Evidence map›Paper›PMID 35749358›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Microbiome-associated human genetic variants impact phenome-wide disease risk.

Robert H George Markowitz, Abigail Leavitt LaBella, Mingjian Shi, Antonis Rokas, John A Capra, Jane F Ferguson, Jonathan D Mosley, Seth R Bordenstein

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
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  6. Review
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  12. Review
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  14. Article
  15. Early-life microbiota-immune homeostasis.Frontiers in immunology · 2023
    Review
  16. Review
  17. Article
  18. Microbiome-associated human genetic variants impact phenome-wide disease risk.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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

8 authors.

Robert H George MarkowitzVanderbilt Microbiome Innovation Center, Vanderbilt University, Nashville, TN 37232.ORCID 0000-0002-0034-970X
Abigail Leavitt LaBellaDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37232.
Mingjian ShiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0003-1569-9822
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37232.ORCID 0000-0002-7248-6551
John A CapraDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94143.
Jane F FergusonVanderbilt Microbiome Innovation Center, Vanderbilt University, Nashville, TN 37232.ORCID 0000-0001-6896-1025
Jonathan D MosleyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0001-6421-2887
Seth R BordensteinVanderbilt Microbiome Innovation Center, Vanderbilt University, Nashville, TN 37232.ORCID 0000-0001-7346-0954

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Ben Ho Park · 1995 to 2026
$172.8M
The Evolution of Gene Regulation and Human DiseaseR35GM127087 · NIGMS · VANDERBILT UNIVERSITY · PI John Anthony Capra · 2018 to 2026
$3.2M
Virtual metabolomics as a discovery tool for novel cardiometabolic disease biologyR01HL142856 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FERGUSON, JANE F, MOSLEY, JONATHAN DAVID · 2019 to 2023
$2.7M
BIDS: Vanderbilt Training Program in BIg Biomedical Data ScienceT32LM012412 · NLM · VANDERBILT UNIVERSITY · PI BLUME, JEFFREY D., GADD, CYNTHIA S · 2016 to 2020
$1.5M
NCI NIH HHS P30 CA068485NHLBI NIH HHS R01 HL142856NIGMS NIH HHS R35 GM127087NLM NIH HHS T32 LM012412
6 · The paper itself

Abstract

Human genetic variation associates with the composition of the gut microbiome, yet its influence on clinical traits remains largely unknown. We analyzed the consequences of nearly a thousand gut microbiome-associated variants (MAVs) on phenotypes reported in electronic health records from tens of thousands of individuals. We discovered and replicated associations of MAVs with neurological, metabolic, digestive, and circulatory diseases. Five significant MAVs in these categories correlate with the relative abundance of microbes down to the strain level. We also demonstrate that these relationships are independently observed and concordant with microbe by disease associations reported in case-control studies. Moreover, a selective sweep and population differentiation impacted some disease-linked MAVs. Combined, these findings establish triad relationships among the human genome, microbiome, and disease. Consequently, human genetic influences may offer opportunities for precision diagnostics of microbiome-associated diseases but also highlight the relevance of genetic background for microbiome modulation and therapeutics.

Indexed as

DiseaseGastrointestinal MicrobiomeGenetic VariationGenome, HumanHumansPhenomicsPhenotypegut microbiomehost–microbe interactionsmicrobiome-associated diseasePheWAS

Identifiers

PMID35749358
PMCPMC9245617

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.