Cowell, R., Lauritzen, S. L. & Mortera, J. (2006). Identification and separation of DNA mixtures using peak area information (Updated version of Statistical Research Paper No. 25) (Report No. Statistical Research Paper No. 27). London, UK: Faculty of Actuarial Science & Insurance, City University London.
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We introduce a new methodology, based upon probabilistic expert systems, for analysing forensic identification problems involving DNA mixture traces using quantitative peak area information. Peak area is modelled with conditional Gaussian distributions. The expert system can be used for ascertaining whether individuals, whose profiles have been measured, have contributed to the mixture, but also to predict DNA profiles of unknown contributors by separating the mixture into its individual components. The potential of our probabilistic methodology is illustrated on case data examples and compared with alternative approaches. The advantages are that identification and separation issues can be handled in a unified way within a single probabilistic model and the uncertainty associated with the analysis is quantified. Further work, required to bring the methodology to a point where it could be applied to the routine analysis of casework, is discussed.
|Item Type:||Monograph (Working Paper)|
|Uncontrolled Keywords:||DNA mixture, forensic identification, mixture separation, probabilistic expert system, peak weight|
|Subjects:||H Social Sciences > HG Finance|
|Divisions:||Cass Business School > Faculty of Actuarial Science & Insurance > Faculty of Actuarial Science & Insurance Statistical Research Reports|
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