Evidence map›Paper›PMID 29107345›Full record

ReviewTrends in genetics : TIG2018

Functional Genomics of Host-Microbiome Interactions in Humans.

Francesca Luca, Sonia S Kupfer, Dan Knights, Alexander Khoruts, Ran Blekhman

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Functional Genomics: Principles and Methods.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cell-Free Paper-Based Analysis of Gut Microbiota and Host Biomarkers.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  18. Long-term gut microbiome dynamics inProceedings. Biological sciences · 2021
    Article
  19. Article
  20. 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

5 authors.

Francesca LucaCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA; Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, USA.
Sonia S KupferDepartment of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago, Chicago, IL, USA.
Dan KnightsBiotechnology Institute, University of Minnesota, Minneapolis, MN, USA; Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.
Alexander KhorutsBiotechnology Institute, University of Minnesota, Minneapolis, MN, USA; Department of Medicine, Division of Gastroenterology, Center for Immunology, University of Minnesota, Minneapolis, MN, USA.
Ran BlekhmanDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA; Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, MN, USA. Electronic address: blekhman@umn.edu.

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
Functional Characterization of the Genetic and Environmental Determinants of Complex TraitsR01GM109215 · NIGMS · WAYNE STATE UNIVERSITY · PI Francesca Luca, Roger Pique-Regi · 2014 to 2026
$3.2M
NCI NIH HHS P30 CA022453NIGMS NIH HHS R01 GM109215
6 · The paper itself

Abstract

The human microbiome has been linked to various host phenotypes and has been implicated in many complex human diseases. Recent genome-wide association studies (GWASs) have used microbiome variation as a complex trait and have uncovered human genetic variants that are associated with the microbiome. Here we summarize results from these studies and illustrate potential regulatory mechanisms by which host genetic variation can interact with microbiome composition. We argue that, similar to human GWASs, it is important to use functional genomics techniques to gain a mechanistic understanding of causal host-microbiome interactions and their role in human disease. We highlight experimental, functional, and computational genomics methodologies for the study of the genomic basis of host-microbiome interactions and describe how these approaches can be utilized to explain how human genetic variation can modulate the effects of the microbiome on the host.

Indexed as

Genetic VariationAnimalsGene Expression RegulationGenome-Wide Association StudyGenomicsHumansMicrobiotaTranslational Research, Biomedicalfunctional genomicshost–microbiome interactionshuman genomicsmicrobiome

Identifiers

PMID29107345
PMCPMC5774629

What OpenQuestion holds

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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.