Relationship between MiRKAT and coefficient of determination in similarity matrix regression

Xiang Zhan

doi:10.3390/pr7020079

Relationship between MiRKAT and coefficient of determination in similarity matrix regression

Xiang Zhan

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R ² (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).

Original language	English (US)
Article number	79
Journal	Processes
Volume	7
Issue number	2
DOIs	https://doi.org/10.3390/pr7020079
State	Published - Feb 1 2019

All Science Journal Classification (ASJC) codes

Bioengineering
Chemical Engineering (miscellaneous)
Process Chemistry and Technology

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10.3390/pr7020079

Cite this

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abstract = " The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R 2 (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).",

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Relationship between MiRKAT and coefficient of determination in similarity matrix regression

Abstract

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