Age at assessment and achievement measure moderate polygenic score predictions of educational achievement; the adjusted pooled estimate rises to ρ = 0.50¶
Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesisr2·q4·i3large
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2027: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q4 i3 After accounting for mean age at assessment, achievement measure, and sample ancestry, the pooled achievement association increased to ρ = 0.50 (95% CI 0.39–0.61). → Wilding 2024
q4 i? Predictions were stronger in adolescents than in younger children (mean age β = 0.014, p < 0.001). → Wilding 2024 (2)
Evidence¶
Wilding 2024¶
Wilding, K., Wright, M., & von Stumm, S. (2024). Using DNA to Predict Education: a Meta-analytic Review. Educational Psychology Review. https://doi.org/10.1007/s10648-024-09928-4
q4 · i3 · quant-synthesis · r2
Multiple-moderator meta-regression of achievement estimates including mean age, achievement measure, and ancestry; the pooled estimate "increased to ρ = 0.50, p < 0.001 (95% CI from 0.39 to 0.61)", indicative of a large effect size.
"When added simultaneously to the meta-regression model, the association pooled estimate increased to ρ = 0.50, p < 0.001 (95% CI from 0.39 to 0.61)"
Wilding 2024 (2)¶
Wilding, K., Wright, M., & von Stumm, S. (2024). Using DNA to Predict Education: a Meta-analytic Review. Educational Psychology Review. https://doi.org/10.1007/s10648-024-09928-4
q4 · i? · quant-synthesis · r2
Meta-regression moderator effect of mean age at phenotypic assessment on achievement predictions; significant at p < 0.001, "with polygenic score predictions being stronger in adolescents than in younger children", consistent with age-increasing heritability via gene-environment correlations.
"Mean age of assessment (β = 0.014, p < 0.001, 95% CI from 0.007 to 0.021), with polygenic score predictions being stronger in adolescents than in younger children"
Discussion¶
Related Claims¶
- Polygenic scores show a meta-analytic association of ρ = 0.24 with educational achievement
- Sample ancestry significantly moderates polygenic score predictions of educational attainment, with stronger predictions in European-ancestry samples
- Polygenic score predictions are reduced in African American relative to European ancestry samples, significantly so only for educational attainment — related
- Polygenic score predictions of education strengthen as GWAS discovery sample sizes increase — related
- Polygenic scores based on the Lee et al. (2018) GWAS show a meta-analytic association of ρ = 0.27 with educational attainment — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
pgs-achievement-age-grade-moderators-rho-50 |
title |
Age at assessment and achievement measure moderate polygenic score predictions of educational achievement; the adjusted pooled estimate rises to ρ = 0.50 |
description |
Age at assessment and achievement measure moderate polygenic score predictions of educational achievement; the adjusted pooled estimate rises to ρ = 0.50 |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
recheck_by |
2027 |
generated |
by process:wiki-ingest on 2026-10-19 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — wilding-2024, wilding-2024-2 |
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