Table 2.

Model performance (AUC) in distinguishing JME individuals from UKBB controls

Performance metricJME v. UKBB controls (AUC)
IGE-PRS0.74
Pruning and thresholding0.78
Elastic net0.848 ± 0.043
ePRS0.874 ± 0.021

[i] The ePRS significantly outperforms both IGE-PRS and pruning and thresholding and demonstrates greater stability in model performance across 50 different train-test splits derived from the original target cohort (JME individuals and UKBB controls). (AUC) Area under the curve, (IGE) idiopathic generalized epilepsy, (JME) juvenile myoclonic epilepsy, and (UKBB) UK Biobank.