Amy C. Justice

The paper investigates genetic and neural overlaps between alcohol use disorder and BMI, finding polygenic overlap despite minimal genetic correlation and identifying shared brain regions involved in executive function and reward.

Population-stratified GWAS of 2,068 traits in 635,969 Million Veteran Program participants, 29% genetically non-European, yields 98,485 associations and 57,601 fine-mapped signals with largely shared cross-population architecture.

This study identifies 447 new genetic variants associated with prostate-specific antigen levels across multiple ancestries and shows improved cross-ancestry prediction of PSA, with implications for personalized prostate cancer screening.

This study identifies genetic loci associated with alcohol use disorder and consumption, finding distinct genetic architectures and variants with direct effects on AUD.

This study uses multi-trait analysis to identify novel genetic loci for smoking behaviors by leveraging alcohol use disorder GWAS data from the Million Veteran Program.

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.

This study performs a cross-ancestry meta-analysis of opioid use disorder, identifying 14 loci, including 12 novel ones, and finding significant genetic correlations with psychiatric and neurological traits.

This study develops a monocyte-based DNA methylation clock (MonoDNAmAge) and shows its nonlinear relationship with alcohol consumption across three cohorts.

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 identifies a DNA methylation signature linked to phosphatidylethanol (PEth) that better predicts hazardous alcohol consumption than self-reported data in two populations.

This study introduces L-BRAT and RGMMAT for analyzing longitudinal binary traits, identifies loci and pathways related to cocaine use, and replicates findings in an independent GWAS.

This study identifies 18 genome-wide significant loci for alcohol consumption and AUD, finds genetic overlap but also divergence, and highlights the role of central nervous system cells.