Matthew J. Girgenti

This paper conducts a large-scale epigenome-wide association study of PTSD in the Million Veteran Program, identifying 272 CpG sites associated with PTSD traits and replicating prior findings.

The paper identifies gene expression changes in brain regions associated with chronic pain, highlighting BLA microglia as a key cell type and finding distinct gene expression patterns compared to other pain-related traits.

This study uses single-nucleus RNA sequencing to show psilocybin and ketamine induce cell type-specific and time-dependent gene expression changes in mouse medial frontal cortex neurons.

This paper uses wearable data and AI to identify genetic associations with psychiatric disorders by creating intermediate phenotypes from continuous physiological features.

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 processes single-nuclei multi-omics data from 388 human brains to identify regulatory elements and build cell-type networks, revealing changes in aging and neuropsychiatric disorders.

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 identifies FEDORA, a lncRNA with sex- and cell-type-specific effects on depression in females.

This study identifies transcriptomic changes and genetic factors associated with PTSD using postmortem brain tissue and GWAS data, revealing sex differences and divergence from MDD.

This study identifies genetic loci associated with PTSD and its symptoms using a large veteran cohort, showing high genetic correlations between symptom sub-domains and potential drug targets.