Evidence map›Paper›PMID 40696955›Full record

ArticleGenes, brain, and behavior2025

Polygenic Scores of Executive Function Provide Limited Support for Genetic Confounding With Socio-Economic Measures.

Lucas C Perry, Nicolas Chevalier, Michelle Luciano

Abstract read
In one paragraph

Article in Genes, brain, and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Lucas C PerrySchool of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0009-0005-5286-5609
Nicolas ChevalierSchool of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7899-8822
Michelle LucianoSchool of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous work has suggested that genetic confounding is a persistent issue in studies of environmental predictors of executive function (EF). This is largely because controlling for genetic confounding typically requires specialized samples such as twins or adoptees, which are more difficult to recruit. Polygenic scores provide a potential alternative control, scalable to smaller samples and not requiring specialized sample features. The purpose of this study was to determine if polygenic scores of EF could be used to replicate the findings of other genetic confounding studies in a less specialized sample. Confounding models showed evidence for genetic confounding in maternal education, although it was far weaker in magnitude than in other genetically informed studies. However, consistent with previous research, there were no detectable influences of indirect genetic effects on the EF polygenic score, indicating that the detected genetic confounding was likely a true genetic effect. Finally, while environmental factors other than maternal education seemed predictive of EF, confounding models showed that this was best explained by their association with maternal education. Other predictors of EF may thus be confounded environmentally, not just genetically. While polygenic scores are a promising method with a multitude of applications, in their current state they do not replicate the findings of other genetically informed studies of EF. Caution should thus be used when employing them to study genetic confounding in EF.

Indexed as

Executive FunctionMultifactorial InheritanceAdultEducational StatusFemaleHumansMaleSocioeconomic Factorsexecutive functiongenetic confoundingindirect genetic effectsmaternal educationpolygenic scoresprenatal smokingsocio‐economic status

Identifiers

PMID40696955
PMCPMC12284378

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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.