Evidence map›Paper›PMID 29788905›Full record

ArticleGenetics, selection, evolution : GSE2018

Genomic prediction of the polled and horned phenotypes in Merino sheep.

Naomi Duijvesteijn, Sunduimijid Bolormaa, Hans D Daetwyler, Julius H J van der Werf

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Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Caprine and Ovine Genomic Selection-Progress and Application.Animals : an open access journal from MDPI · 2024
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Naomi DuijvesteijnCooperative Research Centre for Sheep Industry Innovation, Armidale, NSW, 2351, Australia. nduijves@une.edu.au.ORCID 0000-0001-9984-6177
Sunduimijid BolormaaCooperative Research Centre for Sheep Industry Innovation, Armidale, NSW, 2351, Australia.
Hans D DaetwylerCooperative Research Centre for Sheep Industry Innovation, Armidale, NSW, 2351, Australia.
Julius H J van der WerfCooperative Research Centre for Sheep Industry Innovation, Armidale, NSW, 2351, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn horned sheep breeds, breeding for polledness has been of interest for decades. The objective of this study was to improve prediction of the horned and polled phenotypes using horn scores classified as polled, scurs, knobs or horns. Derived phenotypes polled/non-polled (P/NP) and horned/non-horned (H/NH) were used to test four different strategies for prediction in 4001 purebred Merino sheep. These strategies include the use of single 'single nucleotide polymorphism' (SNP) genotypes, multiple-SNP haplotypes, genome-wide and chromosome-wide genomic best linear unbiased prediction and information from imputed sequence variants from the region including the RXFP2 gene. Low-density genotypes of these animals were imputed to the Illumina Ovine high-density (600k) chip and the 1.78-kb insertion polymorphism in RXFP2 was included in the imputation process to whole-genome sequence. We evaluated the mode of inheritance and validated models by a fivefold cross-validation and across- and between-family prediction.

resultsThe most significant SNPs for prediction of P/NP and H/NH were OAR10_29546872.1 and OAR10_29458450, respectively, located on chromosome 10 close to the 1.78-kb insertion at 29.5 Mb. The mode of inheritance included an additive effect and a sex-dependent effect for dominance for P/NP and a sex-dependent additive and dominance effect for H/NH. Models with the highest prediction accuracies for H/NH used either single SNPs or 3-SNP haplotypes and included a polygenic effect estimated based on traditional pedigree relationships. Prediction accuracies for H/NH were 0.323 for females and 0.725 for males. For predicting P/NP, the best models were the same as for H/NH but included a genomic relationship matrix with accuracies of 0.713 for females and 0.620 for males.

conclusionsOur results show that prediction accuracy is high using a single SNP, but does not reach 1 since the causative mutation is not genotyped. Incomplete penetrance or allelic heterogeneity, which can influence expression of the phenotype, may explain why prediction accuracy did not approach 1 with any of the genetic models tested here. Nevertheless, a breeding program to eradicate horns from Merino sheep can be effective by selecting genotypes GG of SNP OAR10_29458450 or TT of SNP OAR10_29546872.1 since all sheep with these genotypes will be non-horned.

Indexed as

Polymorphism, Single NucleotideQuantitative Trait, HeritableAnimalsBreedingChromosome MappingChromosomesFemaleHornsMaleMultifactorial InheritancePhenotypeReceptors, G-Protein-CoupledSheepWhole Genome SequencingReceptors, G-Protein-Coupled

Identifiers

PMID29788905
PMCPMC5964914

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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.