The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Zhi Ming Shao - One of the best experts on this subject based on the ideXlab platform.

  • lack of an association between a functional polymorphism in the interleukin 6 gene promoter and breast cancer risk a meta analysis involving 25 703 subjects
    Breast Cancer Research and Treatment, 2010
    Co-Authors: Lei Fan, Ao Xiang Chen, Chen Yang, Zhi Ming Shao
    Abstract:

    The association between a single-nucleotide polymorphism (SNP) −174G > C (rs1800795) located in the IL-6 gene promoter and breast cancer risk is still controversial and ambiguous. We performed in this study a more precise estimation of the relationship by meta-analyzing the currently available evidence from literature. A total of 11 publications containing 12 studies including 10,137 cases and 15,566 controls were identified. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the coDominant Model, Dominant Model, and recessive Model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between −174G > C and breast cancer risk (for CC vs. GG: OR = 1.024, 95% CI: 0.935–1.121; for GC vs. GG: OR = 1.008, 95% CI: 0.946-1.073; for Dominant Model: OR = 0.980, 95% CI: 0.857–1.121; and for recessive Model: OR = 1.027, 95% CI: 0.944–1.117). In the subgroup analyses by ethnicity, no significant associations were observed in any genetic Models. In summary, the present meta-analysis suggests that the functional polymorphism −174G > C within the IL-6 gene promoter is not associated with breast cancer risk. Identifying a unique SNP as a breast cancer risk predictor remains a very challenging task.

  • xrcc2 arg188his polymorphism is not directly associated with breast cancer risk evidence from 37 369 subjects
    Breast Cancer Research and Treatment, 2010
    Co-Authors: Ao Xiang Chen, Lei Fan, Chen Yang, Li Xin Qiu, Zhi Ming Shao
    Abstract:

    Several common single-nucleotide polymorphisms (SNPs) within the XRCC2 gene have been identified as potential breast cancer susceptibility loci and a coding SNP in exon 3 (Arg188His, rs3218536) has been extensively studied, though the results were inconclusive. We, in this study, performed a more convincing and precise estimation of the relationship between Arg188His and breast cancer by meta-analyzing the currently available evidence from literature. A total of 16 studies involving 18,341 cases and 19,028 controls (37,369 subjects) were identified for meta-analysis. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the coDominant Model, Dominant Model, and recessive Model. When all the studies were pooled into meta-analysis, there was no evidence of a significant association between Arg188His and breast cancer risk in any genetic Models. Notably, Arg188His tended to be related to breast cancer in a fixed-effects, Dominant Model (OR = 0.922, 95% CI: 0.870-0.978, P = 0.007); however, since there was a between-study heterogeneity (P (h) = 0.014), we assessed the association using a random-effects Model instead and no significance was observed (OR = 0.932, 95% CI: 0.852-1.020, P = 0.128). Subgroup analysis by ethnicity did not change the results. In summary, the present meta-analysis suggests that the XRCC2 Arg188His is not directly associated with breast cancer risk. However, considering that susceptibility is likely to be the result of a complex interplay between genetic variation and environmental factors, we cannot rule out the possibility of interactions between Arg188His and other variants. Further investigation on the influence of this SNP in modifying the relationship between environment exposures and breast cancer risk is still needed.

Yajie Wang - One of the best experts on this subject based on the ideXlab platform.

  • sult1a1 arg213his polymorphism and lung cancer risk a meta analysis
    Asian Pacific Journal of Cancer Prevention, 2012
    Co-Authors: Shaoguang Liao, Lu Liu, Yingyi Zhang, Ying Wang, Yajie Wang
    Abstract:

