This page presents an overview of the summary statistics for interaction effects between genetically predicted reaction fluxes and risk allele dosage on coronary atherosclerosis (CAD) risk in UK Biobank participants of European genetic ancestries.
We use two complementary methods to evaluate buffering/amplification in UK Biobank. First, we test for a significant interaction effect size between risk allele dosage and reaction flux value using a Cox proportional-hazards model for CAD risk. Second, for each pair of reaction flux values and risk alleles, we estimate the effect of reaction flux value on CAD risk within each dosage of the risk allele (0, 1, or 2), and Welch’s ANOVA is then used to evaluate the significance of the differences between effect sizes across risk allele dosages. We consider that there is a buffering/amplification of disease susceptibility between a variant and a reaction flux when it is statistically significant with both approaches. Additional files with reaction and variant annotation are also provided.
Only interactions with P < 0.001 in both approaches are displayed. Full summary statistics are available on Zenodo (10.5281/zenodo.14919940).