Sarah M. C. Colbert

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

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.

The paper introduces Clorinn, a convex optimization method to decompose genetic variant associations into shared and distinct components across complex traits, showing improved performance in simulations and application to GWAS data.

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 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.

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 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.

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.

This study shows that childhood socioeconomic status and polygenic scores for cognition independently affect cognitive performance in children, with no interaction between the two factors.