Seung Hyuk Lee

The paper introduces ambimux, a method to estimate and demultiplex ambient molecule contamination in single-cell RNA+ATAC multiome data, improving the detection of biologically meaningful signals.

The paper characterizes the epigenomic and 3D genomic landscape of human subcutaneous adipose tissue at the cell-type level and links epigenomic variation to abdominal obesity risk.

This study uses longitudinal single-cell adipose transcriptomics to identify genes and variants associated with weight loss after bariatric surgery and shows that BMI polygenic risk scores predict weight loss outcomes.

This study performs a genome-wide association study for Long COVID, identifying a significant association with the FOXP4 locus and highlighting the role of pulmonary dysfunction and COVID-19 severity.

The paper identifies a locus, SH3BP4, where DNA methylation correlates with mtDNAq and obesity-related traits in adipose tissue, suggesting potential causal relationships.

The paper integrates single-cell omics with biobank data to show SREBF1 risk variants affect adipocyte gene expression in trans, impacting abdominal obesity.

This study compares three sequencing methods for detecting low-frequency mutations in human breast epithelial cells, showing Duplex Sequencing's superior accuracy and ability to correct heat-induced artifacts.