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关于单步GBLUP中使用的矩阵条件数的注释

A Note on the Conditioning of the Matrix Used in Single-Step GBLUP.

作者信息

Nilforooshan Mohammad Ali

机构信息

Livestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand.

出版信息

Animals (Basel). 2022 Nov 19;12(22):3208. doi: 10.3390/ani12223208.

Abstract

The single-step genomic BLUP (ssGBLUP) is used worldwide for the simultaneous genetic evaluation of genotyped and non-genotyped animals. It is easily extendible to all BLUP models by replacing the pedigree-based additive genetic relationship matrix () with an augmented pedigree-genomic relationship matrix (). Theoretically, does not introduce any artificially inflated variance. However, inflated genetic variances have been observed due to the incomparability between the genomic relationship matrix () and used in . Usually, is blended and tuned with A22 (the block of for genotyped animals) to improve its numerical condition and compatibility. If deflation/inflation is still needed, a common approach is weighting G-1-A22-1 in the form of τG-1-ωA22-1, added to A-1 to form H-1. In some situations, this can violate the conditional properties upon which is built. Different ways of weighting the H-1 components (A-1, G-1, A22-1, and H-1 itself) were studied to avoid/minimise the violations of the conditional properties of . Data were simulated on ten populations and twenty generations. Responses to weighting different components of H-1 were measured in terms of the regression of phenotypes on the estimated breeding values (the lower the slope, the higher the inflation) and the correlation between phenotypes and the estimated breeding values (predictive ability). Increasing the weight on H-1 increased the inflation. The responses to weighting G-1 were similar to those for H-1. Increasing the weight on A-1 (together with A22-1) was not influential and slightly increased the inflation. Predictive ability is a direct function of the slope of the regression line and followed similar trends. Responses to weighting G-1-A22-1 depend on the inflation/deflation of evaluations from A-1 to H-1 and the compatibility of the two matrices with the heritability used in the model. One possibility is a combination of weighting G-1-A22-1 and weighting H-1. Given recent advances in ssGBLUP, conditioning H-1 might become an interim solution from the past and then not be needed in the future.

摘要

单步基因组最佳线性无偏预测法(ssGBLUP)在全球范围内用于对已分型和未分型动物进行同步遗传评估。通过用增强系谱 - 基因组关系矩阵( )替代基于系谱的加性遗传关系矩阵( ),它可以轻松扩展到所有最佳线性无偏预测(BLUP)模型。从理论上讲, 不会引入任何人为夸大的方差。然而,由于基因组关系矩阵( )与 中使用的 之间缺乏可比性,已观察到遗传方差膨胀的情况。通常, 会与A22( 中已分型动物的子矩阵)进行混合和调整,以改善其数值条件和兼容性。如果仍然需要进行缩减/膨胀处理,一种常见的方法是以τ -1 - ωA22 -1的形式对G -1 - A22 -1进行加权,将其加到A -1上以形成H -1。在某些情况下,这可能会违反构建 时所依据的条件属性。研究了对H -1组件(A -1、G -1、A22 -1和H -1本身)进行加权的不同方法,以避免/最小化对 条件属性的违反。在十个群体和二十代上进行了数据模拟。根据表型对估计育种值的回归(斜率越低,膨胀越高)以及表型与估计育种值之间的相关性(预测能力)来衡量对H -1不同组件加权的响应。增加对H -1的权重会增加膨胀。对G -1加权的响应与对H -1的响应相似。增加对A -1(连同A22 -1)的权重没有影响,并且略微增加了膨胀。预测能力是回归线斜率的直接函数,并遵循类似的趋势。对G -1 - A22 -1加权的响应取决于从A -1到H -1评估的膨胀/缩减以及两个矩阵与模型中使用的遗传力的兼容性。一种可能性是对G -1 - A22 -1加权和对H -1加权相结合。鉴于ssGBLUP的最新进展,对H -1进行条件处理可能会成为过去的一种临时解决方案,未来可能不再需要。

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