Evidence map›Paper›PMID 23890200›Full record

ArticleGenetics, selection, evolution : GSE2013

Using pooled data to estimate variance components and breeding values for traits affected by social interactions.

Katrijn Peeters, Esther Dorien Ellen, Piter Bijma

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Article in Genetics, selection, evolution : GSE, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Katrijn PeetersAnimal Breeding and Genomics Centre, Wageningen University, P,O, Box 338, 6700 AH Wageningen, The Netherlands. katrijn.peeters@wur.nl.
Esther Dorien Ellen
Piter Bijma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThrough social interactions, individuals affect one another's phenotype. In such cases, an individual's phenotype is affected by the direct (genetic) effect of the individual itself and the indirect (genetic) effects of the group mates. Using data on individual phenotypes, direct and indirect genetic (co)variances can be estimated. Together, they compose the total genetic variance that determines a population's potential to respond to selection. However, it can be difficult or expensive to obtain individual phenotypes. Phenotypes on traits such as egg production and feed intake are, therefore, often collected on group level. In this study, we investigated whether direct, indirect and total genetic variances, and breeding values can be estimated from pooled data (pooled by group). In addition, we determined the optimal group composition, i.e. the optimal number of families represented in a group to minimise the standard error of the estimates.

methodsThis study was performed in three steps. First, all research questions were answered by theoretical derivations. Second, a simulation study was conducted to investigate the estimation of variance components and optimal group composition. Third, individual and pooled survival records on 12 944 purebred laying hens were analysed to investigate the estimation of breeding values and response to selection.

resultsThrough theoretical derivations and simulations, we showed that the total genetic variance can be estimated from pooled data, but the underlying direct and indirect genetic (co)variances cannot. Moreover, we showed that the most accurate estimates are obtained when group members belong to the same family. Additional theoretical derivations and data analyses on survival records showed that the total genetic variance and breeding values can be estimated from pooled data. Moreover, the correlation between the estimated total breeding values obtained from individual and pooled data was surprisingly close to one. This indicates that, for survival in purebred laying hens, loss in response to selection will be small when using pooled instead of individual data.

conclusionsUsing pooled data, the total genetic variance and breeding values can be estimated, but the underlying genetic components cannot. The most accurate estimates are obtained when group members belong to the same family.

Indexed as

BreedingInterpersonal RelationsQuantitative Trait, HeritableAnimalsChickensEggsFemaleGenetic VariationModels, AnimalModels, GeneticPhenotypeRegression Analysis

Identifiers

PMID23890200
PMCPMC3818455

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.