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Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits

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Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits. / Ge, Yi-Jun; Wu, Bang-Sheng; Zhang, Yi; Chen, Shi-Dong; Zhang, Ya-Ru; Kang, Ju-Jiao; Deng, Yue-Ting; Ou, Ya-Nan; He, Xiao-Yu; Zhao, Yong-Li; Kuo, Kevin; Ma, Qing; Banaschewski, Tobias; Barker, Gareth J; Bokde, Arun L W; Desrivières, Sylvane; Flor, Herta; Grigis, Antoine; Garavan, Hugh; Gowland, Penny; Heinz, Andreas; Brühl, Rüdiger; Martinot, Jean-Luc; Martinot, Marie-Laure Paillère; Artiges, Eric; Nees, Frauke; Orfanos, Dimitri Papadopoulos; Lemaitre, Herve; Paus, Tomáš; Poustka, Luise; Hohmann, Sarah; Millenet, Sabina; Fröhner, Juliane H; Smolka, Michael N; Vaidya, Nilakshi; Walter, Henrik; Whelan, Robert; Feng, Jian-Feng; Tan, Lan; Dong, Qiang; Schumann, Gunter; Cheng, Wei; Yu, Jin-Tai; IMAGEN Consortium.

In: NAT HUM BEHAV, Vol. 8, No. 1, 01.2024, p. 164-180.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Ge, Y-J, Wu, B-S, Zhang, Y, Chen, S-D, Zhang, Y-R, Kang, J-J, Deng, Y-T, Ou, Y-N, He, X-Y, Zhao, Y-L, Kuo, K, Ma, Q, Banaschewski, T, Barker, GJ, Bokde, ALW, Desrivières, S, Flor, H, Grigis, A, Garavan, H, Gowland, P, Heinz, A, Brühl, R, Martinot, J-L, Martinot, M-LP, Artiges, E, Nees, F, Orfanos, DP, Lemaitre, H, Paus, T, Poustka, L, Hohmann, S, Millenet, S, Fröhner, JH, Smolka, MN, Vaidya, N, Walter, H, Whelan, R, Feng, J-F, Tan, L, Dong, Q, Schumann, G, Cheng, W, Yu, J-T & IMAGEN Consortium 2024, 'Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits', NAT HUM BEHAV, vol. 8, no. 1, pp. 164-180. https://doi.org/10.1038/s41562-023-01722-6

APA

Ge, Y-J., Wu, B-S., Zhang, Y., Chen, S-D., Zhang, Y-R., Kang, J-J., Deng, Y-T., Ou, Y-N., He, X-Y., Zhao, Y-L., Kuo, K., Ma, Q., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Desrivières, S., Flor, H., Grigis, A., Garavan, H., ... IMAGEN Consortium (2024). Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits. NAT HUM BEHAV, 8(1), 164-180. https://doi.org/10.1038/s41562-023-01722-6

Vancouver

Ge Y-J, Wu B-S, Zhang Y, Chen S-D, Zhang Y-R, Kang J-J et al. Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits. NAT HUM BEHAV. 2024 Jan;8(1):164-180. https://doi.org/10.1038/s41562-023-01722-6

Bibtex

@article{7bbe26ba1a1c4c198e9931ccaa29e4a4,
title = "Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits",
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.",
author = "Yi-Jun Ge and Bang-Sheng Wu and Yi Zhang and Shi-Dong Chen and Ya-Ru Zhang and Ju-Jiao Kang and Yue-Ting Deng and Ya-Nan Ou and Xiao-Yu He and Yong-Li Zhao and Kevin Kuo and Qing Ma and Tobias Banaschewski and Barker, {Gareth J} and Bokde, {Arun L W} and Sylvane Desrivi{\`e}res and Herta Flor and Antoine Grigis and Hugh Garavan and Penny Gowland and Andreas Heinz and R{\"u}diger Br{\"u}hl and Jean-Luc Martinot and Martinot, {Marie-Laure Paill{\`e}re} and Eric Artiges and Frauke Nees and Orfanos, {Dimitri Papadopoulos} and Herve Lemaitre and Tom{\'a}{\v s} Paus and Luise Poustka and Sarah Hohmann and Sabina Millenet and Fr{\"o}hner, {Juliane H} and Smolka, {Michael N} and Nilakshi Vaidya and Henrik Walter and Robert Whelan and Jian-Feng Feng and Lan Tan and Qiang Dong and Gunter Schumann and Wei Cheng and Jin-Tai Yu and {IMAGEN Consortium}",
note = "{\textcopyright} 2023. The Author(s), under exclusive licence to Springer Nature Limited.",
year = "2024",
month = jan,
doi = "10.1038/s41562-023-01722-6",
language = "English",
volume = "8",
pages = "164--180",
journal = "NAT HUM BEHAV",
issn = "2397-3374",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits

AU - Ge, Yi-Jun

AU - Wu, Bang-Sheng

AU - Zhang, Yi

AU - Chen, Shi-Dong

AU - Zhang, Ya-Ru

AU - Kang, Ju-Jiao

AU - Deng, Yue-Ting

AU - Ou, Ya-Nan

AU - He, Xiao-Yu

AU - Zhao, Yong-Li

AU - Kuo, Kevin

AU - Ma, Qing

AU - Banaschewski, Tobias

AU - Barker, Gareth J

AU - Bokde, Arun L W

AU - Desrivières, Sylvane

AU - Flor, Herta

AU - Grigis, Antoine

AU - Garavan, Hugh

AU - Gowland, Penny

AU - Heinz, Andreas

AU - Brühl, Rüdiger

AU - Martinot, Jean-Luc

AU - Martinot, Marie-Laure Paillère

AU - Artiges, Eric

AU - Nees, Frauke

AU - Orfanos, Dimitri Papadopoulos

AU - Lemaitre, Herve

AU - Paus, Tomáš

AU - Poustka, Luise

AU - Hohmann, Sarah

AU - Millenet, Sabina

AU - Fröhner, Juliane H

AU - Smolka, Michael N

AU - Vaidya, Nilakshi

AU - Walter, Henrik

AU - Whelan, Robert

AU - Feng, Jian-Feng

AU - Tan, Lan

AU - Dong, Qiang

AU - Schumann, Gunter

AU - Cheng, Wei

AU - Yu, Jin-Tai

AU - IMAGEN Consortium

N1 - © 2023. The Author(s), under exclusive licence to Springer Nature Limited.

PY - 2024/1

Y1 - 2024/1

N2 - 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.

AB - 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.

U2 - 10.1038/s41562-023-01722-6

DO - 10.1038/s41562-023-01722-6

M3 - SCORING: Journal article

C2 - 37857874

VL - 8

SP - 164

EP - 180

JO - NAT HUM BEHAV

JF - NAT HUM BEHAV

SN - 2397-3374

IS - 1

ER -