Keitaro Matsuo

PRANA adapts polygenic risk scores to non-European populations, improving predictive accuracy by 5%-20% in South Asian, East Asian, and Ashkenazi Jewish populations.

The paper sequenced 3,135 Japanese individuals to identify genetic variants and construct a reference haplotype, highlighting the need for diverse population inclusion in genetic catalogs.

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.

The paper examines the impact of S-1 biomarkers on aging and prognosis in elderly lung cancer patients undergoing adjuvant S-1 chemotherapy, finding that high EGFR and low TS expression correlate with better survival outcomes.

This study improves polygenic risk scores for colorectal cancer by combining Asian and European ancestry data, enhancing risk prediction across diverse racial and ethnic groups.

This study conducts a trans-ancestry GWAS of rheumatoid arthritis, identifying 124 loci, 34 novel, and shows improved polygenic risk score performance across populations.

This study identifies 113 genomic loci for SLE in East Asians, including 46 novel loci, and highlights non-immune cell-related biological mechanisms.

This study identifies 14 nephrolithiasis susceptibility loci in the Japanese population, including 9 novel loci, and links them to metabolic and crystallization pathways.

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