Evidence map›Paper›PMID 24495634›Full record

ArticleGenetics, selection, evolution : GSE2014

Allele frequency changes due to hitch-hiking in genomic selection programs.

Huiming Liu, Anders C Sørensen, Theo H E Meuwissen, Peer Berg

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 51 citations in OpenAlex.

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  16. Unlocking new alleles for leaf rust resistance in the Vavilov wheat collection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Huiming LiuCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, P, O, Box 50, 8830 Tjele, Denmark. Huiming.liu@agrsci.dk.
Anders C Sørensen
Theo H E Meuwissen
Peer Berg
Aarhus University · DKNorwegian University of Life Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenomic selection makes it possible to reduce pedigree-based inbreeding over best linear unbiased prediction (BLUP) by increasing emphasis on own rather than family information. However, pedigree inbreeding might not accurately reflect loss of genetic variation and the true level of inbreeding due to changes in allele frequencies and hitch-hiking. This study aimed at understanding the impact of using long-term genomic selection on changes in allele frequencies, genetic variation and level of inbreeding.

methodsSelection was performed in simulated scenarios with a population of 400 animals for 25 consecutive generations. Six genetic models were considered with different heritabilities and numbers of QTL (quantitative trait loci) affecting the trait. Four selection criteria were used, including selection on own phenotype and on estimated breeding values (EBV) derived using phenotype-BLUP, genomic BLUP and Bayesian Lasso. Changes in allele frequencies at QTL, markers and linked neutral loci were investigated for the different selection criteria and different scenarios, along with the loss of favourable alleles and the rate of inbreeding measured by pedigree and runs of homozygosity.

resultsFor each selection criterion, hitch-hiking in the vicinity of the QTL appeared more extensive when accuracy of selection was higher and the number of QTL was lower. When inbreeding was measured by pedigree information, selection on genomic BLUP EBV resulted in lower levels of inbreeding than selection on phenotype BLUP EBV, but this did not always apply when inbreeding was measured by runs of homozygosity. Compared to genomic BLUP, selection on EBV from Bayesian Lasso led to less genetic drift, reduced loss of favourable alleles and more effectively controlled the rate of both pedigree and genomic inbreeding in all simulated scenarios. In addition, selection on EBV from Bayesian Lasso showed a higher selection differential for mendelian sampling terms than selection on genomic BLUP EBV.

conclusionsNeutral variation can be shaped to a great extent by the hitch-hiking effects associated with selection, rather than just by genetic drift. When implementing long-term genomic selection, strategies for genomic control of inbreeding are essential, due to a considerable hitch-hiking effect, regardless of the method that is used for prediction of EBV.

Indexed as

Gene FrequencyGenetic VariationInbreedingSelection, GeneticAnimalsComputer SimulationFemaleGenomeGenomicsMaleModels, GeneticPhenotypeQuantitative Trait Loci

Identifiers

PMID24495634
PMCPMC3942192
OpenAlexW2121065501

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.