Internal validation of STRmix™ - A multi laboratory response to PCAST
Author(s)
Bright, Jo-Anne
Richards, Rebecca
Kruijver, Maarten
Kelly, Hannah
McGovern, Catherine
Magee, Alan
McWhorter, Andrew
Ciecko, Anne
Peck, Brian
Baumgartner, Chase
Buettner, Christina
McWilliams, Scott
McKenna, Claire
Oefelein, Rachel H
et al.
Griffith University Author(s)
Year published
2018
Metadata
Show full item recordAbstract
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.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.
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Journal Title
Forensic Science International: Genetics
Volume
34
Subject
Mathematical sciences
Biological sciences
Continuous models
Forensic DNA
PCAST
Probabilistic genotyping
STRmix