Exploring Eye, Hair, and Skin Pigmentation in a Spanish Population: Insights from Hirisplex-S Predictions.

ABSTRACT:

Background/objectives

Understanding and predicting human pigmentation traits is crucial for individual identification. Genome-wide association studies have revealed numerous pigmentation-associated SNPs, indicating genetic overlap among pigmentation traits and offering the potential to develop predictive models without the need for analyzing large numbers of SNPs.

Methods

In this study, we assessed the performance of the HIrisPlex-S system, which predicts eye, hair, and skin color, on 412 individuals from the Spanish population. Model performance was calculated using metrics including accuracy, area under the curve, sensitivity, specificity, and positive and negative predictive value.

Results

Our results showed high prediction accuracies (70% to 97%) for blue and brow

SUBMITTER: Navarro-Lopez B 

PROVIDER: S-EPMC11507238 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature