Carmen J. Marsit

This study identifies microRNA signatures associated with spontaneous preterm birth and links them to target genes involved in immune signaling and oxidative phosphorylation.

This study constructs a high-resolution placental mQTL resource and investigates how placental DNA methylation relates to early- and later-life traits and their shared vulnerability.

The paper identifies placental DNA methylation (DNAm) as a potential mediator of genetic risk for schizophrenia, bipolar disorder, and major depressive disorder using mQTL and GWAS data.

This study examines DNA methylation changes in placental samples from mothers treated with SSRIs during pregnancy and finds no significant differentially methylated CpGs.

The paper develops epigenetic clocks to estimate post-menstrual and postnatal age in preterm infants using DNA methylation data from buccal cells.

This study identifies placental DNA methylation changes linked to maternal smoking during pregnancy and their associations with birth outcomes using data from the PACE consortium.

This study shows that developmental circadian disruption in mice alters placental gene expression and immune cell markers, potentially increasing adult chronic disease risk.

The paper identifies placental gene-trait associations across the life course using multi-omics data, finding genetic effects on early-life traits but not later ones.

The paper identifies microRNAs in placental tissue associated with familial cardiovascular disease using RNA sequencing and statistical modeling.

The paper uses multi-omic kernel aggregation to predict intellectual and social impairment in extremely preterm children, finding strong predictive power for IQ and SRS scores.

The paper identifies miR-532 as a microRNA associated with birthweight percentile through regulation of adipokines in two independent cohorts.

The paper develops PlaNET, a DNA methylation-based ethnicity classifier for placental samples, achieving high accuracy and outperforming existing methods in population stratification correction.

This study identifies genetic effects on birth weight and their impact on cardio-metabolic traits, distinguishing fetal and maternal contributions.

The paper maps 5-hydroxymethylcytosine (5hmC) distribution in normal breast tissue and links it to gene regulation and cancer prevention.

The paper develops and validates M2EFM, a methylation-to-expression model, to predict breast cancer outcomes across multiple cohorts with good accuracy and clinical utility.