The potential of human leukocyte antigen alleles to assist with multiple-contributor DNA mixtures: Proof of concept study.


Journal

Science & justice : journal of the Forensic Science Society
ISSN: 1876-4452
Titre abrégé: Sci Justice
Pays: England
ID NLM: 9508563

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 13 09 2023
revised: 19 07 2024
accepted: 04 08 2024
medline: 15 9 2024
pubmed: 15 9 2024
entrez: 14 9 2024
Statut: ppublish

Résumé

One of the most challenging issues still present in forensic DNA analysis is identifying individuals in samples containing DNA from multiple contributors. The introduction of novel identification markers may be a useful tool in the deconvolution of such DNA mixtures. In this study, we investigated the potential of alleles from the human leukocyte antigen system (HLA) to aid in identifying individuals in complex, multiple-donor DNA samples. The most advantageous characteristic of the HLA complex is its polymorphism in the human genome. A 22-loci multiplex with HLA markers was designed and applied to two-, three-, and four-person DNA mixtures. The results of the conducted experiments demonstrated that the identification of individuals in multiple contributor samples with the help of HLA markers is possible; however, it is clear that the reliability of the method is heavily dependent on the number of unique alleles for each individual in the analysed mixture. In order to compare this novel approach against the already established process, the same group of reference and multiple-contributor samples was analysed with a commonly used set of STR markers. This proof-of-concept research shows the importance of examining alternative solutions to the current deconvolution challenge in forensic DNA profiling.

Identifiants

pubmed: 39277335
pii: S1355-0306(24)00075-3
doi: 10.1016/j.scijus.2024.08.001
pii:
doi:

Substances chimiques

HLA Antigens 0
DNA 9007-49-2
Genetic Markers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

533-542

Informations de copyright

Copyright © 2024 The Authors. Published by 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

Agnieszka Kuffel (A)

Leverhulme Research Centre for Forensic Science, Fleming Gym Building, University of Dundee, Small's Wynd, Dundee, United Kingdom. Electronic address: akuffel001@dundee.ac.uk.

Christian Cole (C)

Health Informatics Centre, Division of Population and Health Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom. Electronic address: c.cole@dundee.ac.uk.

Benjamin Mallinder (B)

SPA Forensic Services, Rushton Court, 3 West Victoria Dock Road, Dundee, United Kingdom. Electronic address: ben.mallinder@spa.police.uk.

Niamh Nic Daeid (N)

Leverhulme Research Centre for Forensic Science, Fleming Gym Building, University of Dundee, Small's Wynd, Dundee, United Kingdom. Electronic address: n.nicdaeid@dundee.ac.uk.

Alexander Gray (A)

Leverhulme Research Centre for Forensic Science, Fleming Gym Building, University of Dundee, Small's Wynd, Dundee, United Kingdom. Electronic address: a.z.gray@dundee.ac.uk.

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Classifications MeSH