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

Matthew A. Jackson (), Serena Verdi, Maria-Emanuela Maxan, Cheol Min Shin, Jonas Zierer, Ruth C. E. Bowyer, Tiphaine Martin, Frances M. K. Williams, Cristina Menni, Jordana T. Bell, Tim D. Spector and Claire J. Steves ()
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Matthew A. Jackson: King’s College London
Serena Verdi: King’s College London
Maria-Emanuela Maxan: King’s College Hospital Foundation Trust
Cheol Min Shin: King’s College London
Jonas Zierer: King’s College London
Ruth C. E. Bowyer: King’s College London
Tiphaine Martin: King’s College London
Frances M. K. Williams: King’s College London
Cristina Menni: King’s College London
Jordana T. Bell: King’s College London
Tim D. Spector: King’s College London
Claire J. Steves: King’s College London

Nature Communications, 2018, vol. 9, issue 1, 1-8

Abstract: Abstract 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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05184-7

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DOI: 10.1038/s41467-018-05184-7

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