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Impact of demographics on human gut microbial diversity in a US Midwest population
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 pre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734456/ https://www.ncbi.nlm.nih.gov/pubmed/26839739 http://dx.doi.org/10.7717/peerj.1514 |
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author | Chen, Jun Ryu, Euijung Hathcock, Matthew Ballman, Karla Chia, Nicholas Olson, Janet E Nelson, Heidi |
author_facet | Chen, Jun Ryu, Euijung Hathcock, Matthew Ballman, Karla Chia, Nicholas Olson, Janet E Nelson, Heidi |
author_sort | Chen, Jun |
collection | PubMed |
description | 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 R(2) 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. |
format | Online Article Text |
id | pubmed-4734456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47344562016-02-02 Impact of demographics on human gut microbial diversity in a US Midwest population Chen, Jun Ryu, Euijung Hathcock, Matthew Ballman, Karla Chia, Nicholas Olson, Janet E Nelson, Heidi PeerJ Microbiology 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 R(2) 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. PeerJ Inc. 2016-01-07 /pmc/articles/PMC4734456/ /pubmed/26839739 http://dx.doi.org/10.7717/peerj.1514 Text en © 2016 Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , 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) and either DOI or URL of the article must be cited. |
spellingShingle | Microbiology Chen, Jun Ryu, Euijung Hathcock, Matthew Ballman, Karla Chia, Nicholas Olson, Janet E Nelson, Heidi Impact of demographics on human gut microbial diversity in a US Midwest population |
title | Impact of demographics on human gut microbial diversity in a US Midwest population |
title_full | Impact of demographics on human gut microbial diversity in a US Midwest population |
title_fullStr | Impact of demographics on human gut microbial diversity in a US Midwest population |
title_full_unstemmed | Impact of demographics on human gut microbial diversity in a US Midwest population |
title_short | Impact of demographics on human gut microbial diversity in a US Midwest population |
title_sort | impact of demographics on human gut microbial diversity in a us midwest population |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734456/ https://www.ncbi.nlm.nih.gov/pubmed/26839739 http://dx.doi.org/10.7717/peerj.1514 |
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