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dc.contributor.authorPark, Daniel S.
dc.contributor.authorLiu, Brandon
dc.contributor.authorWinnicki, Sarah
dc.contributor.authorReilly, Steven K.
dc.contributor.authorAndersen, Kristian G.
dc.contributor.authorTewhey, Ryan
dc.contributor.authorKotliar, Dylan A.
dc.contributor.authorAndersen, Kristian
dc.contributor.authorMikkelsen, Tarjei
dc.contributor.authorLander, Eric Steven
dc.contributor.authorSchaffner, Stephen F
dc.contributor.authorSabeti, Pardis
dc.date.accessioned2018-07-03T12:29:03Z
dc.date.available2018-07-03T12:29:03Z
dc.date.issued2018-02
dc.date.submitted2015-11
dc.identifier.issn00928674
dc.identifier.urihttp://hdl.handle.net/1721.1/116742
dc.description.abstractAlthough studies have identified hundreds of loci associated with human traits and diseases, pinpointing causal alleles remains difficult, particularly for non-coding variants. To address this challenge, we adapted the massively parallel reporter assay (MPRA) to identify variants that directly modulate gene expression. We applied it to 32,373 variants from 3,642 cis-expression quantitative trait loci and control regions. Detection by MPRA was strongly correlated with measures of regulatory function. We demonstrate MPRA’s capabilities for pinpointing causal alleles, using it to identify 842 variants showing differential expression between alleles, including 53 well-annotated variants associated with diseases and traits. We investigated one in detail, a risk allele for ankylosing spondylitis, and provide direct evidence of a non-coding variant that alters expression of the prostaglandin EP4 receptor. These results create a resource of concrete leads and illustrate the promise of this approach for comprehensively interrogating how non-coding polymorphism shapes human biology.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (grant DP2OD006514)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (grant K99HG0081)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (grant R01HG006785)en_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.CELL.2016.04.027en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleDirect Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assayen_US
dc.typeArticleen_US
dc.identifier.citationTewhey, Ryan, Dylan Kotliar, Daniel S. Park, Brandon Liu, Sarah Winnicki, Steven K. Reilly, Kristian G. Andersen, et al. “Direct Identification of Hundreds of Expression-Modulating Variants Using a Multiplexed Reporter Assay.” Cell 165, no. 6 (June 2016): 1519–1529.en_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorTewhey, Ryan
dc.contributor.mitauthorKotliar, Dylan A.
dc.contributor.mitauthorAndersen, Kristian
dc.contributor.mitauthorMikkelsen, Tarjei
dc.contributor.mitauthorLander, Eric Steven
dc.contributor.mitauthorSchaffner, Stephen F
dc.contributor.mitauthorSabeti, Pardis
dc.relation.journalCellen_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.updated2018-06-28T15:48:22Z
dspace.orderedauthorsTewhey, Ryan; Kotliar, Dylan; Park, Daniel S.; Liu, Brandon; Winnicki, Sarah; Reilly, Steven K.; Andersen, Kristian G.; Mikkelsen, Tarjei S.; Lander, Eric S.; Schaffner, Stephen F.; Sabeti, Pardis C.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7968-645X
mit.licensePUBLISHER_CCen_US


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