Microbiome-wide association studies link dynamic microbial consortia to disease

Jack A. Gilbert, Robert A. Quinn, Justine Debelius, Zhenjiang Z. Xu, James Morton, Neha Garg, Janet K. Jansson, Pieter C. Dorrestein and Rob Knight ()
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Jack A. Gilbert: University of Chicago
Robert A. Quinn: University of California
Justine Debelius: University of California, San Diego School of Medicine
Zhenjiang Z. Xu: University of California, San Diego School of Medicine
James Morton: Jacobs School of Engineering, University of California
Neha Garg: University of California
Janet K. Jansson: Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory
Pieter C. Dorrestein: University of California
Rob Knight: Center for Microbiome Innovation, Jacobs School of Engineering, University of California

Nature, 2016, vol. 535, issue 7610, 94-103

Abstract: Abstract Rapid advances in DNA sequencing, metabolomics, proteomics and computational tools are dramatically increasing access to the microbiome and identification of its links with disease. In particular, time-series studies and multiple molecular perspectives are facilitating microbiome-wide association studies, which are analogous to genome-wide association studies. Early findings point to actionable outcomes of microbiome-wide association studies, although their clinical application has yet to be approved. An appreciation of the complexity of interactions among the microbiome and the host's diet, chemistry and health, as well as determining the frequency of observations that are needed to capture and integrate this dynamic interface, is paramount for developing precision diagnostics and therapies that are based on the microbiome.

Date: 2016
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DOI: 10.1038/nature18850

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