| Literature DB >> 29367014 |
Jo-Anne Bright1, Rebecca Richards2, Maarten Kruijver2, Hannah Kelly2, Catherine McGovern2, Alan Magee3, Andrew McWhorter4, Anne Ciecko5, Brian Peck6, Chase Baumgartner7, Christina Buettner8, Scott McWilliams8, Claire McKenna9, Colin Gallacher10, Ben Mallinder10, Darren Wright11, Deven Johnson12, Dorothy Catella13, Eugene Lien14, Craig O'Connor14, George Duncan15, Jason Bundy16, Jillian Echard17, John Lowe18, Joshua Stewart19, Kathleen Corrado20, Sheila Gentile20, Marla Kaplan21, Michelle Hassler22, Naomi McDonald23, Paul Hulme24, Rachel H Oefelein25, Shawn Montpetit26, Melissa Strong26, Sarah Noël27, Simon Malsom28, Steven Myers29, Susan Welti30, Tamyra Moretti31, Teresa McMahon32, Thomas Grill33, Tim Kalafut34, MaryMargaret Greer-Ritzheimer35, Vickie Beamer36, Duncan A Taylor37, John S Buckleton38.
Abstract
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.Entities:
Keywords: Continuous models; Forensic DNA; PCAST; Probabilistic genotyping; STRmix; Validation
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Year: 2018 PMID： 29367014 DOI： 10.1016/j.fsigen.2018.01.003
Source DB: PubMed Journal: Forensic Sci Int Genet ISSN： 1872-4973 Impact factor: 4.882