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Activity Number: 302
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2016 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #319642
Title: MiCAM: A Powerful Microbial Association Test and Its Comprehensive Mapping Capability
Author(s): Hyunwook Koh* and Martin J. Blaser and Huilin Li
Companies: New York University and New York University and New York University Langone Medical Center
Keywords: Microbial association test ; Microbial group analysis ; Upper-level taxa ; Taxonomic structure ; Phylogenetic tree ; Comprehensive association mapping

The role of the microbiome in human health and disease has been increasingly studied, gathering momentum through the use of high-throughput technologies. Further identification of microbial culprits is necessary to better understand the mechanisms involved in microbiome-induced phenotypes or diseases. Accordingly, not only has the entire microbial community or individual microorganisms, but also the upper-level taxa in different taxonomic ranks (e.g., phylum, class, order, family, and genus) been highlighted as key microbial biomarkers. For assessing upper-level taxa, a conventional ecological method, which is based on the aggregates of microbial abundances in lower-level lineages, has been most commonly used. However, this approach is inefficient by neglecting detailed information about diverse association patterns from nested microorganisms. Here, we investigate different group analytic methods from diverse angles for more robust and powerful testing. We introduce a hierarchical framework, namely, the microbiome comprehensive association mapping (MiCAM), which uses different configurations to fine-map diverse microbial taxa throughout all different taxonomic ranks.

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

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