Precision DNA Mixture Interpretation with Single-Cell Profiling
Jianye Ge1,2, Jonathan L King1, Amy Smuts1
1Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX 76107, USA.
Genes
|November 27, 2021
Summary
This study introduces a new workflow for interpreting single-cell forensic DNA mixtures, improving accuracy over standard methods. This approach enhances the analysis of complex DNA evidence in casework.
Area of Science:
- Forensic Science
- Genetics
- Molecular Biology
Background:
- Interpreting forensic DNA mixtures is challenging.
- Single-cell technologies offer new possibilities for mixture analysis.
- Systematic interpretation workflows for single-cell mixture data are lacking.
Purpose of the Study:
- To develop and assess a comprehensive interpretation workflow for single-cell DNA mixture profiles.
- To evaluate the accuracy of estimating the number of contributors (NOC) and recovering true alleles.
- To explore the potential for deconvolving mixtures with related contributors.
Main Methods:
- Genotyping individual cells from mixtures.
- Estimating the number of contributors (NOC) per single-cell profile.
- Developing consensus profiles for each contributor.
- Simulations with varying mixture scenarios and empirical error rates (drop-out/drop-in).
Main Results:
- The developed workflow accurately estimates NOC and recovers true alleles.
- Single-cell mixture interpretation demonstrates higher precision than standard CE-STR analysis.
- The approach shows capability in deconvolving mixtures, including those with related individuals.
Conclusions:
- A novel single-cell based workflow provides a new paradigm for forensic DNA mixture interpretation.
- This method enhances the precision and capabilities for analyzing complex forensic genetic casework.
- The findings support the adoption of single-cell analysis for improved forensic investigations.
