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BR-FDP-SKIN: Brazilian forensic DNA Skin phenotyping based on machine learning models.

Forensic science international - 1 Oct 2026

Weimer Rafael Diogo, Gonçalves Carlos Eduardo Ibaldo, Behrens Luiza Marques Prates, Boiani Mateus, Silva Eduardo Filipe Avila, Bicalho Maria da Graça, Alho Clarice Sampaio, Dorn Márcio

Abstract excerpt

Accurate prediction of skin pigmentation from DNA remains challenging, particularly in admixed populations due to their complex genetic architecture. In this study, we evaluated a panel of 66 SNPs associated with pigmentation in an admixed South Brazilian population from Rio Grande do Sul (n=438), phenotypically classified into six Fitzpatrick skin types. Three grouping strategies (six, three, and two classes)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 42308827
DOI: 10.1016/j.forsciint.2026.113046

Genes

DDB1
OCA2
SLC24A5
SLC45A2

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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