Maggie A. Stanislawski

EXPLANA is a workflow for analyzing microbiome data in cross-sectional and longitudinal studies, identifying meaningful features and generating interactive reports.

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

This study calibrates polygenic risk scores (PRS) for African American adults based on genetic ancestry, improving risk stratification and effect estimation for type 2 diabetes and height.

This study conducts an epigenome-wide association study (EWAS) meta-analysis of BMI in African American adults, identifying 208 significant CpGs and 54 DMRs associated with BMI, including novel and replicated findings.

Admix-kit provides tools for genetic analysis of admixed populations, enabling simulation, association testing, and polygenic scoring.

The paper develops a multi-omic prediction framework to diagnose IBD using metagenomic, metatranscriptomic, metabolomic, and viromic data, finding that metabolomics and viromics provide stronger predictive power than other omics.