Verena Zuber

This paper identifies shared genetic loci between inflammation and cancer risk using non-causal associations, revealing potential therapeutic targets.

The paper uses single-cell Mendelian randomisation to identify cell-type specific genetic effects on brain disease and behaviour, revealing 118 genes with causal associations to 16 brain phenotypes.

This paper introduces MrDAG, a Bayesian Mendelian randomization method that models complex dependencies among multiple exposures and outcomes to improve causal effect estimation, highlighting education and smoking as key interventions for mental health.

The paper shows that PHQ9 and CIDI-SF MDD symptoms have low to moderate genetic correlations, with distinct associations to dysphoria and symptom heterogeneity.

This paper introduces Multi-response Mendelian randomization (MR2) to identify shared and distinct exposures for multiple disease outcomes, showing improved power and accuracy by accounting for residual correlations between outcomes.

This study identifies 144 genetic loci associated with abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target through Mendelian Randomization and pre-clinical validation.

This paper prioritises candidate causal genes at 25 atopic dermatitis GWAS loci using a novel pipeline called ADGAPP, identifying both known and novel candidates.

This study uses Mendelian randomization to examine if ACE inhibitors or cardiometabolic risk factors affect lung ACE2 and TMPRSS2 expression or plasma ACE2 levels, finding no overall association.

This study identifies genetic associations with metabolite levels across multiple cohorts and links these variants to clinical outcomes like type 2 diabetes and macular telangiectasia type 2.

This paper introduces MR-BMA, a Bayesian model averaging approach for multivariable Mendelian randomization, to identify causal risk factors from high-throughput data.

MethylCal is a Bayesian tool that calibrates methylation levels by jointly analyzing CpGs in DMRs or CpG islands, improving accuracy in methylation quantification and clinical applications.

This study investigates shared mechanisms between coronary heart disease and depression using UK Biobank data, finding that environmental factors and specific biomarkers like IL-6, CRP, and triglycerides are likely causal for depression.

This paper introduces a heterogeneity-penalized model averaging method for Mendelian randomization that improves efficiency and Type 1 error control when multiple valid instruments are present.

This paper develops a genetic risk score to personalize prostate cancer screening age based on polygenic hazard scores and validates its predictive power in a separate dataset.