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.
Originalsprog | Engelsk |
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Tidsskrift | Forensic Science International: Genetics |
Vol/bind | 5 |
Udgave nummer | 3 |
Sider (fra-til) | 202-209 |
Antal sider | 8 |
ISSN | 1872-4973 |
DOI | |
Status | Udgivet - jun. 2011 |
Udgivet eksternt | Ja |