Testing microbiome associations with survival times at both the community and individual taxon levels.

ABSTRACT:

Background

Finding microbiome associations with possibly censored survival times is an important problem, especially as specific taxa could serve as biomarkers for disease prognosis or as targets for therapeutic interventions. The two existing methods for survival outcomes, MiRKAT-S and OMiSA, are restricted to testing associations at the community level and do not provide results at the individual taxon level. An ad hoc approach testing each taxon with a survival outcome using the Cox proportional hazard model may not perform well in the microbiome setting with sparse count data and small sample sizes.

Methods

We have previously developed the linear decomposition model (LDM) for testing continuous or discrete outcomes that unifies community-level and taxon-level tests into

SUBMITTER: Hu Y 

PROVIDER: S-EPMC9512219 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature