A meta-analysis: Is there any association between MiR-608 rs4919510 polymorphism and breast cancer risks?
A meta-analysis: Is there any association between MiR-608 rs4919510 polymorphism and breast cancer risks?
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荟萃分析:MiR-608 RS4919510多态性和乳腺癌风险之间是否有任何关联?
DOI:
10.1371/journal.pone.0183012
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发表时间:
2017
期刊:
影响因子:
3.7
通讯作者:
Gao J
中科院分区:
文献类型:
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作者:
Wang J;Kong X;Xing Z;Wang X;Zhai J;Fang Y;Gao J
To combine the data from previously conducted studies about the associations between miR-608 rs4919510 polymorphism (C>G) and breast cancer risks. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a systematic review of the related literatures searched from PubMed, Embase, Cochrane Library, Web of Science, and China National Knowledge Internet (CNKI) (time: ~ December 2016). Using DerSimonian-Laird random-effects models [Pooling Model: Mantel Haenszel (MH)], odd ratios (ORs) with 95% confidence intervals (95% CIs) were estimated in the allele model, homozygote model, heterozygote model, dominant model and recessive model. Heterogeneity was analyzed using Labbr plots and I2 statistic. Publication bias was analyzed using contour-enhanced funnel plots. We included 5 eligible studies with 7948 patients. The ORs and their 95% CIs in the 5 genetic models mentioned above were 1.009 (95% CI: 0.922, 1.104; p = 0.847), 1.098 (95% CI: 0.954, 1.264; p = 0.194), 1.076 (95% CI: 0.956, 1.211; p = 0.227), 1.043 (95% CI: 0.880, 1.236; p = 0.628), 1.007 (95% CI: 0.906, 1.118; p = 0.899), respectively. In the present meta-analysis, no relationships between miR-608 rs4919510 polymorphism (C>G) and the risk of breast cancer were found. More studies are warranted to further validate the conclusion.
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影响因子:
4.6
作者:
Hu Y;Yu CY;Wang JL;Guan J;Chen HY;Fang JY
通讯作者:
Fang JY
影响因子:
3.7
作者:
Ryan BM;McClary AC;Valeri N;Robinson D;Paone A;Bowman ED;Robles AI;Croce C;Harris CC
通讯作者:
Harris CC
影响因子:
3.7
作者:
Huang AJ;Yu KD;Li J;Fan L;Shao ZM
通讯作者:
Shao ZM
影响因子:
2.2
作者:
DerSimonian R;Laird N
通讯作者:
Laird N
DOI:
10.1038/nrg3471
发表时间:
2013-08
期刊:
Nature reviews. Genetics
影响因子:
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作者:
通讯作者:
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