Identifying Contributors of DNA Mixtures by Means of Quantitative Information of STR Typing
Identifying Contributors of DNA Mixtures by Means of Quantitative Information of STR Typing
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DOI：
10.1089/cmb.2010.0055
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发表时间：
2012-07-01
影响因子：
1.7
通讯作者：
Morling, Niels
中科院分区：
文献类型：
--
作者：
Tvedebrink, Torben;Eriksen, Poul Svante;Morling, Niels
在法医遗传学中，估计证据的权重通常是根据似然比LR来完成的。LR评估在竞争假设下观察到的证据的概率。大多数情况下，LR中使用的概率仅考虑来自使用多态性遗传标记鉴定的基因组变异的证据。然而，现代分型技术提供了额外的定量数据，其中包含有关观察到的证据的非常重要的信息。这对于DNA混合物的情况尤其如此，其中不止一个个体促成了观察到的生物染色。本文介绍了一种在LR中包含短串联重复序列（STR）DNA混合物定量信息的方法。此外，一个有效的算法方法，寻找最佳匹配的组合的DNA混合物配置文件的推导和实施的在线工具，两个和三个人的DNA混合物。最后，我们证明了两个人的混合物如何最好的匹配对配置文件可以用于估计似然比使用重要性抽样。使用重要性抽样来估计似然比的原因是评估证据权重所需的特征组合的数量往往很大。在线工具可在http://people.math.aau.dk/similar tvede/dna/获得。
Estimating the weight of evidence in forensic genetics is often done in terms of a likelihood ratio, LR. The LR evaluates the probability of the observed evidence under competing hypotheses. Most often, probabilities used in the LR only consider the evidence from the genomic variation identified using polymorphic genetic markers. However, modern typing techniques supply additional quantitative data, which contain very important information about the observed evidence. This is particularly true for cases of DNA mixtures, where more than one individual has contributed to the observed biological stain. This article presents a method for including the quantitative information of short tandem repeat (STR) DNA mixtures in the LR. Also, an efficient algorithmic method for finding the best matching combination of DNA mixture profiles is derived and implemented in an on-line tool for two- and three-person DNA mixtures. Finally, we demonstrate for two-person mixtures how this best matching pair of profiles can be used in estimating the likelihood ratio using importance sampling. The reason for using importance sampling for estimating the likelihood ratio is the often vast number of combinations of profiles needed for the evaluation of the weight of evidence. Online tool is available at http://people.math.aau.dk/similar to tvede/dna/.