title: Database extraction strategies for low-template evidence.
abstract: Often in forensic cases, the profile of at least one of the contributors to a DNA evidence sample is unknown and a database search is needed to discover possible perpetrators. In this article we consider two types of search strategies to extract suspects from a database using methods based on probability arguments. The performance of the proposed match scores is demonstrated by carrying out a study of each match score relative to the level of allele drop-out in the crime sample, simulating low-template DNA. The efficiency was measured by random man simulation and we compared the performance using the SGM Plus kit and the ESX 17 kit for the Norwegian population, demonstrating that the latter has greatly enhanced power to discover perpetrators of crime in large national DNA databases. The code for the database extraction strategies will be prepared for release in the R-package forensim.
authors: Department of Forensic Genetics, Norwegian Institute of Public Health, Oslo, Norway. Electronic address: Oyvind.Bleka@fhi.no.
authors: Øyvind
authors: Ø
authors: Bleka
authors: Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
authors: Guro
authors: G
authors: Dørum
authors: Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands.
authors: Hinda
authors: H
authors: Haned
authors: Department of Forensic Genetics, Norwegian Institute of Public Health, Oslo, Norway.
authors: Peter
authors: P
authors: Gill
mesh_terms: D004247:DNA / Q000032:analysis*; D016172:DNA Fingerprinting; D030561:Databases, Nucleic Acid; D005787:Gene Frequency; D005838:Genotype; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D016013:Likelihood Functions; D018895:Microsatellite Repeats; D008957:Models, Genetic
chemical_list: D004247:DNA
keywords: Database extraction; Match score; STR mixtures