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Activity Number: 83 - Frontiers in Analysis of Microbiome Data: From Methods to Applications
Type: Invited
Date/Time: Monday, August 8, 2022 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract #320448
Title: Effects of Differential Microbiome Volatility on Longitudinal Association Tests
Author(s): Anna Plantinga* and Daniel Park
Companies: Williams College and Roivant Sciences
Keywords: Microbiome; Volatility; Mixed effects models ; Longitudinal
Abstract:

The level of variability in microbiome composition, along with its composition and diversity, has been associated with conditions such as irritable bowel syndrome and preterm birth. However, existing methods to detect differences in microbiome volatility are limited, and the impact of differential volatility on downstream composition-based tests is not well understood. In particular, differential volatility is hypothesized to play the same role in longitudinal (composition-based) association tests as dispersion effects do in cross-sectional studies, reducing the power of analyses and making location effects more difficult to detect. We propose LMVolTest, a novel approach to quantifying and testing associations with microbiome volatility, and evaluate its performance in simulated and real data. We further explore the impact of differential volatility on the type 1 error and power of composition- and diversity-based tests, then assess whether adjusting for subject-level volatility mitigates impacts.


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