TY - JOUR T1 - Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth JF - bioRxiv DO - 10.1101/2020.06.05.130971 SP - 2020.06.05.130971 AU - Adi L. Tarca AU - Bálint Ármin Pataki AU - Roberto Romero AU - Marina Sirota AU - Yuanfang Guan AU - Rintu Kutum AU - Nardhy Gomez-Lopez AU - Bogdan Done AU - Gaurav Bhatti AU - Thomas Yu AU - Gaia Andreoletti AU - Tinnakorn Chaiworapongsa AU - The DREAM Preterm Birth Prediction Challenge Consortium AU - Sonia S. Hassan AU - Chaur-Dong Hsu AU - Nima Aghaeepour AU - Gustavo Stolovitzky AU - Istvan Csabai AU - James C. Costello Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/06/06/2020.06.05.130971.abstract N2 - Identification of pregnancies at risk of preterm birth (PTB), the leading cause of newborn deaths, remains challenging given the syndromic nature of the disease. We report a longitudinal multi-omics study coupled with a DREAM challenge to develop predictive models of PTB. We found that whole blood gene expression predicts ultrasound-based gestational ages in normal and complicated pregnancies (r=0.83), as well as the delivery date in normal pregnancies (r=0.86), with an accuracy comparable to ultrasound. However, unlike the latter, transcriptomic data collected at <37 weeks of gestation predicted the delivery date of one third of spontaneous (sPTB) cases within 2 weeks of the actual date. Based on samples collected before 33 weeks in asymptomatic women we found expression changes preceding preterm prelabor rupture of the membranes that were consistent across time points and cohorts, involving, among others, leukocyte-mediated immunity. Plasma proteomic random forests predicted sPTB with higher accuracy and earlier in pregnancy than whole blood transcriptomic models (e.g. AUROC=0.76 vs. AUROC=0.6 at 27-33 weeks of gestation).Competing Interest StatementThe authors have declared no competing interest. ER -