A description of the likelihood ratios in the probabilistic genotyping software STRmix™

• NCJ Number: 305737
• Journal: WIREs Forensic Science Volume: 2 Issue: 6 Dated: November 2020
• Date Published: October 2020
• Author(s): Hannah Kelly; Jo-Anne Bright; Michael D. Coble; John S. Buckleton
• Length: 13 pages
• Grant Number(s): 2011-DN-BX-K541
• Agencies: NIJ-Sponsored
• Sponsoring Agency: National Institute of Justice (NIJ)
• Corporate Author: University of Washington
• Publication Format: Article
• Publication Type: Research (Applied/Empirical)
• Country: United States of America

Annotation

This article describes the likelihood ratios (LRs) in the probabilistic genotyping software STRmix.

 

Abstract

Probabilistic methods of DNA profile interpretation are being adopted by forensic laboratories worldwide. One commonality to all probabilistic genotyping software is an assignment of the strength of evidence using the likelihood ratio (LR).  The probabilistic genotyping software STRmix reports several LRs that differ based on the propositions considered. Within this paper, the authors describe the different LRs assigned in a STRmix software report. (Publisher abstract provided)