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孟加拉人群中HLA - A、- B和 - DRB1等位基因频率

HLA-A, -B and -DRB1 allele frequencies in the Bangladeshi population.

作者信息

Ali Md Eunus, Ahmed M U, Alam S, Rahman Md Hafizur

机构信息

Department of Forensic Medicine, National Forensic DNA Profiling Laboratory, Dhaka Medical College, Dhaka, Bangladesh.

出版信息

Tissue Antigens. 2008 Aug;72(2):115-9. doi: 10.1111/j.1399-0039.2008.01079.x.

Abstract

Population genetic studies have become an invaluable tool because of the extreme polymorphism found at some of the loci of the human leukocyte antigen (HLA) system. In this study, we are reporting for the first time the genetic polymorphism of 141 healthy unrelated Bangladeshi Bangalees living in central region of Dhaka. We studied the HLA-A, -B and -DRB1 loci using polymerase chain reaction with sequence-specific primers. The allelic frequencies, two and three locus haplotype frequencies were statistically analyzed. A total of 16 HLA-A alleles, 26 HLA-B alleles and 14 HLA-DRB1 alleles were detected. A33-B44 (8.15%) was the most common two loci class 1 haplotype, whereas A33-B44-DRB107 (6.38%) was the most frequent three loci haplotype. The most common HLA-A, HLA-B and HLA-DRB1 alleles were A33 (17.02%), B15 (19.5%) and DRB115 (29.07%), respectively. Construction of phylogenetic tree using average linkage between groups and correspondence analysis showed close associations with Indian non-tribal random Dravidians, north Indian Hindus and some relations with Mongolian and Pakistani populations. We believe this data will provide useful information for bone marrow registry, legal medicine, disease association and anthropological studies.

摘要

由于人类白细胞抗原(HLA)系统某些位点存在极端多态性,群体遗传学研究已成为一种宝贵工具。在本研究中,我们首次报告了居住在达卡中部地区的141名健康、无亲缘关系的孟加拉族孟加拉人的基因多态性。我们使用序列特异性引物聚合酶链反应研究了HLA - A、- B和 - DRB1位点。对等位基因频率、两位点和三位点单倍型频率进行了统计分析。共检测到16个HLA - A等位基因、26个HLA - B等位基因和14个HLA - DRB1等位基因。A33 - B44(8.15%)是最常见的两位点1类单倍型,而A33 - B44 - DRB107(6.38%)是最常见的三位点单倍型。最常见的HLA - A、HLA - B和HLA - DRB1等位基因分别是A33(17.02%)、B15(19.5%)和DRB115(29.07%)。使用组间平均连锁法构建系统发育树和对应分析表明,与印度非部落随机德拉威人、北印度印度教徒密切相关,与蒙古人和巴基斯坦人群有一定关系。我们相信这些数据将为骨髓登记、法医学、疾病关联和人类学研究提供有用信息。

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