Gut microbiome associations with breast cancer risk factors and tumor characteristics: a pilot study/Experiment 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/10/31

Curated date: 2021/07/05

Curator: Itslanapark

Revision editor(s): Itslanapark, LGeistlinger, WikiWorks, Victoria

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: Age at menarche Age at menarche,age at menarche

Group 0 name Corresponds to the control (unexposed) group for case-control studies: early age at menarche (≤11)

Group 1 name Corresponds to the case (exposed) group for case-control studies: later age at menarche (≥12)

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: breast cancer patients with age at menarche being over 12 years old

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): Antibiotic use one week or more during the month prior to fecal sample collection.

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

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.001

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, ethnic group, race, Confounders controlled for: "total counts" 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.total counts