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Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits

Author

Listed:
  • Yi-Jun Ge

    (Fudan University)

  • Bang-Sheng Wu

    (Fudan University)

  • Yi Zhang

    (Fudan University)

  • Shi-Dong Chen

    (Fudan University)

  • Ya-Ru Zhang

    (Fudan University)

  • Ju-Jiao Kang

    (Fudan University)

  • Yue-Ting Deng

    (Fudan University)

  • Ya-Nan Ou

    (Qingdao University)

  • Xiao-Yu He

    (Fudan University)

  • Yong-Li Zhao

    (Qingdao University)

  • Kevin Kuo

    (Fudan University)

  • Qing Ma

    (Fudan University)

  • Tobias Banaschewski

    (Heidelberg University)

  • Gareth J. Barker

    (King’s College London)

  • Arun L. W. Bokde

    (Trinity College Dublin)

  • Sylvane Desrivières

    (King’s College London)

  • Herta Flor

    (Heidelberg University
    University of Mannheim)

  • Antoine Grigis

    (Université Paris-Saclay)

  • Hugh Garavan

    (University of Vermont)

  • Penny Gowland

    (University of Nottingham)

  • Andreas Heinz

    (Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health)

  • Rüdiger Brühl

    (Physikalisch-Technische Bundesanstalt)

  • Jean-Luc Martinot

    (Centre Borelli)

  • Marie-Laure Paillère Martinot

    (Centre Borelli
    Pitié-Salpêtrière Hospital)

  • Eric Artiges

    (Centre Borelli
    EPS Barthélémy Durand)

  • Frauke Nees

    (Heidelberg University
    Heidelberg University
    Kiel University)

  • Dimitri Papadopoulos Orfanos

    (Université Paris-Saclay)

  • Herve Lemaitre

    (Université Paris-Saclay
    Université de Bordeaux)

  • Tomáš Paus

    (University of Montreal
    University of Toronto)

  • Luise Poustka

    (University Medical Centre Göttingen)

  • Sarah Hohmann

    (Heidelberg University)

  • Sabina Millenet

    (Heidelberg University)

  • Juliane H. Fröhner

    (Technische Universität Dresden)

  • Michael N. Smolka

    (Technische Universität Dresden)

  • Nilakshi Vaidya

    (Charité Universitätsmedizin Berlin)

  • Henrik Walter

    (Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health)

  • Robert Whelan

    (Trinity College Dublin)

  • Jian-Feng Feng

    (Fudan University
    Ministry of Education
    Zhejiang Normal University
    Fudan University)

  • Lan Tan

    (Qingdao University)

  • Qiang Dong

    (Fudan University)

  • Gunter Schumann

    (Charité Universitätsmedizin Berlin
    Fudan University)

  • Wei Cheng

    (Fudan University
    Fudan University
    Ministry of Education
    Zhejiang Normal University)

  • Jin-Tai Yu

    (Fudan University)

Abstract

The cerebral ventricles are recognized as windows into brain development and disease, yet their genetic architectures, underlying neural mechanisms and utility in maintaining brain health remain elusive. Here we aggregated genetic and neuroimaging data from 61,974 participants (age range, 9 to 98 years) in five cohorts to elucidate the genetic basis of ventricular morphology and examined their overlap with neuropsychiatric traits. Genome-wide association analysis in a discovery sample of 31,880 individuals identified 62 unique loci and 785 candidate genes associated with ventricular morphology. We replicated over 80% of loci in a well-matched cohort of lateral ventricular volume. Gene set analysis revealed enrichment of ventricular-trait-associated genes in biological processes and disease pathogenesis during both early brain development and degeneration. We explored the age-dependent genetic associations in cohorts of different age groups to investigate the possible roles of ventricular-trait-associated loci in neurodevelopmental and neurodegenerative processes. We describe the genetic overlap between ventricular and neuropsychiatric traits through comprehensive integrative approaches under correlative and causal assumptions. We propose the volume of the inferior lateral ventricles as a heritable endophenotype to predict the risk of Alzheimer’s disease, which might be a consequence of prodromal Alzheimer’s disease. Our study provides an advance in understanding the genetics of the cerebral ventricles and demonstrates the potential utility of ventricular measurements in tracking brain disorders and maintaining brain health across the lifespan.

Suggested Citation

  • Yi-Jun Ge & Bang-Sheng Wu & Yi Zhang & Shi-Dong Chen & Ya-Ru Zhang & Ju-Jiao Kang & Yue-Ting Deng & Ya-Nan Ou & Xiao-Yu He & Yong-Li Zhao & Kevin Kuo & Qing Ma & Tobias Banaschewski & Gareth J. Barker, 2024. "Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits," Nature Human Behaviour, Nature, vol. 8(1), pages 164-180, January.
  • Handle: RePEc:nat:nathum:v:8:y:2024:i:1:d:10.1038_s41562-023-01722-6
    DOI: 10.1038/s41562-023-01722-6
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