Evidence map›Paper›PMID 41687604›Full record

ArticleAmerican journal of human genetics2026

Rare-variant aggregation highlights disease-linked genes associated with brain volume variation.

Douglas P Wightman, Bernardo A P C Maciel, Rachel M Brouwer, Martijn P van den Heuvel, Danielle Posthuma

Abstract read
In one paragraph

Article in American journal of human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Douglas P WightmanDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands. Electronic address: d.p.wightman@vu.nl.
Bernardo A P C MacielDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands.
Rachel M BrouwerDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands.
Martijn P van den HeuvelDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands; Department of Child and Youth Psychiatry, Emma Children's Hospital, Section Complex Trait Genetics, Amsterdam Neuroscience, Amsterdam UMC, 1081 Amsterdam, the Netherlands.
Danielle PosthumaDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 Amsterdam, the Netherlands; Department of Child and Youth Psychiatry, Emma Children's Hospital, Section Complex Trait Genetics, Amsterdam Neuroscience, Amsterdam UMC, 1081 Amsterdam, the Netherlands.

Funding

EPA EP-C-16-015
6 · The paper itself

Abstract

Rare brain disorders often present with changes in brain volume, and variation in brain volume is known to be highly heritable. Recent work studying brain volume variation has largely focused on common variants and structural variants. Rare variants often have large effect sizes and clearer connections to biological mechanisms, but the role of rare variants has not been extensively studied. We performed rare-variant gene aggregation analysis for total brain volume and 43 regional brain volume phenotypes (n = 50,061) to identify genes associated with brain volume variation through loss-of-function and missense variants. We identified and replicated mutations in DISP1 and SCUBE2 that were associated with reduced cerebellar volume and suggest that this was mediated by modifying sonic hedgehog signaling. Additionally, we found an association between mutations in PTEN and macrocephaly that are likely mediated through the PI3K/mTOR pathway and hypothesize that mutations in FA2H influence cerebral white matter volume. Further, we identified 7 genes associated with volume variation in the population and rare brain diseases in ClinVar, supporting the role of mutations in these genes causing diseases and related subclinical phenotypes. Overall, we showed that rare-variant analysis can provide clarity on the biological processes connecting brain volume and disease.

Indexed as

BrainBrain DiseasesGenetic Predisposition to DiseaseGenetic VariationCerebellumHedgehog ProteinsHumansMegalencephalyMembrane ProteinsMutationOrgan SizePhenotypePTEN PhosphohydrolaseSignal TransductionTOR Serine-Threonine KinasesHedgehog ProteinsMembrane ProteinsPTEN PhosphohydrolasePTEN protein, humanTOR Serine-Threonine Kinasesbrain volumecerebellumDISP1exome wide association studyFA2Hneurological diseasePTENrare variantSCUBE2white matter

Identifiers

PMID41687604
PMCPMC13087408

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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.