Background: Genomic, epigenomic, and proteomic data capture complementary aspects of cardiovascular disease biology, but the value of integrating these data for predicting multiple cardiovascular disease outcomes across ancestry groups remains uncertain. Methods: We derived disease-specific proteomic scores using 999 p...
P. Meyre, M. Chong, M. Pigeyre et al.· medRxiv· 0 citations
Current prognostic tools for heart failure (HF) rely mainly on clinical parameters and often fail to reflect the biological heterogeneity underlying patient outcomes. DNA methylation (DNAm)-based aging clocks and trait-specific epigenetic scores capture biological age and cumulative lifestyle and environmental ex...
P. Meyre, M. Chong, P. Joseph et al.· European Heart Journal· 0 citations
Higher epigenetic age and DNAm scores for CRP, frailty, and mortality were associated with increased risk, whereas higher diet-related DNAm scores were inversely associated, particularly for all-cause death.
P. Meyre, M. Chong, E. Shemesh et al.· medRxiv· 0 citations
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