Yun Ju Sung

This study identifies four novel genetic loci associated with soluble TREM2 levels in CSF through GWAS and provides functional validation of their roles in Alzheimer's disease.

The paper harmonizes CSF and amyloid imaging biomarkers using a Z-score approach and compares it to existing methods in GWAS analyses.

This study investigates the association between Klotho heterozygosity and Alzheimer's disease risk in APOE4 carriers using multiple AD endophenotypes from large cohorts.

The paper identifies novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

GEM enables scalable gene-environment interaction analysis in large samples, identifying novel loci in a gene-sex interaction study.

The paper evaluates methods to handle missing lifestyle data in gene-by-lifestyle interaction meta-analyses and recommends the Safe Approach for accuracy.

The paper introduces MAGEE, a method for efficient gene-environment interaction testing in large biobank-scale sequencing studies, reducing computational burden and enabling analysis of hundreds of thousands of individuals.

The paper integrates genomic and proteomic data across multiple tissues to identify protein quantitative loci (pQTL) and their implications for neurodegenerative diseases.

This paper develops a method to estimate stratified and marginal summary statistics from a joint gene-environment interaction model, demonstrating its accuracy through simulations and real data applications.

The paper analyzes gene-environment interaction effects across multiple ancestries and traits, identifying population-specific genetic mechanisms and methodological biases in GxE studies.

The paper identifies 49 novel blood lipid loci associated with gene-sleep interactions in 126,926 individuals across 5 ancestry groups, with gene-short-sleep interactions explaining 4.25% of triglyceride variance.