Ethnicity influences the gut microbiota of individuals sharing a geographical location: a cross-sectional study from a middle-income country/Experiment 5
From BugSigDB
Reviewed Marked as Reviewed by Fatima on 2022/08/9
Curated date: 2022/07/13
Curator: Kaluifeanyi101
Revision editor(s): WikiWorks, Fatima, Kaluifeanyi101, Victoria
Subjects
- Location of subjects
- Malaysia
- 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
- Ethnic group Ethnicity,race,Ethnic group,ethnic group
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Jakun
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- India
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- India ethnic group living in the Segamat Malaysian community.
- Group 0 sample size Number of subjects in the control (unexposed) group
- 54
- Group 1 sample size Number of subjects in the case (exposed) group
- 49
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
- Linear Regression
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- .05
- 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
- diet, demographics, health, hygiene
Alpha Diversity
- Pielou Quantifies how equal the community is numerically
- unchanged
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
Signature 1
Reviewed Marked as Reviewed by Fatima on 2022/08/9
Source: FIGURE 5
Description: Taxa were significantly differentially abundant across ethnicity in Segamat as analyzed using ALDEx2 generalized linear model (FDR<0.1). Description: JI Jakun–Indian.
Abundance in Group 1: increased abundance in India
| NCBI | Quality Control | Links |
|---|---|---|
| Bifidobacterium longum | ||
| Bifidobacterium catenulatum |
Revision editor(s): Kaluifeanyi101
Signature 2
Reviewed Marked as Reviewed by Fatima on 2022/08/9
Source: FIGURE 5
Description: Taxa were significantly differentially abundant across ethnicity in Segamat as analyzed using ALDEx2 generalized linear model (FDR<0.1). Description: JI Jakun–Indian.
Abundance in Group 1: decreased abundance in India
| NCBI | Quality Control | Links |
|---|---|---|
| Klebsiella quasipneumoniae |
Revision editor(s): Kaluifeanyi101
