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dc.contributor.authorVedenko, A.
dc.contributor.authorKurland, J. V.
dc.contributor.authorRogers, J. M.
dc.contributor.authorGisselbrecht, S. S.
dc.contributor.authorWoodard, J.
dc.contributor.authorMariani, L.
dc.contributor.authorKock, K. H.
dc.contributor.authorInukai, S.
dc.contributor.authorSiggers, T.
dc.contributor.authorShokri, L.
dc.contributor.authorGordan, R.
dc.contributor.authorSahni, N.
dc.contributor.authorCotsapas, C.
dc.contributor.authorHao, T.
dc.contributor.authorYi, S.
dc.contributor.authorVidal, M.
dc.contributor.authorHill, D. E.
dc.contributor.authorBarrera, Luis Alberto
dc.contributor.authorRossin, Elizabeth
dc.contributor.authorKellis, Manolis
dc.contributor.authorDaly, Mark J.
dc.contributor.authorBulyk, Martha L.
dc.date.accessioned2017-09-01T13:57:35Z
dc.date.available2017-09-01T13:57:35Z
dc.date.issued2016-03
dc.identifier.issn0036-8075
dc.identifier.issn1095-9203
dc.identifier.urihttp://hdl.handle.net/1721.1/111101
dc.description.abstractSequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.en_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.) (Grant R01 HG003985)en_US
dc.language.isoen_US
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/science.aad2257en_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.titleSurvey of variation in human transcription factors reveals prevalent DNA binding changesen_US
dc.typeArticleen_US
dc.identifier.citationBarrera, L. A. et al. “Survey of Variation in Human Transcription Factors Reveals Prevalent DNA Binding Changes.” Science 351, 6280 (March 2016): 1450–1454. © 2016 American Association for the Advancement of Science (AAAS)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_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. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.mitauthorBarrera, Luis Alberto
dc.contributor.mitauthorRossin, Elizabeth
dc.contributor.mitauthorKellis, Manolis
dc.contributor.mitauthorDaly, Mark J
dc.contributor.mitauthorBulyk, Martha L
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
dspace.orderedauthorsBarrera, L. A.; Vedenko, A.; Kurland, J. V.; Rogers, J. M.; Gisselbrecht, S. S.; Rossin, E. J.; Woodard, J.; Mariani, L.; Kock, K. H.; Inukai, S.; Siggers, T.; Shokri, L.; Gordan, R.; Sahni, N.; Cotsapas, C.; Hao, T.; Yi, S.; Kellis, M.; Daly, M. J.; Vidal, M.; Hill, D. E.; Bulyk, M. L.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4472-4209
mit.licenseOPEN_ACCESS_POLICYen_US


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