کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6462689 | 1422147 | 2017 | 9 صفحه PDF | دانلود رایگان |
- The Precision ID GlobalFiler⢠NGS STR Panel and Ion PGM⢠System can generate concordant result with CE-based methods.
- Single source full profiles could be obtained using as little as 100Â pg of input DNA.
- Partial STR genotypes of the minor contributor could be detected up to 19:1 mixture.
- 106 unrelated Han individuals were sequenced to perform genetic analyses of allelic diversity at MPS level.
Massively parallel sequencing (MPS) technologies have proved capable of sequencing the majority of the key forensic STR markers. By MPS, not only the repeat-length size but also sequence variations could be detected. Recently, Thermo Fisher Scientific has designed an advanced MPS 32-plex panel, named the Precision ID GlobalFiler⢠NGS STR Panel, where the primer set has been designed specifically for the purpose of MPS technologies and the data analysis are supported by a new version HID STR Genotyper Plugin (V4.0). In this study, a series of experiments that evaluated concordance, reliability, sensitivity of detection, mixture analysis, and the ability to analyze case-type and challenged samples were conducted. In addition, 106 unrelated Han individuals were sequenced to perform genetic analyses of allelic diversity. As expected, MPS detected broader allele variations and gained higher power of discrimination and exclusion rate. MPS results were found to be concordant with current capillary electrophoresis methods, and single source complete profiles could be obtained stably using as little as 100 pg of input DNA. Moreover, this MPS panel could be adapted to case-type samples and partial STR genotypes of the minor contributor could be detected up to 19:1 mixture. Aforementioned results indicate that the Precision ID GlobalFiler⢠NGS STR Panel is reliable, robust and reproducible and have the potential to be used as a tool for human forensics.
Journal: Forensic Science International: Genetics - Volume 31, November 2017, Pages 126-134