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Is my study system good enough? A case study for identifying maternal effects.

Anna Marie Holand1, Ingelin Steinsland1

  • 1Department of Mathematical Sciences Centre for Biodiversity Dynamics NTNU NO-7491 Trondheim Norway.

Ecology and Evolution
|April 30, 2016
PubMed
Summary
This summary is machine-generated.

Simulation studies reveal that large maternal effects, at least half the total genetic variance, are necessary for accurate identification in animal models. Omitting these effects can lead to biased estimates of genetic and environmental variances.

Keywords:
(generalized) linear mixed model (animal model)DICINLAmaternal effectssimulation study

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Area of Science:

  • Quantitative genetics
  • Evolutionary biology
  • Ecological modeling

Background:

  • Maternal effects significantly influence offspring phenotypes.
  • Accurate modeling of genetic and environmental factors is crucial in population studies.
  • Identifiability of variance components in mixed models can be challenging.

Purpose of the Study:

  • To assess the identifiability of genetic and individual maternal effects using simulation studies.
  • To explore the consequences of omitting maternal effects in animal models.
  • To provide a methodological framework applicable to wild populations.

Main Methods:

  • Simulation studies using pedigree data from a wild house sparrow (Passer domesticus) population.
  • Fitting of generalized linear mixed models (animal models) with and without maternal effects.
  • Model comparison using the Deviance Information Criterion (DIC).

Main Results:

  • Only substantial maternal effects (≥50% of total genetic variance) were identifiable through simulations.
  • Omitting individual maternal effects biased direct individual variance estimates.
  • Omitting genetic maternal effects led to overestimation of both direct genetic and individual variances.

Conclusions:

  • Simulation studies are valuable for evaluating model identifiability and the impact of omitted variables.
  • Accurate estimation of variance components requires careful consideration of maternal effects.
  • The study provides insights into modeling maternal inheritance in wild populations.