Table 1 AUC distribution in terms of covariate usage

From: Utility of polygenic scores across diverse diseases in a hospital cohort for predictive modeling

 

PGS catalog

PGS calculation in the CMUH

AUC ranges

Covariates included

Without covariates

Total

PGS + Age + Sex + PCs model

PGS + Age + Sex model

PGS model

Age + Sex model

(N = 1927)

(N = 267)

(N = 2194)

(N = 457)

(N = 457)

(N = 457)

(N = 457)

(0.0, 0.1]

-

-

-

-

-

-

-

(0.1, 0.2]

0.05%

-

0.05%

-

-

-

-

(0.2, 0.3]

-

-

-

-

-

-

-

(0.3, 0.4]

-

-

-

-

-

-

-

(0.4, 0.5]

0.05%

-

0.05%

1.97%

5.25%

3.28%

16.63%

(0.5, 0.6]

24.81%

28.52%

25.26%

84.25%

83.37%

90.15%

78.12%

(0.6, 0.7]

39.11%

50.00%

40.43%

10.94%

8.53%

5.91%

3.50%

(0.7, 0.8]

24.30%

11.11%

22.69%

1.31%

1.31%

0.44%

0.44%

(0.8, 0.9]

8.92%

8.89%

8.91%

1.53%

1.53%

0.22%

1.31%

(0.9, 1.0]

2.77%

1.48%

2.61%

-

-

-

-

  1. Bold text indicates the group with the largest proportion.