Fig. 4: Partial dependence plots of PRSs on the association between cardiovascular risk diseases and CAD in individuals from two biobanks. | Communications Medicine

Fig. 4: Partial dependence plots of PRSs on the association between cardiovascular risk diseases and CAD in individuals from two biobanks.

From: Machine learning reveals heterogeneous associations between environmental factors and cardiometabolic diseases across polygenic risk scores

Fig. 4

Each panel represents a partial dependence plot of PRS on the association between T2D, DL, or HTN and CAD in individuals from UKB (a) and BBJ (b). In each panel, the CAD risks associated with each cardiovascular risk factor (the vertical axis) are shown along with the PRS values for CAD (the horizontal axis). The color of each dot represents the density of individuals within that dot according to the color bar at the bottom. We showed (i) calibration coefficients and their P values at the upper left, and (ii) Spearman’s correlation coefficients between PRSs and disease risks associated with exposure and their P values at the upper right. c Comparison of characteristics (the vertical axis) between groups with high and low CAD risk associated with each cardiovascular risk factor (the horizontal axis) in the UKB and BBJ cohorts. In each panel, the color of squares represents the standardized mean differences in characteristics between the two groups. The size of squares corresponds to the P values of a two-tailed t-test for continuous characteristics and a Chi-square test for categorical characteristics between two groups. The size and color scales are provided on the right of the figure. The P values in all the panels were calculated from n = 369,942 samples in UKB. For BBJ, the P values were calculated from down-sampled data based on n = 149,421 independent samples to match the disease prevalence in the UKB. UKB UK Biobank, BBJ BioBank Japan, PRS polygenic risk score, CAD coronary artery disease, T2D type 2 diabetes, DL dyslipidemia, HTN hypertension.

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