The impact of genetic relationship information on genome-assisted breeding values
The impact of genetic relationship information on genome-assisted breeding values
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DOI：
10.1534/genetics.107.081190
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发表时间：
2007-12-01
期刊：
影响因子：
3.3
通讯作者：
Dekkers, J. C. M.
中科院分区：
文献类型：
--
作者：
Habier, D.;Fernando, R. L.;Dekkers, J. C. M.
基因组选择的成功取决于在估计标记效应后，在几个世代中以高精度预测基因组辅助育种值（GEBV）而不需要额外的表型分析的潜力。模拟和实际应用的结果必须评估这种潜力，这需要标记和QTL之间的连锁不平衡（LD）。这项研究表明，标记可以捕获基因分型动物之间的遗传关系，从而影响GEBV的准确性。策略，以验证由于LD的GEBV的准确性。仿真结果表明，即使没有LD，固定回归最小二乘（FR-LS），随机回归最佳线性单基预测（RR-BLUP）和贝叶斯-B获得的GEBV的精度也是非零的。当LD存在时，由于遗传关系的衰减，估计后的准确性在世代中迅速下降。然而，由于LD，存在持久的准确性，这可以通过对遗传关系的衰减和LD的衰减进行建模来估计。遗传关系的影响是最大的RR-BLUP的GEBV的准确性可以完全从标记捕获的遗传关系，并验证基因组选择的潜力，几个generations必须进行分析，以估计由于LD的准确性。选择的方法是贝叶斯-B; FR-LS应进一步研究，而RR-BLUP不能推荐。
The success of genomic selection depends on the potential to predict genome-assisted breeding values (GEBVs) with high accuracy over several generations without additional phenotypinig after estimating marker effects. Results from both simulations and practical applications have to be evaluated for this potential, which requires linkage disequilibrium (LD) between markers and QTL This study shows that markers can capture genetic relationships among genotyped animals, thereby affecting accuracies of GEBVs. Strategies to validate the accuracy of GEBVs due to LD are given. Simulations were used to show that accuracies of GEBVs obtained by fixed regression-least squares (FR-LS), random regression-best linear unibased prediction (RR-BLUP), and Bayes-B are nonzero even without LD. When LD was present, accuracies decrease rapidly in generations after estimation due to the decay of genetic relationships. However, there is a persistent accuracy due to LD, which can be estimated by modeling the decay of genetic relationships and the decay of LD. The impact of genetic relationships was greatest for RR-BLUP The accuracy of GEBVs can result entirely from genetic relationships captured by markers, and to validate the potential of genomic selection, several genenerations have to be analyzed to estimate the accuracy due to LD. The method of choice was Bayes-B; FR-LS should be investigated further, whereas RR-BLUP cannot be recommended.