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Validation of probabilistic genotyping software for use in forensic DNA casework: Definitions and illustrations
Hinda Haned1, Peter Gill2, Kirk Lohmueller3
1Netherlands Forensic Institute, Department of Human Biological traces, The Hague, The Netherlands.
Science & Justice : Journal of the Forensic Science Society
|March 16, 2016
Summary
New software for interpreting complex DNA profiles requires rigorous validation for forensic use. This paper outlines validation principles and applies them to DNA interpretation software, clarifying the link between statistical models and their software implementation.
Area of Science:
- Forensic Science
- Computational Biology
- Biostatistics
Background:
- New computer programs aid DNA profile interpretation in forensic casework.
- Software validation is crucial for user and court acceptance of forensic DNA analysis tools.
Purpose of the Study:
- To discuss general principles of software validation for forensic DNA interpretation.
- To clarify the relationship between statistical models and their software implementation.
- To provide examples using the LRmix program.
Main Methods:
- Discussion of general software validation principles.
- Application of principles to forensic DNA interpretation software.
- Illustrative examples using the LRmix program.
Main Results:
- Few guidelines currently exist for validating forensic DNA interpretation software.
- The paper clarifies the distinction between statistical models and their software implementations.
- The LRmix program is used to demonstrate practical application of validation principles.
Conclusions:
- Establishing clear validation guidelines is essential for forensic DNA interpretation software.
- Understanding the model-software relationship is key to reliable DNA analysis.
- Validated software ensures the integrity and admissibility of forensic DNA evidence.
