Stunted microbiota and opportunistic pathogen colonization in caesarean-section birth/Experiment 16
From BugSigDB
Reviewed Marked as Reviewed by KateRasheed on 2025-9-16
Subjects
- Location of subjects
- United Kingdom
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Place of residence measurement Place of residence measurement,place of residence measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- The Barking, Havering and Redbridge University Hospitals NHS Trust and the University College London Hospitals NHS Foundation Trust (BHR + UCLH) on day 7
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- The University Hospitals Leicester NHS Trust (LEI) on day 7
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Babies born in the University Hospitals Leicester NHS Trust (LEI) from May 2014 to December 2017.
Lab analysis
- Sequencing type
- WMS
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- Not specified
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- Statistical test
- Linear Regression
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.25
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- Yes
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- Confounders controlled for: "hospital site" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.hospital site
Signature 1
Reviewed Marked as Reviewed by KateRasheed on 2025-9-16
Source: Table S5
Description: Significant metagenomic species associated with clinical covariates after adjusting for potentially confounding covariates with MaAsLin.
Abundance in Group 1: decreased abundance in The University Hospitals Leicester NHS Trust (LEI) on day 7
| NCBI | Quality Control | Links |
|---|---|---|
| Gemella haemolysans |
Revision editor(s): Ameenatoloko
