Jihye Kim

This study assesses the progress and limitations of polygenic risk score prediction accuracy for common diseases, showing diminishing returns from recent GWAS and highlighting the need for broader variant coverage.

This paper uses deep learning to predict pancreatic cancer risk from clinical disease trajectories in two large datasets, achieving higher accuracy than models without temporal information.

This paper introduces an analytical method to estimate effective sample size in mixed-model GWAS of quantitative traits, showing its performance in unrelated and related individuals.