Table 4.
Logistic regression models for MetS using female-specific GRS
| Prediction model for MetS | Study | Sample size (case/control) | Group | Logistic PGRS-value | OR (95% CI) | AUC |
|---|---|---|---|---|---|---|
| AREA + AGE + GRS | discovery (KARE) | 1385 (912/473) | female | 5.28E-14 | 1.27 (1.19–1.35) | 0.85 |
| AREA + AGE | 1385 (912/473) | female | na | na | 0.83 | |
| GRS | 1385 (912/473) | female | 4.70E-11 | 1.19 (1.13–1.25) | 0.60 | |
| AREA + AGE + GRS | 1076 (503/573) | male | 3.27E-01 | 0.97 (0.92–1.03) | 0.57 | |
| AREA + AGE + GRS | 2461 (1415/1046) | all | 1.69E-05 | 1.09 (1.05–1.13) | 0.72 |
AUC area under the curve, GRS genetic risk score, na not available