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Activity Number: 239 - Omics II
Type: Contributed
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #328710 Presentation
Title: Using Standard Microbiome Reference Groups to Simplify Beta-Diversity Analyzes and Facilitate Independent Validation
Author(s): Mitchell Gail* and Marlena Maziarz and Ruth Pfeiffer and Yunhu Wan
Companies: National Cancer Institute, Biostatistics Branch and National Cancer Institute, Biostatistics Branch and National Cancer Institute and National Cancer Institute, Biostatistics Branch
Keywords: microbiome; standard reference population; beta-diversity; reproducible research

Comparisons of microbiome communities often use pairwise distance measures (beta-diversity). Current analyses require the primary data if another investigator wants to add or compare independent data. We propose standard reference measurements to simplify microbiome beta-diversity analyses and facilitate independent validation and comparisons. Using stool and nasal reference sets from the Human Microbiome Project (HMP), we computed mean Bray-Curtis distances to each reference set for each new sample. Each new sample thus has two mean distances that can be plotted and analyzed with classical statistical methods. We studied independent (not reference) HMP subjects. Hotelling tests demonstrated statistically significant differences in mean distance vectors between all pairs of body sites (stool, skin, nasal, saliva and vagina) at the phylum, class, order, family, and genus levels. The use of reference vectors simplifies analyses of beta-diversity and facilitates the independent validation because others can compute distances to the same reference sets. Standard statistical methods for survival analysis and logistic regression apply to mean distances to reference sets.

Authors who are presenting talks have a * after their name.

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