Lei Hou

This study develops cEpiNets to connect Alzheimer's disease genetics to microglial inflammatory responses by integrating epigenomic data across contexts.

This study integrates genotype, epigenome, and phenotype data to show immune cells contribute to bipolar disorder pathogenesis, heterogeneity, and therapy through epigenomic and genetic mechanisms.

The paper uses single-nuclei RNA-seq and spatial transcriptomics to analyze gene expression changes in the right atrium of patients with ischemic heart disease, revealing inflammatory microvascular dysfunction and altered tissue composition.

The paper deconvolves 3,387 post-mortem brain samples using SPLITR to identify cell-type-specific eQTLs and genetic effects in mental disorders.

The paper presents a large ASE resource from GTEx v8 with 431 million SNP-level and 153 million haplotype-level measurements, and extends phASER to estimate cis regulatory variant effect sizes.

The paper uses bulk RNA-seq data to estimate cell type abundances and identifies cell type interaction QTLs that provide finer resolution of tissue specificity than bulk cis-eQTLs.

The paper examines telomere length variation across 6,391 tissue samples from 952 individuals, showing tissue-specific differences, positive correlations between tissues, and associations with age and ancestry.

Integrating expression, allelic expression and splicing across tissues identifies rare variants with relevance to traits.

The paper quantifies protein levels across 32 human tissues and compares them to transcriptome data, revealing insights into post-transcriptional regulation and disease mechanisms.

The paper identifies genomic variants regulating junction-skipping using RNA-seq and GWAS data to understand their role in complex diseases.