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Using big data from probabilistic genotyping to solve crime

Published:November 20, 2021DOI:https://doi.org/10.1016/j.fsigen.2021.102631

      Highlights

      • Forensic Science SA implemented STRmix™ in 2012.
      • STRmix™ has deconvoluted all mixed DNA profiles at FSSA since implementation.
      • All 2019 STRmix™ analyses were interrogated to identify trends across the dataset.
      • All pairwise comparisons of deconvolutions identified common DNA donors.
      • 32 groups of linked cases were identified and could be used as police intelligence.

      Abstract

      Forensic Science South Australia (FSSA) has been using STRmix™ software to deconvolute all reported DNA mixtures since 2012. Almost a decade of deconvolutions had led to a substantial repository of analysed profile data that can be interrogated to observe trends in case type, location or occurrence. In addition, deconvolutions can be compared in order to identify common DNA donors and reveal new intelligence information in cases where DNA profiling has previously provided no investigative information. As a proof of concept all samples deconvoluted as part of criminal casework (suspect or no-suspect) were interrogated and compared to each other using the mixture-to-mixture comparison feature in STRmix™. Within the Adelaide region there were 32 groups of cases that had evidence samples linked by a common DNA donor with LR > 1 million which was in addition to direct links and mixture searching links identified previously. These groups of cases can then be interrogated to reveal additional information to inform Police intelligence gathering. Our paper reports on the findings of this proof-of-concept study.

      Keywords

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