This review discusses forensic DNA phenotyping and its potential applications, particularly for human identification in Latin American populations, but notes challenges due to genetic diversity and reports no new results.
This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.
5 citations
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September 2016 in “Security science and technology” DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.
August 2026 in “Journal of Genome Biotechnology and Genetics” This review found that while forensic DNA phenotyping and health applications for pigmentation genetics show potential, factors like phenotype definition and population diversity present challenges to accurate genotype-to-appearance predictions.
5 citations
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November 2020 in “Forensic Science International Genetics” This study found that using trait prevalence-informed priors may improve the prediction accuracy of appearance traits in Bayesian models, but their application is limited by sparse knowledge on trait prevalence.