Skip to main content

Table 2 Discriminatory accuracy of BWHS risk model alone, polygenic risk score (PRS) alone, and model that combines both

From: Addition of polygenic risk score to a risk calculator for prediction of breast cancer in US Black women

 

AUC (95% CI)

Increase in AUC from combined versus BWHS model (95% CI)

p-value

All invasive breast cancers (N = 922)

 BWHS model only

0.577 (0.556–0.598)

  

 PRS only

0.584 (0.563–0.605)

  

 BWHS model + PRS

0.623 (0.603–0.644)

0.046 (0.023–0.069)

< 0.0001

ER-positive breast cancer (N = 555)

 BWHS model only

0.594 (0.572–0.617)

  

 PRS only

0.595 (0.571–0.620)

  

 BHS model + PRS

0.627 (0.603–0.651)

0.033 (0.008–0.057)

0.0099

ER-negative breast cancer (N = 296)

 BWHS model only

0.536 (0.509–0.563)

  

 PRS only

0.576 (0.549–0.603)

  

 BWHS model + PRS

0.597 (0.568–0.627)

0.061 (0.031–0.093)

0.0001

Age < 45 years at breast cancer diagnosis or control selection (N  = 208)

 BWHS model only

0.546 (0.507–0.586)

  

 PRS only

0.587 (0.551–0.623)

  

 BWHS model + PRS

0.608 (0.569–0.647)

0.062 (0.022–0.101)

0.0025

Age ≥ 45 years at breast cancer diagnosis or control selection (N = 714)

 BWHS model only

0.586 (0.563–0.609)

  

 PRS only

0.583 (0.559–0.608)

  

 BWHS model + PRS

0.630 (0.606–0.653)

0.044 (0.020–0.068)

0.0003