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dc.contributor.authorWard, Lucas D.
dc.contributor.authorKheradpour, Pouya
dc.contributor.authorIriarte, Benjamin
dc.contributor.authorKamvysselis, Manolis
dc.date.accessioned2019-06-18T20:32:55Z
dc.date.available2019-06-18T20:32:55Z
dc.date.issued2015-05
dc.date.submitted2014-10
dc.identifier.issn0036-8075
dc.identifier.issn1095-9203
dc.identifier.urihttps://hdl.handle.net/1721.1/121352
dc.description.abstractUnderstanding the functional consequences of genetic variation, and how it affects complex human disease and quantitative traits, remains a critical challenge for biomedicine. We present an analysis of RNA sequencing data from 1641 samples across 43 tissues from 175 individuals, generated as part of the pilot phase of the Genotype-Tissue Expression (GTEx) project. We describe the landscape of gene expression across tissues, catalog thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants, describe complex network relationships, and identify signals from genome-wide association studies explained by eQTLs. These findings provide a systematic understanding of the cellular and biological consequences of human genetic variation and of the heterogeneity of such effects among a diverse set of human tissues.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.1262110en_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.titleThe Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humansen_US
dc.typeArticleen_US
dc.identifier.citationGTEx Consortium. "The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans." Science 348, 6235 (May 2015): 648-660 © 2015 American Association for the Advancement of Scienceen_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.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.updated2019-06-07T12:57:38Z
dspace.date.submission2019-06-07T12:57:40Z
mit.journal.volume348en_US
mit.journal.issue6235en_US


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