Identifying Host Genetic Variants Associated with Microbiome Composition by Testing Multiple Beta Diversity Matrices.

ABSTRACT:

Objectives

Host genetics have been recently reported to affect human microbiome composition. We previously developed a statistical framework, microbiomeGWAS, to identify host genetic variants associated with microbiome composition by testing a distance matrix. However, statistical power depends on the choice of a microbiome distance matrix. To achieve more robust statistical power, we aim to extend microbiomeGWAS to test the association with many distance matrices, which are defined based on multilevel taxa abundances and phylogenetic information.

Methods

The main challenge is to accurately and rapidly evaluate the significance for millions of SNPs. We propose methods for approximating p values by correcting for the multiple testing introduced by testing many distance matric

SUBMITTER: Hua X 

PROVIDER: S-EPMC6540989 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature