Christian Dillard

This study performs a single-nucleus transcriptome-wide association study to identify gene-trait associations in brain disorders, revealing cell-type-specific genetic regulation and ancestry-specific patterns.

The paper constructs a single-nucleus atlas of genetic regulation in the human brain, identifying cell-type-specific regulatory effects and disease-associated genes.

The paper identifies novel expressed SNVs in tumor and normal scRNA-seq data, revealing a significant number of shared and potentially clinically relevant variants.

SCExecute enables cell barcode-stratified analysis of scRNA-seq data by executing user commands on extracted scBAM files to detect cell-specific variants.

This study shows that analyzing SNVs from individual cell scRNA-seq alignments identifies more SNVs and reveals functional variants compared to pooled analysis.