Evidence map›Paper›PMID 28824167›Full record

ReviewNature reviews. Genetics2017

Human genetic variation and the gut microbiome in disease.

Andrew Brantley Hall, Andrew C Tolonen, Ramnik J Xavier

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 281 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
281citing papers in PubMed, 4 pooled it
21.8field-weighted citation impact, top 1% 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

281 citing papers in PubMed, 4 syntheses or guidelines pooled it, 533 citations in OpenAlex.

  1. Pooled it
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  16. The bacteria of a fig community.Microbiology spectrum · 2026
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221 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

3 authors at 2 institutions in 1 country.

Andrew Brantley HallBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.
Andrew C TolonenBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.
Ramnik J XavierBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.
Harvard University · USBroad Institute · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Characterizing the gut microbial ecosystem for diagnosis and therapy in IBDU54DE023798 · NIDCR · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS, XAVIER, RAMNIK J · 2013 to 2014
$3.0M
Autophagy genes and the microbiome in Crohn's DiseaseR01DK092405 · NIDDK · BROAD INSTITUTE, INC. · PI XAVIER, RAMNIK J · 2012 to 2014
$2.0M
NIDCR NIH HHS U54 DE023798NIDDK NIH HHS P30 DK043351NIDDK NIH HHS R01 DK092405
6 · The paper itself

Abstract

Taxonomic and functional changes to the composition of the gut microbiome have been implicated in multiple human diseases. Recent microbiome genome-wide association studies reveal that variants in many human genes involved in immunity and gut architecture are associated with an altered composition of the gut microbiome. Although many factors can affect the microbial organisms residing in the gut, a number of recent findings support the hypothesis that certain host genetic variants predispose an individual towards microbiome dysbiosis. This condition, in which the normal microbiome population structure is disturbed, is a key feature in disorders of metabolism and immunity.

Indexed as

DysbiosisGastrointestinal MicrobiomeGenetic VariationHumans

Identifiers

PMID28824167
OpenAlexW2749822530

What OpenQuestion holds

Textmetadata
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.