Víctor Acuña-Alonzo

The Peruvian Genome Project collects and analyzes genomic data from native and mestizo populations in Peru to address underrepresentation in global genome databases and uncover genetic adaptations to local environments.

This study identifies loci under selection in Latin American admixed populations, distinguishing between pre- and post-admixture selection, and finds signals related to immunity and energy metabolism.

This study identifies novel genetic loci for BMI, height, and WHRadjBMI in Hispanic/Latino populations and shows the benefits of ancestral diversity in GWAS.

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.

The paper analyzes ancestry in Latin Americans using haplotype-based methods, finding widespread Converso ancestry and links between Native ancestry and facial features.

The paper conducts a GWAS in non-European populations, identifies new genetic loci, and highlights the importance of diverse cohorts for understanding complex traits.