Evidence map›Paper›PMID 41188267›Full record

SynthesisNature communications2025

The Genetic Architecture of the Human Corpus Callosum and its Subregions.

Ravi R Bhatt, Shruti P Gadewar, Ankush Shetty, Iyad Ba Gari, Elizabeth Haddad, Shayan Javid, Abhinaav Ramesh, Elnaz Nourollahimoghadam, Alyssa H Zhu, Christiaan de Leeuw and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. From Stress to Synapse: The Neuronal Atrophy Pathway to Mood Dysregulation.International journal of molecular sciences · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Ravi R Bhatt *Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA. rbhatt@usc.edu.ORCID http://orcid.org/0000-0003-2498-8888
Shruti P Gadewar *Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA. gadewar@usc.edu.ORCID http://orcid.org/0000-0003-4790-0092
Ankush ShettyImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Iyad Ba GariImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.ORCID http://orcid.org/0000-0003-1443-8786
Elizabeth HaddadImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.ORCID http://orcid.org/0000-0002-7622-9085
Shayan JavidImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.ORCID http://orcid.org/0009-0000-8538-2420
Abhinaav RameshImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Elnaz NourollahimoghadamImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Alyssa H ZhuImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Christiaan de LeeuwDepartment of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, VU University, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-1076-9828
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Sarah E MedlandPsychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia.ORCID http://orcid.org/0000-0003-1382-380X
Neda JahanshadImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA. njahansh@usc.edu.ORCID http://orcid.org/0000-0003-4401-8950

Funding

Large-Scale Collaborative Genetic and Epigenetic Studies of Tourette SyndromeR01NS105746 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MATHEWS, CAROL A, PASCHOU, PERISTERA · 2019 to 2023
$3.1M
High resolution mapping of the genetic risk for disease in the aging brainR01AG059874 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA · 2018 to 2022
$3.1M
Global studies into the Genetic Architecture of the Brain's White Matter Network through Harmonized and Coordinated Analyses in the ENIGMA-ConsortiumR01MH134004 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Neda Jahanshad · 2023 to 2026
$2.6M
Tourette Syndrome genetics and neuroimaging international collaborative studyR01MH126213 · NIMH · PURDUE UNIVERSITY · PI Peristera Paschou · 2022 to 2026
$2.5M
Worldwide Tractometry Initiative to Investigate Brain Microstructure, Cognitive Impairment & Dementia in Parkinsons DiseaseRF1NS136995 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA, THOMPSON, PAUL M · 2024 to 2024
$2.2M
Training in the Multiscale and Multimodal Analysis of Biomarkers in Alzheimer’s DiseaseT32AG058507 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARTHUR W TOGA · 2018 to 2026
$2.1M
High Capacity, High Performance Storage System for NeuroscienceS10OD032285 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2022 to 2022
$1.7M
Causal and Event Based Modeling of Brain Alterations in ADRDR01AG087513 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Neda Jahanshad · 2025 to 2026
$1.2M
Department of Health | National Health and Medical Research Council (NHMRC) APP1158127Department of Health | National Health and Medical Research Council (NHMRC) APP1172917National Science Foundation (NSF) NSF GRFP 2020290241NIA NIH HHS R01 AG059874NIA NIH HHS R01 AG087513NIA NIH HHS T32 AG058507NIH HHS S10 OD032285NIMH NIH HHS R01 MH126213NIMH NIH HHS R01 MH134004NINDS NIH HHS R01 NS105746NINDS NIH HHS RF1 NS136995U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) 5R01MH134004U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) 5R01AG059874
6 · The paper itself

Abstract

The corpus callosum (CC) is the largest set of white matter fibers connecting the two hemispheres of the brain. In humans, it is essential for coordinating sensorimotor responses and performing associative or executive functions. Identifying which genetic variants underpin CC morphometry can provide molecular insights into the CC's role in mediating cognitive processes. We developed and used an artificial intelligence based tool to extract the midsagittal CC's total and regional area and thickness in two large public datasets. We performed a genome-wide association study (GWAS) meta-analysis of European participants (combined N = 46,685) with generalization to the non-European participants (combined N = 7040). Post-GWAS analyses implicated prenatal intracellular organization and cell growth patterns, and high heritability in regions of open chromatin. Results suggest programmed cell death mediated by the immune system drives the thinning of the posterior body and isthmus. Genetic overlap, and causal genetic liability, between the CC, cerebral cortex features, and neuropsychiatric disorders such as attention-deficit/hyperactivity, bipolar disorders, and Parkinson's disease were identified.

Indexed as

Corpus CallosumAdultBipolar DisorderFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMiddle AgedParkinson DiseasePolymorphism, Single Nucleotide

Identifiers

PMID41188267
PMCPMC12586663

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.