    Background: The SULT1A1 Arg213His polymorphism is reported to be associated with lung cancer risk. However, this relationship remains controversial. For better understanding a meta-analysis was therefore performed. Methods: An extensive search was performed to identify all case-control studies investigating association between SULT1A1 Arg213His polymorphism and lung cancer risk. The strength was assessed by odds ratio (OR) with the corresponding 95% confidence interval (95%CI). Results: A total of five publications covering 1,669 cases and 1,890 controls were included in this meta-analysis. No significant association between SULT1A1 Arg213His polymorphism and lung cancer risk was observed in overall comparisons in all genetic Models (Dominant Model: OR=1.33, 95%CI=1.00-1.76, P=0.05; additive Model: OR=1.30, 95%CI=0.93-1.81, P=0.12; recessive Model: OR=1.21, 95%CI=0.89-1.66, P=0.23). However, on subgroup analysis, an elevated risk in mixed populations with variant His allele was revealed in the Dominant Model (OR=1.66, 95% CI=1.06-2.62, P=0.03). Furthermore, the SULT1A1 Arg213His polymorphism was associated with an increased risk of lung cancer in both females and males in the Dominant Model (females: OR=1.72, 95%CI=1.29-2.27, P=0.00; males: OR=1.46, 95%CI=1.19-1.78, P=0.00). No significant association between this polymorphism and different smoking status (smokers and non-smokers) and the other ethnicities (Asians and Caucasians) was shown. Conclusions: The results of this meta-analysis indicate that the SULT1A1 Arg213His polymorphism is not associated with lung cancer risk in Asians and Caucasians, but possible elevation for genotype (GA/AA) in mixed populations and males and females needs further investigation.

Lei Fan - One of the best experts on this subject based on the ideXlab platform.

  • lack of an association between a functional polymorphism in the interleukin 6 gene promoter and breast cancer risk a meta analysis involving 25 703 subjects
    Breast Cancer Research and Treatment, 2010
    Co-Authors: Lei Fan, Ao Xiang Chen, Chen Yang, Zhi Ming Shao
    Abstract:

    The association between a single-nucleotide polymorphism (SNP) −174G > C (rs1800795) located in the IL-6 gene promoter and breast cancer risk is still controversial and ambiguous. We performed in this study a more precise estimation of the relationship by meta-analyzing the currently available evidence from literature. A total of 11 publications containing 12 studies including 10,137 cases and 15,566 controls were identified. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the coDominant Model, Dominant Model, and recessive Model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between −174G > C and breast cancer risk (for CC vs. GG: OR = 1.024, 95% CI: 0.935–1.121; for GC vs. GG: OR = 1.008, 95% CI: 0.946-1.073; for Dominant Model: OR = 0.980, 95% CI: 0.857–1.121; and for recessive Model: OR = 1.027, 95% CI: 0.944–1.117). In the subgroup analyses by ethnicity, no significant associations were observed in any genetic Models. In summary, the present meta-analysis suggests that the functional polymorphism −174G > C within the IL-6 gene promoter is not associated with breast cancer risk. Identifying a unique SNP as a breast cancer risk predictor remains a very challenging task.

  • xrcc2 arg188his polymorphism is not directly associated with breast cancer risk evidence from 37 369 subjects
    Breast Cancer Research and Treatment, 2010
    Co-Authors: Ao Xiang Chen, Lei Fan, Chen Yang, Li Xin Qiu, Zhi Ming Shao
    Abstract:

    Several common single-nucleotide polymorphisms (SNPs) within the XRCC2 gene have been identified as potential breast cancer susceptibility loci and a coding SNP in exon 3 (Arg188His, rs3218536) has been extensively studied, though the results were inconclusive. We, in this study, performed a more convincing and precise estimation of the relationship between Arg188His and breast cancer by meta-analyzing the currently available evidence from literature. A total of 16 studies involving 18,341 cases and 19,028 controls (37,369 subjects) were identified for meta-analysis. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the coDominant Model, Dominant Model, and recessive Model. When all the studies were pooled into meta-analysis, there was no evidence of a significant association between Arg188His and breast cancer risk in any genetic Models. Notably, Arg188His tended to be related to breast cancer in a fixed-effects, Dominant Model (OR = 0.922, 95% CI: 0.870-0.978, P = 0.007); however, since there was a between-study heterogeneity (P (h) = 0.014), we assessed the association using a random-effects Model instead and no significance was observed (OR = 0.932, 95% CI: 0.852-1.020, P = 0.128). Subgroup analysis by ethnicity did not change the results. In summary, the present meta-analysis suggests that the XRCC2 Arg188His is not directly associated with breast cancer risk. However, considering that susceptibility is likely to be the result of a complex interplay between genetic variation and environmental factors, we cannot rule out the possibility of interactions between Arg188His and other variants. Further investigation on the influence of this SNP in modifying the relationship between environment exposures and breast cancer risk is still needed.

