Alejandra Vergara-Lope

This study conducts GWAS on blood pressure traits in 140,559 admixed Mexican adults, identifying novel genetic signals and highlighting ancestry-specific heterogeneity.

The paper improves metabolomic biomarker discovery in admixed American cohorts by training models on diverse data, achieving better predictive performance and more significant associations with cardiometabolic diseases.

The paper introduces Tractor-Mix, a mixed model method for GWAS in admixed cohorts with high relatedness, improving ancestry-specific association detection and controlling false positives.

This study identifies 86 T2D GWAS associations in 125,000 admixed Mexican adults, including 21 novel signals, and highlights the role of common regulatory variation in the endocrine pancreas.

The paper estimates direct effects of genetic ancestry on complex traits in a Mexican population using family-based analyses and finds significant associations for height and type 2 diabetes but not for educational attainment.