Pregnancy Genomics Lab

Our Research Projects

Our lab is committed to advancing knowledge of pregnancy and birth outcomes through a variety of genomic and multi-omics approaches. Below is an overview of our key research directions.

1. Integrating Genomic Studies of Gestational Duration and Birth Weight

We investigate two closely linked birth outcomes—gestational duration and birth weight—by analyzing both maternal and fetal genetic contributions. By leveraging large cohorts and novel statistical methods, we aim to uncover how these outcomes are genetically interconnected and how they relate to longer-term health, ultimately providing insights for preventing adverse pregnancy outcomes.

2. Genomics of Pregnancy Outcomes and Multi-Omics in LMICs

In collaboration with the Multi-Omics for Mothers and Infants (MOMI) Consortium, we employ low-pass whole-genome sequencing and other omics technologies to study pregnancy phenotypes in diverse populations across low- and middle-income countries. By comparing genetic and environmental factors in these understudied populations, we aim to identify genetic variants that influence gestational duration, fetal growth, and maternal health—ultimately reducing disparities in global birth outcomes.

3. Epigenomics of Pregnancy Outcomes and Prediction Using Epigenomic Marks

Recognizing the critical role of gene–environment interactions during pregnancy, we examine DNA methylation patterns in both mothers and newborns. Our goals are to identify epigenetic changes linked to adverse outcomes, chart how these changes evolve throughout pregnancy, and explore the potential for epigenomic biomarkers to predict complications. This work integrates seamlessly with our multi-omics approach to uncover the mechanisms driving pregnancy health.

4. Functional Studies of Genes and Genetic Variants Associated with Pregnancy Outcomes

Beyond identifying genetic loci through large-scale genomic analyses, we conduct in-depth experiments to validate and characterize these variants in cell-based systems, animal models, and multi-omics assays. This often involves assessing gene expression, leveraging CRISPR-based editing, and examining downstream molecular pathways in relevant tissues. By pinpointing how specific genes and variants influence conditions such as preterm birth or restricted fetal growth, we aim to translate genetic discoveries into actionable strategies that improve maternal and neonatal health.