Evidence map›Paper›PMID 41188532›Full record

ArticleNature genetics2025

Genetic associations with educational fields.

Rosa Cheesman, Ville Anapaz, Sjoerd van Alten, Abdel Abdellaoui, Ralph Porneso, Joakim C Ebeltoft, Ziada Ayorech, Perline A Demange, Espen Moen Eilertsen, Agnes Fauske and 7 more

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Estimating returns to education using the genetic lottery.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. 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

17 authors.

Rosa CheesmanPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway. r.c.g.cheesman@psykologi.uio.no.ORCID http://orcid.org/0000-0002-6543-0402
Ville AnapazInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Sjoerd van AltenSchool of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-0602-8760
Abdel AbdellaouiDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-1088-6784
Ralph PornesoPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.
Joakim C EbeltoftPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.
Ziada AyorechPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.
Perline A DemangePROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.
Espen Moen EilertsenPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.
Agnes FauskeDepartment of Sociology & Human Geography, University of Oslo, Oslo, Norway.
Alexandra HavdahlPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-9268-0423
Hannu LahtinenHelsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland.
Torkild Hovde LyngstadDepartment of Sociology & Human Geography, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0001-7830-9305
Qi QinPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0009-0001-4241-0724
FinnGen
Andrea GannaInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-8147-240X
Eivind YstromPROMENTA Centre, Department of Psychology, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0003-4390-6171

Funding

Genetic Differences in the Causal Effect of Education Quantity and Quality on Cognitive Functioning and Dementia Diagnosis Later in LifeR01AG078522 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Silvia Helena Barcellos · 2022 to 2026
$3.9M
EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101019329EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101045526EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 818420EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 818425Jacobs Foundation 2023-1510-00Ministry of Health and Care Services | Helse Sør-Øst RHF (Southern and Eastern Norway Regional Health Authority) 2019097NIA NIH HHS R01 AG078522Norges Forskningsråd (Research Council of Norway) 274611Norges Forskningsråd (Research Council of Norway) 288083Norges Forskningsråd (Research Council of Norway) 300668Norges Forskningsråd (Research Council of Norway) 325245Norges Forskningsråd (Research Council of Norway) 331640Norges Forskningsråd (Research Council of Norway) 336078Norges Forskningsråd (Research Council of Norway) 336085U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG078522
6 · The paper itself

Abstract

Educational field choices shape careers, wellbeing and the societal skill distribution, yet genetic influences on what people study remain poorly understood. Here we show that genetic factors are associated with educational field specializations using genome-wide association studies (GWASs) across 463,134 individuals from Finland, Norway and the Netherlands (effective n between 40,072 and 317,209). We identified 17 independent genome-wide significant variants linked to 7 of 10 educational fields, with average heritability of 7%. The genetic signal is specific to field choice rather than educational level, persisting after controlling for years of schooling and confounding factors. By examining genetic clustering across specializations, we uncovered two key dimensions: technical versus social and practical versus abstract. We performed GWASs of these components and demonstrated distinct genetic correlations with personality, behavior and socioeconomic status. Our findings demonstrate that genomic research can illuminate 'horizontal' stratification, revealing insights into vocational interests and social sorting beyond traditional attainment measures.

Indexed as

Career ChoiceAdultEducational StatusFemaleFinlandGenome-Wide Association StudyHumansMaleMiddle AgedNetherlandsNorwayPersonalityPolymorphism, Single Nucleotide

Identifiers

PMID41188532
PMCPMC12695639

What OpenQuestion holds

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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.