Minyoung Cho

SingleBrain integrates snRNA-seq and genotype data to map cis-eQTLs across brain cell types, identifying novel disease-associated genes and causal variants.

The paper identifies NMNAT2 regulatory elements and associated genes using 4C-seq and bioinformatics in human cells, showing correlations with mRNA levels in single-nuclei RNA-seq datasets.

This study identifies cell-type-specific druggable targets in Alzheimer's disease by integrating GWAS and eQTL data across multiple cell types and datasets.

This study performs a GWAS on creativity using 241,736 individuals, identifying 25 loci and showing genetic overlap with several psychiatric disorders.