PopAffiliator: online calculator for individual affiliation to a major population group based on 17 autosomal short tandem repeat genotype profile.
Pereira, Luisa; Alshamali, Farida; Andreassen, Rune; Ballard, Ruth; Chantratita, Wasun; Cho, Nam Soo; Coudray, Clotilde; Dugoujon, Jean-Michel; Espinoza, Marta; González-Andrade, Fabricio; Hadi, Sibte; Immel, Uta-Dorothee; Jeran, Nina; Havas, Dubravka; Marian, Catalin; Gonzales-Martin, Antonio; Mertens, Gerd; Parson, Walther; Perone, Carlos; Prieto, Lourdes; Takeshita, Haruo; Villalobos, Héctor Rangel; Zeng, Zhaoshu; Camacho, Rui; Fonseca, Nuno A.
Journal article, Peer reviewed
Postprint version. the original publication is available at www.springerlink.com u r l: http://dx.doi.org/10.1007/s00414-010-0472-2
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OriginalversjonPereira, L., Alshamali, F., Andreassen, R., Ballard, R.,Chantrita, W. Cho, N.S. et al. (2010). PopAffiliator: online calculator for individual affiliation to a major population group based on 17 autosomal short tandem repeat genotype profile. International journal of legal medicine, 124, http://dx.doi.org/10.1007/s00414-010-0472-2
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, will not 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 on genotype 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.