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Genome-wide association studies and genomic prediction of breeding values for calving performance and body conformation traits in Holstein cattle

Overview of attention for article published in Genetics Selection Evolution, November 2017
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Title
Genome-wide association studies and genomic prediction of breeding values for calving performance and body conformation traits in Holstein cattle
Published in
Genetics Selection Evolution, November 2017
DOI 10.1186/s12711-017-0356-8
Pubmed ID
Authors

Mohammed K. Abo-Ismail, Luiz F. Brito, Stephen P. Miller, Mehdi Sargolzaei, Daniela A. Grossi, Steve S. Moore, Graham Plastow, Paul Stothard, Shadi Nayeri, Flavio S. Schenkel

Abstract

Our aim was to identify genomic regions via genome-wide association studies (GWAS) to improve the predictability of genetic merit in Holsteins for 10 calving and 28 body conformation traits. Animals were genotyped using the Illumina Bovine 50 K BeadChip and imputed to the Illumina BovineHD BeadChip (HD). GWAS were performed on 601,717 real and imputed single nucleotide polymorphism (SNP) genotypes using a single-SNP mixed linear model on 4841 Holstein bulls with breeding value predictions and followed by gene identification and in silico functional analyses. The association results were further validated using five scenarios with different numbers of SNPs. Seven hundred and eighty-two SNPs were significantly associated with calving performance at a genome-wise false discovery rate (FDR) of 5%. Most of these significant SNPs were on chromosomes 18 (71.9%), 17 (7.4%), 5 (6.8%) and 7 (2.4%) and mapped to 675 genes, among which 142 included at least one significant SNP and 532 were nearby one (100 kbp). For body conformation traits, 607 SNPs were significant at a genome-wise FDR of 5% and most of them were located on chromosomes 5 (30%), 18 (27%), 20 (13%), 6 (6%), 7 (5%), 14 (5%) and 13 (3%). SNP enrichment functional analyses for calving traits at a FDR of 1% suggested potential biological processes including musculoskeletal movement, meiotic cell cycle, oocyte maturation and skeletal muscle contraction. Furthermore, pathway analyses suggested potential pathways associated with calving performance traits including tight junction, oxytocin signaling, and MAPK signaling (P < 0.10). The prediction ability of the 1206 significant SNPs was between 78 and 83% of the prediction ability of the BovineSNP50 SNPs for calving performance traits and between 35 and 79% for body conformation traits. Various SNPs that are significantly associated with calving performance are located within or nearby genes with potential roles in tight junction, oxytocin signaling, and MAPK signaling. Combining the significant SNPs or SNPs within or nearby gene(s) from the HD panel with the BovineSNP50 panel yielded a marginal increase in the accuracy of prediction of genomic estimated breeding values for all traits compared to the use of the BovineSNP50 panel alone.

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Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Student > Master 14 16%
Researcher 13 15%
Student > Postgraduate 4 5%
Professor 3 3%
Other 13 15%
Unknown 23 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 39%
Biochemistry, Genetics and Molecular Biology 12 14%
Veterinary Science and Veterinary Medicine 7 8%
Computer Science 3 3%
Medicine and Dentistry 2 2%
Other 6 7%
Unknown 24 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2017.
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#22,764,772
of 25,382,440 outputs
Outputs from Genetics Selection Evolution
#772
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Outputs of similar age
#301,234
of 342,928 outputs
Outputs of similar age from Genetics Selection Evolution
#17
of 18 outputs
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