Evidence map›Paper›PMID 32791981›Full record

ReviewGenome medicine2020

Strain-level epidemiology of microbial communities and the human microbiome.

Yan Yan, Long H Nguyen, Eric A Franzosa, Curtis Huttenhower

Open access · goldAbstract readReview
In one paragraph

Review in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 1 synthesis or guideline pooled it, 148 citations in OpenAlex.

  1. Pooled it
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  12. bioRxiv : the preprint server for biology · 2026
    Article
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  18. Integrative genomics and functional immunology reveal Clostridia species as modulators of neuroinflammation in amyotrophic lateral sclerosis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Article
  19. Human microbiome acquisition and transmission.Nature reviews. Microbiology · 2025
    Review
  20. Article

29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yan YanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Long H NguyenDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Eric A FranzosaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA. chuttenh@hsph.harvard.edu.ORCID 0000-0002-1110-0096
Broad Institute · USHarvard University · US

Funding

A comprehensive platform for novel therapy development from the microbiomeR24DK110499 · NIDDK · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS · 2017 to 2021
$7.7M
Cancer Research UK Grand Challenge Initiative C10674/A27140NIDDK NIH HHS R24 DK110499NIH NIDDK R24DK110499
6 · The paper itself

Abstract

The biological importance and varied metabolic capabilities of specific microbial strains have long been established in the scientific community. Strains have, in the past, been largely defined and characterized based on microbial isolates. However, the emergence of new technologies and techniques has enabled assessments of their ecology and phenotypes within microbial communities and the human microbiome. While it is now more obvious how pathogenic strain variants are detrimental to human health, the consequences of subtle genetic variation in the microbiome have only recently been exposed. Here, we review the operational definitions of strains (e.g., genetic and structural variants) as they can now be identified from microbial communities using different high-throughput, often culture-independent techniques. We summarize the distribution and diversity of strains across the human body and their emerging links to health maintenance, disease risk and progression, and biochemical responses to perturbations, such as diet or drugs. We list methods for identifying, quantifying, and tracking strains, utilizing high-throughput sequencing along with other molecular and "culturomics" technologies. Finally, we discuss implications of population studies in bridging experimental gaps and leading to a better understanding of the health effects of strains in the human microbiome.

Indexed as

BiodiversityMetagenomicsMicrobiotaDisease SusceptibilityGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansMetagenomePublic Health SurveillanceRNA, Ribosomal, 16SRNA, Ribosomal, 16S16SAmpliconsMetagenomicsMicrobial communitiesMicrobial strainsMicrobiomeMicrobiome epidemiology

Identifiers

PMID32791981
PMCPMC7427293
OpenAlexW3048666573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.