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Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency

Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 partic...

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Autores principales: Bell, Steven, Tozer, Daniel J., Markus, Hugh S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440133/
https://www.ncbi.nlm.nih.gov/pubmed/36056064
http://dx.doi.org/10.1038/s41598-022-19106-7
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author Bell, Steven
Tozer, Daniel J.
Markus, Hugh S.
author_facet Bell, Steven
Tozer, Daniel J.
Markus, Hugh S.
author_sort Bell, Steven
collection PubMed
description Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 participants of European ancestry in the UK Biobank. We found that the heritability of global network efficiency was largely explained by blood oxygen level-dependent (BOLD) resting state fluctuation amplitudes (RSFA), which are thought to reflect the vascular component of the BOLD signal. RSFA itself had a significant genetic component and we identified 24 genomic loci associated with RSFA, 157 genes whose predicted expression correlated with it, and 3 proteins in the dorsolateral prefrontal cortex and 4 in plasma. We observed correlations with cardiovascular traits, and single-cell RNA specificity analyses revealed enrichment of vascular related cells. Our analyses also revealed a potential role of lipid transport, store-operated calcium channel activity, and inositol 1,4,5-trisphosphate binding in resting-state BOLD fluctuations. We conclude that that the heritability of global network efficiency is largely explained by the vascular component of the BOLD response as ascertained by RSFA, which itself has a significant genetic component.
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spelling pubmed-94401332022-09-04 Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency Bell, Steven Tozer, Daniel J. Markus, Hugh S. Sci Rep Article Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 participants of European ancestry in the UK Biobank. We found that the heritability of global network efficiency was largely explained by blood oxygen level-dependent (BOLD) resting state fluctuation amplitudes (RSFA), which are thought to reflect the vascular component of the BOLD signal. RSFA itself had a significant genetic component and we identified 24 genomic loci associated with RSFA, 157 genes whose predicted expression correlated with it, and 3 proteins in the dorsolateral prefrontal cortex and 4 in plasma. We observed correlations with cardiovascular traits, and single-cell RNA specificity analyses revealed enrichment of vascular related cells. Our analyses also revealed a potential role of lipid transport, store-operated calcium channel activity, and inositol 1,4,5-trisphosphate binding in resting-state BOLD fluctuations. We conclude that that the heritability of global network efficiency is largely explained by the vascular component of the BOLD response as ascertained by RSFA, which itself has a significant genetic component. Nature Publishing Group UK 2022-09-02 /pmc/articles/PMC9440133/ /pubmed/36056064 http://dx.doi.org/10.1038/s41598-022-19106-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bell, Steven
Tozer, Daniel J.
Markus, Hugh S.
Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency
title Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency
title_full Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency
title_fullStr Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency
title_full_unstemmed Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency
title_short Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency
title_sort genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440133/
https://www.ncbi.nlm.nih.gov/pubmed/36056064
http://dx.doi.org/10.1038/s41598-022-19106-7
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