Literature DB >> 22613779

Assessment of mock cases involving complex low template DNA mixtures: A descriptive study.

Corina C G Benschop1, Hinda Haned, Tanja J P de Blaeij, Alexander J Meulenbroek, Titia Sijen.   

Abstract

Complex DNA mixtures with low template (LT) components provide the most challenging cases to interpret and report. In this study, we designed such mixtures and we describe how reporting officers (ROs) at the Netherlands Forensic Institute (NFI) assess these when embedded in a mock case setting. DNA mixtures containing LT DNA from two to four contributors, sporadic contamination (mimicked by adding 6pg of DNA, which represents once cell equivalent) and/or DNA of relatives (brothers), were amplified four-fold using the AmpFlSTR(®) NGM™ PCR Amplification Kit. Consensus profiles were then generated which included the alleles detected in at least half of the replicates. Four mock cases were created by including reference profiles of a hypothetical victim and suspect. The mock cases were assessed by eight ROs following the stepwise interpretation approach currently in use at the NFI. With this approach, the results of the comparisons between the DNA profiles of the evidentiary trace and the reference profiles are classified into four categories of evidential value [1]. The interpretations by the ROs were compared to the likelihood ratios (LRs) obtained from a probabilistic model that allows a calculation of LRs to assist the interpretation of LT DNA evidence and both were compared to the true composition of the designed mixtures.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22613779     DOI: 10.1016/j.fsigen.2012.04.007

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  4 in total

1.  Response to Grisedale and Van Daal: comparison of STR profiling from low template DNA extracts with and without the consensus profiling method.

Authors:  Bas Kokshoorn; Bart J Blankers
Journal:  Investig Genet       Date:  2013-01-03

2.  Revisiting single cell analysis in forensic science.

Authors:  Davis R L Watkins; Dan Myers; Hannah E Xavier; Michael A Marciano
Journal:  Sci Rep       Date:  2021-03-29       Impact factor: 4.379

Review 3.  A Review of Probabilistic Genotyping Systems: EuroForMix, DNAStatistX and STRmix™.

Authors:  Peter Gill; Corina Benschop; John Buckleton; Øyvind Bleka; Duncan Taylor
Journal:  Genes (Basel)       Date:  2021-09-30       Impact factor: 4.096

4.  Pushing the Boundaries: Forensic DNA Phenotyping Challenged by Single-Cell Sequencing.

Authors:  Marta Diepenbroek; Birgit Bayer; Katja Anslinger
Journal:  Genes (Basel)       Date:  2021-08-30       Impact factor: 4.096

  4 in total

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