四川骨髓库四川籍汉族人群MICA等位基因分布

Distribution of MICA diversity in Sichuan Han population from Chinese Marrow Donor Program

目的研究四川骨髓库四川籍汉族志愿者MICA等位基因分布特点。方法采用PCR-SBT和PCR-SSP方法,对四川骨髓库119名无关汉族志愿者标本作MICA等位基因分型和MICA基因缺失型分析。结果共检测到13种已知MICA等位基因和2种新MICA等位基因,频率依次为MICA*010(25.2%)、MICA*008:01/04(23.1%)、MICA*002:01(16.0%)、MICA*019(10.5%)、MICA*012:01(8.8%)、MICA*049(4.2%)和MICA*009:01(3.8%),这7种等位基因占所有MICA等位基因的91.6%。与浙江汉族相比,仅MICA*027分布的差异有统计学意义(P<0.05);与内蒙古汉族、韩国人、美国白人及非洲裔美国人相比,MICA*004和MICA*019分布的差异有统计学意义(P<0.05)。所发现的3例2种MICA新等位基因,已被世界卫生组织HLA因子命名委员会分别命名为MICA*064N和MICA*010:02。连锁不平衡分析发现,四川骨髓库汉族人群中B*1301-MICA*045,B*4801-MICA*Del紧密连锁;最常见的4位点单体型是A*0207-B*4601-MICA*010-DRB1*0901。结论四川籍汉族人群MICA等位基因表现出较丰富的多态性,具有其自身的特点。

Objective To investigate the allele distribution of MICA in Sichuan Han population from Sichuan branch of Chinese Marrow Donor Program（CMDP）.Methods A total of 119 unrelated samples were randomly selected from Sichuan Han individuals registered with the CMDP.PCR-SBT and PCR-SSP were applied for typing MICA gene.Results 13 different MICA alleles and 2 new alleles were identified,including MICA＊010（25.2%）,MICA＊008：01/04（23.1%）,MICA＊002：01（16.0%）,MICA＊019（10.5%）,MICA＊012：01（8.8%）,MICA＊049（4.2%）,and MICA＊009：01（3.8%）,all of which comprised of 91.6% of all MICA alleles.Compared with Zhejiang Han population,only the distribution of MICA＊027 was significantly different（P0.05）.Whereas,compared with Sichuan Han population,the distributions of MICA＊004 and MICA＊019 in Inner Mongolia Han,Koreans,North American Caucasians and African American populations were significantly different（P0.05）.In addition,two new alleles,which were found in 3 samples,were officially named as MICA＊064N and MICA＊010：02 by the WHO HLA Nomenclature Committee in January 2011.Strong linkage disequilibrium between HLA-B and MICA alleles was observed： B＊1301-MICA＊045 and B＊4801-MICA＊Del.The most common haplotypes was A＊0207-B＊4601-MICA＊010-DRB1＊0901 among HLA-A/B/MICA/DRB1 loci.Conclusion Our study demonstrates the high diversity of MICA in Sichuan Han population,and the distribution of MICA alleles exhibits unique characteristics.