Suppr超能文献

用于灾难遇难者身份识别的 SNP 检测法回顾:为决策者提供成本、时间和性能信息。

Review of SNP assays for disaster victim identification: Cost, time, and performance information for decision-makers.

机构信息

National Institute of Standards and Technology, Gaithersburg, Maryland, USA.

Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.

出版信息

J Forensic Sci. 2024 Sep;69(5):1546-1557. doi: 10.1111/1556-4029.15585. Epub 2024 Jul 17.

Abstract

In mass disaster events, forensic DNA laboratories may be called upon to quickly pivot their operations toward identifying bodies and reuniting remains with family members. Ideally, laboratories have considered this possibility in advance and have a plan in place. Compared with traditional short tandem repeat (STR) typing, single nucleotide polymorphisms (SNPs) may be better suited to these disaster victim identification (DVI) scenarios due to their small genomic target size, resulting in an improved success rate in degraded DNA samples. As the landscape of technology has shifted toward DNA sequencing, many forensic laboratories now have benchtop instruments available for massively parallel sequencing (MPS), facilitating this operational pivot from routine forensic STR casework to DVI SNP typing. Herein, we present the commercially available SNP sequencing assays amenable to DVI, we use data simulations to explore the potential for kinship prediction from SNP panels of varying sizes, and we give an example DVI scenario as context for presenting the matrix of considerations: kinship predictive potential, cost, and throughput of current SNP assay options. This information is intended to assist laboratories in choosing a SNP system for disaster preparedness.

摘要

在大规模灾难事件中,法医 DNA 实验室可能需要迅速调整其运作,以识别尸体并将遗骸与家属团聚。理想情况下,实验室已经提前考虑到这种可能性,并制定了相应的计划。与传统的短串联重复 (STR) 分型相比,由于单核苷酸多态性 (SNP) 的基因组靶标较小,因此更适合这些灾难受害者识别 (DVI) 场景,从而提高了降解 DNA 样本的成功率。随着技术格局向 DNA 测序转变,许多法医实验室现在都有可供大规模平行测序 (MPS) 使用的台式仪器,这有助于从常规法医 STR 案例工作顺利转向 DVI SNP 分型。在此,我们介绍了适用于 DVI 的商业 SNP 测序检测,我们使用数据模拟来探讨从不同大小的 SNP 面板进行亲属关系预测的可能性,并给出了一个 DVI 场景作为呈现考虑因素矩阵的背景:亲属关系预测潜力、成本和当前 SNP 检测选项的通量。这些信息旨在帮助实验室选择 SNP 系统以做好灾难准备。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验