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Title: PopAffiliator: Online calculator for individual affiliation to a major population group based on 17 autosomal short tandem repeat genotype profile
Authors: 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
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
Universidade do Porto
General Department of Forensic Sciences and Criminology
OsloMet – storbyuniversitetet
California State University Sacramento
Mahidol University
National Institute of Scientific Investigation
Universite Paul Sabatier Toulouse III
Poder Judicial
Hospital Metropolitano
University of Central Lancashire
Martin-Universitat Halle-Wittenberg
Lombardi Comprehensive Cancer Center
Universidad Complutense de Madrid
Universitair Ziekenhuis Antwerpen
Medizinische Universitat Innsbruck
Universidade Federal de Minas Gerais
University Institute of Research Police Sciences (IUICP)
Shimane University
Universidad de Guadalajara
Zhengzhou University
Russian Academy of Sciences
Instituto de Engenharia de Sistemas e Computadores Porto
Keywords: Medicine
Issue Date: 1-Sep-2011
Citation: International Journal of Legal Medicine. Vol.125, No.5 (2011), 629-636
Abstract: 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 ( ) 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. © 2010 Springer-Verlag.
ISSN: 14371596
Appears in Collections:Scopus 2011-2015

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