Our approach could be applied to correct index event bias of non-genetic exposures. If the effects of all polygenic SNPs are estimated conditional on the non-genetic exposure, we can estimate the bias through all confounders other than that exposure. The effect of the exposure can then be adjusted in the same way as for the SNPs, giving a new and potentially wide application for GWAS data.
