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dc.contributor.authorMarbach, Daniel
dc.contributor.authorLamparter, David
dc.contributor.authorQuon, Gerald
dc.contributor.authorKellis, Manolis
dc.contributor.authorKutalik, Zoltán
dc.contributor.authorBergmann, Sven
dc.date.accessioned2017-08-31T17:40:05Z
dc.date.available2017-08-31T17:40:05Z
dc.date.issued2016-03
dc.date.submitted2015-07
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/1721.1/111077
dc.description.abstractMapping perturbed molecular circuits that underlie complex diseases remains a great challenge. We developed a comprehensive resource of 394 cell type– and tissue-specific gene regulatory networks for human, each specifying the genome-wide connectivity among transcription factors, enhancers, promoters and genes. Integration with 37 genome-wide association studies (GWASs) showed that disease-associated genetic variants—including variants that do not reach genome-wide significance—often perturb regulatory modules that are highly specific to disease-relevant cell types or tissues. Our resource opens the door to systematic analysis of regulatory programs across hundreds of human cell types and tissuesen_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nmeth.3799en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleTissue-specific regulatory circuits reveal variable modular perturbations across complex diseasesen_US
dc.typeArticleen_US
dc.identifier.citationMarbach, Daniel et al. “Tissue-Specific Regulatory Circuits Reveal Variable Modular Perturbations Across Complex Diseases.” Nature Methods 13, 4 (March 2016): 366–370 © 2016 Nature America, Incen_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorQuon, Gerald
dc.contributor.mitauthorKellis, Manolis
dc.relation.journalNature Methodsen_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
dspace.orderedauthorsMarbach, Daniel; Lamparter, David; Quon, Gerald; Kellis, Manolis; Kutalik, Zoltán; Bergmann, Svenen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1716-0153
mit.licensePUBLISHER_POLICYen_US


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