Takanori Hasegawa

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

The paper investigates the association between amylase gene copy numbers and diabetes, obesity, and gut microbiome function in a northern Japanese population, finding a positive link between higher amylase copy numbers and these conditions.

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.

The paper introduces an R package for predicting tumor-specific neoantigens from various mutations and integrating additional biological information.

The paper analyzes immuno-genomic data across 31 cancer types to identify immune escape mechanisms and immuno-editing histories.

This paper introduces MASSIVE, a novel sensitivity analysis method for agent-based simulations using parallel computation and visualization, applied to cancer evolution and identifying heterogeneous tumor conditions.