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. 2022 Jan 5;601(7893):422–427. doi: 10.1038/s41586-021-04249-w

Fig. 3. Features and model performance for prediction of pre-eclampsia.

Fig. 3

a, Sample collection time (dashed lines) and delivery time (solid lines) for women with pre-eclampsia (purple and green) and controls (grey). Gradients illustrate timelines for developing pathophysiology and onset of clinical symptoms. b, Quantile–quantile plot of ranked Spearman P values for women with pre-eclampsia (cases) versus controls. P values were calculated from Spearman correlation on cohort-corrected data for each gene. The genes used in the model are labelled. The black dotted line represents the expectation. c, Receiver operating characteristic curve (mean and 95% confidence interval) for the logistic regression model for pre-eclampsia (n = 524). d, Kaplan–Meier curves of deliveries in test-positive and test-negative populations (n = 439), excluding spontaneous preterm deliveries.