ArticleAmerican journal of epidemiology2018
Quantification of Human Microbiome Stability Over 6 Months: Implications for Epidemiologic Studies.
Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions.Microbiome · 2023Pooled it
- Prospective and Cross-sectional Associations of the Rectal Tissue Microbiome with Colorectal Adenoma Recurrence.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Trial
- Comparison of oral collection methods for 16S rRNA gene and shotgun metagenomic sequencing.Microbiology spectrum · 2026Article
- Fecal Sample Collection for Gut Microbiome Research in a Prospective Cohort: A Pilot Study within the Australian Breakthrough Cancer Study.Cancer research communications · 2026Article
- Sample Size Estimations Based on Human Microbiome Temporal Stability Over 6 Months: A Shallow Shotgun Metagenome Sequencing Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Dietary Fatty Acid Composition Alters Gut Microbiome in Mice with Obesity-Induced Peripheral Neuropathy.Nutrients · 2025Article
- Stability of the Fecal and Oral Microbiome over 2 Years at -80°C for Multiple Collection Methods.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Article
- Effects of Green Tea Catechins on Prostate Cancer Chemoprevention: The Role of the Gut Microbiome.Cancers · 2022Review
- Optimizing the quality of clinical studies on oral microbiome: A practical guide for planning, performing, and reporting.Periodontology 2000 · 2021Review
- Article
- Functional diversity of microbial ecologies estimated from ancient human coprolites and dental calculus.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Stability of activity space footprint, size, and environmental features over six months.Spatial and spatio-temporal epidemiology · 2019Article
- THREE AUTHORS REPLY.American journal of epidemiology · 2019Article
- Article
- The interaction between invariant Natural Killer T cells and the mucosal microbiota.Immunology · 2018Review
- Invited Commentary: The Microbiome and Population Health-Considerations for Enhancing Study Design and Data Analysis in Observational and Interventional Epidemiology.American journal of epidemiology · 2018Article
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11 authors.
Funding
Abstract
Temporal variation in microbiome measurements can reduce statistical power in research studies. Quantification of this variation is essential for designing studies of chronic disease. We analyzed 16S ribosomal RNA profiles in paired biological specimens separated by 6 months from 3 studies conducted during 1985-2013 (a National Cancer Institute colorectal cancer study, a Costa Rica study, and the Human Microbiome Project). We evaluated temporal stability by calculating intraclass correlation coefficients (ICCs). Sample sizes needed in order to detect microbiome differences between equal numbers of cases and controls for a nested case-control design were calculated on the basis of estimated ICCs. Across body sites, 12 phylum-level ICCs were greater than 0.5. Similarly, 11 alpha-diversity ICCs were greater than 0.5. Fecal beta-diversity estimates had ICCs over 0.5. For a single collection with most microbiome metrics, detecting an odds ratio of 2.0 would require 300-500 cases when matching 1 case to 1 control at P = 0.05. Use of 2 or 3 sequential specimens reduces the number of required subjects by 40%-50% for low-ICC metrics. Relative abundances of major phyla and alpha-diversity metrics have low temporal stability. Thus, detecting associations of moderate effect size with these metrics will require large sample sizes. Because beta diversity for feces is reasonably stable over time, smaller sample sizes can detect associations with community composition. Sequential prediagnostic specimens from thousands of prospectively ascertained cases are required to detect modest disease associations with particular microbiome metrics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.