John I. Nürnberger

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

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.

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 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 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 examines associations between suicide-related polygenic risk scores and brain structure variability in young people with familial risk of bipolar disorder.

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 shows that bipolar disorder patient-derived neurons exhibit circadian rhythm abnormalities, with lithium non-responders showing more severe deficits that can be partially reversed by temperature entrainment.

This study uses polygenic risk scores to predict substance use disorders in two samples, finding increased risk with higher scores but limited clinical utility.

The paper identifies 129 differentially expressed genes in the PFC of alcoholics and links them to pathways and modules associated with alcohol dependence and consumption.

Cross-disorder meta-analysis of eight psychiatric GWAS (232,964 cases, 494,162 controls) reports 109 loci shared by two or more disorders and three groups of correlated disorders.

This study conducts a trans-ancestral GWAS of alcohol dependence, identifying genetic variants and correlations with psychiatric disorders.