| Preface, theory vs. results |
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1 | (3) |
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3 | (12) |
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3 | (1) |
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3 | (2) |
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Quantitative genetics 1920-1980, or who needs Mendel? |
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5 | (1) |
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QTL detection 1930-1980, theory and experiments |
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6 | (1) |
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From biochemistry to biotechnology, or more markers than we will ever need |
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7 | (2) |
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Genetic mapping functions |
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9 | (3) |
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Physical and genetic mapping, questions of scale |
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12 | (2) |
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14 | (1) |
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Principles of Parameter Estimation |
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15 | (15) |
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15 | (1) |
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Desired properties of QTL parameter estimates |
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16 | (1) |
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Moments method of estimation |
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17 | (1) |
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Least-squares parameter estimation |
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17 | (1) |
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Least-squares solutions for a single parameter |
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18 | (1) |
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Least-squares solutions for the general linear model |
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19 | (1) |
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Maximum likelihood estimation for a single parameter |
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20 | (2) |
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Maximum likelihood multi-parameter estimation |
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22 | (1) |
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Confidence intervals and hypothesis testing for MLE |
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23 | (1) |
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Methods to maximize likelihood functions |
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24 | (1) |
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25 | (1) |
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Second derivative-based methods |
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26 | (1) |
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First derivative-based methods (EM) |
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26 | (1) |
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27 | (1) |
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Minimum difference estimation |
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28 | (1) |
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29 | (1) |
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Random and Fixed Effects, the Mixed Model |
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30 | (18) |
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30 | (1) |
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30 | (2) |
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The mixed model equations |
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32 | (1) |
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Solving the mixed model equations |
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33 | (1) |
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Some important properties of mixed model solutions |
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34 | (1) |
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34 | (1) |
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Multivariate mixed model analysis |
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35 | (2) |
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37 | (1) |
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The individual animal model |
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38 | (1) |
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Grouping individuals with unknown ancestors |
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39 | (1) |
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40 | (1) |
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Maximum likelihood estimation with mixed models |
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41 | (1) |
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Estimation of variance components, analysis of variance type methods |
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41 | (1) |
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Maximum likelihood estimation of variance components |
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42 | (3) |
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Restricted maximum likelihood estimation of variance components |
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45 | (1) |
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The problem of variance components outside the parameter space |
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46 | (1) |
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47 | (1) |
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Experimental Designs to Detect QTL, Generation of Linkage Disequilibrium |
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48 | (27) |
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48 | (1) |
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Assumptions, problems and types of effects postulated |
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48 | (4) |
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Experimental designs for detection of QTL in crosses between inbred lines |
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52 | (1) |
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Linear model analysis of crosses between inbred lines |
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53 | (4) |
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Experimental designs for detection of QTL in segregating populations - general considerations |
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57 | (3) |
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Experimental designs for detection of QTL in segregating populations - large families |
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60 | (3) |
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Experimental designs for detection of QTL in segregating populations - small families |
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63 | (4) |
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Experimental designs based on additional generations |
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67 | (3) |
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Comparison of the expected contrasts for different experimental designs |
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70 | (1) |
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Gametic effect models for complete population analyses |
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71 | (2) |
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73 | (2) |
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QTL Parameter Estimation for Crosses between Inbred Lines |
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75 | (21) |
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75 | (1) |
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Moments method of estimation |
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76 | (1) |
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Least-squares estimation of QTL parameters |
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77 | (4) |
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Least-squares estimation of QTL location for sib-pair analysis with flanking markers |
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81 | (2) |
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Linear regression mapping of QTL with flanking markers |
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83 | (2) |
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Marker information content for interval mapping, uninformative and missing marker genotypes |
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85 | (2) |
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Maximum likelihood QTL parameter estimation for crosses between inbred lines and a single marker |
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87 | (1) |
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Maximum likelihood tests of significance for a segregating |
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88 | (1) |
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Maximum likelihood QTL parameter estimation for crosses between inbred lines and two flanking markers |
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89 | (1) |
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Estimation of QTL parameters by the expectation-maximization algorithm |
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90 | (2) |
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Biases in estimation of QTL parameters with interval mapping |
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92 | (1) |
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The likelihood ratio test with interval mapping |
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93 | (1) |
