Desenvolvimento de um sistema multiplex de loci STRs autossômicos polimórficos para a identificação humana

Nenhuma Miniatura disponível



Título da Revista

ISSN da Revista

Título de Volume


Universidade Federal de Goiás


The main scope of the current study was to develop a short tandem repeat (STR) multiplex system, made up of 22 highly informative loci, for application in forensic genetics. The system comprised of 21 polymorphic autosomal short tandem repeat loci, namely D3S1358, TH01, D21S11, D18S51, Penta E, D5S818, D13S317, D7S820, D16S539, CSF1PO, Penta D, vWA, D8S1179, TPOX, FGA, D2S441, D17S1301, D19S433, D18S853, D20S482 and D14S1434, and the amelogenin gene locus. Strategies were developed to overcome the challenges involved in creating a multiplex system. Based on the literature and available databases, STR loci were selected to obtain discriminatory markers, and followed specific criteria for this purpose. Primers were designed using the Primer3 software and the AutoDimer was used to evaluate potential interactions between them. The 21 selected STR loci were validated individually and jointly, both to assess their sensitivity and to test the efficiency of the multiplex system. Statistical analyses were based on the genetic data of 450 unrelated individuals living in the State of Goiás, thus allowing the establishment of the parameters necessary to use this system. A total of 239 alleles were detected for the 21 loci in the set, allowing for a probability of identity of 4.23 x 10-25 to be obtained. The combined power of discrimination was 0.999999999999999999999999 and the combined power of exclusion was 0.99999. Upon complete validation of the entire system, this multiplex assay was considered to be a powerful tool for application in human identification by DNA analysis.



RODOVALHO, Ricardo Goulart. Desenvolvimento de um sistema multiplex de loci STRs autossômicos polimórficos para a identificação humana. 2017. 101 f. Tese (Doutorado em Biotecnologia e Biodiversidade em Rede Pró-Centro-Oeste) - Universidade Federal de Goiás, Goiânia, 2017.