Hyojung Ryu

The paper introduces Korea10K, a large genomic dataset of 10,239 Korean genomes with multiomic and clinical data, enabling population-specific variant imputation and insights into genomic-epigenomic regulation.

The paper identifies reactive CpGs and RNA expression changes in early COVID-19 using eQTM analysis, showing reversible molecular shifts linked to disease severity and recovery.

The paper identifies 17 novel DNA methylation biomarkers for anxiety disorders through differential methylation analysis and validates them using machine learning models.

This study develops a transcriptomic clock to predict age from whole blood and shows that physiological stress like COVID-19 can induce reversible age acceleration.

Korea4K presents whole-genome sequences of 4,157 Koreans with 107 health parameters, identifying new genotype-phenotype associations and improving imputation performance.