Effect on the likelihood ratio when under- and over-assigning the number of contributors to higher order mixtures.

IF 1.8
Lies Janssens, Georgia Nichol, Duncan A Taylor, Paul Stafford-Allen, John S Buckleton, Jo-Anne Bright
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Abstract

The availability of highly sensitive multiplex kits has resulted in the more common observation of low-level and more complex (multiple contributors) DNA profiles within forensic casework. With the emergence of probabilistic genotyping software these complex DNA mixture profiles can now be interpreted. This has led to a shift in questioning within courtroom settings, where the number of contributors (NoC) assigned by the forensic DNA analyst is now often scrutinized. This study aims to assess the likelihood ratio (LR) behavior for the under- and over-assignment of a range of complex mixtures, including six-person mixtures, using the probabilistic genotyping software STRmix™. The mixtures were analyzed using FaSTR™ DNA and a NoC was "blindly" assigned by an analyst (i.e., without prior knowledge of the experimental design). LRs obtained for true contributors and non-contributors, under different NoC assignments, were compared and showed that overestimating NoC may lead to weak adventitious matches, while underestimating can lead to the false exclusions of true contributors. Little effect was observed on the LR assigned to the major contributors to these complex mixtures. Moreover, as the profile complexity increased (higher order mixtures), the impact on the LR for true contributors, when underestimating NoC by one, diminished, with only 35 of the 72 comparisons (~49%) resulting in a smaller LR for the under-assignment. It is paramount for DNA analysts to understand the LR behavior especially when questioned on the witness stand regarding their NoC assignment, as there is no ability to reassess or reinterpret the evidence in real-time.

对高阶混合的贡献者数量分配不足和过多时对似然比的影响。
高灵敏度的多重试剂盒的可用性导致在法医案件工作中更普遍地观察到低水平和更复杂(多重贡献者)的DNA图谱。随着概率基因分型软件的出现,这些复杂的DNA混合谱现在可以被解释。这导致了法庭审问方式的转变,法医DNA分析师指定的供稿人数量现在经常被仔细审查。本研究旨在使用概率基因分型软件STRmix™评估一系列复杂混合物(包括六人混合物)分配不足和过度分配的似然比(LR)行为。使用FaSTR™DNA对混合物进行分析,并由分析人员“盲目”分配NoC(即,在没有事先了解实验设计的情况下)。对不同NoC分配下的真贡献者和非贡献者的LRs进行了比较,结果表明,高估NoC可能导致弱的随机匹配,而低估NoC可能导致假排除真贡献者。对分配给这些复杂混合物的主要贡献者的LR几乎没有观察到影响。此外,随着剖面复杂性的增加(高阶混合),当低估NoC为1时,对真正贡献者的LR的影响减小,72个比较中只有35个(~49%)导致分配不足的LR较小。对于DNA分析人员来说,了解LR的行为是至关重要的,尤其是当他们在证人席上被问及NoC分配时,因为没有能力实时重新评估或重新解释证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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