Forensic Science South Australia, 21 Divett Place, Adelaide, SA 5000, Australia.
Forensic Sci Int Genet. 2013 Sep;7(5):516-28. doi: 10.1016/j.fsigen.2013.05.011. Epub 2013 Jun 28.
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.
描述了一种基于峰高连续建模的常染色体混合 DNA 谱解释方法。应用 MCMC 对等位基因和拖尾高度模型进行分析,根据指定的基因型组合生成数据的概率。该理论扩展到可以处理任意数量的供体和重复,尽管实际实施将分析限制在四个供体。给定基因型组合的峰数据概率已被证明是一种非常直观的概率,有经验的办案人员可以主观评估。虽然办案人员不会评估概率本身,但他们可以大致判断与观察到的数据拟合良好的基因型,以及那些拟合程度相对较差的基因型。在计算后续似然比时会使用这些概率。该方法已在一些由已知供体构建的混合 DNA 谱上进行了测试。结果与二元方法进行了评估,并与分析师的主观判断进行了比较。