Enhanced power and transferability for genetics-driven metabolomic biomarker discovery in admixed American cohorts
Tin Orešković, Danyao Jin, Eirini Trichia, Diego J. Aguilar-Ramirez, Yu Xu, Carles Foguet, Tabitha Hubbard, Michael Turner, Alejandra Vergara-Lope, Luisa Fernández‐Chirino, Laurent Gil, Michael Hill, Jesús Alegre-Díaz, Jaime Berumen-Campos, Sarah Lewington, , Michael Inouye
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.
medRxiv · Sep 7, 2026 · PreprintGenetic & Genomic Medicine