Developing an interpretation model for body fluid identification.

Body fluididentification MRNA profiling Probabilistic interpretation method Quantitative PCR

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
22 Apr 2024
Historique:
received: 27 02 2024
revised: 14 04 2024
accepted: 18 04 2024
medline: 1 5 2024
pubmed: 1 5 2024
entrez: 30 4 2024
Statut: aheadofprint

Résumé

Criminal investigations, particularly sexual assaults, frequently require the identification of body fluid type in addition to body fluid donor to provide context. In most cases this can be achieved by conventional methods, however, in certain scenarios, alternative molecular methods are required. An example of this is the detection of menstrual fluid and vaginal material, which are not able to be identified using conventional techniques. Endpoint reverse-transcription PCR (RT-PCR) is currently used for this purpose to amplify body fluid specific messenger RNA (mRNA) transcripts in forensic casework. Real-time quantitative reverse-transcription PCR (RT-qPCR) is a similar method but utilises fluorescent markers to generate quantitative results in the form of threshold cycle (C

Identifiants

pubmed: 38688209
pii: S0379-0738(24)00113-0
doi: 10.1016/j.forsciint.2024.112032
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112032

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Courtney R H Lynch (CRH)

Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland, New Zealand; School of Chemistry, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand. Electronic address: courtney.lynch@esr.cri.nz.

Rachel Fleming (R)

Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland, New Zealand.

James M Curran (JM)

Department of Statistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Classifications MeSH