Hyunjoon Lee

This study evaluates how different modeling choices affect the performance of clinical risk prediction models integrating genetic and clinical data, finding that PRS inclusion benefits vary by integration method and data type.

The paper examines the association between psychiatric polygenic scores and healthcare utilization and comorbidity burden in individuals of European ancestry, finding significant links for major depressive disorder.

This study identifies modifiable comorbidities of schizophrenia by analyzing EHR data and polygenic risk scores, finding conditions with no shared genetic risk that may be influenced by treatment or environment.

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 identifies genes associated with both depression and coronary artery disease that are enriched for inflammation and cardiomyopathy pathways, and finds higher prevalence of cardiomyopathy in individuals with comorbid depression-CAD.