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dc.contributor.authorErnst, Jason
dc.contributor.authorLiu, Yaping
dc.contributor.authorSarkar, Abhishek Kulshreshtha
dc.contributor.authorKheradpour, Pouya
dc.contributor.authorKellis, Manolis
dc.date.accessioned2017-10-26T19:22:08Z
dc.date.available2017-10-26T19:22:08Z
dc.date.issued2017-10
dc.date.submitted2017-04
dc.identifier.issn1474-760X
dc.identifier.urihttp://hdl.handle.net/1721.1/111975
dc.description.abstractBackground Recombination rate is non-uniformly distributed across the human genome. The variation of recombination rate at both fine and large scales cannot be fully explained by DNA sequences alone. Epigenetic factors, particularly DNA methylation, have recently been proposed to influence the variation in recombination rate. Results We study the relationship between recombination rate and gene regulatory domains, defined by a gene and its linked control elements. We define these links using expression quantitative trait loci (eQTLs), methylation quantitative trait loci (meQTLs), chromatin conformation from publicly available datasets (Hi-C and ChIA-PET), and correlated activity links that we infer across cell types. Each link type shows a “recombination rate valley” of significantly reduced recombination rate compared to matched control regions. This recombination rate valley is most pronounced for gene regulatory domains of early embryonic development genes, housekeeping genes, and constitutive regulatory elements, which are known to show increased evolutionary constraint across species. Recombination rate valleys show increased DNA methylation, reduced doublestranded break initiation, and increased repair efficiency, specifically in the lineage leading to the germ line. Moreover, by using only the overlap of functional links and DNA methylation in germ cells, we are able to predict the recombination rate with high accuracy. Conclusions Our results suggest the existence of a recombination rate valley at regulatory domains and provide a potential molecular mechanism to interpret the interplay between genetic and epigenetic variations.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Award 1-U01-HG007610-01)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Award 1254200)en_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s13059-017-1308-xen_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleEvidence of reduced recombination rate in human regulatory domainsen_US
dc.typeArticleen_US
dc.identifier.citationLiu, Yaping et al. "Evidence of reduced recombination rate in human regulatory domains" Genome Biology 2017, 18 (October 2017):193 © 2017 The Author(s)en_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.mitauthorLiu, Yaping
dc.contributor.mitauthorSarkar, Abhishek Kulshreshtha
dc.contributor.mitauthorKheradpour, Pouya
dc.contributor.mitauthorKellis, Manolis
dc.relation.journalGenome Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2017-10-23T16:11:12Z
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dspace.orderedauthorsLiu, Yaping; Sarkar, Abhishek; Kheradpour, Pouya; Ernst, Jason; Kellis, Manolisen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4636-9255
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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