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94 | (2) |
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Advanced statistical methods for QTL detection and parameter estimation |
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96 | (24) |
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96 | (1) |
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97 | (1) |
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97 | (2) |
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Simultaneous analysis of multiple marker brackets |
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99 | (2) |
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Principles of composite interval mapping |
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101 | (1) |
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Properties of composite interval mapping |
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101 | (1) |
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Derivation of maximum likelihood parameter estimates by composite interval mapping |
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102 | (1) |
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Hypothesis testing with composite interval mapping |
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103 | (1) |
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Multi-marker and QTL analysis by regression of phenotype on marker genotypes |
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104 | (1) |
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Estimation of QTL parameters in outbred propulations |
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105 | (2) |
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Solutions for analysis of field data from segregating populations |
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107 | (2) |
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Maximum likelihood analysis of QTL parameters for the daughter design with linkage to a single marker |
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109 | (2) |
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Maximum likelihood estimation of QTL parameters from other complex pedigrees |
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111 | (1) |
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Non-linear regression estimation for complex pedigrees |
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112 | (2) |
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Maximum likelihood estimation with random effects included in the model |
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114 | (1) |
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Maximum likelihood estimation of QTL effects on categorical traits |
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115 | (2) |
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Estimation of QTL effects with the threshold model |
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117 | (1) |
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Estimation of QTL effects on disease traits by the allele-sharing method |
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118 | (1) |
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119 | (1) |
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Analysis of QTL as Random Effects |
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120 | (22) |
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120 | (1) |
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ML estimation of variance components for the Haseman-Elston sib-pair model |
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121 | (2) |
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The random gametic model of Fernando and Grossman, computing Gv |
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123 | (2) |
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Computing the inverse of Gv |
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125 | (1) |
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Analysis of the random gametic model by a reduced animal model (RAM) |
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126 | (2) |
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Analysis of the random gametic QTL model with multiple QTL and marker brackets |
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128 | (1) |
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Computation of the gametic effects variance matrix |
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129 | (2) |
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The gametic effect model for crosses between inbred lines |
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131 | (1) |
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REML estimation of the QTL variance and recombination for the model of Fernando and Grossman |
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132 | (1) |
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REML estimation of the QTL variance and location with marker brackets |
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133 | (1) |
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Bayesian estimation of QTL effects, determining the prior distribution |
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134 | (4) |
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Formula for Bayesian estimation and tests of significance of a segregating QTL in a simulated grand-daughter design |
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138 | (1) |
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Comparison of ML and Bayesian analyses of a simulated grand-daughter design |
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139 | (1) |
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Markov Chain Monte Carlo algorithms, Gibbs' sampling |
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140 | (1) |
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141 | (1) |
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Statistical Power to Detect QTL, and Parameter Confidence Intervals |
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142 | (15) |
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142 | (1) |
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Estimation of power in crosses between inbred lines |
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143 | (1) |
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Replicate progeny in crosses between inbred lines |
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144 | (2) |
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Estimation of power for segregating populations |
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146 | (4) |
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Power estimates for likelihood ratio tests - general considerations |
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150 | (1) |
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The effect of statistical methodology on the power of QTL detection |
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150 | (1) |
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Estimation of power with random QTL models |
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151 | (1) |
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Confidence intervals for QTL parameters - analytical methods |
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152 | (1) |
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Simulation studies of confidence intervals |
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153 | (1) |
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Empirical methods to estimate CI, parametric and non-parametric bootstrap and jackknife methods |
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154 | (2) |
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156 | (1) |
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Optimization of Experimental Designs |
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157 | (12) |
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157 | (1) |
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Economic optimization of marker spacing when the number of individuals genotyped is non-limiting |
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157 | (1) |
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Economic optimization with replicate progeny |
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158 | (2) |
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160 | (3) |
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Sample pooling - general considerations |
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163 | (1) |
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Estimation of power with sample pooling |
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163 | (3) |
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Comparison of power and sample sizes with random genotyping, selective genotyping, and sample pooling |
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166 | (1) |
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167 | (1) |
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168 | (1) |
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169 | (9) |
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169 | (1) |
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Determination of the genetic map critical interval for a marker locus with a saturated genetic marker map |
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169 | (2) |
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Confidence interval for QTL location with a saturated genetic marker map |
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171 | (1) |
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Fine mapping of QTL via advanced intercross lines |
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172 | (1) |
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173 | (1) |
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Recombinant progeny testing |
