Ninon Mounier

This study integrates primary care and genetic data to identify multimorbidity patterns and shared genetics across 72 chronic conditions, revealing both concordant and discordant relationships.

This paper introduces MRlap, a method to correct bias in IVW-MR by addressing weak instruments and winner's curse, improving causal effect estimation in Mendelian randomization.

This study performs a GWAS on retinal vessel tortuosity, identifying 173 novel loci and linking them to vascular pathomechanics and cardiometabolic diseases.

The paper reviews current methods for Mendelian randomization and proposes a regression calibration approach to correct for bias in causal effect estimates using GWAS summary data.

The paper uses genetic variation to assess the causal impact of food choices on health outcomes, identifying robust associations between eating patterns and several diseases.

This paper introduces LHC-MR, a method that estimates bidirectional causal effects and heritable confounding from GWAS summary statistics, outperforming existing methods and revealing new causal relationships.

The paper identifies genetic loci associated with lifespan using genome-wide association and shows that variants linked to modern diseases explain most lifespan variation.