Ronald C. Kessler

The paper compares two measures of suicidality using genome-wide data, finding that an aggregate phenotype has higher heritability and better predictive power than a genetically derived S-factor.

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

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 investigates gene-environment interactions between polysubstance dependence and suicidal behaviors using two cohorts, finding significant associations and gene clusters linked to these interactions.

This study identifies genetic variants associated with self-reported childhood maltreatment and finds significant genetic correlations with depressive symptoms.

The paper performs a meta-analysis of DNA methylation data from military cohorts to identify CpG sites and regions associated with PTSD development.

This study identifies genetic loci associated with psychological resilience in US Army soldiers using GWAS, finding significant associations with neuroticism and specific genes involved in neuronal survival.

This study examines how polygenic risk and protective factors like unit cohesion and trait resilience affect the risk of depression in US Army soldiers after combat deployment.

This study identifies ten novel methylation loci associated with PTSD through a meta-analysis of 1,896 cases and controls across ten cohorts, highlighting the AHRR locus and its link to kynurenine levels.

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

This study conducts the largest GWAS for PTSD, identifying 6 genome-wide significant loci in European and African ancestries and highlighting novel biological pathways.