Shizhen Tang

The paper defines molecular profiles of genetically identified jugular nociceptors and examines their transcriptional responses to allergic airway inflammation.

The paper uses an omnibus xWAS pipeline to integrate snRNA-seq and GWAS data, identifying 91 independent cell-type-specific risk genes for Alzheimer's disease dementia.

This study integrates spatial transcriptomics and snRNA-seq data to improve differential gene expression analysis of AD-related phenotypes, identifying novel genes and pathways not detectable with traditional methods.

This paper introduces VC-TWAS, a novel variance-component TWAS method that improves power for studying complex diseases like Alzheimer's dementia by relaxing assumptions about genetic effects.

This paper introduces BGW-TWAS, a Bayesian method for transcriptome-wide association studies that incorporates both cis- and trans-eQTL information, improving power and identifying novel associations with Alzheimer's disease.