Open AccessForensic DNA Phenotyping: starting point to prediction model in Pernambuco population, Brazil
Author(s) -
Juliana Maria de Souza,
Michael Lopes Bastos,
Bárbara de Oliveira Silva,
Karla Giselle Gomes de Lima,
Giwellington Silva Albuquerque,
Renata Santos de Oliveira,
Luísa Priscilla Oliveira de Lima,
Edileine Dellalibera,
Anthony Lins,
Maria Tereza Cartaxo Muniz
Publication year - 2021
Publication title -
research, society and development
Language(s) - English
Resource type - Journals
ISSN - 2525-3409
DOI - 10.33448/rsd-v10i13.20955
Subject(s) - single nucleotide polymorphism , biology , context (archaeology) , population , genetics , association test , evolutionary biology , genotype , computational biology , gene , medicine , paleontology , environmental health
The study of Externally Visible Characteristics (EVC) of pigmentation associated with SNPs (Single Nucleotide Polymorphisms) has become a target in the forensic field due to the possibility of phenotypically characterizing an individual. In Brazil, there are few data that shows the evaluation of some these markers, so further studies are necessary to understand better the pigmentation process related to genetic markers. The aim of this study was to test the association between 8 SNPs present in HIrisplex tool and EVC to provide a starting point for the development of prediction models for heterogeneous populations like the one in Pernambuco. Were evaluated 176 individuals by associations between self-reported eye, hair and skin color data and polymorphisms. Artificial intelligence tools were used for the prediction models. Significant associations were found between rs1800404 (OCA2), rs6058017 (ASIP), rs16891982 (SLC45A2) and rs1426654 (SLC24A5) with (EVC). The prediction models evaluated showed satisfactory prediction rates, rates above 60% for skin color and above 70% for eyes and hair. The associations found in our data show the importance of SNPs evaluation used in DNA Phenotyping, because of its ability to provide new information in the context of criminal investigations. Our data indicate that is possible to use molecular information to predict phenotypes in miscigenated populations, like the Brazilian population. These polymorphisms could be possible phenotypic predictors for the Pernambuco population.