Kyuto Sonehara

The paper establishes a global consortium to discover rare genetic associations by integrating data from multiple biobanks, identifying 514 gene-trait associations, many detectable only through cross-ancestry meta-analysis.

The paper uses division-resolved single-cell transcriptomics to study T cell activation and identifies gene programmes linked to immune disease by analyzing variant effects on cell division states.

The paper investigates how genetic and epigenetic variations in CGG repeats affect OPDM patient phenotypes, finding complex relationships between repeat size, sequence context, and methylation.

The paper introduces scLinaX, a method to quantify X chromosome inactivation escape using scRNA-seq, revealing heterogeneity across cell types and tissues.

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

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

The paper reports a genome-wide association study of COVID-19 in a Japanese population, identifying a novel risk variant associated with severe disease in younger patients.