Gestational diabetes-related gut microbiome dysbiosis is not influenced by different Asian ethnicities and dietary interventions: a pilot study/Experiment 2
From BugSigDB
Subjects
- Location of subjects
- Singapore
- 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
- Gestational diabetes diabetes in pregnancy,GDM,gestational diabetes,gestational diabetes mellitus,maternal gestational diabetes mellitus,Gestational diabetes
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Control_Malay (non-GDM)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Control_Chinese(non-GDM)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Pregnant women without gestational diabetes mellitus (GDM)
- Group 0 sample size Number of subjects in the control (unexposed) group
- 5
- Group 1 sample size Number of subjects in the case (exposed) group
- 6
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 1 month
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3-V4
- 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).
- raw counts
- Statistical test
- DESeq2
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.05
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- Yes
Signature 1
Source: Supplementary Fig. S1
Description: Differentially abundant ASVs identified from DeSeq2 based analysis within ethnicity of non-GDM (Control) mothers belonging to Malay and Chinese ethnic groups.
Abundance in Group 1: increased abundance in Control_Chinese(non-GDM)
Revision editor(s): Rahila
Signature 2
Source: Supplementary Fig. S1
Description: Differentially abundant ASVs identified from DeSeq2 based analysis within ethnicity of non-GDM (Control) mothers belonging to Malay and Chinese ethnic groups.
Abundance in Group 1: decreased abundance in Control_Chinese(non-GDM)
Revision editor(s): Rahila
