Literature DB >> 30844683

Interpreting a major component from a mixed DNA profile with an unknown number of minor contributors.

Todd Bille1, Steven Weitz2, John S Buckleton3, Jo-Anne Bright4.   

Abstract

Modern interpretation strategies typically require an assignment of the number of contributors (N) to a DNA profile. This can prove to be a difficult task, particularly when dealing with higher order mixtures or mixtures where one or more contributors have donated low amounts of DNA. Differences in the assigned N at interpretation can lead to differences in the likelihood ration (LR). If the number of contributors cannot reasonably be assigned, then an interpretation of the profile may not be able to be progressed. In this study, we investigate mixed DNA profiles of varying complexity and interpret them altering the assigned N. We assign LRs for true- and non- contributors and compare the results given different assignments of N over a range of mixture proportions. When a component of a mixture had a proportion of at least 10%, a ratio of at least 1.5:1 to the next highest component, and a DNA amount (as determined by STRmix™) of at least 50 rfu, the LR of the component for a true contributor was not significantly affected by varying N and was therefore suitable for interpretation and the assignment of an LR. LRs produced for minor contributors were found to vary significantly as the assigned N was changed. These heuristics may be used to identify profiles suitable for interpretation. Published by Elsevier B.V.

Keywords:  Forensic DNA; Mixture interpretation; Probabilistic genotyping; STRmix™

Mesh:

Substances:

Year:  2019        PMID: 30844683     DOI: 10.1016/j.fsigen.2019.02.017

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


  3 in total

1.  MaSTR™: an effective probabilistic genotyping tool for interpretation of STR mixtures associated with differentially degraded DNA.

Authors:  Mitchell M Holland; Teresa M Tiedge; Abigail J Bender; Sidney A Gaston-Sanchez; Jennifer A McElhoe
Journal:  Int J Legal Med       Date:  2022-01-29       Impact factor: 2.686

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

  3 in total

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