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MICA基因外显子2~4多态性与习惯性流产的关系
引用本文:陈永玲,梅冰,王昌富,邓明凤,袁琳. MICA基因外显子2~4多态性与习惯性流产的关系[J]. 分子诊断与治疗杂志, 2009, 1(2): 95-99
作者姓名:陈永玲  梅冰  王昌富  邓明凤  袁琳
作者单位:华中科技大学同济医学院附属荆州医院医学检验部,湖北,荆州,434020
摘    要:目的研究MICA基因外显子2~4多态性与习惯性流产(RSA)的关联。方法采用PCR-SSP方法分别对56例RSA患者和78例正常对照组的MICA基因外显子2~4的多态性进行分析。结果在RSA组中共检出8种等位基因,各等位基因及频率分别为:MICA*001(4.5%),MICA*00201/020(17.9%),MICA*004(8.0%),MICA*00801/02(30.4%),MICA*00901/02(9.8%),MICA*010(22.3%),MICA*01201/02(5.3%),MICA*018(1.8%)。其中MICA*00801/02为最常见等位基因,基因频率最高,占30.4%,MICA*018最低,频率为1.8%,在对照组中共检出9种等位基因,经统计分析,RSA组与正常对照组之间MICA基因外显子2~4各等位基因频率均无显著性差异。结论MICA基因外显子2~4多态性与RSA之间无相关性,但该基因外显子5多态性与RSA之间是否存在关联还有待于进一步研究。

关 键 词:PCR-SSP  MICA基因  多态性  习惯性流产

Relevance between genetic polymorphism of MICA and recurrent spontaneous abortion
CHENG Yongling,MEI Bing,WANG Changfu,DENG Mingfeng,YUAN Ling. Relevance between genetic polymorphism of MICA and recurrent spontaneous abortion[J]. Journal of Molecular Diagnosis and Therapy, 2009, 1(2): 95-99
Authors:CHENG Yongling  MEI Bing  WANG Changfu  DENG Mingfeng  YUAN Ling
Affiliation:g (Department of Laboratory Medicine, Affiliated Jingzhou Hospital, Tongji Medicine College, Huazhong Science and Technology University, Hubei, Jingzhou 434020, China)
Abstract:Objective To explore the relevance between polymorphism of MICA exon 2~4 and recurrent spontaneous abortion (RSA). Methods The genotypes of MICA exon 2~4 in 56 RSA patients and 78 healthy controls were determined by PCR-SSP methods. Results 8 alleles of MICA had been detected in RSA groups. The frequencies of different alleles were following respectively: MICA*001(4.5% ), MICA* 00201/020 (17.9%), MICA*004(8.0%), MICA*00801/02(30.4%), MICA*00901/02(9.8%), MICA*010(22.3%), MICA*01201/02 (5.3%), MICA*018 (1.8%). MICA*00801/02 was the dominant MICA allele, and MICA*018 was the rarest. 9 alleles of MICA had been detected in normal control groups. Allelic frequencies of MICA exon 2~4 in RSA patients were not obviously different from those in control groups. Conclusion The polymorphism of MICA exon 2~4 was not relevent with RSA.
Keywords:PCR-SSP  MICA  Polymorphism  RSA
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