Ao Xiang Chen - One of the best experts on this subject based on the ideXlab platform.

  • lack of an association between a functional polymorphism in the interleukin 6 gene promoter and breast cancer risk a meta analysis involving 25 703 subjects
    Breast Cancer Research and Treatment, 2010
    Co-Authors: Lei Fan, Ao Xiang Chen, Chen Yang, Zhi Ming Shao
    Abstract:

    The association between a single-nucleotide polymorphism (SNP) −174G > C (rs1800795) located in the IL-6 gene promoter and breast cancer risk is still controversial and ambiguous. We performed in this study a more precise estimation of the relationship by meta-analyzing the currently available evidence from literature. A total of 11 publications containing 12 studies including 10,137 cases and 15,566 controls were identified. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the coDominant Model, Dominant Model, and recessive Model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between −174G > C and breast cancer risk (for CC vs. GG: OR = 1.024, 95% CI: 0.935–1.121; for GC vs. GG: OR = 1.008, 95% CI: 0.946-1.073; for Dominant Model: OR = 0.980, 95% CI: 0.857–1.121; and for recessive Model: OR = 1.027, 95% CI: 0.944–1.117). In the subgroup analyses by ethnicity, no significant associations were observed in any genetic Models. In summary, the present meta-analysis suggests that the functional polymorphism −174G > C within the IL-6 gene promoter is not associated with breast cancer risk. Identifying a unique SNP as a breast cancer risk predictor remains a very challenging task.

  • xrcc2 arg188his polymorphism is not directly associated with breast cancer risk evidence from 37 369 subjects
    Breast Cancer Research and Treatment, 2010
    Co-Authors: Ao Xiang Chen, Lei Fan, Chen Yang, Li Xin Qiu, Zhi Ming Shao
    Abstract:

    Several common single-nucleotide polymorphisms (SNPs) within the XRCC2 gene have been identified as potential breast cancer susceptibility loci and a coding SNP in exon 3 (Arg188His, rs3218536) has been extensively studied, though the results were inconclusive. We, in this study, performed a more convincing and precise estimation of the relationship between Arg188His and breast cancer by meta-analyzing the currently available evidence from literature. A total of 16 studies involving 18,341 cases and 19,028 controls (37,369 subjects) were identified for meta-analysis. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the coDominant Model, Dominant Model, and recessive Model. When all the studies were pooled into meta-analysis, there was no evidence of a significant association between Arg188His and breast cancer risk in any genetic Models. Notably, Arg188His tended to be related to breast cancer in a fixed-effects, Dominant Model (OR = 0.922, 95% CI: 0.870-0.978, P = 0.007); however, since there was a between-study heterogeneity (P (h) = 0.014), we assessed the association using a random-effects Model instead and no significance was observed (OR = 0.932, 95% CI: 0.852-1.020, P = 0.128). Subgroup analysis by ethnicity did not change the results. In summary, the present meta-analysis suggests that the XRCC2 Arg188His is not directly associated with breast cancer risk. However, considering that susceptibility is likely to be the result of a complex interplay between genetic variation and environmental factors, we cannot rule out the possibility of interactions between Arg188His and other variants. Further investigation on the influence of this SNP in modifying the relationship between environment exposures and breast cancer risk is still needed.

Lei Yang - One of the best experts on this subject based on the ideXlab platform.

