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Disaster Victim Investigation Recommendations From Two Simulated Mass Disaster Scenarios Utilized for User Acceptance Testing CODIS 6.0

NCJ Number
235375
Journal
Forensic Science International: Genetics Volume: 5 Issue: 4 Dated: August 2011 Pages: 291-296
Author(s)
Laurie Bradford; Jennifer Heal; Jeff Anderson; Nichole Faragher; Kristin Duval; Sylvain Lalonde
Date Published
August 2011
Length
6 pages
Annotation
This study used two simulated mass disaster scenarios to test the searching capabilities of the Combined DNA Index System (CODIS) 6.0.
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 U.S. 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. (Published Abstract)