15-Oct-2024

Validated for 10 Contributor Mixtures

Five years ago, the Journal of Forensic Sciences (JFS) published an open-access peer-reviewed study "Validating TrueAllele® Interpretation of DNA Mixtures Containing up to Ten Unknown Contributors" by David Bauer, Nasir Butt, Jennifer Hornyak, and Mark Perlin. The study found that "TrueAllele is a reliable method for analyzing DNA mixtures containing up to ten unknown contributors."

Most DNA evidence is a mixture of two or more people. But much of this evidence goes unreported, lost to criminal justice. When unable to fully interpret DNA data from mixtures of more than several people, artificial limits give "inconclusive" results. The result is injustice – criminals go free, while innocents are imprisoned.

This new study showed that human limits preventing DNA evidence interpretation are unnecessary. TrueAllele computer interpretation of crime laboratory data can draw reliable conclusions from previously "inconclusive" DNA evidence. Better science delivers better justice – criminals are convicted, and innocents go free.