Fig. 2
From: Comparison of weighting approaches for genetic risk scores in gene-environment interaction studies
External vs. internal weights with increasing number of noise SNPs (up to 200) in scenarios with predominant interaction effects (a) and predominant marginal genetic effects (b). Power, sign-misspecifications and type I error comparison of i) the GRS-interaction-training approach (red lines; one half of the data used as training data and the other half as test data), ii) the GRS-marginal-internal approach (blue lines) and iii) GRS with external weights (black lines). We compared three types of external weights. Perfect: data from the same distribution as the sample data; overestimating: only one of the six risk SNPs of the external data was associated with the outcome in the sample data; underestimating: effect estimates of the risk SNPs in the sample data were 30% larger than in the external data). External weights with “1:1” and “1:4”: Balance between size of sample data vs. size of external data (N = 3000 observations and 1000 replications)
