Prediction of total genetic value using genome-wide dense marker maps.
Prediction of total genetic value using genome-wide dense marker maps.
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DOI：
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发表时间：
2001-03
期刊：
影响因子：
3.3
通讯作者：
T. Meuwissen;B. Hayes;M. Goddard
中科院分区：
文献类型：
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作者：
T. Meuwissen;B. Hayes;M. Goddard
分子遗传学技术的最新进展将使密集的标记地图和基因分型的许多人为这些标记的可行性。在这里，我们试图从有限数量的表型记录中同时估计大约50，000个标记单倍型的影响。用1cM的标记间距模拟1000 cM的基因组。将每个1-cM区域周围的标记组合成标记单倍型。由于群体大小N（e）= 100，标记单倍型与位于标记之间的QTL连锁不平衡。使用最小二乘法，所有的单倍型效应不能同时估计。当只包括最大的影响时，它们被高估了，预测记录动物后代遗传值的准确性只有0.32。最好的线性无偏预测的单倍型效应假设等方差与每个1厘米染色体片段，这产生了0.73的准确性，虽然这个假设是远离真实的。贝叶斯方法假设与每个染色体片段相关的方差的先验分布，即使在先验不正确的情况下，也将该准确度提高到0.85。结果表明，根据标记预测的遗传值进行选择，可以显著提高动植物的遗传获得率，特别是如果与缩短世代间隔的繁殖技术相结合。
Recent advances in molecular genetic techniques will make dense marker maps available and genotyping many individuals for these markers feasible. Here we attempted to estimate the effects of approximately 50,000 marker haplotypes simultaneously from a limited number of phenotypic records. A genome of 1000 cM was simulated with a marker spacing of 1 cM. The markers surrounding every 1-cM region were combined into marker haplotypes. Due to finite population size N(e) = 100, the marker haplotypes were in linkage disequilibrium with the QTL located between the markers. Using least squares, all haplotype effects could not be estimated simultaneously. When only the biggest effects were included, they were overestimated and the accuracy of predicting genetic values of the offspring of the recorded animals was only 0.32. Best linear unbiased prediction of haplotype effects assumed equal variances associated to each 1-cM chromosomal segment, which yielded an accuracy of 0.73, although this assumption was far from true. Bayesian methods that assumed a prior distribution of the variance associated with each chromosome segment increased this accuracy to 0.85, even when the prior was not correct. It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.