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dc.contributor.authorGuo, Michael H.
dc.contributor.authorNandakumar, Satish K.
dc.contributor.authorUlirsch, Jacob C.
dc.contributor.authorBuenrostro, Jason D.
dc.contributor.authorNatarajan, Pradeep
dc.contributor.authorSalem, Rany M.
dc.contributor.authorChiarle, Roberto
dc.contributor.authorMitt, Mario
dc.contributor.authorKals, Mart
dc.contributor.authorPärn, Kalle
dc.contributor.authorFischer, Krista
dc.contributor.authorMilani, Lili
dc.contributor.authorMägi, Reedik
dc.contributor.authorPalta, Priit
dc.contributor.authorMetspalu, Andres
dc.contributor.authorEsko, Tõnu
dc.contributor.authorZekavat, Seyedeh M.
dc.contributor.authorGabriel, Stacey
dc.contributor.authorLander, Eric Steven
dc.contributor.authorKathiresan, Sekar
dc.contributor.authorSankaran, Vijay G.
dc.contributor.authorHirschhorn, Joel N.
dc.date.accessioned2017-05-11T19:42:39Z
dc.date.available2017-05-11T19:42:39Z
dc.date.issued2016-12
dc.date.submitted2016-07
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/108856
dc.description.abstractGenetic variants affecting hematopoiesis can influence commonly measured blood cell traits. To identify factors that affect hematopoiesis, we performed association studies for blood cell traits in the population-based Estonian Biobank using high-coverage whole-genome sequencing (WGS) in 2,284 samples and SNP genotyping in an additional 14,904 samples. Using up to 7,134 samples with available phenotype data, our analyses identified 17 associations across 14 blood cell traits. Integration of WGS-based fine-mapping and complementary epigenomic datasets provided evidence for causal mechanisms at several loci, including at a previously undiscovered basophil count-associated locus near the master hematopoietic transcription factor CEBPA. The fine-mapped variant at this basophil count association near CEBPA overlapped an enhancer active in common myeloid progenitors and influenced its activity. In situ perturbation of this enhancer by CRISPR/Cas9 mutagenesis in hematopoietic stem and progenitor cells demonstrated that it is necessary for and specifically regulates CEBPA expression during basophil differentiation. We additionally identified basophil count-associated variation at another more pleiotropic myeloid enhancer near GATA2, highlighting regulatory mechanisms for ordered expression of master hematopoietic regulators during lineage specification. Our study illustrates how population-based genetic studies can provide key insights into poorly understood cell differentiation processes of considerable physiologic relevance.en_US
dc.description.sponsorshipUnited States. National Institutes of Health (R01 DK103794)en_US
dc.description.sponsorshipUnited States. National Institutes of Health (R33 HL120791)en_US
dc.description.sponsorshipUnited States. National Institutes of Health (R01 DK075787)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1619052114en_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.sourcePNASen_US
dc.titleComprehensive population-based genome sequencing provides insight into hematopoietic regulatory mechanismsen_US
dc.typeArticleen_US
dc.identifier.citationGuo, Michael H.; Nandakumar, Satish K.; Ulirsch, Jacob C.; Zekavat, Seyedeh M.; Buenrostro, Jason D.; Natarajan, Pradeep; Salem, Rany M. et al. “Comprehensive Population-Based Genome Sequencing Provides Insight into Hematopoietic Regulatory Mechanisms.” Proceedings of the National Academy of Sciences 114, no. 3 (December 2016): E327–E336. © 2016 National Academy of Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorZekavat, Seyedeh M.
dc.contributor.mitauthorGabriel, Stacey
dc.contributor.mitauthorLander, Eric Steven
dc.contributor.mitauthorKathiresan, Sekar
dc.contributor.mitauthorHirschhorn, Joel N
dc.contributor.mitauthorSankaran, Vijay G.
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGuo, Michael H.; Nandakumar, Satish K.; Ulirsch, Jacob C.; Zekavat, Seyedeh M.; Buenrostro, Jason D.; Natarajan, Pradeep; Salem, Rany M.; Chiarle, Roberto; Mitt, Mario; Kals, Mart; Pärn, Kalle; Fischer, Krista; Milani, Lili; Mägi, Reedik; Palta, Priit; Gabriel, Stacey B.; Metspalu, Andres; Lander, Eric S.; Kathiresan, Sekar; Hirschhorn, Joel N.; Esko, Tõnu; Sankaran, Vijay G.en_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_POLICYen_US


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