Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Yi-Jun Ge - , Zhongshan Hospital at Fudan University (Autor:in)
  • Bang-Sheng Wu - , Zhongshan Hospital at Fudan University (Autor:in)
  • Yi Zhang - , Zhongshan Hospital at Fudan University (Autor:in)
  • Shi-Dong Chen - , Zhongshan Hospital at Fudan University (Autor:in)
  • Ya-Ru Zhang - , Zhongshan Hospital at Fudan University (Autor:in)
  • Ju-Jiao Kang - , Zhongshan Hospital at Fudan University (Autor:in)
  • Yue-Ting Deng - , Zhongshan Hospital at Fudan University (Autor:in)
  • Ya-Nan Ou - , Qingdao University (Autor:in)
  • Xiao-Yu He - , Zhongshan Hospital at Fudan University (Autor:in)
  • Yong-Li Zhao - , Qingdao University (Autor:in)
  • Kevin Kuo - , Zhongshan Hospital at Fudan University (Autor:in)
  • Qing Ma - , Zhongshan Hospital at Fudan University (Autor:in)
  • Tobias Banaschewski - , Nationales Zentrum für Tumorerkrankungen (NCT) Heidelberg (Autor:in)
  • Gareth J Barker - , King's College Hospital NHS Foundation Trust (Autor:in)
  • Arun L W Bokde - , Trinity College Dublin (Autor:in)
  • Sylvane Desrivières - , King's College Hospital NHS Foundation Trust (Autor:in)
  • Herta Flor - , Nationales Zentrum für Tumorerkrankungen (NCT) Heidelberg (Autor:in)
  • Antoine Grigis - , Commissariat à l’énergie atomique et aux énergies alternatives (CEA) (Autor:in)
  • Hugh Garavan - , Northern Vermont University (Autor:in)
  • Penny Gowland - , Nottingham Trent University (Autor:in)
  • Andreas Heinz - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Rüdiger Brühl - , Physikalisch-Technische Bundesanstalt (Autor:in)
  • Jean-Luc Martinot - , Université Paris-Saclay (Autor:in)
  • Marie-Laure Paillère Martinot - , Université Paris-Saclay (Autor:in)
  • Eric Artiges - , Université Paris-Saclay (Autor:in)
  • Frauke Nees - , Nationales Zentrum für Tumorerkrankungen (NCT) Heidelberg (Autor:in)
  • Dimitri Papadopoulos Orfanos - , Commissariat à l’énergie atomique et aux énergies alternatives (CEA) (Autor:in)
  • Herve Lemaitre - , Commissariat à l’énergie atomique et aux énergies alternatives (CEA) (Autor:in)
  • Tomáš Paus - , University of Montreal (Autor:in)
  • Luise Poustka - , Universitätsmedizin Göttingen (Autor:in)
  • Sarah Hohmann - , Nationales Zentrum für Tumorerkrankungen (NCT) Heidelberg (Autor:in)
  • Sabina Millenet - , Nationales Zentrum für Tumorerkrankungen (NCT) Heidelberg (Autor:in)
  • Juliane H Fröhner - , Klinik und Poliklinik für Psychiatrie und Psychotherapie (Autor:in)
  • Michael N Smolka - , Klinik und Poliklinik für Psychiatrie und Psychotherapie (Autor:in)
  • Nilakshi Vaidya - , Centre for Population Neuroscience and Precision Medicine (PONS) (Autor:in)
  • Henrik Walter - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Robert Whelan - , Trinity College Dublin (Autor:in)
  • Jian-Feng Feng - , Zhongshan Hospital at Fudan University, Zhejiang Normal University (Autor:in)
  • Lan Tan - , Qingdao University (Autor:in)
  • Qiang Dong - , Zhongshan Hospital at Fudan University (Autor:in)
  • Gunter Schumann - , Centre for Population Neuroscience and Precision Medicine (PONS) (Autor:in)
  • Wei Cheng - , Zhongshan Hospital at Fudan University (Autor:in)
  • Jin-Tai Yu - , Zhongshan Hospital at Fudan University (Autor:in)

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.

Details

OriginalspracheEnglisch
Seitenumfang17
FachzeitschriftNature human behaviour
Jahrgang8
Ausgabenummer1
PublikationsstatusElektronische Veröffentlichung vor Drucklegung - 19 Okt. 2023
Peer-Review-StatusJa

Externe IDs

Scopus 85174549596
ORCID /0000-0001-5398-5569/work/150329563
ORCID /0000-0002-8493-6396/work/150330262

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