Evidence map›Paper›PMID 37814275›Full record

ArticleMicrobiome2023

Relative abundance data can misrepresent heritability of the microbiome.

Marjolein Bruijning, Julien F Ayroles, Lucas P Henry, Britt Koskella, Kyle M Meyer, C Jessica E Metcalf

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  8. Article
  9. Heritability of theFrontiers in plant science · 2026
    Article
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  12. Review
  13. Article
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  15. Review
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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

6 authors.

Marjolein BruijningInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE, Amsterdam, The Netherlands. m.bruijning@uva.nl.
Julien F AyrolesDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.
Lucas P HenryDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.
Britt KoskellaDepartment of Integrative Biology, University of California, Berkeley, CA, 94720, USA.
Kyle M MeyerDepartment of Integrative Biology, University of California, Berkeley, CA, 94720, USA.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.

Funding

A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effectsR35GM124881 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Julien Ayroles · 2017 to 2026
$3.7M
NIGMS NIH HHS R35 GM124881
6 · The paper itself

Abstract

backgroundHost genetics can shape microbiome composition, but to what extent it does, remains unclear. Like any other complex trait, this important question can be addressed by estimating the heritability (h

resultsWe derived an analytical approximation for the heritability that one obtains when using such relative, and not absolute, abundances, based on an underlying quantitative genetic model for absolute abundances. Based on this, we uncovered three problems that can arise when using relative abundances to estimate microbiome heritability: (1) the interdependency between taxa can lead to imprecise heritability estimates. This problem is most apparent for dominant taxa. (2) Large sample size leads to high false discovery rates. With enough statistical power, the result is a strong overestimation of the number of heritable taxa in a community. (3) Microbial co-abundances lead to biased heritability estimates.

conclusionsWe discuss several potential solutions for advancing the field, focusing on technical and statistical developments, and conclude that caution must be taken when interpreting heritability estimates and comparing values across studies. Video Abstract.

Indexed as

MicrobiotaAbsolute abundanceCompositional dataGenetic varianceHost-microbe associationsMicrobiotaPhenotypic variance

Identifiers

PMID37814275
PMCPMC10561453

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.