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Objectives: Preeclampsia (PE) and Intrauterine Growth Restriction (IUGR) are major pregnancy pathologies. DNA Methylation pattern has already been reported to be altered in diseased placentas. Yet, the methylation level can be directly affected by gestational age, cell composition and other parameters. Herein, our aim was to identify CpGs, linked with the disease status with minimal influence of other biological or experimental confounding factors.

Methods: DNA Methylation pattern of 31 placentas was obtained using EPIC Illumina methylation Arrays. These placentas come from two different sample sets; Sample set 1: 6 Early Onset of PE (EOPE), 3 PE+ IUGR and 6 Ctrl and Sample set 2: 6 Late Onset of PE (LOPE), 2 IUGR and 8 Ctrl. Gestational age, ethnicity, cell composition, and infant sex were predicted using the Planet R package. Minfi and Champ R package were used to remove low-quality CpGs and for …