Optimized mass fatalities victim identification: an airplane crash as a test case
- Autores
- Corach, Daniel; Sala, Adriana Andrea; Bobillo, Maria Cecilia; Caputo, Mariela; Alechine, Evguenia; Irisarri, Maximiliano; Marino, M.; Canonaco, Enzo; Rodriguez, C.
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Efficient corpse tissue preservation, automated DNA extraction, sensitive DNA quantification and expert analysis software makes possible to design highly efficient workflows that speed up the mass disaster victim identification process from highly fragmented human bodies. Herein we describe the workflow employed in the reconstruction of the identity of 22 victims fragmented in 418 remains that emerged from the airplane crash occurred on May 18th 2011 in the province of Rio Negro, Argentina. Fatal victims identification was performed by comparison with first degree relatives by autosomal and Y STRs analysis. A SAAB plane carrying 19 passengers and three crew members (3 females and 19 males) exploded at high altitude over the ground level (approx. 2000 m). All bodies were severely fragmented and a high number of isolated cranial bones were found. Remains were collected at the disaster area and sent to Buenos Aires where samples were selected and preserved in 50 mL polypropylene tubes containing solid sodium chloride (table salt). DNA extractions from muscle and bone were performed using a semi-automated DNA purification system, quantification was carried out by Real Time PCR, STRs amplification using commercial kits and STR profile analysis with the help of an expert software. The implementation of this strategy allowed us to identify all the victims in one week. However, the complete task of identifying all remains recovered within the disaster area took over ten months due to the wide dispersion of fragments and the court's decision to identify each morphologically recognizable human tissue found within the disaster area.
Fil: Corach, Daniel. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sala, Adriana Andrea. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bobillo, Maria Cecilia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Caputo, Mariela. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alechine, Evguenia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Irisarri, Maximiliano. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Marino, M.. Provincia de Mendoza. Poder Judicial de la Provincia de Mendoza. Laboratorio de ADN; Argentina
Fil: Canonaco, Enzo. Corte Suprema de Justicia de la Nación. Cuerpo Medico Forense; Argentina
Fil: Rodriguez, C.. Corte Suprema de Justicia de la Nación. Cuerpo Medico Forense; Argentina - Materia
-
Mass Fatalities Victim Identification
Autosomal Strs
Y-Strs
Expert Software - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/15890
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Optimized mass fatalities victim identification: an airplane crash as a test caseCorach, DanielSala, Adriana AndreaBobillo, Maria CeciliaCaputo, MarielaAlechine, EvgueniaIrisarri, MaximilianoMarino, M.Canonaco, EnzoRodriguez, C.Mass Fatalities Victim IdentificationAutosomal StrsY-StrsExpert Softwarehttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3Efficient corpse tissue preservation, automated DNA extraction, sensitive DNA quantification and expert analysis software makes possible to design highly efficient workflows that speed up the mass disaster victim identification process from highly fragmented human bodies. Herein we describe the workflow employed in the reconstruction of the identity of 22 victims fragmented in 418 remains that emerged from the airplane crash occurred on May 18th 2011 in the province of Rio Negro, Argentina. Fatal victims identification was performed by comparison with first degree relatives by autosomal and Y STRs analysis. A SAAB plane carrying 19 passengers and three crew members (3 females and 19 males) exploded at high altitude over the ground level (approx. 2000 m). All bodies were severely fragmented and a high number of isolated cranial bones were found. Remains were collected at the disaster area and sent to Buenos Aires where samples were selected and preserved in 50 mL polypropylene tubes containing solid sodium chloride (table salt). DNA extractions from muscle and bone were performed using a semi-automated DNA purification system, quantification was carried out by Real Time PCR, STRs amplification using commercial kits and STR profile analysis with the help of an expert software. The implementation of this strategy allowed us to identify all the victims in one week. However, the complete task of identifying all remains recovered within the disaster area took over ten months due to the wide dispersion of fragments and the court's decision to identify each morphologically recognizable human tissue found within the disaster area.Fil: Corach, Daniel. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sala, Adriana Andrea. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bobillo, Maria Cecilia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Caputo, Mariela. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Alechine, Evguenia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Irisarri, Maximiliano. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marino, M.. Provincia de Mendoza. Poder Judicial de la Provincia de Mendoza. Laboratorio de ADN; ArgentinaFil: Canonaco, Enzo. Corte Suprema de Justicia de la Nación. Cuerpo Medico Forense; ArgentinaFil: Rodriguez, C.. Corte Suprema de Justicia de la Nación. Cuerpo Medico Forense; ArgentinaElsevier Ireland2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/15890Corach, Daniel; Sala, Adriana Andrea; Bobillo, Maria Cecilia; Caputo, Mariela; Alechine, Evguenia; et al.; Optimized mass fatalities victim identification: an airplane crash as a test case; Elsevier Ireland; Forensic Science International: Genetics Supplement Series; 4; 1; 11-2013; e222-e2231875-1741enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1875176813001157info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fsigss.2013.10.114info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:58:12Zoai:ri.conicet.gov.ar:11336/15890instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:58:12.588CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Optimized mass fatalities victim identification: an airplane crash as a test case |
title |
Optimized mass fatalities victim identification: an airplane crash as a test case |
spellingShingle |
Optimized mass fatalities victim identification: an airplane crash as a test case Corach, Daniel Mass Fatalities Victim Identification Autosomal Strs Y-Strs Expert Software |
