Literature DB >> 19083848

Enhancing accurate data collection in mass fatality kinship identifications: lessons learned from Hurricane Katrina.

Sandra Donkervoort1, Siobhan M Dolan, Michelle Beckwith, Tammy Pruet Northrup, Amanda Sozer.   

Abstract

A mass fatality DNA identification effort is a complex process in which direct matching and kinship analysis is used for identifying human remains. Kinship DNA identification is an important tool in the identification process in which victim's DNA profiles are compared to the profiles of "known" biologically related reference samples. Experience from the 9/11 World Trade Center DNA identification efforts showed that forms used to record biological relationships are important and that inaccurately documented information may hamper the kinship analysis and DNA identification process. In the identification efforts following Hurricane Katrina, a Family and/or Donor Reference Collection (FDRC) form was used as a means to document the reported relationship between the reference DNA donor and the purported missing individual. This FDRC form was developed based upon lessons learned from 9/11 and the Tsunami identification efforts. This paper analyses the effectiveness of the FDRC form used in the Hurricane Katrina kinship DNA identification efforts and proposes an improved sample collection form for kinship and other donor reference samples. The data presented can be used to enhance the accuracy of the data collection process through an improved sample collection form, streamlining the DNA kinship identification process and decreasing the burden on valuable resources.

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Year:  2008        PMID: 19083848     DOI: 10.1016/j.fsigen.2008.05.008

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


  6 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

2.  The strategies to DVI challenges in Typhoon Morakot.

Authors:  Chun-Yen Lin; Tsun-Ying Huang; Hsuan-Cheng Shih; Chiao-Hsuan Yuan; Liang-Ju Chen; Hua-Sheng Tsai; Chih-Hsin Pan; Hui-Ming Chiang; Hsin-Lin Liu; Wen-Chi Su; Kun-Tien Wu; Chi-Hsiang Chao; Nu-En Huang; Kun-Da Yang; Hsing-Mei Hsieh; Li-Chin Tsai; Adrian Linacre; Yu-Jen Yu; Yen-Yang Lin; Pao-Ching Chu; James Chun-I Lee
Journal:  Int J Legal Med       Date:  2010-06-16       Impact factor: 2.686

3.  Incidental findings in the use of DNA to identify human remains: an ethical assessment.

Authors:  Lisa S Parker; Alex John London; Jay D Aronson
Journal:  Forensic Sci Int Genet       Date:  2012-10-30       Impact factor: 4.882

4.  Improved Y-STR typing for disaster victim identification, missing persons investigations, and historical human skeletal remains.

Authors:  Angie Ambers; Jitka Votrubova; Daniel Vanek; Antti Sajantila; Bruce Budowle
Journal:  Int J Legal Med       Date:  2018-02-23       Impact factor: 2.686

5.  The 2018 California Wildfires: Integration of Rapid DNA to Dramatically Accelerate Victim Identification.

Authors:  Kim Gin; Jason Tovar; Eric J Bartelink; Ashley Kendell; Colleen Milligan; P Willey; James Wood; Eugene Tan; Rosemary S Turingan; Richard F Selden
Journal:  J Forensic Sci       Date:  2020-03-03       Impact factor: 1.832

6.  Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach.

Authors:  Inés Caridi; Enrique E Alvarez; Carlos Somigliana; Mercedes Salado Puerto
Journal:  Sci Rep       Date:  2020-03-19       Impact factor: 4.379

  6 in total

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