Kaixuan Luo

This paper introduces FGMB, a multi-context regulome-wide association atlas, and applies it to Alzheimer's disease to identify 327 regulatory associations and resolve 86 gene-molecular-trait pairs.

This study develops M-cTWAS to integrate multi-omics and multi-context QTL data with GWAS, improving the discovery of risk genes for complex traits.

The paper constructs a cell-type-resolved chromatin accessibility atlas in the human intestine and identifies regulatory programs and genetic variants associated with Crohn's disease.

This paper introduces GoM DE, a differential expression analysis method that allows cells to have partial membership in multiple groups, improving the interpretation of structure in single-cell sequencing data.

This study integrates single-cell epigenomics with GWAS to identify risk variants and genes for Atrial Fibrillation, highlighting key transcription factors and pathways.

This paper introduces a method to adjust for genetic confounders in transcriptome-wide association studies, improving reliability in detecting causal genes.

The paper introduces TOP, a Bayesian framework that quantifies TF occupancy across many conditions using a single DNase-seq experiment, showing changes in 1500 TF motifs across cell types, hormone exposure, and genetic backgrounds.

The paper shows ancestry-related differences in transcriptional response to influenza are driven by epigenetic variation and genetic control of enhancer activity.

This study uses Hi-C and RNA-seq to analyze 3D chromatin interactions and gene expression in human and chimpanzee iPSCs, finding that lower-order interactions are conserved while higher-order structures like TADs are not, and that inter-species differences in 3D structure correlate with gene expression differences.

The paper examines H3K9me3 marking of transposable elements in human and chimpanzee induced pluripotent stem cells, finding limited species-specificity and no strong link to gene expression divergence.