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dc.contributor.authorIrizarry, Rafael A.
dc.contributor.authorDuvallet, Claire
dc.contributor.authorGibbons, Sean Michael
dc.contributor.authorGurry, Thomas Jerome
dc.contributor.authorAlm, Eric J
dc.date.accessioned2018-02-12T20:38:09Z
dc.date.available2018-02-12T20:38:09Z
dc.date.issued2017-12
dc.date.submitted2017-05
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/1721.1/113601
dc.description.abstractHundreds of clinical studies have demonstrated associations between the human microbiome and disease, yet fundamental questions remain on how we can generalize this knowledge. Results from individual studies can be inconsistent, and comparing published data is further complicated by a lack of standard processing and analysis methods. Here we introduce the MicrobiomeHD database, which includes 28 published case-control gut microbiome studies spanning ten diseases. We perform a cross-disease meta-analysis of these studies using standardized methods. We find consistent patterns characterizing disease-associated microbiome changes. Some diseases are associated with over 50 genera, while most show only 10-15 genus-level changes. Some diseases are marked by the presence of potentially pathogenic microbes, whereas others are characterized by a depletion of health-associated bacteria. Furthermore, we show that about half of genera associated with individual studies are bacteria that respond to more than one disease. Thus, many associations found in case-control studies are likely not disease-specific but rather part of a non-specific, shared response to health and disease.en_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/s41467-017-01973-8en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleMeta-analysis of gut microbiome studies identifies disease-specific and shared responsesen_US
dc.typeArticleen_US
dc.identifier.citationDuvallet, Claire et al. “Meta-Analysis of Gut Microbiome Studies Identifies Disease-Specific and Shared Responses.” Nature Communications 8, 1 (December 2017): 1784 © 2017 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorDuvallet, Claire
dc.contributor.mitauthorGibbons, Sean Michael
dc.contributor.mitauthorGurry, Thomas Jerome
dc.contributor.mitauthorAlm, Eric J
dc.relation.journalNature Communicationsen_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.updated2018-02-09T14:43:20Z
dspace.orderedauthorsDuvallet, Claire; Gibbons, Sean M.; Gurry, Thomas; Irizarry, Rafael A.; Alm, Eric J.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8093-8394
dc.identifier.orcidhttps://orcid.org/0000-0002-8639-1860
dc.identifier.orcidhttps://orcid.org/0000-0001-8294-9364
mit.licensePUBLISHER_POLICYen_US


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