Jungsoo Gim

This paper develops an APOE-independent polygenic risk score for Alzheimer's disease that shows associations with cognitive decline and neuropathological markers across diverse populations.

This study performs APOE-stratified GWAS to uncover genetic mechanisms underlying Alzheimer's disease risk and response to therapies.

This study introduces a stepwise mapping approach to improve quantitative analyses of low-quality total RNA-seq data, showing it reveals more transcriptome information for differential expression analysis.

GraphMHC predicts neoantigen binding using graph neural networks on molecular structures, achieving high accuracy and showing survival differences in melanoma patients.

This study conducts a multi-ancestry GWAS meta-analysis of Alzheimer's disease, identifies two novel loci, and assesses polygenic risk score generalizability across populations.

DeepParcellation provides accurate 3D MRI parcellation for older East Asians, outperforming existing methods in this demographic.

This study identifies two new potential susceptibility genes for late-onset Alzheimer's disease in East Asians through APOE-stratified GWAS.

BALLI improves differential expression analysis in RNA-seq by addressing small sample bias and providing better power and precision than existing methods.

This paper develops a method integrating family history with genetic data to improve type 2 diabetes risk prediction, showing family history adds significant predictive value beyond genetic variants.