Experience based efficient approach for DNA-led identification of highly carbonized human remains.

IF 2.2 3区 医学 Q1 MEDICINE, LEGAL Forensic science international Pub Date : 2024-12-24 DOI:10.1016/j.forsciint.2024.112359
Denise Gianfreda, Beatrice Corradini, Gianmarco Ferri, Francesca Ferrari, Ilaria Borciani, Rossana Cecchi, Anna Laura Santunione
{"title":"Experience based efficient approach for DNA-led identification of highly carbonized human remains.","authors":"Denise Gianfreda, Beatrice Corradini, Gianmarco Ferri, Francesca Ferrari, Ilaria Borciani, Rossana Cecchi, Anna Laura Santunione","doi":"10.1016/j.forsciint.2024.112359","DOIUrl":null,"url":null,"abstract":"<p><p>In case of severely burned bodies, victim identification by visual or fingerprints recognition is often prevented by altered body conditions. To overcome these circumstances, different techniques are available. Among these, the most reliable is molecular identification, especially in cases of detached body parts. However, DNA analysis of highly burned remains is a very challenging task. The high temperatures reached at the time of burning can lead to the complete destruction of the genetic material, making DNA typing arduous. This work presented a successful identification through molecular analysis of 11 heavily carbonized victims assigned to the Institute of Legal Medicine of Modena (Italy) between June 2022 and June 2023: a helicopter crash, a femicide and two car accidents. Post-mortem (PM) and ante-mortem (AM) data were compared, allowing victims' identification and their quick return to relatives. Complete autosomal and Y chromosome STRs profiles were obtained for all the corpses. For the helicopter crash case, the utility of the DVI module implemented in the Familias software is shown as this aid the fast association of the seven victims involved with the familiar references available for identification. The importance of the sampling strategy and the need of a systematic approach to select the most promising biological material for a more successful downstream DNA-based identification is also highlighted.</p>","PeriodicalId":12341,"journal":{"name":"Forensic science international","volume":"367 ","pages":"112359"},"PeriodicalIF":2.2000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic science international","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.forsciint.2024.112359","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0

Abstract

In case of severely burned bodies, victim identification by visual or fingerprints recognition is often prevented by altered body conditions. To overcome these circumstances, different techniques are available. Among these, the most reliable is molecular identification, especially in cases of detached body parts. However, DNA analysis of highly burned remains is a very challenging task. The high temperatures reached at the time of burning can lead to the complete destruction of the genetic material, making DNA typing arduous. This work presented a successful identification through molecular analysis of 11 heavily carbonized victims assigned to the Institute of Legal Medicine of Modena (Italy) between June 2022 and June 2023: a helicopter crash, a femicide and two car accidents. Post-mortem (PM) and ante-mortem (AM) data were compared, allowing victims' identification and their quick return to relatives. Complete autosomal and Y chromosome STRs profiles were obtained for all the corpses. For the helicopter crash case, the utility of the DVI module implemented in the Familias software is shown as this aid the fast association of the seven victims involved with the familiar references available for identification. The importance of the sampling strategy and the need of a systematic approach to select the most promising biological material for a more successful downstream DNA-based identification is also highlighted.

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
求助全文
约1分钟内获得全文 去求助
来源期刊
Forensic science international
Forensic science international 医学-医学:法
CiteScore
5.00
自引率
9.10%
发文量
285
审稿时长
49 days
期刊介绍: Forensic Science International is the flagship journal in the prestigious Forensic Science International family, publishing the most innovative, cutting-edge, and influential contributions across the forensic sciences. Fields include: forensic pathology and histochemistry, chemistry, biochemistry and toxicology, biology, serology, odontology, psychiatry, anthropology, digital forensics, the physical sciences, firearms, and document examination, as well as investigations of value to public health in its broadest sense, and the important marginal area where science and medicine interact with the law. The journal publishes: Case Reports Commentaries Letters to the Editor Original Research Papers (Regular Papers) Rapid Communications Review Articles Technical Notes.
期刊最新文献
Investigating 3-CMC metabolism: Insights from liver microsomes and postmortem biological matrix. Identification and discrimination of human keratinized tissues using ATR-FTIR and chemometrics. Impact of thermal exposure on deciduous teeth: A comparative analysis with permanent teeth. Preliminary study of gunshot residues in entry holes at different angles: Feasibility of using LIBS to support trajectory estimation. Experience based efficient approach for DNA-led identification of highly carbonized human remains.
×
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