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

IF 1.5 4区 医学 Q2 MEDICINE, LEGAL Journal of forensic sciences Pub Date : 2024-07-17 DOI:10.1111/1556-4029.15585
Katherine Butler Gettings PhD, Andreas Tillmar PhD, Kimberly Sturk-Andreaggi PhD, Charla Marshall PhD
{"title":"Review of SNP assays for disaster victim identification: Cost, time, and performance information for decision-makers","authors":"Katherine Butler Gettings PhD,&nbsp;Andreas Tillmar PhD,&nbsp;Kimberly Sturk-Andreaggi PhD,&nbsp;Charla Marshall PhD","doi":"10.1111/1556-4029.15585","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":15743,"journal":{"name":"Journal of forensic sciences","volume":"69 5","pages":"1546-1557"},"PeriodicalIF":1.5000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1556-4029.15585","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of forensic sciences","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.15585","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
灾难受害者鉴定的 SNP 检测方法回顾:为决策者提供成本、时间和性能信息。
在大规模灾难事件中,法医 DNA 实验室可能会被要求迅速将其业务转向确认尸体身份和帮助遗体与家人团聚。理想的情况是,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,单核苷酸多态性(SNPs)可能更适合这些灾难受害者身份识别(DVI)方案,因为它们的基因组目标大小较小,从而提高了降解 DNA 样本的成功率。随着DNA测序技术的发展,许多法医实验室现在都拥有了可用于大规模并行测序(MPS)的台式仪器,从而促进了从常规法医STR案件工作到DVI SNP分型的操作转移。在本文中,我们介绍了可用于 DVI 的商用 SNP 测序方法,利用数据模拟探讨了不同规模 SNP 面板的亲缘关系预测潜力,并举例说明了 DVI 情景,以此为背景介绍了考虑因素矩阵:亲缘关系预测潜力、成本和当前 SNP 测定选项的吞吐量。这些信息旨在帮助实验室选择用于备灾的 SNP 系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of forensic sciences
Journal of forensic sciences 医学-医学:法
CiteScore
4.00
自引率
12.50%
发文量
215
审稿时长
2 months
期刊介绍: The Journal of Forensic Sciences (JFS) is the official publication of the American Academy of Forensic Sciences (AAFS). It is devoted to the publication of original investigations, observations, scholarly inquiries and reviews in various branches of the forensic sciences. These include anthropology, criminalistics, digital and multimedia sciences, engineering and applied sciences, pathology/biology, psychiatry and behavioral science, jurisprudence, odontology, questioned documents, and toxicology. Similar submissions dealing with forensic aspects of other sciences and the social sciences are also accepted, as are submissions dealing with scientifically sound emerging science disciplines. The content and/or views expressed in the JFS are not necessarily those of the AAFS, the JFS Editorial Board, the organizations with which authors are affiliated, or the publisher of JFS. All manuscript submissions are double-blind peer-reviewed.
期刊最新文献
Issue Information A preliminary study of the manufacturing of breech faces The application of GIS technology in building a multivariate taphonomic profile for improving PMI estimations in Greece Determining the sequence of intersecting lines formed by laser printer toner and seal ink based on confocal Raman spectroscopy Barbie drug identification: Not a child's play
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1