Table 2.

Predictive Performance Expressed as Spearman Correlation Coefficients by Permuting Omics Blocks in the Model

Model permutation	Blood pressure	ρ	95% CI
C	SBP	0.377	[0.330 to 0.422]
Me	SBP	0.051	[−0.002 to 0.104]
T	SBP	0.176	[0.124 to 0.227]
Mb	SBP	0.332	[0.284 to 0.379]
C+Me+T+Mb	SBP	0.359	[0.312 to 0.404]
C+T+Mb	SBP	0.436	[0.391 to 0.478]
C	DBP	0.448	[0.405 to 0.490]
Me	DBP	0.045	[−0.009 to 0.098]
T	DBP	0.147	[0.094 to 0.198]
Mb	DBP	0.392	[0.345 to 0.436]
C+Me+T+Mb	DBP	0.393	[0.347 to 0.438]
C+T+Mb	DBP	0.487	[0.446 to 0.527]

The three-block model achieved the best predictive performance for both SBP and DBP, highlighting the failure to integrate methylation data for which the Spearman correlation between blood pressure measurements and blood pressure predictions was not significantly non-null at the 5% threshold in a single-block context.

CI, confidence interval of ρ; C, Clinical_PRS; Mb, metabolomics; Me, methylation; PRS, polygenic risk scores; T, transcriptomics.