Correction of Batch Effect in Gut Microbiota Profiling of ASD Cohorts from Different Geographical Origins.

ABSTRACT:

Background

To date, there have been numerous metataxonomic studies on gut microbiota (GM) profiling based on the analyses of data from public repositories. However, differences in study population and wet and dry pipelines have produced discordant results. Herein, we propose a biostatistical approach to remove these batch effects for the GM characterization in the case of autism spectrum disorders (ASDs).

Methods

An original dataset of GM profiles from patients with ASD was ecologically characterized and compared with GM public digital profiles of age-matched neurotypical controls (NCs). Also, GM data from seven case-control studies on ASD were retrieved from the NCBI platform and exploited for analysis. Hence, on each dataset, conditional quantile regression (CQR) was perfo

SUBMITTER: Scanu M 

PROVIDER: S-EPMC11504477 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature