Leina Lu

The paper identifies functional insulators (FINs) through Hi-C meta-analysis, showing they block enhancer-promoter interactions and are distinct from TAD boundaries.

This study uses eHiCA to identify regulatory interactions at the PICALM-EED locus, showing distinct chromatin interactions for SNPs within a segregating haplotype.

The paper identifies ancestry-specific chromatin architecture differences in Alzheimer's Disease using Hi-C and ATAC-seq data from African and European ancestry individuals.

INFIMA identifies effector genes of GWAS variants by integrating multi-omics data from mice and applying it to diabetes-associated variants.

The paper develops an improved Hi-C protocol and bias-correction pipeline to map chromatin loops in human neurogenesis and brain tissues, showing their role in neural differentiation and GWAS gene identification.

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.

This paper introduces eHi-C, a protocol for 3D genome mapping using small cell populations, achieving high-quality results comparable to traditional Hi-C with fewer cells.