False discovery rate control incorporating phylogenetic tree increases detection power in microbiome-wide multiple testing

Bioinformatics
Jian XiaoJun Chen

Abstract

Next generation sequencing technologies have enabled the study of the human microbiome through direct sequencing of microbial DNA, resulting in an enormous amount of microbiome sequencing data. One unique characteristic of microbiome data is the phylogenetic tree that relates all the bacterial species. Closely related bacterial species have a tendency to exhibit a similar relationship with the environment or disease. Thus, incorporating the phylogenetic tree information can potentially improve the detection power for microbiome-wide association studies, where hundreds or thousands of tests are conducted simultaneously to identify bacterial species associated with a phenotype of interest. Despite much progress in multiple testing procedures such as false discovery rate (FDR) control, methods that take into account the phylogenetic tree are largely limited. We propose a new FDR control procedure that incorporates the prior structure information and apply it to microbiome data. The proposed procedure is based on a hierarchical model, where a structure-based prior distribution is designed to utilize the phylogenetic tree. By borrowing information from neighboring bacterial species, we are able to improve the statistical power of de...Continue Reading

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Citations

Dec 1, 2017·Briefings in Bioinformatics·Nikolas DovrolisIoanna Maroulakou
Jan 22, 2018·Molecular Neurobiology·Paola CastrogiovanniMichelino Di Rosa
Apr 26, 2020·International Journal of Molecular Sciences·Michelino Di RosaGiuseppe A Palumbo
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May 19, 2021·Genome Biology·Ruizhu HuangMark D Robinson
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Jun 30, 2021·Genome Biology·Ruochen JiangJingyi Jessica Li

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