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Dataset Information

Sputum Bacterial Metacommunities in Distinguishing Heterogeneity in Respiratory Health and Disease.


ABSTRACT:

Background and objective

Cluster-based analysis, or community typing, has been attempted as a method for studying the human microbiome in various body niches with the aim of reducing variations in the bacterial composition and linking the defined communities to host health and disease. In this study, we have presented the bacterial subcommunities in the healthy and the diseased population cohorts and have assessed whether these subcommunities can distinguish different host health conditions.

Methods

We performed community typing analysis on the sputum microbiome dataset obtained from a healthy Korean twin-family cohort (n = 202) and an external chronic obstructive pulmonary disease (COPD) cohort (n = 324) and implemented a networks analysis to investigate the a

SUBMITTER: Si J 

PROVIDER: S-EPMC9008356 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature