Forensic Science International: Genetics
PCAST, STRmix, Forensic DNA, Probabilistic genotyping, Continuous models, Validation
We report a large compilation of the internal validations of the probabilistic genotyping software STRmix™. Thirty one laboratories contributed data resulting in 2825 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. We were unable to isolate an effect of allelic sharing. Any apparent effect appears to be largely confounded with increased contributor number.
Bright, Jo-Anne; Rebecca Richards; Maarten Kruijver; Hannah Kelly; Catherine McGovern; Alan Magee; Andrew McWhorter; Anne Cieko; Brian Peck; Chase Baumgartner; Christina Buettner; Scott McWilliams; Claire McKenna; Colin Gallacher; Ben Mallinder; Darren Wright; Deven Johnson; Dorothy Catella; Eugene Lien; Craig O'Connor; George Duncan; Jason Bundy; Jillian Echard; John Lowe; Joshua Stewart; Kathleen Corrado; Sheila Gentile; Marla Kaplan; Michelle Hassler; Naomi McDonald; Paul Hulme; Rachel H. Oefelein; Shawn Montpetit; Melissa Strong; Sarah Noel; Simon Malsom; Steven Myers; Susan Welti; Tamyra Moretti; Teresa McMahon; Thomas Grill; Tim Kalafut; Mary Margaret Greer-Ritzheimer; Vickie Beamer; Duncan A. Taylor; and John S. Buckleton. 2018. "Internal validation of STRmix™ – A multi laboratory response to PCAST." Forensic Science International: Genetics 34, (): 11-24. doi:10.1016/j.fsigen.2018.01.003.