Janice M. Fullerton

This study performs a transcriptome-wide alternative splicing analysis in bipolar disorder, identifying complex splicing events and candidate genes associated with the disorder.

The MadManic cohort integrates multi-omics and digital phenotyping data from over 4,400 participants to study severe mental disorders and suicidality.

The paper introduces a scalable toolkit for 3D surface-based brain analysis, demonstrating its utility in mapping subcortical shape variations across 21 international samples.

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 develops pathway-specific polygenic scores to predict lithium treatment response in bipolar disorder and finds associations with specific biological pathways.

This study uses RNA sequencing in multiplex bipolar disorder families to identify differentially expressed genes and pathways, finding significant lncRNAs and ion homeostasis dysregulation.

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 the conservation of rare schizophrenia risk variants across diverse populations and finds consistent burden in constrained genes.

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

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

The paper constructs a Poly-Methylomic Profile Score (PMPS) for schizophrenia using DNA methylation data and finds it is elevated in schizophrenia cases compared to controls, but not associated with bipolar disorder or symptom severity.

The paper investigates the role of inherited and de novo truncating mutations in high functioning autism and identifies pleiotropic effects of LRP1 variants across psychiatric phenotypes.

This paper analyzes CNTNAP2's role in psychiatric disorders using genomic data and finds it unlikely to be a primary risk gene.

The paper shows that polygenic scores for depression traits predict lithium response in bipolar disorder patients, with lower genetic load linked to better treatment outcomes.

This study finds that a higher genetic risk for schizophrenia is linked to poorer lithium response in bipolar disorder patients, suggesting potential for personalized treatment strategies.