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Jackson, M.A.* ; Verdi, S.* ; Maxan, M.E.* ; Shin, C.M.* ; Zierer, J. ; Bowyer, R.C.E.* ; Martin, T.* ; Williams, F.M.K.* ; Menni, C.* ; Bell, J.T.* ; Spector, T.D.* ; Steves, C.J.*

Gut microbiota associations with common diseases and prescription medications in a population-based cohort.

Nat. Commun. 9:2655 (2018)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The human gut microbiome has been associated with many health factors but variability between studies limits exploration of effects between them. Gut microbiota profiles are available for >2700 members of the deeply phenotyped TwinsUK cohort, providing a uniform platform for such comparisons. Here, we present gut microbiota association analyses for 38 common diseases and 51 medications within the cohort. We describe several novel associations, highlight associations common across multiple diseases, and determine which diseases and medications have the greatest association with the gut microbiota. These results provide a reference for future studies of the gut microbiome and its role in human health.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Genetics
Language english
Publication Year 2018
HGF-reported in Year 2018
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Journal Nature Communications
Quellenangaben Volume: 9, Issue: 1, Pages: , Article Number: 2655 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)
POF-Topic(s) 30505 - New Technologies for Biomedical Discoveries
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503700-001
DOI 10.1038/s41467-018-05184-7
WOS ID WOS:000437834400002
Scopus ID 85049753666
PubMed ID 29985401
Erfassungsdatum 2018-07-24
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