene T174M polymorphism. The pooled ORs for the association between the AGT T174M polymorphism and DN risk were not statistically significant under all genetic models (M vs T: OR = 1.22, 95% CI = 0.84–1.75; MM vs TT: OR = 1.94, 95% CI = 0.93–4.04; MT vs TT: OR = 1.11, 95% CI = 0.76–1.63; the dominant model: OR =1.19, 95% CI = 0.80–1.77; the recessive model: OR = 1.94, 95% CI = 0.93–4.03). Subgroup analyses based on the type of race showed the M allele of the AGT T174M polymorphism increased DN risk in Asians, but not in Caucasians. Conclusions: Our study indicated that the T174M polymorphism in the AGT gene was associated with DN in Asians.

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Association between BRCA1 polymorphisms rs799917 and rs1799966 and breast cancer risk: a meta-analysis

Journal of International Medical Research ◽

10.1177/0300060519826819 ◽

2019 ◽

Vol 47 (4) ◽

pp. 1409-1416

Author(s):

Meiming Yang ◽

Xiaoli Du ◽

Feng Zhang ◽

Shifang Yuan

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Confidence Intervals ◽

Subgroup Analysis ◽

Meta Analysis ◽

Recessive Model ◽

Dominant Model ◽

Odds Ratios

Background Several studies have reported correlations between BRCA1 polymorphisms rs799917 and rs1799966 with the risk of breast cancer (BC). However, this relationship remains controversial. Methods We conducted a meta-analysis of seven studies to assess the associations between BRCA1 rs799917 and rs1799966 and BC risk, with the aim of more accurately determining the potential correlation. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated to evaluate the correlation of rs799917 and rs1799966 with BC risk. Results There was no overall correlation between BRCA1 rs799917 and BC risk (TT vs CC: OR = 0.87, 95% CI = 0.66–1.16; CT vs CC: OR = 1.02, 95% CI = 0.89–1.15; dominant model: OR = 0.99, 95% CI = 0.88–1.11; recessive model: OR = 0.87, 95% CI = 0.65–1.16). Subgroup analysis by ethnicity also revealed no significant correlation between rs799917 and BC risk in either Asians or Caucasians. There was also no significant association between BRCA1 rs1799966 and BC risk (GG vs AA: OR = 0.70, 95% CI = 0.33–1.47; AG vs AA: OR = 0.68, 95% CI = 0.35–1.30; dominant model: OR = 0.76, 95% CI = 0.49–1.06; recessive model: OR = 0.82, 95% CI = 0.49–1.36). Conclusion BRCA1polymorphisms rs799917 and rs1799966 were not significantly associated with BC risk in this meta-analysis.

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

10.21203/rs.2.16531/v1 ◽

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.

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Association between interleukin-8 −251A/T polymorphism and the risk of tuberculosis: A meta-analysis

Journal of International Medical Research ◽

10.1177/0300060520917877 ◽

2020 ◽

Vol 48 (5) ◽

pp. 030006052091787

Author(s):

Qin Hu ◽

Haibo Hua ◽

Lihong Zhou ◽

Xingwu Zou

Keyword(s):

Confidence Intervals ◽

Large Scale ◽

Meta Analysis ◽

Recessive Model ◽

Interleukin 8 ◽

Dominant Model ◽

Subgroup Analyses ◽

Relationship Of ◽

The Relationship

Objective The relationship between interleukin-8 ( IL8) −251A/T polymorphism and tuberculosis (TB) risk remains controversial. Therefore, the present meta-analysis was performed by retrieving relevant studies from the available literature. Methods We comprehensively searched three databases to identify eligible literature on the relationship of IL8 −251A/T polymorphism with TB risk, calculated pooled odds ratios (OR) with 95% confidence intervals (CI), and subsequent evaluated the heterogeneity and publication bias. Results We found that IL8 −251A/T polymorphism increased TB risk (AA vs. TT: OR = 2.86, 95%CI: 1.46–5.60; AT vs. TT: OR = 1.64, 95%CI: 1.15–2.34; dominant model: OR = 1.88, 95%CI: 1.24–2.86; recessive model: OR = 1.77, 95%CI: 1.17–2.69). Subgroup analyses based on race revealed that the IL8 −251A/T polymorphism might be associated with the risk of TB in African but not Asian individuals. Conclusion The IL8 −251A/T polymorphism might be related to the risk of TB. Nevertheless, large-scale studies should be performed to confirm the role of IL8 −251A/T polymorphism on TB risk.

