title: Microbiome-wide association studies link dynamic microbial consortia to disease.
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.
authors.affiliation: Department of Surgery, University of Chicago, Chicago, Illinois 60637, USA.
authors.forename: Jack A
authors.initials: JA
authors.lastname: Gilbert
authors.affiliation: Department of Pharmacology, University of California San Diego, La Jolla, California 92093, USA.|Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, USA.|Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California 92093, USA.
authors.forename: Robert A
authors.initials: RA
authors.lastname: Quinn
authors.affiliation: Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, California 92093, USA.
authors.forename: Justine
authors.initials: J
authors.lastname: Debelius
authors.affiliation: Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, California 92093, USA.
authors.forename: Zhenjiang Z
authors.initials: ZZ
authors.lastname: Xu
authors.affiliation: Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.
authors.forename: James
authors.initials: J
authors.lastname: Morton
authors.affiliation: Department of Pharmacology, University of California San Diego, La Jolla, California 92093, USA.|Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, USA.
authors.forename: Neha
authors.initials: N
authors.lastname: Garg
authors.affiliation: Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, USA.
authors.forename: Janet K
authors.initials: JK
authors.lastname: Jansson
authors.affiliation: Department of Pharmacology, University of California San Diego, La Jolla, California 92093, USA.|Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, USA.|Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California 92093, USA.|Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, California 92093, USA.
authors.forename: Pieter C
authors.initials: PC
authors.lastname: Dorrestein
authors.affiliation: Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California 92093, USA.|Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, California 92093, USA.|Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA.
authors.forename: Rob
authors.initials: R
authors.lastname: Knight
mesh_terms: D000818:Animals; D001419:Bacteria / Q000145:classification / Q000187:drug effects / Q000378:metabolism / Q000472:pathogenicity*; D015415:Biomarkers; D004194:Disease; D004198:Disease Susceptibility / Q000628:therapy; D006262:Health; D006801:Humans; D055442:Metabolome; D059013:Microbial Consortia; D011379:Prognosis
chemical_list: D015415:Biomarkers