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Table 4 Logistic regression models for MetS using female-specific GRS

From: Identification of female-specific genetic variants for metabolic syndrome and its component traits to improve the prediction of metabolic syndrome in females

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
  1. AUC area under the curve, GRS genetic risk score, na not available