Literature DB >> 20620126

Disaster victim investigation recommendations from two simulated mass disaster scenarios utilized for user acceptance testing CODIS 6.0.

Laurie Bradford1, Jennifer Heal, Jeff Anderson, Nichole Faragher, Kristin Duval, Sylvain Lalonde.   

Abstract

Members of the National DNA Data Bank (NDDB) of Canada designed and searched two simulated mass disaster (MD) scenarios for User Acceptance Testing (UAT) of the Combined DNA Index System (CODIS) 6.0, developed by the Federal Bureau of Investigation (FBI) and the US Department of Justice. A simulated airplane MD and inland Tsunami MD were designed representing a closed and open environment respectively. An in-house software program was written to randomly generate DNA profiles from a mock Caucasian population database. As part of the UAT, these two MDs were searched separately using CODIS 6.0. The new options available for identity and pedigree searching in addition to the inclusion of mitochondrial DNA (mtDNA) and Y-STR (short tandem repeat) information in CODIS 6.0, led to rapid identification of all victims. A Joint Pedigree Likelihood Ratio (JPLR) was calculated from the pedigree searches and ranks were stored in Rank Manager providing confidence to the user in assigning an Unidentified Human Remain (UHR) to a pedigree tree. Analyses of the results indicated that primary relatives were more useful in Disaster Victim Identification (DVI) compared to secondary or tertiary relatives and that inclusion of mtDNA and/or Y-STR technologies helped to link family units together as shown by the software searches. It is recommended that UHRs have as many informative loci possible to assist with their identification. CODIS 6.0 is a valuable technological tool for rapidly and confidently identifying victims of mass disasters. Crown
Copyright © 2010. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20620126     DOI: 10.1016/j.fsigen.2010.05.005

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  1 in total

Review 1.  DNA analysis in Disaster Victim Identification.

Authors:  Kerstin Montelius; Bertil Lindblom
Journal:  Forensic Sci Med Pathol       Date:  2011-10-19       Impact factor: 2.007

  1 in total

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