Probabilistic expert systems for handling artifacts in complex DNA mixtures

Cowell, R., Lauritzen, S. L. & 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.

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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.

Item Type: Monograph (Working Paper)
Uncontrolled 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
Divisions: Cass Business School > Faculty of Actuarial Science & Insurance > Faculty of Actuarial Science & Insurance Statistical Research Reports
URI: http://openaccess.city.ac.uk/id/eprint/2375

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