Table 3.
Sex predictor results
| Accuracy | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Predictor | No. probes | No. of sCMRs | No. of mQTL probes | Validation cohort (GSE125105) | EPIC BeadChip dataset (GSE143303) | ARIES birth | ARIES 7yr | ARIES 15yr | RRBS | Overall accuracy |
| 63-probe | 63 | 51 | 18 | 98.1 (6 females; 7 males misclassified) | 95.0 (38 females; 2 males misclassified) | 97.9 (13 females; 6 males misclassified) | 98.9 (9 females; 1 male misclassified) | 98.3 (14 females; 2 males misclassified) | n/a | 97.64 |
| 45-probe | 45 | 35 | 0 | 97.8 (10 females; 5 males misclassified) | 94.6 (43 females; 0 male misclassified) | 94.7 (45 females; 3 males misclassified) | 98.5 (14 females; 1 male misclassified) | 96.7 (32 females; 0 male misclassified) | n/a | 96.46 |
| 11-probe/sparse | 11 | 0 | 93.3 (27 females; 20 males misclassified) | 91.7 (61 females; 5 males misclassified) | 51.4 (440 females; 0 males misclassified) | 70.5 (286 females; 0 male misclassified) | 77.5 (217 females; 1 male misclassified) | n/a | 76.88 | |
| region-based | n/a | 31 | n/a | 94.1 (2 females; 40 males misclassified) | 94.1 (46 females; 1 male misclassified) | 89.8 (2 females; 90 males misclassified) | 91.9 (0 female; 79 males misclassified) | 92.9 (0 female; 69 males misclassified) | 91.8 (11 females; 1 male misclassified) | 92.45 |