Evaluation of forensic genetics findings given activity level propositions: A review.

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State: Public
Version: author
Serval ID
serval:BIB_9965BA8943C2
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Evaluation of forensic genetics findings given activity level propositions: A review.
Journal
Forensic science international. Genetics
Author(s)
Taylor D., Kokshoorn B., Biedermann A.
ISSN
1878-0326 (Electronic)
ISSN-L
1872-4973
Publication state
Published
Issued date
09/2018
Peer-reviewed
Oui
Volume
36
Pages
34-49
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Abstract
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'.
Keywords
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
Yes
Create date
18/06/2018 12:01
Last modification date
20/08/2019 16:00
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