title: Identifying common donors in DNA mixtures, with applications to database searches.
abstract: Several methods exist to compute the likelihood ratio LR(M, g) evaluating the possible contribution of a person of interest with genotype g to a mixed trace M. In this paper we generalize this LR to a likelihood ratio LR(M1, M2) involving two possibly mixed traces M1and M2, where the question is whether there is a donor in common to both traces. In case one of the traces is in fact a single genotype, then this likelihood ratio reduces to the usual LR(M, g). We explain how our method conceptually is a logical consequence of the fact that LR calculations of the form LR(M, g) can be equivalently regarded as a probabilistic deconvolution of the mixture. Based on simulated data, and using a semi-continuous mixture evaluation model, we derive ROC curves of our method applied to various types of mixtures. From these data we conclude that searches for a common donor are often feasible in the sense that a very small false positive rate can be combined with a high probability to detect a common donor if there is one. We also show how database searches comparing all traces to each other can be carried out efficiently, as illustrated by the application of the method to the mixed traces in the Dutch DNA database.
authors: Netherlands Forensic Institute, P.O. Box 24044, 2490 AA The Hague, The Netherlands; VU University Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. Electronic address: k.slooten@nfi.minvenj.nl.
authors: K
authors: K
authors: Slooten
mesh_terms: D004247:DNA / Q000235:genetics*; D016172:DNA Fingerprinting; D030561:Databases, Nucleic Acid; D006801:Humans; D016013:Likelihood Functions; D012372:ROC Curve
chemical_list: D004247:DNA
keywords: DNA database search; DNA mixtures; Deconvolution; Dropout; Likelihood ratio distributions