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对四个群体中的 25 个常染色体 STR 进行包括 SE33 在内的大规模平行测序,用于法医应用。

Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications.

机构信息

Department of Forensic Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.

Brain Korea 21 PLUS Project for Medical Science, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.

出版信息

Sci Rep. 2021 Feb 25;11(1):4701. doi: 10.1038/s41598-021-82814-z.

DOI:10.1038/s41598-021-82814-z
PMID:33633141
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7907369/
Abstract

The introduction of massively parallel sequencing (MPS) in forensic investigation enables sequence-based large-scale multiplexing beyond size-based analysis using capillary electrophoresis (CE). For the practical application of MPS to forensic casework, many population studies have provided sequence data for autosomal short tandem repeats (STRs). However, SE33, a highly polymorphic STR marker, has little sequence-based data because of difficulties in analysis. In this study, 25 autosomal STRs were analyzed, including SE33, using an in-house MPS panel for 350 samples from four populations (African-American, Caucasian, Hispanic, and Korean). The barcoded MPS library was generated using a two-step PCR method and sequenced using a MiSeq System. As a result, 99.88% genotype concordance was obtained between length- and sequence-based analyses. In SE33, the most discordances (eight samples, 0.08%) were observed because of the 4 bp deletion between the CE and MPS primer binding sites. Compared with the length-based CE method, the number of alleles increased from 332 to 725 (2.18-fold) for 25 autosomal STRs in the sequence-based MPS method. Notably, additional 129 unique alleles, a 4.15-fold increase, were detected in SE33 by identifying sequence variations. This population data set provides sequence variations and sequence-based allele frequencies for 25 autosomal STRs.

摘要

大规模平行测序(MPS)在法医调查中的引入使基于序列的大规模多重分析成为可能,超越了基于毛细管电泳(CE)的大小分析。为了将 MPS 实际应用于法医案例工作,许多群体研究已经提供了用于常染色体短串联重复序列(STRs)的序列数据。然而,由于分析困难,SE33 这个高度多态性的 STR 标记几乎没有基于序列的数据。在这项研究中,使用内部 MPS 面板分析了包括 SE33 在内的 25 个常染色体 STR,该面板对来自四个群体(非裔美国人、白种人、西班牙裔和韩国人)的 350 个样本进行了分析。使用两步 PCR 方法生成带条码的 MPS 文库,并使用 MiSeq 系统进行测序。结果,长度和基于序列的分析之间获得了 99.88%的基因型一致性。在 SE33 中,由于 CE 和 MPS 引物结合位点之间的 4 bp 缺失,观察到最多的不匹配(8 个样本,0.08%)。与基于长度的 CE 方法相比,基于序列的 MPS 方法中 25 个常染色体 STR 的等位基因数量从 332 增加到 725(增加 2.18 倍)。值得注意的是,通过识别序列变异,在 SE33 中检测到了额外的 129 个独特等位基因,增加了 4.15 倍。该群体数据集提供了 25 个常染色体 STR 的序列变异和基于序列的等位基因频率。

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