Evaluation of forensic genetics findings given activity level propositions: A review.
Détails
Télécharger: TaylorKokshoornBiedermann_2018_Authorversion.pdf (991.40 [Ko])
Etat: Public
Version: de l'auteur⸱e
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_9965BA8943C2
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Evaluation of forensic genetics findings given activity level propositions: A review.
Périodique
Forensic science international. Genetics
ISSN
1878-0326 (Electronic)
ISSN-L
1872-4973
Statut éditorial
Publié
Date de publication
09/2018
Peer-reviewed
Oui
Volume
36
Pages
34-49
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Publication Status: ppublish
Résumé
The evaluation of results of forensic genetic analyses given activity level propositions is an emerging discipline in forensic genetics. Although it is a topic with a long history, it has never been considered to be such a critically important topic for the field, as today. With the increasing sensitivity of analysis techniques, and advances in data interpretation using probabilistic models ('probabilistic genotyping'), there is an increasing demand on forensic biologists to share specialised knowledge to help recipients of expert information address mode and timing of transfer and persistence of traces in court. Scientists thereby have a critical role in the assessment of their findings in the context of the case. This helps the judiciary with activity level inferences in a balanced, robust and transparent way, when based on (1) proper case assessment and interpretation respecting the hierarchy of propositions (supported by, for example, the use of Bayesian networks as graphical models), (2) use of appropriate data to inform probabilities, and (3) reporting guidelines by international bodies. This critical review of current literature shows that with certain prerequisites for training and quality assurance, there is a solid foundation for evidence interpretation when propositions of interest are at the 'activity level'.
Mots-clé
Evidence evaluation, Bayesian networks, Likelihood ratio, DNA, activity level propositions, Activity level propositions, Bayesian networks, DNA, Evidence evaluation, Likelihood ratio
Pubmed
Web of science
Open Access
Oui
Création de la notice
18/06/2018 11:01
Dernière modification de la notice
21/11/2022 8:16