Joseph D. Deak

Genomic Architecture of Migraine: A Multi ancestry GWAS Meta analysis of 2.5 Million Participants

This study conducts a multi-ancestry GWAS meta-analysis of 2.5 million participants to identify genetic variants associated with migraine and link them to biological pathways and therapeutic targets.

The Genetics of Fibromyalgia and its Relationships to Psychiatric and Medical Traits

This study identifies genetic loci associated with fibromyalgia and finds strong genetic correlations with psychiatric and medical traits.

Multi-ancestry genome-wide association study and meta-analysis of stimulant use disorder reveals biology and relationships to other psychiatric disorders

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.

Genomic insights into substance use and disinhibitory disorders

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.

Genetics of SSRI Antidepressant Use and Relationship to Psychiatric and Medical Traits

This study identifies 40 genome-wide significant loci for SSRI use and finds genetic correlations with psychiatric and medical traits, suggesting SSRI use is a proxy for MDD with distinct genetic architecture.

A contextual genomic perspective on physical activity and its relationship to health, well-being and illness

This study investigates the genetic basis of physical activity across different contexts and finds that leisure-time activity has distinct genetic influences and protective health effects.

Multi-ancestry genetic architecture of sleep duration and its relationship to other sleep and psychiatric phenotypes

This paper conducts a multi-ancestry GWAS of sleep duration, identifying 234 genome-wide significant loci and showing distinct genetic architecture from other sleep and psychiatric traits.

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.

Opioid use disorder and brain health: observational andgenetic associations

This paper investigates the causal impact of opioid use disorder on brain health outcomes using observational and genetic analyses, finding increased dementia risk associated with both OUD diagnoses and genetic predisposition to OUD.

Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program

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.

Genome-wide association study investigating short and long sleep duration: a cross-population meta-analysis

This paper identifies genetic loci associated with short and long sleep duration through a cross-population meta-analysis and explores their genetic correlations and causal relationships with depression.

Multi-trait Analysis of GWAS (MTAG) of Substance Use Traits Identifies Novel Genetic Loci and Phenomic Associations

This paper applies MTAG to GWAS of substance use traits, identifying novel genetic loci and showing improved polygenic risk scores for four disorders.

Genome-wide investigation of maximum habitual alcohol intake (MaxAlc) in 247,755 European and African Ancestry U.S. Veterans informs the relationship between habitual alcohol consumption and alcohol use disorder.

This paper identifies 15 genome-wide significant loci for maximum habitual alcohol intake (MaxAlc) in 247,755 U.S. Veterans and shows strong genetic correlations with alcohol use disorder and psychiatric traits.

Polygenic Scores Predict the Development of Alcohol and Nicotine Use Problems from Adolescence through Young Adulthood

This study shows that polygenic scores for drinking and smoking predict alcohol and nicotine use problems from adolescence to young adulthood, with smoking PGS also capturing broader genetic liability for substance use.

Polygenic Risk Score for Smoking is associated with Externalizing Psychopathology and Disinhibited Personality Traits but not Internalizing Psychopathology in Adolescence

This paper examines if a polygenic risk score for smoking measures genetic risk for behavioral disinhibition by analyzing its associations with externalizing psychopathology, internalizing psychopathology, and personality traits in adolescence.