scholarly journals p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Group Analysis ◽  
Additive Model ◽  
Case Control ◽  
Recessive Model ◽  
Dominant Model ◽  
Case Control Studies ◽  
Genotype Frequencies ◽  
Risk Of Disease

Abstract Background The effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-analysis in order to assess the association of p.Arg72Pro variant of P53 gene with the risk of breast cancer. Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Case-control studies with age-matched on breast cancer havingevaluated the genotype frequencies of the TP53 p.Arg72Pro polymorphism were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Results Twenty-one publications with 7841 cases and 8876 controls were evaluated in this meta-analysis. Overall, our results suggested that TP53 p.Arg72Pro was associated with the risk of breast cancer for the dominant model (OR = 1.09, 95% CI = 1.02–1.16, P = 0.01) and the additive model (OR = 1.09, 95% CI = 1.01–1.17, P = 0.03), but not for the recessive model (OR = 1.07, 95% CI = 0.97–1.18, P = 0.19). According to the ethnic group analysis, Pro allele was associated with the risk of breast cancer in Caucasians for the dominant model and additive model (P = 0.02), and Africans for the recessive model and additive model (P = 0.03). Conclusions This meta-analysis found a significant association between TP53 p.Arg72Pro polymorphism and the risk of breast cancer. Individuals carrying at least one Pro allele were more likely to have breast cancer than individuals harboring the Arg allele.

scholarly journals p.Arg72Pro polymorphism of P53 and Breast Cancer Risk: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Additive Model ◽  
P53 Gene ◽  
Case Control ◽  
Additive Models ◽  
Case Control Studies ◽  
Genotype Frequencies

Abstract Background :The effect of the p.Arg72Pro variant of the P53 gene on the risk of developmentof breast cancer remains variable in populations. However, the use of strategiessuchas pooling age-matched controls with disease cases may provide a solid meta-analysis. Our goal was to perform a meta-analysis in order to assessthe association of p.Arg72Provariant of P53 gene with breast cancer risk. Methods : Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched case-control studies on breast cancer that have evaluated the genotype frequencies of the p.Arg72Pro of P53 gene were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Results : Twenty-one publications with cases age-matched controls including7841disease cases and 8876controls were evaluated in this meta-analysis. Overall, our results suggested that p.Arg72ProP53 was associated with a risk for breast cancer for the dominant model (OR= 1.09, 95% CI = 1.02-1.16; P= 0.01) and the additive model (OR= 1.09, 95% CI = 1.01-1.17; P= 0.03), but not in the recessive model (OR = 1.07, 95% CI = 0.97-1.16; P= 0.19). According to the ethnic group, allele Pro has been associated with breast cancer risk in Europeans for the dominant and additive models. Conclusions : This meta-analysis found a significant association between p.Arg72Pro in the P53 gene and the risk of breast cancer. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individualsharboringthe Arg allele.

scholarly journals TP53 p.Arg72Pro polymorphism and Breast Cancer Risk: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Additive Model ◽  
P53 Gene ◽  
Case Control ◽  
Additive Models ◽  
Case Control Studies ◽  
Genotype Frequencies

Abstract Background :The effect of the p.Arg72Pro variant of the P53 gene on the risk of developmentof breast cancer remains variable in populations. However, the use of strategiessuchas pooling age-matched controls with disease cases may provide a solid meta-analysis. Our goal was to perform a meta-analysis in order to assessthe association of p.Arg72Provariant of P53 gene with breast cancer risk. Methods : Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched case-control studies on breast cancer that have evaluated the genotype frequencies of the p.Arg72Pro of P53 gene were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Results : Twenty-one publications with cases age-matched controls including7841disease cases and 8876controls were evaluated in this meta-analysis. Overall, our results suggested that p.Arg72ProP53 was associated with a risk for breast cancer for the dominant model (OR= 1.09, 95% CI = 1.02-1.16; P= 0.01) and the additive model (OR= 1.09, 95% CI = 1.01-1.17; P= 0.03), but not in the recessive model (OR = 1.07, 95% CI = 0.97-1.16; P= 0.19). According to the ethnic group, allele Pro has been associated with breast cancer risk in Europeans for the dominant and additive models. Conclusions : This meta-analysis found a significant association between p.Arg72Pro in the P53 gene and the risk of breast cancer. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individualsharboringthe Arg allele.

