Metabolic syndrome of pregnancy (MSOP) affects 15-20% of women. This syndrome is related to pregnancy complications, including preeclampsia, diabetes and pre-term birth. In the current proposal, we will generate personalised prediction models for MSOP and its gestational complications. To accomplish these aims, we will characterise MSOP and its complications by the clinical and epidemiological information collected in Soroka Medical Center, including hospital and HMO medical records for >300,000 deliveries (Israel), life-style habits and lab results. Subsequently, we will validate the prediction model in the European participating centers (Italy, Hungary and Finland), and identify candidate genes (Finland) and proteins (Hungary) for further analysis. In Phase II, we will recruit a prospective clinical cohort of 1700 pregnant women, administer a questionnaire on life style and dietary factors, and collect samples for further genome, proteome, microbiome and exposome analysis (air pollution and meteorology). This information will be incorporated in a multimodal ‘systems medicine’ approach, to detect personal modifiable risk factors of MSOP. The knowledge on these risk factors early during gestation will enable development of appropriate interventions and thus improve maternal and neonatal health and impact their long-term quality of life.