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

Jo Anne Bright, Rebecca Richards, Maarten Kruijver, Hannah Kelly, Catherine McGovern, Alan Magee, Andrew McWhorter, Anne Ciecko, Brian Peck, Chase Baumgartner, Christina Buettner, Scott McWilliams, Claire McKenna, Colin Gallacher, Ben Mallinder, Darren Wright, Deven Johnson, Dorothy Catella, Eugene Lien, Craig O'ConnorGeorge 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 Noël, Simon Malsom, Steven Myers, Susan Welti, Tamyra Moretti, Teresa McMahon, Thomas Grill, Tim Kalafut, Mary Margaret Greer-Ritzheimer, Vickie Beamer, Duncan A. Taylor, John S. Buckleton

Research output: Contribution to journalArticlepeer-review

75 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)11-24
Number of pages14
JournalForensic Science International: Genetics
StatePublished - May 2018
Externally publishedYes


  • Continuous models
  • Forensic DNA
  • Probabilistic genotyping
  • STRmix
  • Validation

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Genetics


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