Internal Validation of STRmix (TM) - A Multi Laboratory Response to PCAST

• NCJ Number: 253140
• Journal: Forensic Science International: Genetics Volume: 34 Dated: May 2018 Pages: 11-24
• Author(s): Jo-anne Bright; Rebecca Richards; Maarten Kruijver; Hannah Kelly; Catherine Mcgovern; Alan Magee; Andrew Mcwhorter; Anne Clecko; Brian Peck; Chase Baumgartner; Christina Buettner; Scott Mcwilliams; Claire Nckenna; Colin Gallacher; Ben Mallinder; Darren Wright; Deven Johnson; Dorothy Catella; John S. Buckleton
• Date Published: May 2018
• Length: 14 pages
• Grant Number(s): 2011-DN-BX-K541; 2014-DN-BX-K028; 2017-DN-BX-0136
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical); Report (Study/Research); Report (Grant Sponsored); Program/Project Description
• Award: Population Genetic Issues for Forensic DNA Profiles; Population Genetic Issues for Forensic DNA Profiles; Population Genetic Issues for Forensic DNA Profiles

Annotation

This article reports on a large compilation of the internal validations of the probabilistic genotyping software STRmix.

Abstract

Thirty-one laboratories contributed data, resulting in 2,825 mixtures comprising three to six donors and a wide range of multiplex, equipment, mixture proportions and templates. Previously reported trends in the LR were confirmed, including less discriminatory LRs occurring both for donors and non-donors at low template (for the donor in question) and at high contributor number. The study was unable to isolate an effect of allelic sharing. Any apparent effect appears to be largely confounded with increased contributor number. (publisher abstract modified)