The review reports that genome‑wide polygenic scores from IQ GWAS now explain about 4% of intelligence variance, and over 10% when combined with education GWAS. Because DNA is fixed, these scores predict outcomes as well at birth as later in life, enabling longitudinal research without repeated testing.
— Treating intelligence polygenic scores as early, causal predictors reshapes debates on education policy, inequality, and the ethics of using genetic information in research and institutions.
2025.10.07
86% relevant
The review explicitly highlights genome‑wide polygenic scores that aggregate thousands of variants to explain a portion of intelligence’s heritability and to enable prediction from fixed DNA—aligning with the idea that PGS can forecast cognitive outcomes from birth.
2021.02.02
70% relevant
The review details advances in GWAS, DNA-based heritability, genetic loci, and genetic correlations for intelligence, and discusses how polygenic methods are now used alongside brain imaging—laying the groundwork for later results that quantify PGS predictive power for intelligence from birth.
2018.07.07
75% relevant
Savage et al. (2018, Nat Genet) is one of the foundational large-scale GWAS of intelligence that produced genome-wide significant loci and functional annotations, enabling construction of IQ polygenic scores later shown to predict a meaningful share of variance from birth.
2018.01.08
100% relevant
Key Points: 'Polygenic scores derived from GWAS of intelligence can now predict 4%… More than 10%… from GWAS of both intelligence and years of education' and 'they predict… from birth'.
← Back to All Ideas