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Cerebral Cortical Structural Variation and General Cognitive Ability: Evidence From Mendelian Randomization.

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The 1 match
  1. [1] § Materials and Methods › Mendelian Randomization ↔ R/gsmr.R, lines 392–489 · score 0.59 · Mendelian Randomization, genome wide association, Linkage, GWAS, GSMR, instrumental

Paper

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The authors' code

R · 542 lines · 26 KB · no license · 1 match

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Overview

  1. Department of Radiology University of California, San Diego San Diego California USA
  2. Department of Bioengineering University of California, San Diego San Diego California USA
  3. Division of Biostatistics University of Minnesota School of Public Health Minneapolis Minnesota USA
  4. Department of Psychiatry Harvard Medical School Boston Massachusetts USA
  5. College of Science Northeastern University Boston Massachusetts USA
  6. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki Helsinki Finland
Journal: Human brain mapping, volume 47, issue 13, article e70635
Dates: received 25 February 2026; accepted 16 August 2026; published online 30 August 2026; in print September 2026
Type: Research article · Language: English
License: CC BY-NC
Identifiers: DOI 10.1002/hbm.70635 · PMID 42669588 · PMCID PMC13526639 · OpenAlex W7204736479
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: genetics / omics (modality), structural MRI / diffusion (modality), human (organism), cognitive (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions
Keywords: cortical morphology, general cognitive ability, genetically‐informed parcellation, genome‐wide association study, Mendelian randomization
MeSH: Aptitude*, Cerebral Cortex*, Cognition*, Individuality*, Aged, Brain Cortical Thickness, Female, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Mendelian Randomization Analysis, Middle Aged, UK Biobank (* major topic)
Topic: Cognitive Abilities and Testing (Experimental and Cognitive Psychology, Psychology), according to OpenAlex
Funding: National Institutes of Health (R01MH132783); Sigrid Jusélius Foundation and the Research Council of Finland (314639, 345988)
Citations: not cited yet (Europe PMC); 55 references in the paper

Abstract

Understanding the cortical architecture underlying individual differences in general cognitive ability (GCA) remains a central question in cognitive neuroscience. Prior work has established associations between global brain size and GCA, yet the regional effects and directionality of these relationships remain debated. Using a genetically informed cortical parcellation in 11,289 UK Biobank participants, we examined associations between cortical surface area (SA), cortical thickness (CT), and GCA measured via verbal–numerical reasoning. Total SA showed a robust positive association with GCA. At the regional level, dorsolateral prefrontal and superior temporal SA exhibited the strongest positive associations, which persisted after adjustment for global SA. In contrast, CT showed comparatively modest associations. Using Mendelian randomization (MR) with genome‐wide significant genetic instruments, we observed evidence consistent with a bidirectional relationship between total SA and GCA. At the regional level, dorsolateral prefrontal and temporal SA demonstrated evidence of MR‐inferred directional effects on GCA, while GCA showed evidence of MR‐inferred directional effects on total SA and perisylvian thickness. These findings support a polyregional SA architecture underlying GCA, with prominent contributions from prefrontal and temporal association cortices. Our results refine global brain–GCA models and highlight the value of genetically informed parcellation for identifying regional cortical contributions.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Repository

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jianyang-lab/gsmr

License: none: the authors keep all their rights
State: the link answers, verified on 26 September 2026
Evidence: files inventoried
Commit: 53f5034f4ebde2d149930a924449b57f6a36cb85, 13 September 2023
Languages: R (5)
Size: 18 files, 5 scripts
Software Heritage: not archived
Found in: “Data Availability Statement”
Holds: README, environment (DESCRIPTION), documentation, 2 notebooks
Not found: license file, CITATION.cff, tests, continuous integration
Availability: 1 check, the latest on 26 September 2026: the link answers
  • 26 September 2026: the link answers
6 files, not copied: shown from their source

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The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 5 scripts, each with its path and the digest of its content;
  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data Availability Statement

This study utilizes individual‐level genetic and imaging data from the UK Biobank (https://www.ukbiobank.ac.uk/). The genome‐wide association data for cortical regions were provided from our previously published studies, which can be accessed via the GWAS Catalog (https://www.ebi.ac.uk/gwas/publications/35113692 and https://www.ebi.ac.uk/gwas/publications/36893272). The genome‐wide association data for intelligence were obtained directly from the authors upon request, as a means of avoiding overlap with UKB samples, and the original source was from the Psychiatric Genomics Consortium (PGC) (https://pgc.unc.edu/) or the GWAS Catalog (https://www.ebi.ac.uk/gwas/publications/29942086). GSMR method and code are publicly available via the GCTA software repository on GitHub (https://github.com/JianYang‐Lab/gsmr/releases (https://github.com/JianYang-Lab/gsmr/releases)).

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 14 MeSH terms, 2 funders, 55 references.

Cite

This paper

Chou, C., Fiecas, M., del Re, E. C., Vuoksimaa, E., & Chen, C. (2026). Cerebral Cortical Structural Variation and General Cognitive Ability: Evidence From Mendelian Randomization. Human brain mapping, 47(13), e70635. https://doi.org/10.1002/hbm.70635

BibTeX

@article{chou2026cerebral,
author = {Chou, Chun‐Ju and Fiecas, Mark and del Re, Elisabetta C. and Vuoksimaa, Eero and Chen, Chi‐Hua},
title = {{Cerebral Cortical Structural Variation and General Cognitive Ability: Evidence From Mendelian Randomization}},
journal = {Human brain mapping},
year = {2026},
month = sep,
volume = {47},
number = {13},
pages = {e70635},
publisher = {Wiley},
issn = {1065-9471},
doi = {10.1002/hbm.70635},
url = {https://doi.org/10.1002/hbm.70635},
pmid = {42669588},
pmcid = {PMC13526639}
}

RIS

TY - JOUR
AU - Chou, Chun‐Ju
AU - Fiecas, Mark
AU - del Re, Elisabetta C.
AU - Vuoksimaa, Eero
AU - Chen, Chi‐Hua
TI - Cerebral Cortical Structural Variation and General Cognitive Ability: Evidence From Mendelian Randomization
T2 - Human brain mapping
J2 - Hum Brain Mapp
PY - 2026
DA - 2026/09/01
VL - 47
IS - 13
SP - e70635
SN - 1065-9471
PB - Wiley
DO - 10.1002/hbm.70635
UR - https://doi.org/10.1002/hbm.70635
LA - en
ER -

CSL-JSON

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