The human microbiota is associated with cardiometabolic risk across the epidemiologic transition/Experiment 13
From BugSigDB
Needs review
Subjects
- Location of subjects
- Ghana
- Jamaica
- South Africa
- United States of America
- 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
- Hypertriglyceridemia hypertriglyceridemia,hypertriglyceridemia (disease),Hypertriglyceridemia
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Non-hypertriglyceridemia
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Hypertriglyceridemia
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Female participants from all countries (Jamaica, Ghana, South Africa and United States of America) with Hypertriglyceridemia.
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- 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).
- centered log-ratio
- Statistical test
- ANCOM
- 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
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, body mass index, sex, Confounders controlled for: "country" 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.country
Signature 1
Needs review
Source: Figure S6j
Description: Specific gut bacterial exact sequences variances (ESV) are differentially abundant between non-hypertriglyceridemic and hypertriglyceridemic female participants in all countries.
Abundance in Group 1: increased abundance in Hypertriglyceridemia
| NCBI | Quality Control | Links |
|---|---|---|
| Bacteroides | ||
| Bacteroides sp. | ||
| Coprococcus | ||
| Parabacteroides |
Revision editor(s): Aleru Divine
Signature 2
Needs review
Source: Figure S6j
Description: Specific gut bacterial exact sequences variances (ESV) are differentially abundant between non-hypertriglyceridemic and hypertriglyceridemic female participants in all countries.
Abundance in Group 1: decreased abundance in Hypertriglyceridemia
| NCBI | Quality Control | Links |
|---|---|---|
| Catenibacterium | ||
| Clostridiaceae | ||
| Oscillospira | ||
| Prevotella |
Revision editor(s): Aleru Divine