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Associations Between Adipokines Gene Polymorphisms and Osteoarthritis: a Meta-analysis

10.21203/rs.3.rs-771310/v1 ◽

2021 ◽

Author(s):

Yuqing Wang ◽

Fanqiang Meng ◽

Jing Wu ◽

Huizhong Long ◽

Jiatian Li ◽

...

Keyword(s):

Gene Polymorphisms ◽

Web Of Science ◽

Meta Analysis ◽

Recessive Model ◽

Systematic Search ◽

Dominant Model ◽

China National Knowledge Infrastructure ◽

Knowledge Infrastructure ◽

Registration Number ◽

Allele Model

Abstract Background: Adipokines gene polymorphisms are speculated to have associations with the risk of osteoarthritis (OA), but evidences remain conflicting. This study therefore aimed to examine the potential associations between adipokines gene polymorphisms and OA.Methods: A systematic search was performed on PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), and Wanfang up to March 31, 2020. Meta-analysis was carried out by focusing on associations between adipokines gene polymorphisms and OA with allele model, dominant model, recessive model, homozygote model, and heterozygote model.Results: The present meta-analysis included 13 studies containing 3,661 OA patients and 4,864 controls for analysis. Significant associations were observed between ADIPOQ rs2241766 and OA in Asians (dominant: OR = 1.35, 95% CI 1.03-1.78; heterozygote: OR = 1.43, 95% CI 1.07-1.19), between LEPR rs1137101 and OA in the overall population (recessive: OR = 0.40, 95% CI 0.21-0.79; homozygote: OR = 0.38, 95% CI 0.18-0.79), between VISFATIN rs4730153 and OA in Asians (allele: OR = 0.58, 95% CI 0.41-0.83; dominant: OR = 0.57, 95% CI 0.39-0.83; heterozygote: OR = 0.59, 95% CI 0.40-0.86), and between VISFATIN rs16872158 and OA in Asians (allele: OR = 1.84, 95% CI 1.26-2.68; dominant: OR = 1.94, 95% CI 1.31-2.89; heterozygote: OR = 1.97, 95% CI 1.31-2.95).Conclusions: Adipokines gene polymorphisms may be associated with OA. In particular, associations were observed in ADIPOQ rs2241766, LEPR rs1137101, VISFATIN rs4730153, and VISFATIN rs16872158 in the present study. PROSPERO registration number: CRD42020187664.

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Association between XRCC3 rs861539(Thr241Met) polymorphism and thyroid cancer risk (a Meta-analysis)

10.21203/rs.3.rs-285788/v1 ◽

2021 ◽

Author(s):

Yayun Wu ◽

Yun Ren ◽

Zhimin Cao ◽

Kai Zhang ◽

Xiaoqiang Dong ◽

...

Keyword(s):

Thyroid Cancer ◽

Cancer Risk ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Recessive Model ◽

Single Nucleotide ◽

Knowledge Infrastructure ◽

Xrcc3 Gene ◽

Thyroid Cancer Risk ◽

Chinese National Knowledge Infrastructure

Abstract Objective To explore the association between single nucleotide polymorphism (SNP) in the XRCC3 rs861539(Thr241Met) locus and thyroid cancer risk. Methods Studies investigating the association between SNP in the XRCC3 gene and thyroid cancer susceptibility were retrieved from the PubMed, Embase, Web of Science, CNKI (Chinese National Knowledge Infrastructure), WanFang, and CBM (China Biology Medicine) databases. Eligible studies were screened according to inclusion/exclusion criteria and principles of quality evaluation. Meta-analysis was performed using Stata 14.0 software. Odds ratios with their corresponding 95% confidence intervals were pooled to assess the association between SNP in the XRCC3 gene rs861539 locus and thyroid cancer susceptibility. Results 10 articles(11 studies) were eligible for this meta-analysis. Meta-analysis results were shown as follows: No significant association was found between XRCC3 rs861539 polymorphism and thyroid cancer risk in Dominant and Overdominant models〔Dominant model: CT+TT vs CC, OR=1.231, 95% CI(0.998, 1.474); Overdominant model: CT vs TT+CC, OR=1.05, 95% CI(0.94, 1.18)〕. Significant associations were found in Recessive and Allelic models〔Recessive model: TT vs CC+CT, OR=1.632, 95% CI(1.349, 1.974); Allelic model: T vs C: OR=1.263, 95% CI(1.091, 1.462)〕. Conclusion The results of this study suggest that the XRCC3 rs861539(Thr241Met) polymorphism may be associated with an increased thyroid cancer risk in overall population, and a tendency for significantly increased thyroid cancer risk in TT(Met/Met) genotype population.

