A method for interpreting autosomal mixed DNA profiles based on continuous modelling of peak heights is described.
A method for interpreting autosomal mixed DNA profiles based on continuous modelling of peak heights is described. MCMC is applied with a model for allelic and stutter heights to produce a probability for the data given a specified genotype combination. The theory extends to handle any number of contributors and replicates, although practical implementation limits analyses to four contributors. The probability of the peak data given a genotype combination has proven to be a highly intuitive probability that may be assessed subjectively by experienced caseworkers. Whilst caseworkers will not assess the probabilities per se, they can broadly judge genotypes that fit the observed data well, and those that fit relatively less well. These probabilities are used when calculating a subsequent likelihood ratio. The method has been trialled on a number of mixed DNA profiles constructed from known contributors. The results have been assessed against a binary approach and also compared with the subjective judgement of an analyst.
Similar Publications
- Utilizing Derivatizing Agents for the Differentiation of Cannabinoid isomers in Complex Food, Beverage and Personal-care Product Matrices by Ambient Ionization Mass Spectrometry
- Microscopical Discrimination of Human Head Hairs Sharing a Mitochondrial Haplogroup
- Large-scale Selection of Highly Informative Microhaplotypes for Ancestry Inference and Population Specific Informativeness