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. 2021 Aug 17;16(8):e0255348. doi: 10.1371/journal.pone.0255348

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© 2021 Hicks et al

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Fig 1 — PGS = polygenic risk score; RI = random intercept factor; GPA = grade point average; R = residual factors at age 11, 14, and 17; CVS = set of covariates including the first five genetic principal components, sex. The two PGS Predictor model for GPA is specifically depicted here for illustrative purposes, but all conditional random intercept models followed this general structure (with either one or two PGS predictor variables). Variances/residual variances and mean structure omitted from figure for clarity of presentation.