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dc.contributor.authorSrivastava, Gyan
dc.contributor.authorLunnon, Katie
dc.contributor.authorBurgess, Jeremy
dc.contributor.authorYu, Lei
dc.contributor.authorErnst, Jason
dc.contributor.authorMcCabe, Cristin
dc.contributor.authorTang, Anna
dc.contributor.authorRaj, Towfique
dc.contributor.authorReplogle, Joseph
dc.contributor.authorBrodeur, Wendy
dc.contributor.authorGabriel, Stacey
dc.contributor.authorYounkin, Curtis
dc.contributor.authorZou, Fanggeng
dc.contributor.authorSzyf, Moshe
dc.contributor.authorMeissner, Alexander
dc.contributor.authorErtekin-Taner, Nilufer
dc.contributor.authorKellis, Manolis
dc.contributor.authorMill, Jonathan
dc.contributor.authorDe Jager, Philip L.
dc.contributor.authorSchalkwyk, Leonard C.
dc.contributor.authorEaton, Matthew Lucas
dc.contributor.authorEaton, Matthew L.
dc.contributor.authorKeenan, Brendan T.
dc.contributor.authorErnst, Jason
dc.contributor.authorChai, High S.
dc.contributor.authorYounkin, Steven G.
dc.contributor.authorEpstein, Charles B.
dc.contributor.authorSchneider, Julie A.
dc.contributor.authorBernstein, Bradley E.
dc.contributor.authorChibnik, Lori B.
dc.contributor.authorBennett, David A.
dc.date.accessioned2016-01-08T02:35:44Z
dc.date.available2016-01-08T02:35:44Z
dc.date.issued2014-08
dc.date.submitted2014-05
dc.identifier.issn1097-6256
dc.identifier.issn1546-1726
dc.identifier.urihttp://hdl.handle.net/1721.1/100770
dc.description.abstractWe used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the ABCA7 and BIN1 regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD: ANK1, CDH23, DIP2A, RHBDF2, RPL13, SERPINF1 and SERPINF2. Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01 AG036042)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01AG036836)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01 AG17917)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01AG15819)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01 AG032990)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01 AG18023)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant RC2 AG036547)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant P30 AG10161)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant P50 AG016574)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant U01 ES017155)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant KL2 RR024151)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant K25 AG041906-01)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nn.3786en_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.titleAlzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other locien_US
dc.typeArticleen_US
dc.identifier.citationDe Jager, Philip L, Gyan Srivastava, Katie Lunnon, Jeremy Burgess, Leonard C Schalkwyk, Lei Yu, Matthew L Eaton, et al. “Alzheimer’s Disease: Early Alterations in Brain DNA Methylation at ANK1, BIN1, RHBDF2 and Other Loci.” Nat Neurosci 17, no. 9 (August 17, 2014): 1156–1163.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.mitauthorEaton, Matthew Lucasen_US
dc.contributor.mitauthorErnst, Jasonen_US
dc.contributor.mitauthorMeissner, Alexanderen_US
dc.contributor.mitauthorKellis, Manolisen_US
dc.relation.journalNature Neuroscienceen_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.orderedauthorsDe Jager, Philip L; Srivastava, Gyan; Lunnon, Katie; Burgess, Jeremy; Schalkwyk, Leonard C; Yu, Lei; Eaton, Matthew L; Keenan, Brendan T; Ernst, Jason; McCabe, Cristin; Tang, Anna; Raj, Towfique; Replogle, Joseph; Brodeur, Wendy; Gabriel, Stacey; Chai, High S; Younkin, Curtis; Younkin, Steven G; Zou, Fanggeng; Szyf, Moshe; Epstein, Charles B; Schneider, Julie A; Bernstein, Bradley E; Meissner, Alex; Ertekin-Taner, Nilufer; Chibnik, Lori B; Kellis, Manolis; Mill, Jonathan; Bennett, David Aen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8305-9125
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US


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