Apostolos Gkatzionis

The paper applies a multivariate two-sample Mendelian Randomisation approach to estimate causal effects on disease progression intercept and slope using Parkinson's cohorts.

This paper reviews statistical methods to detect and adjust for collider bias in genetic and Mendelian randomization studies of disease progression using individual and summary-level data.

This paper introduces a Bayesian variable selection algorithm for Mendelian randomization that identifies genetic variants with minimal pleiotropy, showing significant risk-increasing effects of blood pressure on coronary heart disease.

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.