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基于下一代测序和基于序列特异性寡核苷酸探针的HLA-DRB1基因分型的一致性

Concordance of next generation sequence-based and sequence specific oligonucleotide probe-based HLA-DRB1 genotyping.

作者信息

Lane Julie A, Johnson Jameel R, Noble Janelle A

机构信息

Children's Hospital Oakland Research Institute, Oakland, CA, United States.

出版信息

Hum Immunol. 2015 Dec;76(12):939-44. doi: 10.1016/j.humimm.2015.07.235. Epub 2015 Aug 4.

Abstract

Next generation sequencing (NGS) of clonally amplified DNA, using Roche 454 technology, was used to genotype HLA-DRB1, DRB3, DRB4, and DRB5 loci (exon 2 only) from a set of 993 samples from newborns with maternally-reported African American ancestry. DRB1 exon 2 was genotyped previously on the same sample set using sequence-specific oligonucleotide probe (SSOP) technology. Comparison of the genotype calls from both methods indicated concordance of 92.3%. Some discordance was expected due to the higher resolution of NGS data, compared to SSOP data. This resulted from selection of the incorrect allele from the ambiguity string produced by SSOP genotyping. Of 76 discordant genotypes, only three were due to resolution of ambiguity with the NGS method. The low percent of changes due to the increased resolution of the NGS method instills confidence in the overall value of previous data genotyped with moderate resolution methods, i.e., the vast majority of alleles present in a population are those that are detectable at moderate resolution. The remaining 73 discordant genotypes resulted from preventable errors in sample handling, data interpretation, and data entry. These results underscore the potential for error that can result from factors such as low quality genomic DNA, manual data entry, and interpretation of marginal genotyping results. Optimization of genomic DNA quality, automation of genotyping steps wherever possible, and use of the highest resolution technology available can lead to dramatic improvements in HLA genotype data quality. NGS-based methodology generated data of superior quality and accuracy compared to the SSOP system.

摘要

利用罗氏454技术对克隆扩增的DNA进行下一代测序(NGS),以对993份有母亲报告为非裔美国人血统的新生儿样本进行HLA - DRB1、DRB3、DRB4和DRB5基因座(仅外显子2)的基因分型。先前已使用序列特异性寡核苷酸探针(SSOP)技术对同一组样本进行DRB1外显子2的基因分型。两种方法的基因分型结果比较显示一致性为92.3%。由于与SSOP数据相比,NGS数据具有更高的分辨率,因此预计会存在一些不一致性。这是由于从SSOP基因分型产生的模糊字符串中选择了错误的等位基因。在76个不一致的基因型中,只有3个是由于NGS方法解决了模糊性。由于NGS方法分辨率提高导致的变化百分比很低,这使人们对先前用中等分辨率方法进行基因分型的数据的整体价值充满信心,即群体中存在的绝大多数等位基因是那些在中等分辨率下可检测到的等位基因。其余73个不一致的基因型是由样本处理、数据解读和数据录入中的可预防错误导致的。这些结果强调了低质量基因组DNA、手动数据录入和边缘基因分型结果解读等因素可能导致的错误可能性。优化基因组DNA质量、尽可能实现基因分型步骤的自动化以及使用可用的最高分辨率技术可显著提高HLA基因分型数据质量。与SSOP系统相比,基于NGS的方法产生的数据质量和准确性更高。

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