Tobias Wolfram, Spencer Moore, Jeremiah H. Li, Jonathan Anomaly, Ivan Davidson, Michael Cronquist Christensen
The interpretation of polygenic scores (PGS) for general cognitive ability (GCA) remains contested, with concerns about indirect genetic effects, environmental confounding, cross-ancestry portability, and the gap between PGS prediction and twin heritability estimates. Relying on a newly constructed PGS using within-family designs in two independent sibling cohorts (UK Biobank, N=4,642 pairs; ABCD, N=736 pairs), we demonstrate that direct genetic effects account for the large majority of PGS prediction (within-family attenuation δ / β ≈ 0.88 ). Correcting for measurement error in brief cognitive assessments, the within-family association with latent general ability is approximately 0.45, substantially higher than observed-scale estimates. Cross-ancestry portability follows theoretical expectations (66% effect retention in African Americans). Within families, higher PGS predicts greater educational attainment, occupational status, and reduced cardiometabolic disease risk, with no evidence for gene-environment interactions or substantial adverse pleiotropy. These findings replicate using a benchmark predictor based on publicly available data, confirming they reflect properties of cognitive genetic architecture rather than idiosyncrasies of a particular score.