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当可以假定存在一个常见的贡献者时,结合多个混合 DNA 谱的证据以提高供体的分辨率。

Combining evidence across multiple mixed DNA profiles for improved resolution of a donor when a common contributor can be assumed.

机构信息

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.

Institute of Environmental Science and Research, Auckland, New Zealand.

出版信息

Forensic Sci Int Genet. 2020 Nov;49:102375. doi: 10.1016/j.fsigen.2020.102375. Epub 2020 Aug 29.

Abstract

In casework there are often multiple mixed DNA profiles with a single unknown offender who is believed to be a contributor. Sometimes none of these profiles are individually informative enough to evaluate whether a person of interest (PoI) is a contributor. We propose a method that combines evidence across multiple mixtures to better resolve the genotype of a queried common donor. This method can also resolve genotypes of a queried non-common donor (i.e. unique to one profile), when other donors of that mixture have contributed to multiple samples. The approach has similarities with the analysis of replicate PCRs, with the difference being that we do not necessarily assume that all the contributors are the same across the evidential profiles, nor do we assume that parameters such as the mixture ratio are constant. Our method can be used to compute an LR for a PoI being the common contributor to multiple stains. It is also possible to interrogate a database of reference profiles to search for the queried donor (common or non-common). We show that the method can identify a queried contributor in cases where individual comparisons have limited capacity to discriminate between donors and non-donors, when some assumption(s) can be made about multiple contributors being from the same sources (queried or not).

摘要

在案例工作中,经常会出现多个混合 DNA 图谱,而单个未知的犯罪嫌疑人被认为是贡献者。有时,这些图谱中的任何一个都不足以单独提供足够的信息来评估感兴趣的人(PoI)是否是贡献者。我们提出了一种方法,可以跨多个混合物综合证据,以更好地确定查询的常见供体的基因型。当该混合物的其他供体已对多个样本做出贡献时,该方法还可以解析查询的非常见供体(即仅存在于一个图谱中)的基因型。该方法与重复 PCR 分析具有相似之处,不同之处在于,我们不一定假设所有贡献者在所有证据图谱中都是相同的,也不假设混合比等参数是恒定的。我们的方法可用于计算 PoI 作为多个痕迹的常见供体的似然比。也可以查询参考图谱数据库以搜索查询的供体(常见或非常见)。我们表明,当可以对多个贡献者来自相同来源(查询或不查询)做出某些假设时,该方法可以在个体比较在区分供体和非供体方面能力有限的情况下识别查询的供体。

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