Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 62,198 bioRxiv papers from 276,130 authors.

Can education be personalised using pupils' genetic data?

By Timothy Morris, Neil M Davies, George Davey Smith

Posted 23 May 2019
bioRxiv DOI: 10.1101/645218

The predictive power of polygenic scores for some traits now rivals that of more classical phenotypic measures, and as such they have been promoted as a potential tool for genetically informed policy. However, how predictive polygenic scores are conditional on other easily available phenotypic data is not well understood. Using data from a UK cohort study, the Avon Longitudinal Study of Parents and Children, we investigated how well polygenic scores for education predict individuals' realised attainment over and above phenotypic data available to schools. Across our sample children's polygenic scores predicted their educational outcomes almost as well as parent's socioeconomic position or education. There was high overlap between the polygenic score and attainment distributions, leading to weak predictive accuracy at the individual level. Furthermore, conditional on prior attainment the polygenic score was not predictive of later attainment. Our results suggest that polygenic scores are informative for identifying group level differences, but they currently have limited use in predicting individual attainment.

Download data

  • Downloaded 436 times
  • Download rankings, all-time:
    • Site-wide: 22,163 out of 62,198
    • In genetics: 1,483 out of 3,537
  • Year to date:
    • Site-wide: 5,825 out of 62,198
  • Since beginning of last month:
    • Site-wide: 17,021 out of 62,198

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide

Sign up for the Rxivist weekly newsletter! (Click here for more details.)