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.

scholarly journals Vitamin D receptor Bsm I polymorphism and osteoporosis risk in postmenopausal women: a meta-analysis from 42 studies

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Jun Long Liao ◽  
Qiang Qin ◽  
Yong Sheng Zhou ◽  
Ru Ping Ma ◽  
He Chao Zhou ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Postmenopausal Women ◽  
Meta Analysis ◽  
Additive Model ◽  
Recessive Model ◽  
Case Control Studies ◽  
Genotype Frequencies ◽  
Increased Risk ◽  
Stratified Analysis ◽  
Osteoporosis Risk

Abstract Objective This study aimed to quantitatively summarize the evidence for VDR BsmI gene polymorphism and osteoporosis risk in postmenopausal women. Materials and methods The PubMed, EMBASE, Weipu, CNKI, and Wanfang databases were searched for eligible studies. Case-control studies containing available genotype frequencies of B/b were chosen, and odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of this association. Results 4485 osteoporosis and 5490 controls were identified in our meta-analysis. In the stratified analysis, a significant association was observed between VDR BsmI gene polymorphism and osteoporosis susceptibility in Caucasians (additive model: OR = 0.809, 95% CI 0.678~0.965, p = 0.019; recessive model: OR = 0.736, 95% CI 0.568~0.955, p = 0.021; and co-dominant model: bb vs. BB OR = 0.701, 95% CI 0.511~0.962 p = 0.028), and we failed to find any significant relationship in Asians. Conclusion The present meta-analysis suggests that VDR BsmI genotype is associated with increased risk of postmenopausal osteoporosis in Caucasians but not in Asians. To draw comprehensive and true conclusions, further prospective studies with larger numbers of participants worldwide are needed to examine associations between VDR BsmI polymorphism and osteoporosis in postmenopausal women.

scholarly journals Arg72Pro polymorphism in P53 gene and Breast Cancer Risk Population: a meta-analysis of case-control studies matched

2019 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Disease Risk ◽  
Meta Analysis ◽  
Additive Model ◽  
P53 Gene ◽  
Additive Models ◽  
Case Control Studies ◽  
Genotype Frequencies

Abstract Background: The effect of the Arg72Pro variant of the P53 gene on the risk of developing breast cancer remains variable in populations. However, using strategies like grouping age-matched controls with disease cases may provide a strong meta-analysis. Our goal was to perform a meta-analysis in order to study the association of Arg72Pro variant of P53 gene and breast cancer. Methods: Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched control studies on breast cancer that evaluated the genotype frequencies of the Arg72Pro P53 gene were selected. Fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the disease risk. Hardy-Weinberg equilibrium test was used to measure deviation in the distribution of genotypes in controls. Inconsistency was calculated to determine heterogeneity among the studies. Estimated publication bias was performed through the funnel plot and Egger’s test. Results: Nine publications with controls age-matched cases including 4684 disease cases and 4636 controls were evaluated in this meta-analysis, all were in the Caucasian population. Our results suggested that Arg72Pro P53 was associated with a risk for breast cancer in the dominant model (Pro/Pro+Arg/Pro vs. Arg/Arg: OR= 1.16, 95% CI = 1.04-1.31) and the additive model (Pro vs. Arg: OR= 1.13, 95% CI = 1.03-1.24, P= 0.007), but not in the recessive model (Pro/Pro vs. Arg/Arg + Arg/Pro, OR = 1.18, 95% CI = 0.96-1.44; P= 0.12). Conclusions: This meta-analysis found significant association between the Arg72Pro polymorphism in the P53 gene and the breast cancer risk. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individuals carrying the Arg allele.

