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dc.contributor.authorChibnik, Lori B.
dc.contributor.authorYu, Lei
dc.contributor.authorSrivastava, Gyan
dc.contributor.authorSchneider, Julie A.
dc.contributor.authorKellis, Manolis
dc.contributor.authorBennett, David A.
dc.contributor.authorDe Jager, Philip L.
dc.contributor.authorEaton, Matthew Lucas
dc.date.accessioned2016-01-10T21:21:48Z
dc.date.available2016-01-10T21:21:48Z
dc.date.issued2015-04
dc.date.submitted2015-02
dc.identifier.issn23289503
dc.identifier.urihttp://hdl.handle.net/1721.1/100782
dc.description.abstractObjective We explore the role of DNA methylation in Alzheimer's disease (AD). To elucidate where DNA methylation falls along the causal pathway linking risk factors to disease, we examine causal models to assess its role in the pathology of AD. Methods DNA methylation profiles were generated in 740 brain samples using the Illumina HumanMet450K beadset. We focused our analysis on CpG sites from 11 AD susceptibility gene regions. The primary outcome was a quantitative measure of neuritic amyloid plaque (NP), a key early element of AD pathology. We tested four causal models: (1) independent associations, (2) CpG mediating the association of a variant, (3) reverse causality, and (4) genetic variant by CpG interaction. Results Six genes regions (17 CpGs) showed evidence of CpG associations with NP, independent of genetic variation – BIN1 (5), CLU (5), MS4A6A (3), ABCA7 (2), CD2AP (1), and APOE (1). Together they explained 16.8% of the variability in NP. An interaction effect was seen in the CR1 region for two CpGs, cg10021878 (P = 0.01) and cg05922028 (P = 0.001), in relation to NP. In both cases, subjects with the risk allele rs6656401[superscript AT/AA] display more methylation being associated with more NP burden, whereas subjects with the rs6656401[superscript TT] protective genotype have an inverse association with more methylation being associated with less NP. Interpretation These observations suggest that, within known AD susceptibility loci, methylation is related to pathologic processes of AD and may play a largely independent role by influencing gene expression in AD susceptibility loci.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant K25AG041906)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant P30AG10161)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01AG15819)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01AG17917)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01AG36042)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01AG36836)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant U01AG46152)en_US
dc.language.isoen_US
dc.publisherAmerican Neurological Associationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/acn3.201en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceWileyen_US
dc.titleAlzheimer's loci: epigenetic associations and interaction with genetic factorsen_US
dc.typeArticleen_US
dc.identifier.citationChibnik, Lori B., Lei Yu, Matthew L. Eaton, Gyan Srivastava, Julie A. Schneider, Manolis Kellis, David A. Bennett, and Philip L. De Jager. “Alzheimer’s Loci: Epigenetic Associations and Interaction with Genetic Factors.” Ann Clin Transl Neurol 2, no. 6 (April 24, 2015): 636–647.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.mitauthorKellis, Manolisen_US
dc.relation.journalAnnals of Clinical and Translational Neurologyen_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.orderedauthorsChibnik, Lori B.; Yu, Lei; Eaton, Matthew L.; Srivastava, Gyan; Schneider, Julie A.; Kellis, Manolis; Bennett, David A.; De Jager, Philip L.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8305-9125
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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