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Fecal Sample Collection for Gut Microbiome Research in a Prospective Cohort: A Pilot Study within the Australian
Simon Cheah1,2, Jared Burke3, Fiona J Bruinsma1,2,4
1Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Cancer Research Communications
|January 9, 2026
Summary
Home fecal sample collection is feasible for large gut microbiome studies. Methods using fecal occult blood test cards or ethanol tubes yielded comparable results, supporting large-scale analysis.
Area of Science:
- Microbiology
- Human Health
- Epidemiology
Background:
- Prospective analyses of human gut microbiome are crucial for understanding disease development.
- Variation in the gut microbiome plays a significant role in various health conditions.
Purpose of the Study:
- To assess the feasibility of home fecal sample collection for microbiome analysis in a large cohort study.
- To evaluate the impact of different collection methods and questionnaire components on participant compliance and sample quality.
Main Methods:
- A pilot study randomized participants into groups based on fecal sample collection method (fecal occult blood test card vs. ethanol tube) and questionnaire type.
- Participant opt-in rates, sample return rates, and DNA quality/quantity for metagenomic analysis were assessed.
- Whole-genome sequencing and metagenomic analysis were performed on paired samples to compare collection methods.
Main Results:
- 610 out of 1,093 invited participants (56%) opted-in, with 88% returning a sample.
- Sample return rates were comparable across different collection methods and questionnaire additions (48-51%).
- Both fecal occult blood test cards and ethanol tubes provided sufficient DNA quality and quantity, yielding highly concordant microbiome profiles.
Conclusions:
- Home fecal sample collection is a feasible method for large prospective microbiome studies.
- Incorporating additional questionnaires or collection methods did not significantly decrease participant compliance.
- This approach supports future large-scale metagenomic and host-microbiome analyses in cohort studies.

