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

Autor: Gettings KB; National Institute of Standards and Technology, Gaithersburg, Maryland, USA., Tillmar A; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden., Sturk-Andreaggi K; Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), 10 Defense Health Agency, Dover Air Force Base, Dover, Delaware, USA.; SNA International, LLC (Contractor Supporting the AFMES-AFDIL), Alexandria, Virginia, USA., Marshall C; Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), 10 Defense Health Agency, Dover Air Force Base, Dover, Delaware, USA.; Forensic Science Program, The Pennsylvania State University, State College, Pennsylvania, USA.
Jazyk: angličtina
Zdroj: Journal of forensic sciences [J Forensic Sci] 2024 Sep; Vol. 69 (5), pp. 1546-1557. Date of Electronic Publication: 2024 Jul 17.
DOI: 10.1111/1556-4029.15585
Abstrakt: 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.
(© 2024 The Author(s). Journal of Forensic Sciences published by Wiley Periodicals LLC on behalf of American Academy of Forensic Sciences.)
Databáze: MEDLINE
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