Literature DB >> 34369612

Validation of the Microreader 28A ID System: A 6-dye multiplex amplification assay for forensic application.

Lu Yin1, Jing Zhu2, Shengqiu Qu1, Yifan Li3, Yuqing Liu4, Zailiang Yu5, Fan Yang5, Ranran Zhang1, Jiaming Xue1, Sicheng Huang6, Weibo Liang1.   

Abstract

The Microreader 28A ID System is a new 28-plex genotyping system with 6-dye multiplex amplification, which allows the simultaneous amplification of all 20 Combined DNA Index System (CODIS) core loci (CSF1PO, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D21S11, FGA, TH01, TPOX, vWA, D1S1656, D2S441, D2S1338, D10S1248, D12S391, D19S433, D22S1045), plus five extended STRs loci (D6S1043, Penta D, Penta E, DYS391, SE33), 2 Y-Indels (Rs2032678, Rs771783753), and the amelogenin loci. This system can be used for forensic analyses, such as personal identification, kinship testing, scientific research, database applications, and other aspects of human genetic identification. The validation of the Microreader 28A ID System followed the "Validation Guidelines for DNA Analysis Methods (2016)" described by the Scientific Working Group on DNA Analysis Methods and the regulations published by the China Ministry of Public Security. Our tests included PCR-based studies, sensitivity study, precision and accuracy evaluation, stutter percentage and heterozygous peak height ratio, inhibitor tests, species specificity, and population studies. The validation results suggest that the Microreader 28A ID system is a robust and reliable amplification kit for personal identification, kinship testing, and forensic database applications.
© 2021 Wiley-VCH GmbH.

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Keywords:  6-Dye multiplex PCR; CE; Forensic science; Microreader 28A ID System; Validation

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Year:  2021        PMID: 34369612     DOI: 10.1002/elps.202100110

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  1 in total

1.  Developmental Validation of the Novel Five-Dye-Labeled Multiplex Autosomal STR Panel and Its Forensic Efficiency Evaluation.

Authors:  Shimei Huang; Xiaoye Jin; Hongling Zhang; Haiying Jin; Zheng Ren; Qiyan Wang; Yubo Liu; Jingyan Ji; Meiqing Yang; Han Zhang; Xingkai Zheng; Danlu Song; Bingjie Zheng; Jiang Huang
Journal:  Front Genet       Date:  2022-05-31       Impact factor: 4.772

  1 in total

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