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利用通用分析软件 (UAS) 和现有网络工具评估 ForenSeq™ Signature Prep Kit B 对预测眼睛和头发颜色以及生物地理祖籍的效果。

Evaluation of ForenSeq™ Signature Prep Kit B on predicting eye and hair coloration as well as biogeographical ancestry by using Universal Analysis Software (UAS) and available web-tools.

机构信息

Office of Chief Medical Examiner, Department of Forensic Biology, New York, NY, USA.

出版信息

Electrophoresis. 2019 May;40(9):1353-1364. doi: 10.1002/elps.201800344. Epub 2019 Feb 15.

DOI:10.1002/elps.201800344
PMID:30767247
Abstract

This study examined 266 individuals from various populations including African American, East Asian, South Asian, European, and mixed populations to evaluate the ForenSeq™ Signature Prep Kit Primer Mix B. Focus was placed on phenotypic and biogeographical ancestry predictions by Illumina's Universal Analysis Software (UAS). These outcomes were compared to those obtained through web-tools developed at the Erasmus Medical Center (EMC) and available from the Forensic Resource/Reference on Genetics-knowledge base (FROG-kb), as well as to eye color predictions by the 8-plex system. Due to drop-outs, predictions for eye and hair color by UAS failed for various samples in each run. By including reads below thresholds, predictions could be obtained for all samples through the web-tools. Eye and hair color predictions for African Americans, East Asians, and South Asians showed no errors. Difficulties however, were noted in intermediate (neither blue nor brown) eye color predictions. These were mitigated by the 8-plex system through exclusion of one eye color (e.g. "not brown"). Additionally, notable discrepancies were observed in hair color predictions, where some black/dark-brown haired individuals were predicted to have blond hair. Overall, ancestry predictions were more accurate by FROG-kb compared to UAS, which did not predict South Asian ancestry, particularly Indian individuals.

摘要

本研究对来自不同人群的 266 个人进行了研究,包括非裔美国人、东亚人、南亚人、欧洲人和混合人群,以评估 ForenSeq™ Signature Prep Kit Primer Mix B。研究重点是 Illumina 的通用分析软件 (UAS) 对表型和生物地理祖先的预测。将这些结果与在 Erasmus Medical Center (EMC) 开发的网络工具以及来自法医资源/参考遗传学知识库 (FROG-kb) 的结果进行了比较,还与 8 plex 系统的眼睛颜色预测进行了比较。由于数据缺失,UAS 对眼睛和头发颜色的预测在每个运行中都未能对各种样本进行预测。通过包括低于阈值的读数,可以通过网络工具获得所有样本的预测。非裔美国人、东亚人和南亚人的眼睛和头发颜色预测没有错误。然而,在中间(既不是蓝色也不是棕色)眼睛颜色预测方面存在困难。8 plex 系统通过排除一种眼睛颜色(例如“非棕色”)来缓解这些问题。此外,在头发颜色预测方面观察到明显的差异,一些黑/深棕色头发的人被预测为金发。总体而言,与 UAS 相比,FROG-kb 的祖先预测更准确,UAS 无法预测南亚血统,尤其是印度人。

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