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The algorithm for proven and young (APY) from a different perspective

View ORCID ProfileMohammad Ali Nilforooshan
doi: https://doi.org/10.1101/2022.11.23.517757
Mohammad Ali Nilforooshan
Livestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand
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  • ORCID record for Mohammad Ali Nilforooshan
  • For correspondence: mohammad.nilforooshan@lic.co.nz
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Abstract

The inverse of the genomic relationship matrix (G-1) is used in the single-step genomic BLUP, which incorporates genomic, pedigree, and phenotype information for simultaneous genetic evaluation of genotyped and non-genotyped individuals. The rapidly growing number of genotypes is a constraint for inverting a huge G. The APY algorithm is an efficient method of solving this issue. Matrix G has a limited dimensionality. Dividing individuals into core and non-core, G-1 is approximated via the inverse partition of G for core individuals. The quality of the approximation depends on the core size and composition. The APY algorithm conditions genomic breeding values of the non-core individuals to those of the core individuals, leading to a diagonal block of G-1 for non-core individuals Embedded Image. Dividing observations into two groups (e.g., core and non-core, or genotyped and non-genotyped), any symmetric matrix can be expressed in APY and APY inverse expressions, equal to the matrix itself and its inverse, respectively. The change of Gnn to Embedded Image makes APY an approximate. The application of APY is extendable to the inversion of any large symmetric matrix with a limited dimensionality at a lower computational cost. Possible applications are: computing the pedigree relationship matrix (A) from the APY inverse of A-1, a diagonal block of A (same as the previous one, but avoiding unnecessary calculations), and the block of the block-diagonal preconditioner matrix corresponding to marker effects for iterative solving of marker effect model equations. Furthermore, APY may improve the matrix’s numerical condition.

Competing Interest Statement

MAN is employed at Livestock Improvement Corporation, Hamilton, New Zealand. He declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 29, 2022.
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The algorithm for proven and young (APY) from a different perspective
Mohammad Ali Nilforooshan
bioRxiv 2022.11.23.517757; doi: https://doi.org/10.1101/2022.11.23.517757
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The algorithm for proven and young (APY) from a different perspective
Mohammad Ali Nilforooshan
bioRxiv 2022.11.23.517757; doi: https://doi.org/10.1101/2022.11.23.517757

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