The rare type match problem is an evaluative challenging situation in which the analysis of a DNA profile reveals the presence of (at least) one allele which is not contained in the reference database. This situation is challenging because an estimate for the frequency of occurrence of the profile in a given population needs sophisticated evaluative procedures. The rare type match problem is very common when the DIP-STR marker system, which has proven itself very useful for dealing with unbalanced DNA mixtures, is used, essentially due to the limited size of the available database. The object-oriented Bayesian network proposed in Cereda, Biedermann, Hall and Taroni (2014) to assess the value of the evidence for general scenarios, was not designed to deal with this particular situation. In this paper, the model is extended and partially modified to be able to calculate the full Bayesian likelihood ratio in presence of any (observed and not yet observed) allele of a given profile. The method is based on the approach developed in Cereda (2017) for Y-STR data. Alternative solutions, such as the plug-in approximation and an empirical Bayesian methodology are also proposed and compared with the results obtained with the full Bayesian approach.
翻译:稀有类型的匹配问题是一个具有挑战性的评价性情况,对DNA剖面的分析揭示出(至少)没有包含在参考数据库中的一所有物存在,这种情况具有挑战性,因为对特定人群中剖面发生频率的估计需要复杂的评估程序。在使用DIP-STR标记系统时,稀有类型的匹配问题非常常见,该系统已被证明对处理不平衡的DNA混合物非常有用,这主要是因为现有数据库的规模有限。Cereda、Biedermann、Hall和Taroni (2014)中提议的用于评估一般情景证据价值的面向目标的Bayesian网络,其设计不是为了处理这一特定情形。在本文中,模型被扩展和部分修改,以便能够在出现任何(观测到和尚未观测到的)特定剖面的情况下计算出整个巴伊西亚概率率。这种方法以Cereda (2017年) 开发的Y-STR数据方法为基础。还提出了替代解决方案,如插头和实证巴耶西亚方法,并与整个巴伊西亚方法进行比较。