Justin D. Tubbs

The paper identifies 260 genes associated with sleep phenotypes using rare coding variants from large-scale sequencing data, revealing distinct genetic architectures and biological mechanisms across different sleep measurements.

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.

The paper examines how intersectional sociodemographic factors affect genetic risk estimates from polygenic scores across multiple diseases.

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 conducts the first comprehensive genetic analysis of alcohol use disorder in a Nepalese population, identifying a novel genome-wide significant locus and highlighting the need for replication and improved polygenic prediction.

This paper introduces rtPRS-CS, a real-time polygenic risk score method that dynamically updates predictions as new data streams in, improving accuracy for schizophrenia risk across diverse populations.

This study identifies common and rare variant risk loci for ADHD in a Hong Kong population, implicating cerebellar development and immune genes.

This study identifies two distinct genetic factors influencing executive function and attentional control, showing unique links to psychiatric disorders and cognitive phenotypes.

This paper introduces UNSemblePRS, an unsupervised ensemble method for integrating pre-trained polygenic risk scores without phenotype data, showing robust performance across diverse populations.

This study links neurotransmitter pathway polygenic risk to specific symptom profiles in psychosis, identifying associations between glutamate and dopamine pathways with cognitive control and global functioning.

This study shows pathway-specific polygenic scores improve cross-ancestry prediction of psychosis risk and clinical outcomes compared to genome-wide polygenic scores.

The paper extends a method to estimate parent-specific genetic effects on offspring traits, applying it to UK Biobank data to analyze birthweight and BMI.

This paper estimates indirect parental genetic effects on offspring phenotypes using virtual parental genotypes derived from sibling and half-sibling pairs, demonstrating the feasibility of this approach with GWAS data.