Table 5.

Evaluating the prediction performance using the training and validation datasets

	Training Dataset b		Validation Dataset c
Prediction in pedigrees	All individuals a	Non-probands	All individualsa	Non-probands
O	716	54	237	25
E	719.260	57.260	230.148	18.148
O/E (95% CI)	0.995 (0.925 to 1.071)	0.943 (0.722 to 1.231)	1.030 (0.907 to 1.170)	1.378 (0.931 to 2.039)
P value	0.903	0.667	0.652	0.108
AUC	0.981	0.753	0.981	0.803
Prediction assuming individuals are unrelated	All individualsa	Non-probands	All individualsa	Non-probands
O	716	54	237	25
E	694.404	32.404	221.752	9.752
O/E(95% CI)	1.031 (0.958 to 1.109)	1.666 (1.276 to 2.176)	1.069 (0.941 to 1.214)	2.564 (1.732 to 3.794)
P value	0.412	1.48×10−4	0.306	1.05×10−6
AUC	0.980	0.741	0.981	0.806

^aPrediction for the probands using formula (5)

^bthe training dataset comprises 787 singly ascertained BE pedigrees

^cthe validation dataset comprises 643 BE pedigrees