Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, PR China.
Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, PR China.
Forensic Sci Int Genet. 2021 May;52:102490. doi: 10.1016/j.fsigen.2021.102490. Epub 2021 Mar 4.
Massively parallel sequencing (MPS), or next generation sequencing (NGS), is a promising methodology for the detection of short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs) in forensic genetics. Here, the prototype SifaMPS Panel is designed to simultaneously target 87 STRs and 294 SNPs with forensic interest in a single multiplex in conjunction with the TruSeq™ Custom Amplicon workflow and MiSeq FGx™ System. Two in-house python scripts are adopted for the fastq-to-genotype interpretation of MPS data concerning STR and SNP, respectively. In the present study, by sequencing 50 Chinese Hans and many other DNA samples involved in validation studies, system parameters including the depth of coverage (DoC), heterozygote balance (Hb) and sequence coverage ratios (SCRs), as well as different forensic parameters of STRs and SNPs in a population study, were calculated to evaluate the overall performance of this new panel and its practicality in forensic application. In general, except for two STRs (DYS505 and DYS449) and one SNP (rs4288409) that performed poorly, the other 85 STRs and 293 SNPs in our panel had good performance that could strengthen efficiency for human identification and paternity testing. In addition, discordant STR genotype results between those generated from capillary electrophoresis (CE) and from the MPS platform were clearly illustrated, and these results could be a useful reference for applying these particular non-CODIS STRs in forensic practice.
高通量测序(MPS)或下一代测序(NGS)是一种有前途的方法,可用于检测法医遗传学中的短串联重复序列(STR)和单核苷酸多态性(SNP)。在这里,设计了 SifaMPS 面板原型,以与 TruSeq™Custom Amplicon 工作流程和 MiSeq FGx™System 一起,在单个多重反应中同时针对 87 个 STR 和 294 个具有法医意义的 SNP。采用两个内部编写的 Python 脚本分别用于快速对 MPS 数据进行 STR 和 SNP 的基因型解释。在本研究中,通过对 50 个中国汉族和许多其他用于验证研究的 DNA 样本进行测序,计算了系统参数,包括覆盖率(DoC)、杂合子平衡(Hb)和序列覆盖率比(SCR),以及人群研究中 STR 和 SNP 的不同法医参数,以评估这个新面板的整体性能及其在法医应用中的实用性。一般来说,除了两个 STR(DYS505 和 DYS449)和一个 SNP(rs4288409)表现不佳外,我们面板中的其他 85 个 STR 和 293 个 SNP 表现良好,这可以增强人类识别和亲子鉴定的效率。此外,还清楚地说明了毛细管电泳(CE)和 MPS 平台产生的 STR 基因型结果之间的不一致,这些结果可以为在法医实践中应用这些特定的非 CODIS STR 提供有用的参考。