Developmental validation of STRmix™ NGS, a probabilistic genotyping tool for the interpretation of autosomal STRs from forensic profiles generated using NGS

Kevin Cheng, Jo-Anne Bright, Hannah Kelly, Yao Yuan Liu, Meng Han Lin, Maarten Kruijver, Duncan Taylor, John Buckleton

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

We describe the developmental validation of the probabilistic genotyping software – STRmix™ NGS – developed for the interpretation of forensic DNA profiles containing autosomal STRs generated using next generation sequencing (NGS) also known as massively parallel sequencing (MPS) technologies. Developmental validation was carried out in accordance with the Scientific Working Group on DNA Analysis Methods (SWGDAM) Guidelines for the Validation of Probabilistic Genotyping Systems and the International Society for Forensic Genetics (ISFG) recommendations and included sensitivity and specificity testing, accuracy, precision, and the interpretation of case-types samples. The results of developmental validation demonstrate the appropriateness of the software for the interpretation of profiles developed using NGS technology.

Original languageEnglish
Article number102804
Number of pages16
JournalForensic Science International: Genetics
Volume62
Early online date8 Nov 2022
DOIs
Publication statusPublished - Jan 2023
Externally publishedYes

Keywords

  • Developmental validation
  • MPS
  • NGS
  • Probabilistic genotyping
  • STRs

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