Evidence map›Paper›PMID 32513310›Full record

ArticleMicrobiome2020

Re-evaluating the relationship between missing heritability and the microbiome.

Gavin M Douglas, Joseph P Bielawski, Morgan G I Langille

Abstract readLetter
In one paragraph

Article in Microbiome, 2020. 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
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The missing heritability in type 1 diabetes.Diabetes, obesity & metabolism · 2022
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. 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

3 authors.

Gavin M DouglasDepartment of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada. gavin.douglas@dal.ca.
Joseph P BielawskiDepartment of Biology, Dalhousie University, Halifax, NS, Canada.
Morgan G I LangilleDepartment of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada.

Funding

CIHR CMF-108026
6 · The paper itself

Abstract

Human genome-wide association studies (GWASs) have recurrently estimated lower heritability estimates than familial studies. Many explanations have been suggested to explain these lower estimates, including that a substantial proportion of genetic variation and gene-by-environment interactions are unmeasured in typical GWASs. The human microbiome is potentially related to both of these explanations, but it has been more commonly considered as a source of unmeasured genetic variation. In particular, it has recently been argued that the genetic variation within the human microbiome should be included when estimating trait heritability. We outline issues with this argument, which in its strictest form depends on the holobiont model of human-microbiome interactions. Instead, we argue that the microbiome could be leveraged to help control for environmental variation across a population, although that remains to be determined. We discuss potential approaches that could be explored to determine whether integrating microbiome sequencing data into GWASs is useful. Video abstract.

Indexed as

Genome-Wide Association StudyMicrobiotaGenetic VariationGenome, HumanHumansPhenotypeEnvironmentGeneticsGWASGxEHeritabilityHolobiontHologenomeHumanMicrobiome

Identifiers

PMID32513310
PMCPMC7282175

What Socratic 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 Socratic graph.