Extended Data Fig. 2: Across gestation before diagnosis, changes in the cfRNA transcriptome segregate preeclampsia and normotensive samples and reflect known preeclampsia biology.
From: Early prediction of preeclampsia in pregnancy with cell-free RNA
a, Distribution of CVs with dashed line at CV = 1 for all DEGs (n = 544) between preeclampsia as compared to normotensive samples across gestation. b, At ≥23 weeks of gestation and post-partum, a subset of DEGs can separate preeclampsia (n = 20, 17) and normotensive (n = 37, 29) samples despite differences in symptom severity, preeclampsia onset subtype, and GA at delivery. c, Comparison of log2(FC) for DEGs for preeclampsia as compared to normotensive between discovery and validation 1 reveals good agreement across gestation but not post-partum. d, The genes in each longitudinal trend group reflect known preeclampsia aetiology as highlighted across four databases (GO biological processes, KEGG, the reactome, and GO cellular compartment). Some preeclampsia associated terms are emphasized in bold, coloured text that corresponds to group colour from Fig. 2d (Dark blue and orange indicate decreased and increased in preeclampsia versus normotensive, respectively) (p ≤ 0.05; one-sided hypergeometric test with multiple hypothesis correction, see Methods). e, Comparison of log2(FC) for DEGs for preeclampsia without severe features versus normotensive and preeclampsia with severe features versus normotensive in the discovery cohort reveals good agreement along the y=x axis with a slope of 0.93, 1.03, 0.77, and 0.86 at ≤12 weeks, 13–20, ≥23 weeks, and post-partum, respectively.
