Genome‑wide polygenic scores for cognitive ability are transitioning from lab findings into social‑science and policy datasets, enabling population‑level prediction of educational and health outcomes and new forms of cohort stratification. That shift creates both research opportunities (causal inference, heterogeneity analysis) and policy risks (early labeling, inequality amplification).
— If polygenic scores become routine in education and public‑health research, they will reshape debate over prediction, intervention, fairness, and data governance.
2026.05.04
100% relevant
The article emphasizes that recent GWAS identified inherited sequence differences accounting for ~20% of the genetic variance in intelligence and calls out genome‑wide polygenic scores as tools for studying causes and consequences.
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