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Meta-analysis of the association between MBD4 Glu346Lys polymorphism and cancer risk

Journal of International Medical Research ◽

10.1177/0300060519895667 ◽

2019 ◽

pp. 030006051989566 ◽

Cited By ~ 1

Author(s):

Jianguo Wang ◽

Huaxiang Shen ◽

Huijun Liang

Keyword(s):

Cancer Risk ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Strong Association ◽

Document Retrieval ◽

Recessive Model ◽

Knowledge Infrastructure ◽

Different Populations ◽

Risk Of Cancer ◽

Chinese National Knowledge Infrastructure

Objective The purpose of this study was to systematically evaluate the association between methyl-CpG binding domain 4, DNA glycosylase ( MBD4) Glu346Lys polymorphism and cancer risk. Methods A comprehensive document retrieval from the Chinese National Knowledge Infrastructure (CNKI), EMBASE, and PubMed databases was performed through 1 September 2019. The strength of the correlation was assessed using the pooled odds ratio (ORs) and 95% confidence interval (CIs). Results Five relevant studies were retrieved following screening, including 1804 cases and 2193 controls. We found no association between MBD4 Glu346Lys polymorphism and cancer risk under all genetic models. Nevertheless, a subgroup analysis based on country showed a strong association in the Chinese population. Under the recessive model, Chinese individuals with the Lys/Lys genotype had a higher risk of cancer (OR = 1.37, 95% CI = 1.11–1.70). Conclusion Analysis of the MBD4 Glu346Lys polymorphism in different populations will help to elucidate the pathogenesis of cancer. The polymorphism can be utilized as a biomarker for cancer susceptibility among Chinese people.

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Association between eNOS 4b/a Polymorphism and the Risk of Diabetic Retinopathy in Type 2 Diabetes Mellitus: A Meta-Analysis

Journal of Diabetes Research ◽

10.1155/2014/549747 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8 ◽

Cited By ~ 6

Author(s):

Ze-jun Ma ◽

Rui Chen ◽

Hui-Zhu Ren ◽

Xin Guo ◽

Jun Guo ◽

...

Keyword(s):

Diabetic Retinopathy ◽

Meta Analysis ◽

Additive Model ◽

Recessive Model ◽

China National Knowledge Infrastructure ◽

Knowledge Infrastructure ◽

Precise Estimation ◽

Type 2 Diabetic ◽

Allelic Model

Many studies have assessed the association between eNOS-4b/a polymorphism and the risk of diabetic retinopathy (DR) among type 2 diabetic subjects. However, the results are inconsistent. In order to derive a more precise estimation of the association, a meta-analysis was conducted. Fifteen studies with 3, 183 cases and 3, 410 controls were enrolled by searching the databases of Pubmed, Embase, China National Knowledge Infrastructure (CNKI), and Chinese Wanfang Database. Summary odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. The main analysis indicated no significant association between eNOS-4b/a polymorphism and the risk of DR in overall population [allelic model:OR=0.94(0.79–1.11); additive model:OR=0.91(0.73–1.14); recessive model:OR=1.01(0.81–1.25); dominant model:OR=0.91(0.75–1.09)]. Subgroup analysis by ethnicity also indicated no significant association. In conclusion, the current meta-analysis did not observe any association between the polymorphism of eNOS 4b/a and the risk of DR among type 2 diabetic subjects. However, larger well-designed studies are required to confirm this finding.

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