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Fig. 2 | BMC Genetics

Fig. 2

From: Comparison of weighting approaches for genetic risk scores in gene-environment interaction studies

Fig. 2

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)

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