College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia; Forensic Science SA, GPO Box 2790, Adelaide, South Australia 5001, Australia.
Forensic Science SA, GPO Box 2790, Adelaide, South Australia 5001, Australia.
Forensic Sci Int Genet. 2021 Jul;53:102518. doi: 10.1016/j.fsigen.2021.102518. Epub 2021 Apr 6.
Evaluating forensic biological evidence considering activity level propositions is becoming more prominent around the world. In such evaluations it is common to combine results from multiple items associated with the alleged activities. The results from these items may not be conditionally independent, depending on the mechanism of cell/DNA transfer being considered and it is important that the evaluation takes these dependencies into account. Part of this consideration is to incorporate our understanding of prevalent DNA and of background DNA on objects and people, and how activities can lead to common sources of unknown DNA being deposited on items. We demonstrate a framework for evaluation of DNA evidence in such a scenario using Object-Oriented Bayesian Networks and apply it to a motivating case from South Australia.
在全球范围内,考虑活动水平假设来评估法医学生物证据变得越来越重要。在这种评估中,通常将与涉嫌活动相关的多个项目的结果结合起来。这些项目的结果可能不是条件独立的,这取决于所考虑的细胞/DNA 转移机制,评估时重要的是要考虑到这些依赖性。其中一部分考虑因素是要结合我们对物体和人员上普遍存在的 DNA 和背景 DNA 的理解,以及活动如何导致未知 DNA 的常见来源被沉积在物品上。我们使用面向对象的贝叶斯网络展示了在这种情况下评估 DNA 证据的框架,并将其应用于来自南澳大利亚的一个动机案例。