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M. Inouye

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Open access Sep 2026

Enhanced power and transferability for genetics-driven metabolomic biomarker discovery in admixed American cohorts

Among AMR participants of the All of Us cohort, using MCPS-trained (vs. INTERVAL-trained) models to predict metabolomic traits yielded five times as many significant associations across three cardiometabolic diseases: ischaemic heart disease, type 2 diabetes, and chronic kidney disease.

T. Oreskovic, D. Jin, E. Trichia et al. · 0 citations
Open access Aug 2026

A proteome-wide association study of cardiovascular diseases in 640,000 participants of multiple ancestries

This study enables study of large-scale proteomics in diverse populations, provides a systematic map of protein associations of cardiovascular diseases, and demonstrates the utility of genetically imputed proteomes for target discovery and experimental validation.

Yu Xu, Douglas P. Loesch, H. Taylor et al. · 0 citations

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