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Massively parallel sequencing of short tandem repeats-Population data and mixture analysis results for the PowerSeq (TM) system

机译:短串联重复序列的大规模并行测序-PowerSeq(TM)系统的种群数据和混合物分析结果

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摘要

Current forensic DNA analysis predominantly involves identification of human donors by analysis of short tandem repeats (STRs) using Capillary Electrophoresis (CE). Recent developments in Massively Parallel Sequencing (MPS) technologies offer new possibilities in analysis of STRs since they might overcome some of the limitations of CE analysis. In this study 17 STRs and Amelogenin were sequenced in high coverage using a prototype version of the Promega PowerSeq (TM) system for 297 population samples from the Netherlands, Nepal, Bhutan and Central African Pygmies. In addition, 45 two-person mixtures with different minor contributions down to 1% were analysed to investigate the performance of this system for mixed samples. Regarding fragment length, complete concordance between the MPS and CE-based data was found, marking the reliability of MPS PowerSeq (TM) system. As expected, MPS presented a broader allele range and higher power of discrimination and exclusion rate. The high coverage sequencing data were used to determine stutter characteristics for all loci and stutter ratios were compared to CE data. The separation of alleles with the same length but exhibiting different stutter ratios lowers the overall variation in stutter ratio and helps in differentiation of stutters from genuine alleles in mixed samples. All alleles of the minor contributors were detected in the sequence reads even for the 1% contributions, but analysis of mixtures below 5% without prior information of the mixture ratio is complicated by PCR and sequencing artefacts. (C) 2016 The Author(s). Published by Elsevier Ireland Ltd.
机译:当前的法医DNA分析主要涉及通过使用毛细管电泳(CE)分析短串联重复序列(STR)来鉴定人类供体。大规模并行测序(MPS)技术的最新发展为STR分析提供了新的可能性,因为它们可以克服CE分析的某些局限性。在这项研究中,使用Promega PowerSeq(TM)系统的原型版本对来自荷兰,尼泊尔,不丹和中非P格米人的297个人口样本进行了高覆盖率的17个STR和Amelogenin测序。此外,还分析了45种两人混合的混合物,其次要贡献低至1%,以研究该系统对混合样品的性能。关于片段长度,发现MPS和基于CE的数据之间完全一致,标志着MPS PowerSeq(TM)系统的可靠性。不出所料,MPS的等位基因范围更广,判别和排除率更高。高覆盖率测序数据用于确定所有基因座的口吃特性,并将口吃比率与CE数据进行比较。相同长度但表现出不同口吃比率的等位基因的分离降低了口吃比率的总体变化,并有助于区分混合样品中口吃与真正等位基因的口吃。即使贡献度为1%,也可以在序列读数中检测到所有次要贡献者的等位基因,但PCR和测序伪像会导致对5%以下混合物的分析没有先验的混合比信息而变得很复杂。 (C)2016作者。由Elsevier Ireland Ltd.发布

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