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Genetic map of regional sulcal morphology in the human brain from UK biobank data

Genetic associations with macroscopic brain structure can provide insights into brain function and disease. However, specific associations with measures of local brain folding are largely under-explored. Here, we conducted large-scale genome- and exome-wide associations of regional cortical sulcal m...

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Autores principales: Sun, Benjamin B., Loomis, Stephanie J., Pizzagalli, Fabrizio, Shatokhina, Natalia, Painter, Jodie N., Foley, Christopher N., Jensen, Megan E., McLaren, Donald G., Chintapalli, Sai Spandana, Zhu, Alyssa H., Dixon, Daniel, Islam, Tasfiya, Ba Gari, Iyad, Runz, Heiko, Medland, Sarah E., Thompson, Paul M., Jahanshad, Neda, Whelan, Christopher D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568560/
https://www.ncbi.nlm.nih.gov/pubmed/36241887
http://dx.doi.org/10.1038/s41467-022-33829-1
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author Sun, Benjamin B.
Loomis, Stephanie J.
Pizzagalli, Fabrizio
Shatokhina, Natalia
Painter, Jodie N.
Foley, Christopher N.
Jensen, Megan E.
McLaren, Donald G.
Chintapalli, Sai Spandana
Zhu, Alyssa H.
Dixon, Daniel
Islam, Tasfiya
Ba Gari, Iyad
Runz, Heiko
Medland, Sarah E.
Thompson, Paul M.
Jahanshad, Neda
Whelan, Christopher D.
author_facet Sun, Benjamin B.
Loomis, Stephanie J.
Pizzagalli, Fabrizio
Shatokhina, Natalia
Painter, Jodie N.
Foley, Christopher N.
Jensen, Megan E.
McLaren, Donald G.
Chintapalli, Sai Spandana
Zhu, Alyssa H.
Dixon, Daniel
Islam, Tasfiya
Ba Gari, Iyad
Runz, Heiko
Medland, Sarah E.
Thompson, Paul M.
Jahanshad, Neda
Whelan, Christopher D.
author_sort Sun, Benjamin B.
collection PubMed
description Genetic associations with macroscopic brain structure can provide insights into brain function and disease. However, specific associations with measures of local brain folding are largely under-explored. Here, we conducted large-scale genome- and exome-wide associations of regional cortical sulcal measures derived from magnetic resonance imaging scans of 40,169 individuals in UK Biobank. We discovered 388 regional brain folding associations across 77 genetic loci, with genes in associated loci enriched for expression in the cerebral cortex, neuronal development processes, and differential regulation during early brain development. We integrated brain eQTLs to refine genes for various loci, implicated several genes involved in neurodevelopmental disorders, and highlighted global genetic correlations with neuropsychiatric phenotypes. We provide an interactive 3D visualisation of our summary associations, emphasising added resolution of regional analyses. Our results offer new insights into the genetic architecture of brain folding and provide a resource for future studies of sulcal morphology in health and disease.
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spelling pubmed-95685602022-10-16 Genetic map of regional sulcal morphology in the human brain from UK biobank data Sun, Benjamin B. Loomis, Stephanie J. Pizzagalli, Fabrizio Shatokhina, Natalia Painter, Jodie N. Foley, Christopher N. Jensen, Megan E. McLaren, Donald G. Chintapalli, Sai Spandana Zhu, Alyssa H. Dixon, Daniel Islam, Tasfiya Ba Gari, Iyad Runz, Heiko Medland, Sarah E. Thompson, Paul M. Jahanshad, Neda Whelan, Christopher D. Nat Commun Article Genetic associations with macroscopic brain structure can provide insights into brain function and disease. However, specific associations with measures of local brain folding are largely under-explored. Here, we conducted large-scale genome- and exome-wide associations of regional cortical sulcal measures derived from magnetic resonance imaging scans of 40,169 individuals in UK Biobank. We discovered 388 regional brain folding associations across 77 genetic loci, with genes in associated loci enriched for expression in the cerebral cortex, neuronal development processes, and differential regulation during early brain development. We integrated brain eQTLs to refine genes for various loci, implicated several genes involved in neurodevelopmental disorders, and highlighted global genetic correlations with neuropsychiatric phenotypes. We provide an interactive 3D visualisation of our summary associations, emphasising added resolution of regional analyses. Our results offer new insights into the genetic architecture of brain folding and provide a resource for future studies of sulcal morphology in health and disease. Nature Publishing Group UK 2022-10-14 /pmc/articles/PMC9568560/ /pubmed/36241887 http://dx.doi.org/10.1038/s41467-022-33829-1 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sun, Benjamin B.
Loomis, Stephanie J.
Pizzagalli, Fabrizio
Shatokhina, Natalia
Painter, Jodie N.
Foley, Christopher N.
Jensen, Megan E.
McLaren, Donald G.
Chintapalli, Sai Spandana
Zhu, Alyssa H.
Dixon, Daniel
Islam, Tasfiya
Ba Gari, Iyad
Runz, Heiko
Medland, Sarah E.
Thompson, Paul M.
Jahanshad, Neda
Whelan, Christopher D.
Genetic map of regional sulcal morphology in the human brain from UK biobank data
title Genetic map of regional sulcal morphology in the human brain from UK biobank data
title_full Genetic map of regional sulcal morphology in the human brain from UK biobank data
title_fullStr Genetic map of regional sulcal morphology in the human brain from UK biobank data
title_full_unstemmed Genetic map of regional sulcal morphology in the human brain from UK biobank data
title_short Genetic map of regional sulcal morphology in the human brain from UK biobank data
title_sort genetic map of regional sulcal morphology in the human brain from uk biobank data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568560/
https://www.ncbi.nlm.nih.gov/pubmed/36241887
http://dx.doi.org/10.1038/s41467-022-33829-1
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