Binary logistic regression models enable miRNA profiling to provide accurate identification of forensically relevant body fluids and tissues |
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| Institution: | 1. National Center for Forensic Science, University of Central Florida, Orlando, FL, USA;2. University of Missouri-Kansas City, Kansas City, MO, USA;3. University of Central Florida, Department of Chemistry, Orlando, FL, USA;1. Forensic Science Program, School of Criminal Justice, Michigan State University, East Lansing, MI 48824, USA;2. Department of Chemistry, Michigan State University, East Lansing, MI 48824, USA;1. ESR Ltd., Private Bag 92021, Auckland 1142, New Zealand;2. California Department of Justice, Jan Bashinski DNA Laboratory, Richmond, CA 94804, United States;1. Department of Forensic Pathology, New York City Office of Chief Medical Examiner, New York, New York;2. Molecular Genetics Laboratory, New York City Office of Chief Medical Examiner, New York, New York;1. Office of the Chief Forensic Scientist, Victoria Police Forensic Services Department, Macleod, Victoria, Australia;2. Department of Genetics, La Trobe University, Melbourne, Victoria, Australia;1. Department of Forensic Molecular Biology, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands;2. Centre for Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, UK |
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| Abstract: | Numerous studies have demonstrated the ability to identify the body fluid of origin of forensic biological stains using messenger (mRNA) profiling. However, the size of the amplification product used in these assays (100–400 bases) may not be ideal for use with environmentally degraded samples. MiRNA profiling represents a potential alternative to mRNA profiling, since the small size of the miRNAs (∼22 bases) might still permit their detection in degraded stains. Previously, we reported the first study involving the forensic use of microRNA (miRNA) profiling, which required screening of 452 candidates. Since our initial screening, hundreds of novel miRNAs have been identified. We have therefore evaluated additional miRNA candidates to further improve the sensitivity and specificity of the body fluid assays. Consequently we have expanded our body fluid identification panel to include 18 miRNAs (comprising 5 original and 13 novel miRNAs). This panel permits the identification of all forensically relevant body fluids and, uniquely, includes miRNAs for the identification of skin.Using normalized miRNA expression data, we constructed body fluid specific binary logistic regression models to permit an accurate identification of the body fluid of interest. Using the developed models, we have obtained 100% accuracy in predicting the body fluid of interest. |
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| Keywords: | microRNA (miRNA) RNA profiling Logistic regression analysis Body fluid identification Forensic science |
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