Gut microbiota alterations in response to sleep length among African-origin adults/Experiment 1
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 , Saliva 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,Sailva normalis,Saliva atomaris,Saliva molecularis,Salivary gland secretion,Saliva,saliva
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Sleep duration Sleep duration,sleep duration
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Normal Sleepers
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Short Sleepers
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Participants of African descent aged 22 to 45 years who sleep for less than 7 hours daily
- Group 0 sample size Number of subjects in the control (unexposed) group
- 250
- Group 1 sample size Number of subjects in the case (exposed) group
- 154
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).
- raw counts
- Statistical test
- Chi-Square
- T-Test
- 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)?
- No
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, body mass index, 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, Confounders controlled for: "gender" 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.gender
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- decreased
Signature 1
Needs review
Source: FIGURE 1(D)
Description: Differential ESV abundance among short, normal and long sleepers adjusted for BMI, age, gender and countries. ESV with relative abundance ≥ 1% in at least one group shown.
Abundance in Group 1: increased abundance in Short Sleepers
| NCBI | Quality Control | Links |
|---|---|---|
| Dialister | ||
| Bacteroides |
Revision editor(s): AishatBolarinwa
Signature 2
Needs review
Source: FIGURE 1(D)
Description: Differential ESV abundance among short, normal and long sleepers adjusted for BMI, age, gender and countries. ESV with relative abundance ≥ 1% in at least one group shown.
Abundance in Group 1: decreased abundance in Short Sleepers
| NCBI | Quality Control | Links |
|---|---|---|
| Prevotella |
Revision editor(s): AishatBolarinwa
