Ancestry estimation in forensic anthropology: accuracy of the AncesTrees software in a Brazilian sample

Abstract The objective of this study is to analyse the accuracy and applicability AncesTrees software with respect a set cranial measurements Brazilian sample consisting 114 identified skulls from two osteological collections, predominantly composed European (n = 59), African 35), admixed individuals 20). Twenty-four different craniometric are performed input via algorithms, one which used in three configurations, ancestral groups integrated model. exhibits superior performance estimation individuals, reaching 73% accuracy, compared 66% individuals. Those classified as produce variety classifications, mainly European. Overall, most accurate combination obtained using ancestralForest only into algorithm, where reaches 70%. specific population fragile because high admixing load, making it necessary create more representative anthropometric database people.