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Open AccessArticle

A Weighted Genomic Relationship Matrix Based on Fixation Index (FST) Prioritized SNPs for Genomic Selection

1
Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA
2
ABS Global, Inc., DeForest, WI 53532, USA
3
USDA Agricultural Research Service, Fort Keogh Livestock and Range Research Laboratory, Miles City, MT 59301, USA
4
Department of Poultry Science, University of Georgia, Athens, GA 30602, USA
5
Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA
*
Author to whom correspondence should be addressed.
Genes 2019, 10(11), 922; https://doi.org/10.3390/genes10110922
Received: 22 October 2019 / Revised: 6 November 2019 / Accepted: 8 November 2019 / Published: 12 November 2019
A dramatic increase in the density of marker panels has been expected to increase the accuracy of genomic selection (GS), unfortunately, little to no improvement has been observed. By including all variants in the association model, the dimensionality of the problem should be dramatically increased, and it could undoubtedly reduce the statistical power. Using all Single nucleotide polymorphisms (SNPs) to compute the genomic relationship matrix (G) does not necessarily increase accuracy as the additive relationships can be accurately estimated using a much smaller number of markers. Due to these limitations, variant prioritization has become a necessity to improve accuracy. The fixation index (FST) as a measure of population differentiation has been used to identify genome segments and variants under selection pressure. Using prioritized variants has increased the accuracy of GS. Additionally, FST can be used to weight the relative contribution of prioritized SNPs in computing G. In this study, relative weights based on FST scores were developed and incorporated into the calculation of G and their impact on the estimation of variance components and accuracy was assessed. The results showed that prioritizing SNPs based on their FST scores resulted in an increase in the genetic similarity between training and validation animals and improved the accuracy of GS by more than 5%. View Full-Text
Keywords: high density; sequence data; genomic selection; accuracy high density; sequence data; genomic selection; accuracy
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Chang, L.-Y.; Toghiani, S.; Hay, E.H.; Aggrey, S.E.; Rekaya, R. A Weighted Genomic Relationship Matrix Based on Fixation Index (FST) Prioritized SNPs for Genomic Selection. Genes 2019, 10, 922.

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