Educational Tracking and the Polygenic Prediction of Education

Hannu Lahtinen, Pekka Martikainen, Kaarina Korhonen, Tim Morris, Mikko Myrskylä

Sociological Science March 18, 2024
10.15195/v11.a8


Educational systems that separate students into curriculum tracks later may place less emphasis on socioeconomic family background and allow individuals’ personal skills and interests more time to manifest. We tested whether postponing tracking from age 11 to 16 results in stronger genetic prediction of education across a population, exploiting the natural experiment of the Finnish comprehensive school reform between 1972 and 1977. The association between polygenic score of education and achieved education strengthened after the reform by one-third among men and those from low-educated families. We observed no evidence for reform effect among women or those from high-educated families. The first cohort experiencing the new system had the strongest increases. From the perspective of genetic prediction, the school reform promoted equality of opportunity and optimal allocation of human capital. The results also suggest that turbulent circumstances, including puberty or ongoing restructuring of institutional practices, may strengthen genetic associations in education.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Hannu Lahtinen: Population Research Unit, University of Helsinki; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
E-mail: hannu.lahtinen@helsinki.fi

Pekka Martikainen: Population Research Unit, University of Helsinki; Max Planck Institute for Demographic Research, Rostock, Germany; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
E-mail: pekka.martikainen@helsinki.fi

Kaarina Korhonen: Population Research Unit, University of Helsinki; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Helsinki, Finland
E-mail: kaarina.korhonen@helsinki.fi

Tim Morris: Centre for Longitudinal Studies, Social Research Institute, University College London
E-mail: t.t.morris@ucl.ac.uk

Mikko Myrskylä: Max Planck Institute for Demographic Research, Rostock, Germany; University of Helsinki, Helsinki, Finland; Max Planck – University of Helsinki Center for Social Inequalities in Population Health, Rostock, Germany and Helsinki, Finland
E-mail: myrskyla@demogr.mpg.de

Acknowledgements: Special thanks for Aysu Okbay for providing education GWAS summary results excluding overlapping samples. We also thank the Finnish National Agency for Education for providing municipal-specific school-reform implementation years. The genetic samples used for the research were obtained from the THL Biobank (study number: THLBB2020_8), and we thank all study participants for their generous participation in the THL Biobank.

Supplemental Material

Replication Package: Instructions for data access and code to reproduce the analysis can be found at https://github.com/halahti/SocSci23

  • Citation: Lahtinen, Hannu, Pekka Martikainen, Kaarina Korhonen, Tim Morris, and Mikko Myrskylä. 2024. “Educational tracking and the polygenic prediction of education.” Sociological Science 11: 186-213.
  • Received: September 19, 2023
  • Accepted: October 31, 2023
  • Editors: Arnout van de Rijt, Nan Dirk de Graaf
  • DOI: 10.15195/v11.a8


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