Yasuharu Tabara

The paper develops a model to assess genetic and epigenetic contributions to plasma lipid levels and finds that combining rare variants, PRS, and MRS improves LDL-C prediction.

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

This study identifies 22 novel gene-sleep duration interaction loci for blood pressure traits across 811,405 individuals, highlighting distinct genetic influences of short and long sleep on cardiovascular health.

This study identifies 17 genetic loci associated with sleep duration and lipid levels, offering potential druggable targets for dyslipidemia in individuals with sleep disturbances.

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 identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

This paper identifies 56 new type 2 diabetes loci in 433,540 East Asian individuals through a meta-analysis of GWAS data.

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.