A series of recommended tests when validating probabilistic DNA profile interpretation software

Area of Science:

• Forensic Science
• Genetics
• Biotechnology

Background:

• Forensic DNA interpretation is shifting towards continuous methods.
• Laboratory adoption of probabilistic software is slow due to complex calculations and validation concerns.

Purpose of the Study:

• To describe experiments for the internal validation of probabilistic DNA interpretation software.
• To address the perceived complexity of calculations and lack of validation requirements.

Main Methods:

• Developed experiments for validating probabilistic interpretation software.
• Included single source and mixed DNA profiles with and without dropout and drop-in.
• Assessed software reproducibility through replicate analyses using STRmix™, LRmix, and Lab Retriever.

Main Results:

• Demonstrated reproducible results for probabilistic DNA interpretation software.
• Provided transparent calculations for specific profile examples.
• Facilitated partial internal validation of probabilistic interpretation software.

Conclusions:

• The described experiments can aid in the internal validation of probabilistic DNA interpretation software.
• Transparent calculations and validation methods can increase laboratory confidence and uptake of new technologies.