Table 2.
CRF | PRS | ||
---|---|---|---|
β | 95% CI | P | |
BMI, kg/m2 | −0.029 | −0.319, 0.261 | 0.845 |
Waist circumference, cm | 0.071 | −0.583, 0.724 | 0.832 |
Fasting glucose, mmol/L | 0.007 | 0.014, 0.028 | 0.507 |
LDLc, mmol/L | 0.094 | 0.055, 0.133 | <0.001 |
HDLc, mmol/L# | 0.991 | 0.980, 1.001 | 0.090 |
TG, mmol/L# | 1.017 | 0.994, 1.041 | 0.157 |
SBP, mmHg | 0.544 | −0.107, 1.197 | 0.102 |
DBP, mmHg | 0.524 | 0.094, 0.953 | 0.017 |
CRP, mg/dL# | 1.029 | 0.982, 1.077 | 0.230 |
tPA, ng/mL# | 0.996 | 0.980, 1.014 | 0.694 |
Fibrinogen, μmol/L | 0.039 | −0.077, 0.154 | 0.511 |
Each CRF represents a separate general linear model on the association between baseline risk factor levels and the increment of 10 risk alleles in the PRS. P value derived by general linear model adjusted for age at randomization, sex, and PCs ancestry markers.
Regression coefficients for natural log–transformed CRFs are expressed as exp(β) differences in baseline risk factor levels.