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ProbRank: An efficient DNA database search method for complex mixtures per a quantitative likelihood ratio model
Institution:1. Division of Biological Traces, Netherlands Forensic Institute, The Hague, the Netherlands;2. Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands;1. Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo Ward, Tokyo 113-0033, Japan;2. Genome Medical Science Project, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku word, Tokyo 162-8655, Japan;3. Genome Medical Science Project, National Center for Global Health and Medicine, 1-7-1, Kohnodai, Ichikawa, Chiba, 272-8516, Japan;4. Forensic Science Laboratory, Tokyo Metropolitan Police Department, 3-35-21, Shakujiidai, Nerima Ward, Tokyo 177-0045, Japan;1. Institute of Legal Medicine, University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Germany;2. Institute of Pathology, University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Germany;1. School of Life and Environmental Sciences, Deakin University, Geelong, VIC 3220, Australia;2. Office of the Chief Forensic Scientist, Victoria Police Forensic Services Department, Macleod, VIC 3085, Australia;3. School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, VIC 3086, Australia
Abstract:Searching a DNA Database with a DNA profile from an evidentiary trace can provide investigative leads in a forensic case. Various searching approaches exist such as conventional methods based on matching alleles or more advanced methods computing likelihood ratios (LR) while considering drop-in and drop-out. Here we examine the potential of using a quantitative LR model (EuroForMix model incorporated in ProbRank method) that takes peak heights into account in comparison to a qualitative LR model (LRmix model implemented in SmartRank method). Both methods present DNA database candidates in order of decreasing LR. Especially regarding minor contributors in complex mixtures, the method using the quantitative model outperforms the method using the qualitative model in terms of sensitivity and specificity as more true donors and less adventitious matches are retrieved. ProbRank is to be implemented in DNAStatistX and is sufficiently fast for daily use.
Keywords:Forensic science  SmartRank  DNA database searches  ProbRank  Probabilistic genotyping  DNAStatistX
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