HLA基因组数据的存储和利用——HLA分型的新方法。

Reviews in immunogenetics Pub Date : 2000-01-01
W Helmberg
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引用次数: 0

摘要

目前可用的基于dna的HLA分型分析可以提供有关被测样品序列基序的详细信息。然而,通过高分辨率序列特异性寡核苷酸探针(SSOP)分型或序列特异性引物(SSP)获得的信息以低分辨率血清学格式呈现仍然是一种常见的做法。不幸的是,在许多情况下,这种表示会导致有用数据的大量丢失。为这种DNA分型结果分配等位基因等同物的另一种方法是简单地存储观察到的分型模式,并在虚拟DNA分析(Virtual DNA Analysis, VDA)的帮助下利用这些信息。然后可以根据新定义的等位基因对存储的分型模式进行解释,假设分型试剂检测到的序列基序是已知的。而不是更新单个实验室的试剂特异性,这种更新应该在一个中央的、公开的序列数据库中进行。通过参考该数据库,HLA基因组数据可以在实验室之间存储和传输,而不会丢失信息。第13届国际组织相容性研讨会为开始建立整个人类MHC的公共数据库提供了一个理想的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Storage and utilization of HLA genomic data--new approaches to HLA typing.

Currently available DNA-based HLA typing assays can provide detailed information about sequence motifs of a tested sample. It is still a common practice, however, for information acquired by high-resolution sequence specific oligonucleotide probe (SSOP) typing or sequence specific priming (SSP) to be presented in a low-resolution serological format. Unfortunately, this representation can lead to significant loss of useful data in many cases. An alternative to assigning allele equivalents to suchDNA typing results is simply to store the observed typing pattern and utilize the information with the help of Virtual DNA Analysis (VDA). Interpretation of the stored typing patterns can then be updated based on newly defined alleles, assuming the sequence motifs detected by the typing reagents are known. Rather than updating reagent specificities in individual laboratories, such updates should be performed in a central, publicly available sequence database. By referring to this database, HLA genomic data can then be stored and transferred between laboratories without loss of information. The 13th International Histocompatibility Workshop offers an ideal opportunity to begin building this common database for the entire human MHC.

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