van den Berge, M3; Carracedo, A4; Gomes, I5; Graham, E A M6; Haas, C14; Hjort, Benjamin Benn15; Hoff-Olsen, P8; Maroñas, O9; Mevåg, B8; Morling, N16; Niederstätter, H10; Parson, W11; Schneider, P M5; Court, D Syndercombe12; Vidaki, A12; Sijen, T13
1 Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, Københavns Universitet2 RI ledelse, Department of Forensic Medicine, Faculty of Health and Medical Sciences, Københavns Universitet3 Netherlands Forensic Institute, The Hague, The Netherlands.4 Forensic Genetics Unit, Institute of Forensic Science, Genomic Medicine Group, University of Santiago de Compostela, Spain; Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.5 Institute of Legal Medicine, Medical Faculty, University of Cologne, Germany.6 Northumbria University Centre for Forensic Science, Newcastle, UK.7 University of Zurich8 Department of Forensic Genetics, Norwegian Institute of Public Health, Oslo, Norway.9 Forensic Genetics Unit, Institute of Forensic Science, Genomic Medicine Group, University of Santiago de Compostela, Spain.10 Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria.11 Institute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria; Eberly College of Science, Penn State University, University Park, PA, USA.12 Department of Forensic and Analytical Science, King's College London, London, UK.13 Netherlands Forensic Institute, The Hague, The Netherlands. Electronic address: email@example.com University of Zurich15 Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, Københavns Universitet16 RI ledelse, Department of Forensic Medicine, Faculty of Health and Medical Sciences, Københavns Universitet
The European Forensic Genetics Network of Excellence (EUROFORGEN-NoE) undertook a collaborative project on mRNA-based body fluid/skin typing and the interpretation of the resulting RNA and DNA data. Although both body fluids and skin are composed of a variety of cell types with different functions and gene expression profiles, we refer to the procedure as 'cell type inference'. Nine laboratories participated in the project and used a 20-marker multiplex to analyse samples that were centrally prepared and thoroughly tested prior to shipment. Specimens of increasing complexity were assessed that ranged from reference PCR products, cDNAs of indicated or unnamed cell type source(s), to challenging mock casework stains. From this specimen set, information on the overall sensitivity and specificity of the various markers was obtained. In addition, the reliability of a scoring system for inference of cell types was assessed. This scoring system builds on replicate RNA analyses and the ratio observed/possible peaks for each cell type . The results of the exercise support the usefulness of this scoring system. When interpreting the data obtained from the analysis of the mock casework stains, the participating laboratories were asked to integrate the DNA and RNA results and associate donor and cell type where possible. A large variation for the integrated interpretations of the DNA and RNA data was obtained including correct interpretations. We infer that with expertise in analysing RNA profiles, clear guidelines for data interpretation and awareness regarding potential pitfalls in associating donors and cell types, mRNA-based cell type inference can be implemented for forensic casework.
Forensic Science International. Genetics, 2014, Vol 10, p. 40-8