Evidence map›Paper›PMID 41356361›Full record

ArticleResearch square2025

Mirror effect of genomic deletions and duplications on cognitive ability across the human cerebral cortex.

Kuldeep Kumar, Sayeh Kazem, Guillaume Huguet, Worrawat Engchuan, Jakub Kopal, Thomas Renne, Omar Shanta, Bhooma Thiruvahindrapuram, Jeffrey MacDonald, Josephine Mollon and 17 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Kuldeep KumarCentre de recherche CHU Sainte-Justine and University of Montréal, Canada.ORCID 0000-0003-3313-135X
Sayeh KazemUniveristy of Montreal.ORCID 0009-0003-2772-5538
Guillaume HuguetCentre Hospitalier Universitaire Sainte-Justine Research Center.ORCID 0000-0002-4746-6030
Worrawat EngchuanThe Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0001-6138-1925
Jakub KopalUniversity of Oslo.ORCID 0000-0002-1201-2872
Thomas RenneUniversity of Montreal.ORCID 0000-0002-1401-1806
Omar ShantaUniversity of California San Diego.
Bhooma ThiruvahindrapuramHospital for Sick Children.ORCID 0000-0003-1128-008X
Jeffrey MacDonaldORCID 0000-0001-5058-2393
Josephine MollonBoston Children's Hospital.ORCID 0000-0003-4557-1838
Laura M SchultzThe Children's Hospital of Philadelphia.ORCID 0000-0001-7506-8235
Emma E M KnowlesBoston Children's Hospital.ORCID 0000-0003-0642-267X
David PorteousUniversity of Edinburgh.ORCID 0000-0003-1249-6106
Gail DaviesThe University of Edinburgh.ORCID 0000-0003-1120-7026
Paul Redmond
Sarah HarrisLothian Birth Cohorts, Dept. Psychology.ORCID 0000-0002-4941-5106
Simon CoxLothian Birth Cohorts, Dept. Psychology.ORCID 0000-0003-4036-3642
Gunter SchumannKing's College London.
Zdenka PausovaCentre de recherche CHU Sainte-Justine, and Department of Pediatrics, University of Montréal, Canada.
Celia GreenwoodDepartment of Human Genetics, McGill University, Montreal, Quebec.ORCID 0000-0002-2427-5696
Tomas PausUniversity of Montreal.ORCID 0000-0003-1495-9338
Stephen SchererHospital for Sick Children.ORCID 0000-0002-8326-1999
Laura AlmasyChildren's Hospital of Philadelphia.
Jonathan SebatUniversity of California, San Diego.
David GlahnDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115;Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-4749-6977
Guillaume DumasCentre de recherche CHU Sainte-Justine and University of Montreal, and Mila, Quebec Artificial Intelligence Institute.
Sebastien JacquemontUniversité de Montréal.ORCID 0000-0001-6838-8767

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Large-Scale Evaluation of the Effect of Rare Genetic Variants on Psychiatric Symptoms and Cognitive AbilityU01MH119690 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI ALMASY, LAURA A., GLAHN, DAVID C · 2019 to 2023
$5.9M
A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers R01DA049238 · NIDA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2023
$2.9M
ENIGMA World Aging CenterR56AG058854 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2018
$683k
6/9: Dissecting the effects of genomic variants on neurobehavioral dimensions in CNVs enriched for neuropsychiatric disorders.U01MH119739 · NIMH · SAINTE-JUSTINE UNIVERSITY HOSPITAL CTR · PI JACQUEMONT, SEBASTIEN · 2020 to 2024
$527k
NIA NIH HHS R56 AG058854NIBIB NIH HHS U54 EB020403NIDA NIH HHS R01 DA049238NIMH NIH HHS U01 MH119690NIMH NIH HHS U01 MH119739Wellcome Trust
6 · The paper itself

Abstract

Cognitive deficits are common across many neurodevelopmental and psychiatric conditions, including those studied in the current set of PGC-CNV papers. How changes in regional gene expression across the cerebral cortex influence cognitive ability remains unknown. Population variation in gene dosage-which significantly impacts gene expression-represents a unique paradigm to address this question. We developed a cerebral-cortex gene-set burden analysis (CC-GSBA) to associate a trait with genomic deletions and duplications that disrupt genes with similar expression profiles across 180 cortical regions. We performed CC-GSBA across 180 cortical regions to test associations with cognitive ability in 260,000 individuals from general population cohorts. Most cortical gene sets were associated with a decrease in cognitive ability when deleted or duplicated, and this novel approach revealed opposing cortical patterns for the effect sizes of deletions and duplications. These cortical patterns of effect sizes followed the cortical gradient previously characterized at the molecular, cellular, and functional levels. We show that genes with preferential expression in sensorimotor regions demonstrated the largest effect on cognition when deleted. At the opposing end of the cortical gradient, genes with preferential expression in multimodal association regions affected cognition the most when duplicated. These two gene dosage cortical patterns could not be explained by particular cell types, developmental epochs, or genetic constraints, highlighting the fact that the macroscopic network organization of the cerebral cortex is key to understanding the effects of gene dosage on cognitive traits.

Identifiers

PMID41356361
PMCPMC12676451

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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.