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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9568560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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