From sub-source to source: Interpreting results of biological trace investigations using probabilistic models

The current method of reporting a putative cell type is based on a non-probabilistic assessment of test results by the forensic practitioner. Additionally, the association between donor and cell type in mixed DNA profiles can be exceedingly complex. We present a probabilistic model for interpretatio...

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Bibliographic Details
Published inForensic science international. Genetics supplement series Vol. 5; pp. e590 - e591
Main Authors Oosterman, Wessel T., Kokshoorn, Bas, Maaskant-van Wijk, Petra A., de Zoete, Jacob
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2015
Subjects
Bayesian network
Cell type determination
Combining evidence
Probabilistic interpretation
Source level
Combining evidence
Cell type determination
Probabilistic interpretation
Bayesian network
Source level
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Summary:The current method of reporting a putative cell type is based on a non-probabilistic assessment of test results by the forensic practitioner. Additionally, the association between donor and cell type in mixed DNA profiles can be exceedingly complex. We present a probabilistic model for interpretation of cell typing results. This Bayesian network can be used by forensic practitioners to form a substantiated opinion about the cellular material(s) that a sample is composed of and about the attribution of DNA donor to cell type.
ISSN:1875-1768
1875-175X
DOI:10.1016/j.fsigss.2015.09.233