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Probabilistic expert systems for handling artifacts in complex DNA mixtures

Cowell, R., Lauritzen, S. L. and Mortera, J. (2009). Probabilistic expert systems for handling artifacts in complex DNA mixtures (Report No. Statistical Research Paper No. 31). London, UK: Faculty of Actuarial Science & Insurance, City University London.

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.

Publication Type: Monograph (Working Paper)
Publisher Keywords: Allelic dropout, artifacts, Bayesian networks, DNA mixtures, peak area, probabilistic expert systems, silent alleles, STR marker, stutter bands
Subjects: H Social Sciences > HG Finance
Departments: Cass Business School > Actuarial Science & Insurance > Statistical Research Reports
URI: http://openaccess.city.ac.uk/id/eprint/2375
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