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Marker assisted selection using SNP haplotype blocks in dairy cattle.

机译:在奶牛中使用SNP单倍型模块进行标记辅助选择。

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摘要

The aim of this thesis was to develop a method for using haplotypes for selection of dairy cattle. The first step was to develop methodology to define haplotype blocks in Granddaughter Design (GDD) families. A Maximum Likelihood (ML) procedure was developed in a simulation study to detect regions of the chromosome where recombination rates are high (known as hotspots), using information from the genotypes of grandsires and their sons. Different scenarios were tested with different numbers of grandsires (5, 10, 20), sons per grandsire (50, 80) and Single Nucleotide Polymorphisms (SNP) on a chromosome (100, 300). The method was able to successfully define haplotype blocks and detect hotspot regions (p<0.05). The second step was to investigate the possibility of using SNP haplotype blocks for mapping Quantitative Trait Loci (QTL). A chromosome with 300 biallelic markers was simulated with 50 blocks of haplotypes with one biallelic QTL in block 11. Likelihood Ratio (LR) test was used to detect the QTL and critical values of the test statistic corresponding to 1% type II error rate were computed empirically. In a scenario with ten grandsires and 50 sons per grandsire, LR could detect (p<0.01) a QTL of 0.2σ p. The proposed method is powerful enough (0.90) to detect QTL larger than 0.2σp which explain 80% of the genotypic variation of a quantitative trait. Third step was to develop methodology for obtaining QTL solutions without inverting the Identity By Descent (IBD) probability matrix and solving large Mixed Model Equations (MME). An averaged gametic relationship IBD matrix was used in this study, so that the polygenic and QTL incidence matrices were equal. Therefore, application of Henderson's shortcut for the non-additive genetic model to obtain QTL solutions without inverting the IBD matrix was possible. An example with five grandsires, 50 sons per grandsire and 50 daughters per son was used to illustrate the methodology. The full model included fixed contemporary groups and random polygenic, QTL and residual terms. Identical solutions were obtained for the full equations and proposed shortcut method.
机译:本文的目的是开发一种利用单倍型选择奶牛的方法。第一步是开发方法来定义孙女设计(GDD)系列中的单体型模块。在一项模拟研究中开发了最大似然(ML)程序,以使用来自祖父代及其子代的基因型信息来检测重组率较高的染色体区域(称为热点)。测试了不同情况下的染色体数目(100、300),其中有不同数量的大孙(5、10、20),每个大孙的儿子(50、80)和单核苷酸多态性(SNP)。该方法能够成功定义单倍型区并检测热点区域(p <0.05)。第二步是研究使用SNP单倍型模块作图定量性状位点(QTL)的可能性。模拟具有300个双等位基因标记的染色体,并在块11中模拟了50个单倍型和一个双等位QTL。使用似然比(LR)测试来检测QTL,并计算出与1%的II型错误率相对应的测试统计数据的临界值。根据经验。在有10个孙代和每个孙代有50个儿子的情况下,LR可以检测到(p <0.01)Qσ为0.2σp。所提出的方法功能强大(0.90),可以检测到大于0.2σp的QTL,这解释了80%定量性状的基因型变异。第三步是开发获得QTL解决方案的方法,而无需颠倒同一性(IBD)概率矩阵和求解大型混合模型方程(MME)。本研究使用平均配子关系IBD矩阵,因此多基因和QTL发生矩阵相等。因此,可以将亨德森捷径用于非可加遗传模型而无需反转IBD矩阵即可获得QTL解。以五个孙辈,每个孙辈50个儿子和每个儿子50个女儿的示例为例进行说明。完整模型包括固定的当代群体和随机多基因,QTL和残差项。获得了完整方程式的相同解和提出的捷径法。

著录项

  • 作者

    Jafarikia, Mohsen.;

  • 作者单位

    University of Guelph (Canada).;

  • 授予单位 University of Guelph (Canada).;
  • 学科 Biology Genetics.;Agriculture Animal Pathology.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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