Compensating or boosting genetic propensities? Gene-family socioeconomic status interactions by educational outcome selectivity

Bibliographic Data

ID2092894
AuthorsGaia Ghirardi (0000-0001-7680-0627, European University Institute, corresponding author), Fabrizio Bernardi (0000-0002-5544-5184, Universidad Nacional de Educación a Distancia)
Year2025
Volume129
Pages103174
Publication date2025-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science Research (JOURNAL)
Journal identifiersISSN: 0049-089X • E-ISSN: 1096-0317
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ssresearch.2025.103174
OpenAlexW4408817723
LanguageEN
Citations received8
References cited110

This study investigates the extent to which the genetic propensity for education - measured using the polygenic index (PGI) for educational attainment – matters more for the final educational attainment of high or low socio-economic status (SES) students. We propose a model integrating social stratification theories, such as the compensatory and boosting advantage models, into sociogenomics, highlighting the role of educational outcome selectivity. Our model predicts that for low selective educational outcomes (e.g., high school completion), the PGI for education matters more for low-SES individuals, while for highly selective outcomes (e.g., graduate school completion), it matters more for high-SES individuals. We test our model using the National Longitudinal Study of Adolescent to Adult Health, the Health and Retirement Study, and the Wisconsin Longitudinal Study. The results corroborate our predictions and are robust to alternative models’ specifications. Our theoretical model based on the selectivity of the considered outcome explains previous heterogeneous findings and can be generalized to develop testable hypotheses for other cohorts in the US and other countries. It can also be generalized to other studies on compensatory and boosting advantage based on other traits and events and not on PGI. • We study the interaction between genetic propensity for educational attainment and family socio-economic status (SES) in predicting educational outcomes characterized by different levels of selectivity. • We go beyond the Scarr-Rowe hypothesis by integrating social stratification theories to show that the interaction between genetic propensity for educational attainment and family SES varies with the selectivity of the educational outcome. • Using the polygenic index (PGI) for educational attainment, we replicate the same analysis on three US datasets: the National Longitudinal Study of Adolescent to Adult Health, the Health and Retirement Study, and the Wisconsin Longitudinal Study. • The findings support our theoretical model: the PGI for educational attainment matters more for low-SES in less selective outcomes (e.g., high school completion) and for high-SES in highly selective ones (e.g., graduate school completion). • Our model based on outcome selectivity may have implications beyond PGI applications, and we encourage to test it using non-genetic data, such as birth weight or compulsory education performance, to examine their impact on later educational and socioeconomic outcomes

Biology · Boosting (machine learning) · Economics · Environmental health · Gene · Machine learning · Outcome (game theory) · Population · Socioeconomic status · Birth, Development, and Health · Cognitive Abilities and Testing · Computer Science · Genetics · Intergenerational and Educational Inequality Studies · Medicine · Psychology