Forensic Trace Dynamics, Faculty of Technology, Amsterdam University of Applied Sciences, Amsterdam (AUAS), the Netherlands; Netherlands Forensic Institute, The Hague, The Netherlands.
Forensic Trace Dynamics, Faculty of Technology, Amsterdam University of Applied Sciences, Amsterdam (AUAS), the Netherlands.
Forensic Sci Int. 2024 Aug;361:112097. doi: 10.1016/j.forsciint.2024.112097. Epub 2024 Jun 12.
In cases of sexual assault, the interpretation of biological traces on clothing, and particularly undergarments, may be complex. This is especially so when the complainant and defendant interact socially, for instance as (ex-)partners or by co-habitation. Here we present the results from a study where latent male DNA on female worn undergarments is recovered in four groups with different levels of male-female social interaction. The results conform to prior expectation, in that less interaction tend to result in less male DNA on undergarments. We explore the use of these experimental data for evaluative reporting given activity level propositions in a mock case scenario. We show how the selection of different populations to represent the social interaction between complainant and defendant may affect the strength of the evidence. We further show how datasets of limited size can be used for robust activity level evaluative reporting.
在性侵犯案件中，对衣物，尤其是内衣上生物痕迹的解读可能较为复杂。如果受害者和犯罪者之间存在社会关系，例如曾经是（前）伴侣或同居关系，这种情况就更加复杂。在这里，我们呈现了一项研究的结果，该研究针对不同程度社会关系的女性内衣上潜在的男性 DNA 进行了分析。结果与之前的预期相符，即社会关系越不密切，内衣上的男性 DNA 就越少。我们还探讨了在模拟案例场景中，根据活动水平假设，如何利用这些实验数据进行评估报告。我们展示了如何选择不同的人群来代表受害者和犯罪者之间的社会关系，这可能会影响证据的可信度。我们还进一步展示了如何使用有限的数据集进行稳健的活动水平评估报告。
