Prediction Of Eye, Hair And Skin Color In Admixed Populations Of Latin America
Sagnik Palmal, Kaustubh Adhikari, Javier Mendoza‐Revilla, Macarena Fuentes‐Guajardo, Caio César Silva de Cerqueira, Juan Camilo Chacón-Duque, Anood Sohail, Malena Hurtado, Valeria Villegas, Vanessa Granja, Claudia Jaramillo, William H. Arias, Rodrigo Barquera, Paola Everardo, Jorge Gómez‐Valdés, , Andrés Ruiz‐Linares
The paper evaluates prediction accuracy for eye, hair, and skin pigmentation in admixed Latin Americans using genomic and phenotypic data, finding that Random Forest and regression perform best, and that pigmentation SNPs improve accuracy, especially for skin color.
bioRxiv · Dec 9, 2020 · PreprintGenetics