title_short |
Optimized mass fatalities victim identification: an airplane crash as a test case |
title_full |
Optimized mass fatalities victim identification: an airplane crash as a test case |
title_fullStr |
Optimized mass fatalities victim identification: an airplane crash as a test case |
title_full_unstemmed |
Optimized mass fatalities victim identification: an airplane crash as a test case |
title_sort |
Optimized mass fatalities victim identification: an airplane crash as a test case |
dc.creator.none.fl_str_mv |
Corach, Daniel Sala, Adriana Andrea Bobillo, Maria Cecilia Caputo, Mariela Alechine, Evguenia Irisarri, Maximiliano Marino, M. Canonaco, Enzo Rodriguez, C. |
author |
Corach, Daniel |
author_facet |
Corach, Daniel Sala, Adriana Andrea Bobillo, Maria Cecilia Caputo, Mariela Alechine, Evguenia Irisarri, Maximiliano Marino, M. Canonaco, Enzo Rodriguez, C. |
author_role |
author |
author2 |
Sala, Adriana Andrea Bobillo, Maria Cecilia Caputo, Mariela Alechine, Evguenia Irisarri, Maximiliano Marino, M. Canonaco, Enzo Rodriguez, C. |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
Mass Fatalities Victim Identification Autosomal Strs Y-Strs Expert Software |
topic |
Mass Fatalities Victim Identification Autosomal Strs Y-Strs Expert Software |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.5 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Efficient corpse tissue preservation, automated DNA extraction, sensitive DNA quantification and expert analysis software makes possible to design highly efficient workflows that speed up the mass disaster victim identification process from highly fragmented human bodies. Herein we describe the workflow employed in the reconstruction of the identity of 22 victims fragmented in 418 remains that emerged from the airplane crash occurred on May 18th 2011 in the province of Rio Negro, Argentina. Fatal victims identification was performed by comparison with first degree relatives by autosomal and Y STRs analysis. A SAAB plane carrying 19 passengers and three crew members (3 females and 19 males) exploded at high altitude over the ground level (approx. 2000 m). All bodies were severely fragmented and a high number of isolated cranial bones were found. Remains were collected at the disaster area and sent to Buenos Aires where samples were selected and preserved in 50 mL polypropylene tubes containing solid sodium chloride (table salt). DNA extractions from muscle and bone were performed using a semi-automated DNA purification system, quantification was carried out by Real Time PCR, STRs amplification using commercial kits and STR profile analysis with the help of an expert software. The implementation of this strategy allowed us to identify all the victims in one week. However, the complete task of identifying all remains recovered within the disaster area took over ten months due to the wide dispersion of fragments and the court's decision to identify each morphologically recognizable human tissue found within the disaster area. Fil: Corach, Daniel. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Sala, Adriana Andrea. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Bobillo, Maria Cecilia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Caputo, Mariela. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Alechine, Evguenia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Irisarri, Maximiliano. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Servicio de Huellas Digitales Genéticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Marino, M.. Provincia de Mendoza. Poder Judicial de la Provincia de Mendoza. Laboratorio de ADN; Argentina Fil: Canonaco, Enzo. Corte Suprema de Justicia de la Nación. Cuerpo Medico Forense; Argentina Fil: Rodriguez, C.. Corte Suprema de Justicia de la Nación. Cuerpo Medico Forense; Argentina |
description |
Efficient corpse tissue preservation, automated DNA extraction, sensitive DNA quantification and expert analysis software makes possible to design highly efficient workflows that speed up the mass disaster victim identification process from highly fragmented human bodies. Herein we describe the workflow employed in the reconstruction of the identity of 22 victims fragmented in 418 remains that emerged from the airplane crash occurred on May 18th 2011 in the province of Rio Negro, Argentina. Fatal victims identification was performed by comparison with first degree relatives by autosomal and Y STRs analysis. A SAAB plane carrying 19 passengers and three crew members (3 females and 19 males) exploded at high altitude over the ground level (approx. 2000 m). All bodies were severely fragmented and a high number of isolated cranial bones were found. Remains were collected at the disaster area and sent to Buenos Aires where samples were selected and preserved in 50 mL polypropylene tubes containing solid sodium chloride (table salt). DNA extractions from muscle and bone were performed using a semi-automated DNA purification system, quantification was carried out by Real Time PCR, STRs amplification using commercial kits and STR profile analysis with the help of an expert software. The implementation of this strategy allowed us to identify all the victims in one week. However, the complete task of identifying all remains recovered within the disaster area took over ten months due to the wide dispersion of fragments and the court's decision to identify each morphologically recognizable human tissue found within the disaster area. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/15890 Corach, Daniel; Sala, Adriana Andrea; Bobillo, Maria Cecilia; Caputo, Mariela; Alechine, Evguenia; et al.; Optimized mass fatalities victim identification: an airplane crash as a test case; Elsevier Ireland; Forensic Science International: Genetics Supplement Series; 4; 1; 11-2013; e222-e223 1875-1741 |
url |
http://hdl.handle.net/11336/15890 |
identifier_str_mv |
Corach, Daniel; Sala, Adriana Andrea; Bobillo, Maria Cecilia; Caputo, Mariela; Alechine, Evguenia; et al.; Optimized mass fatalities victim identification: an airplane crash as a test case; Elsevier Ireland; Forensic Science International: Genetics Supplement Series; 4; 1; 11-2013; e222-e223 1875-1741 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1875176813001157 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fsigss.2013.10.114 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Ireland |
publisher.none.fl_str_mv |
Elsevier Ireland |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613735890550784 |
score |
13.070432 |