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

2019 ◽  
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.ResultsIn the Malian patients studied here, 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 data are supported by the meta-analysis of broader ethnic and population groups.

scholarly journals Association of interleukin 10 rs1800896 polymorphism with susceptibility to breast cancer: a meta-analysis

2020 ◽  
Vol 48 (4) ◽  
pp. 030006052090486 ◽  
Author(s):  
ZiYin Zhu ◽  
Ji-Bin Liu ◽  
Xi Liu ◽  
LinXue Qian
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Interleukin 10 ◽  
Population Based ◽  
Case Control ◽  
Recessive Model ◽  
Breast Cancers ◽  
Case Control Studies ◽  
Asian Populations ◽  
Increased Risk

Objective To evaluate the correlation between interleukin 10 (IL-10) −1082A/G polymorphism (rs1800896) and breast cancers by performing a meta-analysis. Methods The Embase and Medline databases were searched through 1 September 2018 to identify qualified articles. Odds ratios (OR) and corresponding 95% confidence intervals (CIs) were applied to evaluate associations. Results In total, 14 case-control studies, including 5320 cases and 5727 controls, were analyzed. We detected significant associations between the IL10 −1082 G/G genotype and risk of breast cancer (AA + AG vs. GG: OR = 0.88, 95% CI = 0.80–0.97). Subgroup analyses confirmed a significant association in Caucasian populations (OR = 0.89, 95% CI = 0.80–0.99), in population-based case-control studies (OR = 0.87, 95% CI = 0.78–0.96), and in studies with ≥500 subjects (OR = 0.88, 95% CI = 0.79–0.99) under the recessive model (AA + AG vs. GG). No associations were found in Asian populations. Conclusions The IL10 −1082A/G polymorphism is associated with an increased risk of breast cancer. The association between IL10 −1082 G/G genotype and increased risk of breast cancer is more significant in Caucasians, in population-based studies, and in larger studies.

scholarly journals Lack of association between matrix metalloproteinase-1 gene rs1799750 polymorphism and osteoarthritis susceptibility: a meta-analysis

2019 ◽  
Vol 39 (4) ◽  
Author(s):  
Lei Peng ◽  
Jie Bin ◽  
Yang-chao Ou ◽  
Li-xin Zhu ◽  
Ji-ping Lu
Keyword(s):  
Gene Polymorphism ◽  
Matrix Metalloproteinase ◽  
Meta Analysis ◽  
Promoter Polymorphism ◽  
Case Control ◽  
Recessive Model ◽  
Dominant Model ◽  
Case Control Studies ◽  
Analysis Study ◽  
Matrix Metalloproteinase 1

Abstract Background. A relationship between matrix metalloproteinase-1 (MMP-1)-1607 (rs1799750) gene polymorphism and osteoarthritis (OA) susceptibility was reported in the Bioscience Reports journal; however, these results were inconsistent. To evaluate the specific relationship, we used a meta-analysis study to clarify the controversy. Methods. The relevant articles were retrieved on 20 October 2018 from PubMed, Elsevier, Springer, Ebase (Ovid), and Google Scholar. The number of alleles and genotypes for MMP-1 was obtained. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between MMP-1-1607 (rs1799750) 1G/2G promoter polymorphism and OA, while the Egger’s test was used to assess heterogeneity among studies and publication bias. All statistical analyses were conducted using STATA 12.0 software. Results. A total of six case–control studies covering 1133 cases and 1119 controls were included in the final meta-analysis. There was no significant association between MMP-1-1607 1G/2G promoter polymorphism and OA in all genetic models (2G versus 1G: OR = 1.12, 95% CI = 0.78–1.60; 1G/2G versus 1G/1G: OR  = 0.73, 95% CI = 0.32–1.67; 2G/2G versus 1G/1G: OR  =  1.31, 95% CI = 0.57–2.98; the recessive model: OR  =  1.23, 95% CI = 0.63-2.41; and the dominant model: OR  =  1.25, 95% CI = 0.79–1.97). We obtained similar results for the subgroup analysis using ethnicity and type of disease. Conclusion. We systematically investigated the association between MMP-1-1607 (rs1799750) 1G/2G polymorphism and OA susceptibility; however, the results show no correlation.