  • Associations of Genetic Variations in ABCA1 and Lifestyle Factors with Coronary Artery Disease in a Southern Chinese Population with Dyslipidemia: A Nested Case-Control Study
    MDPI AG, 2019
    Co-Authors: Tian-yu Zhao, Song Lei, Liu Huang, Yi-nan Wang, Xiao-ni Wang, Ping-pu Zhou, Long Zhang, Lei Yang
    Abstract:

    Coronary artery disease has become a major health concern over the past several decades. We aimed to explore the association of single nucleotide polymorphisms (SNPs) in the ATP-binding cassette subfamily A member 1 (ABCA1) and lifestyle factors with coronary artery disease (CAD) in dyslipidemia. This nested case-control study included 173 patients with CAD and 500 matched control individuals (1:3, case: control) from a district in southern China. We collected medical reports, lifestyle details, and blood samples of individuals with dyslipidemia and used the polymerase chain reaction-ligase detection reaction method to genotype the SNPs. The CC genotype of the additive and recessive Models of rs4149339, together with regular intake of fried foods or dessert, increased the risk of CAD (adjusted odd ratio (OR) = 1.91, p = 0.030; adjusted OR = 1.97, p = 0.017; adjusted OR = 1.80, p = 0.002; adjusted OR = 1.98, p = 0.001). The AT + AA genotype of the Dominant Model of rs4743763 and moderate/heavy physical activity reduced the risk of CAD (adjusted OR = 0.66, p = 0.030; adjusted OR = 0.44, p = 0.001). The CT + CC genotype of the Dominant Model of rs2472386 reduced the risk of CAD only in males (adjusted OR = 0.36, p = 0.001). The interaction between rs4149339 and rs4743763 of ABCA1 and haplotype CTT (comprising rs4149339, rs4743763, and rs2472386) appeared to increase the risk of CAD (relative excess risk due to interaction (RERI) = 3.19, p = 0.045; OR = 1.49, p = 0.019). Polymorphisms of rs4149339, rs4743763 and rs2472386 in ABCA1 and three lifestyle factors (physical activity, fried food intake, and dessert intake) were associated with CAD in people with dyslipidemia in southern China. These results provide the theoretical basis for gene screening and the prevention of chronic cardiovascular diseases

  • association between polymorphisms of heat shock protein 70 genes and noise induced hearing loss a meta analysis
    PLOS ONE, 2017
    Co-Authors: Song Lei, Liu Huang, Yaqian Liu, Dahui Wang, Lei Yang
    Abstract:

    Background Recent studies have evaluated the associations between polymorphisms of the heat-shock protein 70 (HSP70) encoding genes and noise-induced hearing loss (NIHL). However, the conclusions of these studies are conflicting. The objective of this meta-analysis was to clarify the association between all known polymorphisms of HSP70 genetic loci and susceptibility to NIHL, based on existing reports. Methods We conducted a meta-analysis of the association between Hsp70 polymorphisms (rs1043618, rs1061581, rs2075800, rs2227956, and rs2763979) and NIHL risk in both Chinese and Caucasian males. All statistical analysis was done with was conducted using the “meta” package (version 4.6–0) of R version 3.3.2 and RStudio version 1.0.44. Online databases were searched for eligible case-control studies on February 13, 2017. The odds ratio (OR), 95% confidence interval (CI), and P value were calculated using Mantel-Haenszel statistics under a random- or fixed-effect Model. Results A total of five studies, reported via four articles from online databases, were included in our meta-analysis. For rs1061581 (from three studies), a significant association was detected in the allele Model, homozygote Model, and Dominant Model (G versus A: OR (95% CI) = 1.32(1.05–1.67), GG versus AA: OR (95% CI) = 1.93(1.1–3.36), GG + AG versus AA: OR (95% CI) = 1.45(1.05–2.02)), but not in the heterozygote Model or the recessive Model. For rs1043618 (from five studies), rs2075800 (from two studies), rs2227956 (from four studies), rs2763979 (from two studies), no significant association was found for any genetic Model. After subgroup analyses by ethnicity, significant associations were observed for the allele Model, heterozygote Model, and Dominant Model for rs1061581 and any genetic Model for rs2227956 in Caucasians. Conclusions The rs1043618, rs2075800, and rs2763979 polymorphisms were not found to be associated with susceptibility to NIHL; however, the rs1061581 and rs2227956 polymorphisms were significantly associated with NIHL in Caucasian males.