Elizabeth Dorans

Efficient genome-wide mapping of reproducible, context-dependent eQTLs at single-cell resolution

The paper introduces Dynema, a method for genome-wide mapping of context-dependent and independent eQTLs at single-cell resolution, showing improved detection compared to pseudobulking approaches.

Distinguishing causal from tagging enhancers using single-cell multiome data

The paper identifies and quantifies non-causal tagging effects in single-cell multiome data, showing how they distort peak-gene associations and proposing methods to mitigate their impact.

Islet-specific DNA hypomethylation identifies gene enhancer loci driving Type 2 Diabetes risk

The paper identifies islet-specific DNA hypomethylated regions linked to T2D risk by integrating DNA methylation data with GWAS and EHR data.

Genetic regulation of cell type-specific chromatin accessibility shapes immune function and disease risk

The paper maps chromatin accessibility and genetic variation in immune cells, showing how integrating cell-type-specific data improves disease risk understanding.

Linking regulatory variants to target genes by integrating single-cell multiome methods and genomic distance

The paper introduces pgBoost, a framework that improves linking regulatory variants to genes by integrating single-cell multiome data and genomic distance, showing higher enrichment than existing methods.