Evidence map›Paper›PMID 31758750›Full record

ArticleDevelopmental science2020

Predicting educational achievement from genomic measures and socioeconomic status.

Sophie von Stumm, Emily Smith-Woolley, Ziada Ayorech, Andrew McMillan, Kaili Rimfeld, Philip S Dale, Robert Plomin

Abstract read
In one paragraph

Article in Developmental science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed.

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  10. Links between socioeconomic position and cognitive and behavioral regulation in adolescence: The role of pubertal development.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2024
    Article
  11. The Geneticization of Education and Its Bioethical Implications.Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Educational Influences on Late-Life Health: Genetic Propensity and Attained Education.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
  17. Article
  18. Article
  19. Genetic contributions of noncognitive skills to academic development.bioRxiv : the preprint server for biology · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sophie von StummDepartment of Education, University of York, Heslington, York, UK.ORCID 0000-0002-0447-5471
Emily Smith-WoolleyPhysiological Society, London, UK.ORCID 0000-0002-7822-9070
Ziada AyorechBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0002-8372-421X
Andrew McMillanSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Kaili RimfeldSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID 0000-0001-5139-065X
Philip S DaleDepartment of Speech and Hearing Sciences, University of New Mexico, Albuquerque, NM, USA.ORCID 0000-0002-7697-8510
Robert PlominSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID 0000-0002-0756-3629

Funding

Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife2)R01AG046938 · NIA · UNIVERSITY OF COLORADO · PI REYNOLDS, CHANDRA A, WADSWORTH, SALLY J · 2015 to 2024
$18.5M
European Commission 295366European Commission 602768Jacobs FoundationMedical Research Council G0901245Medical Research Council G19/2Medical Research Council MR/M021475/1NIA NIH HHS R01 AG046938US National Institutes of Health AG046938
6 · The paper itself

Abstract

The two best predictors of children's educational achievement available from birth are parents' socioeconomic status (SES) and, recently, children's inherited DNA differences that can be aggregated in genome-wide polygenic scores (GPS). Here, we chart for the first time the developmental interplay between these two predictors of educational achievement at ages 7, 11, 14 and 16 in a sample of almost 5,000 UK school children. We show that the prediction of educational achievement from both GPS and SES increases steadily throughout the school years. Using latent growth curve models, we find that GPS and SES not only predict educational achievement in the first grade but they also account for systematic changes in achievement across the school years. At the end of compulsory education at age 16, GPS and SES, respectively, predict 14% and 23% of the variance of educational achievement. Analyses of the extremes of GPS and SES highlight their influence and interplay: In children who have high GPS and come from high SES families, 77% go to university, whereas 21% of children with low GPS and from low SES backgrounds attend university. We find that the associations of GPS and SES with educational achievement are primarily additive, suggesting that their joint influence is particularly dramatic for children at the extreme ends of the distribution.

Indexed as

Academic SuccessGenomicsSocial ClassAdolescentChildEducational StatusFemaleHumansMaleMultifactorial InheritanceSchoolsUnited Kingdomeducational achievementgene-environment interplaygenome-wide polygenic scoreslongitudinalsocioeconomic status

Identifiers

PMID31758750
PMCPMC7187229

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.