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Technical note: Equivalent genomic models with a residual polygenic effect

Overview of attention for article published in Journal of Dairy Science, December 2015
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Title
Technical note: Equivalent genomic models with a residual polygenic effect
Published in
Journal of Dairy Science, December 2015
DOI 10.3168/jds.2015-10394
Pubmed ID
Authors

Z. Liu, M.E. Goddard, B.J. Hayes, F. Reinhardt, R. Reents

Abstract

Routine genomic evaluations in animal breeding are usually based on either a BLUP with genomic relationship matrix (GBLUP) or single nucleotide polymorphism (SNP) BLUP model. For a multi-step genomic evaluation, these 2 alternative genomic models were proven to give equivalent predictions for genomic reference animals. The model equivalence was verified also for young genotyped animals without phenotypes. Due to incomplete linkage disequilibrium of SNP markers to genes or causal mutations responsible for genetic inheritance of quantitative traits, SNP markers cannot explain all the genetic variance. A residual polygenic effect is normally fitted in the genomic model to account for the incomplete linkage disequilibrium. In this study, we start by showing the proof that the multi-step GBLUP and SNP BLUP models are equivalent for the reference animals, when they have a residual polygenic effect included. Second, the equivalence of both multi-step genomic models with a residual polygenic effect was also verified for young genotyped animals without phenotypes. Additionally, we derived formulas to convert genomic estimated breeding values of the GBLUP model to its components, direct genomic values and residual polygenic effect. Third, we made a proof that the equivalence of these 2 genomic models with a residual polygenic effect holds also for single-step genomic evaluation. Both the single-step GBLUP and SNP BLUP models lead to equal prediction for genotyped animals with phenotypes (e.g., reference animals), as well as for (young) genotyped animals without phenotypes. Finally, these 2 single-step genomic models with a residual polygenic effect were proven to be equivalent for estimation of SNP effects, too.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
United States 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 13%
Student > Doctoral Student 3 13%
Student > Bachelor 2 9%
Professor 2 9%
Student > Master 2 9%
Other 6 26%
Unknown 5 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Medicine and Dentistry 3 13%
Biochemistry, Genetics and Molecular Biology 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 6 26%
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 29 February 2016.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Journal of Dairy Science
#8,326
of 11,136 outputs
Outputs of similar age
#275,921
of 396,492 outputs
Outputs of similar age from Journal of Dairy Science
#147
of 250 outputs
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