广州地区老年汉族人群CYP2C19基因多态性分布及不同人群间的比较研究

发布时间：2018-05-09 11:17

本文选题：CYPC + 基因多态性　；参考：《中山大学学报(医学科学版)》2017年02期

【摘要】：【目的】探讨广州地区老年汉族人群CYP2C19基因的多态性,并比较在不同人群之间分布的差异,为老年人合理用药提供依据。【方法】利用DNA微阵列芯片法检测CYP2C19基因多态性,同时比较不同地区汉族人群、各民族和不同种族之间CYP2C19基因多态性分布的差异。【结果】本研究共纳入2 312例样本。CYP2C19*1、CYP2C19*2和CYP2C19*3 3种等位基因的频率分别为64.27%、30.75%和4.98%。根据基因型判断,快代谢型(*1/*1)占41.44%(n=958),中代谢型(*1/*2、*1/*3)占46.67%(n=1 056),而慢代谢型(*2/*2、*2/*3和*3/*3)占12.89%(n=298)。我国不同地区汉族人群快代谢和中代谢比例及不同民族之间快中慢代谢人群比例的差异有统计学意义。亚洲人群与白色人种(P0.01)及黑色人种(P0.01)快中慢代谢人群比例的差异有统计学意义。【结论】我国不同地区汉族人群、各民族和不同种族间CYP2C19基因多态性的分布有差异,广州地区老年汉族人群以中快代谢型为主,对老年人合理用药有一定指导作用。
[Abstract]:[objective] to investigate the polymorphism of CYP2C19 gene in the elderly Han population in Guangzhou, and to compare the distribution of CYP2C19 gene between different populations. [methods] DNA microarray method was used to detect the polymorphism of CYP2C19 gene in the elderly. At the same time, the distribution of CYP2C19 gene polymorphism was compared among Han population, ethnic group and ethnic group. [results] the frequencies of CYP2C191CYP2C19-2 and CYP2C19*3 alleles were 64.270.75% and 4.98%, respectively. According to the genotypes, the fast metabolic type (1 / 1 / 1) accounted for 41.44 / 958, the middle metabolic type (1 / 1 / 2 / 1 / 1 / 3) accounted for 46.67%(n=1 056 / 1, while the slow metabolic type (2 / 2 / 2 / 2 / 3 and 3 / 3) accounted for 12.898n298n. There were significant differences in the proportion of fast metabolism and middle metabolism and the proportion of fast, medium and slow metabolism among different ethnic groups in different regions of China. There were significant differences in the proportion of CYP2C19 gene polymorphism between Asian population and white population (P 0.01) and black race (P 0.01). [conclusion] the distribution of CYP2C19 gene polymorphism in different regions of China is different among Han nationality and ethnic group. The main type of metabolism in Guangzhou is medium-fast metabolism, which can guide the elderly to use drugs reasonably.
【作者单位】：广州市第一人民医院神经科;广州市第一人民医院检验科;
【基金】：广东省自然科学基金(2014A030310093) 广州市科技计划项目(2012J5100039) 广东省医学科学技术研究基金(B2014339)
【分类号】：R592

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