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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Published on: June 21, 2018

Short communication: Genomic selection using a multi-breed, across-country reference population.

J E Pryce¹, B Gredler, S Bolormaa

¹Biosciences Research Division, Department of Primary Industries Victoria, 1 Park Drive, Bundoora 3083, Australia. jennie.pryce@dpi.vic.gov.au

Journal of Dairy Science

|April 29, 2011

Summary

Using a multi-breed reference population for genomic selection offered minimal advantage over single-breed evaluations. However, it improved genomic breeding value prediction accuracy for breeds not included in the reference population.

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Area of Science:

Animal breeding and genetics
Quantitative genetics
Genomic selection

Background:

Genomic selection utilizes high-density single nucleotide polymorphism (SNP) markers to predict breeding values.
Reference populations are crucial for accurate genomic breeding value (GBV) prediction.
Multi-breed reference populations are hypothesized to enhance prediction accuracy.

Purpose of the Study:

To assess the accuracy of genomic breeding value prediction using single-breed versus multi-breed reference populations.
To compare the performance of GBLUP and BayesA methods in multi-breed genomic evaluations.
To test the hypothesis that multi-breed reference populations increase genomic selection accuracy.

Main Methods:

Three dairy breeds (Fleckvieh, Holstein, Jersey) formed reference populations, analyzed separately and combined.
Genomic breeding values were predicted using both GBLUP and BayesA methods.
Prediction accuracy was measured as the correlation between estimated breeding values and genomic breeding values.

Main Results:

Multi-breed reference populations provided minimal accuracy advantage over single-breed evaluations for GBLUP and BayesA.
Prediction accuracy was generally similar whether using one or multiple breeds in the reference population.
Predicting GBVs for a breed absent from the reference population improved when including two other breeds.

Conclusions:

The benefits of multi-breed reference populations for genomic selection accuracy are limited.
Multi-breed reference populations show potential for cross-breed prediction, especially when a target breed is unrepresented.
Further research is needed to optimize multi-breed genomic evaluation strategies.