Emma C. Johnson

The paper identifies genetic risks and phenotypic differences across five nicotine use modes using GWAS in the All of Us Research Program.

This study identifies stable associations between adult personality polygenic indices and childhood behaviors in the ABCD Study, showing early evidence of genetic influence on traits like mental health and impulsivity.

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 sex-specific genetic loci and correlations for alcohol use behaviors and their comorbidities using genome-wide association studies.

This study identifies 1,294 genomic regions and 961 effector genes associated with externalizing disorders, revealing neural mechanisms and polygenic predictors of variance in these conditions.

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.

This paper conducts GWAS on cannabis use frequency and lifetime use, identifies genetic loci, and shows genetic correlations with other traits and diseases.

This study performs a genome-wide association study of chronic pain across six ancestries, identifying two significant loci and showing genetic correlations with mental and physical health traits.

This paper identifies childhood phenotypes associated with genetic risk for elevated CRP using a PheWAS in the ABCD Study, finding associations with weight, eating, and screen time that are largely independent of BMI.

This study investigates the polygenic relationship between cannabis use and schizophrenia using data from the All of Us Research Program, finding independent associations between polygenic scores for cannabis use disorder and schizophrenia.

The paper examines how changes in cognition and neural metrics over time relate to persistent distressing psychotic-like experiences in adolescents, finding that environmental risks are partially explained by these changes.

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 identifies genetic correlations between substance use and aging indices, finding causal effects of tobacco and alcohol use on aging with alcohol effects dependent on quantity.

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.

This paper identifies shared genetic risk loci between ADHD, cannabis use disorder, and cannabis use, and predicts cannabis use disorder risk in ADHD using polygenic scores.

The paper analyzes autozygosity trends across three large cohorts, finding a decline over time with country-specific variations and potential socioeconomic factors influencing the trend.

The paper investigates genetic associations between internalizing and externalizing traits and polysubstance use, finding unique genetic contributions from externalizing traits.

This study performs a multi-ancestry meta-analysis of tobacco use disorder using electronic health records, identifying 88 risk loci and 461 potential risk genes, and linking TUD to various health outcomes.

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.

The paper examines the associations between autozygosity, cognitive ability, and parental educational attainment in a contemporary American sample, finding weaker effects compared to prior studies.

This paper applies MTAG to GWAS of substance use traits, identifying novel genetic loci and showing improved polygenic risk scores for four disorders.

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 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 uses multivariate genomic analysis of 1.5 million people to identify genetic loci related to addiction, antisocial behavior, and health, finding over 500 loci enriched for brain-expressed 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.