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Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism
Autism spectrum disorder (ASD) is a phenotypically and genetically heterogeneous neurodevelopmental disorder. Despite this heterogeneity, previous studies have shown patterns of molecular convergence in post-mortem brain tissue from autistic subjects. Here, we integrate genome-wide measures of mRNA...
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/PMC7519165/ https://www.ncbi.nlm.nih.gov/pubmed/32978376 http://dx.doi.org/10.1038/s41467-020-18526-1 |
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author | Ramaswami, Gokul Won, Hyejung Gandal, Michael J. Haney, Jillian Wang, Jerry C. Wong, Chloe C. Y. Sun, Wenjie Prabhakar, Shyam Mill, Jonathan Geschwind, Daniel H. |
author_facet | Ramaswami, Gokul Won, Hyejung Gandal, Michael J. Haney, Jillian Wang, Jerry C. Wong, Chloe C. Y. Sun, Wenjie Prabhakar, Shyam Mill, Jonathan Geschwind, Daniel H. |
author_sort | Ramaswami, Gokul |
collection | PubMed |
description | Autism spectrum disorder (ASD) is a phenotypically and genetically heterogeneous neurodevelopmental disorder. Despite this heterogeneity, previous studies have shown patterns of molecular convergence in post-mortem brain tissue from autistic subjects. Here, we integrate genome-wide measures of mRNA expression, miRNA expression, DNA methylation, and histone acetylation from ASD and control brains to identify a convergent molecular subtype of ASD with shared dysregulation across both the epigenome and transcriptome. Focusing on this convergent subtype, we substantially expand the repertoire of differentially expressed genes in ASD and identify a component of upregulated immune processes that are associated with hypomethylation. We utilize eQTL and chromosome conformation datasets to link differentially acetylated regions with their cognate genes and identify an enrichment of ASD genetic risk variants in hyperacetylated noncoding regulatory regions linked to neuronal genes. These findings help elucidate how diverse genetic risk factors converge onto specific molecular processes in ASD. |
format | Online Article Text |
id | pubmed-7519165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75191652020-10-14 Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism Ramaswami, Gokul Won, Hyejung Gandal, Michael J. Haney, Jillian Wang, Jerry C. Wong, Chloe C. Y. Sun, Wenjie Prabhakar, Shyam Mill, Jonathan Geschwind, Daniel H. Nat Commun Article Autism spectrum disorder (ASD) is a phenotypically and genetically heterogeneous neurodevelopmental disorder. Despite this heterogeneity, previous studies have shown patterns of molecular convergence in post-mortem brain tissue from autistic subjects. Here, we integrate genome-wide measures of mRNA expression, miRNA expression, DNA methylation, and histone acetylation from ASD and control brains to identify a convergent molecular subtype of ASD with shared dysregulation across both the epigenome and transcriptome. Focusing on this convergent subtype, we substantially expand the repertoire of differentially expressed genes in ASD and identify a component of upregulated immune processes that are associated with hypomethylation. We utilize eQTL and chromosome conformation datasets to link differentially acetylated regions with their cognate genes and identify an enrichment of ASD genetic risk variants in hyperacetylated noncoding regulatory regions linked to neuronal genes. These findings help elucidate how diverse genetic risk factors converge onto specific molecular processes in ASD. Nature Publishing Group UK 2020-09-25 /pmc/articles/PMC7519165/ /pubmed/32978376 http://dx.doi.org/10.1038/s41467-020-18526-1 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 Ramaswami, Gokul Won, Hyejung Gandal, Michael J. Haney, Jillian Wang, Jerry C. Wong, Chloe C. Y. Sun, Wenjie Prabhakar, Shyam Mill, Jonathan Geschwind, Daniel H. Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism |
title | Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism |
title_full | Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism |
title_fullStr | Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism |
title_full_unstemmed | Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism |
title_short | Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism |
title_sort | integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519165/ https://www.ncbi.nlm.nih.gov/pubmed/32978376 http://dx.doi.org/10.1038/s41467-020-18526-1 |
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