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. 2022 Jan 13;114(4):528–539. doi: 10.1093/jnci/djac003

Table 3.

Covariate-adjusted AUC comparisons between risk prediction models

Model All participants Men Women
AUC (95% CI) AUC (95% CI) AUC (95% CI)
Model 1: Family historya 0.563 (0.555 to 0,571) 0.568 (0.558 to 0.580) 0.558 (0.547 to 0.569)
Model 2: ERS per 1 SDb 0.536 (0.519 to 0.552) 0.546 (0.519 to 0.571) 0.525 (0.494 to 0.543)
Model 3: PRS per 1 SDc 0.628 (0.613 to 0.644) 0.621 (0.592 to 0.651) 0.633 (0.612 to 0.655)
Model 4: ERS and PRS per 1 SDd 0.631 (0.615 to 0.647) 0.629 (0.604 to 0.654) 0.630 (0.607 to 0.652)
a

The model includes family history as the predictor, adjusting for sex (for the model including all participants) and age. AUC = area under the receiver operating characteristic curve; CI = confidence interval; ERS = environmental risk score; PRS = polygenic risk score.

b

The model includes a z-transformed ERS as the predictor, adjusting for age, sex (for the model including all participants), total energy consumption, study, and family history.

c

The model includes a z-transformed PRS as the predictor, adjusting for age, sex (for the model including all participants), family history, genotype platform, and principal components.

d

The model includes z-transformed ERS and PRS as predictors, adjusting for age, sex (for the model including all participants), study, family history, total energy consumption, principal components, genotype platform, and a z-transformed ERS.