Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53715, USA.
Genome Biol. 2023 Apr 11;24(1):72. doi: 10.1186/s13059-023-02902-3.
Microbiome data from sequencing experiments contain the relative abundance of a large number of microbial taxa with their evolutionary relationships represented by a phylogenetic tree. The compositional and high-dimensional nature of the microbiome mediator challenges the validity of standard mediation analyses. We propose a phylogeny-based mediation analysis method called PhyloMed to address this challenge. Unlike existing methods that directly identify individual mediating taxa, PhyloMed discovers mediation signals by analyzing subcompositions defined on the phylogenic tree. PhyloMed produces well-calibrated mediation test p-values and yields substantially higher discovery power than existing methods.
测序实验的微生物组数据包含大量微生物类群的相对丰度,其进化关系由系统发育树表示。微生物组中介的组成和高维性质挑战了标准中介分析的有效性。我们提出了一种基于系统发育的中介分析方法,称为 PhyloMed,以解决这一挑战。与直接识别单个中介类群的现有方法不同,PhyloMed 通过分析系统发育树上定义的子成分来发现中介信号。PhyloMed 产生了经过良好校准的中介测试 p 值,并比现有方法具有更高的发现能力。