comp.CVD_score {MiMIR}

comp.CVD_score

Description

Function to compute CVD-score made by Peter Wurtz et al. made by Deelen et al. on Nightingale metabolomics data-set.

Usage

comp.CVD_score(met, phen, betas, quiet = FALSE)

Arguments

met

numeric data-frame with Nightingale-metabolomics

phen

data-frame containing phenotypic information of the samples (specifically: sex, systolic_blood_pressure, current_smoking, diabetes, blood_pressure_lowering_med, lipidmed, totchol, and hdlchol)

betas

The betas of the linear regression composing the CVD-score

quiet

logical to suppress the messages in the console

Value

data-frame containing the value of the CVD-score on the uploaded data-set

References

This function is constructed to be able to apply the CVD-score as described in: Wurtz,P. et al. (2015) Metabolite profiling and cardiovascular event risk: a prospective study of 3 population-based cohorts. Circulation, 131, 774-785, doi:10.1161/CIRCULATIONAHA.114.013116

See Also

prep_met_for_scores, CVD_score_betas, comp.T2D_Ahola_Olli, comp.mort_score

Examples

library(MiMIR)

#load the dataset
met <- synthetic_metabolic_dataset
phen<-synthetic_phenotypic_dataset
#Prepare the metabolic features fo the mortality score
CVDscore<-comp.CVD_score(met= met, phen=phen, betas=MiMIR::CVD_score_betas, quiet=TRUE)