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Open Access research which pushes advances in bionanotechnology

Strathprints makes available scholarly Open Access content by researchers in the Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS) , based within the Faculty of Science.

SIPBS is a major research centre in Scotland focusing on 'new medicines', 'better medicines' and 'better use of medicines'. This includes the exploration of nanoparticles and nanomedicines within the wider research agenda of bionanotechnology, in which the tools of nanotechnology are applied to solve biological problems. At SIPBS multidisciplinary approaches are also pursued to improve bioscience understanding of novel therapeutic targets with the aim of developing therapeutic interventions and the investigation, development and manufacture of drug substances and products.

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Statistical interpretation of DNA evidence

Gettinby, G. and Peterson, M. and Watson, N.D. (1993) Statistical interpretation of DNA evidence. Journal of the Forensic Science Society, 33 (4). pp. 212-217. ISSN 0015-7368

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The aim of this research is to assess the effect of recent admixture on the evaluation of DNA evidence. We develop an admixture model based on the distribution of individual admixture proportion in the population and allow us to relax the assumption of ramdom mating. Genetic disequilibrium depends on the variance and other higher moments of the distribution of individual admixture proportion. Although between locus disequilibrium is reduced by a half after each random mating, change in the mating pattern can lead to increase in the disequilibrium. Markov Chain Monte Carlo method is used to estimate important parameters such as population admixture proportions and allele frequencies in the parental populations. This is important especially for analysis of the New Zealand Maori population since allele frequencies for the ancestral population cannot be estimated directly. Simulation showed that the estimation algorithm is robust to the specification of the prior distributions. The gentoype frequency can be evaluated conditional on the individual's family history and the posterior density of observing the genotype at the crime scene can be estimated using importance sampling. This posterior predictive probability is equivalent to the match probability commonly used in forensic casework. We compare the match probability estimated under the admixture model and that under the substructure model using simulation and data from the New Zealand DNA database. Equivalent coancestry coefficient the value of θ which can be used in the substructure match probability to obtain a similar estimate compare to the admixture model, can be estimated. We show that the distribution of equivalent coancestry coefficient can be used to determine a value of θ which can be used to provide conservative estimate of the match probability under both population strucutres.