Beyond years of schooling: Genetic associations across educational milestones in two Norwegian cohorts
Although educational attainment is heritable, years-of-education (EduYears) measures are not designed to show how genetic associations vary across discrete educational milestones. In the Norwegian Mother, Father and Child Cohort Study (MoBa; N = 120,527) and the Norwegian Twin Registry (N = 8,910), we combined genome-wide association studies (GWAS), polygenic indices (PGIs), and twin models to characterize genetic associations with high-school completion and bachelor's, master's, and doctoral attainment. In transition-specific analyses conditional on prior attainment, observed-scale common-variant heritability (h2SNP) and PGI discrimination followed an inverse-U pattern, peaking for progression from high-school completion to attainment of at least a bachelor's degree (HS → BSc + ; h2SNP ≈ 0.14; R2Tjur ≈ 0.05) and declining at postgraduate transitions. Genetic correlations (rg) with large-scale GWAS of EduYears (EA4) and intelligence were high at earlier transitions but lower at later ones (for EA4, rg ≈ 0.92 at HS → BSc+ and ≈ 0.38 at MSc → PhD). In cumulative analyses of attained status in the full cohort, the point-estimate gap between twin- and SNP-based heritability narrowed from ≈ 0.38 at high-school completion to ≈ 0.11 at PhD, while genetic overlap was lower for distant than adjacent milestones (rg ≈ 0.71 for high-school completion versus PhD and ≈ 0.92 for adjacent milestones). Sensitivity analyses using an alternative intelligence GWAS and additional PGIs showed similar transition-specific trajectories. At the doctoral transition, estimates were obtained among individuals who had attained at least a master's degree, so attenuation there must be interpreted in light of selection and range restriction. Because EduYears converts distinct credentials and progression steps into a single numerical scale, estimates expressed per additional year should not be interpreted as though one year has the same meaning across the educational sequence. Milestone-preserving analyses make that hidden structure visible and sharpen the interpretation of education GWAS and PGIs.
Authors
- Torkild Hovde Lyngstad (ORCID: https://orcid.org/0000-0001-7830-9305)
- Yunpeng Wang (ORCID: https://orcid.org/0000-0001-9831-1090)
- Eirik Haugland Kvalvik
- Ole Rogeberg
- Kristine Beate Walhovd
Institutions
- University of Oslo (NO)
- Economic Research Centre (AZ)
Publication Details
- Journal
- PLoS Genetics
- Published
- 2026-09-17
- DOI
- https://doi.org/10.1371/journal.pgen.1012310
- Primary Topic
- Cognitive Abilities and Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Norges Forskningsråd