Amy E. Taylor

This study examines how educational attainment modifies polygenic scores for cardiovascular risk factors using UK Biobank data, finding mixed effects across traits.

Multivariable and two-step Mendelian randomisation recovered direct and indirect effects with little bias in simulations with confounding or measurement error, conditions that biased phenotypic regression mediation.

This study identifies genetic correlations and causal effects between smoking and sleep behaviors using genome-wide association and Mendelian randomization analyses.

This study investigates genetic correlations and causal effects between caffeine consumption and sleep behaviors using GWAS and Mendelian randomization, finding no evidence of genetic or causal links.

The paper investigates how genetic factors influence participation in a longitudinal study, finding polygenic associations with participation rates and highlighting potential biases in genetic studies due to selection.

The paper examines how genetic risk scores for coffee consumption relate to other beverages, finding associations with coffee, tea, and decaffeinated drinks, but not with other beverages or water.

This study uses Mendelian randomisation to show that higher cigarette consumption causally increases coffee intake, with weaker evidence for tea.