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174 | (1) |
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Interval specific congenic strains |
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174 | (2) |
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Recombinant inbred segregation test |
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176 | (1) |
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Fine mapping of QTL in outcrossing populations by identity by descent |
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176 | (1) |
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177 | (1) |
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Complete Genome QTL Scans - the Problem of Multiple Comparisons |
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178 | (12) |
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178 | (1) |
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Multiple markers and whole genome scans |
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179 | (2) |
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QTL detection by permutation tests |
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181 | (1) |
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QTL detection based on the false discovery rate |
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181 | (4) |
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A priori determination of the proportion of false positives |
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185 | (1) |
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Analysis of multiple pedigrees |
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186 | (2) |
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Biases with estimation of multiple QTL |
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188 | (1) |
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189 | (1) |
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Multiple Trait QTL analysis |
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190 | (15) |
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190 | (1) |
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Problems and solutions for multiple trait QTL analyses |
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190 | (1) |
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Multivariate estimation of QTL parameters for correlated traits |
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191 | (2) |
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Comparison of power for single and multitrait QTL analyses |
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193 | (3) |
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196 | (1) |
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Estimation of QTL parameters for correlated traits by canonical transformation |
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197 | (2) |
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Determination of statistical significance for multitrait analyses |
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199 | (1) |
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Selective genotyping with multiple traits |
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200 | (3) |
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203 | (2) |
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Principles of Selection Index and Traditional Breeding Programmes |
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205 | (12) |
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205 | (1) |
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Selection index for a single trait |
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205 | (2) |
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Changes in QTL allelic frequencies due to selection |
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207 | (1) |
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Multitrait selection index |
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208 | (1) |
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The value of genetic gain |
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209 | (2) |
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Dairy cattle breeding programmes, half sib and progeny tests |
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211 | (3) |
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214 | (1) |
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215 | (2) |
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Marker-assisted Selection - Theory |
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217 | (10) |
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217 | (1) |
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Situations in which selection index is inefficient |
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217 | (1) |
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Potential contribution of MAS for selection within a breed - general considerations |
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218 | (1) |
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Phenotypic selection vs. MAS for individual selection |
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219 | (1) |
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MAS for sex-limited traits |
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220 | (1) |
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Two-stage selection: MAS on juveniles and phenotypic selection of adults |
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221 | (1) |
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MAS including marker and phenotypic information on relatives |
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222 | (1) |
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Maximum selection efficiency of MAS with all QTL known, relative to trait-based selection, and the reduction in RSE due to sampling variance |
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223 | (1) |
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Marker information in segregating populations |
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224 | (1) |
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Inclusion of marker information in ``animal model'' genetic evaluations |
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225 | (1) |
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Velogenetics - the synergistic use of MAS and germ-line manipulation |
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225 | (1) |
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226 | (1) |
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Marker-assisted Selection - Results of Simulation Studies |
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227 | (16) |
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227 | (1) |
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Modeling the polygenic variance |
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227 | (2) |
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The effective number of QTL |
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229 | (1) |
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Proposed dairy cattle breeding schemes with MAS - overview |
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230 | (1) |
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Inclusion of marker information into standard progeny test and MOET nucleus breeding schemes |
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230 | (2) |
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Progeny test schemes, in which information on genetic markers is used to preselect young sires |
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232 | (2) |
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Selection of sires based on marker information without a progeny test |
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234 | (1) |
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Long-term considerations, MAS vs. selection index |
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235 | (3) |
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MAS for a multitrait breeding objective with a single identified QTL |
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238 | (3) |
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MAS for a multitrait breeding objective with multiple identified QTL |
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241 | (1) |
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241 | (2) |
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Marker-assisted Introgression |
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243 | (7) |
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243 | (2) |
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Marker-assisted introgression - general considerations |
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245 | (1) |
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Marker-assisted introgression of a major gene into an inbred line |
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246 | (1) |
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Marker-assisted introgression of a QTL into a donor population under selection |
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247 | (1) |
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Marker-assisted introgression for multiple genes |
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248 | (1) |
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249 | (1) |
| Glossary of commonly used symbols |
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250 | (11) |
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250 | (8) |
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258 | (2) |
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260 | (1) |
| References |
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261 | (13) |
| Author index |
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274 | (3) |
| Subject index |
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277 | |