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. Author manuscript; available in PMC: 2022 Jan 1.
Published in final edited form as: Genomics. 2020 Dec 2;113(1 Pt 1):111–119. doi: 10.1016/j.ygeno.2020.11.032

Figure 3. Predicting effect size distribution with natural selection, functional annotation, and phenotype heterogeneity.

Figure 3.

Summary of models predicting effect size distribution parameters. (A) Median-based linear models (MBLM) for predicting effect size distribution descriptive statistics with a single unstandardized independent variable. Larger font indicates at least nominal significance for the respective effect of each independent variable on the outcome effect size distribution descriptive statistic. (B and C) Generalized (GAM) additive (B) and interactive (C) models of effect size distribution descriptive statistics using individually significant predictors of each metric (from A). Prior to testing the addition of heterogeneity information, each model was re-evaluated in psychiatric disorders only.