Satoshi Yoshiji

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.

This study benchmarks four Bayesian colocalization methods to validate MR-identified protein-trait associations for cardiometabolic traits, finding SharePro most frequently supports significant associations.

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.

This study identifies 36 circulating proteins associated with a shared genetic liability for schizophrenia, depression, and bipolar disorder using genomic and proteomic data.

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 study uses Mendelian randomization to identify circulating proteins associated with cardiovascular traits in African-ancestry populations and finds four proteins uniquely linked to lipids and heart diseases in this group.

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

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 investigates causal links between T2D genetic clusters and non-cardiovascular comorbidities, identifying potential drug repurposing opportunities.

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.

MR Corge performs sensitivity analysis for Mendelian randomization by identifying core instruments to reduce horizontal pleiotropy bias and improve causal effect estimation.

This study uses proteome-phenome-wide Mendelian randomization across three ancestries to identify protein-phenotype associations and potential therapeutic targets.

The paper identifies nephronectin as a mediator of obesity's effect on COVID-19 severity using proteome-wide Mendelian randomization and validates its expression in lung cells.

This study uses whole-exome sequencing to directly call HLA alleles in the UK Biobank, identifying 129 novel associations between HLA alleles and 11 autoimmune diseases.