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. 2018 Oct 18;8(1):14579.
doi: 10.1038/s41598-018-32621-w.

The genetics of university success

Affiliations

The genetics of university success

Emily Smith-Woolley et al. Sci Rep. .

Abstract

University success, which includes enrolment in and achievement at university, as well as quality of the university, have all been linked to later earnings, health and wellbeing. However, little is known about the causes and correlates of differences in university-level outcomes. Capitalizing on both quantitative and molecular genetic data, we perform the first genetically sensitive investigation of university success with a UK-representative sample of 3,000 genotyped individuals and 3,000 twin pairs. Twin analyses indicate substantial additive genetic influence on university entrance exam achievement (57%), university enrolment (51%), university quality (57%) and university achievement (46%). We find that environmental effects tend to be non-shared, although the shared environment is substantial for university enrolment. Furthermore, using multivariate twin analysis, we show moderate to high genetic correlations between university success variables (0.27-0.76). Analyses using DNA alone also support genetic influence on university success. Indeed, a genome-wide polygenic score, derived from a 2016 genome-wide association study of years of education, predicts up to 5% of the variance in each university success variable. These findings suggest young adults select and modify their educational experiences in part based on their genetic propensities and highlight the potential for DNA-based predictions of real-world outcomes, which will continue to increase in predictive power.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Model-fitting results and 95% confidence intervals for additive genetic (A), shared environment (C), and non-shared environment (E) components of variance for entrance exam achievement, university enrolment, university quality, university achievement and university quality regressed for entrance exam achievement.
Figure 2
Figure 2
Variance explained (R2) and 95% confidence intervals by EduYears genome-wide polygenic score for each of the university success variables.

References

    1. Carnevale, A. P., Cheah, B. & Hanson, A. R. The economic value of college majors. Georgetown University Center on Education and the Workforce (2015).
    1. Hoekstra M. The effect of attending the flagship state university on earnings: A discontinuity-based approach. The Review of Economics and Statistics. 2009;91:717–724. doi: 10.1162/rest.91.4.717. - DOI
    1. Jones EB, Jackson JD. College grades and labor market rewards. The Journal of Human Resources. 1990;25:253–266. doi: 10.2307/145756. - DOI
    1. Bradley RH, Corwyn RF. Socioeconomic status and child development. Annual review of psychology. 2002;53:371–399. doi: 10.1146/annurev.psych.53.100901.135233. - DOI - PubMed
    1. Kovas Y, Haworth C, Dale PS, Plomin R. The genetic and environmental origins of learning abilities and disabilities in the early school years. Monographs of the Society for research in Child Development. 2007;72(vii):1–144. - PMC - PubMed

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