MOVING FORWARD IN DNA MIXTURE DECONVOLUTION

Abstract

DNA Mixture Deconvolution is expected to transitionally become more difficult as the advancement of DNA typing methods specifically those packaged in DNA kits becomes more advanced. This is especially noticeable where the kits will be able to make inferences from mixtures that could previously not be made because of an increase in the sensitivity of the interpretation methods. This paper hence intends to posit Probabilistic Genotyping as a valid replacement for the existing methods of DNA interpretation. The study contains a review of the principles that have defined this area of scientific literature, posing the statistical methods such as the Markov Chain Monte Carlo method and how they are useful to the process. Additionally, a review of the propositions and literature behind likelihood ratios and the formulation of hypothesis is also present. The current issues inherent with the results and limitations of Probabilistic Genotyping software is also discussed.