Total allele count distribution (TAC curves) improves number of contributor estimation for complex DNA mixtures

Josée Noël, S. Noël, F. Mailly, Dominic Granger, J. Lefebvre, E. Milot, Diane Séguin
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引用次数: 2

Abstract

Abstract As the forensic community is transitioning to probabilistic genotyping and the use of likelihood ratios to assign probative weight to DNA mixtures, the assessment of the number of contributors (NOC) needs to be more robust for mixture interpretation. However, NOC assessment can be challenging for low-template and/or high order mixtures. Here, we present a quick and easy-to-use tool to help with NOC estimation: total allele count curves (TAC curves). TAC curves for two to seven contributors were generated using sets of 20,000 in silico mixtures, for five populations (African American, Caucasian, Asian, Apache and Native Alaska) and for commonly used commercial STR kits (GlobalFilerTM, PowerPlex® Fusion, PowerPlex® ESX 17 and IdentifilerTM). To assess the performance of TAC curves, the NOC was evaluated for 80 mixtures, with and without use of the curves. Results show that TAC curves allow for a better NOC assessment as correct evaluations rose from 10% when using maximal allele count (MAC) to 65% when also using TAC for four to six contributor mixtures. Supplemental data for this article is available online at http://dx.doi.org/10.1080/00085030.2022.2028359 .
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总等位基因计数分布(TAC曲线)改善了复杂DNA混合物的贡献者数量估计
摘要随着法医学界正在向概率基因分型和使用似然比为DNA混合物分配证明权重过渡,对贡献者数量(NOC)的评估需要对混合物的解释更加稳健。然而,对于低模板和/或高阶混合物,NOC评估可能具有挑战性。在这里,我们提供了一个快速易用的工具来帮助NOC估计:总等位基因计数曲线(TAC曲线)。两到七个贡献者的TAC曲线是使用20000组计算机混合物生成的,用于五个群体(非裔美国人、高加索人、亚洲人、阿帕奇人和阿拉斯加原住民)和常用的商业STR试剂盒(GlobalFilerTM、PowerPlex®Fusion、PowerPlex™ESX 17和IdentifierTM)。为了评估TAC曲线的性能,在使用和不使用曲线的情况下,对80种混合物的NOC进行了评估。结果表明,TAC曲线允许更好的NOC评估,因为正确的评估从使用最大等位基因计数(MAC)时的10%上升到同样使用TAC的四至六个贡献者混合物时的65%。本文的补充数据可在线获取,网址为http://dx.doi.org/10.1080/00085030.2022.2028359。
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