Jennifer Nguyen

The paper identifies multi-omic QTLs in early developmental tissues and shows that GWAS loci often involve complex regulatory variants not captured by eQTLs alone.

The paper identifies regulatory network modules in human stem cells, showing epigenetic and genetic factors influence pluripotency state differences.

The paper maps eQTLs in fetal-like pancreatic progenitor cells, identifying regulatory variants that influence diabetes risk by affecting gene expression and splicing in early development.

This study identifies causal genetic variants for cardiac traits by integrating spatiotemporal eQTL analysis with GWAS data, showing stage- and tissue-specific effects.

The paper identifies reactivation of fetal-specific RNA-binding protein isoforms in heart failure, leading to a fetal transcriptome state.

This study identifies genetic loci associated with SARS-CoV-2 susceptibility and disease severity using GWAS and colocalization, and links them to eQTLs in various tissues.

The paper investigates how non-genetic variability in iPSC lines affects their response to WNT inhibition and cardiac differentiation, identifying 91 signature genes and X chromosome dosage differences as key factors.