Hiroshi Matsunaga

Trans-ancestry genome-wide analysis of atrial fibrillation provides new insights into disease biology and enables polygenic prediction of cardioembolic risk

This paper identifies new genetic loci for atrial fibrillation through a trans-ancestry meta-analysis and develops a polygenic risk score linked to cardioembolic risk.

Exploring Efficient Linear Mixed Models to Detect Quantitative Trait Locus-by-environment Interactions

This study compares linear mixed models to detect QTL and QTL-by-environment interactions in tomato phenotype data across cropping seasons.

Deep learning-based chest X-ray age serves as a novel biomarker for cardiovascular aging

This paper develops a deep learning model to estimate patient age and sex from chest X-rays, finding that CXR age correlates with cardiovascular aging and disease outcomes.

Transethnic meta-analysis of genome-wide association studies identifies three new loci and characterizes population-specific differences for coronary artery disease

This study identifies three new CAD loci through transethnic GWAS and highlights population-specific genetic differences between Japanese and European populations.

Population-specific and transethnic genome-wide analyses reveal distinct and shared genetic risks of coronary artery disease

This study identifies novel genetic loci for coronary artery disease in Japanese and transethnic populations and develops a polygenic risk score that outperforms population-specific scores.