The human microbiota is associated with cardiometabolic risk across the epidemiologic transition/Experiment 10

From BugSigDB


Needs review

Curated date: 2024/10/29

Curator: Aleru Divine

Revision editor(s): Aleru Divine

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
Hyperglycemia High blood glucose,High blood sugar,Hyperglycemia,hyperglycemia
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Non-hyperglycemia
Group 1 name Corresponds to the case (exposed) group for case-control studies
Hyperglycemia
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
All(male and female) participants from all countries (Jamaica, Ghana, South Africa and United States of America) with elevated fasted blood glucose (Hyperglycemia).

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

Curated date: 2024/10/29

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Figure S6g

Description: Specific gut bacterial exact sequences variances (ESV) are differentially abundant between non-hyperglycemic and hyperglycemic participants in all countries.

Abundance in Group 1: increased abundance in Hyperglycemia

NCBI Quality ControlLinks
Enterobacteriaceae

Revision editor(s): Aleru Divine