Anna R. Docherty

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

The paper examines how polygenic risk for suicide attempts interacts with alcohol use disorder and childhood adversity to influence suicide attempt risk.

This study identifies 1,257 genetic variants associated with human personality traits using large-scale GWAS and finds widespread genetic correlations with behaviors and life outcomes.

The paper updates a polygenic index repository with more phenotypes, datasets, and improved causal inference methods, enhancing predictive performance and interpretability.

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 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.

This study relaxes GWAS significance thresholds and uses GRIN to identify additional genes linked to suicidal behavior, which replicate across cohorts and show stronger biological connections.

The paper examines genetic overlaps between suicide-related behaviors and substance use disorders using GWAS summary statistics and finds significant genetic correlations but little evidence of causation.

The paper identifies five rare SNPs associated with suicide death using genetic data from the USGRS and controls, highlighting their potential role in suicide risk and related biological processes.

This paper conducts a genome-wide association study of suicide death and shows polygenic scores predict suicide case-control status and related psychiatric traits.

The paper introduces JEPEGMIX2-P, a TWAS pathway method that improves computational efficiency and performance for psychiatric disorder GWAS, showing increased power over existing methods like MAGMA.

This study finds that subthreshold psychosis symptoms in a population-based cohort are associated with genetic risks for schizophrenia, ADHD, autism, and neuroticism, with notable sex differences.

This paper applies genetic path analysis to adjust for pleiotropy in Mendelian randomization, finding education protects against BMI and smoking initiation.

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

The paper identifies 207 genes associated with completed suicide using genomic data from 43 high-risk Utah families, finding four significant variants linked to suicide risk.

The paper examines the heritability of neural activation in the nucleus accumbens during monetary incentive anticipation and its genetic covariance with self-reported pleasure experience in twin pairs.

The paper constructs a polygenic risk atlas for 33 traits in emerging adults and finds genetic risks for schizophrenia, neuroticism, and depression predict various phenotypes.

The paper uses GWAS data to identify polygenic risk scores for drug metabolism pathways, finding that the GO:17144 pathway is significantly predictive of recurrent depressive disorder.

This paper investigates how global polygenic risk scores, sex, and their interaction predict schizophrenia risk using a classification model, finding sex and polygenic risk are the strongest predictors.