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在概率基因分型背景下的复合和条件似然比行为。

Compound and Conditioned Likelihood Ratio Behavior within a Probabilistic Genotyping Context.

机构信息

California Department of Justice, Richmond, CA 94804, USA.

出版信息

Genes (Basel). 2022 Nov 4;13(11):2031. doi: 10.3390/genes13112031.

DOI:10.3390/genes13112031
PMID:36360267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9690711/
Abstract

In cases where multiple questioned individuals are separately supported as contributors to a mixed DNA profile, guidance documents recommend performing a comparison to see if there is support for their joint contribution. Anecdotal observations suggest the summed log of the individual likelihood ratios (LR), termed the simple LR product, should be roughly equivalent to or less than the log(LR) for the joint likelihood ratio, termed the compound LR. To assist casework analysts in evaluating statistical weights applied to a case at hand, this study assessed how consistently compound LRs conform to an additive behavior when compared to the simple LR product counterparts. Two-, three-, and four-person DNA mixture data, of various mixture proportions and DNA inputs, were interpreted by STRmix version 2.8 Probabilistic Genotyping Software. Relative magnitudes of LR increases were found to be dependent on both template level and mixture composition. The distribution of log(LR) differences between all compound/simple LR comparisons was -2.7 to ~28.3. This level of information gain was similar to that for compound LR comparisons, with and without interpretation conditioning (-3.2 to ~27.7). In both scenarios, the probability density peaked at approximately 0.5, indicating the information gain from constrained genotype combinations has a comparable impact on the outcome of LR calculations whether the restriction is applied before or after interpretation.

摘要

在多个受到质疑的个体分别被支持为混合 DNA 谱的贡献者的情况下,指导文件建议进行比较,以查看是否支持他们的共同贡献。一些传闻观察表明,个体似然比(LR)的对数之和(称为简单 LR 乘积)应大致等于或小于联合似然比(称为复合 LR)的对数(LR)。为了帮助案件分析人员评估应用于手头案件的统计权重,本研究评估了当与简单 LR 乘积相对应时,复合 LR 如何一致地符合加性行为。通过 STRmix 版本 2.8 概率基因分型软件解释了来自不同混合比例和 DNA 输入的两、三、四人 DNA 混合物数据。LR 增加的相对幅度取决于模板水平和混合物组成。发现所有复合/简单 LR 比较之间的 LR 差异对数分布在-2.7 到28.3 之间。这种信息量的增加与具有和不具有解释条件的复合 LR 比较相似(-3.2 到27.7)。在这两种情况下,概率密度峰值约为 0.5,表明从受约束的基因型组合中获得的信息量对 LR 计算结果的影响相当,无论限制是在解释之前还是之后应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/e69dddcdd382/genes-13-02031-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/26a13bc512bf/genes-13-02031-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/60a629b86cbd/genes-13-02031-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/57ac4c803cf4/genes-13-02031-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/95d0c444526e/genes-13-02031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/0ded21293ff2/genes-13-02031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/9e824128b292/genes-13-02031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/85d910618248/genes-13-02031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/1ad61a2b7f4f/genes-13-02031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/7eae70a97b32/genes-13-02031-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/e69dddcdd382/genes-13-02031-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/26a13bc512bf/genes-13-02031-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/60a629b86cbd/genes-13-02031-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/57ac4c803cf4/genes-13-02031-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/95d0c444526e/genes-13-02031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/0ded21293ff2/genes-13-02031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/9e824128b292/genes-13-02031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/85d910618248/genes-13-02031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/1ad61a2b7f4f/genes-13-02031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/7eae70a97b32/genes-13-02031-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/9690711/e69dddcdd382/genes-13-02031-g007a.jpg

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When evaluating DNA evidence within a likelihood ratio framework, should the propositions be exhaustive?在似然比框架内评估 DNA 证据时,命题是否应该详尽无遗?
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