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测量 HLA 分型方法的歧义性。

Measuring ambiguity in HLA typing methods.

机构信息

Bioinformatics Research, National Marrow Donor Program, Minneapolis, Minnesota, United States of America.

出版信息

PLoS One. 2012;7(8):e43585. doi: 10.1371/journal.pone.0043585. Epub 2012 Aug 29.

Abstract

In hematopoietic stem cell transplantation, donor selection is based primarily on matching donor and patient HLA genes. These genes are highly polymorphic and their typing can result in exact allele assignment at each gene (the resolution at which patients and donors are matched), but it can also result in a set of ambiguous assignments, depending on the typing methodology used. To facilitate rapid identification of matched donors, registries employ statistical algorithms to infer HLA alleles from ambiguous genotypes. Linkage disequilibrium information encapsulated in haplotype frequencies is used to facilitate prediction of the most likely haplotype assignment. An HLA typing with less ambiguity produces fewer high-probability haplotypes and a more reliable prediction. We estimated ambiguity for several HLA typing methods across four continental populations using an information theory-based measure, Shannon's entropy. We used allele and haplotype frequencies to calculate entropy for different sets of 1,000 subjects with simulated HLA typing. Using allele frequencies we calculated an average entropy in Caucasians of 1.65 for serology, 1.06 for allele family level, 0.49 for a 2002-era SSO kit, and 0.076 for single-pass SBT. When using haplotype frequencies in entropy calculations, we found average entropies of 0.72 for serology, 0.73 for allele family level, 0.05 for SSO, and 0.002 for single-pass SBT. Application of haplotype frequencies further reduces HLA typing ambiguity. We also estimated expected confirmatory typing mismatch rates for simulated subjects. In a hypothetical registry with all donors typed using the same method, the entropy values based on haplotype frequencies correspond to confirmatory typing mismatch rates of 1.31% for SSO versus only 0.08% for SBT. Intermediate-resolution single-pass SBT contains the least ambiguity of the methods we evaluated and therefore the most certainty in allele prediction. The presented measure objectively evaluates HLA typing methods and can help define acceptable HLA typing for donor recruitment.

摘要

在造血干细胞移植中,供者选择主要基于供者和患者 HLA 基因的匹配。这些基因高度多态性,其分型可以在每个基因(患者和供者匹配的分辨率)上精确分配等位基因,但也可能导致一组模糊的分配,这取决于使用的分型方法。为了方便快速识别匹配的供者,登记处使用统计算法根据模糊基因型推断 HLA 等位基因。单倍型频率中包含的连锁不平衡信息用于促进最可能的单倍型分配的预测。具有较少模糊性的 HLA 分型产生较少的高概率单倍型和更可靠的预测。我们使用基于信息论的度量标准——香农熵,估计了四个大陆人群中几种 HLA 分型方法的模糊性。我们使用等位基因和单倍型频率来计算不同组 1000 个模拟 HLA 分型的个体的熵。使用等位基因频率,我们计算出白种人群中血清学的平均熵为 1.65,等位基因家族水平为 1.06,2002 年时代的 SSO 试剂盒为 0.49,单步 SBT 为 0.076。当我们在熵计算中使用单倍型频率时,我们发现血清学的平均熵为 0.72,等位基因家族水平为 0.73,SSO 为 0.05,单步 SBT 为 0.002。应用单倍型频率进一步降低了 HLA 分型的模糊性。我们还估计了模拟个体的预期确认性分型不匹配率。在一个所有供者都使用相同方法进行分型的假想登记处,基于单倍型频率的熵值对应于 SSO 的确认性分型不匹配率为 1.31%,而单步 SBT 仅为 0.08%。中等分辨率的单步 SBT 包含了我们评估的方法中最少的模糊性,因此在等位基因预测中最有把握。所提出的方法客观地评估了 HLA 分型方法,并有助于确定可接受的供者招募 HLA 分型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1c/3430707/2885d82cbf4e/pone.0043585.g001.jpg

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