SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Lin CY, Huang TY, Shih HC, Yuan CH, Chen LJ, Tsai HS, Pan CH, Chiang HM, Liu HL, Su WC, Wu KT, Chao CH, Huang NE, Yang KD, Hsieh HM, Tsai LC, Linacre A, Yu YJ, Lin YY, Chu PC, Lee JC. Int. J. Legal Med. 2011; 125(5): 637-641.

Affiliation

Institute of Forensic Medicine, Ministry of Justice, No. 166-1 Keelung Road Section 2, Taipei, 10675, Taiwan, Republic of China.

Copyright

(Copyright © 2011, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s00414-010-0479-8

PMID

20552214

Abstract

Small village populations in which there is a high amount of kinship can cause complications in cases of disaster victim identification. This problem was highlighted by the loss of life after Typhoon Morakot struck Taiwan where over 500 people from small isolated communities lost their lives. Most of the victims were buried by landslides in the remote mountainous areas of southern Taiwan. Only 146 pieces of human remains were recovered after searching for 4 months. Most of the human remains were received for examination as severely damaged fragments prevented possible identification by morphological features. DNA testing using the traditional duo parent/child or sibling screening by STR data opens the possibility of including not only the actual victim but also false positives. Variable likelihood ratios were obtained when comparing DNA types from human remains to those from potential relatives; however, with the DNA typing of numerous members of the same living family, multiple matches to potential families were avoided. Of the 146 samples obtained and collapsed to 130 victims, they were linked to 124 individuals resulting in their identification when compared to a pool of 588 potential relatives. Six of the human remains could not be linked to any living relative and remain unknown.


Language: en

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print