Title |
DNA Identification of Commingled Human Remains from the Cemetery Relocated by Flooding in Central Bosnia and Herzegovina
|
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Published in |
Journal of Forensic Sciences (Blackwell Publishing Limited), May 2017
|
DOI | 10.1111/1556-4029.13535 |
Pubmed ID | |
Authors |
Jasmina Čakar, Amela Pilav, Mirela Džehverović, Anesa Ahatović, Sanin Haverić, Jasmin Ramić, Damir Marjanović |
Abstract |
The floods in Bosnia and Herzegovina in May 2014 caused landslides all over the country. In the small village of Šerići, near the town of Zenica, a landslide destroyed the local cemetery, relocated graves, and commingled skeletal remains. As the use of other physical methods of identification (facial recognition, fingerprint analysis, dental analysis, etc.) was not possible, DNA analysis was applied. DNA was isolated from 20 skeletal remains (bone and tooth samples) and six reference samples (blood from living relatives) and amplified using PowerPlex(®) Fusion and PowerPlex(®) Y23 kits. DNA profiles were generated for all reference samples and 17 skeletal remains. A statistical analysis (calculation of paternity, maternity, and sibling indexes and matching probabilities) resulted in 10 positive identifications. In this study, 5 individuals were identified based on one reference sample. This has once again demonstrated the significance of DNA analysis in resolving the most complicated cases, such as the identification of commingled human skeletal remains. |
X Demographics
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 21% |
Student > Ph. D. Student | 6 | 21% |
Professor | 3 | 10% |
Student > Bachelor | 2 | 7% |
Researcher | 2 | 7% |
Other | 5 | 17% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 9 | 31% |
Agricultural and Biological Sciences | 5 | 17% |
Social Sciences | 4 | 14% |
Medicine and Dentistry | 2 | 7% |
Arts and Humanities | 1 | 3% |
Other | 0 | 0% |
Unknown | 8 | 28% |