Article SCOPUS
Computers in Biology and Medicine  (2025)

DNA-based prediction of eye color in Latin American population applying Machine Learning models

Martínez; C.A.; Hohl; D.M.; Gutiérrez; M.D.L.A.; Palmal; S.; Faux; P.; Adhikari; K.; González José; R.; Bortolini; M.C.; Acuña-Alonzo; V.; Gallo; C.; Linares; A.R.; Rothhammer; F.; Catanesi; C.I.; Barrientos; R.J.

Keywords: DNA phenotyping; Eye color prediction; Forensic DNA; Machine Learning

Abstract

Reduction in the costs of DNA sequencing and genotyping allows for the increased availability of databases which can be useful for analyzing the relationship between the human genetic code and visible characteristics, diseases, and behaviors, among others. The aim of this study is to improve the prediction of eye color from genotype by means of several Machine Learning models, using a dataset of 308 volunteers from Buenos Aires, Argentina. The results achieved are competitive and demonstrate the usefulness of artificial intelligence (AI) in the fields of genetics and its application in areas such as health, biometrics and forensics. © 2025 Elsevier Ltd

Más información

Título según SCOPUS: DNA-based prediction of eye color in Latin American population applying Machine Learning models
Título de la Revista: Computers in Biology and Medicine
Volumen: 194
Editorial: Elsevier Ltd.
Fecha de publicación: 2025
Idioma: English
DOI:

10.1016/j.compbiomed.2025.110404
Notas: SCOPUS