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Human-Genetic Ancestry Inference and False Positives in Forensic Familial Searching

机译:人类遗传祖先推断和伪造在法院搜索中的假阳性

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摘要

In forensic familial search methods, a query DNA profile is tested against a database to determine if the query profile represents a close relative of a database entrant. One challenge for familial search is that the calculations may require specification of allele frequencies for the unknown population from which the query profile has originated. The choice of allele frequencies affects the rate at which non-relatives are erroneously classified as relatives, and allele-frequency misspecification can substantially inflate false positive rates compared to use of allele frequencies drawn from the same population as the query profile. Here, we use ancestry inference on the query profile to circumvent the high false positive rates that result from highly misspecified allele frequencies. In particular, we perform ancestry inference on the query profile and make use of allele frequencies based on its inferred genetic ancestry. In a test for sibling matches on profiles that represent unrelated individuals, we demonstrate that false positive rates for familial search with use of ancestry inference to specify the allele frequencies are similar to those seen when allele frequencies align with the population of origin of a profile. Because ancestry inference is possible to perform on query profiles, the extreme allele-frequency misspecifications that produce the highest false positive rates can be avoided. We discuss the implications of the results in the context of concerns about the forensic use of familial searching.
机译:在法医基本搜索方法中,针对数据库测试查询DNA配置文件以确定查询简档是否表示数据库参赛者的密切相对于。家庭搜索的一个挑战是计算可能需要对查询简档起源的未知群体的等位基因频率规范。等位基因频率的选择影响了非亲属被错误地被归类为亲属的速率,而等级频率误操作可以与使用与查询简介相同的人群的等位基因频率相比,相比,等位基频率误操作比基本充气。在这里,我们对查询配置文件使用祖先推断,以规避来自高度遗漏等位基因频率的高误呈速率。特别是,我们对查询简介进行祖先推断,并根据其推断的遗传祖先利用等位基因频率。在代表无关个人的简档上的兄弟姐妹匹配的测试中,我们证明了使用祖先推断来指定等位基因频率的家族式搜索的假阳性率与等位基因频率与轮廓的群体对齐时相似。因为祖先推断可以在查询配置文件上执行,所以可以避免产生最高误差率的极端等位基因频率误操作。我们讨论了结果在对家庭搜索法医使用的担忧的上下文中的影响。

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