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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)
Verlagsversion Forschungsdaten DOI
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Genetics
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 9, Heft: 1, Seiten: , Artikelnummer: 2655 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed