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dc.contributor.authorAltshuler, Robert Charles
dc.contributor.authorOnuchic, Vitor
dc.contributor.authorLurie, Eugene
dc.contributor.authorCarrero, Ivenise
dc.contributor.authorPawliczek, Piotr
dc.contributor.authorPatel, Ronak Y.
dc.contributor.authorRozowsky, Joel
dc.contributor.authorGaleev, Timur
dc.contributor.authorHuang, Zhuoyi
dc.contributor.authorHarris, R. Alan
dc.contributor.authorCoarfa, Cristian
dc.contributor.authorAshmore, Lillian
dc.contributor.authorBertol, Jessica W.
dc.contributor.authorFakhouri, Walid D.
dc.contributor.authorYu, Fuli
dc.contributor.authorKellis, Manolis
dc.contributor.authorGerstein, Mark
dc.contributor.authorMilosavljevic, Aleksandar
dc.date.accessioned2019-06-07T14:55:32Z
dc.date.available2019-06-07T14:55:32Z
dc.date.issued2018-09
dc.date.submitted2017-10
dc.identifier.issn0036-8075
dc.identifier.issn1095-9203
dc.identifier.urihttps://hdl.handle.net/1721.1/121218
dc.description.abstractTo assess the impact of genetic variation in regulatory loci on human health, we constructed a high-resolution map of allelic imbalances in DNA methylation, histone marks, and gene transcription in 71 epigenomes from 36 distinct cell and tissue types from 13 donors. Deep whole-genome bisulfite sequencing of 49 methylomes revealed sequence-dependent CpG methylation imbalances at thousands of heterozygous regulatory loci. Such loci are enriched for stochastic switching, which is defined as random transitions between fully methylated and unmethylated states of DNA.The methylation imbalances at thousands of loci are explainable by different relative frequencies of the methylated and unmethylated states for the two alleles. Further analyses provided a unifying model that links sequence-dependent allelic imbalances of the epigenome, stochastic switching at gene regulatory loci, and disease-associated genetic variation.en_US
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/SCIENCE.AAR3146en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleAllele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory locien_US
dc.typeArticleen_US
dc.identifier.citationOnuchic, Vitor et al. "Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci." Science 361, 6409 (September 2018): eaar3146 © American Association for the Advancement of Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.relation.journalScienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-06-07T14:13:56Z
dspace.date.submission2019-06-07T14:13:57Z
mit.journal.volume361en_US
mit.journal.issue6409en_US


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