Skjernvej 4A, DK-9220 Aalborg East, Denmark.
Forensic Sci Int Genet. 2019 Sep;42:147-153. doi: 10.1016/j.fsigen.2019.06.013. Epub 2019 Jul 8.
Analysis of Ancestry Informative Markers (AIMs) is of interest to forensic geneticists for the purpose of assessing the origin of individuals. Often AIMs are used to produce investigative leads for potential suspects in crime cases and identification in missing persons mass disaster cases. We have previously suggested to assess the origin of the profile of interest by a likelihood ratio test on Fisher's exact test. The likelihood ratio test assesses the likelihood of the data under two competing hypotheses, where the null hypothesis assume common origin of the profile of interest and those in a specified population. However, in the case of a profile of an individual of admixed ancestry, there is an increased risk that the profile will be rejected in the constituting populations. The likelihood ratio test approach is extended by allowing for profile admixture implying the profile of interest is a mixture of profiles from two populations. The Expectation-Maximisation (EM) algorithm is used to handle the ambiguity of allocation of alleles at heterozygous markers. To demonstrate the approach, admixed profiles are simulated using AIMs genotypes in eight global meta populations.
分析祖籍信息标记(AIMs)引起了法医学遗传学家的兴趣,目的是评估个体的起源。通常,AIMs 用于为犯罪案件中的潜在嫌疑人提供调查线索,并在失踪人员大规模灾难案件中进行身份识别。我们之前曾建议通过 Fisher 精确检验的似然比检验来评估感兴趣的谱的起源。似然比检验评估在两个竞争假设下数据的可能性,其中零假设假设感兴趣的谱与指定人群中的谱具有共同起源。然而,在混合血统个体的谱的情况下,存在增加的风险,即构成群体中的谱将被拒绝。似然比检验方法通过允许谱混合得到扩展,这意味着感兴趣的谱是来自两个群体的谱的混合物。期望最大化(EM)算法用于处理杂合标记等位基因分配的歧义。为了演示该方法,使用八个全球元群体中的 AIMs 基因型模拟混合谱。