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案例求解器:一个基于 EuroForMix 的调查性开源专家系统。

CaseSolver: An investigative open source expert system based on EuroForMix.

机构信息

Department of Forensic Sciences, Oslo University Hospital, Oslo, Norway.

Instituto de Ciencias Forenses, Grupo de Medicina Xenómica, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

出版信息

Forensic Sci Int Genet. 2019 Jul;41:83-92. doi: 10.1016/j.fsigen.2019.03.024. Epub 2019 Apr 2.

Abstract

For very serious crimes, reporting scientists often have to contend with complex cases where literally hundreds of items are submitted by investigators for analysis. In order to efficiently expedite the challenge of comparing reference profiles to evidence profiles, many of which are mixtures, we have developed an investigative open source expert system CaseSolver. We have analysed a real case based on GlobalFiler involving 119 evidence profiles and 3 reference profiles. To provide a demonstration of the power of the system we also added the three references to a fictive large database of 1 million individuals in order to test subsequent recovery of the presumed true contributors. CaseSolver was used on a Fusion 6C validation study involving 25 two- to four-person mixture profiles based on 14 reference profiles. The sequential use of simple allele comparison, the qualitative model (forensim) and the quantitative model (EuroForMix) makes the analysis very fast and accurate - and finally, the software generates a list of potential match candidates which can be exported as a report. From these two studies we found that the resolution of match candidates from CaseSolver was the same as that reported by a scientist who worked manually through the samples, except that CaseSolver highlighted two manual errors. For the validation study we found low template DNA samples giving negative results, which demonstrate the limitations of the tool; but overall our assessment shows that CaseSolver will benefit all analyses involving mixture interpretation and screening. Importantly, CaseSolver removes the very time-consuming aspect of manual comparison and gives improved quality by preventing manual errors.

摘要

对于非常严重的犯罪,报告科学家通常不得不应对复杂的案件,其中调查人员提交的分析项目实际上有数百个。为了有效地加快将参考图谱与证据图谱进行比较的挑战,其中许多是混合物,我们开发了一个调查开源专家系统 CaseSolver。我们已经根据 GlobalFiler 分析了一个涉及 119 个证据图谱和 3 个参考图谱的真实案例。为了展示系统的强大功能,我们还将这三个参考添加到一个虚构的 100 万人的大型数据库中,以测试随后对假定的真实供体的恢复情况。CaseSolver 用于涉及基于 14 个参考图谱的 25 个 2 至 4 人混合图谱的 Fusion 6C 验证研究。简单等位基因比较、定性模型(forensim)和定量模型(EuroForMix)的顺序使用使分析非常快速和准确-最后,该软件生成一份潜在匹配候选者列表,可以作为报告导出。从这两项研究中,我们发现 CaseSolver 候选者的分辨率与手动处理样本的科学家报告的分辨率相同,只是 CaseSolver 突出了两个手动错误。对于验证研究,我们发现低模板 DNA 样本给出了阴性结果,这证明了该工具的局限性;但总体而言,我们的评估表明,CaseSolver 将使所有涉及混合物解释和筛选的分析受益。重要的是,CaseSolver 消除了手动比较非常耗时的方面,并通过防止手动错误提高了质量。

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