Internal validation of STRmix™ - A multi laboratory response to PCAST

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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.
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2018
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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.

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Forensic Science International: Genetics

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34

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Mathematical sciences

Biological sciences

Continuous models

Forensic DNA

PCAST

Probabilistic genotyping

STRmix

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Bright, et al., Internal validation of STRmix™ - A multi laboratory response to PCAST., Forensic Science International: Genetics, 2018, 34, pp. 11-24

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