Hang Zhou

The paper identifies STARD9 as a causal gene for dyslipidemias and atherosclerosis, showing how its variants alter lysosomal positioning and cholesterol trafficking with opposing effects on HDL and triglycerides.

This paper designs a stable, high-affinity CR2 binder using deep learning to enhance B cell activation as a vaccine scaffold.

This study identifies sex-specific genetic loci and correlations for alcohol use behaviors and their comorbidities using genome-wide association studies.

This study introduces a DNA foundation model to assess functional genetic variation across diverse populations, demonstrating its utility in understanding Alzheimer's disease risk and ancestry-specific gene expression.

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.

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.

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.

This study conducts a multi-ancestry whole-exome sequencing analysis of alcohol use disorder in two cohorts, identifying genetic variants associated with AUD.

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 paper conducts a genome-wide association study (GWAS) of epiretinal membrane (ERM) in three American populations, identifying significant risk loci and genetic correlations with other traits.

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.

The paper uses polygenic risk scores and phenome-wide association studies to examine pleiotropy in substance use disorders using a deeply phenotyped sample.

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 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.

This study identifies genetic variants shared between schizophrenia and alcohol use disorder, finding both convergent and divergent effects and evidence of brain tissue expression.

This study identifies 178 independent risk loci for depression through a large meta-analysis across multiple cohorts, including fine-mapping and transcriptome-wide association findings.

The paper uses multivariate genomic analysis of 1.5 million people to identify genetic loci related to addiction, antisocial behavior, and health, finding over 500 loci enriched for brain-expressed genes.

This study identifies 29 risk variants for problematic alcohol use through a large meta-analysis and explores its genetic relationships with other traits.

This paper conducts GWAS on anxiety traits in the Million Veteran Program, identifying significant genetic loci and demonstrating genetic overlap with depression.

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.