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dc.contributor.authorRamaswami, G
dc.contributor.authorWon, H
dc.contributor.authorGandal, MJ
dc.contributor.authorHaney, J
dc.contributor.authorWang, JC
dc.contributor.authorWong, CCY
dc.contributor.authorSun, W
dc.contributor.authorPrabhakar, S
dc.contributor.authorMill, J
dc.contributor.authorGeschwind, DH
dc.date.accessioned2020-09-28T09:46:03Z
dc.date.issued2020-09-25
dc.description.abstractAutism 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.sponsorshipMedical Research Council (MRC)en_GB
dc.description.sponsorshipMedical Research Council (MRC)en_GB
dc.description.sponsorshipNational Institute of Mental Health (NIMH)en_GB
dc.description.sponsorshipNational Institute of Mental Health (NIMH)en_GB
dc.description.sponsorshipNational Institute of Mental Health (NIMH)en_GB
dc.description.sponsorshipNational Institute of Mental Health (NIMH)en_GB
dc.description.sponsorshipNational Institute of Mental Health (NIMH)en_GB
dc.description.sponsorshipNational Institute of Mental Health (NIMH)en_GB
dc.description.sponsorshipNational Institute of Mental Health (NIMH)en_GB
dc.description.sponsorshipSimons Foundation Autism Research Initiative (SFARI)en_GB
dc.identifier.citationVol. 11 (1), article 4873en_GB
dc.identifier.doi10.1038/s41467-020-18526-1
dc.identifier.grantnumberR005176en_GB
dc.identifier.grantnumberK013807en_GB
dc.identifier.grantnumberR01MH110927en_GB
dc.identifier.grantnumberU01MH115746en_GB
dc.identifier.grantnumberR01MH094714en_GB
dc.identifier.grantnumber1F32MH114620en_GB
dc.identifier.grantnumberR00MH113823en_GB
dc.identifier.grantnumberR01MH121521en_GB
dc.identifier.grantnumberR01MH123922en_GB
dc.identifier.urihttp://hdl.handle.net/10871/123014
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.rightsOpen 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.titleIntegrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autismen_GB
dc.typeArticleen_GB
dc.date.available2020-09-28T09:46:03Z
exeter.article-number4873en_GB
dc.descriptionThis is the final version. Available from Nature Research via the DOI in this record. en_GB
dc.descriptionFull 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.descriptionUnderlying 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.journalNature Communicationsen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-08-27
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-08-27
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-09-28T09:35:42Z
refterms.versionFCDVoR
refterms.dateFOA2020-09-28T09:46:08Z
refterms.panelAen_GB


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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/.
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/.