A powerful microbiome-based association test and a microbial taxa discovery framework for comprehensive association mapping.

ABSTRACT:

Background

The role of the microbiota in human health and disease has been increasingly studied, gathering momentum through the use of high-throughput technologies. Further identification of the roles of specific microbes is necessary to better understand the mechanisms involved in diseases related to microbiome perturbations.

Methods

Here, we introduce a new microbiome-based group association testing method, optimal microbiome-based association test (OMiAT). OMiAT is a data-driven testing method which takes an optimal test throughout different tests from the sum of powered score tests (SPU) and microbiome regression-based kernel association test (MiRKAT). We illustrate that OMiAT efficiently discovers significant association signals arising from varying microbial abundances

SUBMITTER: Koh H 

PROVIDER: S-EPMC5402681 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature