A gamma model for {DNA} mixture analyses

We present a new methodology for analysing forensic identification problems involving DNA mixture traces where several individuals may have contributed to the trace. The model used for identification and separation of DNA mixtures is based on a gamma distribution for peak area values. In this paper we illustrate the gamma model and apply it on several real examples from forensic casework.

[1]  M W Perlin,et al.  Linear mixture analysis: a mathematical approach to resolving mixed DNA samples. , 2001, Journal of forensic sciences.

[2]  A. Dawid,et al.  Probabilistic expert systems for DNA mixture profiling. , 2003, Theoretical population biology.

[3]  P. Gill,et al.  PENDULUM--a guideline-based approach to the interpretation of STR mixtures. , 2005, Forensic science international.

[4]  J A Lambert,et al.  Taking account of peak areas when interpreting mixed DNA profiles. , 1998, Journal of forensic sciences.

[5]  S L Lauritzen,et al.  Identification and separation of DNA mixtures using peak area information. , 2007, Forensic science international.

[6]  P Gill,et al.  Development of guidelines to designate alleles using an STR multiplex system. , 1997, Forensic science international.

[7]  Liu Yingan Interpreting DNA Mixtures with Bayes Framework , 2007 .

[8]  A. Urquhart,et al.  Variation in Short Tandem Repeat sequences —a survey of twelve microsatellite loci for use as forensic identification markers , 2005, International Journal of Legal Medicine.

[9]  I W Evett,et al.  A guide to interpreting single locus profiles of DNA mixtures in forensic cases. , 1991, Journal - Forensic Science Society.

[10]  J. Whitaker,et al.  Analysis and interpretation of mixed forensic stains using DNA STR profiling. , 1998, Forensic science international.

[11]  David J. Spiegelhalter,et al.  Local computations with probabilities on graphical structures and their application to expert systems , 1990 .

[12]  S N Austad Forensic DNA typing. , 1992, Science.

[13]  Nianwen Xue,et al.  Least square deconvolution (LSD): A new way of resolving STR/DNA mixture samples , 2002 .

[14]  R. G. Cowell Object-oriented Bayesian networks for DNA mixture analyses , 2006 .

[15]  Julia Mortera,et al.  MAIES: A Tool for DNA Mixture Analysis , 2006, UAI.

[16]  Ian W. Evett,et al.  Interpreting DNA Evidence: A Review , 2003 .