Howard J. Edenberg

This study identifies AUD-associated and ethanol-responsive proteins in human cortical organoids and finds candidate biomarkers linked to AUD and ethanol exposure.

The paper develops and validates polygenic scores for substance use disorders across multiple ancestries, finding clinically relevant performance in European and Latinx populations but not in African populations.

This paper conducts a multi-ancestry GWAS of stimulant use disorder, identifies 19 genome-wide significant loci, and finds genetic correlations with other psychiatric and substance use disorders.

This study identifies shared and distinct genetic factors underlying suicidality phenotypes using GWAS and structural equation modelling.

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

The paper identifies novel CNV loci and dose-dependent gene effects across six psychiatric disorders using genome-wide analysis.

The paper identifies shared and divergent genetic mechanisms across psychiatric disorders using gene-set burden analysis of copy number variants.

The paper identifies five genomic factors explaining most genetic variance across 14 psychiatric disorders and finds shared and disorder-specific genetic signals with distinct biological functions.

This study performs a multi-ancestral GWAS of DSM-defined nicotine dependence, finding genetic correlations with other substance use disorders and health traits, and identifying a strong general addiction liability factor.

This study examines how polygenic risk scores for Alcohol Use Disorder affect microglial responses to ethanol exposure in human iPSC-derived microglia.

The paper uses multiomic profiling of the caudate nucleus to identify gene expression and chromatin changes in AUD, linking them to risk genes through QTL analysis.

This study investigates genetic correlations and causal relationships between schizophrenia, cannabis use disorder, and tobacco smoking across African and European ancestries, identifying pleiotropic loci and convergent genetic effects.

The paper investigates how upregulated GIRK2 affects ethanol-induced changes in human neurons, showing it counteracts excitability and respiration changes.

The paper identifies functional 3'-UTR variants linked to alcohol use disorder and related traits using MPRA and GWAS integration.

The paper examines how genetic variants in the cholinergic system affect theta band event-related oscillations, finding age and sex-dependent variations in these associations.

The paper uses polygenic risk scores from GWAS to assess their association with suicidal thoughts and behaviors in a sample with alcohol use disorders, finding significant contributions from multiple PRS.

This study uses machine learning to predict alcohol-related memory problems in older adults by integrating multi-domain features including brain connectivity, polygenic risk, and lifestyle factors.

This paper uses PheWAS to investigate the phenotypic effects of GABRA2 variant rs279858, finding associations with anxiety-related and behavioral traits linked to alcohol use disorders.

This study shows that KCNJ6 noncoding variants increase excitability in human glutamatergic neurons, an effect reversed by ethanol exposure.

The paper examines genetic correlations between PTSD and alcohol-related phenotypes, finding distinct genetic factors for AUD versus alcohol consumption.

This paper conducts a multi-ancestry GWAS meta-analysis of suicide attempt, identifying 12 genome-wide significant loci and finding shared genetic risks with ADHD, smoking, and risk tolerance.

The paper shows that multi-omics integration fails to find true-positive novel genes from underpowered GWAS of brain-related traits, highlighting the need for larger sample sizes.

The paper integrates GWAS data with multi-omics datasets to identify novel genes for alcohol use disorder and link them to neurodegenerative diseases.

This study identifies genetic variants shared between schizophrenia and alcohol use disorder, finding both convergent and divergent effects and evidence of brain tissue expression.

This paper conducts a multivariate GWAS of AUDIT items to correct biases and identify novel genetic associations between alcohol consumption, misuse, and health outcomes.

The paper examines sex-differentiated genetic effects across neuropsychiatric and behavioral traits using GWAS summary statistics and finds small, polygenic sex differences with enriched neuron-related genes.

This study identifies 29 risk variants for problematic alcohol use through a large meta-analysis and explores its genetic relationships with other traits.

The paper compares genome-wide data from opioid use and dependence cases to identify genetic associations and differences between exposure and dependence.

The paper identifies functional variants in human brains with alcohol use disorders by combining allele-specific expression analysis with high-throughput reporter assays.