Abstract identification of phenotypic traits such as hair, skin and eye color along withbiogeographic ancestry are rapidly becoming mainstream forensic analysis methods to provideinvestigative leads…

Abstract identification of phenotypic traits such as hair, skin and eye color along withbiogeographic ancestry are rapidly becoming mainstream forensic analysis methods to provideinvestigative leads for unsolved criminal cases. Externally visible characteristics (EVCS) thatinclude both genetic and environmental factors including facial structure, age, height and weight have proven to be more difficult to accomplish, but remain important physical traits for identification of persons of interest to a case. While admittedly an imperfect measurement, estimation of body weight classification (underweight, normal, overweight, and obese) wouldprovide important information for visual characterization of an unknown individual, whether that be an assailant for a crime or an unidentified victim. This area of characterization of body weight prediction of an individual from forensic evidence is completely unexplored. In our preliminary work, we have identified nine microrna (MIRNA) markers expressedand tested using DNA extracts of dried blood samples using reverse transcription-quantitativepcr (RT-QPCR) that can predict classifications of body mass with 100% accuracy in a smallsample set. The purpose of this project is to test those MIRNA markers in a larger sampling of the population, and to explore additional markers (if necessary) for improved accuracy. We willalso test those markers and explore others for mirnas that can predict body mass in saliva, asanother commonly encountered body fluid in forensic samples. Evaluation and validationmethods will utilize machine learning methods for classification modeling and utilize standardforensic developmental validation tests for precision, reliability, robustness, sensitivity and errorrate, once accurate markers are identified in both body fluids. The impact that this project will have on the forensic science community could be significant. Alone, body mass or weight classification is a minor advance for forensic biology; however, as part of a broader phenotypic panel (which is already available for use in casework),we begin to see a more comprehensive picture of the unknown person. By using DNA extracts for determining MIRNA expression for body weight class prediction, the stage is set for inclusionof the markers into a commercial high-throughput sequencing primer set that already includesother EVC markers. Ultimately, providing tools to DNA laboratories that can provide additionalinformation about an unknown assailant or victim benefits society, the crime laboratory, and thecriminal justice system by providing information to investigators for a more speedy and conclusive investigation. CA/NCF