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PhyloMed: a phylogeny-based test of mediation effect in microbiome.
Hong, Qilin; Chen, Guanhua; Tang, Zheng-Zheng.
Afiliação
  • Hong Q; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53715, USA.
  • Chen G; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53715, USA.
  • Tang ZZ; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53715, USA. tang@biostat.wisc.edu.
Genome Biol ; 24(1): 72, 2023 04 11.
Article em En | MEDLINE | ID: mdl-37041566
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiota Idioma: En Revista: Genome Biol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiota Idioma: En Revista: Genome Biol Ano de publicação: 2023 Tipo de documento: Article