PopAffiliator: online calculator for individual affiliation to a major population group based on 17 autosomal STR genotype profile

• Autor(es): Luísa Pereira ; Farida Alshamali ; Rune Andreassen ; Ruth Ballard ; Wasun Chantratita ; Nam Soo Cho ; Clotilde Coudray ; Jean-Michel Dugoujon ; Marta Espinoza ; Fabricio González-Andrade ; Sibte Hadi ; Uta-Dorothee Immel ; Nina Jeran ; Dubravka Havas ; Catalin Marian ; Antonio Gonzalez-Martin ; Gerhard Mertens ; Walther Parson ; Carlos Perone ; Lourdes Prieto ; Haruo Takeshita ; Héctor Rangel Villalobos ; Zhaoshu Zeng ; Lev Zhivotovsky ; Rui Camacho ; Nuno A. Fonseca
• Data: 2011
• Identificador Persistente: https://hdl.handle.net/10216/91860
• Origem: Repositório Aberto da Universidade do Porto
• Assunto(s): Ciências biológicas, Ciências biológicas; Biological sciences, Biological sciences
• Tipo de Documento: Artigo científico
• Idioma: Inglês

Descrição

Because of their sensitivity and high level of discrimination, short tandem repeat (STR) maker systems are currently the method of choice in routine forensic casework and data banking, usually in multiplexes up to 15-17 loci. Constraints related to sample amount and quality, frequently encountered in forensic casework, willnot allow to change this picture in the near future, notwithstanding the technological developments. In this study, we present a free online calculator named PopAffiliator (http://cracs.fc.up.pt/popaffiliator) for individual population affiliation in the three main population groups, Eurasian, East Asian and sub-Saharan African, based ongenotype profiles for the common set of STRs used in forensics. This calculator performs affiliation based on a model constructed using machine learning techniques. The model was constructed using a data set of approximately fifteen thousand individuals collected for this work. The accuracy of individual population affiliation is approximately 86%, showing that the common set of STRs routinely used in forensics provide a considerable amount of information for population assignment, in addition to being excellent for individual identification.