Alanna C. Cote

This paper introduces GSR, a method to adjust for pathway overlap in GWAS gene set enrichment, improving the accuracy of identifying biologically relevant pathways.

The paper analyses gene expression of disease-associated genes across 46 tissues and 204 cell types to identify their expression patterns in relation to 11 diseases and cancers.

This paper identifies drug repurposing candidates for chronic pain using genetics and transcriptomics, finding drugs with opposing gene expression effects to the disease.

This study evaluates imputation performance of reference panels in a Pakistani population, finding that ex1KG outperforms TOPMed despite its smaller size.

The paper identifies BMI-dynamic gene expression loci in the brain and gut, showing how BMI interacts with genetic variants to influence gene expression and disease-related pathways.

The paper investigates transcriptional signatures of trauma in human brain regions using RNA-seq data from 304 donors, identifying differential vulnerability of cortical and amygdala regions to different trauma types.

The paper identifies stress-interactive eQTLs that dysregulate gene expression in the brain under stress, uncovering novel genes linked to brain disorder risk in traumatic stress contexts.

The paper uses transcriptomic imputation to identify gene expression changes in brain tissues and blood linked to chronic pain and finds associations with clinical traits.

This study uses transcriptomic imputation to translate AN GWAS findings into gene expression associations, revealing 47 genes linked to AN and their clinical consequences in a biobank cohort.

This study compares confound adjustment methods for gene co-expression network construction and finds that different methods significantly affect network architecture.