Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism
dc.contributor.author | Ramaswami, G | |
dc.contributor.author | Won, H | |
dc.contributor.author | Gandal, MJ | |
dc.contributor.author | Haney, J | |
dc.contributor.author | Wang, JC | |
dc.contributor.author | Wong, CCY | |
dc.contributor.author | Sun, W | |
dc.contributor.author | Prabhakar, S | |
dc.contributor.author | Mill, J | |
dc.contributor.author | Geschwind, DH | |
dc.date.accessioned | 2020-09-28T09:46:03Z | |
dc.date.issued | 2020-09-25 | |
dc.description.abstract | 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. | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | National Institute of Mental Health (NIMH) | en_GB |
dc.description.sponsorship | National Institute of Mental Health (NIMH) | en_GB |
dc.description.sponsorship | National Institute of Mental Health (NIMH) | en_GB |
dc.description.sponsorship | National Institute of Mental Health (NIMH) | en_GB |
dc.description.sponsorship | National Institute of Mental Health (NIMH) | en_GB |
dc.description.sponsorship | National Institute of Mental Health (NIMH) | en_GB |
dc.description.sponsorship | National Institute of Mental Health (NIMH) | en_GB |
dc.description.sponsorship | Simons Foundation Autism Research Initiative (SFARI) | en_GB |
dc.identifier.citation | Vol. 11 (1), article 4873 | en_GB |
dc.identifier.doi | 10.1038/s41467-020-18526-1 | |
dc.identifier.grantnumber | R005176 | en_GB |
dc.identifier.grantnumber | K013807 | en_GB |
dc.identifier.grantnumber | R01MH110927 | en_GB |
dc.identifier.grantnumber | U01MH115746 | en_GB |
dc.identifier.grantnumber | R01MH094714 | en_GB |
dc.identifier.grantnumber | 1F32MH114620 | en_GB |
dc.identifier.grantnumber | R00MH113823 | en_GB |
dc.identifier.grantnumber | R01MH121521 | en_GB |
dc.identifier.grantnumber | R01MH123922 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/123014 | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.rights | 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/. | en_GB |
dc.title | Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-09-28T09:46:03Z | |
exeter.article-number | 4873 | en_GB |
dc.description | This is the final version. Available from Nature Research via the DOI in this record. | en_GB |
dc.description | Full range of values underlying heatmaps in Figs. 2f, i, 4e, f, 5a, b and Supplementary Figs. 7e, g, 8e, f, 9f, g, 10f, g, 11a–d, 13a–c are provided as a Source Data File. Harvard Autism Tissue Program [https://hbtrc.mclean.harvard.edu/], NIH Neuro Brain Bank [http://www.medschool.umaryland.edu/btbank/], Oxford Brain Bank [https://www.hra.nhs.uk/planning-and-improving-research/application-summaries/research-summaries/the-oxford-brain-bank/], MRC London Brain Bank [https://brainbanknetwork.cse.bris.ac.uk/], Raw data for mRNA, miRNA, DNA methylation, and H3K27ac from ASD and control brains (Synapse.org accession number syn4587609), Gencode [https://www.gencodegenes.org/], hg19 genome [http://genome.ucsc.edu/], TargetScan DB [http://www.targetscan.org/cgi-bin/targetscan/data_download.vert72.cgi], Psychencode eQTL and Hi-C datasets [http://resource.psychencode.org/] (Synapse.org accession number: syn10248174 for NeuN-, syn10248215 for NeuN+), LD-score regression model [https://github.com/bulik/ldsc/wiki/Partitioned-Heritability], Gene expression of ASD and control brains from other cortical regions (Synapse.org accession number syn11242290). All other relevant data supporting the key findings of this study are available within the article and its Supplementary Information files or from the corresponding author upon reasonable request. A reporting summary for this article is available as a Supplementary Information file. Source data are provided with this paper. | en_GB |
dc.description | Underlying R code to run SNF clustering and ASD/Control differential analyses is available at [https://github.com/dhglab/ASD-Integration-Subtypes-Manuscript]. | en_GB |
dc.identifier.journal | Nature Communications | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-08-27 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-08-27 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-09-28T09:35:42Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-09-28T09:46:08Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as 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/.