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探索使用奥地利国家 DNA 数据库作为范例的法医 DNA 情报数据库中的 STR 测序。

Exploring STR sequencing for forensic DNA intelligence databasing using the Austrian National DNA Database as an example.

机构信息

Institute of Legal Medicine, Medical University of Innsbruck, Müllerstrasse 44, 6020, Innsbruck, Austria.

Forensic Science Program, The Pennsylvania State University, State College, PA, USA.

出版信息

Int J Legal Med. 2021 Nov;135(6):2235-2246. doi: 10.1007/s00414-021-02685-x. Epub 2021 Aug 26.

Abstract

Here, we present the results from a population study that evaluated the performance of massively parallel sequencing (MPS) of short tandem repeats (STRs) with a particular focus on DNA intelligence databasing purposes. To meet this objective, 247 randomly selected reference samples, earlier being processed with conventional capillary electrophoretic (CE) STR sizing from the Austrian National DNA Database, were reanalyzed with the PowerSeq 46Y kit (Promega). This sample set provides MPS-based population data valid for the Austrian population to increase the body of sequence-based STR variation. The study addressed forensically relevant parameters, such as concordance and backward compatibility to extant amplicon-based genotypes, sequence-based stutter ratios, and relative marker performance. Of the 22 autosomal STR loci included in the PowerSeq 46GY panel, 99.98% of the allele calls were concordant between MPS and CE. Moreover, 25 new sequence variants from 15 markers were found in the Austrian dataset that are yet undescribed in the STRSeq online catalogue and were submitted for inclusion. Despite the high degree of concordance between MPS and CE derived genotypes, our results demonstrate the need for a harmonized allele nomenclature system that is equally applicable to both technologies, but at the same time can take advantage of the increased information content of MPS. This appears to be particularly important with regard to database applications in order to prevent false exclusions due to varying allele naming based on different analysis platforms and ensures backward compatibility.

摘要

本研究通过对大量短串联重复序列(STR)的平行测序(MPS)进行人群研究,旨在评估其在 DNA 智能数据库建立方面的性能。为了实现这一目标,我们对 247 个随机选择的参考样本进行了重新分析,这些样本之前已通过常规毛细管电泳(CE)STR 大小分析从奥地利国家 DNA 数据库中获得。该样本集提供了基于 MPS 的奥地利人群群体数据,可增加基于序列的 STR 变异体数量。该研究涉及法医学相关参数,如一致性和与现有基于扩增子的基因型的向后兼容性、基于序列的拖尾比以及相对标记性能。在 PowerSeq 46GY 面板中包含的 22 个常染色体 STR 基因座中,MPS 和 CE 之间的等位基因调用一致性为 99.98%。此外,在奥地利数据集还发现了 15 个标记中的 25 个新序列变异体,这些变异体尚未在 STRSeq 在线目录中描述,并已提交收录。尽管 MPS 和 CE 衍生基因型之间具有高度一致性,但我们的结果表明需要一个统一的等位基因命名系统,该系统既适用于两种技术,同时又能充分利用 MPS 提供的更多信息内容。这在数据库应用中尤为重要,以防止因基于不同分析平台的不同等位基因命名而导致错误排除,并确保向后兼容性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4d7/8523457/830476d1195d/414_2021_2685_Fig1_HTML.jpg

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