Evidence map›Paper›PMID 35894163›Full record

ArticleHuman brain mapping2022

Educational attainment polygenic scores, socioeconomic factors, and cortical structure in children and adolescents.

Emily C Merz, Jordan Strack, Hailee Hurtado, Uku Vainik, Michael Thomas, Alan Evans, Budhachandra Khundrakpam

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Metabolic, demographic, and behavioral risk factors predict brain structural variability in the general population: an analysis of the human connectome project young adults.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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 at 2 institutions in 3 countries.

Emily C MerzDepartment of Psychology, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-1950-2345
Jordan StrackDepartment of Psychology, Colorado State University, Fort Collins, Colorado, USA.
Hailee HurtadoDepartment of Psychology, Colorado State University, Fort Collins, Colorado, USA.
Uku VainikUniversity of Tartu, Tartu, Estonia.
Michael ThomasDepartment of Psychology, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0002-3026-7609
Alan EvansMontreal Neurological Institute, McGill University, Montreal, Canada.
Budhachandra KhundrakpamMontreal Neurological Institute, McGill University, Montreal, Canada.ORCID 0000-0001-8095-5656
Colorado State University · USMontreal Neurological Institute and Hospital · CA

Funding

Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
NIDA NIH HHS RC2 DA029475
6 · The paper itself

Abstract

Genome-wide polygenic scores for educational attainment (PGS-EA) and socioeconomic factors, which are correlated with each other, have been consistently associated with academic achievement and general cognitive ability in children and adolescents. Yet, the independent associations of PGS-EA and socioeconomic factors with specific underlying factors at the neural and neurocognitive levels are not well understood. The main goals of this study were to examine the unique contributions of PGS-EA and parental education to cortical structure and neurocognitive skills in children and adolescents, and the associations among PGS-EA, cortical structure, and neurocognitive skills. Participants were typically developing 3- to 21-year-olds (53% male; N = 391). High-resolution, T1-weighted magnetic resonance imaging data were acquired, and cortical thickness (CT) and surface area (SA) were measured. PGS-EA were computed based on the EA3 genome-wide association study of educational attainment. Participants completed executive function, vocabulary, and episodic memory tasks. Higher PGS-EA and parental education were independently and significantly associated with greater total SA and vocabulary. Higher PGS-EA was significantly associated with greater SA in the left medial orbitofrontal gyrus and inferior frontal gyrus, which was associated with higher executive function. Higher parental education was significantly associated with greater SA in the left parahippocampal gyrus after accounting for PGS-EA and total brain volume. These findings suggest that education-linked genetics may influence SA in frontal regions, leading to variability in executive function. Associations of parental education with cortical structure in children and adolescents remained significant after controlling for PGS-EA, a source of genetic confounding.

Indexed as

Academic SuccessAdolescentChildEducational StatusFemaleGenome-Wide Association StudyHumansMaleMultifactorial InheritanceSocioeconomic Factorsbrain structureexecutive functiongeneticssocioeconomic factors

Identifiers

PMID35894163
PMCPMC9582364
OpenAlexW4288067682

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.