ReviewAnnals of epidemiology2016
Characterization of the gut microbiome in epidemiologic studies: the multiethnic cohort experience.
Review in Annals of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Breast cancer and microbiome: a systematic review highlighting challenges for clinical translation.BMC women's health · 2025Pooled it
- Gut microbiota phenotypes of obesity.NPJ biofilms and microbiomesPooled it
- Metabolic plasticity of the gut microbiome in response to diets differing in glycemic load in a randomized, crossover, controlled feeding study.The American journal of clinical nutrition · 2025Trial
- Enterolignan Production in a Flaxseed Intervention Study in Postmenopausal US Women of African Ancestry and European Ancestry.Nutrients · 2021Trial
- Taxonomic and functional remodeling of the gut microbiota during aging and implications for microbiota-derived biomarkers.World journal of microbiology & biotechnology · 2026Review
- Stability and Variability of the Human Fecal Microbiome over 2 Years in the Multiethnic Cohort Study: A Metagenomic Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- The human oral microbiome and risk of colorectal cancer within three prospective cohort studies in the United States.Cancer · 2025Article
- Beneficial microbiome and diet interplay in early-onset colorectal cancer.EMBO molecular medicine · 2025Review
- Gut Microbiome Proteomics in Food Allergies.International journal of molecular sciences · 2023Review
- Association of Habitual Intake of Probiotic Supplements and Yogurt with Characteristics of the Gut Microbiome in the Multiethnic Cohort Adiposity Phenotype Study.Gut microbiome (Cambridge, England) · 2023Article
- Valuing the Diversity of Research Methods to Advance Nutrition Science.Advances in nutrition (Bethesda, Md.) · 2022Article
- Associations of the Dietary Inflammatory Index with total adiposity and ectopic fat through the gut microbiota, LPS, and C-reactive protein in the Multiethnic Cohort-Adiposity Phenotype Study.The American journal of clinical nutrition · 2022Article
- Article
- Gut Microbiota and Subjective Memory Complaints in Older Women.Journal of Alzheimer's disease : JAD · 2022Article
- Effects of Dental Implants and Nutrition on Elderly Edentulous Subjects: Protocol for a Factorial Randomized Clinical Trial.Frontiers in nutrition · 2022Article
- Opioid agonist and antagonist use and the gut microbiota: associations among people in addiction treatment.Scientific reports · 2020Article
- The Gut Microbiome and Xenobiotics: Identifying Knowledge Gaps.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
- Associations of plasma trimethylamine N-oxide, choline, carnitine, and betaine with inflammatory and cardiometabolic risk biomarkers and the fecal microbiome in the Multiethnic Cohort Adiposity Phenotype Study.The American journal of clinical nutrition · 2020Article
- Reliability of stool microbiome methods for DNA yields and sequencing among infants and young children.MicrobiologyOpen · 2020Article
- Gut Microbial Protein Expression in Response to Dietary Patterns in a Controlled Feeding Study: A Metaproteomic Approach.Microorganisms · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
purposeThe development of next-generation sequencing and accompanying bioinformatics tools has revolutionized characterization of microbial communities. As interest grows in the role of the human microbiome in health and disease, so does the need for well-powered, robustly designed epidemiologic studies. Here, we discuss sources of bias that can arise in gut microbiome research.
methodsResearch comparing methods of specimen collection, preservation, processing, and analysis of gut microbiome samples is reviewed. Although selected studies are primarily based on the gut, many of the same principles are applicable to samples derived from other anatomical sites. Methods for participant recruitment and sampling of the gut microbiome implemented in an ongoing population-based study, the Multiethnic Cohort (MEC), are also described.
resultsVariation in methodologies can influence the results of human microbiome studies. To help minimize bias, techniques such as sample homogenization, addition of internal standards, and quality filtering should be adopted in protocols. Within the MEC, participant response rates to stool sample collection were comparable to other studies, and in-home stool sample collection yields sufficient high-quality DNA for gut microbiome analysis.
conclusionsApplication of standardized and quality controlled methods in human microbiome studies is necessary to ensure data quality and comparability among studies.
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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.