DNA Profiles from Fingerprint Lifts-Enhancing the Evidential Value of Fingermarks Through Successful DNA Typing.


Journal

Journal of forensic sciences
ISSN: 1556-4029
Titre abrégé: J Forensic Sci
Pays: United States
ID NLM: 0375370

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 13 10 2017
revised: 23 04 2018
accepted: 08 05 2018
pubmed: 26 5 2018
medline: 27 1 2019
entrez: 26 5 2018
Statut: ppublish

Résumé

This study evaluated the compatibility of the most common enhancement methods and lifting techniques with DNA profiling. Emphasis is placed on modern lifting techniques (i.e., gelatin lifters and Isomark™) and historical fingerprint lifts for which limited research has been previously conducted. A total of 180 fingerprints were deposited on a glass surface, enhanced, lifted, and processed for DNA typing. DNA could be extracted and profiled for all the powders and lifts tested and from both groomed fingerprints and natural prints with no significant difference in the percentage of profile recovered. DNA profiles could also be obtained from historical fingerprint lifts (79.2% of 72 lifts) with one or more alleles detected. These results demonstrate the compatibility between different powder/lift combinations and DNA profiling therefore augmenting the evidential value of fingerprints in forensic casework.

Identifiants

pubmed: 29800489
doi: 10.1111/1556-4029.13830
doi:

Substances chimiques

Powders 0
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

201-206

Informations de copyright

© 2018 American Academy of Forensic Sciences.

Auteurs

Zuhaib Subhani (Z)

Department of Analytical, Environmental and Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, 150 Stamford Street, London, SE1 9NH, U.K.

Barbara Daniel (B)

Department of Analytical, Environmental and Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, 150 Stamford Street, London, SE1 9NH, U.K.

Nunzianda Frascione (N)

Department of Analytical, Environmental and Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, 150 Stamford Street, London, SE1 9NH, U.K.

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Classifications MeSH