Masashi Hasebe

The paper constructs a genomic atlas of cardiac and adiposity imaging phenotypes using whole-genome sequencing data from UK Biobank, identifying genetic associations and polygenic scores linked to cardiometabolic diseases.

The paper identifies MODY gene variants in a large multi-ancestry cohort, showing incomplete penetrance and comparable diabetes risk between carriers of lower-penetrance variants and high polygenic risk non-carriers.

The paper maps adipokine-associated variants to effector genes across 1,669 traits, identifying TGFB2 and VEGFA as linked to insulin resistance and distinct disease risks.

This study uses proteome-wide Mendelian randomization to identify 18 circulating proteins causally linked to bone mineral density and fracture risk, with TIMP2 showing strong associations with lower BMD and increased fracture risk.

This paper identifies risk proteins for intracranial aneurysms using multi-ancestry proteogenomic analysis and finds ADH4 and PLEKHA1 as non-blood pressure-mediated candidates.

This study identifies OA-specific genetic effects and novel therapeutic targets by separating OA genetics from those shared with obesity using GWAS and proteomics data.