STRmix? put to the test: 300 000 non-contributor profiles compared to four-contributor DNA mixtures and the impact of replicates |
| |
| Institution: | 1. Comisaría General de Policía Científica, University Institute of Research in Forensic Sciences (IUICP), Madrid, Spain;2. Netherlands Forensic Institute, Department of Human Biological Traces, The Hague, The Netherlands;3. Forensic Science Institute Luis Concheiro, University of Santiago de Compostela, Spain;4. Instituto Nacional de Toxicología y Ciencias Forenses, Servicio de Biología, Barcelona, Spain;5. Cefegen, Madrid, Spain;6. Legal Medicine Institute of Valencia, Spain;7. Department of Toxicology and Health Legislation, Faculty of Medicine, Complutense University of Madrid, Spain;8. Instituto Nacional de Toxicología y Ciencias Forenses, Servicio de Biología, Sevilla, Spain;9. Laboratoire d’Hématologie Médico-Légale, Bordeaux, France;10. GHEP-ISFG, Grupo de habla española y portuguesa de la International Society for Forensic Genetics, Spain;11. Instituto Nacional de Toxicología y Ciencias Forenses, Servicio de Biología, Madrid, Spain;12. Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark;13. DNA Laboratory, Spanish Forensic Police, Granada, Spain;14. DNA Laboratory, Spanish Forensic Police, A Coruña, Spain;15. Department of Forensic Medicine, University of Zaragoza, Spain;p. Institute of Legal Medicine, Catholic University of Sacred Heart, School of Medicine, Rome, Italy;q. Servicio de Criminalística, Dpto. de Biología, Guardia Civil, Spain;r. Unitat Central del Laboratori Biològic – Cos de Mossos d’Esquadra, Cataluña, Spain;s. Nasertic, Navarra, Spain;t. Ertzaina DNA Laboratory, Basque Country Police, Spain;u. Norwegian Institute of Public Health, Oslo, Norway;v. University of Oslo, Oslo, Norway;1. Department of Forensic Sciences, Oslo University Hospital, Oslo, Norway;2. Instituto de Ciencias Forenses, Grupo de Medicina Xenómica, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;3. Institute of Clinical Medicine, University of Oslo, Oslo, Norway;1. Forensic Science SA, 21 Divett Place, Adelaide, SA 5000, Australia;2. School of Biological Sciences, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia;3. Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland, 1142, New Zealand;4. University of Washington, Department of Biostatistics, Seattle, WA 98195, United States;1. Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland, 1142, New Zealand;2. Forensic Science SA, GPO Box 2790, Adelaide, SA, Australia;3. School of Biological Sciences, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia;4. University of Auckland, Department of Statistics, Auckland, New Zealand;1. Forensic Science South Australia, 21 Divett Place, Adelaide, SA 5000, Australia;2. School of Biological Sciences, Flinders University, GPO Box 2100 Adelaide SA, Australia 5001 ESR, Private Bag 92021, Auckland 1142, New Zealand;3. Department of Statistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;4. National Institute of Standards and Technology, 100 Bureau Drive, MS 8980 and 8314, Gaithersburg, MD 20899, United States;5. ESR, Private Bag 92021, Auckland 1142, New Zealand;1. Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland, 1142, New Zealand;2. Forensic Science SA, 21 Divett Place, Adelaide, SA, 5000, Australia;3. School of Biological Sciences, Flinders University, GPO Box 2100 Adelaide, SA, 5001, Australia;4. University of Auckland, Department of Statistics, Auckland, New Zealand |
| |
| Abstract: | Probabilistic genotyping approaches are increasingly used for the interpretation of DNA mixtures. To explore the specificity of one of these systems (STRmix?), we conducted an extensive study using 24 complex mixtures: all were known or apparent 4-person mixtures with at least one contributor representing less than 20% of total DNA, and all mixtures had at least one contributor with suboptimal DNA quantity. Those mixtures were either generated in-house or from casework. All the mixtures were compared to 300,000 virtual non-contributors, resulting in a dataset of 7.2 million comparisons. The great majority of the non-contributor comparisons led to a LR lower than 1 for a specificity of 99.1%. The effect of using replicate amplifications to calculate the LR of non-contributors was also assessed as triplicates were used and led to an increased specificity of 99.8%. The very large extent of the analyzed data shows that STRmix? has an excellent ability to discriminate non-contributors from complex DNA mixtures. |
| |
| Keywords: | Probabilistic genotyping Specificity Complex DNA mixtures Deconvolution Replicates |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
