Evidence map›Paper›PMID 30312317›Full record

ArticlePloS one2018

A guide to using a multiple-matrix animal model to disentangle genetic and nongenetic causes of phenotypic variance.

Caroline E Thomson, Isabel S Winney, Océane C Salles, Benoit Pujol

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. A Recursive Model Approach to Include Epigenetic Effects in Genetic Evaluations Using Simulated DNA Methylation Effects.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  4. Effects of the Prenatal Maternal Health Status on Calf Disease Prevalences and Respective Genetic Parameter Estimates in German Holstein Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  5. Article
  6. Choose your mother wisely: the familial resemblance of bone adaptation.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
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  12. A generalised approach to the study and understanding of adaptive evolution.Biological reviews of the Cambridge Philosophical Society · 2023
    Article
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  20. Different perspectives on non-genetic inheritance illustrate the versatile utility of the Price equation in evolutionary biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    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

4 authors.

Caroline E ThomsonLaboratoire Evolution & Diversité Biologique (EDB UMR 5174), Université Fédérale Toulouse, Midi-Pyrénées, CNRS, ENSFEA, IRD, UPS, France.ORCID 0000-0002-0337-0416
Isabel S WinneyLaboratoire Evolution & Diversité Biologique (EDB UMR 5174), Université Fédérale Toulouse, Midi-Pyrénées, CNRS, ENSFEA, IRD, UPS, France.ORCID 0000-0001-8606-3720
Océane C SallesLaboratoire Evolution & Diversité Biologique (EDB UMR 5174), Université Fédérale Toulouse, Midi-Pyrénées, CNRS, ENSFEA, IRD, UPS, France.
Benoit PujolLaboratoire Evolution & Diversité Biologique (EDB UMR 5174), Université Fédérale Toulouse, Midi-Pyrénées, CNRS, ENSFEA, IRD, UPS, France.ORCID 0000-0001-9703-6760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-genetic influences on phenotypic traits can affect our interpretation of genetic variance and the evolutionary potential of populations to respond to selection, with consequences for our ability to predict the outcomes of selection. Long-term population surveys and experiments have shown that quantitative genetic estimates are influenced by nongenetic effects, including shared environmental effects, epigenetic effects, and social interactions. Recent developments to the "animal model" of quantitative genetics can now allow us to calculate precise individual-based measures of non-genetic phenotypic variance. These models can be applied to a much broader range of contexts and data types than used previously, with the potential to greatly expand our understanding of nongenetic effects on evolutionary potential. Here, we provide the first practical guide for researchers interested in distinguishing between genetic and nongenetic causes of phenotypic variation in the animal model. The methods use matrices describing individual similarity in nongenetic effects, analogous to the additive genetic relatedness matrix. In a simulation of various phenotypic traits, accounting for environmental, epigenetic, or cultural resemblance between individuals reduced estimates of additive genetic variance, changing the interpretation of evolutionary potential. These variances were estimable for both direct and parental nongenetic variances. Our tutorial outlines an easy way to account for these effects in both wild and experimental populations. These models have the potential to add to our understanding of the effects of genetic and nongenetic effects on evolutionary potential. This should be of interest both to those studying heritability, and those who wish to understand nongenetic variance.

Indexed as

Genetic VariationModels, GeneticPhenotypeAnimalsBiological EvolutionBody SizeEnvironmentGene-Environment InteractionHumans

Identifiers

PMID30312317
PMCPMC6193571

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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.