New Approaches to Volatility Analysis of the Human Gut Microbiome and Associations with Health Outcomes by Daniel Park ’21, Statistics Senior Thesis Defense, Monday, May 10, 1:30 – 2:15 pm, meet at https://meet.google.com/abm-rhgs-fmb.
Abstract: Our bodies are hosts to trillions of bacteria, viruses, and other microorganisms that compose communities called microbiomes. Studies have shown that microbiomes are responsible for crucial biological functions such as immune response and aging. Longitudinal sampling of the same individual over time allows us to track how a microbiome changes over time, but how do we measure temporal change in this context? In this thesis defense, we propose Longitudinal Microbiome Volatility Test, a method for quantifying microbiome volatility and testing for its association with health outcomes in a GLMM framework. We present results from simulation studies and a real-world data analysis of irritable bowel disease patients.