Tamara L. Wall

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.

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.

This study finds genetic links between cannabis use and sleep deficits, including eveningness chronotype and insomnia, using LDSC and polygenic risk scores.

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

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.