Impact of demographics on human gut microbial diversity in a US Midwest population

Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States
Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States
Division of Biostatistics and Epidemiology, Weill Medical College of Cornell University, New York, New York, United States
Department of Surgery, Mayo Clinic, Rochester, Minnesota, United States
Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, United States
Department of Health Sciences Research, Mayo Clinic, Rochester, MInnesota, United States
DOI
10.7287/peerj.preprints.1512v1
Subject Areas
Microbiology, Gastroenterology and Hepatology, Public Health, Statistics
Keywords
microbiome, target population, effect size, demographics, microbial diversity
Copyright
© 2015 Chen et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
Cite this article
Chen J, Ryu E, Hathcock M, Ballman K, Chia N, Olson JE, Nelson H. 2015. Impact of demographics on human gut microbial diversity in a US Midwest population. PeerJ PrePrints 3:e1512v1

Abstract

The clinical utility of microbiome biomarkers depends on the reliable and reproducible nature of comparative results. Underappreciation of the variation associated with common demographic, health, and behavioral factors may confound associations of interest and generate false positives. Here, we present the Midwestern Reference Panel (MWRP), a resource for comparative gut microbiome studies conducted in the Midwestern United States. We analyzed the relationships between demographic and health behavior–related factors and the microbiota in this cohort, and estimated their effect sizes. Most variables investigated were associated with the gut microbiota. Specifically, body mass index (BMI), race, sex, and alcohol use were significantly associated with microbial β-diversity (P < 0.05, unweighted UniFrac). BMI, race and alcohol use were also significantly associated with microbial α-diversity (P < 0.05, species richness). Tobacco use showed a trend toward association with the microbiota (P < 0.1, unweighted UniFrac). The effect sizes of the associations, as quantified by adjusted R2 values based on unweighted UniFrac distances, were small (< 1% for all variables), indicating that these factors explain only a small percentage of overall microbiota variability. Nevertheless, the significant associations between these variables and the gut microbiota suggest that they could still be potential confounders in comparative studies and that controlling for these variables in study design, which is the main objective of the MWRP, is important for increasing reproducibility in comparative microbiome studies.

Author Comment

It is a submission to PeerJ for review.

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