Probabilistic expert systems for handling artifacts in complex DNA mixtures

R. G. Cowell, S. L. Lauritzen, J. Mortera

38 Citationer (Scopus)

Abstract

This paper presents a coherent probabilistic framework for taking account of allelic dropout, stutter bands and silent alleles when interpreting STR DNA profiles from a mixture sample using peak size information arising from a PCR analysis. This information can be exploited for evaluating the evidential strength for a hypothesis that DNA from a particular person is present in the mixture. It extends an earlier Bayesian network approach that ignored such artifacts. We illustrate the use of the extended network on a published casework example.

OriginalsprogEngelsk
TidsskriftForensic Science International: Genetics
Vol/bind5
Udgave nummer3
Sider (fra-til)202-209
Antal sider8
ISSN1872-4973
DOI
StatusUdgivet - jun. 2011
Udgivet eksterntJa

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