The relationship between leukemia and TP53 gene codon Arg72Pro polymorphism: analysis in a multi-ethnic population

The relationship between leukemia and TP53 gene codon Arg72Pro polymorphism: analysis in a multi-ethnic population
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DOI:
10.2217/fon-2019-0792
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发表时间:
2020-05-01
期刊:
影响因子:
3.3
通讯作者:
Sun, Kai
Sun, Kai
中科院分区:
医学4区
文献类型:
--
作者:
Drokow, Emmanuel Kwateng;Chen, Yuqing;Sun, Kai

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目的:许多研究分析了TP53的Arg72Pro多态性与白血病的关系;然而,调查结果仍然不确定。因此,我们使用用于全基因组关联研究荟萃分析的专用软件在多种族群体中进行了更新的荟萃分析。材料和方法:检索截至 2018 年 10 月的 PubMed、EMBASE 和 Google Scholar。使用比值比 (OR) 和相应的 95% CI 来评估关联强度。结果:这项荟萃分析包括 16 项研究,涉及 2337 例病例和 9494 例对照。在总体人群中,在两种遗传模型中发现TP53的Arg72Pro多态性与白血病易感性之间存在显着关系(隐性模型:OR = 1.276,95% CI = 1.102-1.476;p = 0.01;超显性模型:OR = 0.891,95% CI = 0.802-0.988;p = 0.03)。在针对种族的分层研究中,发现五个种族之间存在显着关联,包括中国人、美国人、非洲人、日本人和印度人。结论:我们证明,在隐性和超显性遗传模型中,白血病风险与 TP53 基因密码子 Arg72Pro 多态性之间存在关联。此外,我们的研究结果表明,TP53 Arg72Pro 多态性可能影响不同人群的白血病发展。
Aim: Many studies have analyzed the relationship between Arg72Pro polymorphism of TP53 and leukemia; nevertheless, the findings continue to be indeterminate. We, therefore, performed an updated meta-analysis in multi-ethnic groups using specialized software for genome-wide association studies meta-analysis. Materials & methods: PubMed, EMBASE and Google Scholar were searched up to October 2018. An odds ratio (OR) with the corresponding 95% CI was used to evaluate the strength in the association. Results: This meta-analysis included 16 studies with 2337 cases and 9494 controls. In the overall population, significant relationship between Arg72Pro polymorphism of TP53 and leukemia susceptibility was found in two genetic models (recessive model: OR = 1.276, 95% CI = 1.102-1.476; p = 0.01; overdominant model: OR = 0.891, 95% CI = 0.802-0.988; p = 0.03). In stratified studies with ethnicity, a significant association was found in five ethnic groups, including Chinese, Americans, Africans, Japanese and Indians. Conclusion: We demonstrated that an association exist between leukemia risk and TP53 gene codon Arg72Pro polymorphism in the recessive and overdominant genetic models. Also, our findings show that the TP53 Arg72Pro polymorphism may influence leukemia development in different populations.