Evidence map›Paper›PMID 40467859›Full record

ReviewNature reviews. Genetics2026

Genomics of host-microbiome interactions in humans.

Pamela Ferretti, Kelsey Johnson, Sambhawa Priya, Ran Blekhman

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Curcumin Between Pleiotropic Potential and Translational Constraints.International journal of molecular sciences · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
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.

Pamela FerrettiSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Kelsey JohnsonDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA.
Sambhawa PriyaSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Ran BlekhmanSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA. blekhman@uchicago.edu.ORCID http://orcid.org/0000-0003-3218-613X

Funding

Maternal Obesity, Milk Composition, and Infant GrowthR01HD080444 · NICHD · UNIVERSITY OF MINNESOTA · PI ELLEN W. DEMERATH, DAVID A FIELDS · 2014 to 2026
$6.4M
Population Genomics of Host-Microbiome InteractionsR35GM128716 · NIGMS · UNIVERSITY OF MINNESOTA · PI Ran Blekhman · 2018 to 2026
$3.5M
Milk-Omics: Systems Biology of Human Milk and Its Links to Maternal and Infant HealthR01HD109830 · NICHD · UNIVERSITY OF MINNESOTA · PI Ran Blekhman, ELLEN W. DEMERATH · 2022 to 2026
$3.5M
Genetic and genomic influences on human milk composition and impacts on infant healthR00HD113834 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JOHNSON, KELSEY ELIZABETH · 2025 to 2025
$747k
Genetic and genomic influences on human milk composition and impacts on infant healthK99HD113834 · NICHD · UNIVERSITY OF MINNESOTA · PI JOHNSON, KELSEY ELIZABETH · 2024 to 2024
$129k
NICHD NIH HHS K99 HD113834NICHD NIH HHS R00 HD113834NICHD NIH HHS R01 HD080444NICHD NIH HHS R01 HD109830NIGMS NIH HHS R35 GM128716
6 · The paper itself

Abstract

The human microbiome is a complex ecosystem of microorganisms that inhabit the human body and have a crucial role in human health. Microbiome composition is shaped by its interaction with many factors, including human genetics. Advances in genomic technologies are improving the ability to quantify the effect of human genetics on the microbiome through improved heritability studies and microbiome genome-wide association studies (GWAS). Complementary studies using transcriptomic analyses are providing a more comprehensive view of the bidirectional relationship between host gene expression and the microbiome. The resulting insights into the genetic mechanisms driving host-microbiome interactions will ultimately contribute to the development of personalized medicine and targeted therapies.

Indexed as

GenomicsHost Microbial InteractionsMicrobiotaGenome-Wide Association StudyHumansTranscriptome

Identifiers

PMID40467859
PMCPMC13152680

What OpenQuestion holds

Textmetadata
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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.