Donghyung Lee

Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

Batch-effect correction in single-cell RNA sequencing data using JIVE

This study enhances the JIVE method for single-cell RNA sequencing data to correct batch effects and improves its computational efficiency for large-scale datasets.

GAUSS: A comprehensive R package for accurate estimation of linkage disequilibrium for variants, Gaussian imputation and TWAS analysis of cosmopolitan cohorts

GAUSS provides an R package for ancestry-informed imputation and TWAS analysis of GWAS summary statistics without requiring individual-level data.

KOMPUTE: Imputing summary statistics of missing phenotypes in high-throughput model organism data

KOMPUTE imputes missing phenotype summary statistics in the IMPC dataset using conditional distribution properties, outperforming SVD matrix completion methods.

TWAS pathway method greatly enhances the number of leads for uncovering the molecular underpinnings of psychiatric disorders

The paper introduces JEPEGMIX2-P, a TWAS pathway method that improves computational efficiency and performance for psychiatric disorder GWAS, showing increased power over existing methods like MAGMA.

Increasing the resolution and precision of psychiatric GWAS by re-imputing summary statistics using a large, diverse reference panel

This paper improves psychiatric GWAS by re-imputing summary statistics using a larger, more diverse reference panel, revealing new signals from rare variants.

A statistical framework for the robust detection of hidden variation in single cell transcriptomes

This paper introduces IA-SVA, a method to detect hidden variation in scRNA-seq data, showing it captures technical and biological sources and improves clustering of cell subsets.

JEPEGMIX2: improved gene-level joint analysis of eQTLs in cosmopolitan cohorts.

JEPEGMIX2 improves gene-level eQTL analysis by using updated cis-eQTL SNPs and adjusting for background enrichment, reducing false positives in cosmopolitan cohorts.

FIQT: a simple, powerful method to accurately estimate effect sizes in genome scans

FIQT estimates Z-score means from genome scans more accurately and efficiently than existing methods, improving risk prediction in schizophrenia studies.