Koichiro Higasa

The paper identifies population-specific pQTLs and drug targets in the Japanese population by integrating plasma proteome and genome data.

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 introduces M-VEST, a method for extracting structural features from high-resolution imaging data, and applies it to study Aurora kinase A in mitotic cells.

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.

The paper identifies a batch effect in 1000 Genomes Project data causing spurious mutation calls and affecting GWAS results, suggesting legacy data may need to be retired or upgraded.

LAVENDER identifies latent axes of variability in cytometry data by estimating non-parametric divergence and reconstructing samples in a new coordinate space, revealing biological insights from immunological datasets.