Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany.
Hessian State Office of Criminal Investigation, Wiesbaden, Germany.
Forensic Sci Int Genet. 2024 Nov;73:103125. doi: 10.1016/j.fsigen.2024.103125. Epub 2024 Aug 16.
Forensic genetic analyses aim to retrieve as much information as possible from biological trace material recovered from crime scenes. While standard short tandem repeat (STR) profiling is essential to individualize biological traces, its significance is diminished in crime scenarios where the presence of a suspect's DNA is acknowledged by all parties. In such cases, forensic (m)RNA analysis can provide crucial contextualizing information on the source level about a trace's composition, i.e., body fluids/tissues, and has therefore emerged as a powerful tool for modern forensic investigations. However, the question which of several suspects contributed a specific component (body fluid) to a mixed trace cannot be answered by RNA analysis using conventional methods. This individualizing information is stored within the sequence of the mRNA transcripts. Massively parallel sequencing (MPS) represents a promising alternative, offering not only higher multiplex capacity, but also the typing of individual coding region SNPs (cSNPs) to enable the assignment of contributors to mixture components, thereby reducing the risk of association fallacies. Herein, we describe the development of an extensive mRNA/cSNP panel for targeted sequencing on the IonTorrent S5 platform. Our panel comprises 30 markers for the detection of six body fluids/tissues (blood, saliva, semen, skin, vaginal and menstrual secretion), along with 70 linkage-controlled cSNPs for contributor assignment. It exhibited high reliable detection sensitivity with RNA inputs down to 0.75 ng and a conservatively calculated probability of identity of 0.03 - 6 % for individual body fluid-specific cSNP profiles. Limitations and areas for future work include RNA-related allele imbalances, inclusion of markers to correctly identify rectal mucosa and the optimization of specific markers. In summary, our new panel is intended to be a major step forward to interpret biological evidence at sub-source and source level based on cSNP attribution of a body fluid component to a suspect and victim, respectively.
法医遗传学分析旨在从犯罪现场回收的生物痕迹材料中尽可能多地获取信息。虽然标准短串联重复 (STR) 分析对于个体识别生物痕迹至关重要,但在所有各方都承认嫌疑人 DNA 存在的犯罪情况下,其意义就会降低。在这种情况下,法医 (m)RNA 分析可以提供关于痕迹组成(即体液/组织)的来源级别的关键上下文信息,因此已成为现代法医调查的有力工具。然而,使用传统方法的 RNA 分析无法回答几个嫌疑人中哪一个特定成分(体液)贡献于混合痕迹的问题。这种个体识别信息存储在 mRNA 转录本的序列中。大规模并行测序 (MPS) 代表了一种很有前途的替代方法,不仅提供了更高的多重容量,而且还可以对个体编码区 SNP(cSNP)进行分型,从而能够将贡献者分配给混合物成分,从而降低关联谬误的风险。在此,我们描述了在 IonTorrent S5 平台上针对靶向测序开发的广泛的 mRNA/cSNP 面板。我们的面板包含用于检测六种体液/组织(血液、唾液、精液、皮肤、阴道和月经分泌物)的 30 个标记物,以及用于贡献者分配的 70 个连锁控制的 cSNP。它具有很高的可靠检测灵敏度,RNA 输入低至 0.75ng,并且对于个体体液特异性 cSNP 谱保守计算的身份概率为 0.03-6%。未来工作的局限性和领域包括 RNA 相关等位基因失衡、包括正确识别直肠粘膜的标记物以及优化特定标记物。总的来说,我们的新面板旨在向前迈出重要一步,基于对体液成分归因于嫌疑人和受害者的 cSNP 归属,分别在亚源和源水平上解释生物证据。