A deep learning‐based deconvolution framework identifies human brain cell‐type specific expression quantitative trait loci (eQTLs) and pathobiology in Alzheimer’s disease

In summary, this study presented comprehensive brain cell type-specific eQTL analysis and identified potential eQTL-regulated likely causal genes from AD GWAS findings using a deep learning-based deconvolution framework. It offers an opportunity to efficiently discover the effect of GWAS loci on gene expression at cell type-specific manners using genotyping data and matched bulk RNA-seq data instead of costly snRNA-seq data. Functional validation of candidate eQTLs and associated genes are warranted in the future.