scholarly journals Title: Vitamin D Receptor Bsm I Polymorphism and Osteoporosis Risk in postmenopausal women: A Meta-Analysis from 42 Studies

2020 ◽  
Author(s):  
JunLong Liao ◽  
Qiang Qin ◽  
YongSheng Zhou ◽  
RuPing Ma ◽  
HeChao Zhou ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Postmenopausal Women ◽  
Meta Analysis ◽  
Additive Model ◽  
Recessive Model ◽  
Case Control Studies ◽  
Genotype Frequencies ◽  
Increased Risk ◽  
Stratified Analysis ◽  
Osteoporosis Risk

Abstract Objective: This study aimed to quantitatively summarize the evidence for VDR BsmI gene polymorphism and osteoporosis risk in postmenopausal women. Materials and Methods: The PubMed, EMBASE, Weipu, CNKI, and Wanfang database were searched for eligible studies. Case-control studies containing available genotype frequencies of B/b were chosen, and Odds ratio (OR) with ­­­95% confidence interval (CI) was used to assess the strength of this association. Results: 4485 osteoporosis and 5490 controls were identified in our meta-analysis. In the stratified analysis, a significant association was observed between VDR BsmI gene polymorphism and osteoporosis susceptibility in Caucasians (additive model: OR=0.809, 95% CI 0.678~0.965, p=0.019, recessive model: OR=0.736, 95% CI 0.568~0.955, p=0.021, and co-dominant model: bb vs. BB OR=0.701, 95% CI 0.511~0.962 p= 0.028), and we failed to find any significant relationship in Asians. Conclusion: The present meta-analysis suggests that VDR BsmI genotype is associated with increased risk of postmenopausal osteoporosis in Caucasians but not in Asians. To draw comprehensive and true conclusions, further prospective studies with larger numbers of participants worldwide are needed to examine associations between VDR BsmI polymorphism and osteoporosis in postmenopausal women.

scholarly journals Arg72Pro polymorphism in P53 gene and Breast Cancer Risk Population: a meta-analysis of case-control studies matched

2019 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Disease Risk ◽  
Meta Analysis ◽  
Additive Model ◽  
P53 Gene ◽  
Additive Models ◽  
Case Control Studies ◽  
Genotype Frequencies

Abstract Background The effect of the Arg72Pro variant of the P53 gene on the risk of developing breast cancer remains variable in populations. However, using strategies like grouping age-matched controls with disease cases may provide a strong meta-analysis. Our goal was to perform a meta-analysis in order to study the association of Arg72Pro variant of P53 gene and breast cancer.Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched control studies on breast cancer that evaluated the genotype frequencies of the Arg72Pro P53 gene were selected. Fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the disease risk. Hardy-Weinberg equilibrium test was used to measure deviation in the distribution of genotypes in controls. Inconsistency was calculated to determine heterogeneity among the studies. Estimated publication bias was performed through the funnel plot and Egger’s test.Results Nine publications with controls age-matched cases including 4684 disease cases and 4636 controls were evaluated in this meta-analysis, all were in the Caucasian population. Our results suggested that Arg72Pro P53 was associated with a risk for breast cancer in the dominant model (Pro/Pro+Arg/Pro vs. Arg/Arg: OR= 1.16, 95% CI = 1.04-1.31) and the additive model (Pro vs. Arg: OR= 1.13, 95% CI = 1.03-1.24, P= 0.007), but not in the recessive model (Pro/Pro vs. Arg/Arg + Arg/Pro, OR = 1.18, 95% CI = 0.96-1.44; P= 0.12).Conclusions This meta-analysis found significant association between the Arg72Pro polymorphism in the P53 gene and the breast cancer risk. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individuals carrying the Arg allele.

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