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Estimating drop-out probabilities of STR alleles accounting for stutters,detection threshold truncation and degradation
Institution:1. Department of Mathematical Sciences, Aalborg University, Denmark;2. Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark;1. Flinders Centre for Nanoscale Science and Technology, Flinders University, Sturt Road, Bedford Park, Adelaide, South Australia, Australia;2. School of Biological Sciences, Flinders University, Sturt Road, Bedford Park, Adelaide, South Australia, Australia;1. Laboratorio de Genética Molecular de Cruz Vital – Cruz Roja Ecuatoriana Quito, Ecuador;2. Laboratorio GENES Ltda, Medellin, Colombia;1. Institute of Legal Medicine, Faculty of Medicine, University of Cologne, Cologne, Germany;2. IPATIMUP – Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal;3. Forensic Genetics Unit, Institute of Legal Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain;1. Forensics Genetic Service, Central Delegation, National Institute of Legal Medicine and Forensic Sciences, I.P., Coimbra, Portugal;2. Cencifor, Forensic Science Centre, Portugal;3. National Institute of Legal Medicine and Forensic Sciences, I.P., Portugal;4. Department of Biology, University of Aveiro, Portugal
Abstract:Allelic drop-out continues to be a challenge to forensic geneticists when interpreting crime scene evidence and calculating the evidential weight. Methods exist for estimating the probability of allelic drop-out, where the most promising methods use the signal intensities as input for quantifying the drop-out probability. Using data from real crime cases, we demonstrate that taking degradation of the biological material and truncation of the data due to a detection threshold into account is superior to previous approaches. An additional correction for stuttering effects showed limited improvement.
Keywords:Forensic genetics  Allelic drop-out  Stutter correction  Truncation  Degradation
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