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What Microbiome Studies Can—and Can’t—Tell You About Your Ancestry

By Freedom251 Team · · 4 min read

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No: a gut microbiome test is not a validated way to determine your genetic ancestry. Microbiome studies can find differences between groups, but those patterns may reflect diet, medication, household, geography, or other aspects of life—not inherited ancestry. A 2018 study of 1,046 healthy people in a relatively common environment found no significant association between genetic ancestry and gut microbiome composition. That result is evidence against treating the gut microbiome as a simple ancestry proxy in that setting, not proof that host genetics never affects microbes.

What a microbiome profile measures

A microbiome profile describes the microbial community and genetic material sampled from a particular body site at a particular time. A stool sample, for example, provides information about the gut; it is not a direct reading of the person’s inherited DNA or family tree. Findings about the gut should not automatically be extended to the skin, mouth, or other body sites.

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Genetic ancestry is a different kind of estimate. The National Human Genome Research Institute (NHGRI) explains that “Genetic ancestry is based on a statistical measure of genetic similarity across individuals.” Researchers compare inherited DNA variation with reference data; they do not infer ancestry by sequencing microbes. NHGRI’s definition of genetic ancestry describes the distinction.

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What the strongest direct study found

In a 2018 Nature study, Segal and colleagues analyzed genotype and gut microbiome data from 1,046 healthy people with several ancestral origins who shared a relatively common environment. Genetic ancestry was not significantly associated with gut microbiome composition in the study, and the authors characterized host genetics as having a minor role in determining composition. The finding speaks to that cohort and its measured gut-microbiome outcomes; it does not settle every question about inherited effects, every population, or other body sites. Read the study in Nature.

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The study also found that genetically unrelated people living in the same household had more similar microbiomes. Factors related to diet, drugs, and anthropometric measurements accounted for over 20% of inter-person variation in the researchers’ analysis. This helps explain why a microbial resemblance between people is not, by itself, evidence of shared ancestry: people can share exposures and routines without being genetically related.

Why geography or group differences do not establish ancestry

Researchers have described differences in gut microbiomes among populations. A 2023 review of global gut-microbiome research emphasizes diet and lifestyle as the most influential factors when comparing contrasting environments. It also discusses how migration and displacement can accompany microbiome adaptation to newly adopted lifestyles. A microbial pattern may therefore correlate with where or how a group lives without identifying inherited ancestry as its cause. Read the 2023 review.

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Population-level findings describe patterns across groups. They do not automatically identify an individual, show that a feature is inherited, or establish what caused a difference. Turning a group association into an individual ancestry result requires evidence that a test can reliably distinguish ancestry for individuals; the sources discussed here do not validate that use for microbiome tests.

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Keep ancestry separate from race, ethnicity, and nationality

These terms describe different things and should not be used interchangeably. Genetic ancestry refers to statistical relationships based on inherited DNA. NHGRI describes ethnicity through shared language, religion, customs, beliefs, heritage, and history, and states that “Ethnicity is not a biological characteristic.” Race is a social population descriptor with multiple definitions, not a substitute for genetic ancestry. Nationality and geographic origin refer to other kinds of affiliation or location; neither alone identifies the cause of a microbial pattern. NHGRI explains distinctions between genetics, ancestry, and population descriptors.

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NHGRI’s summary of National Academies guidance says researchers should choose population descriptors that fit the purpose of a study and explain how they are used. It also notes that genomic variation is complex and is not accurately captured by labels such as nationality, geography, or ethnicity. See NHGRI’s summary of the guidance.

Who is represented in microbiome research?

Claims about what is “normal” or “human” depend partly on who has been sampled. A 2022 analysis by Abdill, Adamowicz, and Blekhman examined 444,829 publicly available microbiome samples across 19 body sites in three large genomic repositories. Among samples with known origin, 46.8% came from the United States, although the country represented 4.3% of the world population. Central and southern Asia contributed 1.8% of those samples despite accounting for more than a quarter of the world population. These figures describe the repositories and analysis published in 2022, not a current census of all microbiome research. The authors identified central and southern Asia as particularly underrepresented. Read the 2022 analysis in PLOS Biology.

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When populations are unevenly represented, results may generalize poorly to people who were sampled less often. A model or comparison cannot be more representative than the populations and metadata available to build and evaluate it, which is especially important when a study makes ancestry-related claims.

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How to assess an ancestry claim based on microbes

If a study or product suggests that a microbiome pattern reveals ancestry, check what it actually measures and validates:

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  • Body site: Is the evidence about the gut, or another site? Do not assume results transfer between them.
  • Population and reference data: Who was studied, and are the populations relevant to the people the claim concerns?
  • Study design: Were researchers measuring group-level differences or testing whether a result can accurately identify ancestry for an individual?
  • Possible explanations: Were diet, medication, household, body measurements, geography, and lifestyle considered?
  • Claimed use: Does the evidence validate the specific ancestry result being advertised, rather than merely showing a population-level association?

A stool microbiome result can describe a sample’s microbial features. Without validation for individual ancestry inference, it should not be read as an ancestry estimate, ethnicity result, nationality, or family tree.

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