Yun-Chul Hong

Stratifying Lung Adenocarcinoma Risk with Multi-ancestry Polygenic Risk Scores in East Asian Never-Smokers

The paper develops and validates multi-ancestry polygenic risk scores for LUAD in East Asian never-smokers, showing improved risk prediction compared to East Asian-only models.

Predicting Lung Cancer in Korean Never-Smokers with Polygenic Risk Scores

This study develops a lung cancer prediction model for Korean never-smokers using polygenic risk scores, finding higher odds ratios and improved AUC with PRSs.

Winners curse correction and variable thresholding improve performance of polygenic risk modeling based on summary-level data from genome-wide association studies

This paper improves polygenic risk scores by applying winners curse correction and variable thresholds to GWAS summary data, enhancing prediction accuracy for some diseases.