Michael C. Stallings

Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits.

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.

Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling

The paper uses genomic structural equation modeling to partition genetic variation between behavioral disinhibition, substance use, and substance use disorder traits.

Investigating heterogeneous genetic effects contributing to smoking behaviors

This paper investigates heterogeneous genetic effects on smoking behaviors using UK Biobank data, finding evidence of sex- and psychiatric disorder-specific genetic associations and improved polygenic risk score prediction with sex-specific effects.

Genetic Association Study of Childhood Aggression across raters, instruments and age

This study conducts a genome-wide association meta-analysis of childhood aggression across multiple raters, instruments, and ages, identifying genetic correlations with various traits but no genome-wide significant SNPs.

Within-sibship GWAS improve estimates of direct genetic effects

In 159,701 siblings from 17 cohorts, population GWAS overstate direct effects on height, education, smoking, cognition, depressive symptoms and age at first birth; clinical traits mostly agree across models.

Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium

The paper compares genome-wide data from opioid use and dependence cases to identify genetic associations and differences between exposure and dependence.

Imputation of Behavioral Candidate Gene Repeat Polymorphisms in 486,551 Publicly-Available UK Biobank Individuals.

The paper imputes four VNTR polymorphisms and one modifying SNP into 486,551 UK Biobank individuals, enabling rigorous testing of their association with psychiatric phenotypes.