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Using big data from probabilistic genotyping to solve crime.

Duncan Taylor1, Damien Abarno2

  • 1School of Biological Sciences, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia; Forensic Science SA, PO Box 2790, Adelaide, SA 5000, Australia.

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Summary
This summary is machine-generated.

Forensic Science South Australia utilized STRmix™ software to analyze DNA mixtures, uncovering 32 new case groups linked by common DNA donors in Adelaide. This analysis provides valuable intelligence for police investigations.

Keywords:
DNA mixturesDeconvolutionMixture to mixturePolice intelligenceSTRmix

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Area of Science:

  • Forensic Science
  • Genetics
  • Criminalistics

Background:

  • Forensic Science South Australia (FSSA) has employed STRmix™ software for DNA mixture deconvolution since 2012.
  • A significant dataset of analyzed DNA profiles has accumulated over nearly a decade.
  • This data holds potential for identifying trends and uncovering new intelligence.

Purpose of the Study:

  • To demonstrate the utility of mixture-to-mixture comparisons within STRmix™ for identifying previously unknown links between criminal cases.
  • To leverage a decade of deconvoluted DNA profiles to reveal additional investigative information.
  • To assess the potential for enhancing police intelligence gathering through retrospective DNA profile analysis.

Main Methods:

  • Utilized the mixture-to-mixture comparison feature of STRmix™ software.
  • Interrogated and compared all DNA samples deconvoluted from criminal casework (suspect and no-suspect).
  • Focused on samples within the Adelaide region for this proof-of-concept study.

Main Results:

  • Identified 32 distinct groups of cases in the Adelaide region linked by a common DNA donor (Likelihood Ratio > 1 million).
  • These links were discovered in addition to previously identified direct and mixture searching links.
  • Demonstrated the capability to uncover new intelligence from existing DNA data.

Conclusions:

  • The mixture-to-mixture comparison feature in STRmix™ is effective for identifying new case linkages.
  • Retrospective analysis of deconvoluted DNA profiles can significantly enhance police intelligence gathering.
  • This approach offers a powerful tool for connecting seemingly unrelated criminal cases through shared DNA donors.