Abstract

Preeclampsia is as a leading cause of maternal and perinatal morbidity and mortality. Prevention, early identification, and individualized treatments may become feasible if reliable early biomarkers can be developed. Towards a systems biology framework, this review synthesizes prior linkage studies and genome scans of preeclampsia with candidates identified in a global gene expression microarray analysis of chorionic villus sampling (CVS) specimens from women who sub-sequently developed preeclampsia. Nearly 40% of these CVS candidate genes occurred in previously identified susceptibility loci for preeclampsia. Integration of genetic epidemiologic and functional gene expression data could help to elucidate preeclampsia as a complex disease resulting from multiple maternal and fetal/placental factors that each contributes a greater or lesser effect. These loci and related candidate genes are set to substantially improve insights into the first trimester pathogenesis of this pregnancy disorder.