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使用ForenSeq DNA签名制备试剂盒和多种预测工具进行生物地理祖先分析。

Biogeographical Ancestry Analyses Using the ForenSeq DNA Signature Prep Kit and Multiple Prediction Tools.

作者信息

Salvo Nina Mjølsnes, Olsen Gunn-Hege, Berg Thomas, Janssen Kirstin

机构信息

Centre for Forensic Genetics, Department of Medical Biology, Faculty of Health Sciences, UiT The Arctic University of Norway, Post Box 6050, 9037 Tromsø, Norway.

出版信息

Genes (Basel). 2024 Apr 18;15(4):510. doi: 10.3390/genes15040510.

Abstract

The inference of biogeographical ancestry (BGA) can assist in police investigations of serious crime cases and help to identify missing people and victims of mass disasters. In this study, we evaluated the typing performance of 56 ancestry-informative SNPs in 177 samples using the ForenSeq™ DNA Signature Prep Kit on the MiSeq FGx system. Furthermore, we compared the prediction accuracy of the tools Universal Analysis Software v1.2 (UAS), the FROG-kb, and GenoGeographer when inferring the ancestry of 503 Europeans, 22 non-Europeans, and 5 individuals with co-ancestry. The kit was highly sensitive with complete aiSNP profiles in samples with as low as 250pg input DNA. However, in line with others, we observed low read depth and occasional drop-out in some SNPs. Therefore, we suggest not using less than the recommended 1ng of input DNA. FROG-kb and GenoGeographer accurately predicted both Europeans (99.6% and 91.8% correct, respectively) and non-Europeans (95.4% and 90.9% correct, respectively). The UAS was highly accurate when predicting Europeans (96.0% correct) but performed poorer when predicting non-Europeans (40.9% correct). None of the tools were able to correctly predict individuals with co-ancestry. Our study demonstrates that the use of multiple prediction tools will increase the prediction accuracy of BGA inference in forensic casework.

摘要

生物地理血统(BGA)推断有助于警方对严重犯罪案件进行调查,并有助于识别失踪人员和大规模灾难的受害者。在本研究中,我们使用MiSeq FGx系统上的ForenSeq™ DNA Signature Prep试剂盒评估了177个样本中56个血统信息单核苷酸多态性(SNP)的分型性能。此外,我们比较了通用分析软件v1.2(UAS)、FROG-kb和GenoGeographer在推断503名欧洲人、22名非欧洲人和5名具有混合血统个体的血统时的预测准确性。该试剂盒对低至250pg输入DNA的样本具有高度敏感性,可获得完整的aiSNP图谱。然而,与其他研究一致,我们观察到一些SNP的读取深度较低且偶尔会出现缺失。因此,我们建议输入DNA不要少于推荐的1ng。FROG-kb和GenoGeographer对欧洲人(分别为99.6%和91.8%正确)和非欧洲人(分别为95.4%和90.9%正确)的预测都很准确。UAS在预测欧洲人时准确率很高(96.0%正确),但在预测非欧洲人时表现较差(40.9%正确)。没有一个工具能够正确预测具有混合血统的个体。我们的研究表明,在法医案件工作中使用多种预测工具将提高BGA推断的预测准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaee/11050699/9fb17a73bffb/genes-15-00510-g001.jpg

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