Extended Data Fig. 6: PGI prediction in Add Health, HRS and WLS. | Nature Genetics

Extended Data Fig. 6: PGI prediction in Add Health, HRS and WLS.

From: Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Extended Data Fig. 6: PGI prediction in Add Health, HRS and WLS.The alternative text for this image may have been generated using AI.

Predictive power of the PGI constructed from the current EduYears GWAS results in three independent prediction cohorts: Add Health (N = 5,653), HRS (N = 10,843), and WLS (N = 8,395). For binary phenotypes, the y-axis is incremental Nagelkerke R2. Panel (a): Results for education phenotypes available in Add Health and HRS. Panel (b): Results for cognitive and academic achievement phenotypes available in either Add Health, HRS or WLS. “Δ Total Cognition” and “Δ Verbal Cognition” are wave to wave changes in total and verbal cognition. In both panels, error bars show 95% confidence intervals for the incremental R2, bootstrapped with 1000 iterations each. The number of individuals in the prediction sample for each regression can be found in Supplementary Table 4.

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