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Simplification of complex DNA profiles using front end cell separation and probabilistic modeling
Nancy A Stokes1, Cristina E Stanciu1, Emily R Brocato1
1Department of Forensic Science, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA, 23284, United States.
Forensic Science International. Genetics
|July 29, 2018
Summary
Forensic DNA mixture interpretation is improved by a novel cell separation technique. This method simplifies complex profiles, enhancing statistical evidence for multiple contributors in forensic samples.
Area of Science:
- Forensic Science
- Molecular Biology
- Genetics
Background:
- Complex forensic DNA mixtures from multiple contributors present interpretation challenges.
- These challenges can reduce the statistical power of evidence and lead to data loss.
Purpose of the Study:
- To evaluate a front-end cell separation workflow for complex forensic DNA mixtures.
- To assess the impact of Fluorescence-Activated Cell Sorting (FACS) on mixture complexity and interpretability.
Main Methods:
- Selective fluorescent antibody labeling of specific cell populations (HLA-A*02 allele).
- Separation of labeled cells using FACS into enriched fractions.
- Generation of DNA profiles from sorted fractions and quantitative analysis with TrueAllele® Casework software.
Main Results:
- Antibody labeling and FACS significantly simplified STR profiles from complex mixtures.
- Sorted cell fractions yielded more interpretable DNA profiles compared to original mixtures.
- TrueAllele® analysis of sorted fractions improved statistical strength for contributor association.
Conclusions:
- Front-end cell separation using antibody labeling and FACS is effective for complex forensic mixtures.
- This workflow enhances the interpretability of STR profiles and strengthens statistical associations.
- The method offers a promising approach to overcome challenges in forensic DNA mixture analysis.
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