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Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness ri...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280213/ https://www.ncbi.nlm.nih.gov/pubmed/32514083 http://dx.doi.org/10.1038/s41467-020-16710-x |
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author | Anderson, Kevin M. Collins, Meghan A. Chin, Rowena Ge, Tian Rosenberg, Monica D. Holmes, Avram J. |
author_facet | Anderson, Kevin M. Collins, Meghan A. Chin, Rowena Ge, Tian Rosenberg, Monica D. Holmes, Avram J. |
author_sort | Anderson, Kevin M. |
collection | PubMed |
description | Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness risk remains elusive. Here, we demonstrate stereotyped negative correlation of somatostatin and parvalbumin transcripts within human and non-human primates. Cortical distributions of somatostatin and parvalbumin cell gene markers are strongly coupled to regional differences in functional MRI variability. In the general population (n = 9,713), parvalbumin-linked genes account for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude. Single-marker and polygenic cell deconvolution establish that this relationship is spatially dependent, following the topography of parvalbumin expression in post-mortem brain tissue. Finally, schizophrenia genetic risk is enriched among interneuron-linked genes and predicts cortical signal amplitude in parvalbumin-biased regions. These data indicate that the molecular-genetic basis of brain function is shaped by interneuron-related transcripts and may capture individual differences in schizophrenia risk. |
format | Online Article Text |
id | pubmed-7280213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72802132020-06-16 Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk Anderson, Kevin M. Collins, Meghan A. Chin, Rowena Ge, Tian Rosenberg, Monica D. Holmes, Avram J. Nat Commun Article Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness risk remains elusive. Here, we demonstrate stereotyped negative correlation of somatostatin and parvalbumin transcripts within human and non-human primates. Cortical distributions of somatostatin and parvalbumin cell gene markers are strongly coupled to regional differences in functional MRI variability. In the general population (n = 9,713), parvalbumin-linked genes account for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude. Single-marker and polygenic cell deconvolution establish that this relationship is spatially dependent, following the topography of parvalbumin expression in post-mortem brain tissue. Finally, schizophrenia genetic risk is enriched among interneuron-linked genes and predicts cortical signal amplitude in parvalbumin-biased regions. These data indicate that the molecular-genetic basis of brain function is shaped by interneuron-related transcripts and may capture individual differences in schizophrenia risk. Nature Publishing Group UK 2020-06-08 /pmc/articles/PMC7280213/ /pubmed/32514083 http://dx.doi.org/10.1038/s41467-020-16710-x Text en © The Author(s) 2020 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/. |
spellingShingle | Article Anderson, Kevin M. Collins, Meghan A. Chin, Rowena Ge, Tian Rosenberg, Monica D. Holmes, Avram J. Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk |
title | Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk |
title_full | Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk |
title_fullStr | Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk |
title_full_unstemmed | Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk |
title_short | Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk |
title_sort | transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280213/ https://www.ncbi.nlm.nih.gov/pubmed/32514083 http://dx.doi.org/10.1038/s41467-020-16710-x |
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